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Machine Learning Engineer

United StatesHybridFull TimePosted 2 months agoVisa sponsorship available

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Role summary

Discover International is seeking a Staff Machine Learning Engineer for a fast-growing AI company in the healthcare sector. This role involves leading the design, deployment, and optimization of large-scale ML systems impacting patient care and medical research. The engineer will collaborate with cross-functional teams to develop scalable, reliable, and efficient ML solutions. Qualifications include a strong ML engineering background, production deployment experience, expertise in Python, cloud platforms (AWS, GCP, Azure), and DevOps tools (Kubernetes, Terraform, Docker). Responsibilities encompass system architecture, data pipeline development, API creation, and mentoring junior engineers. The company offers a hybrid work environment and a mission-driven focus on AI-powered healthcare.

About The Company
Discover International is a leading global recruitment agency dedicated to connecting talented professionals with innovative organizations across various industries. With a proven track record of excellence, Discover International specializes in sourcing top-tier talent for technology, healthcare, finance, and engineering sectors. The company's commitment to quality service and personalized approach ensures that both clients and candidates achieve their strategic goals. By leveraging extensive industry knowledge and a vast network of professionals worldwide, Discover International strives to facilitate successful placements that drive growth and innovation for its partners.
About The Role
We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join a fast-growing AI company revolutionizing healthcare. In this pivotal role, you will lead the design, deployment, and optimization of large-scale machine learning systems that have tangible impacts on patient care and medical research. As a key member of the engineering team, you will collaborate closely with data scientists, product managers, and software engineers to develop scalable, reliable, and efficient ML solutions. This role offers a unique opportunity to shape the future of applied AI in healthcare, working on cutting-edge projects that address real-world challenges. The ideal candidate will possess a strong technical background, leadership qualities, and a passion for innovation in AI-driven healthcare solutions.
Qualifications
The ideal candidate will have a robust background in machine learning engineering with proven experience in deploying models in production environments. A deep understanding of ML concepts, particularly in computer vision or large language models, is essential. Candidates should have extensive programming experience in Python, Go, C++, or Java, along with familiarity with distributed training, data pipelines, and real-time inference systems. Proficiency with cloud platforms such as AWS, GCP, or Azure, and DevOps tools like Kubernetes, Terraform, and Docker is required. A strong problem-solving mindset, excellent communication skills, and the ability to mentor junior team members are highly valued. A bachelor's degree in Computer Science, Engineering, or a related field is typically expected, with advanced degrees preferred.
Responsibilities
In this role, your primary responsibilities will include collaborating with cross-functional teams to design and implement scalable machine learning solutions that meet business needs. You will architect and develop robust systems capable of supporting high-volume batch and real-time inference workloads. Mentoring and guiding other engineers will be a key aspect of your role, setting standards and best practices for ML engineering within the organization. You will develop APIs, feature stores, and automation tools to streamline ML experimentation and deployment processes. Building and maintaining data pipelines for ingestion, training, evaluation, and model serving will be essential. Additionally, you will implement monitoring, observability, and reliability frameworks to ensure production systems operate efficiently and reliably. Optimizing ML system performance by balancing latency, scalability, and cost-efficiency will be a continuous focus, enabling the delivery of high-quality AI solutions for healthcare applications.
Benefits
Discover International offers a competitive compensation package, including salary and equity options, to attract top talent. The company promotes a flexible and hybrid work environment, allowing employees to work from major U.S. tech hubs or remotely, depending on preferences. Employees benefit from a high-growth, collaborative culture where ownership, innovation, and initiative are highly valued. The organization is mission-driven, focusing on shaping the future of AI-powered healthcare, providing meaningful work that makes a difference in people's lives. Additional benefits include health insurance, professional development opportunities, and a supportive work environment that encourages continuous learning and career advancement.
Equal Opportunity
Discover International is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diversity enriches our organization and enhances our ability to serve clients and candidates effectively. All qualified applicants will receive consideration for employment without regard to any protected status. We are dedicated to creating a welcoming environment where all employees can thrive and contribute to our shared success.

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