AI/ML Engineer

Job Role:

Experience: 3 to 6yrs

Location: Hyderabad(only)

Work Mode: Work from Office(4 Days)

Note: Preference will be given to candidates with experience in product-based companies.

About the Role

AI/ML Engineer

Key Responsibilities

• Design and implement AI/ML solutions

   for generative and predictive use cases using state-of-the-art models and frameworks.
• Develop, train, fine-tune, and optimize

  machine learning models

  , including

  LLMs, transformers, and forecasting models

  .

• Build and deploy RESTful APIs

   using

  FastAPI or Flask

   to serve AI/ML models efficiently.

• Containerize applications using Docker

   and ensure smooth deployment across environments.
• Collaborate with data engineers and backend teams to

  design scalable architectures

  —monolithic and microservice-based—for AI pipelines and APIs.
• Integrate APIs and models with frontend systems and ensure performance, security, and maintainability.
• Conduct

  model evaluation, A/B testing, and continuous improvement

   of deployed AI systems.
• Use tools like

  Postman

   for API testing and documentation.
• Monitor production systems, identify bottlenecks, and optimize for performance and scalability.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in

  Computer Science, AI/ML, Data Science, or related field

  .

• 3+ years of experience

   in developing and deploying machine learning or AI solutions.
• Proven expertise in

  Generative AI

   (LLMs, diffusion models, or embeddings) and

  Predictive AI

   (forecasting, regression, classification).
• Strong proficiency in

  Python

   and popular AI/ML frameworks such as

  PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers

  .
• Hands-on experience with

  FastAPI or Flask

   for model deployment and API design.
• Experience with

  Docker

   and container-based deployments.
• Understanding of

  software architecture principles

  , including

  monolithic and microservices design patterns

  .
• Strong knowledge of

  REST APIs

  ,

  Postman

  , and

  version control systems (Git)

  .
• Familiarity with

  cloud platforms

   (AWS, GCP, or Azure) and CI/CD pipelines is a plus.
• Excellent problem-solving, debugging, and collaboration skills.
• Experience with

  vector databases

  ,

  LLM fine-tuning

  , or

  retrieval-augmented generation (RAG)

  .
• Exposure to

  data pipelines

  ,

  message queues

  , and

  asynchronous architectures

  .
• Prior experience building

  AI-powered APIs for production-scale systems

  .

Good to Have

• Knowledge of

  MLOps tools

   (MLflow, Kubeflow, or similar).