Stagiaire Développeur Ai Jobs

Instigate knowledge sharing, ensuring the team stays abreast of global advancements in AI and blockchain.

A minimum of 7 years of in-depth experience in AI, coupled with substantial exposure to blockchain technologies.

ML Frameworks: Experience with TensorFlow, PyTorch, or similar.

A penchant for innovation, coupled with robust problem-solving capabilities.

Excellent communication skills, fostering effective team collaborations.

Holistic health benefits, inclusive of medical, dental, and vision.

-Gain hands-on experience on diverse real-world projects across different industries to build your practical skills.

-Enhance your interview skills through mock interview sessions conducted by experienced professionals.

Skills Review Survey: Complete a 20-minute assessment evaluating your proficiency in Machine Learning and Python.

Initial Interview: Engage in a discussion with our Director of AI to talk about your goals and skills.

-Benefit from personalized guidance and support from industry experts who will mentor you throughout the program.

-Strengthen your resume and portfolio with the assistance of Hiring Managers from top companies.

Outstanding organizational and time management skills

Manage the President's inbox and clean up regularly, forward relevant items to relevant team members

Strong verbal and written communications skills

Research AI news and tips/trends and curate, share with the internal team daily in a Slack thread

Help write the basis draft of the weekly CASual, our President's newsletter

Work with the President to organize her calendar, tasks, events, and curate speaking gigs for her to apply to

-Gain hands-on experience on diverse real-world projects across different industries to build your practical skills.

-Enhance your interview skills through mock interview sessions conducted by experienced professionals.

Skills Review Survey: Complete a 20-minute assessment evaluating your proficiency in Machine Learning and Python.

Initial Interview: Engage in a discussion with our Director of AI to talk about your goals and skills.

-Benefit from personalized guidance and support from industry experts who will mentor you throughout the program.

-Strengthen your resume and portfolio with the assistance of Hiring Managers from top companies.

Help define project scope, goals, and deliverables in collaboration with senior management and stakeholders.

Report and escalate issues to management as needed.

Manage changes in project scope, schedule, and costs using appropriate verification techniques.

Identify and manage project risks and issues, and devise mitigation strategies.

MTL.AI is searching for a skilled

Applicants should be residents of Canada. Possibilities for remote work within Canada.

Knowledge of AI as product manager

Digital experience vision and strategy

Future growth platforms for D2C experience strategy, vision, and concepts

Innovation strategy for future of D2C and loyalty using web 3.0, probing emerging trends

-Gain hands-on experience on diverse real-world projects across different industries to build your practical skills.

-Enhance your interview skills through mock interview sessions conducted by experienced professionals.

Skills Review Survey: Complete a 20-minute assessment evaluating your proficiency in Machine Learning and Python.

Initial Interview: Engage in a discussion with our Director of AI to talk about your goals and skills.

-Benefit from personalized guidance and support from industry experts who will mentor you throughout the program.

-Strengthen your resume and portfolio with the assistance of Hiring Managers from top companies.

Strong software design skills with experience of data-driven architectural patterns

Deliver high quality systems and features that meet design and technical requirements.

Assist with technical design documents, requirements clarification, tasks definition and peer code-reviews.

Plan work effectively and provide realistic updates on progress to managers.

8+ years of experience in related jobs

Strong optimization and multithreading skills

Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

Collaborate with cross-functional teams to evaluate and incorporate external libraries, tools, and frameworks to enhance our machine-learning capabilities.

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

Experience with large-scale data processing frameworks (e.g., Spark, Hadoop) and cloud computing platforms (e.g., AWS, GCP) is highly desirable.

Conduct exploratory data analysis, feature engineering, and model evaluation to gain insights and improve model performance

Implement and deploy scalable machine learning pipelines and frameworks to process and analyze large-scale datasets efficiently.

The breadth of responsibilities of being an early-stage member of a start-up

Long-term employment with salary, full benefits, and stock options after providing results.

As the visionary and the AI lead of XARIIA, your responsibilities include:

Remains flexible and is ready for scale.

Ready to learn the technology that's needed for the product.

Build native apps that meet industry needs and expectations.

Bachelor's degree in business administration, management, or a related field

Profound understanding of project management methodologies and best practices.

Outstanding organizational skills with the ability to manage multiple projects concurrently.

Exceptional communication and interpersonal skills, enabling effective engagement and collaboration with clients, internal teams, and external partners.

Strong problem-solving and decision-making abilities, with a focus on achieving results and meeting deadlines.

Proactive, detail-oriented, and self-motivated individual with a strong commitment to delivering high-quality results.

2 years SQL developer experience. DBA considered

SQL Server Data Warehouse / Azure Synapse or experience in RDMS or equivalent MPP cloud based databases

Developer Experience: Python, Scala, R

TSQL, PL/SQL, Kusto (Azure Data Explorer)

ETL Tool or equivalent such as Azure Data Factory, SQL Server Integration Services

Strong background in network connectivity (Network +, CCNA preferred

5 years of experience in advanced analytics ideally intersecting with financial services risk management

Experience working with data and performing related analysis including knowledge of programming languages such as Python, SAS, R, MATLAB.

Demonstrated project or engagement management ability to plan and execute projects/engagements to a successful conclusion

Learning opportunities to develop new skills and progress your career

FSRM Manager – AI Risk

Skills And Attributes For Success

Solid programming skills in Python and experience with relevant libraries and tools.

Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions.

Excellent problem-solving skills and ability to think creatively.

Strong communication and collaboration skills to work effectively within cross-functional teams.

Experience with cloud-based AI platforms and services.

Knowledge of computer vision, natural language processing, or speech recognition.

Unsure if your skills meet all of our requirements?

Collaborate with data scientists and domain experts to understand business requirements and translate them into technical specifications.

Proven experience as an AI Engineer or similar role, with a focus on generative AI and PyTorch.

Proficiency in programming languages such as Python and experience with PyTorch framework.

Solid knowledge of generative models, such as LLMs, GANs, VAEs, and autoregressive models.

Experience in training and fine-tuning generative models on large-scale datasets.

Evaluate and select appropriate AI technologies and platforms based on project requirements

Good knowledge of generative modelling techniques, such as GANs, VAEs, or similar architectures

Should have knowledge in ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable AI

Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)

Proven experience as an AI Architect or a similar role, with a strong background in designing and implementing AI solutions.

Work in conjunction with AI consultants and AI Engineers on use cases ideation, PoC design through development, deployment and steady state

Strong experience managing senior stakeholders, with the ability to multitask and prioritize effectively

Superior written and verbal communication skills combined with solid attention to detail.

Strong organization skills: ability to prioritize work demands, and meet deadlines

Interest or passion for understanding AI technologies, trends, and their application

A passion for building from the ground up, problem-solving, ideation, and innovation

Ability to develop and present new ideas and conceptualize new approaches and solutions

Flexible remote and hybrid working options

Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)

Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments.

Automate key business tasks by implementing them in our production process framework in C#

Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis

Competitive Salary and a variable component tied to personal and company performance

Extensive experience in or understanding of the collection of data and automation of the system architecture

Extensive experience in C++ and Python

To work on the volume estimation of 3D models

To record the pose of the objects and create 3D videos of the objects

To build the pipeline to automate the collection of data

To create the bounding boxes for points of interest and collect data

Possesses a thorough knowledge of the principles of project management and can apply them effectively on small to large size projects

People management experience is desirable

Formal project management education, PMP / Scrum Master

Defines, plans and drives projects and program plans based on management and senior technical guidance

Creates and maintains project management artifacts such as schedule, resource and resource forecast, risk and issues logs

Technical program management and customer relationship management