Director Of Ai & Ml

Toronto, ON, CA, Canada

Job Description

Join Hotspex Media!


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#1 Ranked Media Buying and Planning Agency on Clutch.co


Finalist 'Best AI Tool', 2024 Digiday Technology Awards


Hybrid Work Model (1 Day in Office / Week)


Winner of Waterstone Canada's Most Admired Corporate Cultures


Comprehensive Benefits Package and Wellness Spending Account

About the Role:



Reporting to senior leadership, we are seeking an experienced Director of AI & ML to work alongside product and engineering teams to architect strategic initiatives that embed AI workflows and capabilities into our media performance, analytics and client delivery processes. This role will play a critical part in defining our technical approach, selecting appropriate models and frameworks, leading implementation, and mentoring engineering teams to create transformative AI-driven tools.



Key Responsibilities:



Define and lead the architecture of our AI solutions, ensuring robust, scalable, and maintainable systems. Build and oversee a data science team, consisting of ML and data engineers. Develop and implement machine learning and NLP models for structured text extraction, insight generation, narrative development, and conversational intelligence. Collaborate closely with product management, data engineering, and software development teams to deliver integrated solutions. Communication with non-technical stakeholders, providing updates on approaches, progress, and opportunities that create business value for our internal and external stakeholders. Provide mentorship and technical guidance to engineering and analytics teams, fostering AI/ML best practices. Evaluate, select, and implement appropriate ML/NLP frameworks (e.g., TensorFlow, PyTorch, Hugging Face), cloud infrastructure (e.g., AWS, GCP), embedding models, and vector database solutions (e.g., Pinecone, Weaviate, Qdrant) to effectively support AI development and deployment. Integrate embedding models and vector databases into AI solutions, optimizing for semantic search, similarity retrieval, and recommendation systems. Define and implement best practices for embedding-based workflows, including embedding generation, storage, indexing, and retrieval. Establish effective MLOps practices to ensure smooth model deployment, monitoring, and lifecycle management. Continuously improve model accuracy and effectiveness based on user feedback and performance metrics.

Required Skills & Qualifications:



5+ years experience in Machine Learning, NLP, or AI-driven roles, ideally in product-focused environments. Deep expertise in NLP techniques (text extraction, summarization, embeddings, LLM fine-tuning). Experience with embedding models (e.g., OpenAI, SentenceTransformers, Hugging Face, Vertex AI embeddings) and vector databases (e.g., Pinecone, Weaviate, Qdrant, Chroma). Familiarity with semantic search, similarity retrieval techniques, and embedding-based recommendation systems. Proven hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong programming skills in Python and familiarity with data processing and ETL frameworks. Demonstrated experience architecting end-to-end AI/ML systems. Familiarity with cloud services (AWS, GCP, Azure) and ML infrastructure tools (Docker, Kubernetes, CI/CD pipelines). Familiarity with semantic search, similarity retrieval techniques, and embedding-based recommendation systems. Excellent technical leadership, mentoring capabilities, and strong communication skills.

Preferred Qualifications:



Exposure to agile methodologies and product-driven development cycles. Interest and knowledge of digital media, analytics, and marketing domains.

Why Join Us?



Lead transformative AI initiatives with high organizational visibility and impact. Work with a passionate, collaborative team eager to leverage AI to enhance their capabilities. Competitive compensation, remote flexibility, and career growth opportunities.

Our Values:


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We know our people are what allows us to achieve all that we do and that's why it's important that everyone we bring onto our team lives our values with us.

Courage One Team Resilience Empowerment
Hotspex Media Inc. is an equal opportunity employer and values diversity in its workforce.


Compensation Range: $180K - $220K

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Job Detail

  • Job Id
    JD2462888
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, CA, Canada
  • Education
    Not mentioned