Machine Learning Engineer

Horizon National Corp.; Denver (CO); Sur place; USD 100 000 - 130 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement plan with company match

Professional development workshops

Flexible work arrangements

Résumé du poste

Horizon National Corp. in Denver, CO. seeks a Machine Learning Engineer to develop and deploy ML models solving complex business problems.

The role offers negotiable salary, comprehensive benefits, and opportunities for professional development in a collaborative team environment. Candidate requirements include a degree in Computer Science or related field, 2+ years ML/AI experience, and proficiency in Python with TensorFlow/PyTorch, plus SQL and data visualization knowledge.

Qualifications

• Requires a degree in Computer Science, Statistics or related field.
• 2+ years of ML/AI experience with Python and ML libraries (TensorFlow, PyTorch).
• Proficiency in Python, SQL, and data visualization tools.

Responsabilités

• Develop and implement machine learning models to solve business problems.
• Collaborate with cross-functional teams to translate business needs into solutions.
• Perform data analysis and preprocessing for model training.
• Monitor model performance and implement improvements.
• Stay updated on ML/AI trends and document findings for stakeholders.
• Work with large datasets and scalable ML solutions.
• Participate in code reviews and establish best practices.

Connaissances

Python

TensorFlow

PyTorch

Data preprocessing

Feature engineering

Model evaluation

SQL

Data visualization

Formation

Bachelor's degree in Computer Science or related field

Outils

TensorFlow

PyTorch

scikit-learn

SQL

Python

Description du poste

Horizon National Corp. seeks a Machine Learning Engineer in Denver, CO, for a FULL_TIME position. The role involves developing and implementing machine learning models to solve complex business problems. The salary is negotiable, and the position is open until 2026-11-23.

The Machine Learning Engineer will design, develop, and deploy machine learning models, conduct data analysis, and optimize model performance. Tasks include feature engineering, model training, and evaluation, as well as integrating models into existing systems.

The Machine Learning Engineer will collaborate with a team of data scientists, software engineers, and business analysts to develop and implement machine learning models. This role involves working closely with data scientists to understand and preprocess data, and with software engineers to integrate machine learning models into existing systems. The Machine Learning Engineer will also work with business analysts to understand business requirements and translate them into machine learning solutions. The workplace is in Denver, CO, with a focus on innovation and continuous learning. This includes attending workshops, conferences, and online courses to stay updated with the latest trends and technologies in machine learning. The team values a collaborative environment where ideas are shared and discussed openly, fostering a culture of continuous improvement and learning.

The salary is negotiable, and the benefits package includes comprehensive health insurance, a retirement plan with employer matching contributions, and opportunities for professional development, such as workshops, training programs, and access to industry conferences. The position offers a competitive compensation package tailored to the candidate's experience, ensuring that they are rewarded for their skills and contributions. Additionally, the role provides a supportive work environment, flexible work arrangements, and the chance to work on diverse projects that align with the company's mission and values.

Candidates must have a degree in Computer Science, Statistics, or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch is required. Proficiency in Python and SQL is essential, along with knowledge of data visualization tools.

Responsibilities

• Develop and implement machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Conduct data analysis and preprocessing to prepare data for model training.
• Monitor model performance, identify areas for improvement, and implement enhancements.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document and communicate findings, insights, and recommendations to stakeholders.
• Work with large datasets and develop scalable machine learning solutions.
• Participate in code reviews and contribute to the development of best practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 2+ years of experience in machine learning and AI.
• Proficiency in Python and familiarity with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Understanding of statistical concepts and machine learning algorithms.
• Experience with cloud platforms such as AWS or GCP is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.