Apply Now Machine Learning Engineer
3 weeks ago
Swift Media Entertainment (SME) is a company based in Los Angeles, CA. SME operates businesses in esports and develops technology for computer games. SME's portfolio includes TSM, a premier championship esports organization, Blitz, a tool for gaming improvement, and Dyno, a Discord server management solutions provider.
Role Description
As a Machine Learning Engineer, you will play an important role in shaping our AI driven products and services. Your primary focus will be scouring our data warehouse, transforming large data into Machine learning ready datasets. You will further assist in developing, evaluating, A/B testing and deploying Machine learning models into production.
Your Responsibilities Include
- Collaborating with internal teams to understand game data, existing features and identify opportunities for AI-driven features.
- Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights for our players.
- Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.
Qualifications (could be relaxed for skilled candidates)
- A Master's degree in Computer Science or related and 3+ or Bachelor’s and 5+ years of work experience in developing production grade machine learning.
- Excellent problem-solving and analytical skills.
- Proficiency in one or more programming languages such as Python, JS and C++.
- Deep experience with current-generation ML algorithms.
- Proficient with Python data stack (Pandas, Numpy, SKlearn, LightGBM, XGBoost, Matplotlib)
- Experience with a database query language such as SQL.
- Experience with scalable data processing tools (Spark, Dataflow or similar)
- Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.
- Gaming experience is a massive plus.
The above qualifications only serve as a baseline requirement. If you are a candidate who can demonstrate skills, we would be happy to consider you for the role.
Behavioral traits
- Desire for impact: ready to take on a responsibility and collaborate with your team.
- You’re an owner: driven, focused, and quick to take ownership of your work
- Humble: you seek out feedback and appreciate your colleagues.
- Growth-minded: you’re eager to expand your skill set and excited to demonstrate it with your work.
Compensation:
Salary range of INR 25 - 40 LPA (actual compensation will be determined based on experience, location, and other factors permitted by law).
Please do not DM or send connection requests. The hiring manager will evaluate your application and respond to you.
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