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
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... Hands-on experience with AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.- Experience with relational, NoSQL, and vector databases, including SQL Server, PostgreSQL, MongoDB, Cosmos DB, and Azure AI Search or comparable vector technologies.- Strong understanding of Azure ...
... Hands-on experience with AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.- Experience with relational, NoSQL, and vector databases, including SQL Server, PostgreSQL, MongoDB, Cosmos DB, and Azure AI Search or comparable vector technologies.- Strong understanding of Azure ...
... Hands-on experience with AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.- Experience with relational, NoSQL, and vector databases, including SQL Server, PostgreSQL, MongoDB, Cosmos DB, and Azure AI Search or comparable vector technologies.- Strong understanding of Azure ...
... some exposure to the trade-offs between RDF triple stores and property graph databases is a plus. - Exposure to modern GenAI concepts - RAG, embeddings, vector databases, semantic retrieval - through coursework, research, or hands-on experimentation. - Solid Python and SQL skills some experience with ML libraries such as ...
... speech technologies (ASR, TTS) or evaluation pipelines. • Experience with quality metrics such as WER, CER, MOS, or latency tracking. • Hands-on familiarity with SQL, Python, or ML toolkits. Why Sarvam? Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers ...
... informative data visualization D. in Statistics, Biostatistics, Data Science, or a closely related quantitative field. Technical & Statistical Software Proficiency in Python, Spark, SQL, Artificial intelligence and Machine learning Experience working with cloud-based or big data technologies (e.g. Databricks, Airflow, AWS) Ability ...
... experience, with at least 2 years in an Engineering Manager / Technical Manager role.- Strong hands-on background in software engineering, with exposure to Python, AI/ML, or data engineering.- Experience working in a global onshore - offshore delivery model.- Solid understanding of Python, AI/ML concepts, cloud platforms ...
... digital twin solutions. Support pre-sales teams in positioning Omniverse and digital twin offerings. Work with AI/ML, IoT, and visualization teams to integrate data streams and simulation models into Omniverse environments. Lead integration of Omniverse with Unity/Unreal, Python APIs, and AI-driven analytics tools. Build ...
... on complex analytical https://jobeax.com/link/BboUYfZsr20JJAWi Skills :- Advanced knowledge of statistical analysis tools and programming languages such as Python, R, SAS, SQL, etc.- Strong understanding of AI/ML techniques and their applications in decision https://jobeax.com/link/sNo0ggzHSJ4J2cMv and Leadership :- Excellent ...
... contributing to the advancement of our AI capabilities. Key Responsibilities: Design, develop, and implement generative AI applications using Python and GCP's AI/ML services (e.g., Vertex AI, GenAI APIs, Google Kubernetes Engine, Cloud Functions, BigQuery). Collaborate with product managers, data scientists, and other engineers ...
... accelerated development. Act as a bridge between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership. AI Powered Tech Talent. Key Responsibilities Solution Architecture Define end-to-end architecture for full-stack enterprise ...
... analytical reports. - Work with SAP BW to understand data structures, data flows, queries, InfoProviders and reporting layers. - Extract, validate and reconcile data from SAP BW and other data sources . - Perform data quality checks, validation and root-cause analysis for reporting/data issues. - Write complex SQL queries ...
... analytical reports. - Work with SAP BW to understand data structures, data flows, queries, InfoProviders and reporting layers. - Extract, validate and reconcile data from SAP BW and other data sources . - Perform data quality checks, validation and root-cause analysis for reporting/data issues. - Write complex SQL queries ...
... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...
... 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, ...
... 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 ...