MLOps Architect (AWS CDK Focus) Job at Realign (Minneapolis)

MLOps Architect (AWS CDK Focus)

We are looking for a highly skilled MLOps Architect to design, implement, and ov...

Location

United States , Atlanta

Salary:

77.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

7+ years in cloud architecture, DevOps, or data engineering roles
Overall 10-12+ years of exp reqd
Strong hands-on experience with AWS CDK in Typescript or Python (required)
Deep knowledge of AWS DataZone, SageMaker, Glue, Lake Formation, IAM, Step Functions, CodePipeline, and CloudWatch
Experience architecting MLOps pipelines and automating deployments in AWS
Proficient in containerization using Docker, ECS, or EKS
Working knowledge of data governance, metadata management, and data security/compliance frameworks (e.g., HIPAA, GDPR)
Strong programming skills in Python and scripting tools for automation
Understanding of data privacy, compliance, and enterprise governance frameworks
Excellent communication and stakeholder management skills

Job Responsibility

Architect and deploy AWS DataZone for enterprise-wide data discovery, cataloging, and governance using AWS CDK
Design and build CI/CD-enabled MLOps pipelines to manage the end-to-end ML lifecycle: data prep, training, model deployment, monitoring, and retraining
Use AWS CDK to manage infrastructure-as-code across data and ML workflows (e.g., SageMaker, Lambda, S3, Glue, DataZone, Step Functions)
Integrate DataZone with Lake Formation, Glue Data Catalog, and Redshift for centralized governance and access control
Define policies and automation for data access requests, lineage, and classification using DataZone and IAM roles
Ensure security, compliance, and auditability across all components using least-privilege principles and automation
Collaborate with Data Engineers, MLOps Engineers, Data Scientists, and Security teams to design end-to-end solutions
Drive adoption of reusable CDK constructs/modules for consistent deployment and governance of data and ML services

Senior ML Platform Engineer

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP e...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field
or equivalent practical experience
5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps
Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs
Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation)
Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks
Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes)
Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems
Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment
Passion for AI and automation to solve real-world problems and improve operational workflows

Job Responsibility

Architect, build, own, and operate scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility
Create, support, and maintain core MLOps infrastructure (e.g., MLflow, feature store, experiment tracking, model registry), ensuring reliability, scalability, and long-term sustainability
Develop, evolve, and operate MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale
Implement and continuously maintain end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability
Partner closely with Data Science, Sensor Intelligence, and Data Platform teams to operationalize and support model development, deployment, and monitoring workflows
Build, manage, and maintain both real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members
Design, implement, and own automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms
Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles
Contribute to and maintain internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation
Continuously evaluate and integrate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency, reliability, and scale

What we offer

equity
benefits

Fulltime

New

Solutions Architect

We are seeking an experienced Solutions Architect with a strong infrastructure a...

Location

United States , Los Angeles

Salary:

Not provided

Tech Holding

Expiration Date

Until further notice

Requirements

7+ years of experience in solutions architecture, systems architecture, infrastructure architecture, or a related role
Strong understanding of enterprise application architecture and distributed systems
Experience analyzing or reverse engineering existing production systems and infrastructure environments
Familiarity with infrastructure concepts including application hosting environments, network connectivity, and system dependencies
Experience creating architecture diagrams and technical documentation for complex systems
Strong analytical and troubleshooting skills with the ability to quickly understand unfamiliar systems
Excellent communication skills with the ability to translate complex technical environments into clear documentation
Bachelor’s Degree in Computer Science or relevant years of work experience

Job Responsibility

Reverse engineer existing enterprise applications to understand system architecture, hosting environments, and infrastructure dependencies
Produce high-level architecture documentation including system diagrams, data flows, network flows, and service interactions
Analyze how applications are deployed and hosted across infrastructure environments
Identify network communication patterns including service endpoints, integration points, and connectivity requirements such as ports and protocols
Document infrastructure requirements, service design considerations, and system capacity needs
Work closely with engineering and infrastructure teams to validate architectural understanding of existing systems
Create architecture artifacts that clearly describe how systems interact and operate in production environments
Identify potential architectural risks, performance constraints, and system design limitations

New

Care Management Operations Analyst

The Care Management Operations Analyst serves as a subject matter expert and pro...

Location

United States

Salary:

72800.00 - 91000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

Bachelor’s degree preferred, or minimum three years of formal training experience in health care service capacity
Demonstrated success leading or contributing to cross‑functional process improvement initiatives
Experience developing or supporting automation, workflow optimization, or reporting enhancements
Ability to translate ambiguous operational needs into clear process or technical requirements
Experience supporting complex implementations, regulatory changes, or client onboarding activities
Working knowledge of standard office software and systems
The ability to work on multiple screens, and proficient typing skills
Proficiency in software applications including, but not limited to, Microsoft Word, Microsoft Excel, and Outlook
Ability to speak clearly and convey complex or technical information in a manner that others can understand, as well as ability to understand and interpret complex information from others
Ability to work independently and utilize written resources to solve problems

Job Responsibility

Analyze and support end-to-end non-clinical workflows across CM, CDM, and UM programs
Translate operational and clinical requirements into process maps, functional requirements, SOPs, and job aids
Identify workflow gaps, inefficiencies, and risks impacting throughput, turnaround time, or documentation quality
Support intake, referral, authorization, follow-up, and task management workflows
Develop and maintain operational reporting, dashboards, and performance metrics
Support workflow automation and system optimization initiatives
Support planning, testing, and release activities for system and process changes
Support implementation of new tools, enhancements, regulatory requirements, or client initiatives
Partner with clinical, quality, IT, and analytics teams to ensure operational alignment
Support audit and compliance readiness through process standardization and traceability

What we offer

Competitive base salary and benefits effective day one
Comprehensive medical and dental through our own health solutions
Unlimited PTO
Mental health support, retirement planning, and financial protection
Professional development with clear career progression and learning budgets
Mission-driven culture where diverse perspectives drive real impact on people's health

Fulltime

New

Multi-Entity Staff Accountant

We are looking for a highly skilled and detail-oriented Multi-Entity Staff Accou...

Location

United States , Carlsbad

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong understanding of accounting principles and practices
Minimum of two years' experience with QuickBooks Online in an environment that requires attention to detail
Demonstrated expertise in accounts payable and accounts receivable processes
Familiarity with payroll systems and monthly financial close procedures
Advanced proficiency in Excel, including pivot tables, lookup functions, and data analysis
Ability to manage multiple client accounts and meet strict deadlines
Accounting Degree
Comfort with using AI tools to improve productivity and efficiency

Job Responsibility

Perform comprehensive bookkeeping for multiple client entities, ensuring accuracy in financial records
Record and reconcile transactions in QuickBooks Online, including bank and credit card statements
Process vendor invoices, manage approvals, and reconcile statements for accounts payable
Generate and send client invoices, monitor collections, and reconcile accounts receivable aging reports
Assist in payroll processing, ensuring compliance with tax regulations and accurate reconciliations
Prepare and close monthly financial statements, including profit and loss, balance sheet, and cash flow reports
Utilize AI tools to streamline reconciliation processes and draft detailed financial summaries
Analyze large Excel datasets using advanced formulas and pivot tables to identify discrepancies
Manage multiple client projects simultaneously, ensuring deadlines are met and communication is proactive
Develop and maintain financial models and templates to enhance reporting accuracy

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

New

Machine Learning Engineer

We are seeking a talented Machine Learning Engineer, for a project-based assignm...

Location

Mexico

Salary:

Not provided

Tech Holding

Expiration Date

Until further notice

Requirements

5+ years of professional experience in machine learning engineering or a related role
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
Experience building, training, and deploying machine learning models in production environments
Experience working with data pipelines and large-scale datasets
Proficiency with cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps practices
Strong understanding of data structures, algorithms, and software engineering principles
Experience with large-scale data processing frameworks (Spark, Dask, or similar)
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (or equivalent experience)

Job Responsibility

Design, develop, and deploy machine learning models to solve business problems across large-scale datasets
Build and optimize machine learning pipelines for data preparation, model training, and inference
Collaborate with data engineers and software engineers to develop scalable ML infrastructure and pipelines
Research and implement modern machine learning techniques, including deep learning and large language models where appropriate
Work closely with product and cross-functional teams to translate business requirements into technical solutions
Deploy and maintain machine learning models in production environments
Monitor model performance, conduct experiments and A/B testing, and continuously improve model accuracy and reliability
Contribute to the team's engineering best practices, including code reviews, documentation, and knowledge sharing

What we offer

Remote Work Opportunitity

New

Mailroom Assistant

We are looking for a detail-oriented Mailroom Assistant to join our team on a co...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Previous experience in a mailroom or administrative support role
Strong organizational skills and attention to detail
Ability to handle physical tasks, such as lifting and moving packages
Familiarity with mail processing equipment and procedures
Proficiency in basic computer applications for record-keeping
Excellent communication skills to interact with team members and external contacts
Ability to work independently and manage time effectively
High school diploma or equivalent required

Job Responsibility

Sort and distribute incoming mail to the appropriate departments or individuals
Prepare outgoing mail, ensuring proper labeling and postage
Maintain accurate records of mailroom activities and deliveries
Coordinate with couriers and delivery services for special shipments
Ensure mailroom supplies are adequately stocked and organized
Monitor mailroom equipment and report any issues for repair or replacement
Assist with packaging and shipping tasks when necessary
Respond promptly to inquiries regarding mail or package statuses
Implement procedures to improve mailroom efficiency and organization

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

New

Solutions Architect

We are seeking an experienced SAP Solution Architect to spearhead the Plan to De...

Location

United States

Salary:

152000.00 - 209000.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business, Information Technology, Engineering, or a related field
advanced degree preferred
7+ years of experience as an SAP Business Analyst, with at least 3 years in a lead role supporting Plan to Produce processes
Expertise in SAP modules such as PP (Production Planning), QM (Quality Management), and MM (Materials Management)
experience with SAP S/4HANA is a plus
Proven experience integrating SAP with LIMS, WMS, MES, and QMS in a manufacturing or life sciences environment
Strong understanding of GxP regulations (e.g., 21 CFR Part 11, GMP) and their application to manufacturing and quality processes
Experience with in-house and contract manufacturing workflows, including batch management and material traceability
Excellent project management skills, with proficiency in tools like MS Project, Jira, or similar
Strong analytical, problem-solving, and communication skills to bridge business and technical teams

Job Responsibility

Solution Design, Implementation & Integration: Responsible for designing, describing, and managing SAP solution design of SAP modules (e.g., PP, QM, MM) to support end-to-end Plan to Deliver processes, including production planning, shop floor execution, quality management, and material management
Facilitate integration between SAP and boundary applications (LIMS, WMS, MES, QMS) to ensure data consistency, process alignment, and real-time visibility across manufacturing, quality operations, and warehouse processes
Collaborate with cross-functional teams and business stakeholders to map and optimize business processes, ensuring compliance with GxP standards and regulatory requirements (e.g., FDA, EMA) and upholding “fit to standard” design principles in alignment with organizational goals
Develop and maintain functional specifications, process flows, integration plans and system configurations to ensure PTD processes scalability, reliability, and performance
Review configurations and deployments to maintain quality standards
Create clear, concise decision rationale documents balancing innovation with practicality, considering factors like cost, support, and compatibility with global end to end designs
Effectively communicate complex technical concepts to non-technical stakeholders and multifaceted business processes to technical stakeholders
Manufacturing Support: Support both in-house and contract manufacturing operations by configuring SAP solutions to manage production schedules, capacity planning, and material traceability
Ensure SAP configurations align with manufacturing workflows, including batch management, shop floor control, and contract manufacturing processes
Quality Control & Assurance: Oversee the implementation of SAP Quality Management (QM) module to support quality control and assurance processes in a GxP environment

What we offer

company-sponsored medical, dental, vision, and life insurance plans
paid time off
discretionary annual bonus
discretionary stock-based long-term incentives

Fulltime

MLOps Architect (AWS CDK Focus)

Realign

Location:
United States , Minneapolis

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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