Senior Developer- Generative AI
5-6 Years
Bangalore, India
Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us.
What's this role about?
We are seeking a highly skilled and motivated Senior Developer specializing in Generative AI to join our team. The ideal candidate should possess in-depth knowledge of LangChain and Open LLM frameworks and be proficient in creating cutting-edge NLP models and Generative Adversarial Networks (GANs), Autoencoders, transformers, BERT Word/Doc to Vector, as well as computer vision models using GANs, Autoencoders, and Variational Autoencoders (VAE). The candidate should also be an expert in Python code refactoring and have hands-on experience in developing end-to-end NLP Deep models. It is expected that the candidate has created at least one GANs model from scratch and has a track record of optimizing Deep models.
Here's how you'll contribute:
Develop and implement advanced NLP models using LangChain, Open LLM, GANs, Autoencoders, transformers, and BERT Word/Doc to Vector.
Create computer vision models utilizing GANs, Autoencoders, VAE, and other relevant techniques.
Optimize and fine-tune Deep learning models to enhance performance and efficiency.
Refactor and improve existing Python codebase for better performance and scalability.
Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
Stay up-to-date with the latest research and advancements in the field of Generative AI and NLP.
Provide technical guidance and mentorship to junior team members.
Good Proficiency in Machin learning SK Learn, PyTorch and TensorFlow
Ability to solution and execute end to end Generative AI Project along with AVP and team Leads
Skills required to contribute:
Bachelor's or Master's degree in computer science, Engineering, or a related field.
5-6 years of professional experience as a Developer, with a focus on Generative AI and NLP
Proficiency in LangChain and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering
Strong expertise and hands on Experience in developing NLP models, including GANs, Autoencoders, transformers, and BERT Word/Doc to Vector.
Hands-on experience in creating computer vision models with GANs, Autoencoders, VAE, etc.
Excellent Python programming skills with a proven ability to refactor and optimize code.
Demonstrated experience in developing end-to-end NLP Deep models.
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent verbal and written communication skills.
Ability to contribute effectively to multiple teams as an individual contributor.
Desirable
AWS machine learning certification
Research papers or Patents filed in AI/ML
Advantage Zensar
We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance. A subsidiary of RPG Group, Zensar has its HQ in India, and offices across the world, including Mexico, South Africa, UK and USA.
Zensar is all about celebrating individuality, creativity, innovation, and flexibility. We hire based on values, talent, and the potential necessary to fill a given job profile, irrespective of nationality, sexuality, race, color, and creed. We also put in policies to empower this assorted talent pool with the right environment for growth.
At Zensar, you Grow, Own, Achieve, Learn.
Learn more about our culture: https://www.zensar.com/careers/who-we-are
Ready to #ExperienceZensar?
Begin your application by clicking on the ‘Apply Online’ button below.
Be sure to have your resume handy!
If you’re having trouble applying, drop a line to careers@zensar.com.
: India-Maharashtra-Pune
Experience Required (In Years): Minimum- 5 Maximum- 6