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Senior AI/ML Engineer
2 months ago
Nord Group - A GenHive Partner is a leading consultancy specializing in Financial Services and Private Sectors. We drive Business Growth by optimizing our clients' workforce through Data-Driven Strategies. Over the past decade, we have a proven track record of building niche feature teams across Software, Data/AI, Cloud, and Cybersecurity in top Financial Institutions across the globe.
12-Month Contract, Hybrid in London.
Role Overview: As a Senior AI/ML Engineer, you will be at the forefront of developing and deploying AI-Driven Solutions tailored to our client's needs. This role requires deep technical expertise, particularly in Generative AI, NLP, and LLMs, combined with a strong understanding of Azure Cloud Services. You will collaborate closely with cross-functional teams, ensuring that AI Models are effectively integrated into the client's systems to drive Business Value.
Key Responsibilities:
- Design, develop, and deploy AI/ML Models with a focus on Generative AI, NLP, and LLMs, ensuring they align with business objectives.
- Implement scalable AI Solutions on Azure, optimizing for performance and cost efficiency.
- Collaborate with Data Scientists, Software Engineers, and Business Stakeholders to define project requirements and deliver impactful AI Solutions.
- Continuously monitor and refine AI Models post-deployment, ensuring they maintain accuracy and relevance.
- Lead the development of AI-Based Products, including Chatbots, Virtual Assistants, and Automated Content Generation Tools.
- Stay ahead of the curve by researching and incorporating the latest advancements in AI, NLP, and LLM technologies.
- Provide mentorship and technical guidance to junior engineers and other team members.
- Ensure compliance with Data Security and Privacy Standards throughout the AI Project Lifecycle.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 4+ years of experience in AI/ML Engineering, with a strong emphasis on NLP, Generative AI, and Large Language Models.
- Proven experience with Azure Cloud Services, including Azure Machine Learning, Azure Databricks, and other relevant tools.
- Proficiency in Python and ML Frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
- Strong understanding of Data Structures, Algorithms, and Software Engineering Principles.
- Experience with deploying and managing AI Models in production environments.
- Excellent problem-solving skills, with the ability to troubleshoot complex AI Systems.
- Strong communication and teamwork skills, with the ability to collaborate effectively in a fast-paced environment.