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AI Engineer

2 - 5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About the Role


We are seeking a passionate and skilled AI Engineer with 2 to 5 years of hands-on experience to join our team. You will be responsible for designing, developing, and deploying machine learning and AI-based solutions that drive value across our products and services. If you have a strong foundation in AI/ML techniques and a desire to build impactful systems at scale, we’d love to connect.


Key Responsibilities


  • Design, build, and deploy AI/ML models to solve business problems.
  • Work with data scientists, engineers, and product managers to translate requirements into scalable AI solutions.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Optimize and fine-tune models for performance, accuracy, and scalability.
  • Stay up to date with the latest AI/ML research and incorporate best practices into development.
  • Collaborate in code reviews, model validation, and documentation efforts.


Required Skills & Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • 2–5 years of experience in building and deploying ML/AI models.
  • Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.).
  • Proficiency in data handling libraries like Pandas and NumPy.
  • Experience with NLP, Computer Vision, or Predictive Analytics is a plus.
  • Familiarity with ML lifecycle tools such as MLflow, Airflow, or similar.
  • Experience with cloud platforms (AWS/GCP/Azure) and model deployment practices.
  • Understanding of software engineering best practices including version control, CI/CD, and testing.


Good to have


  • Contributions to open-source AI/ML projects or publications in the field.
  • Experience with databases including vector databases (e.g., Qdrant, Chroma, Pinecone) and traditional databases (e.g., PostgreSQL, MongoDB)
  • Working with RESTful APIs for backend service integrations.

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