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Remote Google Android Developer Jobs in Toronto, ON

Generac

Senior Software Engineer

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Google Cloud Platform (Cloud Tasks, PubSub, CloudSQL, etc.) * Docker / Kubernetes * Terraform

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Remote Google Android Developer information

What does a remote Google Android developer do?

A Remote Google Android Developer designs, builds, tests, and maintains applications for devices running the Android operating system. They primarily use programming languages such as Java or Kotlin, and collaborate with teams to develop user-friendly, high-performance mobile apps. Working remotely, they communicate via digital tools and manage their tasks independently while adhering to project requirements and deadlines. Their responsibilities also include debugging, optimizing app performance, and ensuring security and compatibility across a range of Android devices.

What are the key skills and qualifications needed to thrive as a remote Google Android developer?

To thrive as a Remote Google Android Developer, you need strong proficiency in Java or Kotlin, a solid understanding of Android SDK, and experience with mobile app architecture, typically backed by a relevant degree or portfolio. Familiarity with development tools such as Android Studio, Git, Firebase, and knowledge of publishing on Google Play is essential. Effective communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These skills ensure high-quality, robust Android applications and successful teamwork in a remote environment.

How does a remote Google Android developer typically collaborate with team members across different time zones?

As a Remote Google Android Developer, you will often work with cross-functional teams distributed across various locations. Collaboration is facilitated through regular video meetings, project management tools, and asynchronous communication platforms like Slack or Jira. It's important to proactively communicate progress, ask clarifying questions, and document your work clearly to ensure everyone stays aligned. Flexibility with meeting times and strong self-management skills are key to thriving in this environment.
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Remote Google Android Developer jobs near you

Lead Data Scientist- IBM Watson

Fusemachines

Toronto, ON • Remote

Contractor

Re-posted 6 days ago

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, Remote

About the Role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilities
  • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
  • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 Requirements for the Role
  • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI.
  • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments.
  • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
  • Agentic AI Tools: Experience with LangGraph, Google ADK or similar.
  • Agentic Architectures : Experience with advanced RAG & multi-agent systems.
  • Programming: Strong programming skills in languages such as Python, R, C++, and SQL.
  • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow.
  • Leadership: Experience leading data science teams and managing multiple projects simultaneously.
Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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