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Machine Learning Engineer

India, Republic Of India, Bengaluru
Last update 2025-02-08
Expires 2025-03-08
ID #2566589463
Free
Machine Learning Engineer
India, Republic Of India, Bengaluru,
Modified January 24, 2025

Description

We are looking for an exceptional Senior Machine Learning Engineer to join our fast-paced and innovative team. This role is for a highly driven individual passionate about building state-of-the-art recommendation systems to deliver hyper-personalized user experiences at scale.


As a Senior ML Engineer, you will take charge of developing, deploying, and optimizing machine learning models to rank and recommend content dynamically for millions of users. Your work will directly influence key metrics, such as content shares and daily app launches, ensuring users engage more deeply and frequently with the platform. If you thrive on solving real-world ML challenges and driving measurable impact through your expertise, we want you on our team.


Responsibilities:

  • Design and Build Recommendation Systems :
    Develop advanced ranking algorithms to deliver personalized content tailored to user preferences and behaviors.
  • Optimize Key Metrics :
    Engineer solutions that directly boost user engagement metrics, such as shares, app launches, and session durations, through better recommendations.
  • End-to-End ML Lifecycle Ownership :
    Lead the complete ML pipeline, including data preprocessing, feature engineering, model development, training, evaluation, and deployment.
  • Scalable Deployments :
    Build and maintain scalable, production-ready ML systems to support millions of users, ensuring high availability and low latency.
  • Experimentation and Iteration :
    Continuously experiment with new models and architectures to improve recommendation accuracy and relevance.
  • Cross-functional Collaboration :
    Work closely with product, engineering, and analytics teams to align recommendations with business goals.
  • Stay on the Cutting Edge :
    Explore and implement the latest advancements in machine learning, deep learning, and AI, particularly in recommendation systems and ranking models.
  • Requirements:

    • Educational Background :
      BE/M. Tech/Ph D in Computer Science, Machine Learning, Data Science, or related fields.
    • Experience :
    • 3+ years of hands-on experience in machine learning or recommendation systems.
    • Proven track record of delivering impactful ML projects at scale.
    • Technical Expertise :
    • Strong understanding of machine learning algorithms and deep learning principles, particularly in ranking, personalization, and recommendation systems.
    • Proficiency in NLP techniques for understanding user behavior and context.
    • Experience with Python, ML frameworks (Py Torch/Tensor Flow), and production-grade coding practices.
    • Data Handling :
    • Expertise in handling large-scale datasets and feature engineering.
    • Familiarity with databases (e. G., Postgres, My SQL) and vector search engines.
    • Cloud and Tools :
      Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
    • Metrics-Driven Development :
      Proven ability to design experiments and evaluate models using metrics like CTR, precision, recall, and F1 score.
  • Bonus Points For:

    • Experience with real-time recommendation systems.
    • Familiarity with graph-based approaches and knowledge graphs.
    • Contributions to open-source ML projects or participation in ML competitions (Kaggle, Neur IPS, etc.).
    • Research publications or patents in recommendation engines, deep learning, or related fields.
  • What We Offer:

    • The opportunity to work on a cutting-edge ML product that directly impacts millions of users.
    • A collaborative and learning-driven environment with ample room for growth.
    • Competitive compensation and benefits.
    • A chance to solve some of the most challenging problems in user engagement and personalization.
  • Join us and redefine how millions of users discover and engage with personalized content every day!

    Job details:

    Job type: Full time
    Contract type: Permanent
    Salary type: Monthly
    Occupation: Machine learning engineer

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