Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$120к-130к/год
$170к$210кмедиана$230к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $4.5к/мес ($3.8к - $6к)
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У роли четкий senior-уровень, актуальный стек для работы с данными и ML, а также предусмотрены наставничество и обучение; главный минус - ограничение по локации США.
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Ниже рынкаАктуальный стекПонятные задачиПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Application Developer (Machine Learning): Building and managing data and inference pipelines, integrations, machine learning classification, and applications for clinical insights with an accent on cloud platforms, Databricks, and data engineering. Focus on designing machine learning inference solutions, implementing CI/CD and infrastructure as code, and collaborating with software, data, QA, and DevOps specialists in a Scrum team.
Location: Virtual Maine, United States
Salary: $120,000–$130,000 per year
Company
hirify.global develops technology and data solutions supporting veterinary care, clinical insights, safe drinking water, and livestock health, serving customers in more than 175 countries.
What you will do
Design, build, and manage data and inference pipelines, integrations, machine learning classification, and applications for clinical insights.
Deliver software and data engineering capabilities using core clinical data assets.
Participate in business planning, technical strategy, technology innovation, and improvements to team development practices.
Collaborate in a Scrum team with Architects, Developers, Data QA Engineers, DevOps, Product Owners, Scrum Masters, and data scientists.
Mentor and coach junior Development and QA team members while contributing to knowledge exchange.
Requirements
Senior-level software and data engineering experience with the ability to rapidly learn and adapt.
Proficiency with one or more major cloud providers, preferably AWS.
Proficiency with Databricks, Python, PySpark, and Spark.
Proficiency with AWS API Gateway, AWS Lambda, SQS, and S3.
Proficiency with GitHub and experience with GitHub Actions.
Proficiency in machine learning model-building techniques and model inference.
Proficiency with relational databases and SQL.
Experience building continuous integration and deployment systems and using infrastructure-as-code tools such as Terraform.
Experience with JIRA, Confluence, Slack, and Microsoft Teams.
Experience and willingness to work in Agile/Scrum teams, with strong communication, collaboration, and interpersonal skills.
Ability to mentor and coach more junior Development and QA team members.
Nice to have
Familiarity with Snowflake.
Familiarity with domain-driven design.
Culture & Benefits
Remote work in Maine with a close-knit, collaborative Scrum team.
Day-one health, dental, and vision benefits.
5% 401(k) matching and an annual cash bonus opportunity.
Financial support, pet insurance, mental health resources, paid volunteer days, employee stock program, and foundation donation matching.
Mentorship, coaching, professional learning, and knowledge-sharing opportunities.
Positive and respectful culture that supports learning, discovery, and purposeful work.
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