AI/ML Engineer - Data Modeling

Key Responsibilities :

- Design, train, and fine-tune machine learning and deep learning models, with a focus on LLMs for conversational and generative tasks.

- Perform feature engineering, data preprocessing, and model evaluation to ensure high accuracy, robustness, and scalability.

- Optimize models for real-world performance and production deployment.

- Work with structured and unstructured datasets, ensuring quality through cleaning, transformation, and augmentation.

- Build pipelines for efficient data collection, preparation, and experimentation.

- Implement and scale ML solutions on cloud platforms such as AWS, GCP, or Azure.

- Collaborate with software engineers to integrate AI models into production-ready applications.

- Develop APIs and services for model consumption by downstream systems and applications.

- Stay updated with the latest advancements in NLP, LLMs, and deep learning frameworks.

- Explore and implement Retrieval-Augmented Generation (RAG) and AI Agent methodologies to enhance system intelligence.

- Experiment with emerging AI tools and frameworks for applied business use cases.

Partner with product managers, data scientists, and business stakeholders to translate

requirements into technical solutions.

- Present findings, insights, and recommendations clearly to both technical and non-technical teams.

- Foster a culture of innovation and continuous improvement in AI-driven development.

Required Qualifications :

- Bachelor of Technology (B.Tech) or equivalent in Computer Science, Data Science, AI/ML, or related field.

- Strong understanding of Large Language Models (LLMs) and their applications in text and conversational AI.

- Proficiency in Python, including libraries such as pandas, NumPy, and scikit-learn.

- Demonstrated ability to build, train, and optimize ML models for production deployment.

- Solid foundation in data cleaning, feature engineering, and model evaluation techniques.

- Excellent analytical thinking, problem-solving, and communication skills for cross-functional

collaboration