Generative AI Engineer

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 Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.

We are looking for a skilled Generative AI Engineer with some experience in AI/ML development and a passion for driving innovation in pharmaceutical commercial operations. This role is ideal for professionals with foundational expertise ready to take on more responsibility and contribute to impactful projects in sales, marketing, and customer engagement.

Roles & Responsibilities

1. AI Model Development

* Build and fine-tune Generative AI models for use cases such as content generation, virtual assistants, and predictive analytics.

* Collaborate with senior engineers on designing model architectures and optimizing performance.

2. Data Handling and Preprocessing

* Prepare and preprocess structured and unstructured datasets for AI model training.

* Assist in building pipelines to automate data collection, transformation, and integration.

3. Model Deployment and Integration

* Deploy AI models into production environments, ensuring seamless integration with CRM systems (e.g., Salesforce, Veeva) and databases.

* Develop and maintain APIs to support AI-powered solutions in customer engagement workflows.

4. Testing and Maintenance

* Conduct testing and validation of AI models, identifying and addressing issues to improve accuracy and reliability.

* Monitor and maintain deployed models, ensuring their scalability and performance.

5. Collaborative Development

* Work closely with cross-functional teams, including data scientists, engineers, and commercial business units, to align AI solutions with business goals.

* Contribute to brainstorming sessions and propose innovative AI-driven solutions.

Qualifications

Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

* 2-4 years of experience in AI/ML development, preferably with exposure to Generative AI and NLP projects.

* Experience in the pharmaceutical or healthcare industry is an advantage.

Technical Skills:

* Proficiency in Python and frameworks like LangChain, TensorFlow or PyTorch.

* Hands-on experience with LLMs (e.g., GPT, BERT) and fine-tuning pre-trained models.

* Knowledge of SQL and familiarity with relational databases.

* Exposure to cloud platforms (e.g., AWS, Azure, GCP) and API integrations.

Soft Skills:

* Strong problem-solving skills and attention to detail.

* Good communication and ability to explain technical concepts to non-technical stakeholders.

* Proactive, collaborative, and eager to take ownership of projects.

#LI-EF1

#CB

#Ind123

Applications will be accepted until 17 Jan 2025

Salary and Other Compensation:

The annual salary for this position is between $[95,500-109,000] 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