Job Description

LTTS India
Chennai

Job Summary:




We are seeking a skilled and experienced Senior AI Engineer with 5+ years of hands-on experience in designing, developing, and deploying AI/ML solutions. You will work closely with the AI Architect to build scalable models, optimize infrastructure, and integrate AI systems into production environments. This role offers the opportunity to work on cutting-edge technologies including LLMs, MLOps, intelligent automation, and cloud-native AI deployments.




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Key Responsibilities:




Design, develop, and deploy AI/ML models using Python and frameworks like TensorFlow, PyTorch, or scikit-learn.




Support the implementation and fine-tuning of transformer-based models and LLMs (e.g., GPT, BERT).




Build and maintain data pipelines and model training workflows.




Collaborate with the AI Architect to integrate models into automation frameworks (e.g., Appium) and enterprise systems.




Containerize AI applications using Docker and orchestrate with Kubernetes.




Contribute to CI/CD pipelines and GitOps workflows for AI model deployment.




Monitor model performance and assist in retraining and optimization.




Document model architectures, training processes, and deployment steps.




Stay updated with the latest AI tools, libraries, and best practices.




Work closely with cross-functional teams to deliver AI components aligned with business goals.




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Required Qualifications:




Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.




5+ years of professional experience in AI/ML development.




Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Hugging Face).




Experience with LLMs and transformer architectures.




Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).




Understanding of CI/CD and GitOps practices.




Experience with Appium for intelligent automation and testing.




Exposure to MLOps tools and practices.




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Preferred Qualifications:




Experience working in AI/ML environments or supporting data science teams.




Knowledge of distributed systems and performance optimization.




Experience in embedded software development is a strong plus.




Certifications in AI, cloud, or DevOps technologies.




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Soft Skills:




Strong analytical and problem-solving skills.




Effective communication and documentation abilities.




Ability to work independently and collaboratively in a team.




Eagerness to learn and grow under technical mentorship.




Organized and detail-oriented with a proactive mindset.

Job Requirement

AI Engineer