Machine Learning Engineer 2

Machine Learning Engineer 2

Job Description:

Join a dynamic and innovative team as a Machine Learning Engineer, where you will collaborate closely with a group of talented data scientists. In this position, you will play a pivotal role in the development, coding, and large-scale deployment of data science models utilizing cutting-edge tools and technologies. Your primary responsibilities will include data wrangling, feature engineering, model development, and evaluating metrics to ensure the effectiveness of your models. You will be tasked with not only creating prototype models but also taking these models to production, ensuring they are scalable and efficient for customer use. As you enhance existing models, you will delve into the specifics of algorithm implementations to optimize performance and reduce training times. You will also have opportunities to develop new tools designed to alleviate challenges within the data science workflow, such as improving data processing speeds and managing data more effectively. This role provides a fantastic opportunity to leverage your technical skills while working in a collaborative environment.

IT Languages:

• Python
• R
• SQL

As a Machine Learning Engineer, your responsibilities will encompass a wide range of tasks aimed at transforming raw data into actionable insights through machine learning models.:

Discover and access various data sources, ensuring the data is clean and prepared for machine learning applications;; Collaborate with data scientists to create and refine features from data, building efficient pipelines for model training and deployment;; Work alongside data scientists to design, implement, and refine machine learning algorithms and other analytical models;; Conduct regular A/B testing and statistical analyses to assess the impact of models and make data-driven decisions;; Engage in cross-functional teamwork with product managers, data scientists, and product engineers, effectively communicating results and findings;; Explore and analyze new technological advancements to evaluate their potential benefits for customer solutions

Spoken Languages:

• English;; Spanish;; French

Skillset:

• Data Wrangling
• Feature Engineering
• Machine Learning Algorithms
• Model Evaluation
• Data Processing

Soft Skills:

• Team Collaboration
• Problem Solving
• Effective Communication
• Analytical Thinking

Qualifications:

• BS, MS, or PhD degree in Computer Science or a related field
• Equivalent practical experience in a relevant field
• Proficiency in data science tools and frameworks such as Python, Scikit-learn, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark
• Basic understanding of machine learning techniques including classification, regression, and clustering

Years of Experience:

3

Location:

New York, NY, United States

Job Benefits:

• Health Insurance
• Retirement Plan
• Paid Time Off
• Professional Development Opportunities
• Flexible Work Hours

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• The company fosters an inclusive and supportive work environment that encourages innovation and continuous learning. Team members are valued for their unique perspectives and contributions, and collaboration is at the heart of the company's success.

Opportunities For Advancement:

• Career Development Programs, Mentorship Opportunities, Leadership Training, Cross-Departmental Projects

Visa Sponsorship:

Available