JOB DETAILS:

Role: Senior AI/ML Engineer (Generative AI & ML Ops)

Location: Bangalore, India (Hybrid)

Type of Hiring: Full Time

Job Description:

AI/ML Strategy and Leadership:
Define the AI/ML strategy and roadmap aligned with the product vision.
Identify and prioritize AI/ML use cases,
including classical ML
, Generative AI, and Agentic AI, relevant to our product offerings.
Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members.
Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems.

AI/ML Development:
Proficient in Python programming and libraries like NumPy, Pandas, Scikit-learn, and Matplotlib.
Solid understanding of machine learning algorithms, deep learning architectures, and generative AI models.
Design, develop,
and deploy classical machine learning models
, including supervised, unsupervised, and reinforcement learningtechniques.
Hands on Experience in AI/ML Framework like: Scikit-learn, XG Boost, TensorFlow,



Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models).
Experience with feature engineering, model evaluation, and hyperparameter tuning.
Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents.
Build and fine-tune generative AI models (e.g., GPT, DALL-E, Secure Diffusion) for specific use cases.
Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems.
Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in agile environments.
Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks.
Optimize models for performance, scalability, and cost-efficiency.

ML Ops and DevOps for AI/ML:
Establish and maintain an end-to-end MLOps pipeline for model development, deplo

📌 Senior Ai/ml Engineer Bengaluru (India)
🏢 Ibu
📍 India