🤖 Gen AI Engineer – Coimbatore | In-Person Interview | Cognizant
Job Description
📌 Summary
Cognizant is hiring a Generative AI Engineer (Gen AI Engineer) in Coimbatore, India, for an on-site interview-based selection process. This is a high-impact role where you will design, develop, and deploy AI-powered solutions using Generative Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), and cloud-based AI services. If you’re skilled in Python, TensorFlow, NLP, and cloud platforms like Azure or AWS, this is your opportunity to work on cutting-edge Gen AI applications in a production environment.
📊 Job Details at a Glance
| Job Title | Gen AI Engineer |
|---|---|
| Location | Coimbatore, India |
| Employment Type | Full-Time |
| Work Model | Hybrid (Onsite Interviews Required) |
| Experience Level | 3–8 years (AI/ML focused) |
| Interview Mode | In-Person (Scheduled) |
| Primary Skills | Generative AI, Python, LLMs, Azure, NLP |
| Tools & Tech | GANs, VAEs, Transformers, TensorFlow, PyTorch |
| Cloud Platforms | Azure, AWS, GCP |
💡 Key Responsibilities
As a Generative AI Engineer at Cognizant, you will:
- Preprocess, clean, label, and augment large-scale datasets for AI model training.
- Design and build Generative AI models such as GANs, VAEs, and transformers.
- Fine-tune Large Language Models (LLMs) using custom datasets for high relevance.
- Develop backend services using Python or .NET to support AI solutions.
- Deploy AI applications on Azure, AWS, or GCP cloud infrastructure.
- Integrate Azure Cognitive Services or equivalent to enhance functionality.
- Collaborate across teams to ensure seamless integration of AI into business apps.
- Monitor and scale AI systems for performance, efficiency, and scalability.
- Stay current with evolving trends in machine learning, NLP, and computer vision.
🧠 Required Skills
- Strong foundation in Machine Learning and Deep Learning concepts.
- Experience with Generative AI techniques: GANs, VAEs, Transformers.
- Proficiency in Python and AI frameworks like TensorFlow, PyTorch, Keras.
- Solid understanding of Natural Language Processing (NLP) and text generation.
- Experience in synthetic data generation, augmentation, and model training.
- Knowledge of deploying models using Docker, Kubernetes, and CI/CD pipelines.
- Hands-on experience with cloud AI services (Azure ML, AWS Sagemaker, etc.).
- Strong problem-solving and debugging skills in large-scale AI systems.
🎓 Qualifications
- Bachelor’s or Master’s Degree in Computer Science, AI/ML, or related field.
- 3–8 years of professional experience in AI/ML, Gen AI, or related areas.
- Prior work in AI product development, cloud deployments, or LLM customization is a plus.
🌐 Good to Have
- Experience in Computer Vision alongside NLP.
- Familiarity with OpenAI APIs, Hugging Face Transformers, or LangChain.
- Exposure to financial services, healthcare, or retail AI applications.
🚀 Apply Now
Be at the forefront of AI innovation with Cognizant. Join our team of forward-thinkers transforming the future with Gen AI solutions.
👉 Apply Now on Cognizant Careers
🗓️ Note: In-person interviews are scheduled and mandatory for this role.