Top Machine Learning Jobs in Chennai, TN

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.

Develop and deploy generative AI models using Python on Azure or AWS Platform, engage in R&D to enhance AI model performance, design ML pipelines, collaborate with teams to integrate AI capabilities, analyze datasets, mentor junior team members.

VIAVI Solutions is seeking a Backend Software Development Engineer with 2 or more years of experience to join their dynamic development team working on RAN Assurance and Automation solutions. Responsibilities include executing full software development life cycle, developing automated tests, troubleshooting existing systems, and providing recommendations for continuous improvement.

VIAVI Solutions is seeking a Backend Software Development Engineer with 1-2 years of experience to join the R&D team in developing a groundbreaking market-leading solution for RAN Assurance and Automation. Responsibilities include software development, maintenance, integrating components, troubleshooting, and continuous improvement. Must have a BS or MS in Computer Science or related field, excellent communication skills, and experience in Agile methodology.

VIAVI Solutions is seeking a Backend Software Development Engineer with 2+ years of experience to join their dynamic team developing RAN Assurance and Automation solutions. Responsibilities include full software development life cycle, testing, maintenance, and troubleshooting of systems. Pre-requisites include a BS or MS in Computer Science, strong communication skills, and experience with Agile methodologies.

VIAVI Solutions is seeking a Backend Software Development Engineer to work on the next generation of scalable assurance systems developing a microservice architecture utilizing leading-edge technologies. Responsibilities include executing full software development life cycle, developing automated tests, and integrating software components.

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.

Lead the development of cutting-edge AI and ML solutions using Python, GPT Models, AWS Lex, OpenAI, AWS, OpenCV, and other technologies. Manage and mentor a team of AI/ML Engineers. Strong background in AI/ML engineering, programming, and project management.

Lead the implementation of cutting-edge ML infrastructure, provide technical leadership to a team of ML engineers, collaborate with data scientists, architect and execute model deployment strategies, engineer CI/CD pipelines, define and refine performance benchmarks, and stay updated with industry trends and emerging technologies.

Collaborate with data scientists and machine learning engineers to build backend systems, design and implement APIs, optimize backend infrastructure, and maintain CI/CD pipelines for automated testing and deployment. Requires 5+ years of experience in commercial software development with strong analytical skills and familiarity with microservice architecture.

The ML Engineer will be responsible for conceptualizing, designing, and implementing ML models for dynamic pricing strategies and personalized product recommendations. They will work on data pipelines, develop and deploy machine learning models, and collaborate with cross-functional teams to align solutions with strategic objectives.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure and collaborate with diverse teams to deliver impactful solutions. Responsible for architecting and deploying ML models, propelling products to new levels of success.

We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.

The AI ML Engineering Manager will lead a team in developing cutting-edge AI and ML solutions using various technologies. Responsibilities include programming, statistics, machine learning algorithms, deep learning frameworks, cloud computing, and big data technologies.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

As an Engineering Manager at Turing.com, you will lead a team of talented engineers, drive technical vision and execution of complex projects, and foster a culture of continuous improvement and excellence. Key responsibilities include leading innovation efforts, managing project allocation, optimizing development processes, and identifying high and low performers in teams. Requires strong leadership in Python with Python expertise and experience in Computer Vision (CV) as a plus.

Design and develop machine learning software solutions for semiconductor device and thin film metrology. Work with internal and external customers to define requirements, build machine learning-based solutions, optimize algorithms, and implement solutions in Python using TensorFlow. Also responsible for API design, testing, documentation, and maintenance of software solutions.