Director Of Mlops Platform Engineering

Software Guidance & Assistance, Inc., (SGA), is searching for a Director of MLOps Platform Engineering for a FULL TIME assignment with one of our premier Financial Services clients in Midtown Manhattan .
Hybrid schedule 3x weekly onsite
Responsibilities :

• Manage and mentor a team of MLOps platform engineers in building out a greenfield MLOps platform
• Function as a platform expert and help contribute to design and implementation decisions.
• Manage and enforce Git standards.
• Support all users in implementing efficient, secure and scalable CI/CD pipelines.
• Implement architectural patterns for on-prem and cloud data/ML pipelines and solutions.
• Build strong relationships and partner with technology (IT) stakeholders to address integration challenges and dependencies.
• Work independently with minimal supervision and be part of a collaborative team.
• Establish mechanisms for platform, application and model support, to respond in a timely manner to issues and anomalies.
• Work with Project Managers and Scrum Master's to create stories and provide milestones.
• Effectively articulate information and ideas to a diverse group of people
• Stay up to date with the latest MLOps trends/emerging technologies and look for opportunities to improve the stack.

Required Skills :

• 7+ years of industry experience with at least 3-years as a technical hands-on Manager
• In-depth knowledge of MLOps principles, practices and methodologies
• Proven experience in overseeing and optimizing MLOps platforms, including architecture design and infrastructure management.
• Ability to lead and guide a team, make strategic decisions, and ensure the successful execution of MLOps initiatives.
• Proficiency in cloud platforms such as AWS with a focus on managing scalable infrastructure..
• Solid understanding of CI/CD and DevSecOps best practices
• Experience working with data teams and automating ML and other data-intensive applications development workflows.
• Hands on coding in Terraform, Helm, Bash, etc. to automate the provisioning and management of infrastructure
• Excellent command of Git (branching strategies, security, Jenkins integration, PR process, etc.)
• Expert level experience with containers (Docker) and container orchestration (Kubernetes)
• Understanding of real-time and batch inference
• Have an agile mindset.
• Strong verbal and written communication skills to effectively convey technical information and collaborate with team members.
• A commitment to staying updated on emerging technologies, trends, and best practices in MLOps and related fields.
• Graduate-level degree in computer science, engineering, or relevant work experience

Preferred Skills :

• Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc.)
• Experience working with big data cloud platforms (Redshift, Snowflake, etc.)
• Architecture, design patterns, production scaling/optimization
• Insurance industry experience

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.