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

- 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