Company: Hilton Grand Vacations
Location: Orlando, FL
Expected salary:
Job date: Sat, 01 Feb 2025 08:09:51 GMT
Job description: The ideal candidate for this position will have a strong background in marketing, finance, or IT, with expertise in PowerBI development. In addition, candidates should have experience working with Generative AI (GenAI) models and their APIs. The successful candidate will be responsible for utilizing their skills in these areas to drive strategic decision-making and maximize business opportunities through data analytics and innovative technology solutions. This role offers the opportunity to work on cutting-edge projects and collaborate with a talented team of professionals in a dynamic and fast-paced environment.
Data Scientist – Machine Learning and Advanced Analytics (Remote) – Hilton Grand Vacations – Orlando, FL
Company: Hilton Grand Vacations
Location: Orlando, FL
Expected salary:
Job date: Fri, 31 Jan 2025 06:27:42 GMT
Job description: This job requires a strong background in marketing, finance, or IT, along with experience in PowerBI development and Generative AI (GenAI) models. The successful candidate will use their expertise to analyze and interpret data, create visualizations, and develop AI models to drive business growth and decision-making. This role offers the opportunity to work on cutting-edge technologies and make a significant impact on the company’s success.
AMCS – Machine Learning Engineering Intern – Ottawa, ON
Company: AMCS
Location: Ottawa, ON
Expected salary:
Job date: Sun, 08 Dec 2024 02:25:43 GMT
Job description: Sustainability that means businessWho we are:Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, the USA, and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialize in delivering technology solutions to facilitate a carbon neutral future.What we do:Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.Our peopleAMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and ‘start-up’ mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.As a Machine Learning Engineering Intern, you will contribute to the design, development, and deployment of machine learning models and data pipelines. You’ll support the team in data preparation, model training, and evaluation, while learning best practices for ML in production. This is a great opportunity for someone eager to learn about ML workflows, data engineering, and software development in an industry setting.Responsibilities:Assist in data cleaning, preprocessing, and exploratory data analysis to prepare data for model training.Develop, train, and fine-tune machine learning models using frameworks/tools like Python/PySpark, Python, TensorFlow, PyTorch, and Scikit-Learn on Azure DatabricksBuild, maintain, and optimize data pipelines for seamless data flow and model integration Azure Databricks using PySpark/Python and Spark SQLImplement and evaluate ML models, tracking performance and refining based on feedback.Collaborate with team members to integrate models into production environments.Document processes, code, and findings, contributing to team knowledge sharing.Stay current with the latest ML trends and research to support ongoing projects.Requirements:Currently pursuing a bachelor’s degree (final year), Master’s, or PhD in Computer Science, Data Science, Engineering, or a related fieldHands-on experience with ML frameworks (TensorFlow, PyTorch, or Scikit-Learn)Understanding of fundamental machine learning and deep learning concepts, algorithms, and data structuresFamiliarity with Large Language Models (LLMs) and attention-based modelsExperience with building, managing, and optimizing data pipelines.Strong analytical skills and problem-solving abilitiesExcellent communication and teamwork skills
Nice-to-Have:Experience with Databricks, PySpark, Spark SQL, and Apache SparkFamiliarity with MLOps best practicesProficiency with Power BI for data visualizationExperience with development of Retrieval-Augmented Generation (RAG) modelsFamiliarity with LlamaIndex and LangChain for building LLM-powered applications.
What You’ll Gain:Hands-on experience in real-world machine learning projects and data pipeline developmentMentorship and support from industry professionalsExposure to cutting-edge platforms and technologies
Manager, Machine Learning – Loblaw – Toronto, ON
Company: Loblaw
Location: Toronto, ON
Expected salary:
Job date: Wed, 22 Jan 2025 04:34:06 GMT
Job description: . Why is this role important? As a Machine Learning Engineering Manager, you will be at the forefront of innovation, leading the design… learning and related technologies is crucial, applying new knowledge to continually refine our solutions. As a manager…
Engineering Manager, Machine Learning – Loblaw – Toronto, ON
Company: Loblaw
Location: Toronto, ON
Expected salary:
Job date: Wed, 22 Jan 2025 03:26:42 GMT
Job description: workforce, or looking for a new job, this is where you belong. As the Engineering Manager, Machine Learning, you will lead… engineering teams, with a track record of successful project delivery. Strong proficiency in Python and experience with machine…
Clio – Senior Machine Learning Engineer – Toronto, ON
Company: Clio
Location: Toronto, ON
Expected salary:
Job date: Sun, 05 Jan 2025 07:40:16 GMT
Job description: is more than just a tech company–we are a global leader that is transforming the legal experience for all by while .Summary:We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact. This role is available to candidates across Canada and the US.What your team does:At Clio, we are proud to have an exceptional team dedicated to transforming the legal experience for all. Within our engineering department, our mission is to deliver outstanding solutions that empower and delight our customers. The AI team leverages cutting-edge advancements in Natural Language Processing (NLP) and Generative AI (GenAI) to develop innovative tools that streamline workflows, enhance efficiency, and enable legal professionals to focus on what matters most—their clients.A day in the life might look like:Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experienceCreate LLMs based solutions to help Clio’s clients to save time and create efficienciesCollaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customersWork in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projectsWhat you may have:Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;Exceptional communication skills and the ability to build trust with both internal teams and external customers;Demonstrated success in mentorship in software development, particularly using an Agile process and with large scale SaaS products;A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.#LI-RemoteWhat you will find here:Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.Some highlights of our Total Rewards program include:Competitive, equitable salary with top-tier health benefits, dental, and vision insuranceHybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.Flexible time off policy, with an encouraged 20 days off per year.$2000 annual counseling benefitRRSP matching and RESP contributionClioversary recognition program with special acknowledgement at 3, 5, 7, and 10 yearsThe full salary range* for this role is $144,900 to $170,500 to $196,100 CAD.Please note there are a separate set of salary bands for other regions based on local currency.*We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.Diversity, Inclusion, Belonging and Equity (DIBE) & AccessibilityOur team shows up as their authentic selves, and are united by our mission. We are dedicated to . We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.Learn more about our culture at
Parent Organization – Machine Learning Engineer – (Remote) – Toronto, ON
AMCS – Machine Learning Engineering Intern – Ottawa, ON
Company: AMCS
Location: Ottawa, ON
Expected salary:
Job date: Sat, 07 Dec 2024 23:58:00 GMT
Job description: Sustainability that means businessWho we are:Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, the USA, and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialize in delivering technology solutions to facilitate a carbon neutral future.What we do:Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.Our peopleAMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and ‘start-up’ mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.As a Machine Learning Engineering Intern, you will contribute to the design, development, and deployment of machine learning models and data pipelines. You’ll support the team in data preparation, model training, and evaluation, while learning best practices for ML in production. This is a great opportunity for someone eager to learn about ML workflows, data engineering, and software development in an industry setting.Responsibilities:Assist in data cleaning, preprocessing, and exploratory data analysis to prepare data for model training.Develop, train, and fine-tune machine learning models using frameworks/tools like Python/PySpark, Python, TensorFlow, PyTorch, and Scikit-Learn on Azure DatabricksBuild, maintain, and optimize data pipelines for seamless data flow and model integration Azure Databricks using PySpark/Python and Spark SQLImplement and evaluate ML models, tracking performance and refining based on feedback.Collaborate with team members to integrate models into production environments.Document processes, code, and findings, contributing to team knowledge sharing.Stay current with the latest ML trends and research to support ongoing projects.Requirements:Currently pursuing a bachelor’s degree (final year), Master’s, or PhD in Computer Science, Data Science, Engineering, or a related fieldHands-on experience with ML frameworks (TensorFlow, PyTorch, or Scikit-Learn)Understanding of fundamental machine learning and deep learning concepts, algorithms, and data structuresFamiliarity with Large Language Models (LLMs) and attention-based modelsExperience with building, managing, and optimizing data pipelines.Strong analytical skills and problem-solving abilitiesExcellent communication and teamwork skillsNice-to-Have:Experience with Databricks, PySpark, Spark SQL, and Apache SparkFamiliarity with MLOps best practicesProficiency with Power BI for data visualizationExperience with development of Retrieval-Augmented Generation (RAG) modelsFamiliarity with LlamaIndex and LangChain for building LLM-powered applications.What You’ll Gain:Hands-on experience in real-world machine learning projects and data pipeline developmentMentorship and support from industry professionalsExposure to cutting-edge platforms and technologies
Autodesk – Intern, Machine Learning Research – Toronto, ON
Company: Autodesk
Location: Toronto, ON
Expected salary:
Job date: Fri, 06 Dec 2024 07:35:32 GMT
Job description: Job Requisition ID #24WD84124Position OverviewWe are seeking a highly motivated Machine Learning Research Intern to
join our team. This role focuses on advancing the capabilities of large
language models (LLMs), vision-language models (VLMs), and their
applications in reasoning tasks.We offer a dynamic and supportive research environment, and the
opportunity to work on cutting-edge technologies. If you are passionate
about this field and are looking for an exciting opportunity to advance your
research career, we encourage you to apply for this positionAs part of this role, you will contribute to the development of algorithms
that enhance reasoning in multi-modal AI systems, with a focus on fine-
tuning LLMs and VLMs, exploring reasoning frameworks, and utilizing
synthetic data for model training.ResponsibilitiesConduct research and experiments to enhance reasoning capabilities inLLMs and VLMsDevelop and fine-tune multi-modal AI models for tasks requiring sophisticated reasoningExplore and implement synthetic data generation techniques to supporttraining pipelinesPublish findings in leading machine learning and AI journals and conferencesAdvocate for cutting-edge AI technologies and contribute to the team’s technical strategyMinimum QualificationsA PhD (or equivalent experience) in machine learning, AI, or a related fieldA strong publication record in machine learning, reasoning, or multi-modal AIStrong expertise in LLMs, VLMs, and physicsProven experience in fine-tuning large models and working with multi-modal dataProficiency with modern ML frameworks (e.g., PyTorch, JAX) and programming languages such as PythonExcellent problem-solving and communication skillsLearn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:
Machine Learning Software Project Manager – Robert Half – Vancouver, BC
Company: Robert Half
Location: Vancouver, BC
Job description: Job Description: Are you an experienced software project manager looking for your next great career move…. This is a full-time software project manager role with an established software products company in Vancouver. In this role, you’ll…
be responsible for managing the development and implementation of software projects, including planning, monitoring progress, and ensuring deliverables are on time and within budget. You will work closely with cross-functional teams and stakeholders to drive project success and ensure client satisfaction. The ideal candidate will have strong communication and leadership skills, a solid understanding of software development processes, and a proven track record of successful project management. This is an exciting opportunity for a dynamic individual looking to advance their career in the software industry.
Title: Full Stack Web Developer
Location: Toronto, ON
Salary: Competitive
Our client, a leading technology firm, is looking for a talented Full Stack Web Developer to join their team in Toronto, ON. As a Full Stack Web Developer, you will be responsible for developing and maintaining web applications, collaborating with cross-functional teams, and implementing new features.
Responsibilities:
– Develop and maintain web applications using modern technologies
– Collaborate with cross-functional teams to define, design, and ship new features
– Design, develop, test, deploy, maintain, and improve software
– Write clean, maintainable, and efficient code
– Troubleshoot and debug applications
– Stay up-to-date with industry trends and technologies
Requirements:
– Bachelor’s degree in Computer Science or related field
– 3+ years of experience as a Full Stack Web Developer
– Strong proficiency with front-end and back-end technologies (JavaScript, HTML, CSS, Node.js, React)
– Experience with databases (SQL, MongoDB)
– Knowledge of DevOps tools and processes
– Strong problem-solving skills and attention to detail
– Excellent communication and teamwork skills
If you are a passionate Full Stack Web Developer looking to join a dynamic team in Toronto, ON, apply now!
Expected salary: $120000 – 150000 per year
Job date: Fri, 06 Dec 2024 00:28:02 GMT