AI/ML Engineer (Python)

Role & responsibilities

Experience: 5-12 Years

Location: Bangalore

Employment Type: Full-Time

Preferred candidate profile

We are looking for a talented AI/ML Engineer with strong expertise in Python, Machine Learning, Generative AI, and Artificial Intelligence solutions. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models, building intelligent applications, and integrating AI solutions into business processes to drive innovation and automation.

Key Responsibilities

Design, develop, and deploy Machine Learning and AI solutions.

Build and optimize predictive models using structured and unstructured data.

Develop AI applications using Python and modern AI/ML frameworks.

Implement data preprocessing, feature engineering, model training, and model evaluation.

Develop and integrate Generative AI and LLM-based solutions.

Build Retrieval-Augmented Generation (RAG) applications and AI assistants.

Collaborate with Data Engineers, Product Teams, and Business Stakeholders to identify AI use cases.

Deploy models into production environments and monitor model performance.

Perform model tuning and optimization to improve accuracy and efficiency.

Ensure AI models meet security, governance, and compliance standards.

Required Skills

Strong programming skills in Python.

Experience with Machine Learning, Deep Learning, and AI concepts.

Hands-on experience with:

Scikit-learn

TensorFlow

PyTorch

Keras

Strong understanding of:

Supervised Learning

Unsupervised Learning

Classification

Regression

Clustering

Experience with data manipulation libraries:

Pandas

NumPy

Matplotlib

Strong SQL skills for data analysis and model development.

Experience with REST API integration and model deployment.

Preferred Skills

Generative AI

Large Language Models (LLMs)

OpenAI / Azure OpenAI

LangChain

LangGraph

CrewAI

RAG Frameworks

Prompt Engineering

Vector Databases (Pinecone, ChromaDB, FAISS)

MLOps / LLMOps

MLflow

Docker

Kubernetes

Cloud Platforms

Microsoft Azure

AWS

Google Cloud Platform (GCP)

Education

Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Nice to Have

Experience with Computer Vision, NLP, or Recommendation Systems.

Experience building AI copilots and intelligent automation solutions.

Knowledge of Responsible AI and AI Governance frameworks.

Experience with Databricks or Microsoft Fabric.

Key Competencies

Artificial Intelligence

Machine Learning

Generative AI

Problem Solving

Analytical Thinking

Innovation Mindset

Model Optimization

Stakeholder Collaboration