SR AI Engineer

We are seeking a skilled and hands-on Sr. AI Engineer with 4–8 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate has a strong foundation in classification, anomaly detection, and time-series modeling, along with experience in Transformer-based architectures. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Exp-4-8 Years

Notice Period-Immediate-15 Days

Location-Pune(Hybrid)

Responsibilities

• Design, train, and evaluate ML models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Build and fine-tune deep learning models, including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Develop and deploy Generative AI solutions, including RAG pipelines for applications such as document search, Q&A, and summarization.
• Apply model optimization techniques, including quantization, to improve latency and reduce memory / compute overhead in production.
• Fine-tune large language models (LLMs) using Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA (optional).
• Define, track, and report relevant evaluation metrics; monitor model drift and retrain models as required.
• Collaborate with cross-functional teams (data engineering, backend, DevOps) to productionize ML models using CI / CD pipelines.
• Maintain clean, reproducible code, and proper documentation and versioning of experiments.

Required Skills & Qualifications