Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services from ideation to implementation across industries including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

We are seeking a highly skilled, hands-on Senior AI Engineer to lead the design, development, and production deployment of advanced AI solutions—spanning traditional machine learning, deep learning, and Generative AI. You will own end-to-end AI initiatives, from architecture through optimization, deployment, and monitoring, and build scalable, enterprise-grade applications such as conversational AI assistants and Retrieval-Augmented Generation (RAG) pipelines that deliver measurable business value.

Design, train, and evaluate ML and deep learning models (RNNs, GRUs, LSTMs, and Transformers such as BERT, T5, GPT) for classification, anomaly detection, forecasting, and NLP tasks.
Architect and develop Generative AI and RAG solutions for document search, conversational Q&A;, and summarization using frameworks like LangChain and LlamaIndex.
FAISS, Pinecone, Azure AI Search), embeddings, and retrieval techniques for grounded, context-aware responses.
Deploy models into production on cloud platforms (AWS, Azure, GCP) using containerization (Docker, Kubernetes), collaborating with DevOps on CI/CD pipelines for scalability and reliability.




monitor model drift and performance, and retrain as needed.
Collaborate with cross-functional teams (data engineering, backend, DevOps, product) and mentor junior engineers; Bachelor's or Master's in Computer Science, Data Science, or a related field.

- 5+ years of hands-on experience in machine learning, AI engineering, or data science, with proven production deployment experience.
- Proficiency in programming languages such as Python, Java, or C++.
- TensorFlow, PyTorch) and traditional machine learning algorithms , especially for sequence and NLP tasks.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Proficiency with ML/DL libraries (scikit-learn, pandas) and Transformer models / open-source LLMs (e.g., Practical experience with GenAI tools, RAG frameworks, vector stores, and embeddings.
- Experience with model quantization, evaluation using statistical and business metrics, and production monitoring.
- Experience fine-tuning LLMs (SFT, LoRA, QLoRA) on domain-specific datasets.

SageMaker, Vertex AI, Kubeflow).
Familiarity with distributed data processing (e.g., Experience building enterprise-grade conversational or agentic AI solutions.
Familiarity with computer vision and version control (Git).
Contributions to research papers, blog posts, or open-source projects in ML/NLP/GenAI.

📌 (Senior) AI DevOps Engineer (m/w/d)
🏢 Fulcrum Digital
📍 Pune