96 applicants

Company

Original Job Post

Smarsh · 2 days ago

Lead Machine Learning Engineer

New York, United States

Full-time

Hybrid

Senior Level

$150K/yr - $170K/yr

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaKotlinPythonNLPML-OpsData pipelinesTensorFlowPyTorchScikit-learnML AlgorithmsStatistical techniquesData analysisData processingFeature engineeringModel evaluationCloud platformsAmazon Web ServicesGoogle CloudAmazon SagemakerJupyter NotebooksModel ServersTriton Inference serverAI/ML Analytics productsFintechRegtechMicroservicesEvent-driven architectureML applicationsCloud scalabilityKafka

Required

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 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

Expert programming skills in relevant languages

Strong analytical, design, problem-solving skills and customer focus

Strong communication and collaboration skills

Good organizational skills

Deep understanding and experience in software architecture/software engineering

Strong understanding and experience in continuous software delivery

Strong understanding of ML business and technology domain

Benefits

Healthcare insurance

Company

Smarsh

Glassdoor

3.1

Smarsh manage the risk and see the value in their communications data.

Founded in 2001

Portland, Oregon, USA

1,001-5,000 employees

http://www.smarsh.com

H1B Sponsorship

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Trends of Total Sponsorships

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2020 (1)