Manager, Machine Learning Engineering in Atlanta, Georgia - #66114 | VanderHouwen

Description

Job Id: 66114

Manager, Machine Learning Engineering
Cognition Analytics team is a part of the Cognition Product development team, building Analytic services using the models built by Data Science & Research teams. As an MLE Manager, you will be responsible for both technical leadership and people management, with a focus on driving the development, deployment and support of advanced analytics that deliver communications intelligence driving actionable insights as part of our FinTech and RegTech Product portfolio. You will work closely with cross-functional teams to understand business objectives collaborating with product managers, data scientists and other stakeholders to innovate and deliver high quality, secure and resilient cloud based SaaS Analytic solutions.

This is a hybrid position, 3 days/week in the office (M, W, T).

Manager, Machine Learning Engineering
Technical Leadership:
Collaborate with data scientists, software engineers and other stakeholders to design dynamically scalable and efficient Analytic services leveraging in-house and third-party models.
Lead by example by actively contributing to design, development, and support of Analytic services in production environments following standard Engineering methodology and processes.
Provide Technical guidance and mentorship to team members fostering culture of learning and innovation.
Communicate updates and risks proactively on the progress of team’s commitments to key stakeholders and aligning with overall business objectives.
Championing Quality of Product and Service adopting standards, methods, metrics, and processes ensuring continuous assessment, learning and improvement
Product mindset while being aware and addressing customer challenges and business needs.

People Management:
Manage a team of ML engineers including hiring, mentoring and performance management.
Manage multiple teams across geographic regions.
Set clear goals and expectations for the team and provide regular feedback and support to help team members achieve objectives.
Identify opportunities for professional development and growth for team members and support their career advancement within the organization.
Foster cross collaboration, promoting knowledge sharing aligning to the company.
Collaborate with peer engineering leaders influencing outcomes with-in and outside team.
Can weigh the pros and cons of various solutions and propose the best path.
Recognize issue patterns and implement proactive measures to address the root causes.
Manage task lifecycle using tools like JIRA.
Participate in internal & external code reviews, provide feedback for continuous improvement.
Influence, Establish and Sustain Best Practices.
Actively participate in team agile ceremonies and provide valuable inputs.
Other duties as assigned.

Manager, Machine Learning Engineering Qualifications
Good experience and Proficiency with JVM language (Java/Kotlin) and experience in Python.
Experience in NLP, ML-Ops and data pipelines.
Experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn.
Strong understanding of ML Algorithms, Statistical techniques, and data analysis methodologies.
Experience with Data processing, feature engineering and model evaluation techniques.
Experience in cloud platforms like Amazon Web Services & Google Cloud.
Experience with Amazon Sagemaker and Jupyter Notebooks.
Experience with Model Servers such as Triton Inference server.
Experience working in AI/ML based Analytics products.
Experience in microservices & event-driven architecture.
Exposure and experience in building ML applications/services with cloud scalability.
Experience in Kafka and RDBMS such as MySQL & Postgres.
Proficient in containerized platforms like Docker, Helm & Kubernetes.
Experience in CI/CD tools like Bamboo, ArgoCD.
Experience in Prometheus & Grafana.
Proficient in API design.
Proficient in working with distributed systems.

Salary: $180K-$210K (DOE)

Benefits
We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
Personal time off.
401K Match.

About VanderHouwen 
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.

VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.

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