1,582 data science machine learning jobs in Bombay, India.

AbbVie seeks a Medical Science Liaison for its Oncology division based in Mumbai. This Medical Affairs role involves engaging with healthcare professionals to support clinical education and evidence-based medicine in cancer care. Responsibilities - Provide scientific and medical information to healthcare professionals - ...

... insights - Experience in Data Intelligence / Business Intelligence environments - Exposure to cloud platforms (Azure, AWS, or GCP) - Experience working with large datasets and data warehousing concepts - Basic understanding of machine learning concepts (optional but desirable) Additional Information - Great compensation package ...

... Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics ...

Branch Overview Branch is a leading AI-powered lending fintech with 50M+ downloads across India and Africa. We use alternative data and machine learning to expand financial access for millions of people traditionally excluded from the formal financial system. Founded by the former CEO of https://jobeax.com/link/gUzOnmo28M2CSXZz ...

... through publications or impactful open-source contributions. Preferred - Experience in scaling laws and training-efficiency research . - Knowledge of curriculum learning and data ordering. - Skills in model evaluation , uncertainty estimation , and model calibration . - Expertise in data augmentation and synthetic data for robustness. ...

... and take action to make their community better, it’s an incredible feeling for everyone involved. Here's how you can help -- we are currently looking for a Learning & Development Programs Coordinator to join our team, rise to the challenge of empowering service, and fill a vital role in our Leadership Development Division ...

... Fabric.- Experience with Power BI, DAX, SSRS, and SSAS.- Exposure to Machine Learning principles and integrating ML workloads into data pipelines.- Familiarity with Data Governance frameworks and enterprise CI/CD processes.- Background or interest in Developer Advocacy, technical community engagement, or internal Data Engineering ...

... solutions, evaluation rubrics, and technically rigorous scientific explanations. - Apply computational expertise to improve AI performance on complex materials science problems. Qualifications Must-Have - PhD in Computational Materials Science , Materials Science and Engineering , Computational Chemistry , Condensed Matter ...

... skew, IV crush and realised-vs-implied volatility . - Generate and evaluate signals using technical, derivatives and market-microstructure data. - Work with datasets including Open Interest, PCR, OI changes, basis, price/volume and intraday data . - Use statistical modelling, time-series analysis and machine learning for ...

... that enhance investment outcomes and create a more scalable and consistent investment process. You will require comfort leveraging artificial intelligence and machine learning technologies to enhance investment research and portfolio construction workflows. You will identify opportunities to apply intelligent automation tools ...

Branch Overview Branch is a leading AI-powered lending fintech with 50M+ downloads across India and Africa. We use alternative data and machine learning to expand financial access for millions of people traditionally excluded from the formal financial system. Founded by the former CEO of https://jobeax.com/link/gUzOnmo28M2CSXZz ...

... seamless data flow and process continuity. - Cross functional alignment and bring industry best practices - Evaluate, architect, and implement modern AI and Machine Learning capabilities within SAP - Stay ahead of SAP product roadmaps (S/4HANA updates, BTP innovations) to continuously modernize business processes. - Manage ...

... security, identity, governance and FinOps. · Enterprise integration: API management, event-driven integration, middleware and interface governance. · Data platforms: data lakes, data warehouses, metadata, data quality, data governance, ETL and SQL. · Analytics platforms involving advanced statistical or machine-learning techniques. ...

... Office (CAO). The team manages the organization’s data assets and delivers innovative automated solutions to drive business objectives. By establishing robust data repositories and leveraging advanced analytics, data visualization, machine learning, and automation tools, CDAO enables data-driven decision-making and operational ...

... Conceptualizing, Designing, Coding, debugging.- Prior Background in AI, ML, Deep Learning, Image processing and computer vision is preferred.- Strong in algorithm design, database programming (RDBMS), and text analytics.- Knowledge of NoSQL and Big Data technologies like MongoDB, Apache Spark, Hadoop stack, and Python data science stack ...

... observations into concise reporting for leadership - Lead change management initiatives from requirement through implementation - Leverage artificial intelligence and machine learning tools for anomaly detection, data validation, and root cause analysis Required qualifications, skills, and capabilities: - Demonstrate 9+ years of ...

... Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Biology / environmental science Evaluator Type: Contract Compensation: $80–$120/hour Location: Remote Role Responsibilities - Evaluate AI-generated artifacts against domain-specific quality ...

About the Role:We are looking for an experienced AI/ML Engineer to develop and deploy machine learning solutions for a large-scale analytics https://jobeax.com/link/gFvV6IB1kex3UOLO Responsibilities:- Own and deliver multiple AI/ML use cases.- Design, train and deploy ML models using AWS SageMaker.- Monitor model performance, ...

... Brokerage business. The role will combine data management, business intelligence, customer lifecycle management (CLCM), campaign and marketing execution, and applied data science. The role holder will own the operational flow of customer and campaign data across the lifecycle — from data ingestion and quality controls through segmentation, ...

... collaboratively. What You Will Gain - Exposure to real‑world assignments in diligence, compliance and business intelligence . - Experience working with industry‑leading databases and research tools. - Skills in data analysis, OSINT research, information validation, and professional report writing . - Mentorship and learning opportunities ...