Lead AI Ops Engineer

Data Plano, Texas


Description

Position at Apexon

About Apexon:

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. 

We enable #HumanFirstDIGITAL

Job Summary: The Lead AI Ops role is responsible for leading the design and implementation of productionized Artificial Intelligence (AI) solutions to solve business problems. You will work closely with our data science teams and other stakeholders to enable the integration of AI/ML models into business processes.  These solutions will be scalable, resilient, and secure.

This role will maintain CI/CD pipelines, productionize models (ML/DL/LLM), and develop integration code needed to deploy AI solutions.

Essential Job Functions with %

  • AI Solution Development (35%) Lead the design and implementation of productionized models (ML/DL/LLM) solutions that are scalable, resilient, and secure. Evaluate and optimize the data science methodology needs while meeting the non-functional requirements of the business process.
  • Research and Development (25%) Keep up to date with the latest technology trends. Research new ways for applying AI solutions in our business.
  • Model Monitoring and Maintenance (20%) Monitor and maintain the performance of deployed models. Monitor production performance and provide recommendations for maximizing ML/LLM configurations and performance.  Assist tool/platform admins with health and maintenance of the ecosystem.
  • Deployment Pipeline Management (10%): Develop and maintain release pipelines for data science teams that support Continuous Integration (CI), Continuous Deployment (CD). Automate build and deployment procedures to streamline delivery. Schedule and validate all production deployments. Partner with Release Management, Infrastructure, DevOps, etc. to ensure a smooth and successful deployment.
  • Team Leadership and Collaboration (10%) Lead and mentor team of AI Ops developers. Promote AI/ML Ops practices within the Data Science community. Collaborate with different teams to implement models and monitor outcomes. Drive cross-functional projects. Provide updates to stakeholders on status of deployments and any risks & issues. 
Skills:
  • Problem Solving
  • Agile / Product oriented development
  • Data science / statistical modeling techniques
  • AI Ops / ML Ops / ML Engineering
  • Designing scalable Model as a Service solutions
  • Research into new technologies, tools, techniques
  • Can work on multiple concurrent initiatives
  • Team leadership, mentorship, coaching
Knowledge and Abilities:
  • Python, SQL, R, Scala
  • Predictive modeling, machine learning, data engineering, data operations
  • ML engineering frameworks, including ML Flow, Airflow, Langchain, Langfuse, LLM Guard, etc.
  • Cloud based tools, including Kubernetes, Docker, AWS, Azure, APIMs
  • Understanding of Machine Learning techniques and algorithms
  • Deploying API endpoints
  • Troubleshooting and diagnosing production deployments of AI solutions
Preferred Qualifications:
  • Bachelor’s degree in Statistics, Mathematics, Engineering, Data Science, Computer Science.
  • 10+ years of professional experience in   AI Ops, ML engineering, data science, data engineering, DevOps, analytics, or related fields

Our Commitment to Diversity & Inclusion:

Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

Our Perks and Benefits:

Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:

o    Health Insurance with Dental & Vision

o    401K Plan

o    Life Insurance, STD & LTD

o    Paid Vacations & Holidays

o    Paid Parental Leave

o    FSA Dependent & Limited Purpose care