Lead software engineer mlops Jobs

Consultant, Data Analytics
EPAM Systems, Inc. —Remote
- Remote
- Azure
- Computer Science
- Master's degree
- Employee stock purchase plan
- Disability insurance
2h
Senior Data Scientist - Generative AI, ML & Agentic Systems
Scotiabank —Toronto, ON
- Azure
- Doctoral degree
- Computer Science
Agentic AI Architect
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Director, NHI & AI Identity Engineering (Global Security)
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- AWS
- APIs
14d
AI Architect (AWS & Agentic AI)
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Director, Data Platform - Data Warehousing & Engineering
Questrade Financial Group —Toronto, ON
- Full-time
- Hybrid work
- Computer science
- Azure
- Management
Quick apply
Principal Enterprise Architect, AI Platform
Priceline.com —Toronto, ON
- $150,000–$175,000 a year
- Full-time
- Hybrid work
- Computer science
- Doctoral degree
- Computer Science
- Disability insurance
- Dental care
Senior Director, AI Solutions Engineering
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Bachelor's
Senior Director, ATOM Engineering
Royal Bank of Canada —Toronto, ON
- Full-time
- Management
- Doctoral degree
- Computer Science
Applied AI Engineer
Nexxa.AI —Canada
- Full-time
- Remote
- Azure
- Databases
- AWS
Engineering Manager, AI Engineering
Magnet Forensics —Canada
- $160,000–$210,000 a year
- Full-time
- Computer Science
- Engineering
- Bachelor's
- Paid time off
9d
Engineering Manager, Lime Vision
Lime —Canada
- $172,000–$237,000 a year
- Full-time
- Remote
- Management
- Doctoral degree
- Computer Science
Quick apply
1d

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Consultant, Data Analytics

EPAM Systems, Inc. -
Remote

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Job details

2 hours ago

Qualifications

Ontology
TensorFlow
Azure
Computer Science
PyTorch
Google Cloud Platform
SPARQL
Master's degree
AWS
C
Bachelor's
RDF
Business requirements
Leadership
Communication skills
Python
Data Science

Full job description

If you are an AI builder who thrives on taking ideas from vision to whiteboard (or demo) to production — and enjoys collaborating within a larger team to shape the future of enterprise AI — this role is for you.

We are looking for Managers within our Data & AI Consulting Practice to own the full AI lifecycle: shaping end-to-end solutions during pre-sales, leading enterprise ML/GenAI programs into production, as well as work on building scalable, market-ready AI offerings. This is a hands-on leadership role for technologists who combine deep engineering capability with client engagement and commercial ownership, delivering measurable enterprise impact beyond proof-of-concept initiatives.

Req# 1027351753

Responsibilities

Lead the full AI lifecycle — from pre-sales solutioning (RFPs, proposals, scoping/pricing) through production delivery of enterprise ML/GenAI programs, on time and on budget
Provide hands-on technical leadership in AI Engineering, driving design, development, and implementation of solutions across client engagements
Serve as a trusted AI advisor to client stakeholders (including C-level), championing enterprise-wide AI adoption and translating business challenges into actionable AI strategies
Collaborate cross-functionally and across geographies to shape scalable AI offerings, products, and differentiators for target verticals

Requirements

Strong hands-on AI expertise with a track record of production delivery (model architectures, quality metrics, MLOps); proficiency in Python and frameworks such as PyTorch/TensorFlow; familiarity with platforms like GCP, AWS, Databricks, or Azure
Demonstrated leadership in driving multi-dimensional teams and influencing senior stakeholders to secure funding and deliver AI products
Knowledge of semantic technologies (Ontology, Knowledge Graphs, OWL, RDF, SPARQL, SHACL) is a strong plus
Excellent communication and problem-solving skills — able to translate complex technical concepts and business requirements into practical, scalable AI solutions for diverse audiences
Bachelor's/Master's in Computer Science, Data Science, or related field (or equivalent experience)

We offer

Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
Life and AD&D Insurance (Company Paid)
Employee Assistance Program (Company Paid)
Telehealth (Company Paid)
Short-term Disability (Company Paid)
Long-Term Disability
Paid Time Off (including vacation and sick days)
Registered Retirement Savings Plan (RRSP) with Company match
Maternity/Parental/Adoption Leave Top-up
Employee Stock Purchase Program
Critical Illness Insurance
Employee Discounts
Unlimited access to LinkedIn learning solutions

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.

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Consultant, Data Analytics

Senior Data Scientist - Generative AI, ML & Agentic Systems

Agentic AI Architect

Director, NHI & AI Identity Engineering (Global Security)

AI Architect (AWS & Agentic AI)

Director, Data Platform - Data Warehousing & Engineering

Principal Enterprise Architect, AI Platform

Senior Director, AI Solutions Engineering

Senior Director, ATOM Engineering

Applied AI Engineer

Engineering Manager, AI Engineering

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