Junior Machine Learning Engineer

Banyak Group; Chicago (IL); On-site; USD 85,000 - 110,000; Full time

Job summary

A multi-strategy hedge fund in Chicago is looking for a Junior Machine Learning Engineer to design and implement machine learning models for back-office automation. This role requires a Bachelor's or Master's degree in a relevant field and at least 2 years of experience with Python and machine learning libraries. You will work closely with infrastructure engineers and collaborate with teams to improve operational efficiency. Knowledge of financial services is a plus but not mandatory. Competitive salary and benefits offered.

Qualifications

• 2+ years of experience in a machine learning engineer role focused on automating business processes.
• Strong proficiency in Python with experience in machine learning libraries.
• Experience with Snowflake and Databricks for data pipeline development.

Responsibilities

• Develop and deploy machine learning models to automate back-office processes.
• Work closely with infrastructure engineers to integrate ML solutions with existing systems.
• Continuously monitor and optimize machine learning models.

Skills

Python

Machine Learning

Data Pipeline Development

Problem-solving skills

Communication skills

Education

Bachelor's or Master's degree in Computer Science, Data Science, or related field

Tools

Snowflake

Databricks

TensorFlow

PyTorch

Scikit-learn

Job description

Multi-Strategy hedge fund is seeking a Junior Machine Learning Engineer in the Chicago area. This position is responsible for designing, developing, and implementing machine learning models and algorithms to automate various back-office processes. Your work will directly impact the efficiency of our operations, but it will not involve any direct involvement in our investment processes. You will collaborate closely with our infrastructure engineers to ensure that your solutions are scalable, secure, and integrated seamlessly into our existing systems.

Responsibilities

• Develop and deploy machine learning models to automate back-office processes, such as trade reconciliation, reporting, compliance checks, and other operational tasks.
• Work closely with infrastructure engineers to integrate machine learning solutions with existing systems, ensuring scalability and security.
• Utilize Python, Snowflake, and Databricks to develop data pipelines, preprocess data, and implement machine learning algorithms.
• Continuously monitor and optimize machine learning models to improve accuracy and efficiency.
• Collaborate with cross-functional teams to identify areas where machine learning can add value and propose innovative solutions.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve our processes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 2+ years of experience in machine learning engineer, with a focus on automating business processes.
• Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Experience working with Snowflake and Databricks, including data pipeline development and management.
• Familiarity with SQL and data warehousing concepts.
• Experience collaborating with infrastructure engineers to deploy machine learning models in production environments.
• Strong problem-solving skills and the ability to work independently as well as in a team.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Knowledge of financial services or hedge fund operations is a plus but not required.