Generative AI Engineer

Tekskills Inc.; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Tekskills Inc. in Bengaluru seeks an experienced ML/AI engineer to design, build and deploy generative AI models (text, image, code) using Python and leading frameworks. You will fine-tune models, optimize performance, and integrate AI solutions into scalable cloud-based systems.

The role requires hands-on experience with TensorFlow/PyTorch, NLP APIs, and managing data ecosystems with governance. You will work with leadership to identify AI opportunities and help shape intelligent, ethical

Qualifications

• Experience designing, building and deploying generative AI models (text, image, code).
• Proficiency in Python, API development, and data preprocessing.
• Strong background in deep learning frameworks and ML model deployment on cloud.
• Familiarity with large-scale data ecosystems, data governance, and ML pipelines.

Responsibilities

• Design, build, and deploy generative AI models using Python and frameworks like TensorFlow or PyTorch.
• Fine-tune AI models and optimize hyperparameters for quality output.
• Integrate AI solutions into existing systems and cloud deployments for scalability.
• Collaborate with leadership to identify AI opportunities and support business strategies.
• Develop and maintain large-scale data ecosystems with governance and integration.
• Build and prioritize backlogs for ML-enabled features.
• Stay updated with research, tools, and ethical AI considerations.
• Implement automation and cognitive techniques for data insights and efficiency.
• Set standards and best practices for generative AI solutions across teams.

Skills

Deep learning

NLP & ML APIs

Python

AI model deployment

Data & ML pipelines

Tools

TensorFlow

PyTorch

Jax

Ray

Docker

Kubernetes

Vertex AI

CI/CD for ML

BigQuery

Postgres

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.