ML Ops, AWS Machine Learning

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500, and we are among the top performing and fastest growing companies in the world.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into illuminating, relevant intelligence.

We are seeking an experienced MLOps Engineer with proven experience in ML Ops, AWS Machine Learning, Docker, AI&ML Concepts, Machine Learning, Artificial Intelligence, and Sagemaker. Ideal candidate should have good understanding of Insurance domain and experience using and setting up the new Sagemaker studio, Sagemaker pipelines, and environment image management (Docker, Wiz, and data science libraries such as tensorflow, sci kit learn, etc.)

• Lead the design and implementation of machine learning models and solutions.
• Supervise the deployment and management of ML Ops pipelines.
• Provide expertise in AWS Machine Learning services to optimize performance.
• Develop and maintain Docker containers for scalable AI solutions.
• Implement AI and ML concepts to solve complex business problems.
• Apply Sagemaker for building, training, and deploying machine learning models.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Ensure the scalability and reliability of machine learning models in production.
• Conduct regular code reviews and provide constructive feedback to team members.
• Stay updated with the latest advancements in AI and ML technologies.
• Work closely with partners to understand business requirements and translate them into technical solutions.
• Drive continuous improvement in AI and ML practices within the organization.

• Must have strong experience in ML Ops, AWS Machine Learning, Docker, AI&ML Concepts, Machine Learning, Artificial Intelligence, and Sagemaker.
• Nice to have experience in Property & Casualty Insurance domain.
• Should have excellent problem-solving skills and the ability to work in a hybrid work model.
• Must possess strong social skills to effectively collaborate with cross-functional teams.
• Should be able to mentor and guide junior team members.
• Must be proactive in staying updated with the latest industry trends and technologies.
• Should have a proven track record of successfully deploying machine learning models in production.
• Must be thorough and have a strong focus on quality and performance.
• Should have the ability to translate business requirements into technical solutions.
• Must be able to work independently as well as part of a team.
• Should have a strong understanding of AI and ML concepts and their practical applications.
• Must have experience with code reviews and providing constructive feedback.
• Should be committed to continuous improvement and innovation in AI and ML practices.

Should be good to be certified

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Posting End date 03/16/2025

The annual salary for this position is between $120,000 - $ 140,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to demonstrate the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.