Machine Learning Engineer

Horizon Ridge Solutions; Baltimore (MD); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Horizon Ridge Solutions is seeking a Machine Learning Engineer in Baltimore, MD for a full-time role focused on financial services applications. You will design, build, and deploy models, collaborating with data scientists, software engineers, and product managers to deliver robust ML solutions.

You’ll analyze data, optimize algorithms, and stay current with ML advancements, contributing to a dynamic team culture and professional development opportunities in a supportive environment.

Qualifications

• Masters in CS, DS, or related field (or equivalent experience).
• Proficiency in Python or R with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience in data preprocessing, feature engineering, and model evaluation.
• Understanding of statistical concepts and their application to ML.
• Experience with cloud platforms such as AWS or Google Cloud.
• Strong problem-solving skills and ability to work independently and in a team.

Responsibilities

• Design, develop, and deploy machine learning models to solve complex financial problems.
• Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into existing systems.
• Conduct extensive data analysis to identify patterns and trends that inform predictive models.
• Optimize machine learning algorithms for performance, scalability, and accuracy.
• Stay up-to-date with the latest advancements in ML/AI and apply to projects.
• Document work and share findings with the team to ensure knowledge sharing and continuous improvement.

Skills

Data preprocessing

Feature engineering

Model evaluation

Statistical concepts

Problem solving

Teamwork

Education

Master's degree in Computer Science, Data Science, or related field

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

AWS

Google Cloud

Job description

Horizon Ridge Solutions seeks a Machine Learning Engineer in Baltimore, MD, for a full-time position. You'll contribute to innovative financial services projects, using cutting-edge technology to revolutionize banking.

Daily tasks include designing and implementing machine learning models, optimizing algorithms, and ensuring model performance. You'll collaborate with cross-functional teams to integrate solutions into existing systems.

Join our team in a dynamic workplace in Baltimore, MD, where you'll collaborate closely with data scientists, software engineers, and financial experts. This interdisciplinary environment fosters innovation and allows you to contribute your unique skills to deliver impactful solutions. Whether you're analyzing complex datasets, developing cutting-edge software, or providing financial insights, your work will have a tangible impact on our clients and stakeholders. You'll have the opportunity to grow professionally, learn from industry leaders, and be part of a supportive and inclusive community. Our team is committed to creating a positive and engaging workplace culture, where everyone's contributions are valued and respected. By joining us, you'll not only advance your career but also make a meaningful difference in the world of finance and technology.

The salary for this position is negotiable, allowing for a discussion between the candidate and the employer to reach a mutually beneficial agreement. In addition to the base salary, the company offers comprehensive benefits, including health insurance that covers a range of medical services and prescriptions, as well as retirement plans designed to help employees save for their future. Furthermore, the organization provides opportunities for professional development, such as workshops, training programs, and access to online courses, to help employees enhance their skills and advance their careers.

• Design, develop, and deploy machine learning models to solve complex financial problems.
• Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems.
• Conduct extensive data analysis to identify patterns and trends that can inform the development of predictive models.
• Optimize machine learning algorithms for performance, scalability, and accuracy.
• Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to our projects.
• Document your work and share your findings with the team to ensure knowledge sharing and continuous improvement.
• A's Master's degree in Computer Science, Data Science, or a related field, or equivalent experience.
• Proficiency in Python, R, or a similar programming language, with experience in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Understanding of statistical concepts and their application in machine learning.
• Experience with cloud platforms such as AWS or Google Cloud.
• Strong problem-solving skills and the ability to work independently and as part of a team.