About the job
Dream11 is seeking a talented Senior Machine Learning Scientist to drive the development and deployment of our ML solutions. If you have experience in building, deploying, and maintaining ML systems at scale, along with a strong foundation in Python, SQL, and ML frameworks, you'll be crucial in executing experiments, managing project lifecycles, and mentoring the team. **Your Role** - Execute clean experiments rigorously against pertinent performance guardrails and analyze performance metrics to infer actionable findings. - Develop and maintain services with proactive monitoring, incorporating best industry practices for optimal service quality and risk mitigation. - Break down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility. - Manage the end-to-end lifecycle of large-scale ML projects from data preparation, model training, deployment, monitoring, and upgrading experiments. - Leverage a strong foundation in ML, statistics, and deep learning to adeptly implement research-backed techniques for model development. - Stay abreast of the best ML practices and industry developments to mentor and guide team members. **Qualifiers** - 3-5 years of experience in building, deploying, and maintaining ML solutions. - Extensive experience with Python, SQL, TensorFlow/PyTorch, and at least one distributed data framework (Spark/Ray/Dask). - Working knowledge of Machine Learning, probability statistics, and Deep Learning Fundamentals. - Experience in designing end-to-end machine learning systems that work at scale.
Requirements
- Machine Learning
- Python
- SQL
- TensorFlow
- PyTorch
Qualifications
- 3-5 years experience in ML
Preferred Technologies
- Machine Learning
- Python
- SQL
- TensorFlow
- PyTorch
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