Machine Learning Engineer

We’re hiring!

At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!

We have an exciting opportunity for an exceptional individual to work supporting one of our clients as Data Engineer

Role Summary: We are seeking a self-driven Data Engineer with a strong background in developing AI/ML solutions and extensive experience working within a microservice environment. The ideal candidate will have expertise in developing these solutions on GCP, with deep knowledge in developing products in python, kubernetes, and strong familiarity with orchestration technologies like KFP or Airflow. The candidate must also have experience with GCP suite of tools, such as Vertex AI, BigQuery, and Dataflow. This role requires a deep understanding of computer science and machine learning engineering principles.

Key Requirements:

· Design robust cloud solutions in GCP that will service the client intelligence and data solutions

· Develop and deploy models and services in managed Kubernetes Framework (Anthos)

· Enhance and optimize the performance of containerized applications.

· Develop and deploy batch predictions using Dataflow, KFP and Vertex AI

· Develop and deploy GenAI models using LangChain

· Demonstrate expertise in Agile methodologies, with a strong emphasis on backlog management and sprint planning to ensure efficient project progression and delivery.

· Cross functional collaboration with other machine learning engineers and data scientists to drive requirements and create new models

· Implement and maintain ongoing prediction pipelines using tools like kubernetes, Airflow, KFP, and Vertex AI.

· Ensure best practices in ML engineering, including code quality, testing, and documentation.

· Foster a culture of innovation, continuous learning, and knowledge sharing within the team.

· Understand and champion Software Development Life Cycle (SDLC) as well as the Model Development Life Cycle (MDLC).

Additional Responsibilities:

· Level of Effort Estimation: Estimate the effort required for implementing machine learning features, enhancements, and bug fixes, considering factors such as complexity, data volume, and integration points. Collaborate with cross-functional teams to provide accurate and timely estimates.

· Collaborate with data scientists to train, guide, and support processes to ensure security and address vulnerabilities.

Qualifications:

· 8+ years of experience with a master’s degree or 10+ years of relevant experience in Software Engineering or ML/AI engineering.

· Proficiency in Python, FastAPI, GCP, Cloud Architecture, KFP, Vertex AI, and Kubernetes.

· Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Why Cognizant?

Improve your career in one of the largest and fastest growing IT services providers worldwide

Receive ongoing support and funding with training and development plans

Have a highly competitive benefits and salary package

Get the opportunity to work for leading global companies

We are committed to respecting human rights and build a better future by helping your minds and the environment

We invest in people and their wellbeing.

We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.

Igualdad de Empleo y Política de Acción Afirmativa:

Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.

At Cognizant we believe than our culture make us stronger!

Join us now!

#BeCognizant #IntuitionEngineered