PC01026-CRE Tech-AM-AI Engineer-GGN

1 week ago


Gurgaon, India Sharp Group Full time

Job TitleAI/ ML EngineerDesignationAssistant ManagerJob TypeFull - TimeDepartmentDT CRE - TechLocationRemoteDomainAI/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, BashFrameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face TransformersNLP & Agentic AI: OpenAI API, LangChain Agents, SpaCy, RAG pipelinesRPA Tools: UiPath, Automation Anywhere, or custom bot frameworks (Python-based)MLOps: MLflow, Kubeflow, Airflow, Docker, KubernetesCloud Platforms: Azure ML, AWS SageMaker, GCP Vertex AIDeployment: FastAPI, REST APIs, containerized microservices Soft Skills Strong problem-solving and automation mindsetAbility to simplify and explain AI concepts to business stakeholdersCollaborative, detail-oriented, and proactiveStrong sense of ownership and documentation discipline



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