Our client a global technology consulting company providing high-end services in software engineering, clinical research and data science is looking for a:

Sr. ML Solution Engineer

Your mission

As a Senior ML Solution Engineer, you will work closely with multi-disciplinary teams to design, develop and deploy structured, high-quality data solutions in particular NLP solutions.

Responsibilities

Partner with the Data Scientists and cross functional teams to solve complex problems and create unique solutions by using modern NLP technologies including LLMs.
Build data pipelines and deployment pipelines for ML models.
Development of ML models according to business and functional requirements.
Serves as a technical point of contact for enterprise wide technologies solutions. Leads complex troubleshooting efforts and root cause analysis.

Qualifications

Bachelor’s degree in Computer Science/Engineering or equivalent work.
Experience in information technology environment (networking, infrastructure, database).
2+ years of commercial Data Engineering / ML Engineering / MLOps / UI/U engineering experience.
Experience with MLOps technologies (Sagemaker, Vertex AI, Kubeflow).
Experience with cloud solutions (AWS / Azure / GCP), docker .
Recent experience with ML/AI toolkits such as AWS Sagemager (other toolkits like Pytorch, Tensorflow, Keras, MXNet, H20, etc are nice to have).
Good knowledge of: git, bash, linux, CI/CD tools (e.g. jenkins, gitlab CI), software lifecycle, RDB, visualization tools eg Tableau, Jira, confluence.
Programming languages: Python, R.
Full command in english.

Please send your resume to: a.bonilla@ssolutionscr.com