Senior AI Data Engineer Job at Inetum (Warsaw)

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

Senior AI Data Engineer

VideoAmp is seeking a Senior AI Data Engineer to join our Linear Data Processing...

Location

United States

Salary:

150000.00 - 170000.00 USD / Year

VideoAmp

Expiration Date

Until further notice

Requirements

4+ years of experience in AI/ML engineering, applied ML systems, or data engineering
Demonstrated experience shipping LLM-powered systems into production
Strong understanding of: Prompt engineering and evaluation frameworks
Embeddings and similarity search on structured and semi-structured data
Hybrid AI systems that combine LLMs with deterministic logic
Proficiency in Python and SQL
strong software engineering fundamentals
Experience working with large-scale data platforms and distributed systems
Ability to design AI systems that meet measurement-grade reliability, explainability, and auditability requirements

Job Responsibility

Design and operate AI- and LLM-enabled data pipelines processing billions of linear and digital records
Build and productionize LLM-driven systems for concrete LDP problems, including: Network & Program Schedules
Hourly Viewership Logs
Commercial & Ad Spot Metadata
Combine LLMs with rules, heuristics, and ML models to ensure deterministic, auditable outcomes
Own the end-to-end AI lifecycle, including: Prompt design and evaluation
Feature engineering and training pipelines
Deployment, monitoring, drift detection, and retraining
Integrate LLMs responsibly into batch and event-driven LDP workflows, balancing accuracy, latency, and cost
Build human-in-the-loop workflows for high-impact or low-confidence cases

What we offer

Equity
Discretionary and flexible paid time off
In addition to standard US holidays off, VideoAmp employees also partake in Spring, Summer and Winter breaks
Comprehensive medical, dental, and vision benefits for you and your dependents—including multiple options fully covered by VideoAmp
Unlimited financial wellness sessions with Origin financial advisors
401k Plan with matching
HSA & FSA
Commuter Benefits
Cell Phone Reimbursement
Paid Maternity and Parental Leave for All Family Additions

Fulltime

Senior AI Data Engineer

The Senior AI Data Engineer (Applications Development Technology Lead Analyst - ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
Strong proficiency in Python, SQL
Java is a plus
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Excellent analytical and problem-solving skills with a creative approach to complex challenges

Job Responsibility

Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
Develop scalable and robust architectures for agentic systems, ensuring high performance, reliability, and security
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making
Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems across various domains
Utilize and contribute to agentic AI frameworks and development tools
Design and implement metrics and evaluation strategies for agent performance, continuously optimizing and improving agent behavior
Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose innovative solutions
Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services
Create comprehensive technical documentation for agent designs, implementations, and operational procedures
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Senior AI Data Engineer

The Senior AI Data Engineer (Applications Development Technology Lead Analyst - ...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
Strong proficiency in Python, SQL
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Excellent analytical and problem-solving skills
Strong written and verbal communication skills

Job Responsibility

Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
Develop scalable and robust architectures for agentic systems
Integrate various machine learning models to enhance agent capabilities and decision-making
Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems
Utilize and contribute to agentic AI frameworks and development tools
Design and implement metrics and evaluation strategies for agent performance
Stay abreast of the latest advancements in AI
Work closely with cross-functional teams
Create comprehensive technical documentation
Appropriately assess risk when business decisions are made

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Data Engineer - AI and Analytics

We're building a world of health around every individual — shaping a more connec...

Location

United States , Buffalo Grove

Salary:

101970.00 - 203940.00 USD / Year

CVS Health

Expiration Date

June 24, 2026

Requirements

3-5+ years of experience with SQL, NoSQL
3-5+ years of experience with Python
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
3+ years of experience with ETL/ELT, and building high-volume data pipelines
3+ years of experience with reporting/analytic tools
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
3+ years of experience with Big data and cloud architecture
3+ years of hands-on experience building modern data pipelines within a major cloud platform (preferably GCP, open to AWS or Azure)
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)

Job Responsibility

Design, develop, and maintain optimal data pipelines to assemble large and intricate datasets
Cater to the business requirements of various CVS lines of business
Collaborate closely with teams to craft tools to provide actionable insights and integrate them with consumer touchpoints
Solve problems associated with large scale complex, structured and unstructured data

What we offer

Medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
bonus, commission or short-term incentive program

Fulltime

!

Senior Data Engineer - AI Infrastructure

We are building a large-scale data platform that transforms raw system logs into...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Job Responsibility

Design and implement large-scale data pipelines using PySpark and distributed processing frameworks
Build and maintain data models that accurately represent underlying system behavior and business logic
Ensure high standards of data correctness, completeness, and consistency across datasets
Develop validation, monitoring, and alerting mechanisms to detect data quality issues
Partner with data scientists to support experimentation and analytics use cases
Collaborate with platform engineers to ensure efficient data ingestion, processing, and storage
Optimize pipelines for performance, scalability, and cost efficiency
Define and enforce best practices for schema design, data transformations, and pipeline reliability

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

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Senior AI Data Engineer

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