Machine Learning Engineer - Databricks ML

ON Data Staffing; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player seeks a talented Machine Learning Engineer to join a dynamic remote team. This exciting role involves developing and implementing advanced machine learning models to tackle complex business challenges. You will collaborate with cross-functional teams, leveraging cutting-edge technologies like Databricks ML, TensorFlow, and PyTorch. This position offers the opportunity to make a significant impact in a fast-paced, innovative environment. If you are passionate about machine learning and eager to contribute to transformative projects, this is the perfect opportunity for you.

Qualifications

• Proven experience as a Machine Learning Engineer focusing on model deployment.
• Strong proficiency in Databricks ML and relevant tools.

Responsibilities

• Collaborate with teams to design scalable machine learning solutions.
• Develop and deploy machine learning models using Databricks ML.

Skills

Machine Learning

Databricks ML

TensorFlow

PyTorch

scikit-learn

Statistical Modeling

Data Preprocessing

Big Data Technologies

Collaboration

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Degree in Engineering

Degree in Mathematics

Tools

Databricks ML

Apache Spark

Job description

ON Data Staffing is currently seeking a talented Machine Learning Engineer with expertise in Databricks ML to join our client's remote team in the United States.

As a key member of our client's Data Science and Machine Learning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-art machine learning models and algorithms to solve complex business problems. This is an exciting opportunity to work with cutting-edge technologies and make a significant impact in a fast-paced, collaborative environment.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and design scalable machine learning solutions.
• Develop and deploy machine learning models using Databricks ML and other relevant technologies.
• Conduct thorough analysis of large-scale datasets to extract meaningful insights and drive decision-making.
• Optimize and fine-tune machine learning models for performance and accuracy.
• Stay current with the latest advancements in machine learning and data science to continuously improve our capabilities.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on building and deploying machine learning models.
• Strong proficiency in Databricks ML and other relevant tools such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.
• Experience working with big data technologies such as Apache Spark is a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Consulting, Information Technology, and Analyst

Industries

Business Consulting and Services, IT Services and IT Consulting, and Data Infrastructure and Analytics