Data Scientist — AIML Engineering & Machine Learning Modeling

Saint Louis, MI - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world headquartered in Leverkusen and areas of business include pharmaceuticals; consumer healthcare products agricultural chemicals seeds and biotechnology products.

Job Title: Data Scientist - AI/ML Engineering & Machine Learning Modeling

Location: St Louis MO 63146

Duration: 6 Months

Job Type: -Temporary Assignment

Work Type: Remote

Job Description:

Were hiring a hands-on Data Scientist with strong AI/ML engineering skills to help design and build AI/ML solutions across cloud platforms.
Youll work with business and engineering partners to translate business problems into measurable scalable AI/ML services - including GenAI agents production ML models and lightweight internal apps.

What youll do

Partner with business and engineering teams to translate problems into measurable AI/ML solutions and success metrics.
Design train validate and deploy models for classification regression recommendation and time-series forecasting; pick algorithms features and evaluation strategies that match business goals.
Develop and evaluate GenAI agent applications using frameworks like Langchain and Google ADK leveraging techniques such as RAG prompt engineering and vector DB integration.
Build and operate reliable data pipelines and model inference endpoints across GCP and AWS (BigQuery Vertex AI Cloud Run S3 Lambda SageMaker etc.).
Implement CI/CD automated testing and monitoring for ML/data projects (GitHub Actions Cloud Build CodeBuild/CodePipeline).
Create lightweight dashboards and internal apps (Streamlit Plotly Dash) to deliver models and insights to stakeholders.
Write clear model documentation: problem formulation modeling approach validation data needs and deployment steps.
Advocate for coding best practices reproducibility and shared documentation across a global data science organization.

Required qualifications

Masters 1 years or a PhD in Data Science Computer Science Applied Math/Statistics Econometrics or related quantitative field.
Strong Python and SQL skills; experience with scikit-learn XGBoost/LightGBM and a deep learning framework (PyTorch or TensorFlow).
Hands-on experience building GenAI/LLM applications and agentic workflows.
Practical experience building reliable data pipelines and ensuring data quality/lineage on GCP (BigQuery).
CI/CD experience for ML/data projects (e.g. GitHub Actions Cloud Build AWS CodeBuild/CodePipeline etc).
Practical experience building internal dashboards/apps with Streamlit and/or Plotly Dash.
Cloud experience with GCP (BigQuery Vertex AI Cloud Run Gemini Enterprise) and AWS (S3 Lambda ECS SageMaker).
Solid comprehension of the mechanisms behind widely used AI/ML algorithms - including their intuition assumptions statistical theory computational complexity strengths/weaknesses and when to use each.

Preferred qualifications

Security and compliance best practices: IAM secrets management VPC/networking.
Experience building APIs for model/agent inference.
Containerization & orchestration.
Workflow orchestration.
Background in causal inference statistics or econometrics.
A/B testing and experimentation design.

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in ...