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Machine Learning Engineer
1 month ago
Job Summary:
We are seeking a highly skilled Machine Learning Engineer to join our team at Saarthee. As a key member of our engineering team, you will be responsible for designing, developing, and deploying large-scale machine learning systems that enhance user experiences and interactions across our gaming platforms.
About the Role:
This is an exciting opportunity to work with cutting-edge machine learning technologies, tools, and processes, and contribute to the advancement of our technical objectives and architectural initiatives. As an ML Engineer, you will be responsible for the design and development of machine learning models and algorithms tailored to various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.
Your Key Responsibilities:
- Develop and implement machine learning models for diverse applications, leveraging state-of-the-art technologies and frameworks.
- Collaborate closely with cross-functional teams to integrate machine learning models into production systems, ensuring seamless and efficient solutions.
- Conduct thorough exploratory data analysis to uncover valuable insights and patterns, driving business decisions and solutions.
- Deploy machine learning models into production environments using AWS services, ensuring scalability and real-time predictions.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
- 5+ years of experience in advanced machine learning areas, including computer graphics, reinforcement learning, recommendation systems, and natural language processing.
- Proficiency in Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.
- Strong machine learning, statistical, and analytical skills, with a focus on designing and implementing effective solutions.
What We Offer:
- Competitive above-industry remunerations.
- Additional compensation tied to Renewal and Pilot Project Execution.
- Chance to work closely with industry experts, driving strategy with data and analytics.
- Firm building opportunities, offering a stage for holistic professional development, growth, and branding.
- Empathetic, excellence-driven organization, believing in mentoring and growing a team with constant emphasis on learning.
