Machine Learning Engineer

4 weeks ago

delhi, India Blossom Social Full time
Company Description
Blossom Social is a community of over 100,000 investors sharing their verified stock portfolios, trades, and investment ideas. Our mission is to empower the world to make better financial decisions and build an inclusive community for everyone to learn and take control of their finances together. Join us and discover new investment ideas, manage your stock portfolio, grow your knowledge with Blossom Learn, and earn money while learning about new stocks.
Role Description
We are seeking a Machine Learning Engineer with a knack for data-driven solutions and a passion for deep learning technologies. In this role, you will be primarily responsible for optimizing and personalizing the user experience on our timeline feed, ensuring that our users receive the most relevant and engaging content. You will work closely with our backend team to implement scalable machine learning models that drive our core product enhancements.
Responsibilities
Develop and deploy advanced machine learning models to personalize and enhance the user experience on our timeline feed.
Collaborate with the product team to understand user interactions and define clear objectives for model improvements.
Implement NLP techniques to analyze and interpret user-generated content within the timeline feed.
Optimize algorithms for relevance and real-time performance, enabling personalized content delivery at scale.
Use A/B testing frameworks to test model predictions and ensure the effectiveness of the algorithms in a live environment.
Maintain and improve the existing machine learning infrastructure, ensuring robustness and scalability as the user base expands.
Stay ahead of industry trends and advancements in machine learning and AI to continually bring innovative solutions to our platform.
Requirements
Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on Machine Learning.
3+ years of experience in building and implementing machine learning models in a production environment.
Proficiency in programming languages such as Python or R, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with natural language processing and real-time analytics systems.
Demonstrated ability to write robust code in SQL and Python for data analysis and model development.
Strong analytical skills with an emphasis on product development and customer experience.
Experience with cloud platforms like AWS, Azure, or Google Cloud, and technologies such as Docker or Kubernetes is a plus.
Why Join Blossom? Joining Blossom means you're part of a vibrant startup poised to revolutionize the investing experience. We offer competitive salaries, equity packages, and the opportunity for rapid career growth in a challenging and rewarding work environment. You’ll work on groundbreaking problems with a team of dedicated and talented professionals committed to innovation and quality.
Ready to take on a challenge that impacts millions of investors worldwide?

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