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Urgent! Artificial Intelligence Engineer - Machine Learning Job Opening In India, India – Now Hiring Silverskills Private Limited

Artificial Intelligence Engineer Machine Learning



Job description

<p><p><b>Description :</b><br/><br/>About the Role :<br/><br/>We are looking for a skilled AI Engineer to design, build, and deploy AI/ML solutions across business functions and products.<br/><br/>You will work on LLM-powered applications, agentic AI systems, and RPA bots, helping automate workflows, enhance decision-making, and create intelligent user experiences.<br/><br/>This is a hands-on role that blends AI development, system design, and production deployment.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Design and deploy AI/ML solutions for NLP, computer vision, recommendations, and predictive analytics.<br/><br/></p><p>- Build agentic AI systems capable of autonomous task execution using tools like LangChain Agents or similar frameworks.<br/><br/></p><p>- Develop and deploy RPA bots for workflow automation, integrating with enterprise systems and third-party APIs.<br/><br/></p><p>- Operationalize LLM-based applications such as chatbots, document understanding, summarization, and Q&A systems.<br/><br/></p><p>- Collaborate with data scientists to productionize research models.<br/><br/></p><p>- Build data ingestion pipelines and manage feature stores for model training/inference.<br/><br/></p><p>- Use LangChain, Hugging Face Transformers, TorchServe for model orchestration and integration.<br/><br/></p><p>- Automate training, retraining, and monitoring pipelines using MLflow, Kubeflow, Airflow.<br/><br/></p><p>- Deploy models via FastAPI, Docker, and Kubernetes in cloud environments.<br/><br/></p><p>- Monitor model performance, detect drift, and ensure reliability in production.<br/><br/></p><p>- Document architecture, automation workflows, and deployment strategies.<br/><br/><b>Qualifications :</b><br/><br/></p><p>- Masters degree in computer science, AI/ML, or related technical field.<br/><br/></p><p>- 3+ years of experience in software or AI/ML development; production deployment experience is essential.<br/><br/></p><p>- Deep understanding of ML pipelines, agentic AI design, and automation frameworks.<br/><br/></p><p>- Strong proficiency in Python, SQL, and scripting languages.<br/><br/></p><p>- Experience with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines.<br/><br/></p><p>- Familiarity with Agile, DevOps, and distributed systems.<br/><br/><b>Technical Skills :</b><br/><br/></p><p>- Languages: Python, SQL, Bash<br/><br/></p><p>- Frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers<br/><br/></p><p>- NLP & Agentic AI: OpenAI API, LangChain Agents, SpaCy, RAG pipelines<br/><br/></p><p>- RPA Tools: UiPath, Automation Anywhere, or custom bot frameworks (Python-based)<br/><br/></p><p>- MLOps: MLflow, Kubeflow, Airflow, Docker, Kubernetes<br/><br/></p><p>- Cloud Platforms: Azure ML, AWS SageMaker, GCP Vertex AI<br/><br/></p><p>- Deployment: FastAPI, REST APIs, containerized microservices<br/><br/><b>Soft Skills :</b><br/><br/></p><p>- Strong problem-solving and automation mindset<br/><br/></p><p>- Ability to simplify and explain AI concepts to business stakeholders<br/><br/></p><p>- Collaborative, detail-oriented, and proactive<br/><br/></p><p>- Strong sense of ownership and documentation discipline</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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