
AI Model Developer
4 days ago
Our organization seeks an accomplished data scientist to develop advanced analytics models and drive impactful business outcomes. As a core member of our analytics team, you will be responsible for designing sophisticated machine learning algorithms, predictive analytics, and statistical analyses to solve complex problems.
Responsibilities:
- Promote the development of data-driven solutions, analysing intricate datasets, and deriving actionable insights that lead to influential results.
- Demonstrate expertise in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
- Work closely with clients to comprehend their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
- Oversight of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
- Collaboration with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
- Leverage profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.
Required Skills:
- 6-10 years of total DS and model development experience
- A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-to-end project execution while planning an active hands-on role
- Excellent problem-solving skills are essential, along with in-depth knowledge to solve complex problems effectively.
- Comprehensive knowledge of regression and classification concepts, as well as mathematical backend, along with SQL
- Familiarity with other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations, etc.) and their application to real-world problems
- Encourage collaboration with various stakeholders and take complete ownership of deliverables.
Benefits:
- Health insurance (self & family)
- Virtual wellness platform
- Knowledge communities
We value diversity and inclusion and seek individuals who share these values.
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