AI/ML Engineer

V-ACCEL AI DYNAMICS PVT. LTD. Job Title: AI/ML Engineer Experience: 2-3 Years Location: Tidel Park, Chennai Interview Mode: F2F Job Summary: We are looking for a dynamic AI/ML Engineer with 2–3 years of hands-on experience in machine learning, analytics, and AI automation. The ideal candidate has practical exposure to Agentic AI systems, strong data analytics capabilities, and experience using n8n to build intelligent, event-driven workflows. You will play a critical role in developing AI solutions that power our next-gen SaaS products. This position offers a unique opportunity to work at the intersection of automation, machine learning, and intelligent agents within a high-impact, innovation-driven environment. Key Responsibilities ● Design, develop, and deploy machine learning models for classification, regression, clustering, and other predictive tasks. ● Build and maintain scalable data pipelines; conduct exploratory data analysis (EDA) to derive actionable business insights. ● Architect and implement agentic AI workflows, integrating vector databases and memory modules to enhance system intelligence. ● Develop event-driven automation using n8n, integrating third-party APIs, webhooks, and custom scripts. ● Collaborate with frontend and backend development teams to integrate ML models and AI functionalities into production-grade SaaS applications. Tech Stack & Tools Programming & ML Frameworks: ● Python (Core Language) ● scikit-learn, TensorFlow, PyTorch ● Pandas, NumPy, StatsModels Automation & Agentic AI: ● n8n (Workflow Automation) ● LangChain, AutoGen, CrewAI (Agent Frameworks) ● OpenAI, Gemini, Claude (LLM Providers) Vector & Relational Databases: ● Pinecone, Weaviate, Chroma ● PostgreSQL, MongoDB, MySQL Data & Visualization: ● SQL, Power BI, Tableau ● Matplotlib, Seaborn API & Cloud Integration: ● RESTful APIs, Webhooks, Postman ● AWS (S3, Lambda, EC2), GCP, Azure (Basic Familiarity) DevOps & Deployment (Optional but Preferred): ● Docker, GitHub Actions, Jenkins (Basic CI/CD) ● Streamlit, FastAPI (for ML API deployment) Preferred Qualifications ● Experience with Retrieval-Augmented Generation (RAG) techniques. ● Prior involvement in building SaaS platforms or AI-powered products. ● Familiarity with collaboration tools such as Jira, Notion, or similar. Why Join Us ● Be part of an innovation-led startup shaping the future of AI automation. ● Lead critical AI modules with real-world business impact. ● Thrive in a fast-paced, collaborative environment focused on continuous learning and Job Types: Full-time, Permanent Schedule: Day shift Experience: AI/ML : 3 years (Required) Work Location: In person