Top Machine Learning Jobs in Pune

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 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.

Lead design, build, and operationalize production ML systems (behavioral/anomaly detection, semantic search/embeddings, graph ML, LLM/hybrid solutions). Own end-to-end delivery, set ML engineering standards, ensure MLOps, monitoring, lifecycle management, mentor engineers, and influence cross-team architecture and product strategy.

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.

Design, build and maintain data pipelines, data warehouses and data lakes; implement processing and analysis algorithms; optimize database performance; collaborate with data scientists to deploy ML models; lead teams or projects and influence stakeholders.

The Staff Machine Learning Engineer will architect and implement scalable GenAI platform solutions, ensuring reliability and safe AI experiences across product lines while mentoring engineers and leading technical strategies.

Design, develop, and deploy ML/AI solutions (Computer Vision, NLP, Recommendation Systems). Build and optimize models, implement scalable data pipelines and ML workflows on cloud platforms, collaborate with cross-functional teams, translate business needs into algorithms, ensure secure and performance‑optimized code, and document solutions for stakeholders.

Design and implement scalable cloud infrastructure and CI services on GitHub and Kubernetes to run millions of automated jobs. Work on job scheduling, resource management, automated recovery, metrics/alerting/storage services, and apply ML to improve performance. Collaborate across teams and time zones to deploy features across thousands of servers.

Handle and assess original mechanical engineering research submissions, oversee peer review, make editorial decisions, shape subject representation in the journal, liaise with Nature editors and international experts, and attend conferences and research institutions to build relationships and scout content.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Lead development and productionalize LLM-based ML solutions using Langchain, fine-tuning, and RAG. Write PEP8-compliant Python, use Docker and Git, ensure testing and documentation, and apply traditional ML (XGBoost, K-means). Mentor and deliver production-quality code.

Design, develop, and maintain credit scoring and real-time decisioning models using machine learning and alternative data. Validate models via A/B and back testing, integrate into production, monitor performance, and ensure regulatory compliance while collaborating with engineering and product teams.

Design and own end-to-end solution architectures, translate requirements into technical designs, evaluate technologies, define integrations, guide development and DevOps teams, conduct reviews and POCs, support pre-sales, and ensure compliance with ISO standards.

Lead and deliver multiple software projects, planning schedules, allocating resources, managing stakeholders, tracking risks/issues, ensuring quality/compliance, handling scope changes and escalations, and supporting proposals with estimates.

Drive sales of CCTech digital transformation solutions to AEC, construction, and infrastructure clients. Prospect and manage pipeline, conduct discovery and solution positioning, support pre-sales workshops and proposals, collaborate with engineering teams, and develop strategic accounts focused on BIM, digital twin, automation, analytics, and enterprise integrations.

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.

Design, build, fine-tune, and deploy language and document-understanding models; consult stakeholders to frame requirements; develop analytic plans; collaborate with engineers to integrate models; manage multiple projects and present insights to technical and non-technical audiences.

The GIS Analyst - GeoAI leads Remote Sensing and GeoAI projects, conducting image analysis and developing ML models for geospatial data, ensuring technical excellence.

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.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

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