
Senior Machine Learning Engineer
3 weeks ago
About the Role :
You will join a cutting-edge team building personalized, AI-driven experiences for PlayStation users, impacting millions globally.
This role blends deep technical expertise in ML, DL, and AI with leadership responsibilities, working cross-functionally across Engineering and Product teams.
Youll drive innovation using advanced ML technologies, contribute to architectural decisions, and mentor other team members, ensuring consistent delivery of high-impact solutions.
Key Responsibilities :
Design, develop, and deploy large-scale ML/DL models for production use in areas such as :
- Content personalization
- Predictive safety
- Search and recommendation systems
- Time series forecasting
- Conversational AI/Virtual assistants
- Build and optimize data pipelines, model training workflows, and scalable deployment architectures.
- Lead ad-hoc POCs and R&D initiatives on new AI/ML technologies (e.g., LLMs, Transfer Learning, NLP models).
- Translate business problems into clear ML problem statements and propose optimized technical solutions.
- Configure and execute A/B testing and define evaluation metrics to validate model performance both offline and online.
- Collaborate with Product Managers, Engineers, and Analysts to understand requirements and deliver business impact.
- Mentor junior engineers, conduct training sessions, and support team upskilling through knowledge-sharing initiatives.
- Ensure best practices in code quality, version control, CI/CD pipelines, and ML monitoring.
Primary Skills Required :
Core Domains :
- Data Science
- Machine Learning
- Artificial Intelligence
- Statistics
- Deep Learning
ML Techniques :
- NLP, Text Classification, Language Modeling
- Linear Regression, Classification, Clustering
- Transfer Learning
- Forecasting models & algorithms
- Large Language Models (LLMs)
ML Frameworks & Tools:
- TensorFlow, PyTorch, MLlib
- Databricks, Spark, Python, SQL
- Kubernetes, Jenkins, Prometheus
Qualifications :
- Masters degree in Computer Science, Data Science, Statistics, or a related field (PhD preferred).
- 5+ years of hands-on experience in data science and production ML systems (preferably with consumer applications).
- Strong programming skills in Python, Scala, or Java.
- Solid understanding of statistics, A/B testing, and data analytics.
- Industry experience in gaming, online safety, recommendation engines, or conversational AI is a strong plus.
Good to Have :
- Exposure to SQL and Data Analysis tools
- Familiarity with gaming industry products, user behavior modeling, or personalization techniques
Soft Skills & Leadership :
- Proven ability to lead AI/ML initiatives across multiple projects
- Experience in agile/Scrum methodologies
- Strong communication skills for cross-functional collaboration
- Capability to mentor and train junior engineers and team members
(ref:hirist.tech)-
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