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Lead Machine Learning Engineer

Lead Machine Learning Engineer

2 Months ago • 8 Years + • Artificial Intelligence • Undisclosed

About the job

15 skills required for this role

Add these skills to join the top 1% applicants for this job

scalability

cross-functional

java

tensorflow

jira

algorithms

ci-cd

kotlin

bamboo

helm

kubernetes

microservices

amazon-web-services

grafana

python

Job Description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

About the Team

The Machine Learning Engineering function is responsible for ensuring Smarsh can run state-of-the-art enterprise-grade machine learning at scale in a cost-effective manner. The Machine Learning Engineering Group develops and maintains the ML infrastructure, tooling, and analytic services to power intelligent applications. As a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence that will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio. You will be part of a cross-functional agile team of talented ML engineers collaborating closely with product managers, data scientists and other stakeholders to deliver high quality, secure and resilient SaaS products.

Roles and Responsibilities

Collaborate with cross-functional teams to design complex solutions and integrate multiple software products to solve high-level challenges.
Act as a subject matter expert in machine learning, fintech, and Regtech domains, providing technical leadership, insights, and guidance to internal teams and external stakeholders.
Can weigh the pros and cons of various solutions and propose the best path.
Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment with careful attention to quality, scalability, and maintainability.
Can break down complex technical solutions into simple abstractions.
Influence Principal Engineers/Product Managers on product designs.
Can investigate and solve complex bugs, performance, security and scalability issues.
Actively participate in troubleshooting and fixing Production Issues following the incident management process.
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 and receive feedback for continuous improvement.
Influence, Establish and Sustain Best Practices.
Mentor and coach team members.
Actively participate in team agile ceremonies and provide valuable inputs.
Other duties as assigned.

Education & Technical Requirement

Minimum 8+ years industry experience.
BS in CS/Masters in CS
Or equivalent combination of education and experience.
Proficiency with JVM language (Java/Kotlin) and experience in Python
Experience in NLP(including LLMs, MLMs), 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 for Fintech/Regtech domain
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

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

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