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Idolize Business Solutions - Agentic AI & ML Engineer - Python

Idolize Business Solutions - Agentic AI & ML Engineer - Python

Idolize Business SolutionsMumbai
2 days ago
Job description

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

    • What 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)

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