AI/ML Engineer

Posted on September 8, 2026

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Job Description

AI/ML Engineer – Full-Time

Overview

We are looking for a skilled AI/ML Engineer to design, develop, deploy, and maintain machine learning and AI solutions. The ideal candidate should have strong hands-on experience in Python, machine learning, deep learning, Generative AI, and LLM-based applications.

Key Responsibilities

  • Design and develop end-to-end AI/ML solutions for business use cases.
  • Build, train, evaluate, and optimize machine learning and deep learning models.
  • Develop Generative AI and LLM-based applications using modern frameworks and APIs.
  • Work with RAG, embeddings, vector databases, prompt engineering, and AI agents.
  • Develop and integrate REST APIs and AI services using Python.
  • Perform data preprocessing, feature engineering, model validation, and performance optimization.
  • Deploy ML/AI models into production and support MLOps practices.
  • Collaborate with data engineers, software developers, product teams, and business stakeholders.
  • Monitor model performance and continuously improve AI solutions.
  • Ensure solutions are scalable, secure, reliable, and production-ready.

Required Skills

  • Strong hands-on experience with Python.
  • Strong knowledge of Machine Learning and Deep Learning.
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
  • Experience with Generative AI / LLMs.
  • Knowledge of RAG, LangChain/LlamaIndex, embeddings, vector databases, and prompt engineering.
  • Experience with REST APIs and microservices.
  • Good understanding of SQL and data processing.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Understanding of Docker, Git, CI/CD, and MLOps is preferred.
  • Strong problem-solving and communication skills.

Preferred Skills

  • Experience with OpenAI / Azure OpenAI or other LLM platforms.
  • Experience building AI agents and enterprise GenAI applications.
  • Knowledge of NLP, computer vision, or recommendation systems.
  • Experience deploying AI applications in production environments.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Other Details

Interested candidates can share their updated CV along with:

  • Total Experience
  • Relevant AI/ML Experience
  • Current CTC
  • Expected CTC
  • Notice Period / Last Working Day
  • Current Location
  • LinkedIn Profile

Required Skills

No specific skills listed.

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