Generative AI Engineer

Tekskills Inc.; Delhi; On-site; INR 180,000 - 300,000; Full time

Job summary

Tekskills Inc. is seeking a skilled AI Engineer to design, build and deploy generative AI models (text, image, code) using Python and leading frameworks.

You will fine-tune models, optimize hyperparameters, and evaluate performance for high-quality outputs, while integrating AI into scalable cloud deployments. You will collaborate with leadership to identify AI opportunities, develop data ecosystems with governance, and prioritize ML-enabled features in backlogs.

Qualifications

• Experience in design, build and deployment of generative AI models (text, image, code).
• Strong hands-on with Python, deep learning frameworks and ML pipelines.
• Experience with cloud platforms (GCP), Vertex AI, and microservices architecture.

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, including cloud deployment for scalability.
• Collaborate with leadership to identify AI opportunities and support business strategies.
• Develop and maintain large-scale data ecosystems, ensuring data governance and integration.
• Build and prioritize backlogs for ML-enabled features.
• Stay updated with current AI research, tools, and ethics in AI.
• Implement automation and cognitive techniques for data insights and prediction.
• Collaborate across teams to establish standards and best practices for generative AI.

Skills

Deep learning

NLP

Python

API development

Data preprocessing

Generative AI

Experimentation

Education

Bachelor's degree in CS/Engineering

Tools

TensorFlow

PyTorch

Jax

Ray

Vertex AI

BigQuery

Cloud SQL

Postgres

Docker

Kubernetes

CI/CD

Serverless

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.