Machine Learning Engineer

Atlas South LLC; Phoenix (AZ); Presencial; USD 110.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement plans

Paid time off

Descripción de la vacante

Atlas South LLC, a tech company based in Phoenix, AZ, is seeking a full-time Machine Learning Engineer to drive innovation in the tech industry. You will develop and deploy scalable ML models, optimize algorithms, and collaborate with the data science team to translate business needs into technical solutions.

Join our Phoenix office to work on exciting projects that push the boundaries of machine learning. During interviews, compensation is discussed with salary range and bonuses, and a benefits

Formación

• Strong background in machine learning, with experience developing and deploying models.
• Proficiency in Python and software development practices.
• Solid understanding of data structures and algorithms.

Responsabilidades

• Develop and deploy machine learning models, optimize algorithms, and ensure scalability and efficiency.
• Collaborate with the data science team to translate business needs into technical solutions.

Conocimientos

Machine learning

Python

Algorithms

Descripción del empleo

Atlas South LLC, a tech company based in Phoenix, AZ, is seeking a full-time Machine Learning Engineer to drive innovation in the tech industry.

As a Machine Learning Engineer, you'll develop and implement machine learning models, optimize algorithms, and ensure scalability and efficiency. You'll collaborate with the data science team to translate business needs into technical solutions.

Join a collaborative team in our Phoenix office, working on exciting projects that push the boundaries of machine learning.

During the interview process, the topic of compensation is typically discussed, with the interviewer outlining the salary range and any potential bonuses or performance-based incentives. However, the discussion about employee benefits is often less detailed, with the interviewer providing only a general overview of the benefits package, such as health insurance, retirement plans, and paid time off. The interviewer may also mention any company-specific benefits, such as wellness programs or professional development opportunities, but may not provide specific details about the cost or eligibility requirements for these benefits. The interviewer may encourage the candidate to ask questions or request additional information about the benefits package, but may not always provide a comprehensive overview of all the available benefits.

To excel in this role, you should have a strong background in machine learning, experience in developing and deploying models, proficiency in Python, and a solid understanding of data structures and algorithms.

Develop and implement machine learning models, optimize algorithms, ensure models are scalable and efficient, work closely with data science team to understand business needs and translate them into technical solutionsStrong background in machine learning, experience in developing and deploying models, proficiency in programming languages like Python, solid understanding of data structures and algorithms