Data Scientist (Python, ML, SQL) in Bengaluru, India - Jobeax
Vacancy description
Data Scientist (Python, ML, SQL) in Bengaluru, India
IMI
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
IMI plc We are a global specialist engineering company that creates breakthrough solutions. We are seeking a highly skilled and motivated Data Scientist with AI expertise and 6+ years of experience to join the Digital Solutions team. The role will drive business value through advanced analytics, machine learning, artificial intelligence, and data-driven decision support across enterprise processes. The successful candidate will partner with business stakeholders, data engineers, software developers, and digital transformation teams to identify opportunities, design AI-powered solutions, and deploy scalable models into production. The role requires a strong blend of hands-on data science, Generative AI, cloud technology, stakeholder engagement, and practical delivery experience. AI & Machine Learning Development Design, develop, and deploy machine learning and AI solutions to address complex business challenges. Build predictive, prescriptive, and classification models using structured and unstructured data. Develop and optimize Generative AI solutions, including LLM-based applications, RAG architectures, AI assistants, and intelligent automation workflows. Evaluate, monitor, and continuously improve model performance and accuracy. Data Science & Analytics Perform exploratory data analysis to identify trends, opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, governance, and compliance standards are maintained across analytical solutions. Support deployment, monitoring, and lifecycle management of AI and machine learning models. Digital Innovation & Automation Identify opportunities to leverage AI, automation, and advanced analytics to improve productivity and business performance. Drive innovation initiatives utilizing emerging technologies such as Generative AI, Agentic AI, Computer Vision, NLP, and Intelligent Automation. Contribute to enterprise AI strategy, standards, and best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science libraries. Strong experience with machine learning, deep learning, and statistical modelling. Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering. Experience with Microsoft Azure cloud platform, AWS and Google Cloud would be added advantage. Knowledge of MLOps, model deployment, monitoring, and automation frameworks. Ability to solve complex business problems using data-driven approaches. Strong quantitative reasoning and statistical analysis capabilities. Ability to align AI initiatives with business outcomes and ROI objectives. diversity is very important to us, and we want to receive applications from people
... Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, with a focus on ADF, Pyspark, Python, and SQL.- Proficiency in SQL and experience with programming languages such as Python or Scala.- Familiarity with Azure data services, including Azure Data Lake, Azure SQL Database, and Azure ...
... infrastructure and best practices Strong proficiency in Python and SQL Experience working with PostgreSQL and at least one of MSSQL or MySQL Hands-on experience with data analysis libraries such as Pandas and NumPy Experience building evaluation, testing, or validation pipelines for AI, ML, or data-driven applications Familiarity ...
... exploratory data analysis, cross-validation, reproducible research, structured reporting/documentation in Experience designing, deploying, and operating scalable ML systems in production. includes responsibility for model selection, performance benchmarking, and lifecycle Proficiency in Python and general ML ecosystem tooling ...
Material Scientist Position Overview We are looking for a driven and creative Materials Scientist to support the development of advanced diamond tools and to lead cutting-edge materials research. This role plays a vital part in innovating our products by exploring material structures, behaviors, and applications, particularly ...
... https://jobeax.com/link/ao2QBbKt4vW7ruJ1 Technical Requirements : - 4 to 9 years as an AI/ML engineer with production systems behind you.- Depth across the modern AI stack : LLMs, speech models, vector retrieval, model serving.- Strong software engineering skills.- Fluency in Python and the production ML ecosystem. (ref:hirist.tech)
... production-grade AI solutions. The ideal candidate should have strong experience across RAG, AI Agents, LLMs, vector databases, Python, FastAPI, cloud deployment, and MLOps/LLMOps.Key Responsibilities : - Design and build production-grade RAG pipelines, including document ingestion, preprocessing, chunking, metadata enrichment, ...
... production-grade AI solutions. The ideal candidate should have strong experience across RAG, AI Agents, LLMs, vector databases, Python, FastAPI, cloud deployment, and MLOps/LLMOps.Key Responsibilities : - Design and build production-grade RAG pipelines, including document ingestion, preprocessing, chunking, metadata enrichment, ...
... and continuous https://jobeax.com/link/3xbFxX8WP3q0lvhS Skillset : - Demonstrated expertise in building end-to-end automation frameworks using Playwright and Python within a fast-paced SaaS environment.- Proven ability to design and execute test strategies for AI/ML-based applications, including data validation and model ...
... utilization, and resource consumption. - Containerize ML workloads using Docker and deploy/manage them using Kubernetes/Amazon EKS. - Collaborate with Data Scientists, ML Engineers, DevOps teams, and other stakeholders to build scalable and reliable AI/ML solutions. Requirements - Strong programming experience in Python . - Hands-on ...
... interfaces, dashboards, and reports using Oracle APEX.- SQL & PL/SQL Development : Develop efficient SQL queries, stored procedures, functions, packages, and other database components using SQL and PL/SQL.- AI Application Integration : Integrate Python-based AI services and agentic workflows with Oracle databases and APEX applications ...
... interfaces, dashboards, and reports using Oracle APEX.- SQL & PL/SQL Development : Develop efficient SQL queries, stored procedures, functions, packages, and other database components using SQL and PL/SQL.- AI Application Integration : Integrate Python-based AI services and agentic workflows with Oracle databases and APEX applications ...
... interfaces, dashboards, and reports using Oracle APEX.- SQL & PL/SQL Development : Develop efficient SQL queries, stored procedures, functions, packages, and other database components using SQL and PL/SQL.- AI Application Integration : Integrate Python-based AI services and agentic workflows with Oracle databases and APEX applications ...
... across the data space. 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models - 3+ years of experience in Python and SQL - Experience using Databricks platform and PySpark is a must. - Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event ...
... practices is a strong plus. - Strong consulting / customer-facing experience working with external clients across a variety of industries. - Coding experience in Python, SQL, Scala, Java, or R. - Experience building distributed data systems at enterprise scale. - Hands-on experience with at least one major public cloud (AWS, ...
... and optimize microservices that power high-performance data and embedding pipelines, handling up to 10 million rows and feeding vector stores - Proficiency in Python, Java, and JavaScript, with strong Python skills for the ML/AI ecosystem - Experience with RESTful and streaming APIs, model/inference endpoints, web services, ...
... hands-on experience with LLMs and LLM-based applications.- Experience with RAG, embeddings, vector databases, prompt engineering, and AI agents.- Experience with AI/ML frameworks and model development libraries.- Strong software engineering fundamentals including APIs, microservices, databases, and distributed systems.- Experience ...
... M.Sc., or related programs. 2. Strong interest in artificial intelligence, machine learning, and generative AI. 3. Knowledge of one or more of the following, Python, machine learning, artificial intelligence, deep learning, natural language processing (NLP), data science, SQL, or generative AI. 4. Strong analytical, logical ...
... Managing keys, endpoints, and access control. Core Python: Data structures, OOP, exception handling. API Integration: Consuming REST APIs (e.g., Azure SDKs). Data Processing: Using pandas, NumPy, and json for data manipulation. AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs. Required Skills ...
... The AI Engineer is an ML engineer responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how Lyric searches and analyzes complex medical and insurance data. Essential Job Responsibilities & Key Performance Outcomes Data engineering: ...
... from data and training through evaluation and production serving , with models running inline in Go-based gateway and endpoint services. We're looking for an ML Engineer who cares as much about latency, reliability, and production performance as model quality, and who is comfortable working across both Python and Go . ...