SR AI Engineer
4 weeks ago
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 YearsNotice Period-Immediate-15 DaysLocation-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- 4–5 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.
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Sr. AI Engineer
3 weeks ago
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Sr. AI Engineer
1 week ago
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Generative AI Engineer
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Generative ai engineer
4 weeks ago
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Generative ai engineer
4 weeks ago
New Delhi, India A21.ai Full timePosition: Sr. AI Engineer Location: New Delhi, India Company: a21.ai Job Type: Full-time Experience Required: 2-5 years About a21.ai a21.ai is at the forefront of AI innovation, helping companies build large language model (LLM) applications and bespoke Gen AI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that...
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Generative AI Engineer
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Generative AI Engineer
4 days ago
New Delhi, India Delta System & Software, Inc. Full timeSr./Staff GenAI Engineer- 8+ years of professional experience in building Machine Learning models & systems for Sr GenAI Engineer and 10+ years for Staff GenAI Engineer - 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. - Expert proficiency in programming skills in Python,...