Responsibilities
- Engage with clients to understand their unique challenges and deliver tailored AI/ML solutions.
- Design, implement, and maintain scalable, efficient, and robust end-to-end ML/AI systems.
- Manage the entire ML/AI development lifecycle, including planning, pipeline management, and deployment.
- Provide technical support to engineering team members, promoting best practices in ML engineering.
- Collaborate with AI Practice Lead to inform and shape the company's AI strategic direction.
Requirements
- Extensive experience in AI/ML development, particularly in NLP, and machine learning domains.
- Hands-on experience in developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solutions is essential
- Proficiency in designing and maintaining AI/ML solutions that are cost-effective, accurate, and scalable.
- Exceptional problem-solving skills and the ability to think analytically.
- Strong communication and interpersonal skills, with the aptitude to navigate complex project requirements with clients and stakeholders.
- A growth mindset with a commitment to personal and professional development.
- Excellent command/highly proficient in spoken and written English (working directly with UK/US based clients).
- Advanced knowledge of Python specifically for machine learning and data science.
- Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.
- Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, GCP).
Nice to Have
- Certification as an Azure AI Engineer Associate or equivalent credentials is highly advantageous.
- AWS Professional Certifications.
- Experience with ML/DL frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.
- Experience with C# or Java, node.js.
- Knowledge in MLOps, encompassing the ML applications development lifecycle and toolsets.
- Robust software engineering background, with a track record of leading agile teams and expedited delivery of complex projects.
- Leadership experience.
Additional Information
- The salary details for the role will be communicated ahead of the first recruitment meeting.
