Senior Machine Learning Engineer
1 day ago
Cynergy Services is a leading provider of innovative data-driven solutions. Our team of experts works closely with clients to understand their unique challenges and develop tailored strategies to drive growth and improvement.
Key Responsibilities:
The successful candidate will be responsible for leading the end-to-end machine learning model development process, from problem definition to deployment. This includes building and optimizing advanced machine learning models, collaborating with cross-functional teams, and mentoring junior data scientists.
Key responsibilities include:
- Developing and implementing machine learning models to address business challenges and enhance decision-making processes.
- Collaborating with cross-functional teams to ensure data science solutions align with business objectives.
- Mentoring junior data scientists in model development best practices.
Required Skills and Qualifications:
- 8+ years of experience in data science, with a minimum of 3+ years of comprehensive experience in the end-to-end model development lifecycle.
- Strong proficiency in Python or R for building scalable and modular machine learning models.
- Experience writing high-quality code for end-to-end project execution.
- Experience with Machine Learning Frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of a wide range of data science methodologies and statistical techniques.
- Excellent problem-solving abilities and ability to translate complex datasets into actionable insights that drive decision-making.
Benefits:
- A competitive salary range of $120,000 - $180,000 per year.
- Opportunities for career growth and professional development.
- A collaborative and dynamic work environment.
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