AI Specialist

Job Description…

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in AI, machine learning, or natural language processing (NLP).
• Proven experience working with LLMs, text-to-image models, and generative AI applications.
• Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.
• Familiarity with cloud-based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and MLOps best practices.

Technical Skills:

• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.
• Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.
• Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.
• Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).

Soft Skills & Competencies:

• Strong analytical and problem-solving skills with a business-oriented AI mindset.
• Excellent communication skills, with the ability to simplify complex AI concepts for non-technical stakeholders.
• Ability to drive AI adoption and manage change across teams.
• Project management skills with experience in leading AI initiatives across an organization.

Preferred Qualifications:

• Certifications in AI/ML (e.g., Google Professional ML Engineer, AWS Certified Machine Learning, OpenAI API Certification).
• Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
• Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
• Experience with multi-agent AI systems, self-learning models, and real-time AI applications.