AI Engineer, Machine Learning Team
AI Engineer, Machine Learning Team
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Job Description
MLSE is seeking an innovative AI Engineer to transform promising generative AI proof-of-concepts into production-ready solutions under the Gen AI Innovation Program. In this pivotal role youll collaborate with product and infrastructure teams to build fully integrated AI systems that deliver immediate value across team operations. Youll develop sophisticated conversational and multimodal AI applications that revolutionize how our teams handle their workflows across the company including business and team operations reducing workloads and improving decision-making accuracy.
Position Type: Freelance 12-Month Contract
- Design and develop AI solutions using AWS services particularly Bedrock SageMaker and other generative AI technologies.
- Implement RAG best practices for large language models (LLMs) for specific sports domain applications.
- Work on AI-powered business intelligence projects converting data catalogs into easy-to-query assets from natural language.
- Establish workflows for ongoing model training evaluation and improvement.
- Work closely with stakeholders across business and team operations to understand requirements and refine solutions.
- Implement robust testing protocols and evaluation metrics for AI applications.
- Document processes and maintain technical documentation.
- Present progress updates and demos during project health checks and monthly reviews.
Qualifications :
Note: Before reviewing the qualifications listed below we want you to know that we understand you may not meet all the qualifications described and have other relevant expertise and experience. We invite you to please share this with us in the Message to the Hiring Manager section of our online application.
- Bachelors degree in Computer Science Data Science Machine Learning or related field.
- Demonstrated experience implementing and optimizing Large Language Models (LLMs) in production environments.
- Strong expertise in building Retrieval-Augmented Generation (RAG) systems and semantic search applications using vector databases.
- Advanced Python programming skills and familiarity with modern ML frameworks (PyTorch TensorFlow Hugging Face).
- Familiarity with Langchain and LLM Orchestration.
- Experience in productionizing AI applications through:
- CI/CD pipelines and MLOps best practices.
- Containerization (Docker) and orchestration (Kubernetes).
- API development and microservices architecture.
- Experience developing workflow automation solutions that integrate AI capabilities.
- Proven ability to transition AI prototypes to scalable resilient production systems.
- Experience with prompt engineering techniques and LLM evaluation frameworks.
Additional Information :
Apply by: July 8 2025
We thank all applicants for their interest however only those selected for an interview will be contacted.
At MLSE we are committed to building an equitable diverse and inclusive organization.
We are an equal opportunity employer and we do not discriminate on the basis of race ancestry place of origin colour ethnic origin citizenship creed sex sexual orientation gender identity gender expression age record of offences marital status family status or disability. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability please note this email is only for accommodation requests. Resumes sent to this email address will not be considered.
#LI-DNP
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
