Manager, Machine Learning Engineering
Atlanta / New York
Divisions – Enterprise Engineering /
Full-Time /
Hybrid
Summary
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.
How will you contribute?
- 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 Smarsh 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 OneSmarsh
- 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.
Technical Requirements
- 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
What do we offer?
- Healthcare insurance
- 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
- A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements
- 401K Match
- Smarsh provides a 4% 401K match for which employees are fully vested on day one.
- Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service.
- Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition
$180,000 - $210,000 a year
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty, and training. Local cost of living assessments are done for each new hire at the time of offer.
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified and interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. including the frequency of functions.
