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 current applications, including cloud deployment for scalability.
Work with leadership and stakeholders to identify AI prospects 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
Solid 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.

📌 Generative Ai Engineer Hyderabad
🏢 Tekskills
📍 Hyderabad