Machine Learning Engineer
Toronto, ON · Remote
Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow ...
Machine Learning Engineer
Toronto, ON · Remote
Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow ...
Remote Haskell information
What are some common challenges faced when working remotely as a Haskell developer, and how can they be overcome?
Remote Haskell developers often encounter challenges such as collaborating effectively with team members across time zones and ensuring clear communication about complex functional programming concepts. To overcome these, it's essential to make use of collaborative tools like version control systems, code review platforms, and regular video meetings. Additionally, documenting code thoroughly and participating in asynchronous discussions can help maintain alignment within the team. Being proactive in seeking feedback and clarifying requirements also contributes to smoother project workflows.
What is the difference between Remote Haskell vs Remote Scala Developer?
| Aspect | Remote Haskell | Remote Scala Developer |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science or related, familiarity with functional programming | Bachelor's in Computer Science or related, experience with JVM languages |
| Work Environment | Remote, often in tech startups or software firms | Remote, common in finance, big data, or enterprise sectors |
| Industry Usage | Software development, research, fintech | Big data, enterprise applications, finance |
| Search & Comparison Intent | Yes | Yes |
Remote Haskell and Remote Scala Developer roles share similarities in required education and remote work settings. Haskell focuses on functional programming for research and fintech, while Scala is popular in big data and enterprise sectors. Both roles attract developers seeking remote opportunities in software development, but they differ in language expertise and industry focus.
What is a Remote Haskell Developer?
A Remote Haskell Developer is a software engineer who specializes in programming using the Haskell language and works from a location outside the traditional office, often from home or anywhere with internet access. Haskell is a functional programming language known for its strong type system and emphasis on purity and immutability. Remote Haskell Developers collaborate with teams using online tools, contribute to codebases, and help build scalable, reliable software systems without being physically present at a company’s office.
What are the key skills and qualifications needed to thrive as a Remote Haskell Developer, and why are they important?
To thrive as a Remote Haskell Developer, you need strong proficiency in Haskell programming, functional programming concepts, and a solid background in computer science or related fields. Familiarity with tools like Stack or Cabal, version control systems (e.g., Git), and continuous integration platforms is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are essential soft skills for this role. These abilities ensure you can deliver high-quality, maintainable code while collaborating efficiently with distributed teams.
What are popular job titles related to Remote Haskell jobs in Ontario? For Remote Haskell jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Haskell jobs in Ontario look for? The top searched job categories for Remote Haskell jobs in Ontario are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 4 days ago
Job description
Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
- Design, implement, and deploy machine learning algorithms.
- Manage machine learning algorithm lifecycle.
- Coordinate data collection and annotation efforts.
- Work with real-time data and content coming from various data sources.
- Manage machine learning data pipelines.
- Design tests for machine learning algorithm effectiveness and performance monitoring.
- Design tools and interfaces for interactive machine learning and teaching.
- Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
- Graduate degree in Computer Science with a strong background in machine learning required.
- Strong problem-solving abilities, solid background in algorithms and data structures required.
- Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
- Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
- Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
- Experience with building and deploying API's with Docker and Kubernetes required.
- Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
- Experience with Elastic Search, Lucene a plus but not required.
- Experience with ranking algorithms a plus but not required.
- Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.