Key Skills: Machine Learning, AWS, AI/ML, Rapid Api, Generative AI, Python, Tensorflow, Agentic AI, Open AI

Roles and Responsibilities:
Design, develop, and deploy AI/ML and Generative AI solutions for production environments.
Build and maintain scalable machine learning pipelines and MLOps workflows.
Develop REST APIs using FastAPI to serve AI/ML models and applications.
Train, evaluate, optimize, and deploy machine learning models using TensorFlow, PyTorch, or Keras.
Develop and integrate LLM-based applications using OpenAI APIs and Agentic AI frameworks.
Implement CI/CD pipelines for ML model deployment and automate model lifecycle management.
Deploy AI solutions on cloud platforms such as AWS, Azure, or GCP using containerized environments.
Collaborate with data engineering and cross-functional teams to integrate AI solutions into enterprise applications.
Monitor model performance, troubleshoot production issues, and continuously improve AI systems.
Document technical designs, deployment processes, and best practices.

Skills Required:
Robust experience in Machine Learning, AI/ML, and Generative AI.
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch,



or Keras.
Experience developing APIs using FastAPI.
Hands-on experience with OpenAI APIs, LLMs, Prompt Engineering, and Agentic AI.
Experience building and deploying production-grade ML pipelines.
Strong understanding of MLOps, ML lifecycle, model deployment, and monitoring.
Experience with MLflow, Kubeflow, AWS SageMaker, Vertex AI, Airflow, Prefect, DVC, or Weights & Biases.
Knowledge of Docker, Kubernetes, Kafka, Git, and CI/CD tools such as Jenkins.
Experience working with AWS, Azure, or GCP cloud platforms.
Understanding of statistical modeling, data mining, and unstructured data analytics.
Experience integrating AI solutions with data engineering pipelines.

Positive to Have
Experience with cloud orchestration and infrastructure automation.
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.
Familiarity with third-party API integrations and microservices architecture.
AWS, Azure, or Google Cloud AI/ML certifications.

Education: Bachelor's Degree in related field

📌 Ai/ml Developer Hyderabad
🏢 Careernet
📍 Hyderabad