Job Title: AI/ML Engineer
Location: Toronto, ON (Hybrid)
Estimated Duration: 12 Months
The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments.
Key Responsibilities
- Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment.
- Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs.
- Deploy models into production using CI/CD pipline.
- Build scalable microservices or APIs to serve ML models in real time.
- Implement monitoring for model drift, performance, and reliability.
- Collaborate with data engineering teams to define data requirements.
- Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
- Ensure data quality, governance, and security
- Evaluate new AI frameworks, tools, and techniques.
- Prototype solutions and run experiments to explore feasibility.
- Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization.
- Work with product managers and business teams to translate business problems into AI solutions.
- Partner with cloud engineers and DevOps teams for scalable deployment.
- Communicate complex technical concepts to non-technical stakeholders.
MUST-HAVE Hard Skills:
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow).
- Experience with LLMs, NLP, or deep learning.
- Strong knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
- Experience with cloud platforms (AWS/GCP/Azure) and model deployment.
- Strong understanding of data structures, algorithms, and software engineering best practices.
SOFT SKILLS:
- Strong communication skills (written and verbal)
- Strong time management
- Attention to detail and someone who is a self-starter and adaptable
- Strong documentation skills
- Strong problem-solving and analytical thinking skills
NICE-TO-HAVE
- Banking or financial institution experience
- Prior client experience
- Agile experience
The pay range that the employer reasonably expects to pay for this position is between CA$106.00 and CA$116.00
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.
We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.
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