Idolize Business Solutions

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 databasesPreferred Skills : - Exposure to cloud platforms (AWS, Azure, or GCP) for ML deployment- Knowledge 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 providers- Understanding of fine-tuning techniques for LLMs- Experience with version control systems (Like Git and Bitbucket)Soft Skills : - Strong problem-solving and analytical thinking- Excellent communication skills to explain technical concepts to non-technical stakeholders- Ability to work collaboratively in cross-functional teams- Self-motivated with a passion for staying updated on AI/ML advancements- Attention 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 tasks- Perform exploratory data analysis (EDA) to extract insights and identify patterns in complex datasets- Design and implement feature engineering pipelines to optimize model performance- Conduct model validation, hyperparameter tuning, and performance monitoring- Work 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 autonomously- Design and implement multi-step workflows with tool-calling capabilities and decision-making logic- Develop RAG systems that combine LLMs with proprietary knowledge bases- Create prompt templates and chains for optimal LLM performance- Integrate LLMs with external APIs, databases, and third-party services- Implement memory management and state handling for conversational AI systemsDeployment & Optimization : - Deploy ML models and AI agents into production environments- Optimize model inference for performance and cost-efficiency- Monitor model performance and implement retraining pipelines as needed- Document technical implementations, architectures, and best practicesCollaboration & Innovation : - Collaborate with product managers, engineers, and business stakeholders to understand requirements and deliver AI solutions- Stay current with the latest developments in AI/ML, especially in the LLM and agentic AI space- Participate in code reviews and contribute to team knowledge sharing- Propose innovative solutions to leverage AI for business valueQualifications : - Education : Bachelor's or Master's degree in CS, IT, Data Science or AI- Experience : 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)