
Senior Data Scientist Position
5 days ago
About Us:
We work with world-leading brands, Fortune 1000 companies as innovation partners, providing product strategy and custom application development.
We develop cutting-edge software products integrating various technologies like computer vision, 3D modeling, AR, VR, decision sciences, and IoT.
Your Role:
As a Senior Machine Learning Engineer, you would help us create and improve our portfolio by applying exceptional programming skills and knowledge of data science, big data, and software engineering.
Responsibilities:
- Build scalable software using machine learning and data science techniques to enhance our data analytics platform.
- Develop frameworks and services for machine learning, systems, and dashboards.
- Interact with business users and development teams.
- Follow coding best practices, including unit testing, code reviews, code coverage, documentation, etc.
- Identify and implement process improvements, automating manual tasks, optimizing data delivery, and enhancing infrastructure scalability.
- Build analytics tools using data pipelines to provide insights into customer acquisition, operational efficiency, and key business metrics.
- Respond quickly to bug fixes and enhancement requests.
What You Need:
- Solid experience with machine learning, data science, NLP, and Gen AI.
- Mastery of machine learning algorithms to drive data-driven decisions.
- Leverage advanced statistical models to uncover hidden insights and patterns.
- Implement unsupervised learning techniques to explore and cluster complex datasets.
- Robust machine learning solution implementation using state-of-the-art frameworks.
- Harness the power of big data technologies to process and analyze massive datasets.
- Transform and visualize data to create compelling insights.
- Deploy scalable ML solutions on leading cloud platforms.
- Integrate ML operations to streamline model deployment and management.
- Apply deep learning methodologies to solve intricate problems.
- Python proficiency is required, along with familiarity with popular libraries and frameworks.
- Excellent analytical and troubleshooting skills, with strong communication and organizational abilities.
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