22,208 data science machine learning jobs in India.

... used in production trading and research environments. Build scalable infrastructure to support efficient storage, retrieval, and analysis of historical market data. Develop and enhance simulation platforms used for testing and validating trading strategies. Create tools that improve system monitoring, performance measurement, ...

We are looking for a highly motivated Software Engineer with strong fundamentals in data structures, algorithms, and system design. The ideal candidate should have a proven track record of building scalable, high-performance systems and experience working in a fast-paced, collaborative environment. Responsibilities Design, ...

... and IT specialists who aspire to build successful careers with customer satisfaction as their focus. With Tru Performance, you will always gain continuous learning and development opportunities by working on interesting, challenging, and client-facing projects. We are seeking a skilled Full Stack Web Developer with expertise ...

... compliance with industry standards and best practices. Mentor and guide junior team members on testing techniques. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in software testing, with a focus on web and mobile applications. Proficiency in test case preparation ...

... team works on a wide variety of projects, including enhancing counterparty risk metrics, developing tools for collateral and resource optimization, and applying data analysis and machine learning techniques. We are looking to hire highly talented, creative individuals who are enthusiastic about research and eager to contribute ...

... delivery centre operational since 2019, with the Chakan–Talegaon automotive belt inside a morning's drive - Budget for the CRM you choose in month one, plus data, tooling, and events - Prospect, discover, propose, negotiate, win, then grow accounts through cross-sell and upsell. Build the pipeline machine. Build account ...

... CAE automation, regression modeling, and nonlinear system optimization Experience supporting CAE users through training or technical enablement Exposure to Machine Learning/AI for engineering applications Proficiency in analytical tools such as MATLAB or Mathematica Strong Python scripting skills with exposure to CAE automation, ...

... Contribute to automated reporting and narrative insights using Generative AI tools where appropriate. Qualifications Required - Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, Human Resources, or a related field, or an equivalent combination of education and experience. - ...

... Evaluation & Learning (MEL) Define targets and track KPIs such as scan volumes, trained users, site adoption, turnaround time, and pilot-to-scale conversions. Ensure data quality, ethics/IRB adherence, and privacy/security compliance (GDPR/HIPAA/local laws). Lead learning cycles and disseminate insights to improve program effectiveness. ...

... data pipelines at enterprise scale. Owns the strategic roadmap and drives the design, development, deployment, monitoring, and optimization of enterprise-grade data platforms that enable analytics, machine learning, reporting, and operational decision-making across the https://jobeax.com/link/2gAZsTSDAGInG0PI as a senior ...

... learning content (presentations, toolkits, internal communications) - Support the coordination of training sessions, workshops, and events - Conduct research on learning trends, tools, and best practices (e.g. AI in learning, modern LXP platforms) - Analyze learning data and prepare reports and insights - Contribute to improving ...

Flexible hours

... Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize deep learning architectures for Computer Vision and NLP tasks. ...

... Proficiency with Python and basic libraries for machine learning such as scikitlearn and pandas Knowledge to create code to perform log analyser and create structured data Ability to use various ML algorithm supported by MLlib Develop machine learning algorithms and tools Select appropriate datasets and data representation methods ...

... and continuous improvement. - Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring Required Qualifications - 7+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, ...

... help advertisers meet clear objectives and guide customers to the right inventory when needed. Their work spans frontend applications, backend services, APIs, data pipelines, and current engineering techniques. As Director, Ads & MarTech Engineering, you will lead a Bengaluru engineering unit focused on building and improving ...

... Object-Oriented Programming (OOP) principles. Bachelor's degree in Computer Science or a related field. Experience working with modern .NET frameworks. Solid foundation in data structures, algorithms, and object-oriented design principles. Basic understanding of cloud platforms such as AWS or Azure. Familiarity with relational databases ...

... Experience: At least 15+ years overall work experience and 5+ years as a Test architect in mobile application domain (Android & iOS) Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Scripting & Automation - Proficiency in Python, Appium, Selenium - Agile Methodology - Data Analysis ...

... Description We are seeking a highly experienced Principal MLOps Engineer with 5–10 years of industry experience to lead the design, deployment, and optimization of machine learning infrastructure. This role requires deep expertise in Kubernetes (K8s), cloud-native technologies, and scalable ML systems. The ideal candidate will ...

... stream pipelines, and performance tuning. - Exposure to distributed systems or cloud-based data platforms (AWS, GCP, or Azure) is a plus. - Work on internet-scale data systems – billions of rows processed on a regular basis. Solve high-impact problems at the intersection of advertising, machine learning, and data platforms.