OneSix Logo

OneSix

Senior Machine Learning Scientist

Reposted 7 Days Ago
Remote or Hybrid
2 Locations
Senior level
Remote or Hybrid
2 Locations
Senior level
The Senior Machine Learning Consultant designs and develops machine learning solutions while mentoring team members and collaborating with clients. Responsibilities include conducting R&D on AI/ML models, optimizing model performance, and ensuring adherence to ethical AI practices.
The summary above was generated by AI

About OneSix 

OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. 

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

Job Description and Responsibilities:

The Senior Machine Learning Scientist at OneSix works collaboratively to design and develop machine-learning-based solutions for clients. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to iterate on solutions. While not a direct people manager, the Senior Machine Learning Scientist serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for bringing together state-of-the-art solutions to solve our clients' most pressing problems.

  • Conduct research and development on AI/ML models to solve complex technical challenges.
  • Design, train, and optimize machine learning models for performance, scalability, and efficiency.
  • Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models.
  • Work closely with engineers and scientists to integrate models into production environments.
  • Analyze and preprocess large datasets to improve model accuracy and robustness.
  • Stay updated with advancements in AI and ML and apply new findings to ongoing projects.
  • Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles.
  • Contribute to technical documentation and research publications when applicable.
  • Strong problem-solving skills and analytical thinking.
  • Ability to work independently and collaborate with cross-functional teams.
  • Effective communication skills for discussing technical concepts and findings.
  • Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration.
  • Help shape project scopes, drive technical discussions, and ensure alignment with business goals.
Experience / Qualifications
  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field (Optional). 
  • 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities.
Technical Skills:
  • Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface).
  • Advanced programming skills in Python; experience with R and/or C++ is a nice to have.
  • Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques.
  • Experience scoping and leading machine learning projects from scoping/design through deployment/monitoring.
  • Experience deploying ML models in production environments.
  • Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools.
Leadership & Soft Skills:
  • Strong mentorship abilities and a passion for helping others grow.
  • Ability to influence technical strategy without direct managerial authority.
  • Effective communication skills to present complex ML concepts to diverse audiences.
  • Problem-solving mindset and ability to work cross-functionally with different teams.
Compensation / Benefits
  • Competitive compensation
  • Company-paid medical, vision, dental, and wellness benefits for employees 
  • Company-provided home office equipment
  • Flexible vacation and sick days
  • Team-oriented and supportive working environment   
  • Company-sponsored events and swag

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Top Skills

AWS
Azure
C++
GCP
Huggingface
Python
PyTorch
R
Scikit-Learn

Similar Jobs

16 Days Ago
Remote
Canada
Expert/Leader
Expert/Leader
Robotics • Software • Appliances
Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.
Top Skills: AIC++Data ScienceHydraLidarMlMlflowMlopsPythonPyTorchPytorch LightningTensorFlowWandb
8 Hours Ago
Remote or Hybrid
8 Locations
Senior level
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves designing BI pipelines for regulatory reporting, collaborating with multiple teams, ensuring data integrity, and monitoring regulatory changes.
Top Skills: LookerModePythonSQLTableau
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design and deployment of scalable ML and data pipelines. Collaborate across teams, optimize infrastructure, and mentor engineers.
Top Skills: AWSDatabricksJavaPythonSparkSQL

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account