Demo

Senior AI/ML Engineer (Hybrid or Remote)

Intact Insurance Specialty Solutions
Canton, MA Remote Full Time
POSTED ON 2/19/2025
AVAILABLE BEFORE 5/16/2025

Our employees are at the heart of what we do : helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community.

Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you.

Who we are

At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups.

Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets : U.S., Canada, UK and Europe. The following opportunity is for our U.S. team.

The opportunity

We currently have an opportunity for a Senior AI / ML Engineer to join our Corporate IT team based in our Canton, MA office or remotely within the United States. The Senior AI / ML Engineer is an experienced technology professional who will design, develop, and maintain AI-driven solutions within Intact's technology ecosystem. This role requires expertise in artificial intelligence, machine learning, and data-driven decision-making. The engineer will work on integrating AI capabilities and ML models into Intact's application landscape, optimizing data pipelines, and ensuring scalable, high-performance deployments.

This role requires a deep understanding of AI and ML frameworks, API development, and cloud-based AI services. The candidate will play a key role in mentoring junior engineers, influencing architectural decisions, and continuously evaluating emerging AI technologies.

The ideal candidate is highly technical, hands-on, and customer focused, with a strong understanding of how AI and ML can enhance operations across underwriting, pricing, claims analysis, fraud detection, and customer interactions. Some of the Senior AI / ML Engineer responsibilities include but are not limited to :

  • Design, develop, and maintain high-quality AI / ML solutions using the latest frameworks and technologies.
  • Design, develop, and deploy and maintain high-quality RAG models to improve the accuracy and relevance of AI-generated content
  • Evaluate and demonstrate AI technology trends, ensuring that Intact remains at the forefront of innovation.
  • Plan for maintenance, scaling, and continuous improvement of AI solutions.
  • Develop and optimize APIs and other integration solutions to embed AI capabilities into Intact's applications.
  • Work with cross-functional teams, including back-end and front-end developers, to seamlessly integrate AI into their solutions.
  • Mentor junior engineers, promoting best practices in AI / ML development, deployment, and security.
  • Identify and capitalize on opportunities to apply AI within Intact's broader technology ecosystem, including document processing, chat automation, predictive modeling, and digital interactions.
  • Maintain a strong focus on security and compliance when building AI-driven solutions.
  • Develop and deploy machine learning models for applications such as underwriting decisions, pricing, risk assessment, claims image analysis, predictive analytics, fraud detection, and more.
  • Fine-tune, implement, and monitor ML models to optimize performance.
  • Leverage data engineering expertise to structure and enhance AI models with robust data pipelines.

The expertise you bring

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 5 years of professional experience in AI / ML engineering or software development.
  • Strong Python development experience, particularly in API development using FastAPI or Flask.
  • Proven experience in developing AI Models, particularly in the context of RAG Model
  • Knowledge of Vector Databases and embedding Models for efficient similarity searches
  • Proficiency in SQL and NoSQL databases, and data pipeline tools and frameworks to support AI / ML workflows.
  • Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience with machine learning algorithms, including KNN, SVM, Decision Trees, and Gradient Boosting.
  • Knowledge of AI tools such as OpenAI, Anthropic, Llama, DeepSeek, Hugging Face, and LangChain.
  • Expertise in designing, training, and deploying ML models in cloud environments (Azure AI preferred).
  • Strong experience with data lakes, data warehouses, and data pipeline optimization.
  • Knowledge of NLP techniques, including text analysis, sentiment analysis, and summarization.
  • Familiarity with Agile development environments.
  • Excellent communication skills and ability to work with cross-functional teams.
  • Our salary ranges are determined by many factors including location, role, experience, and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires, but your recruiter will share more specific compensation information with you during the hiring process. The typical base salary range for this position is : $122,000 - $162,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Hoboken, NJ; and the New York City metro area, the base salary range is $142,000 -$166,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include :

  • Comprehensive medical, dental and vision insurance with no waiting period
  • Competitive paid time off programs
  • 401(k) savings and annual contributions of up to 12% of annual salary
  • Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits
  • Why choose Intact

    We live our Values : We are committed to acting with the highest of ethical standards through our five core values : integrity, respect, customer driven, excellence and social responsibility.

    Our commitment to Diversity : Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society.

    Manage your Time : What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance.

    Check out our Glassdoor reviews to see why people love working for Intact!

    Our promise to you

    Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself.

    In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can :

  • Shape the future : Help us lead an insurance transformation to better protect people, businesses and society.
  • Win as a team : Collaborate with inspiring people to do your best work every day and together, stand up for what is right.
  • Grow with us : Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow.
  • About Intact

    At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.

    LI-DNI

    Salary : $142,000 - $166,000

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