Ai and data engineer Job at Capstone IT Staffing

Senior Data and AI Engineer

Crucial contributor role with the Data and Ai Engineering team. You will be resp...

Location

Australia , Surry Hills; Norwest

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

5+ years of dedicated hands-on experience in data engineering or related software engineering roles
Direct exposure to building and operating MLOps platforms (preferably Vertex AI) and supporting production-grade machine learning systems
Deep technical proficiency in building and optimizing data/AI solutions on a major cloud platform (GCP highly desirable)
Strong experience with core cloud services
Expert coding skills in essential languages such as Python and SQL
Experience in designing and building Agentic AI systems or similar autonomous software agents
Strong understanding of data governance, data quality, and security frameworks
A passion for retail and creating great experiences for families

Job Responsibility

Architect, build, and manage our core data ingestion, processing, and warehousing solutions on Google Cloud Platform (GCP)
Building and operating a robust MLOps framework on Vertex AI to automate the deployment, monitoring, and management of machine learning models
Ensure the reliability, scalability, and security of our data platforms, managing CI/CD, and implementing data governance standards
Designing, building, and deploying autonomous AI agents that can reason, plan, and execute complex tasks to automate and optimise core business processes
Mentor junior engineers and analysts and champion engineering best practices

What we offer

Team discounts across our range of Woolworths Group brands
Robust rewards program
12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months
24/7 access to the Sonder app
Progressive and competitive leave policy

Data Engineer and AI Specialist

Location

India , Tirupati, Bangalore

Salary:

Not provided

Sithafal

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in an Information Technology or related program
Previous professional experience as a data engineer or in a similar role
Prior hands-on experience with Druid AI platform
Prior work experience in designing and building complex machine learning systems for natural language processing applications
Advanced familiarity with Kubernetes (AKS) and NGINX ingress controller for Kubernetes
Advanced knowledge in Python or another programming language and at least one machine learning framework
Prior experience in developing training materials and providing training to the user groups
Technical expertise with data models, data mining, and segmentation techniques
Ability to obtain Public Trust Clearance

Job Responsibility

Integration of AI Chatbot system
Updating knowledge articles within the AI and ability to train the solution
Capability to employ a variety of qualitative and quantitative analysis techniques to continually improve the user experience
Consistent collaboration with cross-functional teams and stakeholders
Ability to improve the scalability & performance of machine learning systems that handle high loads
Ability to analyze and interpret raw data
Developing and maintaining datasets
Improving data quality and efficiency
Prior hands-on experience working with Druid AI platform
Previous experience maintaining and enhancing Druid Artificial Intelligence (AI) Chatbot capability within an application

Fulltime

Senior Software Engineer- AI and Data Governance

At GEICO, we offer a rewarding career where your ambitions are met with endless ...

Location

United States , Palo Alto

Salary:

100000.00 - 215000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Advance knowledge of at least one modern OOP languages such as Go, Python, Java, etc.
Advance knowledge of web technologies such as HTML, CSS, JavaScript is preferred
Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch, etc.
Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus
Experience building and configuring flows, and process builders
Strong understanding of web service integration (GRPC / REST) and enterprise middleware integration tiers
Ability to articulate channel dataflow and process flow including email, messaging, chat, mobile Push and SDK's
Excellent communication skills – needs to be able to lead projects from the front and interact with clients and sponsors on a regular basis
Experience partnering with engineering teams and transferring research to production
Experience with continuous delivery (CI/CD) and Infrastructure as Code

Job Responsibility

Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Develop and execute technical software development strategy for the Platform Engineering domain including Service Management, Business Continuity, Recovery, Incident Response and Paging platforms
Accountable for the quality, usability, and performance of the solutions
Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes
Consistently share best practices and improve processes within and across teams
Willing to take on-call and operational support
Experience designing recommendation systems, ranking, personalization, similarity search and embeddings
Experience with NLP, LLMs and RAG, as well as translating natural language into graph or data queries
Experience designing scalable AI systems and Data pipelines

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Data engineer AI and Analytics - Vice president

We are seeking a highly skilled and forward-thinking Vice President to lead our ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of technology experience, with a significant track record in wealth management technology at leading financial institutions
Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server)
Extensive experience with analytical data platforms, data warehousing, and data lakes (e.g., Snowflake, BigQuery, Redshift, Hadoop ecosystem)
Hands-on experience with the data engineering aspects of AI/ML, including feature engineering, data preparation for model training, and deploying models into production pipelines. Familiarity with MLOps principles
Proven track record of designing, building, and operating mission-critical, real-time RESTful APIs at scale
Strong data modeling skills for both transactional and analytical use cases
Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
Proven ability to lead, mentor, and manage a high-performing engineering team
A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
The ability to maintain a holistic, end-to-end view of a complex data ecosystem, understanding the flow of data from real-time transaction to analytical insight

Job Responsibility

Unified Data Platform Ownership:Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the unified client and account data platform, encompassing both high-throughput OLTP systems and large-scale OLAP analytical stores
AI & Advanced Analytics Enablement:Pioneer the application of AI/ML models on core client and account data to generate actionable insights, identify patterns, and create intelligent features for advisor and client applications. Partner with data science teams to provide them with high-quality, curated data
Real-Time API Management:Oversee the entire lifecycle of the high-throughput, low-latency APIs that provide real-time data to advisor workstations, client-facing portals, and other critical applications, ensuring they are performant, reliable, and secure
Data Integrity & Scale:Take ultimate responsibility for the integrity, availability, and performance of massive volumes of data across both transactional and analytical systems
Measurement & Analytics:Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, from database performance and API latency to data quality and the efficacy of AI models
End-to-End Ecosystem View:Serve as the subject matter expert for the entire client and account data ecosystem, from the foundational OLTP databases and real-time APIs to the analytical data warehouses/lakes and the AI/ML models they feed
Technical Strategy:Partner with global architects and business leaders to define the technical roadmap for the core data platforms, including strategies for data replication, ETL/ELT processes, and the integration of AI/ML capabilities

Fulltime

Senior AI Platform Engineer - Data and Knowledge

We’re hiring a Senior AI Platform Engineer (Knowledge & Data) to build and own t...

Location

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

5+ years of experience in Python backend engineering and systems design experience
Experience shipping AI-powered or LLM-integrated backend systems
Experience with vector DBs (Qdrant/Pinecone/Chroma/etc.)
Understanding of embeddings, chunking, and retrieval strategies
Experience building search or retrieval systems over unstructured data
Comfort working across multiple layers (services, data, infra, AI tooling)

Job Responsibility

Build scalable backend services and internal APIs for the AI platform
Integrate LLMs and retrieval into reliable, production-ready workflows
Build knowledge ingestion pipelines for LLMs (documents, APIs, semi-structured data)
Design chunking and embedding approaches together with vector DB data models and indexing strategies
Implement retrieval pipelines (semantic, keyword, hybrid) and caching
Contribute to shared infrastructure: CI/CD, observability, deployments

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrollment program
Take what you need PTO

Data and AI Intelligent Platform Support Engineer

Within CE&S, the Customer Service & Support (CSS) organization builds trust and ...

Location

Australia , Sydney

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Proficiency in reading, writing and speaking in Mandarin and English
Passionate for customer-facing tasks, and patient for helping others
Proven technical problem solving and troubleshooting skills, with the ability to understand and summarize the problem quickly
Strong interpersonal and communication skills
Ability to work independently with minimal management supervision and raise risk/asks actively and efficiently
Familiar with at least one of these programming languages: Python, JavaScript, C#, Java, R, C++
Basic knowledge for networking, and popular cloud concepts like docker, computer clusters, Kubernetes, RESTful API, etc
Any work experience in one of these technologies: AI, OpenAI, Machine Learning
BS or MS Degree in computer science, IT services, or the equivalent in work experience
Ability to meet Microsoft, customer and / or government security screening requirements are required for this role

Job Responsibility

You own, investigate and solve customer technical issues. You collaborate within and across teams, leveraging troubleshooting tools and practices
You lead or participate in building communities with peer delivery roles and, where appropriate, share your knowledge
You develop specific technical and professional proficiency to enable you to resolve customer issues, through training and readiness
You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements

Fulltime

Data and AI Intelligent Platform Support Engineer

As a Technical Support Engineer, you will own, troubleshoot, and solve customers...

Location

Australia , Sydney

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Proficiency in reading, writing and speaking in Mandarin and English
Passionate for customer-facing tasks, and patient for helping others
Proven technical problem solving and troubleshooting skills
Strong interpersonal and communication skills
Ability to work independently with minimal management supervision
Proficiency and experience with: Familiar with at least one of these programming languages: Python, JavaScript, C#, Java, R, C++
Basic knowledge for networking, and popular cloud concepts like docker, computer clusters, Kubernetes, RESTful API, etc
Any work experience in one of these technologies: AI, OpenAI, Machine Learning
BS or MS Degree in computer science, IT services, or the equivalent in work experience

Job Responsibility

Response and Resolution: You own, investigate and solve customer technical issues
Readiness: You lead or participate in building communities with peer delivery roles and share your knowledge
You develop specific technical and professional proficiency to enable you to resolve customer issues
Product/Process Improvement: You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements

Fulltime

Specialist, Data and AI - AI Platforms

The Specialist, Data & Analytics – AI Platforms acts as a technical steward with...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

University degree or technical certification in Engineering, Computer Science, Mathematics, Statistics, or other related technical fields
5+ years of IT experience in large enterprise environments
Experience with technologies supporting AI/ML environments, including: Azure DevOps & GitHub, Azure Kubernetes Service, Databricks, Azure Machine Learning, Azure AI Foundry, Azure Data Factory, Azure Function Apps, Azure Storage Accounts, Key Vault, SQL Server Databases, Service Bus
Excellent communication skills (written and verbal)
Strong problem solving and analytical abilities
Proven capability to work effectively in team driven, collaborative environments
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment

Job Responsibility

Integrate AI products, machine learning models, and data pipelines into enterprise systems, ensuring they are stable, scalable, and aligned with reference architecture
Configure and maintain connectivity between AI platforms (such as Databricks or Dataiku) and upstream/downstream systems
Support the onboarding of new AI products into shared platforms and contribute to continuous improvement of integration processes
Deploy, configure, and maintain AI workloads within Microsoft Azure, adhering to enterprise cloud standards
Manage compute, storage, networking, and other Azure resources needed for AI platforms
Contribute to environment governance by applying deployment patterns and enforcing development/test/production separation
Support infrastructure as code processes using approved templates and CI/CD pipelines
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards
Support model packaging, deployment, versioning, rollbacks, and promotion across environments
Integrate monitoring, observability, and alerting tools into AI workloads to ensure operational health

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Ai and data engineer

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