Software Engineer

15 hours ago


Thane India GeBBS Healthcare Solutions Full time

Job Description

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

- 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.

Customize the job title and location as needed for your organization. Let me know if you need further tailoring such as salary range, team structure, or a company introduction.


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