Generative AI Engineer

15 hours ago

Pune, Maharashtra, India Peoplefy Full time

Job Title : Generative AI / Machine Learning Engineer

Location : Pune, India

Experience Required : 7+ years

Notice Period : Immediate / Serving Notice


About the Role :


We are seeking a highly skilled Generative AI / Machine Learning Engineer to design, build, and deploy advanced AI solutions for real-world applications. This role requires deep expertise in Machine Learning, Generative AI frameworks, and RAG (Retrieval Augmented Generation) pipelines, with the ability to integrate and scale these solutions into enterprise-grade Responsibilities :


Model Development & Deployment :

- Design, train, and deploy supervised and unsupervised ML models for large-scale

applications.

- Build and optimize Generative AI pipelines (LLMs, RAG architectures, AI Agents).

- Implement scalable data preprocessing, feature engineering, and inference AI Applications :


- Develop solutions using LLMs (OpenAI, LLaMA, Falcon, etc.) with fine-tuning and prompt engineering.

- Architect and implement RAG pipelines combining vector databases (e.g., Pinecone, Weaviate, FAISS) and LLMs for enterprise knowledge retrieval.

- Build and deploy AI Agents for automation, decision support, and conversational & Integration :

- Write clean, production-grade Python code following best practices.

- Integrate ML/GenAI solutions into existing enterprise systems, APIs, and applications.

- Collaborate with data engineers, product managers, and DevOps teams to deliver scalable AI & Cloud :

- Use MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML) for experiment tracking, CI/CD, and deployment.

- Deploy models on cloud platforms (AWS/GCP/Azure) with containerized workflows (Docker, Kubernetes).

- Optimize models for latency, scalability, and cost Skills & Qualifications Expertise :

- Strong proficiency in Python and ML libraries : TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers.

- Deep understanding of ML algorithms (supervised, unsupervised, deep learning).

- Proven hands-on experience in Generative AI frameworks (LangChain, LlamaIndex, Haystack, RAG pipelines, AI Agent Knowledge :

- Experience with vector databases (Pinecone, FAISS, Weaviate, Milvus).

- Familiarity with LLM fine-tuning, embeddings, and prompt optimization.

- Strong foundation in data preprocessing, feature engineering, and model Skills :

- MLOps exposure (CI/CD pipelines, model monitoring, drift detection).

- Cloud experience with AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML.

- Familiarity with API design, microservices architecture, and distributed :

- Bachelors or Masters in Computer Science, Data Science, AI/ML, or related fields.

- Certifications in AI/ML, Cloud, or Generative AI (preferred but not mandatory). (ref:hirist.tech)

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