As a Senior AI Consultant, you will play a central role in developing and deploying cutting-edge artificial intelligence systems, with a focus on machine learning and large language models. You'll architect scalable solutions, optimize natural language processing workflows, and lead the integration of AI into enterprise environments, ensuring performance, reliability, and real-world impact.
Key Responsibilities
- Design, build, and deploy machine learning and NLP systems using modern frameworks and cloud platforms
- Lead the operationalization of LLMs, including prompt engineering, fine-tuning, and production deployment
- Guide cross-functional teams through complex AI initiatives, ensuring alignment with business objectives
- Mentor junior consultants and contribute to team upskilling in AI and MLOps practices
- Apply deep technical knowledge to solve client challenges across industries using data-driven strategies
- Manage end-to-end project lifecycles, from concept through delivery, in agile and collaborative settings
Qualifications and Skills
- Master’s or Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
- Minimum of five years of hands-on experience in AI, machine learning operations, or technical consulting
- Proficiency in Python or R, with extensive experience in ML and NLP pipelines
- Strong command of containerization (Docker) and orchestration (Kubernetes) for scalable AI deployment
- Familiarity with AWS, Azure, or GCP AI/ML services and infrastructure
- Experience with CI/CD tools, version control (Git/GitHub), and MLOps best practices
- Working knowledge of LLM frameworks including TensorFlow, PyTorch, Hugging Face, or OpenAI
- Solid background in data modeling, ETL processes, and big data platforms like Apache Spark or Hadoop
- Proven ability to lead projects, communicate technical concepts, and support team development
Environment and Benefits
You’ll work in a flexible, inclusive setting that supports continuous learning and professional advancement. Engage with diverse, globally connected teams on forward-looking projects that push the boundaries of AI. The role offers access to emerging technologies, skills development programs, and a culture that values innovation, collaboration, and meaningful impact.
