Machine Learning Engineer

Birch Atlantic Group; Tampa (FL); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan with employer matching

Paid time off

Wellness programs

Professional development

Flexible work environment

Job summary

Qualifications

• Bachelor's degree in a relevant field.
• 5-7 years of experience in the industry.
• Proficiency in industry-standard software and tools.
• Strong background in machine learning and Python.

Responsibilities

• Develop and implement machine learning models.
• Collaborate with data scientists and software engineers to deploy models into production.
• Evaluate and optimize model performance for accuracy and efficiency.
• Manage projects, analyze data, and provide strategic recommendations to drive business growth.

Skills

Machine Learning

Python

ML Libraries

Model Deployment

Data Analysis

Communication

Team Collaboration

Education

Bachelor's degree

Job description

Birch Atlantic Group, a leading financial services company, is hiring a Machine Learning Engineer in Tampa, FL for a full-time role with competitive pay and benefits.

As a Machine Learning Engineer, you'll design and deploy machine learning models to tackle business challenges. You'll collaborate with data scientists and software engineers to integrate models into production systems, and you'll assess and enhance model performance for accuracy and efficiency.

You'll join the Tampa-based team, contributing to data-driven decision-making and fostering innovation in financial services.

The annual salary range for this position is between $140,000 and $209,747, which is competitive within the industry. This role offers a comprehensive benefits package, including health, dental, and vision insurance, a retirement plan with employer matching, and paid time off. Employees also have access to professional development opportunities, wellness programs, and a flexible work environment that encourages work-life balance. The position requires a bachelor's degree in a relevant field, typically 5-7 years of experience in the industry, and proficiency in industry-standard software and tools. The workplace is modern and equipped with the latest technology, fostering a collaborative and innovative atmosphere. The role involves managing projects, analyzing data, and providing strategic recommendations to drive business growth. Strong communication and interpersonal skills are essential, as the position requires frequent interaction with clients and team members.

You should have a strong machine learning background, with experience in Python and relevant libraries. A degree in computer science, statistics, or a related field is required, along with a proven history of delivering high-quality machine learning solutions.

To apply for the position, candidates are required to submit their resume and cover letter through our careers page by the specified deadline. The resume should be a concise document that highlights the candidate's education, work experience, skills, and achievements. It should be formatted in a professional manner, typically using a word processing software like Microsoft Word or Google Docs. The cover letter should be a personalized document that addresses the specific job requirements and demonstrates the candidate's interest in the role. It should be typed and free of grammatical errors, using the same software as the resume. Both documents should be saved in a compatible file format, such as PDF or DOCX, and named with the candidate's full name and the job title. The submission process should be completed online, and the candidate should ensure that all required information is accurately provided.

Develop and implement machine learning models, collaborate with data scientists and software engineers, integrate models into production systems, evaluate and optimize model performanceStrong background in machine learning, experience in developing and deploying models using Python and relevant libraries, degree in computer science, statistics, or related field, proven track record of delivering high-quality machine learning solutions