Applied Machine Learning Scientist II (AI/ML...

The Applied Machine Learning Scientist II is responsible for providing technical knowledge and expertise on advanced analytics and machine learning across a broad range of analytics functions including data and modelling frameworks, tools, technology, processes and procedures.

This role generally provides expertise in stakeholder interactions related to complex advanced analytics related material. Additionally, this role plays a lead role in the development of AI/ML systems to solve a range of complex problems and is adept at translating business objectives into technical solutions., We are seeking a highly experienced and technically strong Applied Machine Learning Scientist to lead the development of next-generation AI/ML solutions focused on fraud, risk, operational intelligence, and decision optimization., + Lead the end-to-end development and deployment of advanced AI/ML solutions addressing strategic business challenges across fraud, risk, and operational domains.

• Design and implement production-grade machine learning systems using advanced statistical modeling, deep learning, Generative AI, NLP, graph analytics, and Agentic AI frameworks.Drive innovation in emerging AI capabilities, including:LLM-powered applicationsAI copilots and agentic workflows*Retrieval-Augmented Generation (RAG)Multi-agent orchestration frameworksIntelligent decision support systems

• *Human-in-the-loop AI solutions

• Develop scalable data science and AI pipelines leveraging technologies such as Python, Databricks, Azure, PySpark, MLflow, vector databases, orchestration frameworks, and modern AI tooling ecosystems.

• Partner closely with business leaders, fraud strategy teams, engineering, MLOps, governance, and enterprise AI organizations to identify opportunities and deliver measurable business value.

• Translate ambiguous business problems into analytical frameworks, technical solutions, and actionable insights.

• Lead technical architecture discussions and contribute to AI platform strategy, solution design, and enterprise AI standards.

• Communicate complex analytical concepts and AI solution designs effectively to executive leadership, business stakeholders, and governance partners.

• Ensure strong model governance, explainability, monitoring, and responsible AI practices throughout the AI/ML lifecycle.

• Mentor and guide junior scientists by promoting best practices in machine learning, software engineering, experimentation, and AI product development.

• Maintain awareness of emerging industry trends, academic research, and evolving AI technologies, proactively identifying opportunities to apply them within the organization.

Depth & Scope:

• Adept at technical project execution, strategic planning and effective communication. Accountable for specialized knowledge in a field of AI/ML

• Works autonomously and accountable for acting as a lead within a function

• Undertakes and completes a variety of complex initiatives requiring seasoned specialist AI/ML knowledge and/or the integration of cross functional processes, + Provides strong knowledge in a given AI/ML area. Delivers insights into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produces new and creative analytic solutions that will become core deliverables

• Works closely with business owners to identify opportunities and serves as an ambassador for data science

• Designs and delivers enterprise analytic solutions for customers

• Develops powerful business insights from a broad range of data using advanced machine learning techniques

• Works in a highly interactive, team-oriented environment with Big Data developers, engineers, modelers and others

Shareholder Accountabilities:

• Adheres to enterprise frameworks or methodologies that relates to activities for our business area

• Ensures respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities

• Consistently exercises discretion in managing correspondence, information and all matters of confidentiality; escalates issues where appropriate

• Ensures business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)

• Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations

• Conducts internal and external research projects; supports the development/delivery of presentations/communications to management or broader audience

• Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, makes recommendations, assesses the effectiveness of programs/policies/practices

• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist

• Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues

• Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements

• Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts

• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

• Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest

• Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit

• Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques

• Participates in personal performance management and development activities, including cross training within own team

• Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities

• Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices

• Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships. Contributes to a fair, positive and equitable environment that supports a diverse workforce

• Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

This role is ideal for a senior AI practitioner who combines deep technical expertise with strong business acumen and the ability to lead complex cross-functional initiatives from concept through production deployment. The successful candidate will play a key role in advancing the organization's capabilities in Generative AI, Agentic AI, machine learning, and intelligent automation.

The role requires hands-on expertise in building scalable AI systems while also serving as a technical leader and mentor for junior scientists. Candidates should be comfortable operating in highly ambiguous problem spaces, rapidly prototyping innovative solutions, and collaborating directly with senior business stakeholders to translate strategic priorities into deployable AI products., + Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;

• 1+ years relevant experience (includes post graduate experience)

Preferred Qualifications:

• Advanced degree (Master's or PhD preferred) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or related quantitative discipline.

• Extensive experience developing and deploying advanced AI/ML solutions in enterprise environments.

• Strong hands-on experience with machine learning, deep learning, NLP, LLMs, Generative AI, and modern AI application architectures.

• Experience building or implementing: * Agentic AI systems * AI copilots * Retrieval-Augmented Generation (RAG) * Prompt engineering frameworks * Multi-agent workflows * Conversational AI solutions * Knowledge retrieval systems

• Deep expertise in Python, PySpark, SQL, and modern ML/AI frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Hugging Face, MLflow, or equivalent ecosystems.

• Experience working with cloud-based AI/ML platforms such as Azure Databricks and distributed computing environments.

• Strong software engineering and productionization skills, including Git-based development workflows, CI/CD concepts, API integration, and scalable AI solution deployment.

• Experience developing AI/ML solutions within fraud, financial services, risk, payments, or highly regulated industries is strongly preferred.

• Strong understanding of AI governance, explainability, model risk management, and responsible AI principles.

• Demonstrated ability to lead complex initiatives and influence cross-functional stakeholders in fast-paced enterprise environments.

• Excellent communication and presentation skills with the ability to explain technical concepts to both technical and non-technical audiences.

• Proven ability to mentor junior team members and contribute to a strong collaborative team culture.

• Strong research mindset with the ability to evaluate and operationalize emerging AI techniques from academic and industry research.

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (http://hrportal.ehr.com/tdtotalrewards), We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

The Advanced Analytics (AA) team at TD Bank serves as a Center of Excellence (CoE) delivering advanced analytics, Artificial Intelligence (AI), and Machine Learning (ML) solutions across U.S. business lines. The team partners closely with fraud, risk, operations, digital, and enterprise stakeholders to solve complex business challenges through data-driven innovation. AA is at the forefront of developing scalable AI capabilities that improve operational efficiency, strengthen fraud and risk management, and enhance customer experiences. The team leverages modern cloud-based technologies and advanced AI methodologies - including Generative AI, Agentic AI systems, machine learning, graph analytics, NLP, and predictive modeling - to build intelligent solutions that create measurable business impact. The organization fosters a highly collaborative and innovative environment where scientists work closely with business leaders, engineers, MLOps, governance teams, and enterprise AI partners to transform emerging AI technologies into production-ready enterprise solutions., TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.