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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Key Responsibilities:
- Model Development - Design, implement, and optimize generative AI models, including GANs, VAEs, and transformer-based models.
- Data Handling - Collect, preprocess, and analyze large datasets to train and evaluate generative models.
- Collaboration - Work closely with cross-functional teams (data scientists, software engineers, product managers) to integrate AI solutions into products.
- Performance Optimization - Improve the performance, accuracy, and efficiency of existing generative models.
- Deployment - Implement and deploy AI models in production environments, ensuring scalability and reliability.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Software Engineering, Systems Engineering, or related work experience.
- Minimum of 3 years of experience in AI/ML technologies and 2 years of GenAI experience.
- Advanced skills in Generative Models: Knowledge of models, fine-tuning foundation models like GPT-4, and understanding their architecture, training processes, and applications.
- Natural Language Processing (NLP): A strong understanding of NLP to work with text generation and analysis.
- Proven track record of developing AI solutions and deploying to production environments.
- Deep understanding of AI/ML algorithms, data structures, and software engineering principles.
- Expertise with at least one cloud computing platform (e.g., AWS, Azure, Google Cloud).
- Proficiency in Python, SQL, and NoSQL databases. Familiarity with machine learning frameworks (like Keras, PyTorch, TensorFlow) and libraries (like scikit-learn).
- Experience in designing and implementing APIs for data engineering and models training and deployment pipelines.
- Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
- Ability to thrive in a fast-paced and dynamic environment.
- Strong analytical thinking and ability to work independently and as part of a team.
- Passion for staying updated with the latest advancements in AI and a continuous learning mindset.
Salary and Other Compensation:
The annual salary for this position is between $(108,000 - 139,000) depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program and stock options, 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