Top Artificial Intelligence Jobs in Mumbai

As an Engineer I, you will develop high-quality software by gathering requirements, writing code, performing impact analysis, and managing testing phases.

Responsible for executing supplier strategy, managing full sales cycle, and enhancing customer satisfaction through relationship building and operational excellence.

As a Middle AI Engineer/Data Scientist, you will develop AI solutions, analyze text data for NLP and ML models, evaluate model performance, and collaborate with customers and cross-functional teams.

As a Zoom AI DevOps Engineer, you'll design AWS infrastructure, implement Infrastructure as Code, manage deployments, and ensure system reliability and performance.

The role involves reviewing AI-generated code responses, ensuring their technical accuracy and adherence to best practices, and providing feedback for training AI systems.

We seek a Full Stack Web Developer with 8+ years of experience in JavaScript and Python, focusing on backend and frontend development, API creation, and CRM integration in a fully remote role.

The Senior SEO & AI Content Specialist will optimize content for search engines and AI platforms, build AI workflows, and enhance Superside's content strategy.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

The AI Support Engineer II provides technical support for DataRobot's AI Platform, resolving complex customer issues, collaborating with teams, and documenting solutions.

The AI Research Freelancer will design machine learning algorithms, collaborate on research projects, and develop models for educational assessments.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

Seeking a Generative AI Engineer to implement algorithms for business solutions, manage AI workflows, and optimize AI model performance across various industries.

Lead the design process for multiple features, collaborate with engineers, conduct user research, and drive product direction for Sports AI.

The Director/Senior Director of AI will lead a small engineering team, manage AI initiatives, advise on AI strategy, and ensure compliance. Responsibilities include establishing AI practices, scaling the team, and delivering impactful AI solutions across departments.

The Principal AI Researcher will advance Generative AI systems through research, development, and leadership in technical projects, with responsibilities including algorithm design, mentoring, and producing research publications.

The Applied AI Researcher will conduct research to advance AI systems, design and implement methodologies, develop algorithms, and partner with teams for product integration.

Lead the architecture and development of Genesis AI for Expedite Commerce. Design and scale cloud-native, serverless architectures using AWS and integrate with Salesforce and enterprise ecosystems, while ensuring scalability and measurable outcomes.

The Senior Data Scientist will design and optimize large language models and multimodal systems, focusing on retrieval-augmented generation and high-quality search solutions.

The Senior Technical Recruiter will own end-to-end recruitment for AI and ML roles, focusing on technical sourcing and engagement, ensuring a strong candidate experience, and managing offers efficiently.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

Design and implement advanced AI solutions, collaborate with data scientists, and improve product effectiveness in a team-oriented environment.