GeBBS - Software Engineer - Machine Learning Models

Job Title : Software Engineer - Machine Learning Engineer LLM/GenAI Focus

Location : Airoli, Navi Mumbai

Experience Required : Minimum 2 years relevant experience in Python

Work from Office

Key Responsibilities :

- Design, develop, and implement machine learning (ML) and natural language processing (NLP) models and solutions.

- Build, fine-tune, and deploy Large Language Models (LLMs) and Generative AI (GenAI) applications.

- Write, maintain, and optimize Python code for ML and NLP projects.

- Work with databases to collect, clean, and manage datasets for model training and evaluation.

- Deploy ML models and Python applications on public cloud platforms (Azure/AWS).

- Collaborate with cross-functional teams to define business requirements and deliver solutions.

- (Good to have) Support and implement best practices for LLMOps, including monitoring and lifecycle management of LLM/GenAI models.

Requirements :

- Relevant experience : Minimum 2 years in machine learning, NLP, or AI solution development.

- Python programming : 12 years of hands-on experience.

- ML/NLP : 2+ years practical experience building and deploying ML/NLP solutions.

- LLM and GenAI : At least 1 year working with LLM (Large Language Models) and Generative AI technologies.

- Databases : 1+ years of experience working with any modern database (SQL/NoSQL).

- Cloud Deployment : 1+ years of experience deploying ML models or Python applications on Azure or AWS.

- Good to have : Familiarity with LLMOps tools or frameworks for managing LLM/GenAI models.

Preferred Skills :

- Familiarity with major ML/NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face Transformers).

- Understanding of software engineering best practices, version control, and model lifecycle management.

- Strong analytical and problem-solving skills.

- Effective communication and teamwork abilities.