Machine Learning Engineer

Cascade Global; Phoenix (AZ); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Retirement plan (401(k) or pension)

Professional development opportunities

Job summary

Cascade Global, a technology company in Phoenix, AZ, seeks a Machine Learning Engineer for full-time employment. The role involves developing and implementing machine learning models to address healthcare challenges.

Design, train, and deploy models while collaborating with data scientists, software engineers, and healthcare providers to create solutions that improve patient outcomes and healthcare delivery. Experience with TensorFlow/PyTorch and cloud platforms is required.

Qualifications

• Degree in Computer Science, Data Science, or related field.
• 3+ years of experience in machine learning engineering.
• Proficiency in Python with libraries TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud platforms like AWS or Google Cloud.
• Familiarity with SQL and database management systems.
• Strong problem-solving skills and the ability to work independently and in a team.
• Strong communication skills, both written and verbal.

Responsibilities

• Design, develop, and deploy machine learning models to solve healthcare problems.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Conduct data analysis and preprocessing to ensure high-quality input for ML algorithms.
• Evaluate and optimize models for performance, scalability, and accuracy.
• Stay up-to-date with ML advancements and apply them to improve solutions.
• Document technical processes and create clear reports for stakeholders.
• Mentor junior team members in their professional development.

Skills

ML experience

Python

Communication

Problem-solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Google Cloud

Job description

Cascade Global, a technology company in Phoenix, AZ, seeks a Machine Learning Engineer for full-time employment. The role involves developing and implementing machine learning models to address healthcare challenges.

Daily tasks involve designing and training machine learning models to analyze vast datasets, optimizing algorithms for performance to ensure efficient processing, and collaborating with cross-functional teams to integrate these models into healthcare systems. This integration often requires understanding the specific needs of healthcare professionals and the unique challenges of medical data. The goal is to create models that can assist in diagnosing diseases, predicting patient outcomes, and improving overall healthcare delivery. Regular communication and coordination with team members from various disciplines, such as data scientists, software engineers, and healthcare providers, are essential to ensure the successful implementation and adoption of these models.

The Machine Learning Engineer will work in a collaborative environment with a growing team in Phoenix, AZ. The workplace is innovative and values contributions.

The salary for this position is negotiable, offering flexibility for both the employer and the candidate. In addition to the base salary, employees can benefit from comprehensive health insurance coverage, which may include medical, dental, and vision plans. The company also provides retirement plans, such as a 401(k) or pension scheme, to help employees save for their future. Furthermore, professional development opportunities are available, including training programs, workshops, and access to online courses, to help employees enhance their skills and advance their careers.

Candidates must have a degree in Computer Science, Electrical Engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch is required. Proficiency in Python and SQL is essential.

The application process is open to all qualified individuals, and Cascade Global welcomes applications from a diverse range of backgrounds and experiences.

Duties:

• Design, develop, and deploy machine learning models to solve complex healthcare problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct data analysis and preprocessing to ensure high-quality input for machine learning algorithms.
• Evaluate and optimize machine learning models for performance, scalability, and accuracy.
• Stay up-to-date with the latest advancements in machine learning and data science, and apply this knowledge to improve our solutions.
• Document technical processes and create clear, concise reports for stakeholders.
• Mentor and guide junior team members in their professional development.

Requirements:

• Bachelor's degree in Computer Science, Data Science, 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 Google Cloud.
• Familiarity with SQL and database management systems.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, both written and verbal.