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2 дня назад

Data Engineer II - MLOps Engineer (AI)

126Β 500 - 208Β 700$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Engineer II - MLOps Engineer (AI): Building and operationalizing production ML pipelines and data solutions in Databricks with an accent on MLflow tracking, observability, governance, and reliable deployment. Focus on developing Python and SQL workflows, APIs, reusable libraries, and Kubernetes-based workloads that make models traceable, operable, and scalable across teams.

Location: Hartford, Connecticut, United States

Annual base salary: $126,500–$208,700, plus eligibility for performance-based cash incentive awards.

Company

hirify.global is a property and casualty insurance company focused on serving customers and communities through innovation and collaboration.

What you will do

  • Build, operationalize, and support complex data and machine learning solutions.
  • Develop repeatable Databricks jobs and workflows, including MLflow tracking for model runs.
  • Instrument pipelines with observability events and build APIs and scripts for model inventory and governance.
  • Apply data transformations, cleansing, quality, security, and governance practices.
  • Collaborate with data scientists and engineers on traditional ML and GenAI workloads.
  • Test data movement, transformation code, and data components while resolving complex defects and incidents.

Requirements

  • Bachelor’s degree in computer science, a related STEM field, or equivalent education and experience.
  • At least four additional years of data engineering experience; the broader profile requests eight years of related experience.
  • Experience building, deploying, and supporting ML pipelines in modern MLOps environments.
  • Strong software engineering and DevOps practices, including CI/CD, monitoring, and reliability engineering.
  • Proficiency with Python, SQL, Databricks, cloud platforms, and modern software engineering practices.
  • Experience in financial services or another regulated industry, with strong communication, problem-solving, and team leadership skills.

Nice to have

  • Experience with EKS or other Kubernetes-based platforms for scalable data and ML workloads.
  • Experience with GenAI tools such as Claude and classic ML techniques including GBMs and linear models.

Culture & Benefits

  • Health insurance coverage is available to eligible employees and family members from the first day of employment.
  • Dollar-for-dollar 401(k) matching is provided on the first 5% of eligible pay, subject to an annual maximum.
  • Additional benefits include a pension plan and a student-loan support savings program.
  • At least 20 paid time-off days annually plus nine paid company holidays.
  • Wellness, caregiving, mental health, counseling, health coaching, volunteer, and charitable matching programs are available.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’