Job Description

Job Title: Principal Machine Learning Engineer
Location: Bengaluru, India
Company: US-Based SaaS Product Company
Experience: 8-12 years
About the Role: We are seeking a highly skilled and experienced Principal Machine Learning Engineer to join our dynamic team. The ideal candidate will have deep expertise in Machine Learning (ML), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs). You will play a pivotal role in designing, developing, and deploying advanced ML solutions that drive innovation and business outcomes.
Key Responsibilities:

• Lead the end-to-end design and implementation of Machine Learning models, focusing on NLP, RAG, and LLMs.
• Architect and optimize ML pipelines for scalability, efficiency, and performance.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to define technical requirements and deliver impactful ML solutions.
• Research and evaluate state-of-the-art ML models and technologies to improve existing systems.
• Build and fine-tune LLMs for specific business use cases.
• Develop robust data pipelines and integrate ML models into production environments.
• Mentor and guide junior engineers and data scientists.
• Drive best practices for ML model deployment, monitoring, and maintenance.

• 8-12 years of experience in Machine Learning, NLP, and AI.
• Strong expertise in LLMs and RAG frameworks.
• Proficiency in Python and ML libraries/frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
• Experience in designing and deploying large-scale ML models in production environments.
• Solid understanding of cloud platforms (AWS, Azure, or GCP).
• Knowledge of data preprocessing, feature engineering, and model optimization.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication and leadership abilities.

• Experience working in a SaaS product company.
• Contributions to open-source ML/NLP projects.
• Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, or related fields.

• Be part of a fast-growing, innovative SaaS company with global reach.
• Opportunity to work with cutting-edge technologies in ML and AI.
• Collaborative and inclusive work environment.
• Competitive compensation and benefits.