Machine Learning Engineer 100% Remote

SherlockTalent; Florida; Remote; USD 170,000; Full time

Job summary

A leading technology firm is seeking a Machine Learning Engineer. This remote position offers the chance to work with e-commerce experts in creating impactful ML models. Candidates with 3-5 years of experience, strong Python skills, and ML model deployment experience are required. Join a startup environment to drive innovative solutions in the rapidly growing e-commerce sector.

Benefits

$1,000 referral bonus

Qualifications

• Minimum 3-5 years in machine learning and data analytics.
• Experience deploying ML models from R&D to production.
• Understanding entire data lifecycle and pipeline.

Responsibilities

• Lead design and development of machine learning models for optimal pricing.
• Validate models and perform data analysis.
• Collaborate with e-commerce experts to identify revenue drivers.

Skills

Python proficiency

Statistical modeling

Data analysis

Machine learning algorithms

SQL

Analytical skills

Education

Higher education in computer science, mathematics, physics or data science

Tools

AWS cloud services

pandas

numpy

sklearn

SQL

Job description

Overview

Location: 100% Remote, work from anywhere in the world (Company based in South Florida)

Role: Machine Learning Engineer

Compensation: Depends on Experience, US $170K+ DOE

Job Type: Full Time W2 or Fulltime Contract, C2C

We are looking for an entrepreneurial minded Machine Learning Engineer to help us disrupt thee-commerce industry. We believe it is time for technology and data to help Merchants deliver thebest pricing to their customers, no matter what. If you are looking for an opportunity to join astart-up led by a proven founder in an industry that is growing exponentially, and an opportunity towork alongside a Chief Data Scientist and another ML Engineer, then this is the opportunity to workon something not only exciting and fun, but also creative in ways that most people will neverexperience in their lifetime.

What You Will Do

• You will work side by side with e-commerce experts and lead in the design and development of machine learning models to deliver optimal pricing for merchants.
• You will work on determining and capturing features best suited to achieve accurate predictions including but not limited to indicators of revenue, price and conversation rates.
• In this role you will develop and validate machine learning models, research relevant statistical methods, perform data analysis, and provide recommendations for operationalizing machine learning models into production.

Who You Are

• You are passionate about statistics and Machine Learning modeling. You are pragmatic and effective, looking for all possible ways of improving your models. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause.
• You have a deep understanding of the different parts of the data pipeline, having been exposed to data analysis, data engineering, analytics engineering and data science. However, Machine Learning Engineering is what you want to focus on. You thrive working in a startup “get it done” environment and continuously delivering models into production to test makes you happy. You always deliver quality work but you embrace failure as a way to improve!
• A successful candidate must:
• Be extremely hands-on and proficient working with Python (pandas, numpy, sklearn, etc).
• Experienced with plotting in Python (matplotlib, etc). Dashboarding experience is a plus.
• Be self-motivated and comfortable owning the entire lifecycle from beginning to end.
• Be able to understand the business needs first and then apply technology to solve those problems.
• Have experience aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization.
• Have strong analytical skills.

What You Need

• Minimum 3-5 years working professionally in the machine learning and data analytics field.
• A higher education degree in computer science, mathematics, physics or data science is a major plus.
• Proven experience taking machine learning algorithms from R&D to product, especially using AWS cloud services.
• Proficient with SQL and data wrangling.
• Real world experience as an ML engineer or data scientist role building and deploying ML models or developing deep learning models, with experience in at least 3 of the 5 key machine learning algorithms: Ridge Regression and Lasso, random forests, linear optimization models, sensitivity analysis, and boosting model.

To apply

To apply, please send us a brief paragraph about why you are interested and what you would do in your week. GitHub examples of your proudest projects or open-source contributions is a plus so please send along.

Sherlock loves to share $1,000 referral bonuses for successful placements!