What are the responsibilities and job description for the Generative AI Architect position at Zensar Technologies?
Gen AI/ML Architect
Long Term
Location: Santa Clara, CA
Hybrid Work Must- 3 days Office Minimum
Why Zensar?
We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!
You might really grab our attention if you can:
Job description:
The objective is for this person to interface with Business/Engineering and help convert requirements into implementation architectures (not development). Expecting this person to have:
• Experience designing and implementing generative models and architectures, including RAG, fine-tuning, etc.
• Programming skills in Python and proficiency with ML frameworks like TensorFlow or PyTorch.
• Preferred experience with AWS and its Generative AI capabilities, including containerization technologies (Docker, Kubernetes).
• Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT, BERT for text).
• Ability to work with large datasets, including data cleaning, augmentation, and analysis.
• Degree in Computer Science, Machine Learning, AI, or a related field.has context menu
Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
Zensar does not facilitate/sponsor any work authorization for this position. All candidates must present valid authorization to commence new employment in the U.S. for Zensar.
Candidates who are currently employed by a client or vendor of Zensar may be ineligible for consideration.
Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice.
