Job Title

AI/ ML Engineer

Designation

Assistant Manager

Job Type

Full - Time

Department

DT CRE - Tech

Location

Remote

Domain

AI/ML

About the Role:We are looking for a skilled AI Engineer to design, build, and deploy AI/ML solutions across business functions and products. You will work on LLM-powered applications, agentic AI systems, and RPA bots, helping automate workflows, enhance decision-making, and create intelligent user experiences. This is a hands-on role that blends AI development, system design, and production deployment. Key Responsibilities

- Design and deploy AI/ML solutions for NLP, computer vision, recommendations, and predictive analytics.
- Build agentic AI systems capable of autonomous task execution using tools like LangChain Agents or similar frameworks.
- Develop and deploy RPA bots for workflow automation, integrating with enterprise systems and third-party APIs.
- Operationalize LLM-based applications such as chatbots, document understanding, summarization, and Q&A; systems.
- Collaborate with data scientists to productionize research models.
- Build data ingestion pipelines and manage feature stores for model training/inference.
- Use LangChain, Hugging Face Transformers, TorchServe for model orchestration and integration.
- Automate training, retraining, and monitoring pipelines using MLflow, Kubeflow, Airflow.
- Deploy models via FastAPI, Docker, and Kubernetes in cloud environments.




- Monitor model performance, detect drift, and ensure reliability in production.
- Document architecture, automation workflows, and deployment strategies.

Qualifications

- Master’s degree in computer science, AI/ML, or related technical field.
- 3+ years of experience in software or AI/ML development; production deployment experience is essential.
- Deep understanding of ML pipelines, agentic AI design, and automation frameworks.
- Strong proficiency in Python, SQL, and scripting languages.
- Experience with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines.
- Familiarity with Agile, DevOps, and distributed systems.

Technical Skills

- Languages: Python, SQL, Bash
- Frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
- NLP & Agentic AI: OpenAI API, LangChain Agents, SpaCy, RAG pipelines
- RPA Tools: UiPath, Automation Anywhere, or custom bot frameworks (Python-based)
- MLOps: MLflow, Kubeflow, Airflow, Docker, Kubernetes
- Cloud Platforms: Azure ML, AWS SageMaker, GCP Vertex AI
- Deployment: FastAPI, REST APIs, containerized microservices

Soft Skills

- Strong problem-solving and automation mindset
- Ability to simplify and explain AI concepts to business stakeholders
- Collaborative, detail-oriented, and proactive
- Robust sense of ownership and documentation discipline

📌 -CRE Tech-AM-AI Engineer-GGN (Gurugram)
🏢 Sharp Group
📍 Gurugram