What are the responsibilities and job description for the AI / ML Engineer, VP position at Hatch Global Search?
Job Description
AI / ML Engineer, VP
New York, NY, United States
Qualifications
4 year experience shipping code to production environments
Strong programming language skills in Python and SQL
Experience building cloud native applications
Great problem-solving and communication skills
Knowledge and experience we are looking for includes :
DevOps automation, idempotent deployment testing, and continuous delivery pipelines
Networking and security protocols, load balancers, API Gateways
ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte)
Accelerated compute libraries and hardware (e.g. pytorch, NVIDIA GPUs)
Data modeling, and strategies for cleaning and validating data at scale
Performance tuning on RDBMS or Big Data tools for row- and column-oriented use-cases
Telemetry and related tools (metrics, event logging, tracing, etc.)
Ability to traverse full stack
Benefits
For New York City only : The salary range for this position is $157,500 - $214,500
Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits
This company operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about
Responsibilities
Design and deliver secure and scalable solutions to enable the rapid delivery of machine learning products to production environments
Continuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other users
Write quality maintainable code that is comprehensively tested and fit for the intended objective
Provide ongoing maintenance and support for internal AI tools and services, including troubleshooting and resolution of production incidents
Advise data scientists and researchers on product architecture and system design, and collaborate on complex deliverables
Participate in team agile processes, and proactively contribute to team culture
Keep a pulse on the job market with advanced job matching technology.
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