Full Time

Machine Learning Engineer

TaskVerse
Full-time
Associate
Data Infrastructure and Analytics
United States
$135,000 - $200,000* / year (about $65–$96 an hour)

Job Description

About The Company

Vaco LLC connects organizations with skilled professionals who help address evolving business needs. This opportunity supports a business with an established machine learning team and mature cloud and big data environment. The organization is expanding its predictive analytics capabilities to move beyond traditional reporting and deliver solutions that help teams anticipate business performance and make informed decisions.

About The Role

Vaco LLC is seeking a hands-on Machine Learning Engineer / Predictive Analytics Consultant to help scale predictive analytics across the business. The role will focus on forecasting, predictive modeling, and business intelligence transformation, with particular emphasis on sales and marketing initiatives. The preferred locations are Birmingham, Alabama, or Dallas, Texas.

This is a collaborative yet autonomous position for a professional who can work through ambiguity, manage priorities, and deliver practical solutions with limited direction. You will partner with business stakeholders to understand complex challenges, shape them into analytical opportunities, and build models that can operate effectively in an enterprise environment. Your work will help increase delivery capacity, accelerate project timelines, and support a growing demand for analytics.

Qualifications

Candidates should have at least five years of experience in machine learning, predictive analytics, data science, or a related discipline. Strong, hands-on proficiency in Python and SQL is required, along with experience developing machine learning and predictive models from the ground up. Applicants should have worked with large-scale datasets and distributed data processing environments, and be familiar with statistical analysis, forecasting, model validation, and performance optimization.

Experience operating in a cloud-based analytics ecosystem, such as AWS, Azure, or Google Cloud Platform, is expected. Spark or PySpark and Snowflake experience are helpful. Preferred qualifications include sales and marketing analytics, business performance forecasting, enterprise machine learning, Databricks or similar modern data platforms, and direct communication with business stakeholders or leadership. The successful candidate brings sound analytical judgment, strong problem-solving skills, and the ability to turn business needs into scalable technical solutions.

Responsibilities

Design, build, test, and deploy machine learning and predictive analytics models using structured and unstructured data. Develop forecasting and prediction solutions for sales, marketing, and operational initiatives. Work directly with stakeholders to clarify goals, investigate business questions, and translate ambiguous requests into actionable analytical work.

Conduct exploratory data analysis and feature engineering; select, validate, tune, and optimize models; and communicate findings and model outcomes to technical and non-technical audiences. Use the organization’s cloud and big data environment to support scalable analytics. Collaborate with analytics, engineering, and business leadership, contribute to improvements in team processes and operational efficiency, and help deliver projects across a growing analytics backlog.

Benefits

Eligible employees may participate in medical, dental, and vision benefits, as well as the company’s 401(k) retirement plan. Discretionary bonuses may also be available. Compensation is determined based on factors such as skills, experience, training, certifications, location, and business needs. Any applicable salary range is provided in the original job posting in accordance with local pay transparency requirements.

Equal Opportunity

Vaco LLC is an Equal Opportunity Employer and does not discriminate against employees or applicants on the basis of race, color, sex, pregnancy or related conditions, religion, national origin, citizenship, age, disability, veteran status, union membership, ethnicity, gender identity or expression, sexual orientation, marital status, political affiliation, or any other characteristic protected by applicable law. Vaco LLC is committed to inclusion and will provide reasonable accommodations to qualified individuals with disabilities during the application and interview process and in performing essential job functions. Candidates who need an accommodation may contact Vaco LLC to request assistance.

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