Ai Ml Engineer

Role Name:Ai Ml Engineer / Developer

Experience: 3+ Years

Job Type: C2H

Project Duration: 6+ Month

Notice Period: Immediate - 30 days

Interview Mode: Virtual

Location: Bangalore / Mysuru

1. Objective

The role requires 7 L2 AI / ML Developer / Engineer resources for development, testing, integration and support of AI-based solutions for customer applications and operations. The resources will support AI use cases relating to IT 2.0 / APT applications, fraud risk management, helpdesk automation, analytics, monitoring, document processing, knowledge management and decision-support systems.

2. Role Summary

Primary Responsibility

Development, testing, integration and L2 support of AI / ML solutions

3. Key Responsibilities

1. Develop AI / ML models for identified use cases of customer.

2. Work on data collection, cleaning, preprocessing, feature engineering and exploratory data analysis.

3. Develop and test machine learning models for classification, prediction, anomaly detection, clustering, recommendation and risk scoring.

4. Support Natural Language Processing use cases such as text classification, summarisation, semantic search, chatbot support, grievance classification and knowledge assistant development.

5. Develop APIs for AI / ML model integration with existing applications and microservices.

6. Work on Generative AI use cases including document summarisation, SOP search, RAG-based knowledge systems and internal productivity tools.

7. Support integration of AI models with APT / IT 2.0 applications, dashboards, helpdesk systems and monitoring platforms.

8. Prepare scripts, notebooks, reusable code components and model testing reports.

9. Assist in model validation, accuracy testing, performance optimisation and bug fixing.

10. Provide L2-level production support for deployed AI / ML solutions.

11. Prepare technical documentation, deployment notes, user guides and SOPs.

12. Coordinate with application development, database, DevOps, security, testing and domain teams.

4. Required Technical Skills

• Python programming and good software development practices.
• Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Keras, XGBoost or equivalent.
• Data handling using Pandas, NumPy and SQL.
• Database knowledge such as PostgreSQL / MySQL / Oracle / MongoDB / Elasticsearch.
• API development using FastAPI / Flask / Django or equivalent.
• NLP, embeddings, semantic search, chatbots and text analytics.
• Basic knowledge of Generative AI, LLM integration and prompt engineering.
• Exposure to vector databases, RAG pipelines and model evaluation.
• Linux, Git, Docker and basic CI/CD knowledge.
• Dashboarding / visualisation tools such as Power BI, Grafana, Kibana, Streamlit or Dash.

5. Experience and Qualification

• Experience: Minimum 2-4 years of experience in AI / ML, data science, software development or analytics projects.
• Essential Qualification: Bachelors degree in Computer Science / IT / Electronics / AI / Data Science / Engineering or equivalent.
• Desirable: Certification in AI / ML / Data Science / Cloud / Cybersecurity.

6. Expected Deliverables

• Working AI / ML models for approved use cases.
• Cleaned and processed datasets.
• Model development notebooks, scripts and reusable code components.
• APIs and integration components for application teams.
• Test reports, model accuracy reports and performance reports.
• Deployment support documents, user guides and SOPs.
• Periodic production support and issue resolution reports.