Machine Learning Ops Engineer

Responsibilities

• Lead the design, delivery and validation of applications and pipelines to automate the curation of data, train and validate models, and deploy and govern machine learning solutions in a production environment
• Coordinate with data scientists and DevOps engineers to improve the coordination between the two teams within the enterprise ML environment
• Advise clients and implement solutions addressing performance, scalability, and the governance/traceability of machine learning models
• Build strong client, industry, and technical community relationships and represent Apex Systems as leaders in Industry and Professional events and communities
• Develop and maintain strong internal and external customer relationships
• Demonstrate strong technical knowledge and implementation skills
• Stay current on relevant technology trends and practices
• Build trust and respect among internal and external stakeholders and demonstrate collaborative teamwork
• Produce high quality deliverables, meet project deadlines, and take responsibility for engagement success
• Demonstrate a passion for quality and process improvement
• Demonstrate professional level consulting skills and communication/presentation skills
• Demonstrate adaptability and flexibility to acquire skills to meet business needs
• Continually innovate, seek creative solutions, and find new ways of adding value
• Listen and seek to understand the client and meet their needs, providing consultative guidance
• Stay attuned to the future needs of the client and work with internal resources to identify opportunities
• Proactively provide solutions and approach adversity with a solution-focused mindset
• Identify and evaluate new team members through professional networking and technical screening

Experience

• 7+ years of experience in application/software development
• 3-5 years combined experience delivering DevOps and Machine Learning solutions