USEReady Technology - Senior Data Scientist - AI/ML in Bengaluru, India
USEReady Technology Pvt. Ltd.
India, Bengaluru
USEReady Technology - Senior Data Scientist - AI/ML in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 Responsibilities : - Design and implement advanced machine learning, Gen-AI, and Agentic AI based solutions.- Apply GenAI and Agentic AI techniques to enhance decision-making workflows.- Collaborate with sales and presales teams to craft proactive solution pitches for clients.- Drive innovation in MLOps practices for scalable model deployment and monitoring.- Conduct research on emerging AI technologies and integrate them into solutions.- Mentor junior team members and foster a culture of continuous learning.- Ensure compliance with AI governance and ethical https://jobeax.com/link/NKlt3YnZFxTxA2qx Qualifications : - Bachelors or Masters or Ph.D. in Data Science, Machine Learning, or related field.- 6+ years of experience in data science and AI/ML model development.- Expertise in NLP, deep learning, and advanced ML frameworks (TensorFlow, PyTorch).- Hands-on experience with Generative AI and Agentic AI.- Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).- Proficiency in Python and SQL; familiarity with MLOps tools (MLflow, Kubeflow) and LLMOps tools (LangSmith, LangFuse).- Knowledge of Snowflake would be https://jobeax.com/link/Ailz6EX3N0CtKawJ Competencies : - Strategic thinking and problem-solving.- Excellent communication and stakeholder engagement skills.- Ability to lead complex projects and deliver business impact. (ref:hirist.tech)
... with a team of expert Data Analysts/Scientists/Engineers and a team of expert and dedicated developers. The key focus of this role is yield optimisation, using data science to improve yield, consistency, forecast accuracy, and explainability. There is significant potential for the right person to make a real difference in ...
... the trusted technical advisor to client technology and business https://jobeax.com/link/EnCWxVsrOA3PLZCF Data & AI Architecture : - Design modern AWS-native data platforms including ingestion, storage, transformation, governance, semantic layer, and data products.- Architect enterprise data products using domain-driven ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...
... solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ML pipelines, including model training, evaluation, and serving in production environments. - Monitor and maintain deployed models to ensure robustness, scalability, ...
... version control and code review. - Strong SQL skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge ...
... problems and translate ML capabilities into measurable outcomes Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI Advanced degree ...
... fintech and lending company that provides funding solutions to businesses across multiple industries in the United States and UK. Cashera combines technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide. As a Senior Data Scientist ...
... location features from heterogeneous sources, building geospatial ML models (site selection, sales forecasting, catchment and propensity), cleaning and fusing data, and working with our full-stack engineer to ship models and attributes into production https://jobeax.com/link/VoyCnXzhDVNYfxLN is a build role, not a maintenance ...
... evaluation. - Experience building multi-agent systems using frameworks such as CrewAI, LangChain/LangGraph or similar. - Familiarity with vector databases and embedding pipelines. - Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/Databricks).
... Experience working with large, complex datasets in cloud-based or big data environments. - Practical understanding of Nixtla library is a plus. - Experience with MLOps , model monitoring, and CI/CD pipelines. Domain Knowledge Strong Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales ...
Partner with Product to spot high-leverage ML opportunities tied to business metrics. build reliable features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering ...
... collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Responsible to design, build, refactor, and maintain ...
... a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates. The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences ...
... explainability, and business outcomes Contribute to best practices for model governance, feature lineage, documentation, testing, interpretability, and responsible AI Guide technical decisions on ML solution design, operationalization patterns, and production support expectations Mentor other data scientists and ML engineers ...
... Analytics and Technology solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will ...
... high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end developers to support seamless integration between React - based user interfaces and backend services. Develop and maintain CI/CD pipelines to automate application deployment and release ...
... Glue Data Catalog, DataHub, or Amundsen is a plus. - Familiarity with Docker, ECS, or EKS and containerised deployments is desirable. - Basic understanding of AI/ML data requirements and workflows is an advantage. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...