Data Scientist (AI/ML) in Bengaluru, India

• Hybrid
• On-site

Role Summary We are hiring a hands-on Senior Data Scientist / AI Engineer to design and productionize AI capabilities for automated understanding and validation of complex 2D engineering drawings. The role combines Computer Vision, OCR/Document AI, multimodal LLMs, RAG/Graph-RAG, Knowledge Graphs and deterministic engineering ...

• Remote
• Contract

Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze large-scale traffic data, ...

• Hybrid
• On-site

Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We ...

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 ...

• Hybrid

... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml

... a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI ...

... Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, monitoring, data quality). Apply data science methods, machine learning tools, visualization and/or statistical techniques along with domain knowledge ...

... Scikit-learn) and statistical analysis. Time series models (Prophet, XGBoost, LSTM for Azure ML). Model performance tracking and retraining strategies using Azure ML. Exposure to AI based solutions in areas of Search, product meta-data generation or discovery. Experience in designing and implementing Data Science best practices ...

Rs 5 - 10 lakhs p.a.

... technologies - Ability to explain GenAI to non-technical audiences across many different industries. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. - Experience in ML Engineering and MLOps, MLFlow - Strong understanding of statistical and machine learning concepts - Experience ...

Rs 5 - 10 lakhs p.a.

... technologies - Ability to explain GenAI to non-technical audiences across many different industries. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. - Experience in ML Engineering and MLOps, MLFlow - Strong understanding of statistical and machine learning concepts - Experience ...

• Hybrid
• Full-time

Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...

$100 USD

... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...

... cross-validation, hyperparameter tuning, feature engineering, and model comparison. Experience selecting appropriate algorithms based on business objectives, data characteristics, interpretability requirements, and model performance. Experience with model interpretability and explainability, using techniques such as SHAP, ...

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...

... personalization.- Perform feature engineering, data wrangling, model selection, hyperparameter tuning, and model evaluation.- Monitor model performance and ensure robust ML lifecycle management using tools like MLflow and Airflow.- Document processes and present insights, findings, and recommendations to both technical and non-technical ...

... 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, ...

... patient behaviour modellingHealthcare recommendation systemsMedical NLP and clinical language understandingData quality and clinical entity modellingFeatures and datasets for foundation and generative AI modelsYou will work closely with ML engineers, clinicians, product managers and data engineers to take ideas from research ...

• Hybrid

Senior Data Scientist About UptimeAI: UptimeAI provides AI reasoning agents that help industrial operations teams make goal-oriented, real-time decisions. Industrial facilities are rich in data but constrained by the expertise required to maintain and interpret it. As experienced engineers retire and operational complexity ...

... personalization.- Perform feature engineering, data wrangling, model selection, hyperparameter tuning, and model evaluation.- Monitor model performance and ensure robust ML lifecycle management using tools like MLflow and Airflow.- Document processes and present insights, findings, and recommendations to both technical and non-technical ...