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Job Description

Description :


Role : AI/ML - Data Science Freshers


Education : Tier-1 (IIT/IIM/BITS/IIIT/NIT) / Top most engineering Graduates only


Full Time graduates from above mentioned colleges to considered as a must


Work Location : Hyderabad


AI/ML Development :


- Design, build, and optimize machine learning and deep learning models.

- Work on supervised, unsupervised, and reinforcement learning techniques.


- Develop NLP, computer vision, or generative AI solutions based on project requirements.

- Perform feature engineering, data preprocessing, and data quality validation.


Solution Design & Implementation :


- Translate business requirements into scalable AI solutions.

- Build end-to-end ML pipelines from data ingestion to model deployment.

- Implement inference pipelines for real-time and batch processing.


MLOps & Deployment :


- Deploy AI models using Docker, Kubernetes, CI/CD pipelines, and cloud platforms

(AWS/Azure/GCP).


- Monitor production models, handle drift detection, retraining, and model versioning.

- Ensure high availability, security, and performance of deployed AI solutions.


Data Engineering :


- Work with large datasets, data lakes, and cloud storage systems.

- Collaborate with data engineering teams to design efficient data pipelines.



- Develop ETL/ELT workflows as needed for AI workloads.


Research & Innovation :


- Stay updated on the latest AI technologies, tools, and frameworks.

- Evaluate and integrate LLMs (e.g., GPT, Llama), vector databases, and prompt-engineering strategies.


- Contribute to POCs, prototypes, and innovation initiatives.


Technical Skills (Mandatory) :


Programming & Frameworks :


- Python (strong proficiency)

- ML libraries : Scikit-learn, Pandas, NumPy


- Deep learning frameworks : TensorFlow, PyTorch

- NLP/LLM frameworks : Hugging Face Transformers, LangChain, OpenAI APIs



- Computer Vision : OpenCV, YOLO, CNN architectures


MLOps Tools :


- Docker, Kubernetes

- CI/CD : GitHub Actions, Jenkins, Azure DevOps


- Model serving : MLflow, TensorFlow Serving, TorchServe

- Monitoring : Prometheus, Grafana


Cloud Platforms :


- AWS (SageMaker, Lambda, EC2, S3), or Azure ML, or GCP Vertex AI


Databases :


- SQL & NoSQL databases

- Vector databases : Pinecone, Milvus, ChromaDB




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