Pune, Maharashtra, India
Information Technology
Full-Time
Enterprise Minds, Inc
Overview
Department : Technology / AI Innovation
Reports To : AI/ML Lead or Head of Data Science
Location : Pune
Role Summary
We are looking for an experienced AI/ML & Generative AI Developer to join our growing AI innovation team. You will play a critical role in building advanced machine learning models, Generative AI applications, and LLM-powered solutions. This role demands deep technical expertise, creative problem-solving, and a strong understanding of AI workflows and scalable cloud-based deployments.
Key Responsibilities
Reports To : AI/ML Lead or Head of Data Science
Location : Pune
Role Summary
We are looking for an experienced AI/ML & Generative AI Developer to join our growing AI innovation team. You will play a critical role in building advanced machine learning models, Generative AI applications, and LLM-powered solutions. This role demands deep technical expertise, creative problem-solving, and a strong understanding of AI workflows and scalable cloud-based deployments.
Key Responsibilities
- Design, develop, and deploy AI/ML models and Generative AI applications for diverse enterprise use cases.
- Implement, fine-tune, and integrate Large Language Models (LLMs) using frameworks like LangChain, LlamaIndex, and RAG pipelines.
- Build Agentic AI systems with multi-step reasoning and autonomous decision-making capabilities.
- Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval.
- Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to operationalize AI solutions.
- Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices.
- Leverage Azure and Databricks for training, serving, and monitoring AI models at scale.
- 4+ years of hands-on experience in AI/ML development, including Generative AI applications.
- Expertise in RAG, LLMs, and Agentic AI implementations.
- Strong knowledge of LangChain, LlamaIndex, or similar LLM orchestration frameworks.
- Proficient in Python and key ML/DL libraries : TensorFlow, PyTorch, Scikit-learn.
- Solid foundation in Deep Learning, Natural Language Processing (NLP), and Transformer-based architectures.
- Experience in building data ingestion, indexing, and retrieval pipelines for real-world enterprise scenarios.
- Hands-on experience with Azure cloud services and Databricks.
- Proven experience designing CI/CD pipelines and working with MLOps tools like MLflow, DVC, or Kubeflow.
- Strong problem-solving and critical thinking ability.
- Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
- Strong collaboration and teamwork in agile, cross-functional environments.
- Growth mindset with curiosity to explore and learn emerging technologies.
- Familiarity with vector databases : FAISS, Pinecone, Weaviate.
- Experience with AutoGPT, CrewAI, or similar agent frameworks.
- Exposure to Azure OpenAI, Cognitive Search, or Databricks ML tools.
- Understanding of AI security, responsible AI, and model governance.
- Internal : Data Scientists, Data Engineers, DevOps Engineers, Product Managers, Solution Architects.
- External : AI/ML platform vendors, cloud service providers (Microsoft Azure), third-party data providers.
- Contribute to AI strategy, architecture, and reusable AI components.
- Support multiple projects simultaneously in a fast-paced agile environment.
- Mentor junior engineers and contribute to best practices and standards.
- % reduction in model development time using reusable pipelines.
- Successful deployment of GenAI/LLM features in production.
- Accuracy, latency, and relevance improvements in AI search and retrieval.
- Uptime and scalability of deployed AI models.
- Integration of responsible AI and compliance practices.
- Technical Excellence in AI/ML/GenAI
- Cloud Engineering & DevOps Enablement
- Innovation & Continuous Improvement
- Business Value Orientation
- Agile Execution & Ownership
- Cross-functional Collaboration
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