Senior Data and AI Engineer

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.