Generative AI Engineer

Tekskills Inc.; Chennai; Sur place; INR 1 200 000 - 3 600 000; Plein temps

Résumé du poste

Tekskills Inc. in India is seeking an experienced ML engineer to design, build, and deploy generative AI models (text, image, code) using Python and frameworks like PyTorch or TensorFlow.

You will fine-tune models and optimize hyperparameters, ensuring high-quality output and scalable cloud deployment. You will work with leadership to identify AI opportunities, manage large data ecosystems with governance, and help establish standards and best practices across teams for responsible AI

Qualifications

• Design, build, and deploy generative AI models using Python and ML frameworks.
• Fine-tune AI models, optimize hyperparameters and evaluate performance.
• Deploy AI solutions in the cloud for scalability and reliability.
• Collaborate with leadership to identify AI opportunities and business impact.
• Work with large datasets, ensuring data governance and quality.

Responsabilités

• Design, build, and deploy generative AI models (text, image, code).
• Fine-tune models and optimize hyperparameters for quality output.
• Integrate AI into existing systems with cloud deployment for scale.
• Develop and maintain large-scale data ecosystems with governance.
• Build backlogs for ML-enabled features.
• Stay updated on AI research, tools, and ethics.
• Collaborate across teams to establish AI best practices.

Connaissances

Deep learning

Python programming

NLP

API development

Data preprocessing

ML model fine-tuning

CI/CD for ML

Outils

PyTorch

TensorFlow

Jax

Ray

GCP

Vertex AI

Docker

Kubernetes

BigQuery

Cloud SQL

PostgreSQL

CI/CD for ML

Serverless deployment

Description du poste

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.