Idolize Business Solutions - Agentic AI & ML Engineer - Python

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 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 work

Roles 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 sources

Agentic 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 systems

Deployment & 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 practices

Collaboration & 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 value

Qualifications :

- 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 Engineer

- 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.