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Contract Meta Machine Learning Jobs in Kitchener, ON

Ag

Sr AI/ML Software Developer

Waterloo, ON · Hybrid

Independently own and drive the end-to-end Machine Learning lifecycle (MLOps), from model packaging ... Contract Type: Permanent ----- Experience Level: Professional Job Family: Digital By submitting ...

Providius

Quality Assurance Lead

Hamilton, ON · On-site

Lead API and contract testing across services and integration boundaries * Develop test tooling ... Experience validating data pipelines or machine learning systems * Familiarity with simulation ...

Six Nations Polytechnic

Shop Assistant

Brantford, ON · On-site

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Six Nations Polytechnic

Shop Assistant

Brantford, ON

CA$20.79 - CA$24.36/hr

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Six Nations Polytechnic

Shop Assistant

Brantford, ON · On-site

CA$20.79 - CA$24.36/hr

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Carter's

Seasonal Part-Time Associates

Cambridge, ON

$19.50/hr

Meaningful work, constant learning, genuine people, and a community guided by core values that ... This seasonal contract runs through to mid-January. Reporting directly to a Supervisor, the ...

All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Kitchener, ON

Contract Meta Machine Learning information

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are popular job titles related to Contract Meta Machine Learning jobs in Kitchener, ON? For Contract Meta Machine Learning jobs in Kitchener, ON, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Kitchener, ON look for? The top searched job categories for Contract Meta Machine Learning jobs in Kitchener, ON are:
What cities near Kitchener, ON are hiring for Contract Meta Machine Learning jobs? Cities near Kitchener, ON with the most Contract Meta Machine Learning job openings:
Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

Sun Life Financial

Waterloo, ON • On-site

Full-time

Re-posted 10 days ago

Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

88th of 304 rated insurance

Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.


Job Description:

Please Note: This is a 16 month contract role

Role Summary

Within Sun Life, theData and Analytics COEcomprisedof savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming clientcentric. An integral part of theData and Analytics COEorganization, the Data ScienceCOEsupports Canadian business units in their journey toleveragedata and analytics as a foundational pillar in delivering business value.

Reporting to theDirector, Data Science,as aSenior Data Scientistyou will focus on supporting Canadian business units in accelerating the growth and application ofadvancedanalytics in driving value.The senior data scientist willleveragepractical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Sun Life views success in this role in demonstration of these key attributes:

Fierce curiosity.You are drawn to discovering andleveragingnew data and taking on challenging business puzzles.An inquisitive mind.Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing.A passion for solving problems.The most successful data scientists' solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency.Technical skills in both data and computer science.There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured dataand unstructured data.Thirst for learning.You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

What you will do:

Data Science and Machine Learning

  • Translate business goals into analytical problems;Identifyoptimalalgorithms, statisticaltechniquesand/or GenAI architecture suitable for the business problem at hand
  • Work in cross-functional teams to develop ML/data science products, including GenAI applications
  • Apply best-in-breeddata science techniques including descriptive, predictive, and machine learning methods from design to implementation
  • Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

  • Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
  • Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks(LangChain,LangGraph,CrewAIetc.)
  • Implement AI bots/agents with advanced reasoning capabilities and tooluse patterns
  • Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

  • Break down broader data science development milestones into actionable goals, activities, and work plans
  • Create andmaintaintechnical design artifacts describing application functionality, data models, interfaces, and integrations
  • Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
  • Champion continuous improvement and foster innovation within the analytics community

What you need to succeed:

  • Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
  • 5+years experiencein developing and implementing data science techniques
  • Proficient in Python for data science and GenAI application development
  • Experience withwriting complex SQLandPySparkqueries to extract and integrate data from multiple database sources
  • Proficiencyin machine learning including supervised and unsupervised models
  • Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
  • Strong understanding of APIs, microservices architecture, and cloud-native development
  • Hands-onexpertisewith GenAI frameworks and LLM APIswith experience developing AI bots/agents with reasoning and tool-use capabilities
  • Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologiesand familiarity with vector databases and embedding models
  • Experience with chatbot development concepts and conversational AI design
  • Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
  • Effective and concise oral and written storytelling and insights communication skills
  • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
  • Proven ability to mentor and guide junior data scientistsand data engineers
  • Strong problem-solving abilities and analytical skills with keen attention to detail

What would be nice to have?

  • Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
  • Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality,and AWS Step Functions.

Unique Requirements:

  • This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.
  • Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices.

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.
  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
  • Wellness programs that support the three pillars of your health - mental, physical, and financial
  • The opportunity to move along a variety of career paths with amazing networking potential.
  • As a hybrid organization, you and your leader use business and Client needs to choose where you work, at home or in the office

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.


Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.


Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.


We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.


We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.


We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.


Salary Range:

90,000/90 000 - 140,000/140 000

Job Category:

Advanced Analytics

Posting End Date:

12/08/2026

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