Key Responsibilities :

As a Full Stack AI Engineer, research , design, and develop AI solutions for text, image, audio, and video generation
Build and deploy Agentic AI systems for autonomous decision-making across business outcomes and enhancing associate productivity.
Work with domain experts to design and fine- tune AI solutions tailored to portfolio - specific challenges.
Partner with data engineers across portfolio companies to Preprocess large datasets and ensure high-quality input for training AI models.
Develop scalable and efficient AI pipelines using frameworks like TensorFlow, PyTorch , and Hugging Face.
Implement MLOps best practices for AI model deployment, versioning, and monitoring using tools like MLflow and Kubernetes.
Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., GDPR, CCPA), and mitigate biases.
Design intuitive and user-friendly interfaces for AI-driven applications, collaborating with UX designers and front-end developers.
Stay up to date with the latest AI research and tools and evaluate their applicability to our business needs.

Qualifications :

Proficiency in full stack application development (specifically using Angular, React).
Expertise in backend technologies (Django, Flask) and cloud platforms (AWS SageMaker/Azure AI Studio).
Proficiency in deep learning frameworks (TensorFlow, PyTorch , JAX).
Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI APIs, LangChain , Stable Diffusion).
Solid understanding of data engineering workflows, including ETL processes and distributed computing tools (Apache Spark, Kafka).
Experience with data pipelines, big data processing, and database management (SQL, NoSQL).
Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable AI deployment.
Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).
Good understanding of AI ethics, bias mitigation, and compliance standards.
Excellent problem-solving abilities and innovative thinking.
Strong collaboration and communication skills, with the ability to work in cross-functional teams.
Proven ability to work in a fast-paced and dynamic environment

Good To have skills:

Advanced studies in Artificial Intelligence, or a related field.
Experience with reinforcement learning, multi-agent systems, or autonomous decision-making.

AI Specialist