Top Machine Learning Jobs in Chennai

The Data Scientist will analyze complex datasets, develop predictive models, and derive insights to support business objectives using advanced statistical methods.

Responsible for designing, developing, and implementing AI models and applications for edge computing. Collaborates with teams to define project requirements and optimizes AI solutions for hardware.

The Senior Engineer II-Software AI/ML will design and implement AI models, optimize applications for edge computing, collaborate with teams, and maintain software solutions while adhering to best practices.

Develop customer-facing automation solutions, contributing to design, coding, and troubleshooting, while collaborating with stakeholders on technical issues.

Lead the design, development, and implementation of AI-driven network solutions, guiding the full software development lifecycle and technical innovation.

Design and implement scalable distributed systems and ML services. Drive innovation in AI-driven network management and mentor junior engineers.

The ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

Design, develop, and maintain applications using modern languages, build data pipelines, and deploy ML models on Azure. Collaborate with teams to drive projects from concept to production.

Develop machine learning software for semiconductor metrology, optimize algorithms, and collaborate on API development while documenting progress and providing support.

The role involves designing and implementing AI/ML models for edge computing environments, collaborating across teams, and improving software solutions while staying current with technology advancements.

The job involves building tools for machine learning, collaborating on productionizing models, and maintaining existing platforms with newer tech solutions.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The role involves leading data science efforts including model development, design solutions, mentoring team members, and effective communication with clients, while ensuring quality and compliance with standards.

The role involves overseeing data science projects, mentoring team members, and developing solutions using machine learning and data technologies, while ensuring alignment with client requirements.

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.

The Senior Staff Engineer, Data-science will lead machine learning initiatives, mentor team members, and ensure best practices in technical design and architecture.

The Lead Software Engineer, Machine Learning will design, develop, and deploy scalable ML algorithms, improve existing models, and collaborate cross-functionally to create AI products.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

The Senior Manager AI ML will define the strategic AI/ML roadmap, lead end-to-end system integration, and mentor teams to create innovative adaptive systems.

Lead AI/ML projects, design scalable architectures, translate business needs into technical solutions, and ensure best practices in implementation.

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

The AI/ML Engineer designs and deploys machine learning models, collaborates across teams, and translates business needs into AI solutions.