Machine Learning Engineer Or Data Scientist Jobs

Minimum eight (8) years’ experience working in an Operations Research/ Machine Learning environment

3-5+ years of experience leading and delivering enterprise-scale operations research/ML projects and facilitating collaboration across teams

Proficiency in programming languages such as Python, along with experience using machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Solid knowledge of statistical analysis and experimental design to evaluate model and algorithm performance effectively

Recent experience with distillation of NLP tasks from larger models to task specific smaller models is an asset

Effective communication skills to convey complex technical concepts to both technical and non-technical audiences

Autonomous driving R&D experience. Leadership or management experience with a R&D team for proof-of-concept deliveries.

At least 10 years of in-depth hands-on working experience in Python, C/C++, TensorFlow, PyTorch, MXNet, Keras, etc.

Proven experience of translating ideas into research prototypes quickly.

Our team has an immediate permanent opening for a Research Scientist.

What you'll bring to the team:

Develop cutting-edge reinforcement learning and deep learning algorithms for behavioral planning, motion planning, and motion control.

Deep knowledge and technical proficiency gained through extensive education and business experience.

Broader work or accountabilities may be assigned as needed.

Verbal & written communication skills.

Analytical and problem solving skills.

Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.

Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.

Experienced with writing computer code, querying databases, and using computer languages like Python and SQL query.

Experience using Python libraries to create machine learning / statistical models (scikit-learn, SciPy, pandas, TensorFlow, XGBoost, etc).

Experience with time series data is considered an asset.

Strong problem-solving skills: An ability to approach complex problems analytically and derive actionable insights from data.

Work closely with senior data scientists on real-world projects, contributing to the development and improvement of the AI/ML model performance.

Conduct research and analysis to identify patterns and insights from time series data to improve forecasting accuracy.

Collaborate with different business units (Marketing, Operations, Products, and Finance) to provide machine learning-driven insights and automated recommendations.

Minimum of 3 years experience in data analysis, machine learning, and predictive modeling in a professional capacity.

Experience with ETL processes and big data processing using Snowflake or similar platforms.

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities to work effectively with cross-functional teams.

Ability to manage multiple projects and priorities in a fast-paced environment.

Climate Change and Carbon Management

Support GHD's Advisory group with carbon reduction and climate change management plans

Previous co-op experience or relevant work experience preferred, however, not a firm requirement

Ability to prepare proposals in plain language addressing client requirements

Attention to detail along with strong organizational skills

Strong Microsoft Office skills: Word, Excel, PowerPoint, Project and Outlook

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

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

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.

Define the processes needed to achieve and sustain operational excellence including security, cost management, tuning and ongoing optimizations

Partnering with analytics, project management and business leadership to implement the optimal solutions

Collaborate with cross-functional teams - business stakeholders, engineers, program management, project management, etc. - to produce the best solutions possible

Experienced programmer with expert level programming skills, required tuning and debugging

Knowledge of Data Visualization and Exploratory data analysis skills ( Power BI or similar )

Experience working with data, Azure cloud and MLOps

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.

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

Familiarity with Shakudo's tech stack, including experience developing on Kubernetes and infrastructure as code with tools like Terraform.

Exceptional communication, presentation, and problem-solving skills.

Bachelor's degree or equivalent experience in a related technical field.

Partner with the sales team, providing technical expertise during sales interactions, understanding customer needs, and proposing suitable solutions.

Conduct technical presentations and demonstrations, showcasing how Shakudo's platform can address specific business needs.

Serve as the primary technical contact for customers during the sales process, resolving issues, and providing guidance.

• 5+ years of experience as a Data Scientist

• 2+ years of experience in Deep Learning (PyTorch or TensorFlow)

• Experience in Artificial Intelligence and/or Big Data projects

• Experience with GCP – Google Cloud Platform (Big Query, Kubernetes, Vertex AI)

• Knowledge in the pharmaceutical and/or medical field (asset)

• Analyser un très haut niveau de données et les transformer

PhD in Computer Science or related quantitative field or the equivalent practical experience.

2+ years of hands-on experience applying modern machine learning methods to solve real-world problems.

Extensive experience using modern technologies to accelerate machine learning (e.g. PyTorch, TensorFlow/Keras, Horovod, etc)

Curiosity and the professional skill-set to excel in an open, highly collaborative environment.

Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results to cross-functional stakeholders.

Your work will change lives. Including your own.

Should have 10 + years of experience in providing end to end solution in Data and Analytics

Minimum 5+ years of experience in cloud service such as Azure/AWS/GCP

Minimum 4+ years of experience in Advanced Analytics - Technology Strategy, Analytics Operating Model and Machine Learning Operations

Experience in integrating ML process across the various toolsets (Domino Data labs, CI/CD pipelines, CloudBees etc.)

Experience in AI/ML operations and automation of various proceses as part of the MDLC

Experience leading and delivering AI/ML operating model and modern analytics technology stack