77 World Machine Jobs nearby Alappuzha

As a Python developer at Berryworks, you will be responsible for building world-class machine learning solutions using your hands-on experience and expertise in object-oriented programming, data structures, algorithms, and web application development. Your role will involve developing elegant solutions and client-ready product features to make a significant impact on product development. Key Responsibilities: - Utilize your 1+ years of hands-on experience in programming to develop elegant solutions - Develop client-ready product features with a strong customer-focused mindset Qualifications: - Proficiency in NodeJS or Python - Experience in working with natural language processing models - Experience with data and integrations - Familiarity with DynamoDB or other NoSQL Databases - Experience working on the AWS platform for development - Comfort with Agile development methodology - Excellent verbal and written communication skills for effective collaboration Qualification Required: - Bachelors degree in Computer Science or equivalent Berryworks is a fast-growing SaaS company based in Kochi, aspiring to be the next Unicorn. It offers a fast-paced environment where you can work with hands-on leaders who are passionate about growing people and bringing out the best in them.,

As a CNC Press Brake Operator at Al Zamel Group, Kuwait, your role involves operating LVD CNC Press Brake machines safely and efficiently. You will be responsible for setting up the machine according to various material and part specifications, selecting appropriate bending tools and dies, and performing required machine calibrations and adjustments. Additionally, you will need to program and edit CNC bending parameters as needed and inspect bent parts to ensure accuracy, dimensional compliance, and adherence to quality standards. Key Responsibilities: - Operate LVD CNC Press Brake machines safely and efficiently. - Set up the machine according to various material and part specifications. - Select appropriate bending tools and dies, and perform required machine calibrations and adjustments. - Program and edit CNC bending parameters as needed. - Inspect bent parts to ensure accuracy, dimensional compliance, and adherence to quality standards. Qualifications Required: - Minimum 2 years of experience operating LVD CNC press brake bending machines or similar. - Strong proficiency in CNC programming with solid knowledge of bending tools, dies, and forming techniques. - Ability to carry out routine maintenance and troubleshooting to reduce downtime. - Excellent understanding of technical drawings, fabrication standards, and bending tolerances. - Competency in using precision measuring tools such as vernier calipers, micrometers, and protractors. - Good knowledge of sheet-metal materials and production processes. - Strong attention to detail and strict commitment to workplace safety. Please note that benefits and salary will be determined based on experience. This is a permanent job opportunity that requires in-person work location. Thank you for considering a role at Al Zamel Group, Kuwait.,

As a Data Scientist at our company in Thiruvananthapuram, you will be expected to have 5 to 9 years of hands-on experience in data science projects, preferably across different domains. Your role will involve utilizing strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions. You should demonstrate a proven ability to translate complex business problems into data science use cases with practical impact. Your key responsibilities will include: - Building and validating machine learning models, including classification, regression, and survival analysis. - Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis. - Experience in handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning. - Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders. - Familiarity with version control tools such as Git/GitHub and collaborative development workflows. - Having a deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable. The company values individuals with a solid foundation in data science and a passion for applying their skills to real-world problems.,

As a Data Scientist at Sentient Scripts, you will play a crucial role in designing, developing, and maintaining data pipelines and analytical models focusing on Generative AI and Large Language Models (LLMs). With your strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights to advance cutting-edge R&D initiatives. Your responsibilities will include: - Designing, building, and optimizing scalable data pipelines for processing structured and unstructured data for analytical, Generative AI, and LLM-based applications. - Developing and implementing analytical models, Generative AI solutions, and LLM workflows using Python, open-source frameworks, and libraries. - Collaborating with cross-functional teams to define data requirements and deliver actionable insights from complex datasets for AI-driven systems. - Conducting hands-on development for in-house R&D projects, exploring innovative data solutions, Generative AI use cases, and LLM integrations. - Ensuring data quality, integrity, and security across all systems and processes, especially for AI model training and deployment. - Documenting workflows, processes, and technical specifications to support knowledge sharing and scalability. - Staying updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualization in powerBI/tableau Required Qualifications: - 3-5 years of professional experience in data engineering, data analysis, or related roles. - Proficiency in Python programming for data processing, analysis, and model development, including Generative AI and LLM applications. - Hands-on experience with open-source data tools, frameworks, and LLM ecosystems. - Strong knowledge of analytical modeling techniques, statistical analysis, machine learning, Generative AI, and data visualization. - Experience with relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB). - Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., AWS, GCP, Azure). - Problem-solving mindset with a passion for innovation and R&D in AI technologies. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. At Sentient Scripts, you will have the opportunity to work on groundbreaking R&D projects with real-world impact, focusing on Generative AI and LLM innovations in a collaborative and dynamic work environment that encourages growth and learning.,

Role Overview: At EY, you will have the opportunity to build a career tailored to your unique abilities, supported by a global network, inclusive culture, and cutting-edge technology. Your voice and perspective will be valued in contributing to EY's continuous improvement. By joining EY, you will not only create an exceptional experience for yourself but also contribute to building a better working world for all. Key Responsibilities: - Perform Configuration/Customization of the ServiceNow system, including creating workflows - Build service request fulfilment workflows based on customer requirements, utilizing workflows, UI actions, client scripts, and business rules - Utilize scripting tools and ServiceNow functionality to automate routine tasks - Conduct integrations and process automation through Orchestration, Web Services, Soap calls, etc. - Gather specifications from business departments, interpret requirements, and develop technical specifications documentation - Manage data transfer between Service-now and other systems - Collaborate with business liaison to create dashboards, home pages, and reports as needed - Analyze user stories and internal procedures to enhance system capabilities and automate process workflows - Conduct system and integration testing using sample and live data Skills And Attributes For Success: - Proficiency in authentication protocols like Active Directory / LDAP or SiteMinder federation / Azure - Familiarity with Disciplined Agile Delivery software release build/deploy processes - Experience in integrating internal and external applications and systems - Strong knowledge of JavaScript, HTML, Angular JS, and web design best practices - Service Portal implementation experience - Implementation experience in applications like HRSD, GRC, SecOps, IRM, CSM, PPM, APM, ITSM, ITOM, and Service Portal - Experience in Performance Analytics and digital technologies such as Machine learning, AI, IOT, Blockchain Qualifications Required: - College degree in a related technology field (Computer, Engineering, Science, etc.) or relevant job experiences - 4 to 6 years of experience in a development role with progressive responsibilities - Mandatory ServiceNow CSA certification and any CIS certification - ITIL foundations certification would be a plus Additional Company Details (if present): EY is dedicated to creating a better working world by providing value to clients, people, and society through trust in the capital markets. With diverse teams across over 150 countries, EY offers services in assurance, consulting, law, strategy, tax, and transactions to address complex global issues.,

Role Overview: You will be leading the Data Engineering and Data Science pillars within the Global Analytics team at EY's Global Finance function. Your role involves scoping, exploring, and delivering advanced data science/ML projects to drive growth and create efficiencies. You will work closely with the Global Analytics team lead and other pillar leads to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm. Key Responsibilities: - Support the team lead in scoping, exploring, and delivering advanced data science/ML projects - Create machine learning driven financial forecasts for different parts of the firm to inform planning cycles and talent strategy - Predict revenue potential of EY's services for each client and suggest business development strategies - Provide data-driven recommendations to optimize service delivery for improved margins - Establish a best-in-class data management framework and architecture for leveraging agentic AI - Use agile best practices to manage team priorities and workflow across multiple projects - Maintain high standards in work quality and processes, including validation, testing, and release management - Act as a thought leader, driving proactive recommendations based on EY's needs for predictive insights - Coach and develop the team to enhance their skills and capabilities - Communicate developments effectively to stakeholders, including non-technical senior leaders and technical teams Qualifications Required: - Strong track record in leading teams to develop data science/machine learning solutions - Ability to build rapport and trust with key stakeholders - Proficiency in creating and explaining visual stories around analysis - Proven experience in proactive innovation and solution inception - Expertise in creating and managing automated ETL processes and relational database schemas - Practical experience in exploratory analytics, data science, and machine learning pipelines using Python and SQL - Experience with Graph databases, metadata management, LLMs, and PowerBI is advantageous Company Details: EY is committed to being an inclusive employer, offering flexible working arrangements to achieve a balance between client service and personal priorities. The company provides a competitive remuneration package, comprehensive Total Rewards, support for career development, and a range of benefits tailored to individual needs. Working at EY offers opportunities to learn new skills, progress in your career, and handle your role in a way that suits you, all while contributing to building a better working world.,

As an Assistant Director SAP/ERP Assistant Product Manager at EY, you will have the opportunity to build a unique career with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are crucial in helping EY become even better. By joining us, you will contribute to creating an exceptional experience for yourself and a better working world for all. **Role Overview:** You will be a part of Enterprise Technology, which provides reliable, secure, and resilient technology services and solutions to support 400,000 EY people. As a member of the Mercury Support Team (MST), a joint Finance/Enterprise Technology organization, you will play a key role in enabling innovative technologies that support core operating processes across the Opportunity and Engagement Lifecycle. **Key Responsibilities:** - Understand and document business processes, workflows, and requirements to align ERP components with organizational goals and operational needs. - Develop detailed functional specifications for SAP CPM components, including user stories, use cases, and acceptance criteria for new features, configurations, technical fixes, and enhancements. - Support the lead Product Manager in interactions with business/finance stakeholders and the technical team to ensure mutual understanding of requirements and constraints. - Monitor the effectiveness of SAP components in supporting business operations, reporting on their impact and ROI. - Team with technical teams and business stakeholders to manage and monitor functional incidents and service requests through the full lifecycle. - Provide oversight for technical incident, service request, and problem ticket management, adhering to SLA compliance for all workloads. **Qualifications Required:** - 5+ years of experience in a large business system environment, performing business analysis, business development, and/or project systems management. - 5+ years of experience in SAP CPM solutions. - Direct experience in supporting Engagement Maintenance operations for a global professional services organization. - SAP certification preferred. - Strong verbal and written communication skills, including cross-cultural communication abilities. - Ability to work with individuals from diverse cultures, countries, and time zones. - Knowledge of Artificial Intelligence, BOT Framework, and Machine Learning. **Additional Company Details:** At EY, we are committed to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams in over 150 countries use data and technology to provide assurance and help clients grow, transform, and operate effectively. EY encourages a diverse and inclusive culture where individuals are embraced for who they are and empowered to make a difference.,

As a Machine Learning Engineer at our forward-thinking technology company, you will be a key player in our AI initiatives. Your role involves designing, developing, and deploying robust and scalable ML solutions to address real-world business challenges. **Key Responsibilities:** - **Data Handling & Preparation:** - Perform data extraction, integration, preprocessing, and cleansing from various structured and unstructured sources. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights. - Apply vectorization techniques (e.g., TF-IDF, embeddings) where applicable for text and categorical data. - **Feature Engineering & Modeling:** - Apply feature scaling, selection, and engineering techniques to enhance model performance. - Build, train, and evaluate machine learning models for both regression and classification problems. - Tune parameters and hyperparameters including learning rate, regularization factors, and model-specific controls. - **Model Evaluation & Optimization:** - Use appropriate evaluation metrics (e.g., RMSE, F1-score, AUC) to validate model performance. - Optimize model pipelines using techniques like cross-validation, grid/random search, and early stopping. - **Deployment & Monitoring:** - Package and deploy models using APIs, containers (Docker), or scalable services (AWS/GCP/Azure). - Build ML pipelines for continuous training, testing, deployment, and performance monitoring. - Monitor live models and retrain/update based on data drift or accuracy decay. **Qualifications Required:** - **Required Qualifications:** - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. - Strong programming skills in Python, with hands-on experience in NumPy, Pandas, and Scikit-learn. - Deep understanding of machine learning fundamentals: supervised learning, model evaluation, vectorization, parameters vs hyperparameters, and learning rate tuning. - Experience with ML frameworks such as TensorFlow, PyTorch, or XGBoost. - Proficiency in working with large datasets, data wrangling, and pipeline automation. - Familiarity with version control (Git) and CI/CD tools. - **Preferred Qualifications:** - Experience in deploying ML models using Flask/FastAPI, Docker, or Kubernetes. - Familiarity with SQL and big data tools (e.g., Spark, Kafka, Airflow). - Exposure to MLOps and model lifecycle management. - Prior experience in use cases involving computer vision, recommendation systems, or NLP. **Additional Details:** Our company values professionals who understand deep learning concepts such as Transformers, CNNs, RNNs. Experience with small language models (SLMs) and techniques like fine-tuning is a plus. Familiarity with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Weaviate is advantageous. Exposure to large language models (LLMs) and enterprise-level integrations, as well as understanding agentic frameworks (e.g., LangChain agents, ReAct) for intelligent workflow orchestration, will be beneficial.,

As a Generative AI Lead Developer at EY, you will have the opportunity to design, build, and deploy cutting-edge generative AI solutions. Your role will involve leading a team of engineers, collaborating with product managers, and staying updated on the latest advancements in generative AI. **Key Responsibilities:** - Design and develop AI and Generative AI based custom solutions for service delivery teams. - Implement and deploy generative AI systems into production in collaboration with team members. - Monitor and manage generative AI systems to ensure performance and reliability. - Establish best practices for building, deploying, and managing generative AI systems. - Stay informed on the latest research in generative AI and apply new knowledge to projects. - Collaborate with engineers, scientists, and product managers to deliver innovative generative AI solutions. - Mentor and guide junior engineers in the team. **Qualifications:** - Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field. - 1+ years of experience in generative AI. - 6+ years of experience in AI-based software development. **Preferred Skills and Experience:** - Proficiency in designing, building, and deploying scalable machine learning models on cloud platforms like Azure or GCP. - Familiarity with various generative AI models and techniques. - Experience with deep learning models including GANs, diffusion models, and transformers. - Knowledge of prompt engineering and machine learning optimization. - Expertise in computer vision, natural language processing, reinforcement learning, and distributed computing. - Experience with DevOps, CI/CD, machine learning ethics, and generative AI applications in domains like talent management and finance. - Excellent communication and interpersonal skills. Join EY to contribute to building a better working world through innovative AI solutions and be part of a diverse global team dedicated to creating long-term value for clients, people, and society.,

In this role as an Assistant Product Manager - Controlling at EY, you will have the opportunity to contribute to enabling innovative technologies that support core operating processes across the Opportunity and Engagement Lifecycle and its related Finance Applications. Your role will involve supporting critical elements of the global operational stability of the SAP Controlling product suite, including monitoring, maintenance, resolution of systems incidents and outages, as well as assisting in the successful delivery/deployment of enhancements, configurations, and product releases. You will collaborate with technologists and business experts to ensure that SAP components align with organizational goals and operational needs, promoting industry best practices and regulatory requirements. **Key Responsibilities:** - Understand and document business processes, workflows, and requirements related to ERP components - Develop functional specifications for SAP Controlling components, including user stories, use cases, and acceptance criteria - Support the lead Product Manager in interactions with business stakeholders and the technical team - Participate in the product update and enhancement lifecycle, focusing on demand, requirements, validation, and securing business sign-off - Assist in requirements review, validation activities, test case reviews, and user acceptance testing for new features in the SAP Controlling product suite - Monitor the effectiveness of SAP components in supporting business operations and report on their impact and ROI - Collaborate with other Technical teams and business stakeholders to manage functional incidents and service requests - Provide oversight on technical incident, service request, and problem ticket management - Adhere to SLA compliance for all workloads and re-prioritize tickets if necessary - Analyze batch failures/errors and report findings to the lead Product Manager **Skills And Attributes For Success:** - 7+ years of experience in a large business system environment, performing business analysis, business development, and/or project systems management - 7+ years of experience in SAP FI-CO solutions - Foundational knowledge of financial principles and accounting practices - Direct experience in supporting Finance and Controlling operations for a global professional services organization - SAP certification preferred - Exceptional verbal and written communication skills - Ability to work effectively with people from diverse cultures, countries, and time zones - Knowledge of Artificial Intelligence, BOT Framework, and Machine learning **Qualifications Required:** - Bachelors degree in finance, business, computer science, or a related discipline, or equivalent work experience - 7+ years of relevant experience in an ERP/SAP Financial Product function - S4HANA hands-on experience - Possession of a current (non-expired) professional, industry-recognized certification preferred In addition to the technical aspects of the role, the company, EY, offers a dynamic and truly global delivery network through EY Global Delivery Services (GDS). You will have the opportunity to collaborate with EY teams across the globe on exciting projects, work with well-known brands, and continuously learn and develop your skills. EY is committed to building a better working world by providing diverse and inclusive culture, transformative leadership, and opportunities for individuals to make a meaningful impact and grow in their careers.,

As a Data Science Programs Lead Associate Director at EY, you will have the opportunity to lead the Data Engineering and Data Science pillars within the Global Analytics team, working with EY's leadership teams to ensure that data and analytics-driven insights are used in strategic and operational decision-making across the firm. Your role will involve scoping, exploring, and delivering advanced data science and machine learning projects to drive growth and create efficiencies. Key responsibilities include: - Supporting and collaborating closely with the Global Analytics team lead and other pillar leads - Using agile best practices to effectively manage team priorities and workflow across multiple projects - Ensuring high standards are maintained in terms of your team's work, including robust processes for validation, testing, and release management - Being a thought leader by proactively driving recommended next steps based on EY's needs for predictive insights - Coaching and developing the team to ensure they have the right skills to succeed and improve weak spots - Communicating developments eloquently to stakeholders, including non-technical senior leaders and other technical teams To qualify for this role, you must have: - An excellent track record in leading teams to develop data science and machine learning solutions - The ability to generate rapport and build trust with key stakeholders - Strong experience creating and managing automated ETL processes for machine learning pipelines - Practical experience performing exploratory analytics and creating data science pipelines using Python and SQL Additionally, experience with Graph databases, metadata management, LLMs using vectorized and structured data, and PowerBI is advantageous. Working at EY offers a competitive remuneration package, inclusive employer policies, flexible working arrangements, and opportunities for career development and skills enhancement. EY is committed to building a better working world by providing trust through assurance and helping clients grow, transform, and operate using data and technology.,

As a Senior Manager - Data Scientist at EY, you will play a crucial role in leading the development and implementation of advanced analytics, machine learning, and artificial intelligence solutions across diverse platforms such as Azure, Google Cloud, and on-premises environments. Your key responsibilities will include: - Designing and overseeing the creation of scalable AI/ML models and algorithms to solve complex business problems and generate actionable insights. - Driving the adoption and implementation of General AI use cases, ensuring alignment with business objectives and value creation. - Applying deep expertise in machine learning, predictive modeling, and statistical analysis to large, complex datasets. - Championing the integration of AI/ML capabilities into existing data architectures and pipelines for enhanced decision-making. - Providing thought leadership and mentorship within the team, staying abreast of emerging AI/ML technologies and industry trends to foster innovation. - Ensuring compliance with ethical AI practices and contributing to the development of responsible AI frameworks. Qualifications required for this role include: - 12+ years of experience in data management or a related field, with at least 5 years focused on AI/ML. - Proven track record of designing and deploying successful AI/ML projects and General AI use cases. - Strong experience with cloud technologies (Azure/Google Cloud) and familiarity with on-premises environments. - Expertise in advanced analytics, machine learning algorithms, and predictive modeling. - Proficiency in programming languages such as Python, R, or Scala, and libraries/frameworks like TensorFlow, PyTorch, or Keras. - Deep understanding of the application of AI/ML in creating data products and insights. - Experience with deploying machine learning models into production environments. - Excellent knowledge of statistical analysis, algorithm development, and experimental design. - Strong leadership skills and the ability to mentor and guide teams. - Bachelor's or master's degree in computer science, Engineering, Mathematics, Statistics, or a related field with a strong quantitative focus. Join EY in building a better working world by creating new value for clients, people, society, and the planet while building trust in capital markets. EY teams help clients shape the future with confidence and develop solutions for the most pressing issues of today and tomorrow across a full spectrum of services in assurance, consulting, tax, strategy, and transactions. With a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams provide services in more than 150 countries and territories.,

As a business adviser at EY, your role will involve supporting the Client and Industry (C&I) CFO and Global Finance Leadership Teams in executing the All In strategy and key Finance priorities. You will collaborate with internal clients to develop enhanced business insights for informed decision-making, working within the Global C&I Finance team to drive competitive advantage and commercial success. **Key Responsibilities:** - Provide support to C&I CFO and C&I Leaders by offering insights and recommendations based on financial analysis and modeling activities to assist with business planning and decision-making. - Act as the main point of contact for primary stakeholders such as C&I pillar leaders, Industry leaders, Account leaders, and Global FP&A CFO to facilitate the achievement of C&I strategic objectives. - Lead initiatives that enhance forward-looking projections based on market trends, and promote the utilization of technology and innovation in finance. - Deliver regular updates and briefings to C&I Leadership ahead of executive meetings, offering recommendations and insights. - Encourage a collaborative mindset across Finance and other functions, and manage the C&I hierarchy in Mercury efficiently to mitigate risks with future business evolution. - Provide functional expertise on strategic projects, advocate for the adoption of AI and Global tools, and mentor and coach finance team members to develop Trusted Business Advisor competencies. **Skills And Attributes For Success:** - Graduate and/or professional certification in a business-related subject like Accounting or Finance. - Minimum of 10 years of relevant experience. - Strong grasp of corporate financial management, financial planning, and analysis. - Excellent communication and presentation skills. - Proficiency in technical and analytical skills, with the ability to independently design and implement solutions. - Experience in applying AI and machine learning to financial data. - Advanced skills in Excel and PowerPoint. - Familiarity with EY reporting tools such as FR, Revenue Analyzer, and ThoughtSpot. - Ability to work flexibly across time zones, manage multiple priorities, and influence stakeholders at all levels. - Global mindset and capability to excel in a multicultural, virtual team environment. At EY, the focus is on building a better working world by creating value for clients, people, society, and the planet, all while fostering trust in capital markets. With the help of data, AI, and advanced technology, EY teams collaborate to shape the future with confidence and address the most critical issues of today and tomorrow. Operating across assurance, consulting, tax, strategy, and transactions services, EY teams leverage sector insights and a globally connected network to offer services in more than 150 countries and territories.,

As a Senior in EY's GDS-ServiceNow team, you will have the opportunity to work with a diverse team and contribute to building innovative solutions on the ServiceNow platform. You will play a crucial role in solving client problems and automating processes to enhance system capabilities. Here are the details of the role: **Key Responsibilities:** - Perform Configuration/Customization of the ServiceNow system, including creating workflows - Build service request fulfilment workflows based on customer requirements - Utilize scripting tools and ServiceNow functionality to automate tasks - Conduct integrations and process automation using Orchestration, Web Services, Soap calls, etc. - Gather specifications from business departments and deliver products that meet their needs - Load, manipulate, and maintain data between ServiceNow and other systems - Collaborate with business liaison to generate dashboards, home pages, and performance analytics data - Analyze user stories and internal procedures to improve system capabilities - Conduct system and integration testing with sample and live data **Skills And Attributes For Success:** - Proficiency in authentication protocols such as Active Directory / LDAP or SiteMinder federation / Azure - Experience in Disciplined Agile Delivery software release build/deploy processes - Ability to integrate with internal and external applications and systems - Knowledge of JavaScript, HTML, Angular JS, and good web design practices - Experience in Service Portal implementation - Implementation experience in various ServiceNow applications like ITOM, HRSD, CSM, etc. - Knowledge of digital technologies like Machine learning, AI, IOT, Blockchain **Qualifications Required:** - College degree in a related technology field or comparable job experiences - 4 to 6 years of experience in a development role - ServiceNow CSA certification plus any CIS certification - ITIL foundations certification is a plus In addition to the technical skills, the ideal candidate should possess a commercial acumen, technical experience, and a willingness to learn in a fast-moving environment. You will have the opportunity to work with a market-leading team and collaborate with leading businesses globally. Additionally, EY offers a supportive environment with opportunities for skills development and career progression tailored to your individual growth. If you are looking to be part of a dynamic team that values quality, knowledge exchange, and personal development, EY could be the right place for you to grow your career and make a meaningful impact in a better working world.,

Role Overview: You will be joining a team at EY in the banking and insurance sectors as a talented Data Scientist. Your role will involve analyzing large datasets, developing predictive models, exploring Generative AI applications, collaborating with cross-functional teams, creating data visualizations, utilizing Azure services, and staying updated on industry trends. Key Responsibilities: - Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations. - Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency. - Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services. - Work closely with cross-functional teams to understand data requirements and deliver actionable insights. - Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences. - Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency. - Stay updated on industry trends, emerging technologies, and best practices in data science and analytics. Qualifications: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field. - 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors. - Proficiency in SAS, R, and Python for data analysis and modeling. - Familiarity with Generative AI concepts and applications. - Experience with Azure services for data analytics and model deployment. - Strong analytical and problem-solving skills. - Excellent communication skills. Additional Company Details: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a participant in the Python Development Training Program, you will have the opportunity to build a strong foundation in Python and enhance your programming skills. The program is designed for aspiring developers and covers a wide range of topics, from basic syntax to real-world applications such as web development, automation, data science, and machine learning. Key Responsibilities: - Engage in hands-on coding sessions and work on real-world projects - Receive live mentorship and expert guidance throughout the program - Follow an industry-relevant curriculum that includes topics like Django, Flask, and Data Science - Obtain a certification upon successful completion of the program - Benefit from placement assistance for top performers Qualifications Required: - Job Types: Full-time, Fresher, Internship - Contract length: 6 months Additional Details: - The program offers health insurance benefits to participants - Work Location: In person Why Join This Program - Gain practical skills to kickstart your career as a Python Developer - Work on real-world projects to build your portfolio - Learn from industry experts - Enjoy a flexible learning schedule with self-paced and instructor-led options,

As a Junior AI/ML Developer at Cloud Control, you will be part of our lowtouch.ai team, working on cutting-edge solutions and contributing to the development and deployment of AI solutions. The role offers you the chance to collaborate with experienced professionals, enhance your knowledge, and solve real-world problems using machine learning and AI technologies. **Key Responsibilities:** - Assist in developing, training, and deploying machine learning models for various business applications. - Collaborate with cross-functional teams to understand and address business requirements. - Conduct exploratory data analysis, feature engineering, and data preprocessing to enhance model performance. - Help in choosing suitable AI/ML algorithms and techniques based on project needs. - Participate in model testing, validation, and iteration to ensure accuracy and performance. - Document models, workflows, and code for reproducibility and scalability. - Stay updated with the latest advancements in AI/ML technologies and best practices. **Qualifications and Skills:** - Education: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related fields. - Technical Skills: - Basic knowledge of machine learning algorithms and concepts (e.g., regression, classification, clustering). - Proficiency in programming languages like Python, R, or similar. - Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and frameworks. - Understanding of data preprocessing, feature selection, and model evaluation techniques. - Experience in data analysis and visualization using tools such as Pandas, Matplotlib, or Seaborn. - Analytical Skills: Strong problem-solving skills with attention to detail and accuracy. - Communication: Effective verbal and written communication skills for collaborative work. - Passion for Learning: Enthusiasm for continuous learning and growth in the AI/ML field. This is a full-time job opportunity with health insurance benefits. The work location is in person. Join us at Cloud Control to begin your journey as a Junior AI/ML Developer and be part of our innovative team dedicated to shaping the digital landscape.,

Role Overview: You will have the opportunity to join EY's Risk Consulting team in the MENA FS Risk division as a Credit Risk Manager. Your role will involve leading a team, developing risk management strategies, and implementing solutions for clients in the financial services sector. Your responsibilities will include project management, technical expertise in financial products, and staying updated on industry trends. Key Responsibilities: - Lead a team of 5-6 Senior consultants and analysts for engagement execution and delivery, collaborating with industry professionals. - Demonstrate exceptional project management skills, fostering a collaborative environment, and ensuring accountability among team members. - Utilize deep technical expertise in financial products, particularly focusing on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies covering various risk domains. - Stay informed about market trends and challenges in the financial services sector to address client needs effectively. - Monitor project progress, manage risks, and communicate effectively with stakeholders to ensure successful outcomes. - Review and validate work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, showcasing flexibility and domain knowledge. Qualifications Required: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with at least 6 years of relevant experience. - Strong analytical and problem-solving skills. - Proficiency in statistics and econometrics. - In-depth knowledge of credit risk model development, validation, and implementation. - Understanding of risk analytics methodologies. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Excellent communication, presentation, and documentation skills. - Strong multi-tasking abilities under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9). - Exposure to regulatory stress testing processes and climatic risk space. - Experience in Interest Rate Risk in Banking Book (IRRBB) and data/business intelligence reporting. - Familiarity with machine learning models and project management. - Willingness to travel for client engagements. Company Details: EY is a global leader in assurance, tax, transaction, and consulting services, dedicated to building a better working world. They offer training, development opportunities, and a culture that values individual growth and creativity. Working at EY provides support, coaching, and feedback, along with the freedom to develop new skills and progress in your career. EY aims to create long-term value for clients, people, and society, emphasizing trust, innovation, and knowledge exchange.,

As a Machine Learning Engineer at G3 Interactive in Kochi, you will be responsible for developing intelligent, data-driven solutions tailored to client needs. You will be a key player in building real-world machine learning applications, from exploring new algorithms to deploying robust systems. Key Responsibilities: - Apply over two years of hands-on experience with deep learning and neural networks in practical projects - Research and evaluate novel machine learning models and techniques - Build and test experimental prototypes to support product development - Design ML systems based on specific client or business requirements - Translate model results into meaningful business insights - Assess test results and enhance model performance through continuous tuning - Conduct data exploration and visualization to uncover issues affecting model accuracy - Prepare datasets from varied sources such as APIs, databases, or structured files - Deploy machine learning models to production and manage their ongoing performance Required Skills & Qualifications: - Strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods - Degree in Computer Science, Mathematics, Statistics, or a related discipline - Proficiency in Python and SQL - Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn - Good grasp of software architecture, data modeling, and data structures - Experience running ML models on cloud services (AWS, Azure, or Google Cloud) - Strong problem-solving abilities, teamwork, and analytical thinking - Familiarity with data science workflows and tools In this role, you will need to have a strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods. A degree in Computer Science, Mathematics, Statistics, or a related discipline is required. Proficiency in Python and SQL is essential, along with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Additionally, you should have a good grasp of software architecture, data modeling, and data structures. Experience running ML models on cloud services like AWS, Azure, or Google Cloud is preferred. Strong problem-solving abilities, teamwork skills, and analytical thinking are important for success in this role. Familiarity with data science workflows and tools is a plus. Please note that the job type is full-time, with day and morning shifts available. The ability to reliably commute or plan to relocate to Ernakulam, Kerala, is required. The work location is in person at Ernakulam, Kerala.,

As a Cloud Architect Manager at EY, you will play a crucial role in leading our cloud architecture initiatives with a focus on Google Cloud Platform (GCP) and Microsoft Azure. With over 10 years of experience in hybrid cloud solutions, you will work closely with cross-functional teams to define cloud strategies and ensure best practices in cloud architecture. Your responsibilities will include: - Lead the design and implementation of hybrid cloud solutions on GCP and Azure aligned with EY's strategic goals and client needs. - Oversee the development and management of landing areas for data ingestion, ensuring efficient data flow from on-premises systems to cloud environments. - Evaluate and recommend cloud services and technologies from GCP and Azure for diverse client requirements. - Create and maintain robust data platforms supporting analytics, machine learning, and business intelligence initiatives across cloud and on-premises environments. - Collaborate with development, operations, and security teams for seamless integration of cloud services in hybrid environments. - Monitor cloud infrastructure performance, optimize resource utilization, and ensure cost-effectiveness and efficiency. - Provide technical leadership and mentorship to a team of cloud architects, fostering innovation and continuous improvement. - Stay updated on emerging cloud technologies and industry trends to drive innovation within EY and for clients. - Conduct risk assessments and ensure compliance with security standards and regulations specific to GCP, Azure, and hybrid environments. Qualifications required for this role include: - Bachelors degree in Computer Science, Information Technology, or related field; Masters degree preferred. - Minimum of 10 years of experience as a Cloud Architect or similar role with successful hybrid cloud implementations on GCP and Azure. - Extensive knowledge of GCP and Azure services, focusing on hybrid architectures. - Experience in developing landing areas for data ingestion, data platforms for analytics and machine learning. - Strong understanding of networking, security, and data management in hybrid cloud environments. - Excellent leadership, communication, and interpersonal skills, with the ability to work collaboratively in a team environment. - Relevant certifications such as Google Cloud Certified - Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert are highly desirable. EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet. With a focus on data, AI, and advanced technology, EY teams help shape the future with confidence and develop solutions for pressing issues. Operating across assurance, consulting, tax, strategy, and transactions, EY teams leverage sector insights and a globally connected network to provide services in over 150 countries and territories.,