Sr AI Engineers

Pune - India

Monthly Salary: Not Disclosed

Experience Required: 4-8years

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Role

We are seeking a skilled and hands-on Sr. AI Engineer with 45 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.

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

45 years of hands-on experience in machine learning deep learning or data science roles.
Proficiency in Python and ML/DL libraries: scikit-learn pandas PyTorch TensorFlow.
Strong understanding of traditional ML and deep learning particularly for sequence and NLP tasks.
Experience with Transformer models and open-source LLMs (e.g. Hugging Face Transformers).
Familiarity with Generative AI tools and RAG frameworks (e.g. LangChain LlamaIndex).
Experience in model quantization (dynamic/static INT8) and deploying models in resource-constrained environments.
Knowledge of vector stores (e.g. FAISS Pinecone Azure AI Search) embeddings and retrieval techniques.
Proficiency in evaluating models using statistical and business metrics.
Experience with model deployment monitoring and performance tuning in production.
Familiarity with Docker MLflow and CI/CD practices.

Preferred Qualifications

Experience fine-tuning LLMs (SFT LoRA QLoRA) on domain-specific datasets.
Exposure to MLOps platforms (e.g. SageMaker Vertex AI Kubeflow).
Familiarity with distributed data processing frameworks (e.g. Spark) and orchestration tools (e.g. Airflow).
Contributions to research papers blogs or open-source projects in ML/NLP/Generative AI.

Required Skills:

Angular/ReactHTML CSS JavascriptTypescript

About the RoleWe are seeking a skilled and hands-on Sr. AI Engineer with 45 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-...