1 Model Selection Jobs nearby Sonipat

As a Graduate Design Engineer specializing in NX (Siemens NX / UG NX), your role involves designing, developing, and refining mechanical, product, or machine components using NX CAD software. Your responsibilities include creating 3D models, 2D drawings, participating in design reviews, supporting prototyping & testing, and collaborating with other teams to ensure designs meet required specifications and standards. Key Responsibilities: - Develop, modify, and maintain 3D CAD models and assemblies using NX software. - Prepare detailed 2D drawings with dimensions, tolerances, and annotations for manufacturing. - Apply GD&T principles to ensure fit, function, and clearances. - Support product lifecycle documentation, revision control, and design changes. - Collaborate with cross-functional teams such as manufacturing, quality assurance, and prototyping. - Assist in material and manufacturing process selection. - Help in prototyping, testing of parts and assemblies, and analyze issues. - Ensure compliance with design standards, safety, quality, and regulatory requirements. - Maintain documentation including drawings, BOMs, design calculations, and change logs. - Continuously learn and stay updated on NX tool capabilities, best practices, and design/engineering trends. Qualifications & Skills: - Bachelors degree in Mechanical Engineering, Production Engineering, Design Engineering, or related field. - Good academic record with basic to intermediate proficiency in NX CAD. - Knowledge of 2D technical drawing, manufacturing processes, and good visualization skills. - Strong communication skills and ability to work in a team. - Proficiency in engineering software, especially NX; familiarity with PLM tools like Teamcenter is a plus. Please note that the job type for this position is full-time, and the work location is in person.,

As an experienced engineer, you will be responsible for leading the design, development, and deployment of ZincGel battery energy storage systems (BESS). Your role will involve end-to-end expertise, from cell-level design to integration, field deployment, and lifecycle management. You will drive system architecture, collaborate with subsystem providers, and ensure robust performance in both low-voltage and high-voltage applications. Key Responsibilities: - Lead the full-stack design of ESS, including pack design, enclosure, safety systems, and field deployment. - Architect both low-voltage (LV) and high-voltage (HV) battery systems for stationary applications. - Define and validate specifications for battery packs, power electronics, protection systems, and communication interfaces. - Evaluate and select subsystem providers ensuring interoperability and reliability. - Develop and validate models and algorithms for State of Health (SoH) and State of Charge (SoC) determination. - Lead prototyping, testing, and certification of systems to meet safety and performance standards. - Collaborate with manufacturing and field teams for seamless scaling, deployment, and maintenance. - Stay updated with the latest trends in cell chemistries, power electronics, and ESS integration. Qualifications & Skills: - Bachelor's, Master's, or PhD degree in Electrical Engineering, Power Electronics, Energy Systems, or related field. - 7+ years of hands-on experience in designing and deploying ESS from cell to system level. - Strong expertise in system engineering, BMS/EMS integration, protection strategies, and communication protocols. - Practical knowledge of inverter integration, grid interconnection requirements, and thermal management systems. - Solid grasp of battery modeling, SoC/SoH estimation methods, and performance testing. - Demonstrated ability to source and manage third-party subsystem providers. - Familiarity with safety, compliance, and certification standards for ESS. - Strong problem-solving, system-level thinking, and hands-on prototyping skills. Preferred: - Experience with renewable integration, microgrids. - Exposure to zinc-based, flow batteries, or alternative chemistries beyond Li-ion. - Track record of taking products from R&D to field deployment at scale. Please note that the selection process involves shortlisting candidates for further screening tests and assignments followed by an interaction. Thank you for considering this opportunity.,

As a Program Manager for Hyperlocal Fulfillment at Prozos, your role will be crucial in enhancing and expanding the Hyperlocal Fulfillment vertical. You will be involved in strategic planning, pilot execution, supply network development, unit economics modeling, and coordinating with various teams. **Key Responsibilities:** - **Strategy & Business Design:** - Refine and institutionalize the business model for Hyperlocal Fulfillment including Same Day, Next Day, 2-Hour, and sub-same day Delivery. - Evaluate different delivery configurations such as FC, Dark Store, and Last Mile to identify scalable and cost-efficient models. - **Pilot Execution & Program Governance:** - Lead ongoing and upcoming pilots with structured planning, governance, and documentation. - Monitor performance metrics like cost per shipment, SLA adherence, and inventory turns to drive informed decisions for scale-up. - **Supply Network Enablement:** - Support in identifying and onboarding urban fulfillment nodes, dark stores, last-mile delivery partners, and mid-mile transportation providers. - Define engagement models, SLAs, and rate structures to enhance supply chain efficiency. - **Operationalization & Cross-Functional Integration:** - Collaborate with various teams to design and implement processes and system flows efficiently. - Contribute to creating SOPs for order lifecycle management, dispatch logic, and picker-packer workflows. - **Financial & Commercial Planning:** - Conduct detailed cost and unit economics analysis to optimize pricing, service design, and operational efficiency. - Develop scalable models for delivery cost optimization and city-level profitability. - **Scale-Up Planning:** - Translate pilot learnings into structured expansion playbooks in collaboration with the Business Lead. - Design frameworks for network design, inventory placement, and partner selection, and support client onboarding and Go-To-Market planning. - **Executive Reporting & Presentation Support:** - Assist in preparing executive-ready materials for board meetings and internal strategy meets. - Synthesize insights into actionable visual reports for senior leadership. **Qualifications:** - **Educational Background:** Bachelor's or Master's degree in Engineering, Operations, Business, or related field. - **Experience:** 4-8 years in program management, supply chain, or strategy roles with exposure to Hyperlocal, SDD/NDD, or dark store-based fulfillment models. **Skills:** - Strong analytical and problem-solving skills. - Structured program execution capabilities. - Excellent cross-functional and stakeholder management skills. - Proficiency in Google Sheets/Excel; familiarity with SQL or BI tools is a plus. - Ability to collaborate with tech/product teams to enhance system workflows.,

Role Overview: You will be working as a Generative AI Engineer at Straive. Your primary responsibility will be to design, develop, and deploy AI-powered solutions utilizing large language models (LLMs), vector databases, and cloud-based infrastructure. Your role will involve building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications. Key Responsibilities: - Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex. - Design and implement RAG pipelines using vector databases such as Azure Cognitive Search, Pinecone, FAISS, or Weaviate. - Build chatbots, copilots, and content generation tools utilizing OpenAI, Azure OpenAI, or Hugging Face models. - Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions. - Collaborate with cross-functional teams to identify and operationalize GenAI use cases. - Implement monitoring, evaluation, and prompt optimization workflows. - Manage prompt engineering, model selection, and performance tracking in production. Qualifications: - Work Experience: 1-7 Years (At least 1 year or more in AI Engineering) - Location: Gurgaon/Noida/Bengaluru/Hyderabad/Chennai - Work Mode: Hybrid - Notice Period: 30 days maximum,

You will be working as a Generative AI Engineer at Straive, a trusted leader in building enterprise data and AI solutions for global brands. Your role will involve designing, developing, and deploying AI-powered solutions using large language models (LLMs), vector databases, and cloud-based infrastructure. Specifically, you will focus on building and fine-tuning generative AI models, developing retrieval-augmented generation (RAG) systems, and integrating GenAI capabilities into scalable applications. **Key Responsibilities:** - Develop, fine-tune, and deploy LLM-based applications using frameworks like LangChain, Semantic Kernel, or LlamaIndex. - Design and implement RAG pipelines using vector databases such as Azure Cognitive Search, Pinecone, FAISS, Weaviate. - Build chatbots, copilots, and content generation tools using OpenAI, Azure OpenAI, or Hugging Face models. - Containerize and deploy GenAI services using Docker, FastAPI, and Azure Functions. - Collaborate with cross-functional teams to identify and operationalize GenAI use cases. - Implement monitoring, evaluation, and prompt optimization workflows. - Manage prompt engineering, model selection, and performance tracking in production. **Qualifications:** - Work Experience: 1-7 Years (At least 1 year or more in AI Engineering) - Location: Gurgaon/Noida/Bengaluru/Hyderabad/Chennai - Work Mode: Hybrid - Notice Period: 30 days maximum (Note: Additional details about the company were not provided in the job description.),

As an MEP Cost Estimator, you will be responsible for delivering precise cost estimates for mechanical, electrical, and plumbing systems in construction projects. Your tasks will include analysing project requirements, reviewing drawings and specifications, and collaborating closely with engineers, architects, and project managers to create comprehensive cost projections. Additionally, you will oversee the bidding process, review contracts, and ensure that all project estimates adhere to company standards and budgetary constraints. Key Responsibilities: - Analyse the scope of proposed Mechanical, Electrical & Plumbing projects to create detailed cost estimates. - Review project plans and specifications to acquire competitive pricing for the entire scope of work. - Prepare master budgets and cost models for projects. - Collaborate with contractors, subcontractors, and vendors to obtain appropriate estimates. - Review and evaluate Change Order Requests. - Estimate project costs related to MEP Systems. - Evaluate construction project costs for project selection and assess the complexity of each project. Qualifications Required: - 6 months of experience in construction estimating. - Bachelor's Degree in Accounting, Applied Science, Civil Engineering, or a related field. - Ability to read architectural plans and develop cost estimates. - Strong understanding of residential and commercial construction processes. - Proficiency with MS Word and Excel. - Ability to multitask and meet strict deadlines. - Impeccable problem-solving skills. In addition to the responsibilities and qualifications mentioned above, you will benefit from: - Competitive work benefits and outstanding career growth opportunities. - Health insurance and accidental insurance. - 5 days working with Saturday and Sunday fixed off. - Cab pickup and drop for Gurgaon & South Delhi locations. - Sabbatical leaves. - Gratuity. Please note that the role is for a Billing / Planning Engineer in the Advertising & Marketing industry under the Construction & Site Engineering department. This is a full-time, permanent position with benefits including a flexible schedule, health insurance, life insurance, provident fund, and performance bonuses. The work location is in person with options for evening shift, fixed shift, Monday to Friday, night shift, and US shift.,

As an intern, your day-to-day responsibilities will include: - Researching, identifying, and understanding business requirements to identify opportunities for applying predictive modeling and machine learning techniques - Collaborating with cross-functional teams, including data scientists, software engineers, and domain experts, to define project objectives and requirements - Designing and implementing predictive modeling and machine learning solutions, including data preprocessing, feature engineering, and model selection - Developing and deploying predictive software applications into production, leveraging Python (or similar scripting languages) for efficient development - Demonstrating expertise in training and fine-tuning LLMs on diverse datasets, ensuring superior performance, and adapting models for specific applications and domains - Working with cloud-native solutions on platforms such as AWS, GCP, or Azure for scalability and flexibility - Applying a range of machine learning algorithms for different tasks, including classification (SVM, decision tree, random forest, neural network), regression (linear, polynomial, logistic, etc), and graph theory (network analytics) - Utilizing classical optimization techniques such as gradient descent and others for model optimization and parameter tuning - Utilizing deep learning techniques, including LSTM, convolutional neural networks (CNN), and recurrent neural networks (RNN), for tasks such as natural language processing, image recognition, or time series analysis - Experience with training ML models using Pytorch or tensorflow The company delivers business growth by providing AI-powered data enrichment and is currently working in stealth mode.,

Role Overview: As a Cost Estimator at Smiths Detection, you will be responsible for producing cost estimates for components and assemblies within the Smiths portfolio using the relevant software system. You will also contribute to benchmark market data, analyze cost breakdown data, and support supplier selection through best price source analysis. Additionally, you will play a key role in facilitating Cost Reduction Workshops and supporting NPI projects to ensure cost-optimized designs are delivered to the supply chain. Key Responsibilities: - Produce cost estimates for components and assemblies using the aPriori software system - Contribute to benchmark market data and ensure its accuracy and relevance - Analyze Cost Breakdown data to identify price negotiation opportunities and design improvements - Support NPI projects by suggesting manufacturing best practices - Facilitate Cost Reduction Workshops as required - Work with buyers and external suppliers to obtain Supplier Cost Breakdown data and ensure accuracy - Support supplier selection through best price source analysis Qualifications Required: - Strong knowledge of manufacturing processes used within Smiths Supply Chain - Good understanding of how Product Cost Structures are calculated and presented - Familiarity with Cost Estimation software/tools including aPriori - Ability to read and interpret Engineering Drawings and Specifications - Proficiency in manipulating and interpreting 3D Solid CAD Models - Strong numeracy and analytical skills to interpret supplier data and identify opportunities - Excellent proficiency in MS Excel Additional Details: Smiths Detection, part of Smiths Group, is a global leader in security and detection solutions with a network of 3,000 dedicated colleagues contributing towards over 40 years of experience in safety and security. The company offers excellent training, opportunities for career growth, and a wide range of benefits to support your lifestyle. Join the team at Smiths Detection and be part of making the world a safer place.,

As the Vice President (VP) of Global IT Infrastructure & Managed Services, you will play a crucial role in orchestrating seamless global service delivery and transforming IT operations through innovation and cutting-edge technologies. Your responsibilities will include defining and executing strategic roadmaps, overseeing global service delivery, managing technology and infrastructure, leading managed enterprise applications (ERP), ensuring governance, risk & compliance (GRC), delivering managed security services, engaging with clients, and managing financial and vendor aspects. Key Responsibilities: - Define and execute the strategic roadmap for global IT infrastructure, enterprise applications, and security services. - Lead digital transformation initiatives across enterprise operations, ensuring alignment with business goals. - Build and evolve a scalable IT operating model for client delivery. - Oversee Global Service Desk Operations, ensuring high-quality, responsive support to clients and end users. - Manage global IT service delivery across systems, networks, and cloud computing environments. - Drive operational excellence through process optimization, automation, and innovation. - Lead infrastructure modernization efforts including cloud migration, data center transformation, and network optimization. - Ensure high availability, performance, and security of IT systems and services. - Oversee delivery and support of ERP platforms across client environments. - Ensure seamless integration, customization, and performance of enterprise applications. - Establish and maintain robust IT governance frameworks. - Ensure compliance with global regulatory standards and cybersecurity protocols. - Mitigate risks through proactive monitoring and incident response strategies. - Lead the development and delivery of SOC services, including threat detection, incident response, and continuous monitoring. - Provide CISO-as-a-Service to clients, offering strategic guidance on cybersecurity posture, compliance, and risk management. - Collaborate with clients to understand business needs and deliver tailored IT solutions. - Drive product development initiatives that enhance service offerings and client value. - Develop and manage IT budgets, ensuring cost-effective operations. - Lead vendor selection, negotiation, and performance management. - Optimize sourcing strategies and vendor partnerships. Core Competencies: - Cloud Computing (AWS, Azur) - Infrastructure & Network Operations - Managed Enterprise Applications (ERP) - Managed Security Services (SOC, CISO) - IT Strategy & Service Delivery - Cybersecurity & Risk Management - Data Center Operations - Program & Project Management - IT Budgeting & Financial Planning - Vendor & Contract Management - Governance, Compliance & Control (GRC) - Product Development & Innovation Qualifications: - Bachelors or Masters degree in Computer Science, Information Technology, or related field. - 15+ years of progressive experience in IT infrastructure and managed services. - Proven track record of leading global IT operations and digital transformation initiatives. - Strong leadership, communication, and stakeholder management skills. - Certifications such as ITIL, PMP, CISSP, or cloud platform certifications are a plus. Ideal Candidate Profile: You are a visionary IT leader with a passion for innovation and excellence in service delivery. A strategic thinker and change agent, you thrive in complex, fast-paced environments. With a deep understanding of technology and business, you are committed to driving transformation and delivering measurable value to clients.,

Role Overview: As the Head of Operations for the DLF Commercial Portfolio, your main responsibility is to oversee the daily property operations. You will manage facility and support services for the site premises, ensuring that all amenities are maintained to industry standards. Your role involves training, organizing, and supervising assigned employees and contractors. You need to adapt quickly to changing business needs and technology, performing a wide variety of tasks accurately and efficiently, even under time-sensitive deadlines and emergency situations. Key Responsibilities: - Ensure professional and proactive management of facility and support services - Train, assign, organize, prioritize, motivate, supervise, and evaluate assigned employees and contractors - Collaborate and manage all aspects of operations including technical, soft services, HR compliance, management & sourcing of materials, and commercial matters - Work closely with senior leadership from both the business line and client side - Align with the client's property management needs for seamless communication and adaptation of processes and standards - Develop the team by acting as a role model, inspiration, and coach - Present an objective view of the client's property and provide an overall strategy - Take charge of day-to-day operations, vendor selection, and contract negotiation - Look for opportunities to improve organizational efficiency and prosperity Qualifications Required: - Degree/Diploma with relevant educational background in Building Management Industry - 10-15 years of management experience - Strong interpersonal and communication skills - Thorough knowledge of computers and software applications - Positive mindset, can-do attitude, proactive nature, and ability to identify risks - Team player with a collaborative mindset and ability to initiate new processes - Great communicator with high emotional intelligence,

As a senior analyst, your primary responsibility will be to provide technical expertise to the team. You are expected to be an expert in all phases of model development, including EDA, Hypothesis, Feature creation, Dimension reduction, Data set clean-up, Training models, Model selection, Validation, and Deployment. Additionally, you will participate in and lead discussions during the solution design phase. It is essential for you to have a deep understanding of statistical & machine learning methods such as logistic regression, SVM, decision tree, random forest, neural network, Regression (linear regression, decision tree, random forest, neural network), Classical optimization (gradient descent, etc). You must possess thorough mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and how to implement them to a business problem. Furthermore, you are expected to gain business understanding in the healthcare domain to come up with relevant analytics use cases, for example, HEOR / RWE / Survival modelling. Familiarity with NLP, Sentiment analysis, text mining, and data scraping solutions will be beneficial. Experience with complex dashboarding and visualization using tools like tableau, Power BI, etc., is also required. Key Responsibilities: - Provide technical expertise to the team - Expert in all phases of model development - Participate and lead discussions during the solution design phase - Deep understanding of statistical & machine learning methods - Thorough mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP - Gain business understanding in the healthcare domain - Familiarity with NLP, Sentiment analysis, text mining, data scraping solutions - Experience with complex dashboarding and visualization tools like Tableau, Power BI Qualifications Required: - 3-5 years of industry experience in developing data science models and solutions - Quick to pick up new programming languages, technologies, and frameworks - Strong understanding of data structures and algorithms - Ability to work in a start-up environment with a do-it-yourself attitude - Expert level proficiency in programming language Python/SQL - Working knowledge of Relational SQL and NoSQL databases, including Postgres, Redshift - Exposure to open source tools & working on cloud platforms like AWS and Azure - Exposure to big data processing technologies like Pyspark, SparkSQL - Exposure to AI tools LLM models Llama (ChatGPT, Bard) and prompt engineering - Exposure to visualization tools like Tableau, PowerBI If you do not meet every job requirement, the company encourages a diverse and inclusive workplace. So, if you are excited about the role, even if your experience doesn't perfectly fit every qualification, you are encouraged to apply as you may be just the right person for this role or others.,

As a highly analytical and detail-oriented Freight Analyst, your role is to optimize logistics and freight operations by leveraging data analytics, Excel, Power BI, Tableau, and machine learning. Your responsibilities include maintaining and circulating comprehensive Freight Management Information System (MIS) reports, managing a centralized repository of all freight-related data, and identifying key insights through data analysis to drive process improvements and cost optimization. Key Responsibilities: - Analyze freight costs, route efficiency, carrier performance, and shipment trends to optimize logistics operations. - Develop predictive models using machine learning to forecast freight costs and demand fluctuations. - Monitor freight rates, tariffs, and fuel costs to identify cost-saving opportunities. - Optimize lane selection, route planning, and shipment scheduling based on data insights. - Use Excel, Power BI, and Tableau to create dashboards and reports for freight performance tracking. - Manage and analyze large datasets related to transportation, warehousing, and supplier logistics. - Implement data-driven decision-making to improve freight and supply chain efficiency. - Work closely with logistics teams, carriers, and warehouse managers to streamline operations. - Provide insights to procurement, supply chain, and finance teams for cost-effective shipping strategies. - Identify inefficiencies in the supply chain and recommend process automation. - Implement AI-driven predictive analytics to enhance freight planning. - Utilize machine learning models for route optimization and demand forecasting. - Develop tools and algorithms to improve freight cost modeling and risk assessment. Qualification Required: - Bachelor's degree with 5+ years of experience in Logistics, Supply Chain, Data Science, Business Analytics, or a related field. - Advanced Excel skills (Pivot Tables, Macros, Power Query). - Expertise in Power BI, Tableau, and other data visualization tools. - Experience with SQL, Python, or R for data analysis is a plus. - Strong knowledge of transportation management systems (TMS) and freight cost structures. - Understanding of machine learning concepts and their application in logistics. - Excellent problem-solving skills and ability to interpret complex data.,

Role Overview: As a Valve Designer with Metaval Industries, you will be responsible for designing and developing a wide range of industrial valves such as Gate, Globe, Check, Ball, Butterfly, and Pressure Seal valves in compliance with international standards such as API, ASME, and ISO. Your main responsibilities will include creating detailed 3D models and engineering drawings using CAD software, collaborating with R&D and manufacturing teams to optimize designs, performing design calculations and material selection for challenging environments, reviewing client specifications for customized solutions, validating designs through testing, and maintaining comprehensive design documentation. Additionally, you will participate in design reviews, continuous improvement initiatives, and innovation projects. Key Responsibilities: - Design and develop various industrial valves according to international standards. - Create detailed 3D models and engineering drawings using CAD software like SolidWorks, AutoCAD, or similar tools. - Collaborate with R&D and manufacturing teams to optimize designs for manufacturability and performance. - Perform design calculations, tolerance analysis, and material selection for different environments. - Interpret client specifications and project requirements to deliver customized valve solutions. - Support quality and testing teams in validating designs through simulations and physical tests. - Maintain comprehensive design documentation including Bill of Materials (BOM) and technical specifications. - Participate in design reviews, continuous improvement initiatives, and product innovation projects. Qualifications Required: - Minimum 2 years of experience in valve design or manufacturing industry. - Proficiency in CAD software like SolidWorks, AutoCAD, or Creo. - Strong understanding of fluid mechanics, stress analysis, and material science. - Knowledge of industry standards (API, ASME, ISO) and valve testing procedures. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities.,

As a Reserving Actuary at our company, you will work closely with teams to support Group Reserve Reviews, provide regional reserving assistance to businesses, handle Solvency II technical provisions at RSA Group and regional levels, manage reserving models and model selection, conduct large loss/Propensity Modeling, perform Trend projections, collaborate with reserving actuaries throughout the Group, prepare reserving data and databases, and enhance reserving analyses. You will have the opportunity to interact with experts globally and learn from some of the most brilliant minds in the industry. - Take ownership and demonstrate the ability to identify and develop solutions for complex actuarial problems - Manage and deliver projects effectively - Scope and plan projects - Provide training to junior team members and self-train for medium risk projects - Conduct analysis and modeling using standard Actuarial and Statistical techniques - Explore new analysis methodologies as needed - Conduct peer reviews according to best practices of RSA - Prepare project documentation, assumptions, and final output - Develop draft stakeholder presentations - Minimum 4+ years of relevant experience in General Insurance - Strong analytical and modeling skills with research and problem-solving capabilities - Ability to develop collaborative relationships to achieve working goals - Innovative and result-oriented mindset - Knowledge of ResQ will be an added advantage.,

Role Overview: As the India Partner Management & Development Leader at Siemens, you will play a strategic role in building, nurturing, and scaling Siemens" partner ecosystem in India. Your focus will be on developing an ecosystem strategy, fostering partner relationships, enhancing capabilities, and engaging with the community in alignment with country plans. You will be responsible for identifying growth opportunities, driving partner selection, ensuring partner enablement, and fostering long-term partner success to support India's digital transformation priorities. Additionally, you will lead a high-performing team dedicated to achieving these objectives. Key Responsibilities: - Develop and execute a multi-year India Partner Ecosystem Strategy aligned with LCB priorities and growth sectors. - Conduct white-space mapping to identify partner gaps across verticals, domains, and solution areas. - Shape a balanced ecosystem by including System Integrators, VARs, ISVs, OEMs, Distributors, and Technology Alliances. - Ensure alignment of vertical and regional coverage with country sales and industry leaders. - Identify, assess, and onboard high-potential partners aligned with Siemens strategic themes such as Digital Twin, Industrial AI, and Smart Infrastructure. - Evaluate partner suitability based on capability, capacity, and commitment dimensions. - Establish executive-level engagement with key partners to co-develop joint business cases and strategic growth plans. - Collaborate with AP Zone and Global teams to drive cross-border collaboration and expand partner reach. - Define the strategic architecture for the partner journey encompassing recruitment, onboarding, enablement, growth, and renewal. - Lead joint business planning and strategic reviews with top partners. - Emphasize relationship health, trust, and co-innovation potential over transactional KPIs. - Develop programs to enhance partner sales, solution, and technical competencies. - Create enablement and certification roadmaps tailored to India's vertical and use-case landscape. - Promote partner-led innovation, incubation, and proof-of-value initiatives. - Work with Enablement and Marketing teams to scale digital learning, webinars, and industry showcases. - Negotiate and structure strategic commitment frameworks involving co-innovation, joint GTM investments, and specialization targets. - Encourage partner capacity building and expertise development in Siemens practices and solutions. - Influence partners to invest in skills, digital infrastructure, and sustainable innovation. - Establish India Partner Advisory Councils for strategic dialogue and feedback. - Drive partner recognition, storytelling, and thought leadership through awards, showcases, and media. - Create engagement platforms such as innovation days, co-creation labs, and ecosystem forums. - Strengthen Siemens ecosystem brand within India's digital and industrial transformation narrative. - Act as a strategic escalation point for high-impact partner issues. - Implement improvements to eliminate recurring partner friction points. - Advocate for a seamless partner experience across all engagement stages. - Provide advice to Country and Sales Leadership on partner leverage models and GTM integration. - Incorporate partner value propositions within vertical plays and customer campaigns. - Foster a partner-first culture through alignment with sales enablement, marketing, and operations. - Track ecosystem health metrics like capability maturity, engagement strength, and innovation output. - Share partner intelligence to guide business planning, investments, and policy formulation. - Produce executive reports and dashboards on ecosystem growth and partner impact. Qualifications & Experience: - 12+ years of experience in Partner Management, Ecosystem Development, or Strategic Alliances, preferably in Industrial Automation, Digital Transformation, or Enterprise Software. - Demonstrated success in building and scaling ecosystems with diverse partner types and business models. - Strong knowledge of Industry 4.0, Smart Manufacturing, and Cloud/Edge/AI trends. - Proven ability to engage C-level stakeholders, influence partner investments, and shape strategic direction. - Expertise in designing enablement programs and building ecosystem capacity. - Collaborative leadership style with cross-functional experience in sales, operations, and marketing. - Familiarity with PRM/CRM platforms for strategic purposes. - Excellent communication, negotiation, and executive presentation skills. - Fluency in English with proficiency in Hindi or regional languages preferred. - Willingness to travel across India and AP Zone (30-40%).,

As an Architectural Intern at Grid Space Design Studio, you will assist with the creation and development of architectural designs. This part-time hybrid position, based in Hisar with some work-from-home flexibility, provides a unique opportunity to contribute to a creative and professional firm specializing in innovative and functional spaces for various projects. - Collaborate with skilled architects and interior designers to plan and implement projects - Develop design solutions, create models, and draft architectural plans - Bring clients" visions to life through conceptual design, space planning, material selection, construction documentation, and project management To excel in this role, you should have skills in Architecture and Architectural Design and the ability to work collaboratively in a team environment. Proficiency in design software such as AutoCAD and SketchUp is essential for effective contribution to the design process. Grid Space Design Studio values creativity, practicality, and sustainability in design approach. The studio aims to create visually stunning, functional, and timeless spaces that cater to clients" needs and the environment. If you are passionate about architecture and eager to gain hands-on experience in a professional setting, this opportunity is perfect for you. Join our dynamic team and be part of a studio that leverages cutting-edge technology and a deep understanding of spatial aesthetics to deliver exceptional design solutions. Apply now and embark on a rewarding journey of creativity and innovation with Grid Space Design Studio.,

Role Overview: As a CBRE Facilities Manager, you will lead a team responsible for overseeing building operations and maintenance for a facility, campus, or a portfolio of small to medium-sized buildings. This role falls under the Facilities Management functional area, which involves managing all aspects of asset operations to support Property Managers in repairs and investment plans. Key Responsibilities: - Provide formal supervision to employees, monitor training and development, conduct performance evaluations, and oversee recruiting and hiring. - Schedule and manage the team's daily activities, establish work schedules, assign tasks, and cross-train staff. Set deadlines, mentor, and coach as needed. - Coordinate and manage facility repairs and maintenance by collaborating with technicians, vendors, and contractors. - Maintain positive client relationships, conduct meetings on unresolved facility issues, and manage capital projects, operating budgets, and variance reports. - Perform facility inspections for quality assurance, suggest operational efficiencies, repairs, and upgrade opportunities. Manage environmental health and safety procedures. - Oversee vendor relationships and invoicing procedures, review price quotes for procurement, and provide process and procedure training on maintenance, repairs, and safety best practices. - Lead by example, model behaviors consistent with CBRE RISE values, and influence parties toward shared interests. Apply knowledge of discipline to achieve team and departmental objectives. - Identify, troubleshoot, and resolve day-to-day and moderately complex issues within existing systems and processes. Qualifications Required: - Bachelor's Degree preferred with 3-5 years of relevant experience. Experience and education combination considered in lieu of a degree. Valid driver's license required. Facility Management certification preferred. - Experience in staffing, selection, training, development, coaching, and mentoring preferred. Ability to convey performance expectations, handle problems, and guide sensitive information exchange. - Leadership skills to motivate team impact on quality, efficiency, and department effectiveness. Strong organizational skills and an inquisitive mindset. - Advanced math skills for calculating figures such as percentages, fractions, and financial-related calculations. *Note: This job falls under the GWS Segment of the service line.*,

Job Description: As the Data Scientist Lead of our network security machine learning project, your role will entail combining technical expertise with project management skills. You will be responsible for designing and implementing ML models, conducting data analysis, and guiding the overall project strategy. Your strong background in statistics, machine learning, and data visualization will be instrumental in effectively communicating complex ideas to the team and leading them towards success. Key Responsibilities: - Lead the development and implementation of machine learning models tailored for network security applications - Oversee data analysis processes and create advanced visualizations to effectively communicate insights - Guide model selection, training, and validation procedures - Develop algorithms for real-time forecasting and predictions - Manage project timelines, resources, and deliverables - Collaborate with and mentor the Data Engineer and ML/LLM Developer - Communicate project progress and results to stakeholders Required Skills: - Bachelor's or master's degree in computer science, Software Engineering, or an advanced degree in Computer Science, Statistics, or related field - 5-7 years of experience in data science, with a minimum of 2 years in a leadership role - Proficiency in network security or cybersecurity - Knowledge of time series analysis and anomaly detection techniques - Familiarity with graph analytics and network analysis - Expertise in Python and R for data analysis and modeling - Proficiency in machine learning libraries such as scikit-learn, TensorFlow, and PyTorch - Strong understanding of statistical analysis and probability theory - Experience with big data technologies like the Hadoop ecosystem and Spark - Proficiency in SQL and NoSQL databases - Strong data visualization skills using tools like Matplotlib, Seaborn, Plotly, and Tableau - Experience with version control systems like Git - Knowledge of data privacy and security best practices - Experience with deep learning models for sequence data - Understanding of DevOps practices and CI/CD pipelines - Familiarity with containerization technologies such as Docker and Kubernetes - Project management experience with a preference for Agile methodologies Benefits: Our benefits include Health Insurance, Performance-Based Bonuses (For Specific Roles), Hybrid flexibility for better work-life balance, Wellness Programs, Access to mental health support, meditation sessions, and ergonomic workspaces to ensure a healthy and productive work environment, Team Lunches & Celebrations, Regular team lunches, parties, and win celebrations to foster a collaborative and fun work culture. Education & Experience: Bachelor's degree in IT, Computer Science, Networking, or a related field (preferred). 1-3 years of experience in customer support, technical support, or network troubleshooting Technical Knowledge: Strong understanding of networking concepts (TCP/IP, VLANs, Firewalls, DNS, DHCP, NAT). Basic knowledge of cybersecurity principles (threat detection, VPNs, firewall configurations). Experience with troubleshooting routers, switches, and firewall issues. Familiarity with CRM tools (Zoho CRM, Salesforce, Freshdesk, etc.). Hands-on experience with remote support tools (AnyDesk, TeamViewer, etc.). Communication & Problem-Solving: Excellent verbal and written communication skills in English. Ability to handle multiple queries effectively and prioritize tasks. Strong problem-solving skills with a customer-first approach.,

You will be working at Offgrid Energy Labs, an IP-focused zinc-battery-tech company that has developed ZincGel battery technology for renewable and grid-scale energy storage. Your role as a CAD Designer will involve translating engineering concepts into detailed 3D models and manufacturing-ready drawings, collaborating closely with injection molding firms and mechanical/manufacturing engineers. **Key Responsibilities:** - Develop detailed 2D, 3D CAD models and drawings using parametric and surface modeling techniques - Perform design modifications and optimizations for product performance and manufacturability - Prepare and review engineering drawings, specifications, and BOMs - Conduct feasibility studies and provide design input based on simulation results - Work closely with Mold makers and Vendors for tryout and adherence to Design - Apply knowledge of materials to select appropriate materials for components and assemblies **Required Qualifications:** - Bachelor's in Mechanical Engineering or Four Year Diploma in Tool & Die Making or related field - Minimum of 2 years of experience in CAD design, preferably in Plastic injection molding - Proficiency in CAD software like SolidWorks, CATIA, Siemens NX, or similar - Strong expertise in parametric modeling and surface modeling - Basic understanding of simulation techniques and manufacturing processes - Knowledge of material properties, particularly plastics and metals If you join Offgrid Energy Labs, you will be part of a mission-driven team working on breakthrough clean energy tech, have the opportunity to shape product design from the ground up, work in a collaborative and flexible startup environment, and receive a competitive salary.,

As an AI/ML Developer, you will be responsible for developing and deploying AI-driven applications using Machine Learning, Natural Language Processing (NLP), and Python. Your expertise in Streamlit for web applications and Azure Cloud services will play a crucial role in building scalable and serverless applications. Here is a summary of your role, key responsibilities, and required qualifications: **Role Overview:** As an AI/ML Developer, your primary focus will be on developing and deploying AI-driven applications using Machine Learning, NLP, and Python. You will work with Streamlit for web applications and Azure Cloud services to build scalable and serverless applications. **Key Responsibilities:** - **Machine Learning & NLP:** - Develop and implement machine learning models, particularly in natural language processing. - Apply statistical analysis and machine learning techniques to large datasets. - Optimize and fine-tune models for performance and scalability. - **Python & Streamlit:** - Develop and deploy web applications using Python and Streamlit. - Ensure seamless integration of AI/ML models within web applications. - **Large Language Model Selection:** - Evaluate and select appropriate large language models based on problem descriptions. - Implement and fine-tune models for specific use cases. - **Prompt Engineering:** - Design and refine prompts for language models to improve output quality and relevance. - Experiment with various prompt engineering techniques to enhance AI-driven solutions. - **Azure OpenAI Studio & Azure AI Services:** - Utilize Azure OpenAI Studio to develop, train, and deploy AI models. - Leverage Azure AI services, including the Chat Playground, to build intelligent applications. - Develop and deploy scalable serverless functions on Azure Cloud. - **Application Development & Deployment:** - Develop and deploy AI/ML-powered applications on Azure Cloud. - Ensure applications are scalable, efficient, and maintainable. - Implement best practices in DevOps for continuous integration and deployment. **Qualifications:** - Bachelor's degree in Computer Science, Engineering, or a related field. - 5+ years of experience in AI/ML, with a focus on machine learning and NLP. - Proficiency in Python and experience with Streamlit for web application development. - Experience in selecting and fine-tuning large language models. - Strong expertise in prompt engineering. - Hands-on experience with Azure OpenAI Studio and Azure AI services, including the Chat Playground. - Proven ability to develop and deploy scalable serverless functions on Azure Cloud. - Excellent problem-solving skills and the ability to work in a fast-paced environment.,