About the role:
At Cognizant, we're not just at the forefront of technological innovation – we're actively shaping the future of the digital landscape. As a rapidly expanding global leader in IT services, we're seeking a Senior Machine Learning/AI Engineer to join our growing Data & AI practice. In this role, you'll combine deep technical expertise with consulting skills to deliver cutting-edge AI solutions while also contributing to presales activities and architectural decisions.
The Senior Consulting Data & AI Engineer is responsible for:
- Lead complex machine learning projects, including those involving large-scale datasets, complex models, and distributed computing environments.
- Develop and deploy state-of-the-art machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative AI to address challenging business problems.
- Conduct comprehensive data analysis to identify patterns, trends, and insights that inform model development, ensuring that the models are built on a solid foundation of data understanding.
- Implement robust data pipelines to ensure data quality, consistency, and efficiency, optimizing data flow and reducing errors.
- Optimise model performance through techniques like hyperparameter tuning, feature engineering, and model selection, ensuring that the models achieve the highest possible accuracy and efficiency.
- Deploy machine learning models into production environments and monitor their performance to identify and address any issues that may arise.
- Develop and maintain machine learning infrastructure and tools, providing a scalable and efficient environment for model development and deployment.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions, ensuring that the machine learning models align with business objectives.
- Communicate technical concepts effectively to both technical and non-technical audiences, facilitating collaboration and understanding.
- Stay up-to-date with the latest advancements in machine learning, data engineering, and generative AI to ensure that you are at the forefront of the field.
- Mentor junior engineers and foster a culture of knowledge sharing, contributing to the development of the next generation of data scientists.
Technology Consulting involves exciting, fast-paced work, dealing with a variety of stakeholders, clients, and consultants. You need to be someone that can deal with ambiguity, thrive on change, and manage your own time effectively. We want someone that genuinely focuses on client outcomes, with a high degree of integrity. At Cognizant, we value consultants that have a high IQ, enjoy problem solving, and have a willingness to serve. You will need to be confident presenting to both business and technology stakeholders, leading cross functional geographically dispersed teams, and have strong negotiating and collaboration skills. Above all, you should have a positive attitude, and enjoy working with consultants from a diverse range of backgrounds, on a variety of fast paced engagements.
Base capability requirements include:
- Master's degree in Computer Science, Data Science, or related field
- 5+ years of experience in machine learning and AI development
- Strong foundation in machine learning algorithms and statistical modeling
- Expert-level proficiency in Python and related ML libraries (scikit-learn, TensorFlow, PyTorch)
- Experience with deep learning frameworks and architectures (CNNs, RNNs, Transformers)
- Practical experience with MLOps tools and practices
- Strong knowledge of data engineering principles and practices
- Experience with distributed computing platforms (Spark, Databricks)
- Proficiency in SQL and experience with both relational and NoSQL databases
- Experience with cloud platforms (AWS, Azure, or GCP) for ML workloads
- Strong software engineering practices and version control (Git)
- Excellent communication skills and ability to explain complex technical concepts
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Familiarity with modern AI tools and frameworks (Hugging Face, OpenAI, etc.)
Nice to have:
- Experience with generative AI and large language models
- Contributions to open-source ML projects
- Published research papers or technical blog posts
- Experience with real-time ML systems
- Knowledge of AI ethics and responsible AI practices
Our Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
- You can pursue innovative career tracks and opportunities here
- You can enhance your professional development through education and dedicated training
- We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
- To apply for this inclusive and collaborative hybrid full-time Technical Lead job, please contact Cognizant today.
At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern
businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
Our commitment to diversity and inclusion
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
While our system allows application in all languages, job required language(s) and proficiency level(s) vary. However, basic English proficiency is required for Company-wide communications purposes.
About us
Cognizant 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 (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.