AI/ML Engineer – Python & GenAI Development

We are looking for AI/ML Engineer – Python & GenAI Developer.

Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.

Join our Digitalization Technology and Services (DTS) team based in Bangalore.

YOU’LL MAKE A DIFFERENCE BY:

• Conducting in-depth research on AI and ML models, particularly in Generative AI.

• Developing, fine-tuning and optimizing AI/ML models for various applications.

• Implementing and deploying AI-based applications using Python frameworks.

• Working with containerization technologies like Docker for scalable application deployment.

• Designing and integrating CI/CD pipelines for automated testing and deployment.

• Developing and integrating APIs for web applications to interact with AI models.

• Collaborating with cross-functional teams to develop AI-powered solutions.

• Staying up to date with the latest advancements in AI/ML and emerging trends in GenAI.

• Ensuring the security, performance and reliability of AI applications.

• Developing and maintaining technical documentation for AI models and software applications.

JOB REQUIREMENTS/ SKILLS:

• Strong proficiency in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).

• Hands-on experience in researching and developing AI models, especially in Generative AI.

• Solid knowledge of containerization using Docker and experience with Kubernetes.

• Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI.

• Experience in deploying AI applications on cloud platforms (AWS, Azure, or GCP).

• Strong understanding of software development best practices, APIs, and microservices architecture.

• Experience in web application development and API design for AI-powered applications.

• Ability to explore, evaluate, and implement state-of-the-art AI research.

• Excellent problem-solving skills and ability to work in an agile development environment.

Preferred Qualifications:

• Experience with LangChain, OpenAI API, or similar GenAI frameworks.

• Knowledge of vector databases and Retrieval-Augmented Generation (RAG) architectures.

• Exposure to MLOps practices and AI model lifecycle management.

• Prior experience with NLP, computer vision, or reinforcement learning.

• Contributions to AI research papers, open-source projects, or hackathons.

Industries:Electrical & Electronic Manufacturing, Industrial Automation, Mechanical Or Industrial Engineering