Information Technology
Full-Time
GeBBS Healthcare Solutions
Overview
Job Title: Software Engineer - Machine Learning Engineer – LLM/GenAI Focus
Location: Airoli, Navi Mumbai
Experience Required: Minimum 2 years’ relevant experience in Python
Key Responsibilities
Disclaimer: GeBBS never charges fees or accepts payments for job applications. Any such requests should be reported immediately to reporthr@gebbs.com.
Location: Airoli, Navi Mumbai
Experience Required: Minimum 2 years’ relevant experience in Python
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.
- Relevant experience: Minimum 2 years in machine learning, NLP, or AI solution development.
- Python programming: 1–2 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.
- 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.
Disclaimer: GeBBS never charges fees or accepts payments for job applications. Any such requests should be reported immediately to reporthr@gebbs.com.
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