Machine Learning Engineer - Helix

Overview

What We Do

CNXN Helix Center at Connection Inc., is at the forefront of AI innovation, offering cutting-edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at www.connection.com/helix

Who We Are

Our team is made stronger by a multitude of backgrounds, experiences, and perspectives. It’s what makes Connection unique—what drives us to innovate and create technology solutions that stand apart from the crowd. We’d love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others.

Why You Should Join Us

You’ll find supportive teammates and a rewarding career at Connection—plus great benefits. We take pride in supporting employees with a total rewards package that provides financial, emotional, and physical resources for you and your family. Our compensation, 401k plans, medical insurance, and other benefits are progressive and competitive. We value the importance of our employees’ emotional wellbeing. To support employees, we provide free therapy visits, mental health coaching and tools, and meditation resources. You’ll also enjoy a generous paid time off package that includes not only vacation and sick time, but also Wellness and Volunteer Time Off days.

Position Overview

Reporting to the VP of Core Engineering, relying on experience and judgement to plan and accomplish goals, the Machine Learning Engineer at CNXN Helix, is responsible for designing, developing, and deploying cutting-edge AI solutions that deliver measurable impact across diverse real-world use cases. The Machine Learning Engineer collaborates with cross-functional teams to design, implement, and optimize machine learning models into production environments, continuously monitoring and optimizing model performance and accuracy. Working closely with data scientists, software engineers, and product managers, the Machine Learning Engineer works to align project goals and ensure seamless integration of AI solutions. The Engineer role involves researching and implementing new algorithms and techniques to improve existing solutions, maintaining comprehensive documentation of models, experiments, and processes. Additionally, the Machine Learning Engineer provides guidance to junior team members and fosters a culture of continuous learning and innovation.

This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH, or Boston or New York metropolitan areas

Responsibilities

• Develops Models. Designs, implements, and trains machine learning models for various applications.
• Manages Data Pipeline. Develops and maintains scalable data pipelines to support model training and inference.
• Collaborates with Machine Learning Operations Engineers to deploy models into production environments.
• Optimizes performance. Continuously monitors and optimizes model performance and accuracy.
• Collaborates closely with data scientists, software engineers, and product managers to align on project goals.
• Innovates, researches and implements new algorithms and techniques to improve existing solutions.
• Maintains comprehensive documentation of models, experiments, and processes.
• Provides mentorship and guidance to junior team members and contributes to a culture of learning
  
  
  

Min

USD $117,692.00/Yr.

Max

USD $153,000.00/Yr.

Qualifications

• Bachelor's degree required; Master's or PhD preferred with at least 6 years related experience
• Programming Languages: Proficient in Python and experience with libraries like TensorFlow, PyTorch.
• Machine Learning Expertise: Strong understanding of ML algorithms, model architectures, and training techniques.
• Data Handling: Experience with SQL and NoSQL databases.
• Cloud Services: Familiarity with AWS, Azure, or GCP machine learning services.
• MLOps Tools: Experience with Docker, Kubernetes, and CI/CD pipelines.
• Big Data Technologies: Knowledge of Hadoop, Spark, or similar frameworks is a plus.
• Analytical Thinking: Strong problem-solving abilities and attention to detail.
• Communication: Excellent verbal and written communication skills.
• Team Player: Ability to work collaboratively in a multidisciplinary team.
• Adaptability: Eagerness to learn new technologies and adapt to changing project requirements.
• Real world Generative and Predictive foundational experience preferred.
• Knowledge in identity, security, access management, workflow and/or developer-facing products preferred.
• Direct experience working with cross-organizational teams.
• Experience in AI technology policy, compliance, trust and safety policy a plus.
• NLP and Computer Vision Experience a plus.ptability: Eagerness to learn new technologies and adapt to changing project requirements.