Senior Data Engineering Lead
5 days ago
About the role:
Cognizant is seeking an experienced Senior Machine Learning Engineer to join our Data & AI practice. This key member of our team will design and implement innovative solutions using platforms like Databricks to solve complex business challenges with machine learning.
The ideal candidate will have expertise in optimizing ML implementations and extracting maximum value from data investments. They will also be at the forefront of implementing enterprise-grade AI solutions, working with foundation models, and shaping the future of AI-driven transformation.
Responsibilities include:
- Driving ML strategy and delivering business outcomes through innovative Databricks solutions
- Leading complex machine learning projects using Databricks and distributed computing
- Designing and implementing enterprise-grade generative AI solutions using Databricks' ML capabilities
- Developing state-of-the-art machine learning models using techniques like deep learning, reinforcement learning, and generative AI
About You:
We're looking for someone who can deal with ambiguity, thrive on change, and manage their own time effectively. A high degree of integrity is essential. At Cognizant, we value consultants who have a high IQ, enjoy problem-solving, and are willing to serve. You should be confident presenting to both business and technology stakeholders and have strong negotiating and collaboration skills.
Key requirements include:
- 3+ years of experience using Databricks, demonstrating deep understanding of the platform and its ML capabilities
- Strong consulting experience with proven ability to deliver business outcomes
- Solid understanding of data science concepts, including statistical modeling, data mining, and data visualization
Growth Opportunities:
- Lead implementation of cutting-edge generative AI solutions
- Work with Databricks' latest ML features and capabilities
- Early access to new Databricks AI innovations
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