Machine Learning Manager

at cognizant
Published November 19, 2022
Location Dallas, United States of America
Category Machine Learning  
Job Type Full-time  


We are Cognizant Artificial Intelligence 

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks

*This role is not able to offer visa transfer or sponsorship now or in the future* 

Location?- Remote 

ML - Engineering Manager

Position Purpose

The Personalization team is seeking an Engineering Manager who is excited about using about reimagining the grocery experience by harnessing the power of Data & ML. This an excellent opportunity to play a pivotal role on a team that is building new capabilities from the ground up. A successful candidate will be technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions.

The Engineering Manager, Personalization is responsible for building and deploying solutions for personalization for product and content recommendations using machine learning. The ideal candidate will be hands-on technical leader responsible for creating a technical vision across multiple personalization initiatives and should have a successful history of analysis, design and implementation in a business-critical environment passionate in growing and leading the core team responsible for end-to-end project execution, application development and delivery. The ideal candidate in this role must have knowledge about Machine Learning, understand personalization and must have had hands-on experience in implementing machine learning models.

Key Responsibilities include, but are not limited to:

• Build world class solutions by collaborating with cross-functional team of ML Engineers, Data Engineers, Data Architects, API Developers, and Analysts.

• Responsible for planning and building machine learning train and serving pipelines with the ability to think about cost optimization and faster run cycles.

• As technical owner work closely with Product management, Architecture, Data Engineering, Quality Engineering, and Information Security groups to define and deliver the overall solution including development of backlog of priorities.

• Keep an eye towards emerging technologies and explore technologies that aid Albertsons stay ahead of the competition.

• Define and own project planning, budget estimation and management, resource planning and assessment, financial planning, and risk assessment.

• Prioritizing, grooming, and documenting the backlog of work to be executed.

• Responsible for delivering the backlog of work and direct development staff and contractors in executing the work.

• Continuous partnership with cross functional teams to ensure all solutions are being developed with continuity of the enterprise solution ecosystem, while meeting all security, data governance, legal, risk and compliance standards

• Collaborate with Director on recruiting and retaining high performing engineering team.

• Adoption of existing Project Management best practices, including the proficient use of industry standard tools, technologies, and methodologies particularly Agile.

• Well-organized, detail oriented, has excellent communication skills and thrives in a fast-paced environment.

• Flexibility and ability to work collaboratively within matrices, 'virtual' and flat environments.


• B.S. in Computer Science, Engineering or similar

• 8+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain

• 5+ years’ experience coding in one of the following languages: Java, Python, Scala

• 2+ years in a management role with direct reports of around or more than 4+

• 2+ years in building or using any machine learning platform, building machine learning pipelines and serving APIs.

• Experience with building Product/Content Recommendations using machine learning models.

• Must have knowledge of implementing highly scalable Restful APIs, Batch and Streaming Data pipelines in prior organizations.

• Must of knowledge of any data warehouse solutions

• Experience with micro-services architecture, design patterns, and standard methodologies with an eye towards scale, automation, resiliency, high availability and user experience

• Must have experience working in large enterprise organizations that require partnerships with various operating groups – security, data engineering, devops etc.

• Deep experiences on developing and managing small to large engineering teams both onshore and offshore.

• Experience leveraging cloud platforms, Azure is preferred but other cloud platforms can be considered e.g., GCP (Google Cloud Platform)), AWS.

#LI-PT1 #CB #Ind123

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Nov 18 2022

About Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow us @USJobsCognizant.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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