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Description

Job Title: Machine Learning Engineer/Data Scientist

Overview:

We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will possess a solid educational background in quantitative fields such as Applied Statistics, Artificial Intelligence, Computer Science, or related disciplines. With a strong foundation in machine learning techniques and programming languages, the Machine Learning Engineer will contribute to innovative solutions in data wrangling, model development, and deployment within our multidisciplinary environment.

Responsibilities:

• Utilize expertise in R or Python programming languages for data wrangling, machine learning, and data visualization.

• Apply fundamental understanding of machine learning techniques, including logistic regression, random forest, neural networks, and more.

• Conduct variable selection, dimensionality reduction, and model diagnostics to optimize model performance.

• Deploy machine learning models in production environments, utilizing CI/CD pipelines and containerization tools like Docker, Podman, or Kubernetes.

• Collaborate effectively within a diverse technical team to deliver innovative solutions to complex problems.

• Demonstrate strong communication skills to interact with colleagues from various backgrounds.

• Utilize critical thinking and problem-solving skills to address challenges and adapt to evolving requirements.

Qualifications:

• M.S. or above in Applied Statistics, Artificial Intelligence, Computer Science, or related quantitative fields. Ph.D. or additional experience preferred but not required.

• Proficiency in R or Python programming languages.

• Experience with machine learning techniques and frameworks such as TensorFlow, PyTorch, and scikit-learn.

• Familiarity with variable selection, model training, testing, and validation processes.

• Experience deploying machine learning models in production environments.

• Ability to work independently and collaboratively within a team environment.

• Strong communication skills, both verbal and written.

• Excellent critical thinking and problem-solving abilities.

Preferred Qualifications:

• Familiarity with biological, cellular, or ecological data modeling.

• Previous experience in machine learning engineering or similar roles, with a focus on model deployment and data pipeline construction.

• Knowledge of artificial intelligence or generative AI techniques.

• Experience with big data technologies such as Hadoop and Spark, as well as database management systems like SQL and NoSQL.

• Familiarity with AWS services.

• Experience consulting on scientific projects or working within scientific teams.

Join us and contribute to cutting-edge projects that leverage machine learning to drive innovation and solve real-world challenges.

Requirements Applied Statistics, Statistics, Mathematical Statistics, Machine Learning, Machine Learning, Python Technology Doesn't Change the World, People Do.®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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