Data Scientist - AI/ML Engineering & Machine Learning Modeling

Data Scientist ? AI/ML Engineering & Machine Learning Modeling (Contract)
Remote

Contract (5 months 28 days)

Published 4 days ago

SQL

LLM - Large Language Model

Python

Job Summary:

We are seeking a highly skilled and hands‑on data scientist who combines deep analytical expertise with strong engineering capabilities to design, build, and deploy AI and machine learning solutions at scale. In this role, you will serve as a bridge between business stakeholders and technical teams, transforming complex business challenges into measurable, production‑ready AI/ML services. You will work across modern cloud platforms to develop everything from generative AI agents to traditional machine learning models, while also creating intuitive applications that deliver insights directly to end users. This position offers the opportunity to work on diverse problems spanning classification, forecasting, recommendation systems, and cutting‑edge generative AI applications, all while contributing to a culture of technical excellence and best practices.

Responsibilities

Collaborate with business and engineering teams to translate business problems into well‑defined AI/ML solutions with clear success metrics

Design, train, validate, and deploy machine learning models for classification, regression, recommendation, and time‑series forecasting applications

Select appropriate algorithms, features, and evaluation strategies aligned with business objectives

Develop and evaluate generative AI agent applications using frameworks such as Langchain and Google ADK

Leverage advanced techniques including retrieval‑augmented generation, prompt engineering, and vector database integration

Build and maintain reliable data pipelines and model inference endpoints across cloud platforms

Implement CI/CD workflows, automated testing, and monitoring systems for machine learning and data projects

Create lightweight dashboards and internal applications to deliver models and insights to stakeholders

Write comprehensive model documentation covering problem formulation, modeling approach, validation methodology, data requirements, and deployment procedures

Promote coding best practices, reproducibility, and knowledge sharing across the global data science organization

Skills

Advanced proficiency in Python and SQL

Experience with scikit‑learn, XGBoost, and LightGBM

Proficiency in at least one deep learning framework (PyTorch or TensorFlow)

Hands‑on experience building generative AI and large language model applications

Expertise in developing agentic workflows

Strong ability to build reliable data pipelines with focus on data quality and lineage

Experience implementing CI/CD for machine learning and data projects using tools like GitHub Actions, Cloud Build, or AWS CodeBuild/CodePipeline

Practical experience developing internal dashboards and applications using Streamlit and/or Plotly Dash

Working knowledge of Google Cloud Platform services including BigQuery, Vertex AI, Cloud Run, and Gemini Enterprise

Working knowledge of AWS services including S3, Lambda, ECS, and SageMaker

Deep understanding of AI/ML algorithms including their intuition, assumptions, statistical theory, computational complexity, and appropriate use cases

Qualifications

Masters degree with 1+ years of experience, or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics, or related quantitative field

This is an exceptional opportunity to join a rapidly growing global AI/ML team of over 26 cross‑functional members within a larger data science organization of 70+ professionals. You will work in small, autonomous project teams that foster close collaboration and meaningful impact, while contributing to innovative solutions that support business operations across a major agricultural science company. The role offers significant autonomy, exposure to diverse technical challenges, and the chance to shape best practices in a dynamic, forward‑thinking environment.

#J-18808-Ljbffr