AI ML Tech Lead

We are seeking a Technical Lead AI/ML to play a pivotal role in the design development and delivery of Assents AI and machine learning solutions including the development of Assents next generation of Agentic AI systemsintelligent autonomous and context-aware solutions that reason over Assents deep regulatory and product data ecosystem. This role combines technical depth with leadership and mentorship ensuring the team builds scalable reliable and responsible AI systems that enhance Assents products and data platform.

You will collaborate with Data Science Data Engineers MLOps and Product teams to translate complex business challenges into AI-powered solutions guide model architecture decisions and oversee end-to-end developmentfrom data preparation through deployment and monitoring.

As a technical leader you will help establish Assents AI/ML engineering standards accelerate adoption of Generative AI capabilities and ensure all models align with Responsible AI principles transparency and governance requirements.

Key Requirements & Responsibilities: 

• Lead the design and implementation of AI/ML and Generative AI systems including model development fine-tuning evaluation and deployment across multiple business domains.

• Provide technical direction and mentorship to ML engineers data scientists and annotation teams ensuring adherence to best practices and fostering a culture of quality and experimentation.

• Collaborate cross-functionally with Product Data and Engineering teams to define use cases contracts success metrics and delivery milestones aligned with business and regulatory goals.

• Architect and optimize end-to-end pipelinesfrom data ingestion and feature engineering to model training validation and monitoring in production environments.

• Lead initiatives in Generative AI including Large Language Model (LLM) evaluation retrieval-augmented generation (RAG) prompt engineering fine-tuning and output quality assessment.

• Champion Responsible AI practices embedding fairness transparency and explainability into data collection model design and deployment workflows.

• Establish and maintain technical standards for python code quality model development experiment tracking version control and CI/CD pipelines to ensure reproducibility and scalability.

• Partner with MLOps and Data Engineering teams to integrate model observability drift detection and monitoring into deployed systems.

• Collaborate with data governance and security teams to ensure data integrity compliance and adherence to corporate security and privacy policies.

• Stay ahead of industry trends in AI LLMs and applied ML evaluating new techniques and tools for their applicability to Assents roadmap.

• Contribute to planning and prioritization ensuring the AI/ML technical roadmap supports product innovation while maintaining operational reliability.

• Be familiar with corporate security policies and follow the guidance set out by processes and procedures of Assent.

Qualifications :

We strongly value your talent energy and passion. It will also be valuable to Assent if you have the following qualifications

• 10 years of experience in machine learning engineering applied AI or data science with at least 2 years in a technical leadership or team lead role.

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence Machine Learning or a related technical field. Advanced certifications in AI/ML Generative AI or AWS are considered an asset.

• Proven experience developing and deploying Agentic and Generative AI applications including LLM integration prompt engineering fine-tuning and RAG-based retrieval workflows.

• Strong proficiency in Python (Pandas PyTorch TensorFlow scikit-learn) and SQL with a deep understanding of model training optimization and evaluation at scale.

• Hands-on experience with cloud-based MLOps tools and infrastructure (e.g. AWS SageMaker ECS Lambda Step Functions EventBridge S3 or similar).

• Experience designing AI pipelines and architectures for both traditional ML and generative models.

• Working knowledge of vector databases embeddings and semantic search.

• Experience with agentic AI protocols and orchestration frameworks such as Model Context Protocol (MCP) LangChain Agents Semantic Kernel or DSPy enabling seamless interaction between models tools and enterprise data sources.

• Experience implementing Responsible AI principles including fairness explainability bias detection and governance.

• Familiarity with model observability tools and techniques for monitoring model drift and performance degradation.

• Strong collaboration and communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

• Passion for mentoring engineers fostering technical excellence and promoting ethical trustworthy AI innovation.

Additional Information :

Life at Assent

Wellness: We believe that you and your familys well being is important. As a result we offer vacation time that increases with tenure comprehensive benefits packages (details vary by country) life leave days and more.

Financial Benefits: Its not all about the money well its a little about the money. We understand that financial health is important and we offer a competitive base salary a corporate bonus program retirement savings options and more.

Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning: At Assent curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent we are committed to growing and sustaining an environment where our team members feel included valued and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences and fostering a culture of belonging where all team members are included treated with dignity and respect promoted on their merits and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process please contact and we will be happy to help.  

Remote Work :

No

Employment Type :

Full-time