Senior AI/ML Engineer
4 days ago
Nord Group 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.
Job OverviewAs 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.
- 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.
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