Note: The job is a remote job and is open to candidates in USA. Dice is hiring a Lead Machine Learning Engineer to design, develop, test, and operationalize machine learning and data solutions. The role provides technical leadership for MLOps practices, cloud-based tools, CI/CD pipelines, automated testing, monitoring, and cross-functional delivery of high-quality solutions.
Responsibilities
- Oversee the design, development, and deployment of machine learning models and other data solutions in alignment with business requirements and technical specifications defined
- Guide the training, validation, and optimize machine learning models and other data solutions to ensure high performance and accuracy. Implement techniques for model/solution improvement and fine-tuning
- Provide strategic direction in the writing of high-quality, maintainable, and scalable code
- Expert in Creating and maintaining technical documentation including model development processes, deployment workflows, operational procedures, code comments, design documents, and user manuals
- MLOps Implementation: Provide expert guidance through the development and implementation of CI/CD pipelines for seamless model deployment. Guide testing throughout the development, integration, deployment, and management of the software solution, and automating where possible to ensure solution quality and security in accordance with industry standards and company policies
- Foster cross functional collaboration with data scientists, business analysts, software engineers, IT operations, quality assurance testers, and project managers to to translate business requirements into successful technical solutions that are integrated into production environments
- Provide ongoing solution support including incident and problem management, root cause analysis, request fulfilment, security compliance, fault repair, resiliency testing, and observability
- Innovation and Research: Stay updated with the latest advancements in machine learning and MLOps practices. Explore and implement innovative solutions to enhance the company's machine learning capabilities
Skills
- Bachelor's Degree in Computer Science or Computer Engineering or in lieu of a degree, at least 9 years of experience in software development
- 6+ years of experience in AI, ML, MLOps, and/or software development
- Highly proficient knowledge of software development life cycle (SDLC) methodologies and practices, particularly MLOps and DevOps
- Highly proficient knowledge of software development tools, platforms and languages, particularly cloud platforms
- Proven experience in developing, integrating, testing and deploying software solutions for cloud-based or internet-related tools
- Expert of relational databases and SQL
- Excellent written and verbal communication skills
- Proven experience in developing Microservices and in-depth knowledge of various Integration patterns
- Must be legally authorized to work in the United States without company sponsorship
- Must be at least eighteen (18) years of age
- Certified Software Development Professional (CSDP) or equivalent certification
- Experience in GenAI
- Ability to productionize applications externally-facing
Benefits
- This is a remote position.
- Flexibility to enhance your health and well-being
- Opportunities to learn, develop new skills and grow your contribution
- An inclusive team and commitment to our own and broader communities
- Retirement benefits
- Health care benefits
- Total well-being benefits
Company Overview