Hello,

Greetings from ZettaMine Labs Pvt Ltd!!

We are looking for AI/ML Engineer with project opportunities.

Job Role: AI/ML Engineer

Location: Hyderabad

Work Mode: Hybrid / Onsite

Employment Type: Full-Time

Experience: 48 Years

Relevant Experience: Minimum 4 Years of hands-on experience in AI/ML Engineering with strong expertise in Python, Machine Learning, Generative AI, LLMs, RAG, and MLOps.

Mandatory: Python + Machine Learning + Deep Learning + TensorFlow/PyTorch/Scikit-learn + Generative AI + LLM + RAG + Prompt Engineering + Embeddings + Vector Databases + NLP/Computer Vision + MLOps + Docker + CI/CD + Cloud (AWS/Azure/GCP) + REST APIs + SQL + Git

REQUIREMENT FOR AI/ML ENGINEER:

Key Responsibilities:

- Design, develop, train, deploy, and maintain Machine Learning and Deep Learning models.
- Develop AI/ML solutions using Python, Scikit-learn, TensorFlow, and/or PyTorch.
- Work on Generative AI, Large Language Models (LLMs), NLP, and RAG-based applications.
- Build AI applications using LLM APIs, prompt engineering, embeddings, vector databases, and retrieval pipelines.
- Design, develop, and optimize RAG (Retrieval-Augmented Generation) solutions.
- Implement model evaluation, monitoring, performance optimization, and continuous improvement.
- Develop scalable ML pipelines covering data preparation, model training, validation, and deployment.
- Deploy AI/ML models using Docker, Kubernetes, and cloud platforms.
- Implement MLOps practices including model versioning, CI/CD, monitoring, and automated deployment.
- Integrate AI/ML models with enterprise applications and REST APIs.
- Collaborate with Data Engineers, Software Engineers,



Product Managers, and business stakeholders.
- Ensure AI solutions meet requirements related to security, scalability, reliability, and Responsible AI.
- Research, evaluate, and implement emerging AI/ML technologies and frameworks.

Who Can Apply?

4–8 years of hands-on experience in AI/ML Engineering.

Strong programming experience in Python.

Strong understanding of Machine Learning and Deep Learning concepts.

Hands-on experience with TensorFlow, PyTorch, and/or Scikit-learn.

Strong hands-on experience with Generative AI and LLMs.

Experience building RAG applications, prompt engineering, embeddings, and vector databases.

Knowledge of NLP and/or Computer Vision.

Experience building and deploying ML/AI models in production environments.

Valuable understanding of MLOps, Docker, CI/CD, and model deployment.

Experience with at least one major cloud platform such as AWS, Azure, or GCP.

Strong understanding of REST APIs, Git, SQL, and software development practices.

Good to Have:

- Experience with LangChain, LlamaIndex, Hugging Face, OpenAI, or similar LLM frameworks.
- Experience with vector databases such as Pinecone, FAISS, Milvus, Weaviate, or Chroma.
- Knowledge of Azure OpenAI, AWS Bedrock, or Google Vertex AI.




- Experience with Kubernetes and cloud-native AI platforms.
- Knowledge of MLflow, Kubeflow, Airflow, or similar MLOps tools.
- Experience with AI Agents / Agentic AI.
- Knowledge of Responsible AI, model governance, and AI security.

Key Technologies / Skills:

- AI/ML
- Machine Learning
- Deep Learning
- Python
- Generative AI
- LLM
- RAG
- NLP
- Prompt Engineering
- Embeddings
- Vector Databases
- LangChain
- LlamaIndex
- Hugging Face
- TensorFlow
- PyTorch
- Scikit-learn
- MLOps
- Docker
- Kubernetes
- AWS / Azure / GCP
- REST APIs
- SQL
- Git

Education:

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.

Please share the following details along with your updated resume:

Full Name:

Contact Number:

Current Location:

Total Experience:

Relevant AI/ML Experience:

Python Experience:

Machine Learning Experience:

Deep Learning Experience:

Generative AI/LLM Experience:

RAG Experience:

Prompt Engineering Experience:

Vector Database Experience:

TensorFlow/PyTorch/Scikit-learn Experience:

NLP/Computer Vision Experience:

MLOps Experience:

Docker/Kubernetes Experience:

Cloud Experience (AWS/Azure/GCP):

LangChain/LlamaIndex/Hugging Face Experience:

AI Agent/Agentic AI Experience:

MLflow/Kubeflow/Airflow Experience:

REST API/SQL/Git Experience:

Current Company:

Notice Period:

Current CTC:

Expected CTC:

For any further clarification, feel free to reach out at [email protected]

We look forward to connecting with you!

📌 Ai Ml Engineer (Bengaluru)
🏢 Zettamine Labs
📍 Bengaluru