Machine Learning Engineer

Redwood Ridge Inc.; Fort Worth (TX); On-site; USD 100,000 - 132,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer contribs

Tuition reimbursement

Online courses and workshops

Job summary

Redwood Ridge Inc., Fort Worth, TX, seeks a Machine Learning Engineer to design and implement scalable models addressing real-world business problems.

You will collaborate with data scientists and engineers, translate requirements into ML solutions, build production pipelines, and mentor teammates. A Master’s in CS/EE and 3+ years’ experience with Python, TensorFlow or PyTorch are required. The role is full-time in our Fort Worth office.

Qualifications

• Master's degree in CS/EE or related field required.
• 3+ years of ML engineering experience.
• Proficient Python programming with ML libraries.

Responsibilities

• Develop and implement ML models to solve complex business problems.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliverables.
• Design, build, and deploy scalable machine learning systems and pipelines.
• Optimize existing machine learning models to improve performance and accuracy.
• Stay up-to-date with the latest advancements in ML and AI technologies.
• Document and communicate technical solutions effectively to stakeholders.
• Conduct code reviews and mentor junior team members to ensure best practices.
• Participate in Agile development processes and contribute to sprint planning and retrospectives.

Skills

Python programming

TensorFlow

PyTorch

scikit-learn

Education

Master's degree in Computer Science, Electrical Engineering, or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Redwood Ridge Inc., a leading technology firm specializing in data analytics and AI solutions, is seeking a Machine Learning Engineer in Fort Worth, TX. This full-time role involves developing and implementing machine learning models to drive innovative projects.

In this role, you will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Your expertise will enhance data-driven decision-making and improve our market competitiveness.

You will work in a dynamic and collaborative environment at our Fort Worth, TX office. This role offers the opportunity to contribute to and be recognized for impactful projects.

The salary range for this position is between $100,000 and $132,334 per year, providing a competitive compensation package. In addition to the base salary, employees are eligible for comprehensive health insurance plans that cover medical, dental, and vision care. The company also offers a retirement plan with employer contributions, allowing employees to save for their future. Furthermore, professional development opportunities are available, including tuition reimbursement and access to online courses and workshops. These benefits aim to support the overall well-being and career growth of the employees.

To excel in this role, you should have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch is required. Proficiency in Python and SQL is also necessary.

Responsibilities:

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliverables.
• Design, build, and deploy scalable machine learning systems and pipelines.
• Optimize existing machine learning models to improve performance and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document and communicate technical solutions effectively to both technical and non-technical stakeholders.
• Conduct code reviews and mentor junior team members to ensure best practices and high-quality deliverables.
• Participate in Agile development processes and contribute to sprint planning and retrospectives.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in machine learning engineering or a similar role.
• Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud platforms like AWS or GCP is a plus.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills to effectively collaborate with stakeholders.
• Ability to manage multiple projects and prioritize tasks effectively.