1566 Machine Learning Jobs - Page 2

Roles & Responsibilities: Lead end-to-end research initiatives in medical/biomedical domains, including hypothesis formulation, study design, and interpretation. Apply advanced mathematics, biostatistics, modelling, and statistical inference to analyse medical or biomedical datasets. Develop and implement Python-based data pipelines , exploratory analysis, and model development. Build, evaluate, and optimize Machine Learning and Deep Learning models for research insights, biomarker identification, and healthcare signal analysis. Conduct systematic literature reviews, scientific evidence synthesis, and meta-analysis to support scientific positioning and product decisions. Translate research o...

Roles & Responsibilities: Lead end-to-end research initiatives in medical/biomedical domains, including hypothesis formulation, study design, and interpretation. Apply advanced mathematics, biostatistics, modelling, and statistical inference to analyse medical or biomedical datasets. Develop and implement Python-based data pipelines , exploratory analysis, and model development. Build, evaluate, and optimize Machine Learning and Deep Learning models for research insights, biomarker identification, and healthcare signal analysis. Conduct systematic literature reviews, scientific evidence synthesis, and meta-analysis to support scientific positioning and product decisions. Translate research o...

Fill below mandatory link. MLOPS-- interview with Capgemini, Sat 31st Jan 2026, face to face only Fill out form Your Role Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools Develop and maintain CI/CD pipelines for ML workflows Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe) Optimize ML infrastructure for performance, scalability, and cost-efficiency Your Profile Strong programming skills i...

Senior Data Scientist We are looking for a highly skilled and intellectually curious Senior Data Scientist with 10+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, collaborative mindset, and potential to lead a technical team. Key Responsibilities Design, develop, and deploy ML models using classic...

Roles and Responsibilities Design, develop, test, and deploy AI models using various machine learning algorithms such as regression, classification, clustering, etc. Develop deep learning models including CNNs, RNNs, LSTMs, GANs for image processing, natural language processing, speech recognition tasks. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Conduct data analysis and visualization to identify trends and insights from large datasets. Stay up-to-date with latest advancements in artificial intelligence research and apply them to real-world problems. Desired Candidate Profile 5-10 years of experience in Artificial Intelligence or related field. ...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

As an AI Back-End Developer specializing in Artificial Intelligence for IBM Z, you will work in an agile, collaborative environment to design, code, and deliver opensource solutions to AI frameworks. You will employ IBM's Design Thinking to create solutions that provide a great user experience along with world-class quality, resiliency, performance, security, and stability. Your primary responsibilities will include: Design and Develop Solutions: Design, code, debug, test, and deliver creative solutions to problems and requirements in AI frameworks. Collaborate with Teams: Work in an agile, collaborative environment to understand requirements and deliver high-quality solutions that meet clie...

Our team builds and maintains, a performant, distributed cluster orchestrator that supports heterogeneous workloads including containerized applications, VMs, batch processing, and machine learning frameworks. Our customers run Nomad on tens of thousands of nodes, and rely on our tools to operate their own infrastructure and software. The Nomad Engineering team cares deeply about reliability, performance, and the usability for our users. Some of the future challenges for our team include: Building an extensible orchestration platform for a variety of runtime drivers, devices and logging. Advanced scheduling use cases such as managing dependencies between tasks, oversubscription and rebalanci...

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporatin...

As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization. Your primary responsibilities will include: Develop Machine Learning Solutions: Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development. Evaluate Algorithm Performance: Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs and drive informed decision-making. Communicate Results:...

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a...

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solut...

Primary Skills Azure Data Factory, Azure Synapse Analytics, Azure Databricks : Extensive experience in building and managing scalable data pipelines for data integration, transformation, and analysis. Azure Data Lake Storage, Azure SQL Database : Proven ability to manage and optimize data storage solutions, ensuring data accessibility and reliability. Azure Machine Learning : Expertise in developing, training, and deploying machine learning models using Azure''s machine learning tools and services. Data Warehousing Data Modeling : Strong experience with designing and maintaining data warehouses, with deep understanding of ETL processes and data models. Programming in Python : Skilled in writ...

We are seeking a motivated and technically skilled professional to join our AI and Data Science development team. As a Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work in a global organization to build models helping to create predictive models, generate insights and help optimize company perfo...

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big ...

We are seeking a motivated and technically skilled professional to join our AI and Data Science development team. As a Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work in a global organization to build models helping to create predictive models, generate insights and help optimize company perfo...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

JD for Data Scientist Hands-on experience with data analysis tools: Proficient in using tools such as Python and R for data manipulation, querying, and analysis. Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling. Skilled in machine learning and predictive analytics: Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch. Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights. Expertise in big data technologies: Proficient in handling large datasets using big data tools such as Spa...

We are looking for a Generative AI Developer who can design and implement GenAI-powered features , develop intelligent AI agents , and deploy end-to-end GenAI solutions leveraging cloud AI services. This role focuses on solution integration and orchestration , not model training, and requires hands-on experience with platforms like GitHub Copilot , GHCP , and enterprise-grade AI ecosystems. Key Responsibilities Develop GenAI-driven features for applications and workflows. Build and integrate AI agents for automation and conversational interfaces. Deploy GenAI solutions (not raw models) into production environments ensuring scalability and security. Work with cloud AI services (Azure OpenAI, ...

Role Overview We are looking for an experienced Lead Engineer (8 - 10 Years) with strong expertise in Python, AWS Cloud, Generative AI, and hands-on experience in RAG (Retrieval Augmented Generation), Agentic workflows, and building LLM-powered applications. The ideal candidate will lead design, architecture, and development of scalable AI solutions, mentor the team, and collaborate closely with product and architecture teams. Key Responsibilities 1. Architecture, Design & Technical Leadership a. Lead end-to-end design and development of GenAI-powered applications. b. Ability to understand and translate customer requirement into scalable AI architectures and meaningful design leveraging clou...

Hiring for Datascience / Gen AI with experience range 5 to 8 years Mandatory Skills: Java, Natural Launguage processing and Airitifical intelligence Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will ...

Job Profile At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability. As part of the AI Technology group (70 people), we are seeking an ML engineer who can contribute to the development of our AI platform, which is used by our internal stakeholders to design and deploy AI use cases for our external offers and internal functions. We look for someone who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of AI soft...

Role - AI ML Developer Skill - AI/ML, Deep learning Location - Hebbal (Bangalore) Education - BE/BTECH/MTECH/MCA/MSC Experience - 4-6 yr JD: 1 Design, Build and deploy Deep learning and computer vision models and algorithms to solve business problem 2 Monitor and evaluate performance of deployed models and make improvement to ensure accuracy and reliability. 3 Keep up with latest research and trends in Machine learning Artificial intelligence. Explore and implement new techniques and technologies to enhance model performance.

Job Overview: At TE , data and AI are core strategic enablers of future growth. We are building a world-class Advanced Analytics capability to solve complex business challenges and drive topline growth and operational efficiency across business units. The Data & AI teams are part of the TE Information Solutions (TEIS) organization, focused on building scalable AI-powered solutions using intelligent agents and automated workflows. The Senior Data Scientist Agentic AI & Workflow Automation will lead the design and deployment of autonomous AI agents and orchestrated workflows, leveraging cutting-edge Generative AI and Large Language Models (LLMs) to enable enterprise-wide automation and decisio...

Python developer who can build demos/ POCs in AI Developer for AI development with proficiency in Claude Code, Vibe Coding platforms with knowledge in Python/Java, expertise in Machine Learning and Deep learning framework, good understanding of Cloud Platforms AWS/GCP/Azure, Ability to make POV, and build AI solutions. Able to work with any technology along with AI Good understanding of AI Frameworks ( LangChain, Autogen, CrewAI, Agent Dev Kits) Good understanding of Natural Language Processing Experience in Prompt Engineering Knowledge of data handling and preprocessing for AI Knowledge in building AI Model Ability to drive and lead solutions for Headless Architecture pattern Good experienc...