AI/ML Engineer

0 years

1 - 5 Lacs

Posted:11 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Overview

We are seeking an experienced AI/ML Developer & Trainer to design, develop, and deploy machine learning solutions while also training teams and clients on AI/ML concepts, tools, and best practices. The ideal candidate has strong technical expertise in machine learning engineering along with excellent communication and teaching skills.

Key ResponsibilitiesAI/ML Development

  • Design, build, and deploy machine learning and deep learning models.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Implement end-to-end ML pipelines (data ingestion → model training → deployment).
  • Develop and optimize algorithms for prediction, classification, NLP, computer vision, etc.
  • Integrate ML models into production systems using APIs or cloud services.
  • Monitor, evaluate, and retrain models to maintain performance.

Training & Mentorship

  • Create and deliver training programs, workshops, and hands-on sessions on AI/ML topics.
  • Explain complex technical concepts in simple, accessible language.
  • Prepare training materials such as slides, code samples, and project assignments.
  • Mentor junior developers and guide AI/ML project teams.
  • Conduct assessments to evaluate learning outcomes.

Required Skills & Qualifications

  • Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field.
  • Strong proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
  • Experience with machine learning model development, training, tuning, and deployment.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tools.
  • Understanding of LLMs, Generative AI, and modern transformer-based models.
  • Excellent communication and presentation skills.
  • Ability to create training content and teach diverse audiences.

Preferred Qualifications

  • Experience building RAG systems, fine-tuning LLMs, or deploying model APIs.
  • Familiarity with containerization (Docker), CI/CD, and orchestration (Kubernetes).
  • Prior experience as a trainer, teacher, or mentor.
  • Certification in AI/ML or cloud technologies.

What We Offer

  • Opportunity to work on real-world AI/ML applications.
  • Flexible environment to deliver training and build tech content.
  • Collaboration with a skilled team of engineers, researchers, and trainers.
  • Strong career growth in both technical and instructional tracks.

Job Types: Part-time, Contractual / Temporary, Freelance
Contract length: 12 months

Pay: ₹15,000.00 - ₹45,000.00 per month

Work Location: In person

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