GeBBS - Software Engineer - Machine Learning Models

<p></p><p><b>Job Title :</b> Software Engineer - Machine Learning Engineer LLM/GenAI Focus</p><br/><p><b>Location :</b> Airoli, Navi Mumbai</p><br/><p><b>Experience Required :</b> Minimum 2 years relevant experience in Python</p><br/><p><b>Work from Office</b></p><br/><p><b>Key Responsibilities :</b></p><br/><p>- Design, develop, and implement machine learning (ML) and natural language processing (NLP) models and solutions.</p><br/><p>- Build, fine-tune, and deploy Large Language Models (LLMs) and Generative AI (GenAI) applications.</p><br/><p>- Write, maintain, and optimize Python code for ML and NLP projects.</p><br/><p>- Work with databases to collect, clean, and manage datasets for model training and evaluation.</p><br/><p>- Deploy ML models and Python applications on public cloud platforms (Azure/AWS).</p><br/><p>- Collaborate with cross-functional teams to define business requirements and deliver solutions.</p><br/><p>- (Good to have) Support and implement best practices for LLMOps, including monitoring and lifecycle management of LLM/GenAI models.</p><br/><p><b>Requirements :</b></p><br/><p><b>- Relevant experience :</b> Minimum 2 years in machine learning, NLP, or AI solution development.</p><br/><p><b>- Python programming :</b> 12 years of hands-on experience.</p><br/><p><b>- ML/NLP :</b> 2+ years practical experience building and deploying ML/NLP solutions.</p><br/><p><b>- LLM and GenAI :</b> At least 1 year working with LLM (Large Language Models) and Generative AI technologies.</p><br/><p><b>- Databases :</b> 1+ years of experience working with any modern database (SQL/NoSQL).</p><br/><p><b>- Cloud Deployment :</b> 1+ years of experience deploying ML models or Python applications on Azure or AWS.</p><br/><p><b>- Good to have :</b> Familiarity with LLMOps tools or frameworks for managing LLM/GenAI models.</p><br/><p><b>Preferred Skills :</b></p><br/><p>- Familiarity with major ML/NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face Transformers).</p><br/><p>- Understanding of software engineering best practices, version control, and model lifecycle management.</p><br/><p>- Strong analytical and problem-solving skills.</p><br/><p>- Effective communication and teamwork abilities.</p><p></p> (ref:hirist.tech)