Senior AI Platform Engineer - Data and Knowledge Job at MaintainX

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

Senior Software Engineer, AI Platform and Enablement

We're building a next-generation AI-powered platform and web application for cre...

Location

United States , San Francisco

Salary:

180000.00 - 286000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

Experience in deploying and managing AI models in production
Experience with the tools of large volume data pipelines like spark, flume, dask, etc.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes)
Knowledge of DevOps and MLOps best practices
Strong problem-solving abilities and excellent communication skills

Job Responsibility

Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs
Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure
Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient
Optimize and scale our models and algorithms for efficient inference
Deploy, monitor, and manage AI models in production

What we offer

Generous healthcare package
401k matching program
Catered lunches
Flexible vacation time

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover: validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Senior Solution Engineer - Cloud & AI Data Platform

Are you insatiably curious, deeply passionate about the realm of databases and a...

Location

United States , Multiple Locations

Salary:

106400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR 5+ years technical pre-sales or technical consulting experience OR equivalent experience
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Job Responsibility

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft's cloud platforms
Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products
Maintain deep knowledge in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL
Maintain and grow knowledge in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions
Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
Embody our culture and values

What we offer

Certain roles may be eligible for benefits and other compensation

Fulltime

Cloud Solution Architect and Senior Cloud Solution Architect - Data and AI

We are looking for Cloud Solution Architect (CSA) and Senior Cloud Solution Arch...

Location

United States , Multiple Locations

Salary:

85100.00 - 169800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Authorization to work in the United States that does not now or in the future require employer sponsorship
1+ years of experience with AI/ML and/or Generative AI technology
2+ years of customer facing experience providing recommendations to, or collaborating with, mid-to-senior level executives to address and advance technology transformation initiatives, entablements, and outcomes, including Data and AI solutions
2+ years of enterprise experience in ANY of the following: Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB

Job Responsibility

Seek to understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners
Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise
Deliver according to MS best practices & using repeatable Intellectual Property (IP)
Apply technical knowledge to architect and design solutions that meet business and IT needs, create AI roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate
Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements
Maintain technical skills and knowledge, keep up to date with market trends and competitive insights
collaborate and share with the AI technical community while educating customers on Azure platform
Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications

Fulltime

Senior Data Engineer - AI Focused

At Doctolib, we're on a mission to transform healthcare through the power of AI....

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. degree in Computer Science, Data Engineering, or a related field
5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
Strong experience with the GCP data ecosystem
Proficiency in Python and SQL, with experience in data pipeline orchestration (e.g., Airflow, Dagster, Cloud Composer)
Deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
Experience designing data architectures for RAG, embeddings, or model training pipelines
Knowledge of data governance, security, and compliance for sensitive or regulated data
Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning (extract snapshots, change tracking, reproducibility)
Familiarity with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
A collaborative mindset and passion for building the data foundations of next-generation AI systems

Job Responsibility

Ensure high standards of data quality for AI model inputs
Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases
Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models
Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently
Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability
Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption
Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI)
Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets
Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: additional leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of a sport club membership or a creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

Senior AI Data Engineer

We are looking for a Senior AI Data Engineer to join a high-impact AI product in...

Location

United States

Salary:

Not provided

Velvetech

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering / ML Engineering / AI Engineering
Strong programming skills in Python
Hands-on experience with PyTorch (training and deploying deep learning models)
Experience working with Vertex AI or similar ML platforms (GCP preferred)
Proven experience with vector databases (Milvus, Pinecone, or similar)
Strong knowledge of: Feature engineering techniques, Model evaluation and validation frameworks, Predictive inference systems
Experience with multiple database paradigms: Relational (PostgreSQL), Time-series (InfluxDB), Graph (Neo4j)
Solid understanding of embeddings and semantic/vector search systems
Experience implementing model lifecycle management, including: Drift detection, Monitoring, Governance
Strong understanding of scalable system design and performance optimization

Job Responsibility

Own and develop the biometric extraction model lifecycle (training, validation, deployment)
Design and maintain a vector memory layer using tools such as Milvus or Pinecone
Build and optimize predictive inference services for real-time and batch use cases
Develop and maintain data pipelines for PFM (Personal Financial Management) data preparation
Implement advanced feature engineering frameworks and model evaluation pipelines
Work with Vertex AI for model training, deployment, and orchestration
Manage and integrate heterogeneous data storage systems: InfluxDB (time-series data), PostgreSQL (relational data), Neo4j (graph data)
Develop vector embeddings pipelines and similarity search logic
Implement model governance processes: Drift detection and monitoring, Shadow-mode validation, Performance tracking and reporting
Design and apply optimization policies for inference latency, cost, and accuracy

What we offer

FLEXIBLE working conditions
COOPERATIVE environment
Competitive salary
Many CHALLENGING and exciting projects with new opportunities and learning
GROWTH opportunities, skills and competencies improvement, and professional certification
In-company TRAINING (English, Software / DevOps / Project management / Design / Business)

Fulltime

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Senior AI Platform Engineer - Data and Knowledge

Job Description

Job Responsibility

Requirements

What we offer

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