Core Responsibilities:
Lead architecture design and implementation of generative AI projects (e.g., Copilot Studio, AI assistants).
Explore cutting-edge AI technologies (e.g., LLMs, multimodal models) and optimize business applications.
Conduct AI readiness assessments and maturity evaluations for clients and internal teams.
Develop AI strategies and business cases aligned with organizational objectives
Design and architect scalable AI/ML solutions using modern frameworks (e.g., Azure AI, Copilot, TensorFlow, PyTorch)
Lead end-to-end AI project delivery and collaborate with cross-functional teams.
Establish MLOps practices, technical standards, and governance frameworks.
Provide executive-level advisory on AI adoption and digital transformation
Mentor team members and contribute to thought leadership content.
Required Qualifications:
Master’s degree in Computer Science, Data Science, AI, or a related field
4+ years of experience in AI/ML consulting or software development with a focus on machine learning.
Hands-on experience in generative AI projects (e.g., chatbots, content generation).
Proficient in Python/TensorFlow/PyTorch, and frameworks like OpenAI and LangChain.
Proven track record of delivering 3+ end-to-end AI projects from concept to production
Hands-on experience with cloud AI/ML services (Azure, AWS, or GCP)
Strong SQL skills and familiarity with big data platforms (Spark, Hadoop)
Knowledge of MLOps, model deployment, and monitoring
Excellent English communication and presentation skills for executive audiences.
Preferred Qualifications:
Certifications in cloud platforms or AI/ML technologies.
Experience with A/B testing and agile methodologies.
Knowledge of NLP, computer vision, or generative AI applications.
Background in consulting or client-facing roles.