8259 Machine Learning Jobs - Page 15

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Splunk Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in Splunk- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Splunk- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Tableau Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are functioning optimally and meeting user needs. Your role will require you to balance technical responsibilities with team management, fostering a collaborative environment that encourages innovation and efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with organizational goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Tableau.- Strong analytical skills to interpret data and provide actionable insights.- Experience with data visualization best practices.- Ability to work with cross-functional teams to gather requirements.- Familiarity with database management and SQL. Additional Information:- The candidate should have minimum 5 years of experience in Tableau.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Neo4j, Stardog Good to have skills : JavaMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Neo4j.- Good To Have Skills: Experience with Java.- Strong understanding of data modeling and graph database concepts.- Experience with data integration tools and ETL processes.- Familiarity with data quality frameworks and best practices.- Proficient in programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Neo4j.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Your Role and Responsibilities: As a Developer in the ITVM Software Engineering team, you will be responsible for developing and supporting application solutions, assisting in production issue resolution, and performing testing activities. You will work closely with the latest technologies in AI, leveraging Watsonx offerings to advance a Predictive model, GenAI data summarization and support a Machine Learning approach with Digital Assistants. and other IBM teams to identify functional requirements and contribute to the identification, justification, and design of the client’s solution. Responsibilities: - Develop and support application solutions, assisting in production issue resolution. - Write code or perform other technical, configuration tasks. - Perform testing activities. - Understand and use Watsonx offerings such as WCA,Watsonx.aiand others to increment a working AI application - Work as a team member pro-actively identify opportunities for new functional requirements that reduces security risks - Participate in a wide range of design activities, from requirements analysis through systems, application, and/or process design specification and implementation. - Gain knowledge across multiple platforms, processes, or architectures. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Full Stack SW Developer with experience in Java, Node.js, DB2, SQL, Git, Architecture, etc. Experience with Natural Language Processing and Large Language Models. Proficiency in Python with data analysis libraries such as NumPy and Pandas. Familiarity with IBM watsonx product offerings such as .ai, .data and orchestrate. Familiarity with IBM’s software engineering technologies and processes Deeper dive into Prompt Engineering. Knowledge of data science techniques and the data engineering ecosystem and lifecycle. Strong data visualization skills to effectively communicate and turn data into a meaningful story. Understanding of AI algorithms and the ability to create new foundations for AI capabilities. AI literacyUnderstanding how to use AI tools and platforms to streamline work and enhance productivity General Agile SW implementation knowledge (Scrum, Kanban, Jira, etc.) General DevOps practices application (CI/CD, Automations, API dev/integration, Compliance/Security handling, etc.) Ability to share ideas, identify technical issues, mitigate risks, and address concerns with the development team / Manager Strong communication skills to work with business stakeholders. Preferred technical and professional experience AI literacyUnderstanding how to use AI tools and platforms to streamline work and enhance productivity General Agile SW implementation knowledge (Scrum, Kanban, Jira, etc.) General DevOps practices application (CI/CD, Automations, API dev/integration, Compliance/Security handling, etc.) Ability to share ideas, identify technical issues, mitigate risks, and address concerns with the development team / Manager Strong communication skills to work with business stakeholder

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience . Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Advanced degree strongly preferred

We are seeking highly motivated individuals with a BS, MS, or PhD degree in Computer Science, Computer Engineering & Electronics & Communication Engineering ready to handle the challenging problems in future technologies and designs. We are also looking for candidates with Machine Learning/AI and/or Data Science background to lead our leading-edge algorithms and AI technology within our EDA solutions to increase our design team’s productivity and chip quality and performance. Our dynamic global team is looking to enlist enthusiastic professionals to join world-class hardware design teams responsible for developing the most challenging and complex systems in the world. We are seeking energetic, highly motivated individuals willing to go the extra mile with the aim of helping the overall IBM development team. Strong interpersonal skills are needed to coordinate deliverables and requirements from several areas within and outside of the organization.There are many opportunities to gain and utilize a deep understanding of future issues and provide input towards decisions affecting system development, logical and physical design as well as sophisticated methodology directions. Individuals who are chosen to become a part of our world class development teams will be helping advance IBM’s leadership in developing the highest performing computers and changing hardware solutions. Do you want to be an IBMerCome THINK with us! Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Individual contributor for Gate Leve Sign off Timing team to work on ASICs or Server Timing Methodology. 3+ years of Semiconductor/VLSI experience Proven problem-solving skills and the ability to work in a team environment are a must EDA Tool/Methodology development experience Thorough understanding of Static Timing Analysis. Knowledge of other VLSI domains is a plus Excellent scripting skills - TCL/Python/Shell Preferred technical and professional experience Cadence tools, Synopsys tools, VLSI knowledge, VHDL/Verilog, computer architecture, Machine Learning/AI

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with data warehousing solutions.- Strong understanding of ETL processes and tools.- Familiarity with data governance and data quality frameworks.- Experience in programming languages such as Python or SQL for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Job Description – Data Scientist Company: Tata Digital Private Limited Tata Digital is a future-ready company focused on building consumer-centric, high-engagement digital products. Our flagship offering, Tata Neu , is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited , we are committed to driving digital transformation at scale. Role Details Role Title: Data Scientist / Machine Learning Engineer Function: Data Science Location: Bangalore Experience: 3-5 Y About the Role: We are looking for an experienced Data Scientist / Machine Learning Engineer to join our team and help drive innovation in search, recommendation, and ads. You will be responsible for designing, building, and optimizing ML models that enhance user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions within a product-driven company, we want to hear from you. Key Responsibilities: Develop and optimize ML models for search ranking, recommendations, and ad targeting to improve engagement and monetization. Design, implement, and deploy large-scale ML pipelines in production environments. Experiment with and improve deep learning, NLP, for personalization and relevance. Conduct A/B testing and data-driven evaluations to measure the impact of ML models. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 3+ years of experience in Data Science / Machine Learning Engineering, with a focus on search, recommendation systems, or advertising. Strong programming skills in Python, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn . Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure . If you’re passionate about building intelligent, scalable, and high-impact ML solutions, apply now! Learn more about Tata Digital: Tata Neu Tata Digital Newsroom LinkedIn YouTube

Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccers machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems.

Job Summary The Lead Administrator role is pivotal in managing and optimizing our content management systems specifically focusing on OpenText and SAP solutions. With a hybrid work model this position requires a deep understanding of Generative AI and SAP technologies to enhance operational efficiency. The role involves collaborating with cross-functional teams to ensure seamless integration and archiving processes contributing significantly to the companys digital transformation initiatives. Responsibilities Manage and optimize OpenText Archive Server and Content Server to ensure efficient data storage and retrieval processes. Oversee the implementation and maintenance of SAP DART and SAP ILM systems to support data compliance and archiving requirements. Provide technical expertise in Generative AI to enhance content management capabilities and drive innovation within the organization. Collaborate with cross-functional teams to integrate SAP Archiving solutions with existing systems ensuring seamless data flow and accessibility. Develop and implement best practices for data archiving and retrieval focusing on improving system performance and user experience. Monitor system performance and troubleshoot issues to maintain optimal functionality and minimize downtime. Lead efforts to automate routine tasks and processes leveraging AI and machine learning technologies to increase efficiency. Ensure compliance with industry regulations and company policies regarding data management and archiving. Conduct regular training sessions for team members to enhance their technical skills and knowledge of content management systems. Provide strategic insights and recommendations to senior management on improving data management practices and technologies. Support the engineering and design teams by ensuring that data management systems meet their specific needs and requirements. Contribute to the companys digital transformation initiatives by implementing cutting-edge technologies and solutions. Work closely with the industrial manufacturing domain to tailor content management solutions that align with industry standards. Qualifications Possess strong technical skills in Generative AI OpenText Archive Server and Content Server. Demonstrate expertise in SAP DART SAP ILM and SAP Archiving. Have experience in engineering and design as well as industrial manufacturing domains. Exhibit excellent problem-solving abilities and attention to detail. Show proficiency in managing hybrid work environments and day shifts. Display strong communication and collaboration skills. Bring a minimum of 6 years of relevant experience in content management and archiving. Certifications Required OpenText Certified Content Server Administrator SAP Certified Application Associate

Roles & responsibilities Serve as the AI & data strategist , discovering and onboarding new data sources and shaping end-to-end pipelines that span traditional analytics, machine learning (ML), deep learning (DL), natural-language processing (NLP), generative AI (Gen AI), and agentic AI . Partner with engineering to design, build, and harden production-grade data and AI products (e.g., RAG search, LLM-powered assistants, anomaly-detection services). Run analytical experiments classification, forecasting, LLM fine-tuning, prompt-engineering A/B tests to solve business problems across multiple domains. Collect, clean, and enrich large structured, semi-structured, and unstructured datasets (text, image, audio, sensor, graph). Design, train, and validate classical ML models, DL architectures (CNN, RNN, Transformers), and instruction-tuned LLMs ; measure drift and conduct error analysis to drive iterative improvement. Implement retrieval-augmented generation and agentic task-planning pipelines that combine vector search, function calling, and tool invocation. Document findings, publish reusable components, and mentor junior data scientists and ML engineers. Qualifications Experience Proven experience in delivering data-driven solutions, with demonstrable depth in at least two of: ML, DL, NLP, GenAI, agentic AI. Hands-on proficiency in Python (pandas, NumPy, scikit-learn), DL frameworks (TensorFlow or PyTorch), and LLM / GenAI toolkits (Hugging Face Transformers, LangChain/LangGraph, Google ADK). Proven track record in feature engineering, pattern recognition, predictive modeling, and LLM fine-tuning / evaluation . Experience optimizing GPU / TPU workloads and scaling distributed training or inference. Familiarity with vector databases (FAISS, Chroma, Pinecone) and distributed data systems (Spark, BigQuery, Snowflake). sibilities Preferred candidate profile

Skillset Requirements: Experience: 3.5–5 years in Python Python Programming: Minimum 3.5 years Machine Learning/NLP: At least 1+ years LLM & GenAI: Minimum 1+ years Database Management: At least 2 years Cloud Deployment: 1+ years on Azure or AWS LLMOps: Familiarity is a plus Key Responsibilities: Design, develop, and maintain Python-based ML/AI applications Build and optimize ML/NLP models and integrate into production systems Implement and fine-tune LLMs and GenAI solutions for business needs Design and manage database structures for ML applications and data pipelines Deploy and monitor ML models in cloud environments (AWS/Azure) Collaborate with cross-functional teams for solution delivery Write clean, efficient, and well-documented code Participate in code reviews and provide feedback Troubleshoot and resolve technical issues in production Stay updated with trends in ML, NLP, and GenAI

Job Title: AI Software Developer Location: Pune (Hybrid) Budget: Up to 20 LPA Experience Required: 5+ years (Relevant AI Development Experience) Work Mode: Hybrid (On-site & Remote) Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of 4 years of relevant experience in AI/ML development. Strong experience in building software application using Frontend and Backend tools with AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, React, Node or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Hybrid work model based in Pune.

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Free Skill Development Program – Only for Bihar Candidates Offered by BSDM (Bihar Skill Development Mission) 100% Free | 3-Month Residential Training in Noida Courses: AI DevOps AI Database Administrator AI Data Quality Analyst Benefits: Free training Free stay and food Job placement support Eligibility: Must be from Bihar (Domicile proof needed) Diploma/BCA/B.Tech in IT, CS, or ECE Only pass-out students can apply Location: Noida Cost: Completely FREE How to Apply: Send your Resume, Degree/Diploma Certificate, and Aadhaar Card to [email protected] Only Bihar candidates will be considered. Learn AI skills for free and build your career! Job Types: Full-time, Fresher, Internship Contract length: 3 months Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

Role Responsibilities: As an SAP S/4HANA ABAP Consultant, you will be a key player in the design, development, implementation, and migration of SAP S/4HANA solutions. You will leverage your strong technical expertise in Core ABAP and S/4HANA technologies to deliver high-quality solutions that meet our clients' business needs. Your responsibilities will include: Participating in the full project lifecycle, from requirements gathering to post-go-live support, with a focus on ABAP development within the S/4HANA environment. Developing and implementing solutions using Core ABAP and Object-Oriented ABAP (OOABAP). Leading or actively contributing to S/4HANA implementation and migration projects. Demonstrating strong hands-on experience and in-depth knowledge of modern ABAP development paradigms such as OData, CDS Views, ABAP Managed Database Procedures (AMDP), and the ABAP RESTful Application Programming (RAP) model. Utilizing the SAP Enhancement Framework to implement custom enhancements. Developing user interfaces and functionalities using Dialog Programming, Smart Forms, SAP Script, and User Exits. Working extensively with SAP Dictionary objects (Tables, Fields, Domains) and creating Search Helps. Developing and consuming various SAP integration technologies including Business Add-Ins (BADIs), Data Interfaces, Remote Function Calls (RFC), Application Link Enabling (ALE), Application Log (ALV), Intermediate Documents (IDocs), Batch Data Communication (BDC), Business Application Programming Interfaces (BAPI), BDC, Legacy System Migration Workbench (LSMW), and Web-UI. Analyzing and optimizing ABAP code for performance using tools like SQL Trace and SAP Runtime Analysis. Debugging ABAP code effectively to identify and resolve issues. Developing various types of reports and performing modifications and support for both customized and standard SAP programs. Implementing and consuming web services (SOAP/REST/HTTP POST). Collaborating effectively within a team-oriented environment. Demonstrating a strong sense of ownership and commitment to delivering results independently. Applying creative and analytical problem-solving skills. Exhibiting excellent leadership, communication (written and oral), and interpersonal skills. Adhering to and contributing to established development guidelines and quality standards. (Good to have) Exposure to SAP Business Technology Platform (BTP), SAP Fiori, SAPUI5, Machine Learning (ML), and Artificial Intelligence (AI) concepts. Qualifications and Experience: Bachelor's degree in Engineering (BE/BTech) or Bachelor of Arts (BA). Minimum of 5 years of hands-on experience in SAP ABAP development. Proven experience in at least one S/4HANA implementation or migration project is mandatory. Solid understanding of SAP development best practices and methodologies. Excellent analytical and problem-solving abilities. Strong communication and interpersonal skills. Ability to work effectively both independently and within a team.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams.

The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Design, develop, and maintain high-performance micro services using Java Spring Boot, ensuring scalability, reliability, and security. Integrate Generative AI capabilities into our applications, enabling natural language processing, machine learning, and other AI-driven functionalities. Gather requirements from stakeholders across the company to build web applications that leverage AI solutions. Architect web applications that utilize Generative AI capabilities to solve marketing team challenges. Collaborate closely with cross-functional teams, including front-end developers, data scientists, and other stakeholders, to understand and address business requirements. Develop and maintain efficient APIs to connect various components and services within the ecosystem. Optimize and fine-tune code for maximum efficiency and performance. Implement best practices for version control, continuous integration, and continuous deployment (CI/CD). Contribute to the documentation of code, APIs, and technical design for reference and knowledge sharing. Monitor and evaluate the performance of web applications hosted on cloud platforms. Stay up-to-date with the latest trends and developments in the Java ecosystem and AI technologies. Technical and Functional Skills: Bachelors degree in computer science, software engineering, or a related field is preferred. 7+ years of proven experience in Java Spring Boot development, including micro services architecture and development. Strong experience in Spring Core, Spring Security, Spring Web, Spring Data, and other Spring frameworks. Strong experience in UI frameworks HTML, CSS, JavaScript, React or Angular, jQuery, AJAX, JSON, XML, etc. Strong proficiency in RESTful API design and development. Strong knowledge of data structures, algorithms, and design patterns. Proficiency in version control systems, such as Git. Excellent problem-solving skills and the ability to work independently and in a team.. Strong communication skills, both written and verbal.

The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions