We are looking for a Machine Learning Architect to collaborate with Data Scientists and the AI/ML community across Business Units (BUs), Data Engineering, Subject Matter Experts (SMEs), and technical leads.
The role involves evangelizing and translating business problems into scalable Machine Learning (ML) solutions across the client.
Responsibilities include defining model serving strategies such as batch, real-time, and streaming inference.
The architect will design and implement a Machine Learning Experimentation Platform, Hyperparameter Optimization (HPO), standardization of ML pipelines, and ML Metadata Storage.
The position requires developing and maintaining a feature repository, model governance, and compliance.
The architect will build and own the ML Portfolio based on the needs of the BUs.
Support for ML Infrastructure will be provided as an administrator on Databricks, Snowflake, and Sagemaker.
The role includes owning and publishing best practices.
Requirements:
Candidates must have 7+ years of experience in Machine Learning or related roles.
A strong background in ML System Architecture and Design is required.
Experience with supervised and unsupervised learning, classical ML techniques (e.g., time series, statistical modeling), and survival analysis is essential.
Proven work with churn prediction, sales forecasting, and user journey models using behavioral data is necessary.
Candidates should be skilled in data prediction and trend analysis, with the ability to understand model needs and their connection to business impact.
Hands-on experience with Databricks, Snowflake, and/or AWS SageMaker is required.
Solid experience in performance optimization and model monitoring in production environments is necessary.
Candidates must be comfortable working with and enhancing existing models as well as building them from scratch.
Benefits:
Flexible working hours are offered to accommodate personal schedules.
Employees can participate in the Mindera Annual Trip, sports, and sharing groups to connect and have fun.
Training and conferences are provided, allowing employees to create their own training plans.
Employees can choose the laptop and peripherals that best suit their needs.
The work environment promotes collaboration, risk-taking, decision-making, and open communication, fostering a politics-free atmosphere.
The culture values commitment, feedback, and empathy, allowing team members to work together on projects.
