Job Title:

Machine Learning Engineer - Onsite

Job Description

The Machine Learning Engineer will play a critical part in developing and deploying cutting-edge machine learning solutions that address challenging business problems and drive innovation across the organization.

A NEW CAREER POWERED BY YOU

Are you looking for a career change with a forward-thinking global organization that nurtures a true people-first, inclusive culture and a genuine sense of belonging? Would you like to join a company that earns “World’s Best Workplaces,” “Happiest Employees,” and “Best Companies for Career Growth” awards every year? Then a Machine Learning Engineer position at Concentrix is just the right place for you!

CAREER GROWTH AND PERSONAL DEVELOPMENT

This is a great opportunity to reimagine an all-new career journey and develop “friends for life” at the same time. We’ll give you all the training, technologies, and continuing support you’ll need to succeed. Plus, at Concentrix, there’s real career (and personal) growth potential. In fact, about 80% of our managers and leaders have been promoted from within! That’s why we offer a range of FREE Learning and Leadership Development programs designed to set you on your way to the kind of career you’ve always envisioned.

WHAT YOU WILL DO IN THIS ROLE 

As a Machine Learning Engineer, you will:

Research, design, and develop innovative machine learning algorithms and models.Implement and deploy machine learning models into production environments.Conduct rigorous experimentation and evaluation of model performance.Analyze large datasets to identify patterns, trends, and insights.Collaborate with cross-functional teams (e.g., data engineers, data scientists, product managers) to define and refine project scope and objectives.Stay abreast of the latest advancements in machine learning and deep learning research.Contribute to the development of best practices and standards for machine learning development and deployment.

POSITION REQUIRMENTS

18 Years of age or older with a completed High School Diploma or GED requiredEmployment for this position is onsite in Austin onlyAble to rotate shifts as needed as well as adhere to shift schedules and maintain acceptable attendance.Graduate in Computer Science, Statistics, Mathematics, or a related field.Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).Proven experience in developing and deploying machine learning models in real-world applications.Solid understanding of statistical and machine learning concepts, including supervised learning, unsupervised learning, deep learning, and natural language processing.Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.Excellent communication and collaboration skills.A strong passion for solving complex problems and a desire to learn and grow.

ADDITIONAL QUALIFICATIONS

1. Programming Proficiency:

Languages: Python is the dominant language in the field, with libraries like TensorFlow, PyTorch, scikit-learn being essential.Software Engineering Principles: Writing clean, efficient, and maintainable code is crucial. Understanding version control (Git), testing methodologies, and software design patterns are vital.

2. Mathematical and Statistical Foundations:

Linear Algebra: A strong grasp of vectors, matrices, and linear transformations is fundamental.Calculus: Understanding derivatives, gradients, and optimization algorithms is essential for training machine learning models.Probability and Statistics: Concepts like distributions, hypothesis testing, and Bayesian inference are crucial for data analysis and model evaluation.

3. Machine Learning Algorithms:

Supervised Learning: Regression, classification (e.g., logistic regression, support vector machines, decision trees, random forests).Unsupervised Learning: Clustering (e.g., k-means, DBSCAN), dimensionality reduction (e.g., PCA).Deep Learning: Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers.

4. Data Engineering Skills:

Data Wrangling: Cleaning, transforming, and preparing data for analysis (e.g., handling missing values, feature engineering).Data Pipelines: Building and maintaining efficient data pipelines for data ingestion, processing, and model training.Big Data Technologies: Familiarity with technologies like Hadoop, Spark, and cloud platforms (AWS, Azure, GCP) is beneficial.

5. Model Deployment and Monitoring:

Cloud Platforms: Deploying models as APIs or services on cloud platforms.Model Monitoring: Tracking model performance over time, detecting and addressing issues like concept drift and data bias.MLOps: Implementing best practices for managing the entire machine learning lifecycle.

6. Communication and Collaboration:

Effective Communication: Clearly explaining complex technical concepts to both technical and non-technical audiences.Teamwork: Collaborating effectively with data scientists, software engineers, and other stakeholders.

WHAT’S IN IT FOR YOU
 

One of our company’s Culture Beliefs says, “We champion our people.” That’s why we significantly invest in our game-changers, our infrastructure, and our capabilities to ensure long-term success for both our teams and our customers. And we’ll invest in YOU to aid in your career path and in your personal development. In this role, you’ll also be provided with:

Employee rewards and recognition programsLucrative employee referral bonus opportunities401K with company match; paid PTO and holidays; medical, dental, and vision insurance; and a comprehensive Employee Assistance Program (EAP)Health and wellness programs with trained partners to help promote a healthy youMentorship programs that support your rewarding career journey A modern, state-of-the-art office setting with advanced technologies and a great teamPrograms and events that support diversity, equity, and inclusion, as well as global citizenship, sustainability, and community support

REIMAGINE THE BEST VERSION OF YOU! 
 

If all this feels like the perfect next step in your career journey, we want to hear from you. Apply today and discover why over 440,000 game-changers around the globe call Concentrix their “employer of choice.”

Location:

USA Austin TX - Client Site 2

Language Requirements:

English

Time Type:

Full time

​Physical & Mental Requirements: While performing the duties of this job, the employee is regularly required to operate a computer, keyboard, telephone, headset, and other office equipment. Work is generally sedentary in nature.

If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Eligibility to Work:

In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.

Where Job May be Performed:

Currently, this position may be performed only in the states listed here.

Concentrix is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets.

For more information regarding your EEO rights as an applicant, please visit the following websites:

•English

•Spanish

To request a reasonable accommodation please click here.

If you wish to review the Affirmative Action Plan, please click here.