Data and AI Intelligent Platform Support Engineer Job at Microsoft Corporation (Sydney)

Data Intelligence Data Architect

We are seeking a visionary Data Architect to lead the design, governance, and op...

Location

Serbia , Belgrade

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

8+ years in data architecture, data engineering, or enterprise data management
Strong experience in data integration architecture across complex systems
Expertise in data modeling (conceptual, logical, physical) and database technologies
Strong knowledge of cloud data platforms (AWS, Azure, GCP) and integration tools
Familiarity with data governance frameworks and regulatory compliance
Proficiency in SQL and Python for building data pipelines, performing data transformations, and implementing automation tasks

Job Responsibility

Develop and maintain the enterprise data architecture blueprint aligned with business strategy and AI product roadmaps
Define enterprise-wide data models, taxonomies, and standards for consistent data usage
Collaborate with business stakeholders to identify data-driven revenue opportunities including APIs, data products, and new service offerings
Design and oversee data integration solutions (ETL/ELT, APIs, streaming, event-driven architecture) across applications, platforms, and business units
Enable real-time and batch data flows to support operational and analytical systems
Ensure data accessibility across business units and external partners while adhering to data sovereignty and compliance laws
Implement data governance policies covering metadata management, data lineage, access control, and retention
Define data quality metrics and oversee data cleansing and validation initiatives
Define data stewardship roles and accountability structures
Select, implement, and manage enterprise data platforms (data lakes, API gateways, event streaming platforms)

Fulltime

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime

Software Engineer, Data Infrastructure

The Data Infrastructure team at Figma builds and operates the foundational platf...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
Experience designing and building distributed data infrastructure at scale
Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
A proven track record of impact-driven problem-solving in a fast-paced environment
A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
Excellent technical communication skills, with experience working across both technical and non-technical counterparts
Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence

Job Responsibility

Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage

What we offer

equity
health, dental & vision
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

Artificial Intelligence Engineer

Join a team of experts dedicated to delivering innovative solutions and driving ...

Location

Italy , Milano; Treviso; Venezia

Salary:

Not provided

Arsenalia

Expiration Date

Until further notice

Requirements

Knowledge of AI technologies and platforms (AWS, Azure)
Familiarity with Natural Language Processing and prompt engineering
Experience in developing applications on the Microsoft platform
At least 2 years of development experience with C# / .NET
Curiosity and interest in emerging technologies
Strong communication and interpersonal skills
Good command of English (B2 level)
Availability for short- and medium-term business travel

Job Responsibility

Design and architect AI-based solutions using the latest Microsoft technologies
Support the sales team throughout the AI solution design and sales process
Lead the analysis of client processes and requirements
Design and implement innovative AI solutions for mid-sized and large companies within Digital Transformation initiatives
Stay in touch with the latest innovations in the Microsoft Azure cloud platform
Explore additional Microsoft platforms and technologies such as Dynamics 365, Microsoft 365, and the Data Platform
Stay up to date with advancements in generative AI, LLMs, and Microsoft’s AI ecosystem (e.g., Copilot, Azure OpenAI)
Participate in client meetings and workshops to understand business needs and translate them into technical architectures
Prepare and deliver technical presentations and demos to support the sales process
Act as a trusted advisor for clients, guiding them through the adoption of AI technologies and Microsoft platforms

What we offer

Welfare Package
Worklife Kit
Empowering People
Open Space, Open Mind
Career Path
Learning & Development

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

Ai Solution Engineer

This role exists to bring AI-powered automation into real-world use across our c...

Location

Canada , Mississauga

Salary:

139500.00 - 150000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience
Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist
2–5 years of experience in software or cloud engineering
Exposure to AI agent orchestration or multi-agent systems
Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services)
Familiarity with retrieval-augmented generation (RAG) or vector database integration
Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation
Proficient in Python, C#, or JavaScript/Type Script
3-5 years' experience working in SaaS or enterprise environments
Familiar with CI/CD pipelines, Git, and cloud deployment practices

Job Responsibility

Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, and Copilot Studio
Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration
Collaborate with cross-functional teams (integration, implementation, product, support) to deliver high-quality, scalable AI-driven solutions
Develop APIs, scripts, and tools to connect LLM-based agents with existing enterprise systems
Support testing, deployment, monitoring, and continuous improvement of AI workflows in production
Stay current with Microsoft’s AI platform roadmap and emerging industry trends
Contribute to the evolution of our internal AI delivery model and promote AI best practices across teams

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition

Fulltime

Artificial (AI) Engineer

VELOX is hiring an AI Developer to help design and implement intelligent systems...

Location

United States , Boise

Salary:

Not provided

VELOX Media

Expiration Date

Until further notice

Requirements

Strong proficiency in Python (Pandas, NumPy, scikit-learn, etc.)
Experience with deep learning frameworks such as TensorFlow or PyTorch
Hands-on experience with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral)
Understanding of data pipelines, model deployment, and performance monitoring
Experience working with APIs and integrating ML models into production systems
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation
Comfort working in cloud environments (GCP, AWS, or Azure)
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
3+ years of experience in applied AI/ML roles
Track record of launching AI tools or systems into production

Job Responsibility

Research, design, and deploy AI/ML models that drive value across client-facing and internal applications
Build tools that support predictive analytics, natural language querying, and campaign automation
Collaborate with product and engineering teams to integrate AI functionality into web platforms
Integrate AI solutions with our PHP/Laravel backend and MySQL databases via REST APIs or microservices
Write clean, scalable code for inference pipelines, model training, and testing environments
Monitor model performance and retrain or refine when necessary
Stay ahead of LLMs, vector DBs, and open-source innovations to enhance our AI roadmap
Contribute to a long-term AI strategy that makes VELOX more automated, intelligent, and insightful

What we offer

Competitive compensation and performance bonuses
Health insurance & 401k options
Paid vacation and holidays
Casual dress and regular team events
On-site gym and personal trainer access
Kombucha on tap

Fulltime

AI Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...

Location

Georgia , Tbilisi

Salary:

Not provided

Vention

Expiration Date

Until further notice

Requirements

Strong experience in AI/ML development and backend engineering
Proficiency in Python and frameworks like FastAPI or Flask
Hands-on experience with LLMs, prompt engineering, and orchestration frameworks (LangChain, LlamaIndex)
Knowledge of Databricks Unity Catalog and MLOps practices
Familiarity with vector databases and semantic search
Ability to design secure, scalable APIs and real-time services
Full-stack development experience and collaboration skills

Job Responsibility

Design and build production-grade AI/ML systems, APIs, and intelligent agents for healthcare automation
Implement secure, scalable RESTful APIs and WebSocket services for real-time interactions
Work with Large Language Models (OpenAI, Anthropic, etc.), apply prompt engineering, and stream token-level responses
Use LangChain, LlamaIndex, or similar frameworks for LLM-based applications
Develop backend services in Python (FastAPI/Flask) and collaborate with frontend engineers on interactive UI components
Connect intelligent systems with vector databases and semantic search platforms for context-aware reasoning
Train, deploy, and monitor ML models with governance and versioning via Databricks Unity Catalog
Support CI/CD pipelines for model lifecycle and ensure audit readiness
Work with global data engineering teams to access structured and unstructured datasets securely

What we offer

EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
24 working days of vacation per year
Expanded medical insurance
Corporate getaways & team building activities
Fitpass sport program
Support for significant life events
Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
Referral bonuses for bringing in new talent

Fulltime

Data and AI Intelligent Platform Support Engineer

Microsoft Corporation

Location:
Australia , Sydney

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 25, 2026

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