AI Jobs

Benefits:

• Remote work options

• Flexible working hours

• Support for work environment setup expenses

• Support for office space usage fees

• Support for self-development expenses (seminars, workshops, books, software)

Benefits:

• Stock options

• study fund

• monthly lunch stipends

• Hybrid Work Model

• courses, conferences, and mentorship opportunities to grow your career

Experience Requirements:

• 5+ years in data engineering, with at least 2 years in a leadership role

Other Requirements:

• Proven experience in developing data pipelines and processes using Python, Spark, and Airflow

• Strong skills in relational databases (Snowflake is a plus)

• Familiarity with big data technologies and cloud platforms (AWS, Azure, GCP)

• Experience with Apache Kafka or similar event processing/queue architectures is an advantage

• Proven ability to mentor and lead data engineering teams

• Proficient in English with strong verbal and written communication skills

Responsibilities:

• Lead and mentor a team of data engineers, fostering a collaborative and innovative environment

• Design, develop, and maintain robust ETL pipelines using Airflow, Spark, and Snowflake

• Contribute to early decision-making, architecture, design, and technological research

• Implement integrations with third-party providers and internal services

• Design and develop the new cloud-based platform using cutting-edge technologies such as AWS, Spark, Airflow, Snowflake, and microservices

Benefits:

• Stock options

• study fund

• monthly lunch stipends

• Hybrid Work Model

• courses, conferences, and mentorship opportunities to grow your career

Experience Requirements:

• 3+ years as a team leader in a SaaS company

• 7+ years in backend development

• 4+ years hands-on experience with Node.js

• 2+ years hands-on experience with React.js

• Experience with containerization & microservices (Docker, Kubernetes) in production

Other Requirements:

• Self-driven, motivated, and able to work independently while being communicative and collaborative

• Strong English proficiency (verbal & written)

• Ability to mentor junior developers and provide technical leadership

• Proven ability to architect and develop scalable, reliable, and maintainable software systems

• Strong understanding of software design principles and patterns

Responsibilities:

• Lead and mentor a team of full-stack engineers, driving collaboration and ownership

• Design and develop Scytale’s cloud platform using Node.js, React, AWS, microservices, and CI/CD

• Contribute to architecture, design, and technological research for scalability and robustness

• Own implementation of core logic, frontend, infrastructure, tests, and automation

• Work with teams, customers, and stakeholders to execute the product roadmap

Benefits:

• Competitive Salary 💸

• Work Remotely 🌎

• Health insurance 🏥

• Unlimited Paid Time Off ⏰

• Support for continual learning (free books and online courses) 📚

Other Requirements:

• Having prior experience in data science or machine learning is a must for this role

Responsibilities:

• Creating engaging and no-fluff technical content for an audience of developers

• Building and maintaining hands-on sample AI/ML projects for guides, case studies, proposals, or any other requirement

• Researching the newest trends in the world of MLOps and being abreast with all the latest developments

• Assisting in developing product-specific thought leadership articles and social content

• Communicating frequently with the product team to understand the latest product features and bringing them to the forefront through various marketing assets

Benefits:

• Competitive Salary 💸

• Work Remotely 🌎

• Health insurance 🏥

• Unlimited Time Off ⏰

• Support for continual learning (free books and online courses) 📚

Experience Requirements:

• Strong programming skills in Python.

• Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)

• Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)

• Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn

Responsibilities:

• Work on large-scale machine learning challenges that impact millions of people around the globe

• Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time

• Implementing fast, scalable solutions with optimal performance day in and out

• Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle

• Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science

Benefits:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Medical insurance

• Unlimited vacation time for exempt employees

• Competitive salary & stock options

• Commuter benefits

Experience Requirements:

• Experience managing high performing and diverse software engineering teams

• Familiarity with full stack development, especially with Typescript and React

• Ability to work in a fast pace and navigate ambiguous situations at a startup

• Previous experience working as a frontend or full stack engineer and technical leader

• Strategic instincts and the ability to do the best thing for the company overall

Responsibilities:

• Manage, lead, and mentor engineers on the product engineering team

• Work closely with Engineering, GTM, Design and PM leadership to plan product strategy and build novel products

• Drive execution of software development, fostering a culture of innovation and collaboration

• Provide hands-on technical leadership to ensure a cohesive product experience and the right technical abstractions

• Work with enterprise customers to understand their needs and execute quickly

Benefits:

• Comprehensive health package (dental and vision)

• 5 Ocrolus Appreciation Days (reset days)

• 401K plan (Betterment)

• Unlimited paid time off

• Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership

Benefits:

• Comprehensive health package (dental and vision)

• 5 Ocrolus Appreciation Days (reset days)

• 401K plan (Betterment)

• Unlimited paid time off

• Flexible schedule & Summer Fridays off Paid parental leave (up to 3 months) Catered lunch and dinners Annual learning & development stipend Equity packages CitiBike membership

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs