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Senior Machine Learning Engineer

2 months ago


Bengaluru, India Bloomingo Full time

Job Title: Senior Machine Learning Engineer

Location: Bangalore, Karnataka, India (Relocation to Bangalore Required)

Job Type: On-Site | Full-time

Experience Level: 4+ Years (as Machine Learning Engineer)


Required: Experience in building recommendation engine for any product-based startup from scratch.


Company Overview: We are a startup in Ideation Stage, building a platform that will revolutionize the Fashion Industry. We want to build recommendation engine like YouTube and Instagram. Our platform will recommend image posts, videos and eCommerce products according to user's interests.


To achieve this, we’re looking for a Senior Machine Learning Engineer who can develop the Machine Learning models to build our recommendation engine.


You'll be joining our product team as one of three key engineers, working alongside a Senior Backend Engineer and a Senior Frontend Engineer. Together, you'll play a crucial role in shaping the development of our platform.


Key Responsibilities


  • Develop and implement machine learning models to build the recommendation engine of our platform.
  • Analyze user behavior data to optimize and improve the accuracy of recommendations.
  • Utilize advanced recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid models, to enhance user engagement.
  • Work closely with data engineers to ensure the availability, quality, and reliability of the data used for training models.
  • Continuously evaluate model performance using appropriate metrics and iterate on models to improve recommendation precision and user satisfaction.
  • Stay updated with the latest research and developments in machine learning and recommendation systems to integrate cutting-edge techniques into our platform.


What makes you a great fit for us:

  • Experience in building recommendation engine for any product-based startup from scratch.
  • Is super-ambitious in nature and wants to work in a fast-paced learning and hustling environment.


Key Qualifications


  • 4+ years of experience in machine learning, with a focus on building and deploying recommendation systems.
  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Deep understanding of recommendation algorithms (e.g., collaborative filtering, content-based filtering, hybrid models).
  • Strong background in data preprocessing, feature engineering, and model evaluation techniques.
  • Solid foundation in statistics and data analysis to drive insights and model improvements.
  • Strong communication skills to work effectively with cross-functional teams, including data engineers, backend developers, cloud architects and frontend developers.


What We Offer:


  • Competitive salary and equity options.
  • You will be in our startup's product Tech Team.
  • Opportunity to work in a fast-paced startup environment with a dynamic and innovative team.
  • The chance to make a significant impact on the development of a cutting-edge platform.
  • Continuous learning and professional growth opportunities.