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