Data Scientist AI/ML Engineering & Machine Learning ModelingTekwissen • United States
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Data Scientist AI/ML Engineering & Machine Learning Modeling
Tekwissen
- United States
- United States
À propos
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: We're hiring a hands-on Data Scientist with strong AI/ML engineering skills to help design and build AI/ML solutions across cloud platforms. You'll 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 you'll 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
Master's + 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.
Compétences linguistiques
- English
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