Role Summary:

- Design, develop, and deploy AI/ML models using Python, TensorFlow, PyTorch, Keras, and Hugging Face frameworks.

- Build scalable solutions in NLP, Computer Vision, Predictive Analytics, and Generative AI applications.

- Perform data preprocessing, feature engineering, model training, evaluation, and optimization using Pandas, NumPy, and Spark.

- Deploy and monitor ML models using FastAPI, TensorFlow Serving, TorchServe, Triton, and cloud platforms like AWS/GCP/Azure.

- Collaborate with cross-functional teams and implement MLOps practices using CI/CD, MLflow, DVC, and Airflow pipelines.

Core Skills:

- Strong programming skills in Python

- Experience with ML frameworks: TensorFlow, PyTorch, Keras, JAX, Hugging Face

Expertise In:

- NLP, Computer Vision, Predictive Modeling,



or Generative AI

Model Deployment:

- TensorFlow Serving, TorchServe, FastAPI, Triton

Data Processing:

- Pandas, NumPy, Spark

Fundamentals:

- Solid understanding of ML concepts, deep learning, and statistics

Cloud & MLOps:

- AWS / GCP / Azure

- CI/CD, MLflow, DVC, Airflow

Good to Have:

- Distributed training, vector databases (FAISS, Pinecone, Chroma), GPU acceleration

- Prompt engineering, RAG frameworks, multi-agent systems

- LLM fine-tuning (LoRA, QLoRA, PEFT)

- Real-time inference, model optimization, quantization

- Relevant certifications

📌 AI/ML Engineer (Hyderabad)
🏢 Photon
📍 Hyderabad