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.
Sr. Manager of Enterprise Architecture to guide executives through transformation and optimization initiatives and formulate business strategies for our Natural Resources Client.
Manager of Enterprise Architecture to guide executives through transformation and optimization initiatives and formulate business strategies for our Natural Resources Client. Leads analysis of the business’ future-state capabilities and future (and current) IT environment to detect critical gaps and...
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...
Senior Resource Management Analyst to support IT PMO & Transformation function for a large insurance client - 2599
You will be working at the heart of our IT Resource Management Function, setting the standards and being the source of tools, approaches, and guidance. Gather, review, and analyze large quantities of data relating to resource management which guide and inform critical business decisions and drive pe...
Sr. System Engineer
In this role, you will primarily focus on leading and executing IT projects while serving as a third-level support resource for issues escalated from Systems Administrators and Engineers. This is an excellent opportunity for a seasoned IT professional to work with a wide range of hardware and softwa...
Sr. Credit Risk Modeler to support IFRS9/CECL modeling team for our banking client
Credit Risk Modeler to support IFRS9/CECL modeling team for our banking client . Duration: 6-12 months to start with possible extension. ...
Sr. Software Engineer-GO/ Java
Deploy new features and capabilities being developed for application middleware APIs and UI tools. EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic informa...
Field Service Sr Engineer
As an employee, our promise to you is that youll work on new and innovative products and solutions, be mentored by managers and teammates who are collaborative, caring, and act with integrity, and have the opportunity to grow in ways that are meaningful to you. Providing advanced fuel-dispensing equ...
Senior Product Manager, Grafana AI/ML (Remote, Canada EST)
You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. You are a facilitator who ensures the free flow of information across these teams and are expected to be ...
Intermediate Electrical Engineer, Roadway Lighting and Traffic Signals
Providing engineering and design for electrical systems as part of both small and large scale multi-disciplinary projects for public and private sector clients. Our client, an engineering consulting firm, is engaged in the provision of professional engineering, operation, and management services. By...
Gen AI Senior Solutions Architect
Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. Continue to improve our internal development and design techniques and maintain our doc...