Machine Learning Engineer

Alliance North LLC; Las Vegas (NV); On-site; USD 110,000 - 170,000; Full time

Job summary

Alliance North LLC in Las Vegas, NV is seeking a skilled machine learning engineer to develop and implement ML solutions that power renewable energy initiatives. The role involves collaborating with data scientists and engineers to translate needs into robust models and insights.

You will work across projects, stay current with ML advances, and document your work while helping establish best practices. A degree in CS or Statistics and experience with Python and ML frameworks are expected.

Qualifications

• Degree in Computer Science, Statistics, or related field.
• Hands-on experience with TensorFlow, PyTorch, or scikit-learn.
• Proficient in Python or R.
• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration.

Responsibilities

• Design, develop, and deploy machine learning models to solve real-world problems.
• Collaborate with data scientists, engineers, and stakeholders to understand requirements.
• Optimize models for performance, scalability, and efficiency.
• Stay up-to-date with advances in ML and AI and apply them to solutions.
• Document work and share knowledge with the team.
• Contribute to ML best practices and standards within the organization.

Skills

Machine learning

Python

R

TensorFlow

PyTorch

scikit-learn

Data preprocessing

Feature engineering

Model evaluation

Team collaboration

Education

Bachelor's in Computer Science or Statistics

Tools

Python

Job description

Develop and implement machine learning solutions. Collaborate with teams to understand needs and deliver innovative solutions. Analyze complex data to provide actionable insights.

Collaborate within a team setting at Alliance North LLC, located in Las Vegas, Nevada, to contribute to the renewable energy sector. This role involves working alongside professionals to develop and implement strategies that promote the use of renewable energy sources. Tasks may include conducting research on new technologies, analyzing market trends, and assisting in the development of proposals for renewable energy projects. The team environment fosters a collaborative atmosphere where ideas are shared and developed collectively, ensuring that the organization's goals in the renewable energy sector are met efficiently and effectively.

The salary offered is negotiable, allowing for potential adjustments based on the candidate's qualifications, experience, and market conditions. While the specific benefits are not detailed, it is common for such positions to include health insurance, retirement plans, and possibly other perks like paid time off or professional development opportunities. The employer may also consider additional compensation packages or bonuses as part of the overall remuneration.

Must have experience in machine learning. Ability to work with cross-functional teams. Strong analytical skills. Knowledge of renewable energy sector preferred.

What You Will Do:

• Design, develop, and deploy machine learning models that solve real-world problems.
• Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver high-quality solutions.
• Optimize machine learning models for performance, scalability, and efficiency.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to improve our solutions.
• Document your work and share your knowledge with the team to foster a culture of continuous learning.
• Contribute to the development of best practices and standards for machine learning within the organization.

What You Bring:

• A strong background in machine learning, with a degree in Computer Science, Statistics, or a related field.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in programming languages like Python or R.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Strong problem-solving skills and the ability to think critically about complex issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.