Generative AI Engineer

Tekskills; Bulandshahr; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Tekskills is seeking a seasoned AI Engineer to design, train, and deploy generative AI models at scale in a fast-paced environment. You will work with leadership to identify AI opportunities and translate them into practical solutions that power business outcomes.

The role emphasizes hands-on model development, data processing at scale, and cloud-native deployment using GCP Vertex AI, Docker, and Kubernetes. Strong collaboration with cross-functional teams is essential.

Qualifications

• Experience designing and deploying generative AI models.
• Fine-tuning models and evaluating performance for quality output.
• Ability to integrate AI solutions into existing systems and cloud deployment.

Responsibilities

• Design, build, and deploy generative AI models using Python and frameworks.
• Fine-tune models, optimize hyperparameters, evaluate performance.
• Integrate AI into systems and deploy cloud-based solutions for scalability.
• Collaborate with leadership to identify AI opportunities and align with business strategy.
• Develop and maintain data ecosystems with governance and integration.
• Build and prioritize ML-enabled feature backlogs.
• Stay updated with research, tools, and ethical AI practices.
• Implement automation and cognitive techniques for insights and efficiency.
• Establish standards and best practices for generative AI across teams.

Skills

Deep learning

NLP

Python

API development

Data preprocessing

ML pipelines

CI/CD for ML

Serverless deployment

Cloud concepts

Tools

PyTorch

TensorFlow

Jax

Ray

GCP Vertex AI

Docker

Kubernetes

BigQuery

Cloud SQL

Postgres SQL

Job description

Key Responsibilities

• Design, build, and deploy generative AI models (text, image, code) using Python and frameworks like TensorFlow or PyTorch .
• Fine-tune AI models, optimize hyperparameters, and evaluate performance for quality output.
• Integrate AI solutions into existing systems or develop new applications, including cloud deployment for scalability.
• Work with leadership and stakeholders to identify AI opportunities and support business strategies.
• Develop and maintain large-scale data ecosystems, ensuring data management, governance, and integration.
• Build and prioritize backlogs for ML-enabled features.
Stay updated with the latest research, tools, and ethical considerations in generative AI.
• Implement automation and cognitive techniques for data insights, prediction, and operational efficiency.
• Collaborate across teams to develop standards and best practices for generative AI solutions.

Technical Skills Required

• Strong experience in deep learning : PyTorch, TensorFlow, Jax, Ray.
• Experience with machine learning APIs and NLP.
• Proficiency in Python , API development, and data preprocessing.
• Experience with Google Cloud Platform (GCP) , Vertex AI, and microservices architecture.
• SQL expertise: BigQuery, Cloud SQL, Postgres SQL .
• Experience with containerization: Docker, Kubernetes .
• Hands-on experience with CI/CD for ML , serverless deployment, and cloud-based ML pipelines.
• Familiarity with working on large datasets and applying AI/ML techniques in real-world applications.

Preferred Skills

• Experience in computer vision applications for generative AI.
• Knowledge of ethical AI development and data privacy standards.
• Experience with debugging, troubleshooting, and optimizing AI/ML solutions.