Top Machine Learning Jobs in Pune

The Director of Data Platform Engineering will oversee the data infrastructure, manage relational databases, lead AI integration, and ensure data governance while fostering a collaborative team environment.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Perform static and dynamic malware analysis, develop detections and protections, analyze IOCs, validate AI/ML outputs, build automation tools, and publish threat research.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

The role focuses on developing analytical data science products, implementing algorithms for insights, and expertise in deep learning frameworks.

The Solution Architect will design, develop and implement cloud-native platforms for fraud detection, balancing technology risks and business needs, while collaborating with stakeholders and ensuring compliance with governance processes.

Build and maintain systems for data collection, storage, processing, and analysis. Design data architectures and collaborate with data scientists for model deployment.

Lead design, build and maintain data architectures, pipelines, warehouses and lakes; develop processing and analysis algorithms; collaborate with data scientists to deploy ML models; manage risk and lead teams or projects.

Lead and develop engineering teams for deep learning solutions. Focus on TensorRT and benchmarking. Drive technical leadership and oversee GPU deep learning implementations.

The Data Engineer will build and maintain data architectures, pipelines, warehouses, and lakes, ensuring data accuracy and security. They will collaborate with data scientists and oversee operational processes within the team, driving continuous improvement.

As a Technical Support Intern, you'll monitor and troubleshoot customer integrations, manage tickets, communicate with clients, and participate in product training.

The AI/ML Engineer will design, build, and deploy AI solutions to enhance observability and automation. Responsibilities include developing NLP models, generative AI solutions, and AI-driven analytics while collaborating with cross-functional teams.

The Senior Data Scientist will analyze large datasets, develop machine learning models, and automate workflows in Cyber Threat Intelligence, enhancing decision-making.

The AI Data Engineer will build and maintain data systems, design data architectures, collaborate with data scientists, and advise on strategies for data management and governance.

Build, maintain, and improve programming solutions and AI/ML applications to automate workflows, analyze operational data, and optimize processes. Collaborate with cross-functional teams, maintain operational systems, and document technical procedures to support reliable, scalable operations.

Support AI training initiatives by developing and refining financial models, translating market research and due diligence into structured AI training datasets, and partnering with stakeholders to convert complex financial concepts into training inputs. Evaluate and improve AI-generated financial analyses, identify gaps in modeling or valuation assumptions, and contribute strategic insights to enhance AI-powered private equity tools in a fully remote environment.

Create and curate high-quality graphic design datasets and training materials for AI systems. Collaborate with engineers to evaluate and refine AI-generated visuals, document design processes and style guides, and translate design concepts into actionable training data. Stay current with design trends and communicate feedback to cross-functional teams.

Remote neurologist AI trainer who annotates and reviews clinical data, guides ML model training, interprets neurological diagnostics (EEG, EMG, LP), and communicates clinical insights to interdisciplinary teams to improve AI-driven diagnostic and treatment tools.

Design, backtest, and deploy systematic trading strategies; generate alpha using statistical and machine learning models; analyze data to find market inefficiencies; optimize execution and risk management; collaborate with tech and research teams; oversee live strategies and improve performance.

Build and own the central payments and currency platform: design, implement, test, deploy, and maintain distributed services for payments, invoices, multi-currency wallets, conversions, and integrations with banks/gateways. Drive architecture, standardize development and deployment practices, ensure security and scalability, and contribute to product roadmap and team growth.

Entry-level role to develop and implement generative AI and NLP models. Responsibilities include data preprocessing, feature engineering, model evaluation, researching new approaches, writing clean code, and assisting with model deployment and maintenance.

Entry-level role to develop, evaluate, and deploy generative AI and NLP models. Responsibilities include data preprocessing, feature engineering, research on generative techniques, coding, and supporting production deployments.

Entry-level generative AI engineer to build and evaluate ML and NLP models, perform data preprocessing and feature engineering, research generative AI advances, write clean code, and assist with model deployment and maintenance.