Machine Learning Engineer

HCLTech; Toronto; Hybrid; CAD 80,000 - 85,000; Full time

Job summary

HCLTech is seeking an experienced AI/ML Security Engineer in Toronto. This role involves developing generative AI security solutions and requires a strong foundation in software engineering and machine learning. The ideal candidate will hold a Bachelor's degree and have experience with AI/ML frameworks, security practices, and cloud architecture.

Qualifications

• 2+ years’ experience with Machine Learning Application Development.
• 3+ years of software engineering experience.
• Hands-on experience with applying statistics and machine learning algorithms.

Responsibilities

• Identify and benchmark AI security solutions in the market.
• Conduct proof-of-concept assessments of cybersecurity capabilities.
• Implement secure model development life cycle practices.

Skills

Gen-AI

LLM security solution

ML

MLOps

Cloud Architecture

Cryptography

Education

Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineering

Master's Degree in Data Science, Statistics, Computer Science or Software Engineering

Tools

Big Data Tools

MLOps

DevOps

DataOps

Job description

This range is provided by HCLTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$80,000.00/yr - CA$85,000.00/yr

Direct message the job poster from HCLTech

SENIOR EXECUTIVE-NORAM-US & Canada-TAG at HCLTech

Job Title :-AI/ML Security Engineer - Information Security

Job Location :- Toronto, ON

Hybrid -3 day onsite mandatory

Mandatory Skills

• Must Have : Gen-AI , LLM security solution, ML, MLOps
• Good to have : Cloud Architecture, Cryptography

Primary Responsibilities:

o Identify, analyze, and benchmark Generative Al augmented, LLM agentic security solutions in the market.

o Conduct proof-of-concept (PoC) assessments of selected cybersecurity capabilities to validate effectiveness in real-world environments.

o Define security control baselines and evaluation criteria for emerging risk security solutions.

o Evaluate vendor claims, solution architecture, and technical scalability.

o secunity testing of GenAI-powered cybersecurity tools.

o Publish detailed reports on the security, compliance, and efficacy of evaluated products.*

o Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.

o Evaluate and assess open-source Al security libraries to build into enterprise AI stress testing and audit capabilities.

o Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.

o Consistently enable strong developer and customer experience when liaising with application teams. Uphold Blue Box values when liaising with application teams.

Minimum Qualifications:

o Bachelor's Degree in Data Science, Statistics, Computer Science or Software Engineering

o 2- years’ experience with Machine Learning Application Development

o 3+ years of software engineering experience

Preferred Qualifications:

o Master's Degree - Data Science, Statistics, Computer Science, or Software Engineering

o Machine Learning Operation Professional Certifications

o Demonstrated peer reviewed journal publications, conference presentations, open-source contributions, or similar activities.

o Strong knowledge of Adversarial Robustness techniques and tools for machine learning

o Strong knowledge of AI Risk Management frameworks and Trustworthy Al practices.

o Hands-on experience with applying statistics, machine leaming algorithms (DNN. NLP), big data, and data science toolkits. Hands-on experience designing, implementing. and operationalizing high performant AI/ML pipelines and writing production code

o Hands-on experience with deploying and operationalizing AIML models to public cloud environments.

o Hands-on experience evaluating open-source MIL tools, frameworks, and libraries.

o Hands-on experience with commonly used data science programming languages, packages, and tools.

o Hands-on experience with MLOps. DevOps. DataOps and API integrations.

o Hands-on experience with Al workload management.

• Hands-on experience with Cloud architecture design, implementation, and operations.

o Knowledge of application security controls (Web, API, Mobile, AL).

o Knowledge of security domains. common information security management and application frameworks: NIST 800-53, CSF. OWASP ASS.

o Knowledge of Secure SDLC, Application Security design and DevSecOps

o Full stack knowledge of application architectures including: Single Page Applications, REST APIs, SOAP APIs. Mobile Applications.

o Knowledge or familiarity with database architectures including Oracle, SQL. DB2 and NoSQL Databases

o Experience with Cloud security, architecture, design, implementation, and operations

o Exposure to IAM Controls (Auth 2.0, OIDC, JWI)

o Strong familiarity with Cryptography Controls (Data at rest, in motion).

Certifications - CISSP. CISM. CSSLP, CISA. CRISC

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Business Development

• Industries

  IT Services and IT Consulting

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