Remote Jobs

CAST AI logo

Senior Machine Learning Engineer

CAST AI

Location
Croatia
Posted
Salary Range
78k - 108k EUR

Design and deploy sophisticated data models at CAST AI, leveraging cloud-native technologies and contributing to machine learning operations. Collaborate with cross-functional teams and stay ahead of industry trends while enjoying benefits like flexible work hours and company equity.

JustAnswer logo

Senior Associate - Finance

JustAnswer

Location
India
Posted

Manage financial operations, including transactions, reconciliations, and compliance reporting for JustAnswer's India Office. Collaborate with departments to ensure seamless operations.

Rackspace logo

Senior Engagement Manager

Rackspace

Location
India
Posted

Lead complex projects, manage client expectations, and drive successful implementations for Rackspace Professional Services engagements. Utilize your expertise in cloud transformation and project management to deliver exceptional customer value.

Rackspace logo

Senior Engagement Manager

Rackspace

Location
Canada
Posted

Manage customer projects, develop project plans, and provide guidance on service utilization for Rackspace customers.

Binance logo

Senior Java Engineer - KYC Tech

Binance

Location
Taiwan, Republic of China
Posted

Senior Java Engineer for KYC Tech at Binance, building high-throughput distributed applications with expertise in Java, Spring Framework, MySQL, and NoSQL databases.

Dropbox logo

Senior Backend Product Software Engineer

Dropbox

Location
Poland
Posted
Salary Range
25k - 34k PLN

Develop and enhance Dropbox's product suite, collaborate with cross-functional teams, implement AI-driven features, mentor junior engineers, and ensure service operation while focusing on continuous learning and professional growth.

Wealthsimple logo

Senior Manager - Workflow Optimization

Wealthsimple

Location
British Virgin Islands
Posted
Salary Range
150k - 250k CAD

Lead Wealthsimple's workflow optimization initiatives, driving cross-functional collaboration and leveraging emerging technologies to enhance efficiency and customer satisfaction across CXO operations.

Twilio logo

Senior Salesforce Administrator

Twilio

Location
India
Posted

Join Twilio as a Senior Salesforce Administrator to enhance the Salesforce platform, drive process improvements, and lead cross-functional teams while mentoring junior administrators. This role offers remote work opportunities in India with comprehensive benefits.

CALSTART logo

Senior Salesforce Administrator

CALSTART

Location
United States of America
Posted
Salary Range
105k - 120k USD

Manage and enhance Salesforce CRM for CALSTART's operations, collaborate on projects, ensure compliance, and provide leadership in system improvements to support clean transportation initiatives.

Nethermind logo

Senior Fullstack Engineer – Great Generalist

Nethermind

Location
Anywhere in the world
Posted
Salary Range
120k - 180k USD

Join us as a Full Stack Engineer to build innovative solutions using modern technologies like React, Node.js, and blockchain protocols. Collaborate with top talent in a fun and dynamic environment while pushing the boundaries of software development.

LI.FI logo

Senior Backend Engineer (Cross-Chain Solver)

LI.FI

Location
Cameroon
Posted
Salary Range
120k - 170k USD

Senior Backend Engineer (Cross-Chain Solver) at LI.FI - Design high-performance cross-chain solvers, develop pricing algorithms, and collaborate with smart contract developers.

iHerb logo

Senior Marketing Manager

iHerb

Location
Japan
Posted

Digital Marketing Manager for iHerb Japan, responsible for driving brand awareness, retention, and growth through various marketing channels.

Willow logo

Senior Corporate Accountant

Willow

Location
Philippines
Posted

Corporate Accountant role at Willow Inc., supporting compliance and financial operations across multiple countries, with flexible working arrangements and opportunities for growth.

CAST AI logo

Senior Machine Learning Engineer

CAST AI

Salary Range

78k - 108k EUR / YEAR

Job Summary

CAST AI is seeking a Senior Machine Learning Engineer to design and deploy data models, optimize cloud-native technologies, and contribute to ML operations. The role involves developing ML pipelines, collaborating with teams, and staying updated on industry trends. Benefits include working with skilled professionals, impact, flexible hours, equity, and self-improvement time.

Skills

PythonPyTorchSQLPandasSciKit-Learn

Why CAST AI?

CAST AI is the leading Kubernetes cost optimization platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. What’s unique about CAST AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.

The company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has more than 120 employees globally and is headquartered in Miami, Florida.

However, this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent, motivated, and self-reliant people to help us fulfill this ambitious mission.


Core values that hold us all together:

PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience.

LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries.

DEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself, the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth, and mentor others to raise the collective bar.

EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction.


Role overview

We are looking for a Senior Machine Learning Engineer who will play a pivotal role in harnessing the power of data to drive operational excellence. You will design, develop and deploy sophisticated data models, leverage cloud-native technologies, and contribute to our DevOps and Machine Learning operations.

Responsibilities

  • Develop and maintain ML training, validation, and deployment pipelines
  • Utilize cloud-native technologies to optimize data workflows and ensure seamless integration with our existing platforms
  • Participate in cross-functional projects and collaborate with various teams to achieve company goals
  • Collaborate with data scientists to streamline model hand-off and production readiness.
  • Stay current with the latest industry trends and advancements in data science, cloud technologies, and DevOps practices
  • Ensure data compliance and security measures are upheld across all operations.

Requirements

  • Proven experience in applied Data Science/Machine Learning, with a strong portfolio of projects that demonstrate your expertise
  • Strong programming skills in Python (proven experience with pandas, sklearn, pytorch would be a great plus) and SQL
  • Proficiency in cloud-native technologies and understanding of cloud architecture (AWS, GCP, Azure, or similar)
  • Solid understanding of DevOps practices, with experience in CI/CD, infrastructure as code, containerization, and orchestration (Docker, Kubernetes, or similar)
  • Familiarity with ML pipeline tools and practices, including data collection, preprocessing, model training, deployment, and monitoring
  • Excellent problem-solving abilities and attention to detail
  • Strong communication skills and the ability to work effectively in a team-oriented setting.

Bonus points

  • Experience with MLOps tools like MLflow, Feast, Kubeflow
  • Experience with large-scale data processing tools like Spark, Ray, Apache Beam/Flink
  • Experience in training time-series and deep learning models.

What’s in it for you?

  • Team of highly skilled professionals to work with and learn from
  • Impact and visibility. Our organization is flat, getting in touch with CEO or CTO is a common practice here
  • Short feedback loop. We have an obsession with customer satisfaction. The ship features fast and gets instant feedback. Feature projects tend to be completed in 1 to 4 weeks, depending on the scope
  • Flexible working hours. We deliver instead of sitting in the office 8 to 5
  • Skin in the game. Every employee gets a share of the company
  • Time to focus on work with a minimum overhead of meetings, bureaucracy, etc.
  • 10% time to focus on self-improvement or personal projects.