AI Specialist

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 andenhancingassociate productivity.
• Work with domain experts to design and fine-tuneAI solutions tailored to portfolio-specificchallenges.
• 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.
• ImplementMLOpsbest practices for AI model deployment, versioning, and monitoring using tools likeMLflowand Kubernetes.
• Ensure AI solutions adhere to ethical standards,comply withregulations (e.g., GDPR, CCPA), and mitigate biases.
• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating with UX designers andfront-enddevelopers.
• Stay up to date with the latest AI research and tools and evaluate their applicability toourbusiness needs.

Qualifications :

• Proficiencyin full stack application development (specifically using Angular, React).
• Expertisein backend technologies (Django, Flask) and cloud platforms (AWS SageMaker/Azure AI Studio).
• Proficiencyin deep learning frameworks (TensorFlow,PyTorch, JAX).
• Proficiencywith 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.