Top Artificial Intelligence Jobs in Bengaluru, KA

Lead a team in designing, developing, and deploying state-of-the-art generative AI models and applications. Stay at the cutting edge of AI research, manage multiple projects, optimize algorithms, ensure quality assurance, and uphold ethical guidelines.

Principal AI/ML Engineer role at GSK focusing on Generative AI, NLP, document classification, and data science projects. Responsibilities include designing and developing AI applications, evaluating models, data clustering, and cross-team collaboration. Requires a Bachelor's degree in computer science and 5+ years of experience in AI/ML.

Looking for a Machine Learning Engineer with 6+ years of experience in AI and Machine learning to build efficient, data-driven artificial intelligence systems. Responsibilities include designing, developing, testing, and deploying machine learning models, collaborating with cross-functional teams, optimizing model performance, and staying updated on the latest ML technologies.

Conduct state-of-the-art research in machine learning and AI systems, focusing on the robustness of multimodal foundation models. Collaborate with a team of researchers to advance natural language and multimodal understanding. Implement optimized solutions on Intel platforms and contribute to product roadmaps.

Lead Architect position at Lilly focused on machine learning to extract value from data, prepare NLT platforms, and demonstrate insights from data to business users. Responsibilities include designing language systems, adopting NLG algorithms, and ensuring ML model performance and uptime.

Join Aviatrix Systems India as a Staff Software Engineer specializing in Machine Learning and Artificial Intelligence. Develop and optimize AI log detector/analyzer, customize ML models, integrate AI solutions, and stay updated with AI/ML technologies.

Lead and grow a team of applied scientists and machine learning engineers to develop and implement platform-level AI capabilities at a global software company focused on governance, risk, and compliance solutions. Collaborate with stakeholders, integrate AI-based capabilities into products, lead projects focusing on legal and regulatory language, and stay updated on advancements in machine learning and AI.

The Senior AI Scientist will work in teams developing AI models for Healthcare applications in a commercial research and development environment. Responsibilities include developing AI models, research prototypes, data quality assessment, collaborating with software developers, and sharing findings with the team.

Seeking a Senior Backend Engineer to design, develop, and maintain scalable backend systems using modern technologies. Responsibilities include collaborating with cross-functional teams, implementing sophisticated patterns, and ensuring code quality and performance. Requires 5+ years of experience, proficiency in multiple programming languages, cloud platforms, and data processing systems. Bachelor's degree in Computer Science required from a top-tier school. Company offers competitive compensation, training opportunities, team-building activities, and medical insurance coverage for parents/In-laws.

Design and develop ensemble algorithms for enterprise cybersecurity risk modeling, apply data-mining and AI techniques, build production quality solutions, drive ML infrastructure architecture, and work collaboratively with cross-functional teams.

Develop, fine-tune, and deploy generative AI models to create innovative solutions. Collaborate with teams to integrate AI models, analyze data, experiment with techniques, and assist in AI application development. Document work for reproducibility.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

Design and develop AI/ML algorithms for enterprise cybersecurity risk modeling, data-mining, and graph analysis. Build production quality solutions, participate in the engineering life-cycle, and drive the usage of open source ML libraries.

As a Delivery Leader for our LLM Training business, you will play a pivotal role in leading our efforts to develop high-quality, foundational LLMs. Responsibilities include leading and managing large teams of developers, collaborating with clients, maintaining quality datasets, overseeing project transitions, and enhancing code quality. Qualifications include experience in managing technical teams, proficiency in Python and/or JavaScript, hands-on technical work, strong leadership and communication skills.

Develop proof-of-concept software for vision and radar applications in automotive applications. Bring up computer vision and radar applications on hardware platforms. Discuss requirements for next-generation ADAS products. Support customers with computer vision and radar applications.

Lead AI Software Engineer role at Degreed in Bengaluru, India, working on designing and maintaining cloud-based AI applications in a hybrid work model. Responsibilities include collaborating with cross-functional teams, developing APIs and microservices, and implementing security measures.

Senior Software Engineer role at Turing responsible for AI tooling projects, system architecture, full-stack development, team leadership, collaboration with cross-functional teams, ensuring quality and scalability, mentorship, best practices, and innovation in AI systems development.