AI/ML Developer
- Netsmartz Infotech
- 3 - 7 years
- Mohali, Chandigarh
- 3 months ago
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Job Description
Role Overview
We are seeking a MidSenior AI/ML Developer to lead the development, deployment, and orchestration of advanced AI/ML and Generative AI solutions. This role goes beyond model building it requires expertise in Agentic AI, backend APIs, enterprise-scale deployments, and AI enablement. The ideal candidate will be comfortable working across open-source and closed-source ecosystems, designing AI agents and workflows, and engaging with clients to deliver AI solutions that drive measurable business impact.
Key Responsibilities
AI/ML & GenAI Development
- Design, train, and deploy ML/DL models and GenAI solutions (LLMs, diffusion models, transformers, multimodal systems).
- Fine-tune and optimize open-source models (LLaMA, Falcon, Mistral, BERT, T5 etc) and integrate with closed-source APIs (OpenAI GPT, Anthropic Claude, Google Gemini, IBM WatsonX, Azure OpenAI etc).
- Build computer vision pipelines (object detection, OCR, image/video analytics).
Agentic AI & Orchestration
- Develop Agentic AI systems capable of multi-step reasoning, planning, and autonomous task execution.
- Work with LangChain, LlamaIndex, Haystack and similar frameworks to build tool-using, retrieval-augmented, and multi-agent systems.
- Implement and integrate MCP (Model Context Protocol) for model interoperability, context-sharing, and agent-to-agent collaboration.
- Build AI Agents for conversational, voice, and avatar use cases leveraging VAPI, Voiceflow, Retell, HeyGen, Synthesia.
- Orchestrate workflows using n8n, Airflow, LangGraph, and enterprise workflow engines.
Backend APIs & Deployment
- Expose AI models as production-grade REST APIs using FastAPI, Flask, or Django REST Framework.
- Build microservices-based AI architectures and integrate with enterprise applications.
- Manage server deployments, Docker containers, and Kubernetes clusters.
- Optimize deployments on either AWS SageMaker, Azure ML, GCP Vertex AI etc. or scalability, cost-efficiency, and compliance.
MLOps & LLMOps
- Implement CI/CD pipelines, MLflow/Weights & Biases, and GitOps for experiment tracking and versioning.
- Deploy LLMOps frameworks for prompt management, hallucination monitoring, and safety guardrails.
- Monitor drift detection, retraining workflows, and responsible AI compliance.
Client-Facing & AI Enablement
- Work directly with clients and stakeholders to identify opportunities, define requirements, and plan AI/GenAI roadmaps.
- Conduct AI enablement workshops, PoCs, and use-case discovery sessions.
- Translate high-level business problems into AI-driven workflows and agent-based solutions.
- Work in an Agile/Scrum environment, ensuring iterative delivery with continuous feedback.
- Communicate complex AI concepts effectively to both technical and non-technical audiences.
Required Skills & Qualifications
- Experience: 46 years in AI/ML development, with at least 2+ years in Generative AI and enterprise deployments.
- Programming: Strong Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face).
- Models: Experience with both open-source (Falcon, LLaMA, Mistral, etc.) and closed-source APIs (OpenAI, Anthropic, Gemini, WatsonX, Azure OpenAI).
- Agentic AI: Hands-on with LangChain, LlamaIndex, LangGraph, and multi-agent frameworks.
- MCP: Familiarity with Model Context Protocol (MCP) for model/agent interoperability.
- Backend & APIs: Strong experience in FastAPI, Flask, or Django REST for production-ready model APIs.
- Cloud & Deployment: Skilled in Docker, Kubernetes, and cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
- Applied Use Cases: Sales forecasting, churn prediction, predictive scheduling, and business analytics.
- Databases: SQL/NoSQL + vector databases (Pinecone, FAISS, Milvus, Weaviate).
- Workflow Tools: n8n, Airflow, LangChain-based orchestration.
- Communication: Excellent verbal, written, and client-facing presentation skills.
- Agile Mindset: Experience delivering solutions in Agile/Scrum environments.
Preferred Qualifications
- Exposure to multimodal AI (text + vision + audio).
- Knowledge of enterprise AI enablement (security, compliance, governance).
- Experience building agent-driven business solutions (voice agents, digital avatars, RAG-powered copilots).
- Contributions to open-source AI frameworks.
- Familiarity with ethical AI frameworks (bias detection, explainability, compliance).
- Nice to have is an experience real-world business use cases like:
- Sales forecasting and demand prediction
- Customer churn modeling and retention strategies
- Scheduling optimizers & workforce planning
- Predictive analytics for business KPIs
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Netsmartz InfotechLocation(s): Mohali, Chandigarh
Keyskills: Agentic Ai Generative Ai Artificial Intelligence Aiml Machine Learning
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Netsmartz Infotech
Netsmartz Infotech (India) Pvt. Ltd Netsmartz is a CMMi3 & ISO 9001: 2008 certified software Development Company, headquartered in Rochester, New York and has multiple offices across the globe. With over a decade of existence, 400+ employees, experience of successfully executing 2000+ projects a...
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