Job Description: Senior Engineer GenAI / Machine Learning / Python / AWS

Experience: 5–7 Years
Location: [Add Location / Remote / Hybrid]

Role Overview

We are seeking a highly skilled Senior Engineer with strong expertise in Generative AI (GenAI), Machine Learning, Python, and AWS. The ideal candidate will design, build, and deploy scalable AI/ML solutions, including Generative AI applications leveraging LLMs, while ensuring performance, reliability, and production readiness.

Key Responsibilities

1. GenAI & ML Model Development

- Design and develop machine learning and Generative AI solutions for real-world business problems.
- Build applications using Large Language Models (LLMs) such as GPT, Llama, etc.
- Implement RAG (Retrieval-Augmented Generation) pipelines.
- Fine-tune or adapt pre-trained models where applicable.

2. Application Development (Python)

- Develop robust backend services and pipelines using Python.
- Work with libraries and frameworks such as:
- TensorFlow, PyTorch, Scikit-learn
- LangChain, LlamaIndex (preferred)

- Build APIs to expose ML/GenAI capabilities.

3. Cloud & AWS Implementation

- Design and deploy ML/AI solutions on AWS cloud platform.
- Work with services such as:
- SageMaker
- Lambda
- S3, EC2, RDS
- API Gateway
- Bedrock (for GenAI) – preferred

- Ensure scalability, monitoring, and cost optimization of AI workloads.

4. Data Engineering & Processing

- Work with structured and unstructured data.
- Build data pipelines, preprocessing, and feature engineering workflows.
- Ensure high-quality datasets for model training and validation.

5. Model Deployment & MLOps

- Deploy models into production using MLOps practices.
- Implement CI/CD for ML pipelines.
- Monitor model performance, drift, and retraining needs.
- Use tools like Docker, Kubernetes, MLflow (positive to have).

6. System Design & Integration

- Design scalable AI/ML architectures integrated with enterprise systems.




- Collaborate with product and engineering teams to embed AI capabilities.
- Ensure security, compliance, and responsible AI practices.

7. Research & Innovation

- Stay updated with the latest advancements in GenAI and ML.
- Evaluate new tools, models, and frameworks.
- Drive innovation and proof-of-concepts (POCs).

Required Skills

Core Technical Skills

- Strong experience in:
- Python programming
- Machine Learning algorithms and concepts
- Generative AI / LLM-based applications

- Hands-on experience with:

- PyTorch / TensorFlow / Scikit-learn
- LangChain / LLM orchestration frameworks

- Experience in building and deploying REST APIs.

Cloud & DevOps

- Strong experience with AWS services for ML and application deployment.
- Knowledge of:
- CI/CD tools
- Containerization (Docker)
- Orchestration (Kubernetes – plus)

Data Skills

- Experience with:
- Data preprocessing and feature engineering
- SQL / NoSQL databases
- Handling large-scale datasets

Preferred Skills

- Experience with:
- RAG architectures and vector databases (Pinecone, FAISS, OpenSearch)
- Prompt engineering and prompt optimization
- Fine-tuning LLMs

- Knowledge of:

- Responsible AI, AI governance
- Model explainability tools

Soft Skills

- Strong analytical and problem-solving mindset.
- Excellent communication and stakeholder management.
- Ability to work independently and lead technical initiatives.
- Innovative thinking and curiosity for emerging technologies.

Educational Qualifications

- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.

Nice to Have

- Certifications in:
- AWS (ML Specialty / Solutions Architect)

- Experience in domains like:

- Healthcare, Finance, Retail analytics

Summary

This role is ideal for professionals passionate about building next-generation AI applications using Generative AI and Machine Learning, with strong foundations in Python and cloud technologies (AWS). You will play a critical role in driving AI innovation and delivering scalable intelligent solutions.

📌 AIML Engineer With GenAI, Python, AWS (Hyderabad)
🏢 CGI
📍 Hyderabad