AIML Developer

JD AI/ML Engineer

Company:

About the Role

AI/ML Engineer

Key Responsibilities

• Design, develop, and deploy

  Machine Learning

  and

  Deep Learning

  models for production use cases.
• Build scalable

  RESTful APIs

  using

  FastAPI

  or

  Flask

  to integrate ML models into applications.
• Work with

  Python, SQL, and MongoDB

  for data ingestion, preprocessing, and feature engineering.
• Implement ML/DL solutions using

  PyTorch

  ,

  TensorFlow

  , and

  Scikit-learn

  .
• Work with

  Generative AI models

  , leveraging them via APIs for project requirements.
• Build or integrate

  agentic AI frameworks

  (e.g., LangGraph, AutoGen, CrewAI) for automated workflows.
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Document model development processes and maintain high-quality, reproducible code.
• Apply analytical thinking to evaluate model performance and troubleshoot ML issues.

Required Skills & Experience

• 2-4 years

  of professional experience in AI/ML engineering roles.
• Strong programming skills in

  Python

  .
• Experience with

  FastAPI

  or

  Flask

  for building production-level APIs.
• Proficiency in

  SQL

  and hands-on experience with

  MongoDB

  .
• Experience with ML/DL frameworks:

• PyTorch

  or

  TensorFlow

• Scikit-learn

• Exposure to

  Generative AI

  and ability to use LLMs through APIs.
• Experience developing

  agentic AI workflows

  .
• Strong analytical and problem-solving skills to convert business challenges into ML solutions.

• Version Control:

  Familiarity with

  Git

  , branching strategies, and collaborative development workflows.

• Continuous Learning:

  Passion for exploring new algorithms, open-source frameworks, and emerging AI/ML technologies.

Good to Have

• Experience working with

  LLMs

  in training, fine-tuning, or hosting.
• Experience using

  Retell, VAPI, or similar platforms

  to build real-time voice bots or custom voice solutions (including open-source tools).
• Experience delivering

  Generative AIbased projects

  (text, image, or multimodal).
• Knowledge of cloud services (AWS, GCP, Azure), Docker, or containerized deployment.
• Experience with RAG (Retrieval-Augmented Generation), vector databases, or ML Ops tools.

Education

Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related fields (or equivalent practical experience).

If interested, Drop an mail to hr@pmdgtech.com