Sr. AI Engineer to develop and deploy AI / ML Solutions for our Pensions Client
Location : Downtown Toronto (2 Days in Office)
The AI Engineer will play a crucial role in developing and deploying AI / ML solutions for various applications in investment management at HOOPP.
The successful incumbent will work closely with cross-functional teams to understand requirements, prototype solutions, and deploy models into production environments.
Your expertise in data analysis, AI / ML modeling, and quantitative modeling will drive our innovation and success.
Must Have Skills :
- A master's or Ph.D. in a quantitative field.
- 9+ years of overall experience including grad school.
- 5+ years of experience in building production-level AI / ML and other quantitative models.
- Experience in investment management or related financial domains is preferred.
- Familiarity with distributed computing tools and cloud platforms (AWS, Azure, GCP).
- Proficiency in Python, R, or an object-oriented programming language.
What you will do :
Data Analysis & Processing
- Evaluate and clean data sets from various sources (SQL databases, NoSQL databases, graph databases, documents, corpora) to ensure they are ready for AI / ML modeling.
- Proficiency in data preprocessing techniques such as handling missing data, outlier detection, normalization, and transformation to ensure data readiness for modeling.
- Integrate and merge disparate datasets to create unified datasets suitable for AI / ML modeling.
AI / ML and Quantitative Modeling
- Develop custom AI / ML or statistical models tailored to specific use cases in investment management.
- Evaluate, fine-tune, and deploy open-source AI / ML models for various applications in investment management.
- Experience with several of the following frameworks : Pandas, NumPy, SKLearn, XGBoost, PyTorch, TensorFlow, Keras.
Prototyping & Deployment
- Proficiency in prototyping lightweight AI / ML solutions to quickly validate hypotheses and demonstrate feasibility.
- Develop wrapper APIs for model integration and interaction with other systems.
- Integrate AI / ML models with existing systems and databases, ensuring seamless functionality and performance.
Performance Improvement
- Monitor the performance of AI / ML models and make adjustments to improve accuracy and efficiency.
- Identify and design performance metrics for models to monitor, improve, and adjust models to maintain or enhance accuracy, efficiency, and reliability.
Product Discovery
Collaborate with business stakeholders, particularly Investment and Risk Management teams, to scope out modeling requirements and success metrics.
Research & Innovation
- Stay up-to-date with the latest research and advances in AI / ML and its applications to investment management.
- Apply innovative techniques to a variety of use cases in investment management.
- Commitment to staying updated with the latest research trends, advancements, and best practices in AI / ML relevant to investment management.
- Apply innovative AI / ML techniques and approaches to solve complex challenges and explore new opportunities in investment management.
Collaboration
- Experience working collaboratively with data engineers, software engineers, and teams in investment management and risk management to develop AI / ML solutions.
- Strong interpersonal skills and ability to work effectively in multidisciplinary teams, contributing to shared goals and outcomes.
Communication
- Clear and concise communication skills to articulate complex AI / ML concepts, methodologies, and results to non-technical stakeholders and team members.
- Capability to present findings, insights, and recommendations from AI / ML experiments in a compelling and understandable manner.
Documentation
Document AI / ML experiments, methodologies, findings, and insights systematically for future reference and knowledge sharing.
Our Technology Stack
- Programming Languages : Python (primary for AI / ML), SQL (data querying), and / or proficiency in some object-oriented language.
- AI / ML Frameworks and Libraries : TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, Pandas, NumPy.
- Data Storage and Management : SQL Databases (MySQL, PostgreSQL, MS SQL Server, Snowflake) and NoSQL Databases (MongoDB, Cassandra).
- Cloud Platforms and Big Data : AWS (EC2, S3, Lambda, SageMaker, Glue, Athena).
- Containerization, Orchestration, and Development Tools : Docker, Kubernetes, Flask, FastAPI, Django, GitHub, GitHub Actions, MS DevOps,, Jupyter Notebooks, Anaconda, VSCode / PyCharm.
Technical Trainer for AI Coding Projects
Are you an experienced software engineer who would like to lend your coding expertise to train AI models?. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. C...
Remote AI Training for Diagnostics and Laboratory Medicine (Freelance, Remote)
This innovative role as an AI Trainer - Diagnostics and Laboratory Medicine offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems...
Senior Cloud Architect to migrate and consolidate Google Cloud Platform (GCP) environments for our public sector client (Req 357)
Our public sector client is seeking a. Senior Cloud Architect to migrate and consolidate Google Cloud Platform (GCP) environments. Candidates can be % remote in Canada (Working MST hours) 37. Excellent written and verbal communication skills. ...
AI Trainer for Chemistry (Freelance, Remote)
Educate AI: Analyze and provide feedback on AI-generated outputs related to Chemistry Your guidance will directly improve the AI's accuracy and ability to apply its knowledge to real-world problems. This innovative role as an AI Trainer - Chemistry offers a unique opportunity to leverage your subjec...
Jr. SOC Analyst to support the Cybersecurity team on IAM and SOC activities for a Financial Services Client
Our Financial Services Client is in need of a. SOC Analyst to support the Cybersecurity team on IAM and SOC activities. SOC Tools (Splunk, Paolo Alto, etc. ...
AI Trainer for Electrical Engineering (Freelance, Remote)
This innovative role as an AI Trainer - Electrical Engineering offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the rig...
Sr. Solutions Architect- Generative AI, Cs Namer sa Gen AI
As a Generative AI Solution Architect, you will use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock, and Amazon Code Whisperer and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will have the opportunity t...
Engineer (AI/ML) - TD Asset Management
Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals. Support the ...
Senior Director, Business Development - Data & AI
We want you to reach your fullest potential and part of your professional development at WillowTree will include dedicated time to innovate on passion projects and an annual stipend to fund your professional pursuits. In order to create the best products for everyone, we know that it's important for...
Int. Administrative Assistant to support Corporate Banking LOB for a large banking client - 66733-1
Maintains and tracks overtime, on-call claims, staff vacations and absences in accordance with Bank and/or divisional guidelines to ensure consistency in entitlement and to determine staff availability. Liaises with internal business units and external vendors and participates in the local coordinat...