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Machine Learning Scientist Jobs

Senior Product Manager, Automation & Machine Learning
By Ripple At Toronto, Ontario, Canada
8+ years of experience in product management, with 2+ years of experience with automation experience
Define product requirements and manage delivery of core workflows for automation and machine learning
Engage with stakeholders and actors utilizing current systems to gather requirements and drive adoption of future state products
Intake, prioritize and manage the backlog for multiple products and stakeholders
Manage working relationships across multiple liquidity engineering and product teams that rely on this platform to deliver for our customers
Lead the full cycle of product development and rollout — from requirements gathering and prioritization, to design and oversight of implementation
Machine Learning Developer Intern (September - 4 Months)
By IBM At Toronto, Ontario, Canada
Hands-on experience with fast prototyping using public libraries and APIs for Machine Learning or Deep Learning
Experience with Python, Pytorch, Tensorflow
Minimum of two work terms in a development role
Must be eligible to work 4 months starting in September 2023
Required Technical and Professional Expertise
Preferred Technical And Professional Expertise
Remote--Junior Support Data Scientist/Machine Learning--Full Time
By Visionary Innovative Technology Solutions LLC At Canada
This role is flexible in that you can work from home.
• Thorough troubleshooting, debugging, and problem-solving skills
• Strong C, C++ coding skills, along with Python, C# and Java
• Azure, AWS cloud development experience
Experience in one or more of these areas desirable
• Excellent C/C++ coding skills
Technology Specialist - Machine Learning
By Microsoft At Toronto, Ontario, Canada
6+ years of technical pre-sales or technical consulting experience
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience
Experience with Responsible AI, in practice or theory.
Certifications with Azure Data, Azure AI or equivalent industry certifications
Machine Learning Resident Jobs
By Apziva At Canada
2. Skills Review Survey: Complete a 20-minute assessment on Machine Learning and Python proficiency.
3. Initial Interview: Have a discussion with our Director of AI to discuss your goals and skills.
2. Mentorship: Collaborate closely with an industry expert mentor who will provide personalized 1-on-1 guidance and support.
1. Application: Explain why you are the ideal candidate for this opportunity.
Dev., Machine Learning Engineering Bts / Bst [Bell]
By CareerBeacon At Boucherville, Quebec, Canada
BA/BS degree in Computer Science or a related engineering field, or equivalent practical experience
3-5 years of experience with software development in Python/ self taught in Python
Experience with projects in NLP and comfortable with concepts such as sentence transformers, encoder-decoder models, etc.
Experience with developing, training and hyper tuning predictive models (pandas,numpy,Tensorflow,Pytorch)
Experience with version control such as Git
Researching and assessing new technology/methodologies
Data Scientist/ Machine Learning Engineer (Singapore-Based, Relocation Provided)
By Agoda At Toronto, Ontario, Canada
Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
2+ years hands-on data science experience
Good communication and interpersonal skills for working in a multicultural work environment
Experience in NLP, image processing and/or recommendation systems
Hands on experience in data engineering, working with big data framework like Spark/Hadoop
Experience in data science for e-commerce and/or OTA
Ai & Machine Learning Programmer
By Bit Space Development At Winnipeg, Manitoba, Canada
Experience working with Jupyter Notebooks
Experience with Git source control
Some level of formal education in computer science, data science, or related
Experience working with embedded Nvidia hardware
Experience working with cuda programming
Contribute and maintain our machine learning code-bases
Business Systems Analysis Specialist (Ai And Machine Learning)) [Td Bank]
By CareerBeacon At Toronto, Ontario, Canada
Participate in quality management reviews, including designs, prototypes and other requirements work products.
Experience with fraud and fraud rule system, fraud model development/testing, model risk management experience within large Financial Institution.
Plan + Elicit + Analyze + Document + Communicate +Manage system requirements;
Collaboratively work with Model Risk Management, Control Performance, Adaptive Strategy and Product Owners to resolve model performance issues and activities.
Knowledge of data science modeling techniques, metrologies (Experience with xgboost, optimization algorithms and fraud risk assessment).
Offer operational and process-related analysis and support.
Senior Data Scientist (Reinforcement Learning)
By Tiger Analytics At Toronto, Ontario, Canada
Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Hands-on experience building models is a must.
Experience with supply chain/retail forecasting is a must.
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions.
Intermediate Machine Learning Developer
By Weir Motion Metrics At Vancouver, British Columbia, Canada
Setup the development pipeline including data management and deployment through continuous integration scheme.
Design and implement proprietary machine learning algorithms and optimize them based on runtime system requirements and constraints.
3+ years of hands-on experience in developing and implementing and evaluating machine learning models algorithms.
Solid Experience with TensorFlow, PyTorch and OpenCV.
Strong analytical, communication and presentation skills.
Review the literature for the state-of-the-art computer vision and machine learning methodologies.
Machine Learning Scientist (Biology Or Chemistry Background Required)
By ProteinQure At Toronto, Ontario, Canada

field of biophysical computational methods. It is a interdisciplinary team with many opportunities for growth and impact. Responsibilities Nice to haves

Technical Account Manager - Ai And Machine Learning
By Hewlett Packard Enterprise At Mississauga, Ontario, Canada
Experience in identifying and driving deeper technical issues that require coordinating with Engineering and/or Product to resolve and manage escalations.
High velocity terabyte-scale data management and ingestion
Minimum 5 years of experience managing customers for a technical enterprise product.
Ability to understand customer requirements, business goals to shape product vision.
Knowledge of the Machine Learning / Deep Learning ecosystem, especially commonly used software infrastructure.
Experience with cloud providers such as AWS and/or GCP tech stack.
Ai Research Scientist – Deep Learning
By Samsung Electronics America At Toronto, Ontario, Canada
Experience with HPC and cloud computing; hands-on experience with schedulers is a plus.
Strong communication skills (written and verbal), motivation for international collaboration
Leverage the deep research work and findings to develop and program integrated software algorithms to structure.
Analyze and leverage research data in product and systems applications in both structured and unstructured environments.
Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
PhD in Computer Science or related discipline is required.
Senior Researcher - Machine Learning
By Huawei Technologies Canada Co., Ltd. At Markham, Ontario, Canada
Demonstrated experience of HCI and/or Ubiquitous Computing research fundamentals, including experience designing and evaluating novel technologies
Excellent written and oral communication skills
Understand product demands and industry technology trends to define research directions
Perform interaction design, core algorithm development, prototype development, user experimentation and collaborate with product teams to implement research findings into products
Generate intellectual property such as patents and trade secrets based on research outcomes
Publish papers in peer-reviewed scientific journals/conferences
Principal Scientist, Reinforcement Learning
By Sanctuary AI At Vancouver, British Columbia, Canada
PhD in Machine Learning, Computer Science, Applied Math, or equivalent work experience in ML
4+ years' experience implementing a variety of ML methods with a focus in a specialization such as computer vision or robotics
2+ years' experience implementing and deploying (dexterous) robotic manipulation tasks in simulation and on physical robots
Experience in simulation-to-reality transfer learning
Experience taking ML R&D and trained models into production
Hands-on experience integrating ML models onto a robotics platform
Data Scientist/Machine Learning Engineer
By Appen At Toronto, Ontario, Canada
Knowledge of SQL or similar database management systems.
Knowledge of advanced data techniques, including data modeling, data access, data integration, data visualization, databases, database design, and data management.
Strong knowledge and experience in Machine Learning, Data Science, and Generative AI.
Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
3-5 years of industry experience as a Data Scientist or Machine Learning Engineer.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Machine Learning Team Lead
By X4 Life Sciences At Toronto, Ontario, Canada
Help build and manage a small ML team (2-3 others) in the context of a large computational R&D company
Experience working with developers with distributed version control (Git)
Have been part of machine learning team in a non-academic setting or deep experience with protein structure
Perform research and development of new methods for learning from protein sequence and structure datasets
Unsupervised learning of protein/peptide sequence representation to assist in downstream machine learning engineering within the platform
Work with data sets that are diverse in type and size (sparse data sets, 3D models, amino acid sequences, structural features)
Senior Product Manager, Machine Learning Platform
By Scribd At Canada
5+ years of experience in product management, with a focus on machine learning or AI-related products.
Develop a deep understanding of our discovery team's needs and workflows, and translate them into clear requirements and product roadmap.
Past experience building and managing machine learning platforms or similar products.
Knowledgeable and passionate about generative AI and deep learning technologies.
Skilled at analyzing complex, large-scale data sets and making decisions based on data.
Technical experience with analytical tools, methodologies, and design.
Startup Founder | Data Scientist/Machine Learning/Ai Expert & Startup Founder
By Antler At Toronto, Ontario, Canada
Have strong analytical skills with hands-on experience in conducting technological analyses and applying advanced analytics & Machine Learning methodologies
Have experience leading a team and maintaining an organized oversight of specific product delivery schedules
have experience leading a team and maintaining an organized oversight of specific product delivery schedules
Requirements: you will need to be a Canadian citizen or PR card holder in order to qualify
Identify as someone with deep expertise in data science, machine learning, artificial intelligence or product development
Can design, develop, and implement models, proof-of-concepts and pre-product prototypes

Are you passionate about using data to solve complex problems? Do you have a knack for developing innovative machine learning models? If so, we have the perfect job for you! We are looking for a Machine Learning Scientist to join our team and help us create cutting-edge solutions to challenging problems. As a Machine Learning Scientist, you will be responsible for developing and deploying machine learning models to improve our products and services. You will have the opportunity to work with a diverse team of experts and explore the latest technologies in the field. If you are excited about pushing the boundaries of machine learning, this is the job for you!

Overview A Machine Learning Scientist is a professional who uses advanced mathematical and statistical techniques to develop and implement machine learning algorithms. They are responsible for designing, testing, and deploying machine learning models to solve complex problems in a variety of industries. Detailed Job Description A Machine Learning Scientist is responsible for developing and deploying machine learning algorithms to solve complex problems. They must be able to identify and analyze data, develop and test machine learning models, and deploy them in production. They must also be able to communicate their findings to stakeholders and other team members. Job Skills Required
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Ability to identify and analyze data
• Ability to develop and test machine learning models
• Ability to deploy machine learning models in production
• Ability to communicate findings to stakeholders and other team members
Job Qualifications
• Bachelor’s degree in computer science, mathematics, or a related field
• Master’s degree in computer science, mathematics, or a related field
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Knowledge of statistics and probability
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Knowledge of statistics and probability
• Knowledge of software engineering principles
Job Experience
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Experience with software engineering principles
• Experience with deploying machine learning models in production
Job Responsibilities
• Identify and analyze data
• Develop and test machine learning models
• Deploy machine learning models in production
• Communicate findings to stakeholders and other team members
• Monitor and evaluate machine learning models
• Update machine learning models as needed