AI / ML Engineer

Title: AI / ML Engineer

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.

Practice - AIA - Artificial Intelligence and Analytics

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 Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 informative, meaningful intelligence.

Location: Columbus, GA (Onsite)

Job Summary:-

• As an Onsite Tech Lead specializing in Claim Automation, you will be responsible for leading the technical aspects of projects and overseeing their planning, execution, and delivery. You will ensure the successful implementation of advanced AI solutions that streamline and automate the claims process. You will work closely with cross-functional teams and clients to develop scalable and efficient architectures and ensure projects are completed on time, within scope, and within budget.

Roles and Responsibilities:-

• Lead the design and development of machine learning models and algorithms for claim automation.
• Oversee the implementation and optimization of deep learning and neural network architectures.
• Utilize Generative AI and Large Language Models (LLMs) for automating claim processing.
• Apply Natural Language Processing (NLP) techniques to enhance claim automation solutions.
• Architect and deploy solutions on AWS Cloud using services like Sagemaker, S3, Lambda, and Cloudwatch.
• Develop and maintain serverless architectures for claim automation.
• Work with Knowledge Graphs and SPARQL, specifically using AWS Neptune, to manage claim data.
• Design and manage relational databases using RDS and PostgreSQL.
• Write efficient and maintainable code in Python.
• Utilize GitHub for version control and collaboration.
• Develop and maintain scripts for automation and data processing.
• Ensure the security and scalability of claim automation solutions.
• Collaborate with data scientists, engineers, and other stakeholders to deliver high-quality solutions.
• Provide technical leadership and mentorship to team members.
• Oversee the planning, execution, and delivery of claim automation projects.
• Manage project timelines, budgets, and resources.
• Communicate project status and updates to stakeholders.
• Required Skills and Qualifications:
• Proven experience in Machine Learning, Deep Learning, and Neural Networks.
• Expertise in Generative AI and Large Language Models (LLMs).
• Strong knowledge of Natural Language Processing (NLP).
• Proficiency in AWS Cloud services, including Sagemaker, S3, Lambda, and Cloudwatch.
• Experience with serverless architecture and AWS Neptune for Knowledge Graphs and SPARQL.
• Strong understanding of relational databases, specifically RDS and PostgreSQL.
• Proficiency in Python programming and scripting.
• Experience with GitHub for version control.
• Strong Linux skills.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Proven leadership and mentorship abilities.
• Proven experience in project management, specifically in AI and machine learning projects.
• Proven ability to manage project timelines, budgets, and resources.

Salary and Other Compensation:

The annual salary for this position is between $125,000 - $ 135,000 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 leverage 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.