AI ML Engineer

We're looking for AI ML Engineers!
Responsibilities:
Assit in Architecting end-to-end ML pipelines from data preparation and model training to deployment and monitoring — ensuring scalability, efficiency, and compliance.
Evaluate and fine-tune state-of-the-art models and integrate them into enterprise systems such as Salesforce.
Guide retraining efforts to maintain model performance, fairness, and ethical standards.
Mentor junior engineers and provide technical leadership on best practices in ML model development, optimization, and MLOps.
Collaborate cross-functionally with product owners, data scientists, and business stakeholders to translate business needs into AI solutions.
Ensure AI governance and ethics by monitoring for bias, ensuring data privacy compliance, and adhering to responsible AI principles.
Stay ahead of industry trends, tools, and research to continuously innovate and improve AI capabilities within the organization.
Document architectures, workflows, and model lifecycles for transparency, reproducibility, and audit readiness.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related field (advanced degree preferred).
Proficient in Machine Learning Engineering or AI Solution Design, with demonstrated leadership or tech lead responsibilities.
Familiarity with CRM platforms like Salesforce
Understanding of data privacy, security, and ethical AI practices
Strong project management or agile delivery experience.
Proficient in Python, Bash, Docker, and modern CI/CD tools.
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

Work arrangement
Hybrid