AKKODIS is a global leader in engineering consulting, we support the world’s leading industry players in their digital transformation and throughout their entire product life cycle.
We believe the next generation of digital transformation will reshape entire industries and help solve the world’s toughest challenges. We are here to make that future, smarter for everyone, with a diverse team of 50,000 engineers and digital experts, operating across 30 countries. United by our passion for talent and technology, we look at the world differently.
We are looking for an experienced Data Scientist GenAI SME who has hands-on knowledge in building ML solutions using Python. The role involves harnessing advanced Machine Learning (ML) techniques to build solutions utilizing frameworks such as GPT, Llama, BERT, or Watsonx models. The primary responsibilities include model development, customization, deployment on hyperscale ML platforms.
Your main responsibilities will be:
Utilize Python and relevant libraries/frameworks (GPT, Llama, BERT, Watsonx, etc.) to design and train ML models.
Customize models according to specific data requirements and use cases.
Deploy trained models on hyperscale ML platforms like Azure ML Studio, AWS SageMaker, etc.
Implement and refine custom deployment patterns as needed for optimized performance and scalability.
Collaborate closely with the client’s Enterprise Architecture team to understand business needs and align AI solutions.
Provide guidance and expertise in identifying the most suitable GenAI models and deployment patterns for client's objectives.
Stay updated with the latest advancements in GenAI, Machine Learning, and related technologies.
Profile
The ideal candidate has:
Bachelor's/Master's degree in Computer Science, Data Science, or related field.
Previous experience (at least 3 years) in a similar role with a track record of successful ML model development and deployment.
Proven experience in implementing ML models using GPT, Llama, BERT, Watsonx, or similar frameworks.
Proficiency in Python programming for ML development and deployment.
Hands-on expertise in deploying models on hyperscale ML platforms such as Azure ML Studio, AWS SageMaker, etc.
Place of work: Remote