Top Machine Learning Engineer Jobs in Mumbai

Design, build, and operationalize ML and deep learning solutions including supervised/unsupervised models and LLM fine-tuning. Implement RAG, vector DBs, prompt engineering, deploy on cloud (AWS/Azure), set up experiments, and present technical findings while partnering with business stakeholders.

As a Vice President Data Analyst at Citi, you will lead a team in developing advanced data analytics solutions, integrating AI/ML strategies for risk management, while ensuring data governance and delivering impactful presentations to stakeholders.

Design and build scalable production systems and data pipelines to support GenAI and ML models. Collaborate with data scientists to integrate NLP and deep learning models into backend services, ensure code quality, security, and performance, and lead backend ownership for AI/ML projects.

Build and deploy predictive maintenance and smart manufacturing ML solutions using Python and IoT sensor data. Design data pipelines, perform time-series analysis, feature engineering, and deep learning to detect anomalies and forecast equipment failures. Collaborate with engineering and operations to define KPIs, validate models, and implement end-to-end real-time and batch monitoring systems.

Design and build ML models and ensembles, preprocess structured and unstructured data, automate data collection, visualize insights, propose business solutions, and collaborate with engineering and product teams.

The intern will design and implement high-frequency trading algorithms, analyze market data for patterns, and develop tools for data analysis.

Drive post-sale adoption and consumption of Salesforce Data Cloud and Agentforce by partnering with customers and account teams, creating consumption plans, providing technical architecture guidance, managing executive relationships, and delivering measurable KPIs and enablement to accelerate value realization.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

Support the Business Supervisory Office by performing trade surveillance, transaction monitoring, AML review, and regulatory compliance oversight for US Private Banking. Analyze trade alerts, review customer transactions for money laundering indicators, prepare surveillance reporting, assist with regulatory audits, maintain procedures, and coordinate remediation and control improvements with onshore stakeholders.

Work with the global Quantitative Research Counterparty Risk team to calibrate, monitor and automate risk models, analyze backtesting and P&L attribution, prototype risk-model techniques, build quantitative tools, produce industry trend reports, and support stress-testing for regular and event-driven reporting.

Lead key client accounts for FICO, focusing on strategic partnerships, complex deal structuring, and driving business growth through tailored solutions.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

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.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

The Customer Success Business Partner at Lyric drives customer adoption and retention for strategic accounts, leveraging expertise in AI and supply chain operations.

We are seeking a Director/VP of Sales for the USA market to develop sales strategies, lead a team, drive revenue, and build customer relationships in the cybersecurity sector.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

Build and maintain AI-powered automation frameworks and developer tools for large-scale distributed systems. Collaborate with engineering and QA to embed LLM-based utilities, optimize SDLC and testing, and research/implement cutting-edge AI solutions to improve Akamai's delivery and edge services.

Lead the risk product suite roadmap and execution for merchant onboarding, fraud prevention, and credit risk. Manage a risk engineering and data science squad, build real-time risk engines and ML models, optimize KYC/KYB onboarding flows, and develop lending/settlement risk models to minimize financial loss while preserving merchant and buyer experience.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

Oneture Technologies is seeking technology professionals across various skill areas including Software Engineering, Frontend & Full Stack, Data & AI/ML, and Cloud & DevOps to help build digital solutions.

The role involves leading product strategy and development for balance sheet management solutions using AI and analytics, collaborating with senior stakeholders, and mentoring teams in product management best practices.