Lead Ml Platform Developer Jobs in Morris, Manitoba

Experience with Docker, Kubernetes or similar orchestration and configuration management

You have 2-3 years of experience writing Python code in production

Demonstrated knowledge of SQL/NoSQL databases, RESTful APIs, and docker-containerized microservice-based architectures.

Experience with the AWS ecosystem including ML frameworks like Athena, S3, EMR Spark, Sagemaker, Tensorflow.

Exposure to a variety of machine learning algorithms (both supervised and unsupervised) and/or experience working with ML teams in the past

Top 50 Most Transformational Companies in Education Technology

Highly skilled at developing and debugging in C/C++, Java, or Go, with knowledge of Python a plus

You will collaborate with cross-functional teams to understand their requirements and develop solutions that meet their needs

BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience

8+ years of professional software development experience

Extensive experience building and owning large-scale, multi-threaded, geographically distributed backend systems

Strong communication skills and ability to work effectively in a collaborative team environment

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.

3-5 years of experience in data management, data engineering, or related roles, with hands-on experience in AWS, Azure, or GCP.

Experience in project management and the ability to deliver on-time and on-budget.

Maintain data management tools, such as data dictionaries and metadata repositories, to ensure accurate and consistent data definitions and documentation.

Understanding of data management best practices, including data governance, data security, and data quality.

Excellent leadership and communication skills, with the ability to manage and mentor a team of technical professionals.

Manage the MS architecture and collaborate with vendors/partners to ensure the successful implementation and operation of the data platform.

Strong communications skills and ability to translate technical verbiage to business and senior management

Present model results to senior management and appropriate committee

Experience working in a fintech or finance/banking institutions is nice to have but not required

Work in a cross functional capacity across all business units including product, marketing, operations, risk, fraud, compliance and finance

0-2 years experience with building and deploying ML models into production especially in the area of unsecured personal lending

Strong development experience with Python is a must along with ML libraries (pandas, numpy, scikit learn, TensorFlow)

Previous experience in Remote jobs

How to take your problem-solving skills to the highest level

You will participate in regular coaching and training to improve your skills.

5+ years experience in Business Central development

5+ years experience in building ERP solutions

Hands-on experience building automated tests for Business Central

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

Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.

Strong foundational knowledge in Machine Learning.

Experience with Azure cloud platform.

Excellent analytical and problem-solving skills.

Experience with machine learning platforms and tools, such as TensorFlow, PyTorch, Scikit-Learn, and Keras.

Knowledge of MLOps tools and practices, such as MLflow, Kubeflow, or Seldon.

Minimum of 3 years of experience in software development, with a strong focus on machine learning and natural language processing.

Proven hands-on experience in developing, deploying, and maintaining ML/NLP models and pipelines.

Experience with LLMs is a plus.

Experience with model optimization is a plus.

Strong problem-solving, communication, and collaboration skills.

Design, prototype, and validate ML/NLP models to solve challenging cutting-edge problems, using state-of-the-art techniques (including LLM and ChatGPT!) and best practices.

Collaborate with cross-functional teams to gather requirements, define project goals, and design scalable machine learning architectures.

Strong experience in machine learning engineering, with a focus on developing and deploying models in production environments.

Proficiency in Python and experience with relevant libraries and frameworks, such as TensorFlow, PyTorch, or Keras.

Experience with data preprocessing, feature engineering, and model evaluation techniques for text-based datasets.

Strong problem-solving skills and the ability to work on complex projects independently or collaboratively.

Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Knowledgeable computer skills including word processing, spreadsheets and presentation software, as well as databases and customer database systems

Join in on monitoring and maintaining internal accounting controls to ensure compliance with Sarbanes Oxley requirements

Less than one year of experience preferred

Excellent written, verbal and social communication skills

BA/BS degree in finance or a related field

Evaluate verified results at the corporate and division levels

2+ years of people management experience

Experience with agile and other program management methodologies

Collaborate with cross functional teams of product manager, software and data engineers to deliver unique customer experiences

5+ years of relevant data science, machine learning and engineering experience

Excellent communication skills, both written and verbal

Experience communicating with technical and non-technical stakeholders across multiple business units

At least 3 years of full-time experience with machine learning frameworks such as TensorFlow and PyTorch

Experience building ML models for edge devices (mobile, smartwatch)

Experience with signal processing techniques

Experience with time-series data manipulation and processing

Experience with MLOps and deploying machine learning models in production

Experience with developing solutions using LLMs models like GPT-4

Support life cycle management of deployed ML apps (e.g., new releases, change management, monitoring and troubleshooting).

Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus.

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

5+ years of experience as a MLOps or ML Engineer, preferably building and maintaining machine learning models.

2+ years of experience deploying and monitoring ML applications at scale across a range of models and platforms.

•Develop and maintain machine learning models that extend the current capabilities of our AI/NLP suite of products.

•Analyze and evaluate product requirements to determine the best solutions for software development.

•Manage the software development lifecycle using the agile/Scrum methodology.

•Manage technical dependencies and coordinate with stakeholders to ensure timely delivery of features.

Bachelor’s or Master’s degree in computer science or computer engineering (or equivalent experience).

3+ years of experience in software development with expertise in machine learning and artificial intelligence technologies.

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.

3+ years of experience in the Autonomous Vehicles or Robotics industry.

3+ of commercial C++ programming experience.

Hands-on experience with training, fine-tuning, deploying, and maintaining ML models in a production environment.

Translate complex, open-ended challenges into functional production code and machine learning models, primarily for Perception and Prediction tasks.

Investigate, prototype, and validate perception algorithms encompassing object detection, tracking, scene comprehension, and multi-sensor fusion.

Elevate proof-of-concept models to attain reliability and maturity at production levels, followed by iterative enhancements to boost their performance.

3-5 years of experience in data management, data engineering, or related roles, with hands-on experience in AWS, Azure, or GCP.

Experience in project management and the ability to deliver on-time and on-budget.

Maintain data management tools, such as data dictionaries and metadata repositories, to ensure accurate and consistent data definitions and documentation.

Understanding of data management best practices, including data governance, data security, and data quality.

Excellent leadership and communication skills, with the ability to manage and mentor a team of technical professionals.

Manage the MS architecture and collaborate with vendors/partners to ensure the successful implementation and operation of the data platform.

Experience fine-tuning large language models

Experience with prompt engineering of text and image models

Experience with game engines and game development

Experience with natural language code generation

Ideate and prototype LLM applications to be used by the production team

Transform successful prototypes into robust applications that can be used as dev tools

Implement UI/UX requirements using the necessary web development frameworks.

Work with product requirements team to evaluate and implement web application requirements.

Proven experience building production-grade systems on the cloud (Google Cloud Platform preferred)

Experience building programs with Python

Experience with application development frameworks such as NodeJS, Django etc.

Strong programming skills with emphasis on Object oriented programming, modular programming, code organization and software engineering best practices

Bachelor’s, Master’s or PHD degree (or equivalent experience) with focus on computer engineering

3+ years of experience in software development (or equivalent academic experience)

Strong programming skills (data structure, algorithms, OO)

Experience with Amazon Web Services

Experience with Continuous Integration Tools

Designing and implementing data generation, augmentation, and analysis tools