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AI-ML Engineer

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Onsite

AI-ML Engineer

Tis Labs

AI-ML Engineer

Skills

Deep LearningDjangoPythonData SciencePyTorchTensorFlowMachine LearningAINLP / Natural Language Processing

1 month ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


Job Summary

Dear Candidate, We are excited to share an excellent career opportunity with TIS Labs Pvt. Ltd. for the position of AI-ML Engineer.

Position Details

  • Role: AI-ML Engineer
  • Position: Permanent
  • Location: Mumbai
  • Experience: 4+ years
  • Working Days: 5 Days
  • Notice Period: Immediate or 30 days max
  • Mandatory Skillset: AI/ML, Python, Django, NLP

Responsibilities

  • Model Development & Implementation: Lead the design, development, and deployment of machine learning models and algorithms in close collaboration with the AI/ML team.
  • Data Pre-processing & Feature Engineering: Oversee the data preparation pipeline, including pre-processing and feature engineering, ensuring the quality and efficiency of model inputs.
  • Model Evaluation & Optimization: Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and efficiency.
  • Scalability & Advanced Techniques: Apply advanced methodologies to optimize model performance when working with large-scale datasets.
  • AI/ML Model Integration: Spearhead the integration of AI/ML models into the product ecosystem, seamlessly embedding them within product features.
  • AI/ML Deployment with Django: Utilize Django for deploying machine learning models as web applications, ensuring seamless interaction between models and users.
  • Innovation & Knowledge Sharing: Stay current with the latest advancements in AI/ML technologies, and actively contribute to the teams knowledge base while fostering a culture of innovation.

Technical Skills

  • Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques.
  • Strong familiarity with deep learning frameworks and neural network architectures.
  • Experience with Django for deploying machine learning models as web applications.

Requirements

  • Educational Qualifications: BSc-IT, BCA, MCA, Bachelors or Masters degree in Computer Science or IT, Data Science, or a related field.
  • Professional Experience: 3-5 years of hands-on experience in developing and deploying machine learning solutions.
  • Problem-Solving: Exceptional programming and analytical skills, with a proven ability to solve complex problems.
  • Collaboration & Communication: Excellent communication skills, with the ability to work effectively in a collaborative team environment.
  • Attention to Detail & Autonomy: Strong attention to detail and the ability to work autonomously in a fast-paced environment.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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