As an agentic AI-ML Engineer, you will design, develop, and deploy machine learning models and AI agents that solve real-world business problems. You will work with structured and unstructured data, build predictive models, and create autonomous AI systems using state-of-the-art frameworks. This is a hands-on role where you'll contribute to the full lifecycle of AI / ML projects from conception to production.
Required Skills : Technical Skills :
- Strong foundation in Data Science and Machine Learning concepts (supervised / unsupervised learning, feature engineering, model evaluation)
- Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar
- Proficiency in Python and data manipulation libraries (Pandas, NumPy, Matplotlib / Seaborn)
- Solid understanding of LLM fundamentals including prompt engineering, embeddings, vector databases, and retrieval techniques
- Practical experience with Agentic AI frameworks such as LangChain and LangGraph
- Knowledge of building AI agents with reasoning, planning, and tool-use capabilities
- Familiarity with RAG (Retrieval-Augmented Generation) architectures
- Understanding of APIs and integration patterns for AI systems
- Experience with SQL and working with databases
Preferred Skills :
Exposure to cloud platforms (AWS, Azure, or GCP) for ML deploymentKnowledge of MLOps practices and tools (MLflow, Docker, CI / CD)Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)Familiarity with OpenAI API, Anthropic Claude, or other LLM providersUnderstanding of fine-tuning techniques for LLMsExperience with version control systems (Like Git and Bitbucket)Soft Skills :
Strong problem-solving and analytical thinkingExcellent communication skills to explain technical concepts to non-technical stakeholdersAbility to work collaboratively in cross-functional teamsSelf-motivated with a passion for staying updated on AI / ML advancementsAttention to detail and commitment to delivering quality workRoles and Responsibilities :
Machine Learning & Data Science :
Develop, train, and evaluate machine learning models for predictive analytics, classification, regression, and clustering tasksPerform exploratory data analysis (EDA) to extract insights and identify patterns in complex datasetsDesign and implement feature engineering pipelines to optimize model performanceConduct model validation, hyperparameter tuning, and performance monitoringWork with structured and unstructured data from various sourcesAgentic AI & LLM Development :
Build intelligent AI agents using LangChain and LangGraph frameworks that can reason, plan, and execute tasks autonomouslyDesign and implement multi-step workflows with tool-calling capabilities and decision-making logicDevelop RAG systems that combine LLMs with proprietary knowledge basesCreate prompt templates and chains for optimal LLM performanceIntegrate LLMs with external APIs, databases, and third-party servicesImplement memory management and state handling for conversational AI systemsDeployment & Optimization :
Deploy ML models and AI agents into production environmentsOptimize model inference for performance and cost-efficiencyMonitor model performance and implement retraining pipelines as neededDocument technical implementations, architectures, and best practicesCollaboration & Innovation :
Collaborate with product managers, engineers, and business stakeholders to understand requirements and deliver AI solutionsStay current with the latest developments in AI / ML, especially in the LLM and agentic AI spaceParticipate in code reviews and contribute to team knowledge sharingPropose innovative solutions to leverage AI for business valueQualifications :
Education : Bachelor's or Master's degree in CS, IT, Data Science or AIExperience : 1-3 years of hands-on experience in data science, machine learning, or AI development (We would like to only consider candidates with max 3 years exp)Freshers can also be considered provided you are possessing above mentioned skills and passionate to build your career as an AI ML EngineerWhat is in it for you :
Live Use-Cases from Day 1 : Drive production AI and automation projects across Banking, NBFC, Manufacturing and Insurance.High-Performing Culture : Work alongside passionate, subject-matter experts who thrive on innovation and excellence.Attractive Rewards : Competitive salary, performance-linked bonuses, and equity grants to recognize your impact.Modern, Central Office : AWFIS workspace in Thane Wagle Estate, with all amenities so you can focus on building solutions.(ref : hirist.tech)