Senior Machine Learning Developer

You'll work closely with product, engineering, and design teams to bring intelligent features to life, shaping the future of our AI-driven solutions. As a senior team member, you'll have the flexibility to influence the ML roadmap, ensuring our models continuously evolve to provide value to enterprise customers and their users.

If you’re excited about designing and implementing an AI-centered vision, building cutting-edge ML solutions, and seeing your work have a real impact, we’d love to hear from you. Apply today and help us push the boundaries of what’s possible with AI.

• Develop, fine-tune, and deploy NLP models, including LLMs (OpenAI, Hugging Face), for sentiment analysis, text classification, and domain-specific applications.
• Train and optimize pre-trained language models using custom datasets to meet business needs.
• Build scalable ML pipelines using AWS (S3, SQS, EC2, Lambda) for training, inference, and monitoring.
• Prototype, experiment, and document models using JupyterHub/Notebooks, ensuring reproducibility.
• Apply MLOps best practices, including CI/CD, model monitoring, and automated retraining workflows.
• Deploy and manage containerized ML models using Docker and Kubernetes for efficient scaling.
• Collaborate with data engineers, software engineers, and product teams to integrate ML solutions.
• Stay ahead of NLP and deep learning advancements by applying cutting-edge techniques.
• Contribute to Agile development, participating in Scrum ceremonies.
• Maintain clear technical documentation and best practice guidelines.
• Share expertise through client consultations, technical blogs, whitepapers, and knowledge-sharing initiatives.
• Expand professional knowledge by attending conferences, workshops, and industry events.

• Solid Python skills (Pandas, NumPy, PyTorch, Scikit-Learn, TensorFlow, Hugging Face).
• Hands-on experience fine-tuning and deploying LLMs (OpenAI, Hugging Face).
• Proficiency with SQL (Snowflake, MySQL) for large-scale datasets.
• Expertise in AWS (S3, SQS, EC2, Lambda) for scalable ML training and deployment.
• Experience with JupyterHub/Notebooks for prototyping and model development.
• Solid MLOps knowledge (CI/CD, model monitoring, retraining, automation).
• ML model integration into APIs and microservices.
• Familiarity with vector databases and embedding-based retrieval.
• Experience with Docker, Kubernetes, and containerized ML deployments.
• Knowledge of distributed computing frameworks (Spark, Ray, Dask).
• Proficiency with ML tracking tools (MLflow, Weights & Biases).
• Soft Skills:
  • Honesty and carries integrity to a high degree.
  • Autonomous, action-oriented, and entrepreneurial mindset.
  • Ability to translate technical needs into project plans and meet deadlines.
  • Solid communication skills for both technical and non-technical audiences.
  • Collaborative and open to working with diverse teams.
• Bonus Skill: 
  • Familiarity with Agentic workflows and/or modern AI agent development frameworks such as LangChain, AutoGen, OpenAI’s Assistants API, or others.

• Healthy medical, dental, and vision insurance for you and your family
• Generous Maternity, Paternity, and Adopter leave benefits with flexibility on when you use this benefit
• Compassionate Care Program with paid time off to care for family members
• Generous Bereavement Leave that also supports Pet Parents
• Canadian employees contribute to a pension plan. Perceptyx will provide an employer match for the pension.

Flexible Time Away 🏝 

• As hard as we work, we also know how essential it is to take time away to rest and recharge. We offer flexible paid vacation with the expectation that every team member enjoys at least 10 business days per calendar year.
• 15 paid holidays per calendar year.

Perceptyx In The News 📰 

• Perceptyx Announces Winners of 2024 EX IMPACT Awards
• Perceptyx Launches Activate, HR’s Missing Link Between Employee Insight and Impact
• Activate from Perceptyx Named a 2024 Top HR Tech Product Winner by Human Resource Executive

Perceptyx celebrates diversity and an inclusive environment. We focus on providing an environment of mutual respect where equal employment opportunities are available to all employees and applicants for employment. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Perceptyx’s policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All aspects of employment are decided on the basis of qualifications, knowledge, merit, and business needs.