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.
A comunidade Cognizant:
Somos uma equipe de alto calibre que aprecia e apoia uns aos outros. Nosso pessoal defende um local de trabalho enérgico, colaborativo e inclusivo, onde todos possam prosperar.
- A Cognizant é uma comunidade global com mais de 300,000 funcionários em todo o mundo.
- Não sonhamos apenas com um caminho melhor – nós fazemos acontecer.
- Cuidamos de nossas pessoas, clientes, empresa, comunidades e clima fazendo o que é certo.
- Promovemos um ambiente inovador onde você pode construir o plano de carreira certo para você.
Quem somos:
A Cognizant é uma das principais empresas de serviços profissionais do mundo, transformando os modelos de negócios, operação e tecnologia dos clientes para a era digital. Nossa abordagem consultiva exclusiva baseada no setor ajuda os clientes a visualizar, construir e administrar negócios mais inovadores e eficientes. Com sede nos EUA, a Cognizant (membro do NASDAQ-100 e uma das Melhores Empregadoras do Mundo da Forbes 2024) é consistentemente listada entre as empresas mais admiradas do mundo. Saiba como a Cognizant ajuda os clientes a liderar com o digital em nosso site.
Nosso compromisso com a diversidade e inclusão:
A Cognizant é uma empregadora de oportunidades iguais que abraça a diversidade, defende a equidade e valoriza a inclusão. Dedicamo-nos a nutrir uma comunidade onde todos se sintam ouvidos, aceitos e acolhidos. Sua inscrição e candidatura não serão consideradas com base em raça, cor, sexo, religião, credo, orientação sexual, identidade de gênero, origem nacional, deficiência, informações genéticas, gravidez, status de veterano ou qualquer outra característica protegida, conforme descrito por leis federais, estaduais ou locais.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
Disclaimer:
As informações de compensação são precisas a partir da data desta publicação. A Cognizant se reserva o direito de modificar essas informações a qualquer momento, sujeito à lei aplicável.
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.