7 Model Selection Jobs nearby Navi Mumbai

As a member of the Digital Advisory team at Arcadis, your role will involve assisting in data extraction from various sources such as PDFs, images, and databases. You will also support optical character recognition processes for digitizing data from images and contribute to understanding data through natural language processing. Your responsibilities will extend to collaborating with business domain experts to derive business value drivers and documenting model design choices and algorithm selection processes. Additionally, you will collaborate effectively in cross-functional teams within the CoE and the organization at large, proactively seeking opportunities to contribute beyond assigned tasks. Qualifications & Experience: - Fresh graduates or candidates with 0-1 year of experience as a Python Developer/ Data Scientist - Proficiency in Python with a focus on developing foundational skills - Exposure to NLP and image processing concepts - Familiarity with version control systems like Git - Basic understanding of Azure deployments - Aptitude for OCR, ML model training, and transfer learning - Willingness to work with unstructured data formats such as PDFs, DOCX, and images - Familiarity with data science best practices and the ML lifecycle - Tool Exposure: Basic understanding of Power BI, KNIME, Git, Azure, Python, and R programming - Data mining, cleaning, and engineering skills - Visualization and data analysis capabilities - Software development experience Arcadis is committed to providing equal opportunities for all employees to be their best and contribute to the company's success. By joining Arcadis, you will have the opportunity to work on meaningful projects that deliver sustainable solutions for a more prosperous planet. Your unique experience and expertise will be valued as you carve your career path and make a significant impact. Join Arcadis and be a part of creating a lasting legacy.,

As a hiring partner for many IT organizations,We are hiring for Sr. Architect AI-Gen AI position as direct full time on the payroll the Hiring Organization as their permanent employee.Please share your updated word format resume with CTC, Location and Notice period at the earliest at "info@unimorphtech.com". Role : senior architect - artificial intelligenceExperience : 10-15 YrsLocation : Mumbai or Pune # key skills : AI solutions,Gen AI,Design and develop AI applications,Deep Learning,Machine learning models,ETL,Data processing,NLP,AI tools,machine learning models, algorithms, and frameworks,Python,R,TensorFlow, PyTorch,cloud platforms AWS, Azure,RDBMS,Cloud Databases,NOSQL,Technical Leadership,mentoring. # job summary : This is a strategic leadership role responsible for designing, implementing, and overseeing advanced artificial intelligence (AI) solutions and processes. The Senior AI Architect collaborates closely with customers to ensure AI solutions align with business objectives, are scalable, and meet industry standards. This role plays a crucial part in driving innovation through AI, ensuring the sustainable and efficient implementation of cutting-edge technologies to deliver impactful solutions for our customers.  # key responsibilities: Design and develop AI applications across various domains, leveraging expertise in Generative AI, deep learning, NLP, and computer vision. Partner with business stakeholders to translate business objectives into actionable AI and Generative AI initiatives. Collaborate with data scientists, engineers, and domain experts to ensure the effective execution of AI projects. Evaluate emerging AI technologies and tools, assessing their suitability for organizational needs. Architect and deploy end-to-end AI solutions that seamlessly integrate with existing IT infrastructures. Lead cross-disciplinary teams to deliver AI-driven solutions that meet strategic goals. Mentor other team members, promoting best practices for AI development and deployment. Develop high-level designs for data pipelines, model training, deployment strategies, and system integration. Lead the selection and optimization of machine learning models, algorithms, and frameworks (e.g., TensorFlow, PyTorch). Establish monitoring frameworks for deployed AI systems, identifying bottlenecks and implementing improvements to ensure accuracy and reliability. # skills & qualifications: # Educational Background: Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field. In lieu of - qualifications a strong experience in the AI field will be considered. Technical Proficiency: Strong programming skills in Python or R; deep knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure). # experience: Proven experience in designing scalable AI architectures and optimizing model performance. Experience managing large-scale projects with diverse teams. Ideal candidates will have at least three large scale AI projects implementation of going live with multiple POC / PoV. Problem-Solving: Strong critical thinking and problem-solving abilities to tackle complex challenges. Knowledge of industry use cases in AI / ML will be expected. # Communication: Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders. Ethical and Regulatory Knowledge: Familiarity with ethical AI practices and data protection regulations. Specialized Expertise: Expertise in areas such as Generative AI, Agent AI, Deep Learning architectures, NLP models, and computer vision algorithms.

Role Overview: As a Franchise Development Manager, your primary responsibility will be to drive network expansion by defining strategic objectives and developing plans in line with the company's strategic intent. You will identify and explore opportunities, select target markets for network expansion, compile market intelligence, and project manage the finalization of sites. Additionally, you will be involved in securing land parcels for new sites, evaluating real estate options, and managing stakeholder relationships to ensure timely project completion. Your role will also entail developing franchise offers, monitoring the franchise pipeline, and establishing strategic partnerships to enhance the company's market presence. Key Responsibilities: - Define strategic objectives and develop Network Expansion plans aligned with the company's strategic intent. - Identify and explore opportunities, select target markets, and finalize desired stretches for network expansion. - Compile market intelligence and future developments to mitigate risks and create opportunities. - Project manage the finalization of sites for Network Expansion, ensuring quality proposals meeting defined Investment framework. - Conduct a potential assessment of sites for conventional fuels, alternate fuels, and non-fuel value propositions. - Program manage to secure suitable land parcels for new sites and evaluate real estate options from business, statutory, and financial perspectives. - Manage stakeholder relationships and handle site acquisition, lease surrender, and related court cases. - Develop franchise offers, evaluate business models regularly, and manage communication on varied platforms. - Monitor franchise pipeline, generate leads, project manage franchise selection process, and onboard new franchisees. - Identify customer market research needs, build appropriate research briefs, and participate in research and insights gathering. - Project manage and execute offer development projects including pilots to understand effectiveness and modify them as needed. - Build RBML presence in the area to enable future activities and scale up value-generating potential. Qualification Required: - B.E/B.Tech degree - MBA mandatory Additional Details: The ideal candidate should have a minimum of 10 years of work experience in Business Development, with expertise in Strategy, Sales, Channel Management, or Project Management. Role Overview: As a Franchise Development Manager, your primary responsibility will be to drive network expansion by defining strategic objectives and developing plans in line with the company's strategic intent. You will identify and explore opportunities, select target markets for network expansion, compile market intelligence, and project manage the finalization of sites. Additionally, you will be involved in securing land parcels for new sites, evaluating real estate options, and managing stakeholder relationships to ensure timely project completion. Your role will also entail developing franchise offers, monitoring the franchise pipeline, and establishing strategic partnerships to enhance the company's market presence. Key Responsibilities: - Define strategic objectives and develop Network Expansion plans aligned with the company's strategic intent. - Identify and explore opportunities, select target markets, and finalize desired stretches for network expansion. - Compile market intelligence and future developments to mitigate risks and create opportunities. - Project manage the finalization of sites for Network Expansion, ensuring quality proposals meeting defined Investment framework. - Conduct a potential assessment of sites for conventional fuels, alternate fuels, and non-fuel value propositions. - Program manage to secure suitable land parcels for new sites and evaluate real estate options from business, statutory, and financial perspectives. - Manage stakeholder relationships and handle site acquisition, lease surrender, and related court cases. - Develop franchise offers, evaluate business models regularly, and manage communication on varied platforms. - Monitor franchise pipeline, generate leads, project manage franchise selection process, and onboard new franchisees. - Identify customer market research needs, build appropriate research briefs, and participate in research and insights gathering. - Project manage and execute offer development projects including pilots to understand effectiveness and modify them as needed. - Build RBML presence in the area to enable future activities and scale up value-generating potential. Qualification Required: - B.E/B.Tech degree - MBA mandatory Additional Details: The ideal candidate should have a minimum of 10 years of work experience in Business Development, with expertise in Strategy, Sales, Channel Management, or Project Management.

As a Fire Protection System Engineer at Jacobs, you will play a crucial role in leading and overseeing various engineering activities related to fire protection systems. Your responsibilities will include: - Leading the entire Fire protection system Engineering activities, ensuring adherence to standard company procedures. - Preparing Basis of Design, Master Plan, Concept, Schematics, and fire tank and pump room planning. - Providing technical guidance to Designers/Draughts persons for carrying out Fire Protection design work as per project requirements. - Having material specification knowledge for all fire protection items to prepare Bill of Quantities (BOQ). - Conducting cost estimation of fire Package and overseeing procurement activities for fire protection items. - Guiding a team of designers in 2D / 3D engineering, reviewing 3D models, layouts, and MTOs. - Participating in client discussions, ensuring timely completion of designs and engineering deliverables. - Working within company manhours and budgets, meeting client expectations, and maintaining long-term relationships. - Visiting sites for residual engineering and resolving site queries. - Coordinating with various stakeholders for effective engineering management. Qualifications required for this role: - A degree in Mechanical Discipline with a minimum of 10 years of experience in the Fire protection Department of an Engineering consultancy organization specializing in projects in Food or Pharmaceuticals. - Knowledge of carrying out basic and detailed engineering work in Pharmaceutical/Biotech/Food projects/Chemical/Batteries. - Familiarity with design and layouts, standards such as NBC, IS, TAC, NFPA, and FMG requirements. - Proficiency in software tools like Autodesk AutoCAD, Microsoft Office, Autodesk Revit, and AutoCAD-2015. - Compulsory user knowledge of Hydraulic Calculation Software Like Pipe net. - Willingness to undergo training on in-house tools and proprietary software for efficient workflow. In addition to the technical aspects of the role, Jacobs values a balanced work environment that promotes belonging, career growth, and lifestyle satisfaction. Collaboration, knowledge sharing, and innovation are encouraged, with flexible working arrangements to support professional development and well-being. At Jacobs, it's not just about where you work but what you do that matters. The company values in-person interactions and offers a hybrid working policy to empower employees to deliver their best work. If you require any support or reasonable adjustments during the recruitment process, please reach out to the Careers Support team for assistance.,

As a candidate for the role of spearheading the development and deployment of advanced analytics and data-driven solutions across the CBG value chain, your responsibilities will include: - Defining and owning the advanced analytics roadmap, aligning data initiatives with CBG business objectives such as yield maximization, cost reduction, and quality improvement. - Identifying high-impact use cases across feedstock selection, digester performance, purification, bottling, logistics, and sales forecasting. You will also be leading the design, development, and validation of statistical and machine-learning models including predictive maintenance, anomaly detection, yield forecasting, and optimization. Additionally, you will oversee end-to-end analytics workflows such as data ingestion/cleansing, feature engineering, model training, evaluation, and deployment. In this role, you will be required to evaluate, select, and manage analytics platforms and toolchains. You will drive the adoption of automated ML pipelines, MLOps best practices, and scalable data architectures. Collaboration with plant operations, supply chain, and commercial teams will be essential to translate analytical insights into actionable dashboards and reports using tools like Power BI, Tableau, or Grafana. Presenting findings and recommendations to senior leadership in clear business narratives will also be part of your responsibilities. You will mentor and lead a small team of data scientists, analysts, and engineers while fostering a culture of experimentation, continuous learning, and cross-functional collaboration. Establishing data governance standards, model validation protocols, and ensuring compliance with data security, privacy, and regulatory requirements will also fall under your purview. Qualifications required for this position include a B.E. / B.Tech degree and strong proficiency in Python, SQL, ML frameworks (scikit-learn, TensorFlow, PyTorch), and big-data technologies (Spark, Databricks, etc.). Hands-on experience with predictive maintenance, process optimization, time-series forecasting, and anomaly detection is also a key skill set expected from you. As a candidate for the role of spearheading the development and deployment of advanced analytics and data-driven solutions across the CBG value chain, your responsibilities will include: - Defining and owning the advanced analytics roadmap, aligning data initiatives with CBG business objectives such as yield maximization, cost reduction, and quality improvement. - Identifying high-impact use cases across feedstock selection, digester performance, purification, bottling, logistics, and sales forecasting. You will also be leading the design, development, and validation of statistical and machine-learning models including predictive maintenance, anomaly detection, yield forecasting, and optimization. Additionally, you will oversee end-to-end analytics workflows such as data ingestion/cleansing, feature engineering, model training, evaluation, and deployment. In this role, you will be required to evaluate, select, and manage analytics platforms and toolchains. You will drive the adoption of automated ML pipelines, MLOps best practices, and scalable data architectures. Collaboration with plant operations, supply chain, and commercial teams will be essential to translate analytical insights into actionable dashboards and reports using tools like Power BI, Tableau, or Grafana. Presenting findings and recommendations to senior leadership in clear business narratives will also be part of your responsibilities. You will mentor and lead a small team of data scientists, analysts, and engineers while fostering a culture of experimentation, continuous learning, and cross-functional collaboration. Establishing data governance standards, model validation protocols, and ensuring compliance with data security, privacy, and regulatory requirements will also fall under your purview. Qualifications required for this position include a B.E. / B.Tech degree and strong proficiency in Python, SQL, ML frameworks (scikit-learn, TensorFlow, PyTorch), and big-data technologies (Spark, Databricks, etc.). Hands-on experience with predictive maintenance, process optimization, time-series forecasting, and anomaly detection is also a key skill set expected from you.

As the Lead for Advanced Analytics in the CBG sector, you will be responsible for spearheading the development and deployment of data-driven solutions to optimize processes, provide predictive insights, and drive innovation across various operations. Your key responsibilities will include: - Defining and owning the advanced analytics roadmap, aligning data initiatives with CBG business objectives such as yield maximization, cost reduction, and quality improvement. - Identifying high-impact use cases in areas like feedstock selection, digester performance, purification, bottling, logistics, and sales forecasting. You will also lead the design, development, and validation of statistical and machine-learning models for predictive maintenance, anomaly detection, yield forecasting, and optimization. This involves overseeing end-to-end analytics workflows including data ingestion, cleansing, feature engineering, model training, evaluation, and deployment. Additionally, you will be tasked with evaluating, selecting, and managing analytics platforms and toolchains, as well as driving the adoption of automated ML pipelines, MLOps best practices, and scalable data architectures. Collaborating with plant operations, supply chain, and commercial teams, you will translate analytical insights into actionable dashboards and reports using tools like Power BI, Tableau, or Grafana. Presenting findings and recommendations to senior leadership in clear business narratives will be a key aspect of your role. Furthermore, you will mentor and lead a small team of data scientists, analysts, and engineers, fostering a culture of experimentation, continuous learning, and cross-functional collaboration. Establishing data governance standards, model validation protocols, and ensuring compliance with data security, privacy, and regulatory requirements will also fall under your purview. Qualifications required for this role include: - B.E. / B.Tech degree - Strong proficiency in Python, SQL, ML frameworks (scikit-learn, TensorFlow, PyTorch), and big-data technologies (Spark, Databricks, etc.) - Hands-on experience with predictive maintenance, process optimization, time-series forecasting, and anomaly detection.,

Role Overview: As a Well Planning and Design Engineer for CBM (Coalbed Methane) wells, your main responsibility will be to lead the design, planning, and execution support of CBM wells. This includes ensuring technical integrity, cost-efficiency, and regulatory & HSE compliance. Your role will involve driving well delivery from concept to execution readiness, integrating subsurface understanding with drilling and completion technologies tailored for CBM fields. Key Responsibilities: - Lead well planning activities for CBM wells, including vertical, deviated, multilateral, or cluster wells, and provide support for location selection. - Prepare well designs (casing, cementing, well trajectory, mud program) aligned with reservoir and geo-mechanical models. - Develop detailed Basis of Design (BoD), risk registers, and contingency plans. - Design fit-for-purpose and cost-optimized completions for CBM production such as cavitation, open-hole, or fracked completions. - Generate drilling and completion AFE (Authorization for Expenditure) and monitor actual vs budget. - Assist in developing various Scope of Work and technical specifications for Drilling & Well Completion equipment for tender packages. - Select equipment and materials in collaboration with procurement and service vendors. - Evaluate and apply new CBM-relevant technologies like slim-hole, underbalanced drilling, and horizontal CBM. - Provide real-time technical support during drilling, casing, cementing, and completions. - Conduct post-well reviews and implement lessons learned for continuous improvement. - Work closely with subsurface teams for well targeting and zonal optimization. - Ensure compliance with regulatory requirements and submit necessary documentation for permits and approvals. - Lead a team of well engineers, mentor junior staff, and manage interfaces with consultants, contractors, and service providers. Qualification Required: - Bachelor's or Master's degree in Petroleum Engineering, Mechanical Engineering, or a related field. - Over 10 years of upstream oil & gas experience, with at least 3 years specifically in CBM operations. - Proven experience in well design and engineering for low-pressure, unconventional gas wells. - Proficiency in well design software (Landmark, WellPlan, Compass, StressCheck, etc.). - Strong knowledge of CBM reservoir behavior and gas production mechanisms. - Budgeting and AFE preparation skills. - Strong project management and communication skills. Additional Company Details: Omit this section as no additional details of the company are mentioned in the provided job description.,

Job Description: Assistant Manager/Engineer Position Overview We are seeking a highly skilled Assistant Manager/Engineer with strong expertise in CAD/CATIA, clutch and clutch release system design, and GD&T. The ideal candidate will support the complete product lifecycle from concept design to production release while providing technical support and system-level analysis for commercial vehicle applications. Key Responsibilities Design & Development Design and develop clutch systems, clutch release systems, and related components for commercial vehicles. Create detailed 3D and 2D CAD models using CATIA while ensuring adherence to engineering standards. Apply GD&T principles for accurate dimensioning and manufacturing feasibility. System Analysis & Engineering Conduct system-level analysis to ensure clutch performance, durability, and integration with vehicle driveline. Evaluate design concepts, material selection, and functional requirements. Technical Support & Validation Provide technical support to cross-functional teams including testing, manufacturing, and purchasing. Work with suppliers to resolve design issues and ensure manufacturability. Participate in DFMEA, validation planning, and troubleshooting activities. Production Release Prepare and release engineering drawings, BOMs, and documentation required for production. Support the transition from prototype to mass production by collaborating with manufacturing teams. Required Skills & Qualifications Strong proficiency in CAD tools, especially CATIA. Hands-on experience in clutch design and clutch release systems. Good understanding of GD&T, system engineering, and product development processes. Experience working with commercial vehicle applications preferred. Ability to provide effective technical support and perform detailed system analysis. Bachelors in Engineering is required. 

As an experienced AI Data Analyst with 7+ years of professional experience, including leadership in tech projects, you will be responsible for working on cutting-edge AI solutions at a company located in Mahape, Navi Mumbai with a Hybrid Work from Office setup. Your expertise in Python, Machine Learning, AI APIs, and Large Language Models (LLMs) will be essential for this role. **Key Responsibilities:** - Perform data exploration, profiling, and cleaning across large datasets. - Design, implement, and evaluate machine learning and AI models for business problems. - Leverage LLM APIs, foundation models, and vector databases to power AI-driven analysis. - Build end-to-end ML workflows from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to scale AI solutions across business processes. **Required Skills:** **Data Analysis:** - 1+ year of hands-on experience working with real-world datasets. - Strong Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. **Machine Learning & AI:** - 2+ years of experience applying machine learning techniques (classification, regression, clustering, etc.). - 1+ year of hands-on experience with AI technologies, including Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Familiarity with model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. **Programming:** - 3+ years of Python programming experience, with proficiency in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. **Tools & Technologies:** - SQL/PostgreSQL proficiency. - Experience with vector databases (e.g., pgvector, ChromaDB). - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with AWS, SageMaker, or similar cloud platforms. - Version control systems knowledge (e.g., Git), REST APIs, and Linux. **Good to Have:** - Experience with Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. **Soft Skills:** - Strong problem-solving mindset and analytical thinking. - Excellent communication skills, capable of presenting technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment.,

As a Data Scientist at NiCE, you will be part of a dynamic team dedicated to solving complex fraud-related problems using advanced analytics and machine learning techniques. Your role will involve working with large, complex datasets to analyze fraud cases, build predictive models, and enhance existing models to detect and prevent fraudulent transactions effectively. Key Responsibilities: - Analyze fraud cases and identify inconsistencies in large, complex datasets. - Build, validate, and optimize machine learning models for fraud detection and prevention. - Research data patterns to predict fraudulent transactions and improve model performance. - Enhance existing models using advanced computational algorithms and techniques. - Develop compelling visualizations to communicate trends and insights to stakeholders. - Collaborate with cross-functional teams to deliver scalable analytical solutions. - Stay updated with the latest advancements in Data Science and Machine Learning. - Communicate analytical findings clearly to both technical and non-technical audiences. - Advocate technical solutions and support model deployment. - Contribute to innovation forums and knowledge-sharing initiatives across the organization. Qualifications Required: - 2 to 4 years of relevant Data Science experience. - Strong analytical, problem-solving, and communication skills. - Ability to explain complex analytical concepts to non-technical stakeholders. - Experience working in agile, multidisciplinary teams. - Self-driven, collaborative, and committed to delivering high-quality outcomes. Core Skills: - Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields. - Strong knowledge of statistical techniques such as regression, feature selection, time series, etc. - Proficiency in SQL, Excel, and Python (3.7+). - Hands-on experience with ML techniques like clustering, decision trees, boosting, etc. - Experience developing and deploying classification and regression models at enterprise scale. - Understanding of logistic regression and regularization techniques. - Familiarity with MLOps frameworks and containerized environments, with exposure to Kubernetes. - Experience troubleshooting production data and deployed models. - Exposure to cloud platforms, with a preference for AWS or Azure. - Experience with visualization tools and presenting insights clearly. Additional Desired Qualifications: - Experience in fraud analytics, financial crime, or risk management models. - Knowledge of financial systems and data standards. - Experience with containerized model development using Kubernetes. - Exposure to the banking or financial services domain. Join NiCE, a global company where innovation, collaboration, and growth opportunities abound. As a NiCEr, you will work in a fast-paced, creative environment alongside top talent, with endless possibilities for internal career advancement. Embrace NiCE-FLEX, a hybrid work model offering flexibility and fostering teamwork and innovation. Apply now and be part of the NiCE journey!,

As a Platform Software Engineer IV, you will be contributing to the design and development of AI solutions, services, components, and SDKs that will be leveraged as foundational pieces in various products. You should be highly motivated, creative, and passionate about technology, problem-solving, standardization, scalability, and software reliability. If you are self-driven, enjoy teamwork, have a pioneering spirit, and derive satisfaction from helping others succeed, our team welcomes you! Key Responsibilities: - Develop solutions, services, components, and SDKs used globally - Collaborate closely with the team and provide clear and accurate reports to management - Mentor and train less experienced engineers - Make recommendations on architecture, technology selection, and cloud-based services - Troubleshoot, test, and validate software issues with urgency while maintaining comprehensive documentation - Research and learn new technologies to enhance our solutions - Maintain existing legacy .NET MVC solutions - Create reliable, scalable, and maintainable modern solutions efficiently Qualifications Required: - 7+ years of experience in designing and developing modern cloud-based solutions or maintaining existing software applications - 3+ years of experience in .NET, C#, SQL, and related Microsoft stack technologies - 2+ years of experience in Python and related technologies - 2+ years of working knowledge of Azure (AWS or GCP experience is a plus) - Familiarity with Visual Studio or VS Code IDE - Demonstrable analytical and problem-solving skills - Ability to work independently in a high-paced team environment - Strong verbal and written communication skills - Self-motivated with a sense of urgency to deliver high-quality solutions and receive feedback - Enjoys rapidly learning new programming languages and technologies to create innovative solutions Preferred Skills & Experience: - Experience in developing Generative AI solutions using cloud-based services such as Azure Open AI, AWS Bedrock, or GCP Vertex AI, and various AI frameworks - Agentic AI experience - Familiarity with AI development tools and models like Cursor, GitHub Copilot, etc.,

Role Overview: You are being hired as a Data Science Manager at Rockwell Automation. Your main responsibility will be to lead strategic data initiatives, drive advanced analytics solutions, and mentor junior data professionals. You will be based in Balewadi, Pune and report to the Manager, Software Engineering. Your role will involve client engagement & delivery, technical leadership, strategy & innovation, team development, and project & stakeholder management. Key Responsibilities: - Understand client business challenges and propose end-to-end AI/ML/data science solutions. - Lead client-facing engagements, presenting analytical findings and business recommendations. - Translate business requirements into technical deliverables and measurable outcomes. - Architect and develop predictive models, optimization algorithms, and statistical analyses. - Oversee data preparation, feature engineering, model selection, validation, and deployment. - Contribute to the development of analytics strategy and roadmap for enterprise clients. - Identify and drive opportunities for AI/ML adoption across business functions. - Mentor and guide data scientists and analysts on best practices and solution delivery. - Manage timelines, deliverables, and quality for complex analytics projects. - Collaborate with cross-functional teams including business, engineering, IT, and domain expertise. Qualification Required: - Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 12+ years of relevant experience in data science, machine learning, or AI roles. - Strong foundation in statistics, ML algorithms, NLP, deep learning, or operations research. - Hands-on expertise with Python (scikit-learn, pandas, numpy), R, SQL, and data visualization tools. - Experience working with big data frameworks like Spark, Hadoop, or cloud-native tools. - Proficiency in deploying models into production environments (MLOps is recommended). - Experience in solving complex business problems with data. Additional Details: Rockwell Automation is a global technology leader that aims to help manufacturers be more productive, sustainable, and agile. With a diverse workforce that is dedicated to making the world a better place, the company values problem solvers who take pride in the positive impact of their work. Rockwell Automation offers comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, and other local benefits to its employees. (Note: The information regarding the company's benefits and policies has been included for your reference.),

Role Overview: As an Engineer - Mechanical Product Design, you will have an opportunity to work on product components and assembly design projects related to Flow Control Instruments mounting solutions. Your main responsibility will be to execute product design and development activities to achieve the management and financial goals of the Strategic Business Units. You will report to the Technical Lead Product Design. Key Responsibilities: - Create detailed 3D CAD models of mechanical components and assemblies for Instruments mounting solutions using tools like SolidWorks. - Ensure that designs meet functional, manufacturability, and cost requirements. - Generate accurate 2D drawings with GD&T, tolerances, and material specifications for manufacturing and quality control. - Maintain drawing revisions and ensure documentation is up to date and aligned with project milestones. - Collaborate with cross-functional teams to support prototype development, including 3D printing, machining, and assembly. - Incorporate feedback from prototype testing into design iterations. - Create and manage Bills of Materials (BOMs) in Oracle, ensuring proper part numbering, version control, and data integrity. - Participate in design reviews and quality checks of deliverables. - Work closely with mechanical engineers to ensure seamless integration of components. - Ensure that mechanical designs comply with relevant industry standards (e.g., ISO, ASME) and internal design guidelines and standards. - Identify opportunities for design optimization, cost reduction, and improved manufacturability. - Stay updated with the latest CAD tools, design practices, and relevant materials. Qualifications Required: - Engineering Degree in Mechanical Engineering. - Minimum 3+ years of experience in design and development of Mechanical Product design of Instrument mounting solutions used in Industry applications. - Sound knowledge of Industry equipment, Instruments, and Global Standards. - Sound knowledge of CAD and PDM software (SolidWorks preferred). - Good understanding of Mechanical Component Design and Development (Casting/Molding/Sheetmetal). - Understanding of GD&T, international standards like ISO, ASME, ANSI would be an added advantage. - Proficient in MS office tools. - Better understanding of Materials and selection based on application requirements. Additional Details of the Company (if present in JD): At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.,

You will work with a team responsible for response and management of cyber incidents, utilizing an intelligence-led approach to identify, mitigate, and rapidly respond to safeguard bp on a global scale. By applying lessons learned and data analytics, the team establishes engineering principles and enhances the technology stack to continuously strengthen bp's cybersecurity posture. - Team: You will have a direct impact on the design of security products and services, ensuring the security posture of strategic security platforms within BP. You will lead and actively participate in these efforts, embodying a culture that values exploration, critical thinking, and proactive action. - Architecture: You will define and guide the counter-threat and engineering security architecture, make informed vendor selections aligning with long-term strategic objectives, and establish architectural standards and common patterns for applications and platforms. - Relationships: Understanding business needs, you will build positive relationships within and outside of BP, focusing on different parts of businesses, developer communities, and key technology ecosystems. - Technology: You will bring hands-on skills in architecting, designing, and building security applications and services, assessing new technologies with a commercial mindset. - Safety and Compliance: Advocating for safety, you will ensure architecture, designs, and processes enhance operational safety and improve digital security culture. - Extensive experience in creating security strategies, architecture roadmaps, and capability models for global multi-vendor, multi-product security solutions, including cloud and hybrid environments. - Experience in conducting security assessments, leading architecture governance for security applications, data, and cloud services in complex environments. - Comprehensive understanding of cyber security frameworks, risk, compliance, and security practices. - Proficiency in conveying complex technical concepts in clear language suitable for all organizational levels. - Plus: Preferred degree or equivalent experience in computer science or engineering, certifications like CISSP, CISM, CISA, or TOGAF are desirable, exposure to adjacent domains such as enterprise architecture, cloud security, and security engineering. Bp is a global energy business with a purpose to reimagine energy for people and the planet, committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and be part of the team building our future!,

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for solving problems and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution that may impact model performance in real-world deployment - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize available datasets for training - Define validation strategies, pre-processing, and feature engineering for datasets - Define data augmentation pipelines - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them - Deploy models to production **Desired Candidate Profile:** - Sound understanding of ML and DL algorithms - Architecture-level understanding of CNN and RNN algorithms - Experience with NLP data models and libraries - Good understanding of entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries, etc. - Knowledge of transfer learning - Strong scripting and programming skills in Python and Streamlight - Experience with data science toolkits such as Python, NumPy, Transformers, Fast.AI, etc. - Excellent understanding of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, Decision Forests, etc. - Proficiency in using query languages - Strong applied statistics skills including distributions, statistical testing, regression, etc. - Data-oriented personality with experience in Data Wrangling and Data Exploration - Experience with Tableau and DataPrep is a plus If you are an immediate joiner with the required expertise, there is no bar on salary for the right candidate.,

As an Analyst - Financial Planning & Analysis with focus on FP&A at Nasdaq Technology in Mumbai, India, you will be part of the Financial Technology Revenue Finance team. Your role will involve supporting the organization with financial follow-up, business planning, and business control by providing knowledge, models, and tools. You will collaborate with colleagues in Mumbai and other countries to fulfill the following responsibilities: - Support the monthly accounting close process, budgeting, and forecasting to assist executive management in decision-making. - Reconcile FinTech Subscription Revenue according to ASC 606, providing detailed explanations on variances and supervising reports with bridges. - Handle FinTech Annual Recurring Revenue across various product lines with contract analysis. - Own the monthly Forecast and Long-Range Planning processes to align with strategic objectives and operational goals. - Collaborate with business partners across regions to understand progress, risks, and opportunities. - Utilize financial software and AI tools to streamline reporting and processes. Qualifications we expect you to have: - 1 to 3 years of experience in financial planning & analysis. - Accountancy qualification with post-qualification experience, strong financial knowledge, and understanding of revenue activities. - Proficiency in Microsoft Excel, BI tools, and other IT tools for Business and Financial Control/models. - Excellent written and spoken English language skills. - University degree in finance, accounting, or business administration. If the above responsibilities and qualifications resonate with you, please submit your application in English as soon as possible, as the selection process is ongoing. Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services with over 4,000 total listings and a market value of approximately $12 trillion. Visit business.nasdaq.com to learn more about our business and check out more about Life at Nasdaq. If you require accommodations for the job application or interview process, please contact us to request assistance.,

As a Mechanical Engineer at Emerson, your primary responsibility will be the end-to-end design and development of new instruments. This will involve creating detailed 3D CAD models, generating accurate 2D drawings, collaborating with cross-functional teams, managing Bills of Materials (BOMs), and ensuring compliance with industry standards. Your proactive nature, adaptability to new situations, and effective communication skills will play a vital role in efficiently completing assigned tasks. Key Responsibilities: - Involved in end-to-end design and development of new instruments, from concept generation to prototyping and validation. - Create detailed 3D CAD models of mechanical components and assemblies using tools like SolidWorks. - Ensure designs meet functional, manufacturability, and cost requirements. - Generate accurate 2D drawings with GD&T, tolerances, and material specifications for manufacturing and quality control. - Collaborate with cross-functional teams to support prototype development and incorporate feedback from testing into design iterations. - Create and manage Bills of Materials (BOMs) in Oracle, ensuring proper part numbering, version control, and data integrity. - Participate in design reviews, DFMEA sessions, and brainstorming meetings with the NPD team. - Ensure mechanical designs comply with relevant industry standards and internal design guidelines. - Identify opportunities for design optimization, cost reduction, and improved manufacturability. - Stay updated with the latest CAD tools, design practices, and materials relevant to instruments. Qualifications Required: - Engineering Degree in Mechanical Engineering. - Minimum 3+ years of experience in design and development of housing design of instrument products used in industry applications. - Sound knowledge of industry equipment, instruments, and global standards. - Proficiency in CAD and PDM software, with SolidWorks preferred. - Good understanding of mechanical component design and development, including casting, moulding, and sheet metal. - Knowledge of GD&T and international standards like ASME; understanding of PED would be an added advantage. - Proficient in MS Office tools. - Better understanding of materials and selection based on application requirements. Emerson prioritizes a workplace where every employee is valued, respected, and empowered to grow. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Continuous career development and an inclusive culture ensure employee support for success. Competitive benefits plans, medical insurance, Employee Assistance Program, flexible time off, and other employee-focused initiatives are part of Emerson's commitment to employee wellbeing. Emerson, as a global leader in automation technology and software, helps customers in critical industries operate sustainably and improve productivity. The company values diversity, celebrates challenges, and offers opportunities for career growth and impact across various countries and industries. If you have a disability and need assistance applying for a position at Emerson, contact: idisability.administrator@emerson.com. No calls or agencies are accepted.,

As a Design Engineer specializing in plastic Injection Parts (IP) at APPL Global InfoTech, your role involves creating innovative and efficient designs for plastic components using your expertise in UGNX software. Your responsibilities will include: - Developing innovative design concepts for plastic IP components based on market trends, customer needs, and technical specifications. - Creating detailed 3D models of plastic IP components, ensuring accuracy and precision. - Continuously refining designs to improve functionality, reduce costs, and enhance aesthetics. - Selecting appropriate plastic materials for IP components based on factors such as strength, durability, and appearance. - Collaborating with mold designers to ensure manufacturability and optimize the molding process. - Conducting tolerance analysis to ensure achievable design tolerances meet functional requirements. - Assisting in the development and testing of prototypes to verify design performance. - Maintaining detailed documentation of design processes, including design files, calculations, and test results. - Ensuring that designs comply with relevant industry standards, regulations, and quality requirements. Qualifications Required: - Bachelor's degree in Mechanical Engineering or a related field. - 4+ years of experience in plastic IP design. - Proficiency in UGNX software for 3D modeling and design. - Strong understanding of plastic materials, properties, and manufacturing processes. - Knowledge of design for manufacturing (DFM) principles. - Excellent problem-solving and analytical skills. - Ability to work independently and as part of a team. - Strong communication and interpersonal skills. - Attention to detail and a commitment to quality.,

As a VMC Programmer at our company, your expertise in VMC programming and setting will be crucial in our operations. Your responsibilities will include: - **VMC Programming and Setting:** Developing and implementing CNC programs for Vertical Machining Centres (VMCs) to produce complex components. Setting up and calibrating VMC machines as per part drawings. - **Operations Programming:** Programming and executing operations such as drilling, tapping, boring, reaming, interpolation turning, milling, and slotting. - **Software Proficiency:** Utilizing Power Mill 2016 and 2017 software for programming and simulation. - **Technical Drawing Interpretation:** Understanding and creating models from technical drawings. - **Tool Selection:** Selecting appropriate cutting tools based on material specifications. - **Quality Control:** Maintaining records of quality inspections and ensuring adherence to quality standards. - **Production Management:** Operating machines to meet cycle times while ensuring quality requirements are met. - **First Piece Approval:** Conducting first-piece inspections and completing production reports as required. - **Housekeeping:** Maintaining 5S standards and ensuring cleanliness around the machine area. - **Safety Compliance:** Following all company safety protocols. Your skills should include proficiency in: - **CNC Programming Expertise:** Developing and optimizing CNC programs for VMCs. - **G-code and M-code Proficiency:** Ability to write and interpret G-code and M-code for machine operations. - **Blueprint Interpretation:** Reading and understanding technical drawings and blueprints. - **Quality Control Techniques:** Experience in conducting inspections and ensuring adherence to quality standards. - **Machining Techniques:** Knowledge of various machining operations and techniques. - **Problem-Solving:** Strong analytical skills to troubleshoot and resolve machining issues. - **Adaptability:** Ability to learn new technologies and adapt to changing work processes. - **Teamwork:** Collaborative skills to work effectively with colleagues and other departments. This is a full-time, permanent position with benefits including health insurance and provident fund. The work schedule is during day shifts with performance bonuses and yearly bonuses. Your experience with VMC programming, Mitsubishi and Fanuc controls, and Power Mill 2016 and 2017 software will be highly valued in this role. The work location is in person at Talwade, Pune.,

As a Piping Discipline Lead, you will be responsible for overseeing the piping discipline in various project phases including proposal, detailed design, and construction. Your key responsibilities will include: - Leading the piping discipline, planning, assigning, and managing piping engineering and design activities across multiple projects. - Ensuring compliance with relevant codes and standards such as ASME, API, and ANSI, as well as client requirements. - Demonstrating technical knowledge in areas such as Piping and Instrumentation Diagrams (P&IDs), pipe routing and layout models (2D/3D), pipe stress analysis, isometric drawings, material take-offs (MTOs), line lists, and valve data sheets. - Supervising pipe material selection, specifications, and providing procurement support. - Collaborating with various teams including Mechanical, Civil, Process, Structural, Project, and Procurement teams, as well as interfacing with clients, vendors, and construction teams to resolve technical issues. - Mentoring and developing piping engineers and designers within the team. - Monitoring discipline progress, productivity, and quality, and reporting updates to the project manager to ensure adherence to man-hours, schedules, and quality standards. - Utilizing piping design tools such as AutoCAD, SmartPlant, PDMS, Caesar II, E3D, and Navisworks, and conducting model reviews with clients. Your qualification should include a BE/ME Degree in Mechanical Engineering.,