Description
You will research, design, and develop AI solutions for text, image, audio, and video generation.
Responsibilities
- Build and deploy Agentic AI systems for autonomous decision-making and enhancing associate productivity.
- Design and fine-tune AI solutions with domain experts to address portfolio-specific challenges.
- Develop scalable and efficient AI pipelines using frameworks like TensorFlow, PyTorch, and Hugging Face.
- Implement MLOps practices for AI model deployment, versioning, and monitoring using MLflow and Kubernetes.
- Ensure AI solutions meet ethical standards, comply with regulations (GDPR, CCPA), and mitigate bias.
Required Skills
- 8+ years of professional experience.
- Proficiency in full stack development using Angular and React.
- Expertise in backend technologies such as Django and Flask.
- Experience with deep learning frameworks: TensorFlow and PyTorch.
- Proficiency with Large Language Models (LLMs) and generative AI tools (OpenAI APIs, LangChain, Stable Diffusion).
- Solid understanding of data engineering workflows, including ETL processes and Apache Spark.
- Knowledge of containerization (Docker) and orchestration (Kubernetes).
- Familiarity with CI/CD pipelines and automation tools like Jenkins and Terraform.
- Experience with SQL and NoSQL databases.