Backend Engineer (Data Science / ML) Job at Zalando (Helsinki)

Backend Engineer (Data Science / ML)

As a Backend Engineer (Data Science / ML) in Zalando Partner Tech, you will be r...

Location

Finland , Helsinki

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Solid command of Kotlin
additional JVM based languages (Scala or Java)
knowledge of software patterns and paradigms like continuous integration, test automation and deployment pipelines
strong command of Databricks with Apache Spark
comfortable taking the model from a notebook and wrapping it in a high-performance Kotlin microservice deployed on Kubernetes
Backend Engineer at heart with a strong interest (or foundational experience) in Data Science, Applied AI, or Machine Learning
enjoy working with large datasets and have a solid understanding of how data structures impact the performance of ML-driven applications
experience in specifying, planning, developing, maintaining and operating microservices using REST API (OpenAPI), Cloud Platforms (AWS, Kubernetes), PostgreSQL
good communication and collaboration skills
enjoy working in an international and diverse environment with a positive no-job-is-beneath you attitude as a team player

Job Responsibility

Design and implement predictive delivery models using Databricks with Apache Spark, translating complex data into real-time backend insights
take ownership of new features, take them from idea to technical design, and from technical design to cross system implementation
help us to be a better team by continuously reflecting upon our ways of working and suggesting improvements
actively participate in the entire product development lifecycle, from initial concept and design through to development, testing, deployment, and operation
taking full ownership of your features and their impact on our partners
proactively identify and solve complex technical challenges, always approaching problems with a "Partner First" mindset to deliver solutions that simplify their daily operations

What we offer

Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups
knowledge sharing through tech talks and open source commitment
internal tech academy and blogs, product demos, meetups, parties and events
competitive salary and employee shares program
40% Zalando discount of products sold and shipped by Zalando
30% off Zalando Lounge and additional discounts from external partners
monthly transport, lunch and recreation vouchers
private health insurance and occupational health care services
family services
free beverages and snacks

Fulltime

Software Engineer II (Backend + Data pipelines)

We’re seeking a Software Engineer II with strong backend development experience ...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

103500.00 - 196000.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience
Proficiency in Python, Scala, Ruby, or similar languages
Experience designing and building distributed systems at scale
Hands-on experience building, deploying, and optimizing solutions using ECS, EKS, or AWS Lambda
Experience with infrastructure-as-code tools like Terraform (or similar)
Experience working with a public cloud provider (AWS, Azure, or Google Cloud)
Familiarity with data processing frameworks like Spark or Databricks for large-scale workloads
Proven ability to test, profile, and optimize systems for performance, scalability, and reliability
Bachelor’s degree in Computer Science or equivalent professional experience

Job Responsibility

Design and build scalable systems to extract, enrich, and process metadata from millions of documents, images, and audio content
Leverage LLMs to integrate capabilities like summarization, classification, extraction, and enrichment into metadata pipelines
Collaborate with cross-functional teams, including ML engineers and product managers, to deliver scalable, efficient, and reliable metadata solutions
Optimize and refactor existing systems for performance, scalability, and reliability
Ensure data accuracy, integrity, and quality through automated validation and monitoring
Participate in code reviews, ensuring best practices are followed and maintaining high-quality standards in the codebase
Manage and maintain data pipelines, security and infrastructure

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

Python Backend Developer / ML Engineer

Our customer's product is an AI-powered platform that helps businesses make bett...

Location

India , Bengaluru; Gurugram

Salary:

Not provided

Intellectsoft

Expiration Date

Until further notice

Requirements

A master or bachelor’s degree in computer science or related field from a top university
4+ years
hands-on experience in Machine Learning (ML) with production LLM systems
Good fundamentals of machine learning, deep learning and fine-tuning models (LLM)
Understanding of transformer architectures
Prompt engineering expertise
Embeddings and vector search
Experienced in backend API design with FastAPI, async patterns, rate limiting
Experience with vector DB
Pinecone, Weaviate, or Chroma

Job Responsibility

Developing and implementing scalable backend systems, APIs, and microservices using FastAPI
Install best practices for software development, ensure designs meet requirements, and deliver high-quality work on schedule
Writing application backend codes using Python, SQL, async/await patterns, using strong object-oriented principles, asynchronous programming
Implementing dependency injection patterns using dependency injector library
Integrating Azure OpenAI (GPT-4, GPT-4 Vision) with proper retry logic and error handling
Building LLM observability using Langfuse for tracking prompts, tokens, costs, and latency
Developing prompt management systems with versioning and fallback mechanisms
Implementing Celery workflows for async task processing and complex pipelines
Building multi-tenant architectures with client data isolation
Developing layered architecture (Service, Foundation, Orchestration, DAL patterns)

What we offer

Awesome projects with an impact
Udemy courses of your choice
Team-buildings, events, marathons & charity activities to connect and recharge
Workshops, trainings, expert knowledge-sharing that keep you growing
Clear career path
Absence days for work-life balance
Flexible hours & work setup - work from anywhere and organize your day your way

Fulltime

Software Engineer, Systems ML - Compilers / Backend

We are seeking a software engineer to support the development of the compiler to...

Location

United States , Sunnyvale

Salary:

181000.00 USD / Year ▼

Software Engineer, Systems ML - Compilers / Backend

We are seeking a software engineer to support the development of the compiler to...

Location

United States , Sunnyvale

Salary:

217000.00 USD / Year ▼

New

Data Engineer – Cloud and Analytics Platforms

As a Data Engineer, you will be the foundational backbone of our data analytics ...

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 02, 2026

Requirements

Minimum of 3+ years in a dedicated Data Engineering role or a Software Developer role with a strong focus on data-backend development and complex transformations
Excellent, production-level knowledge of Python
Strong knowledge of SQL paired with a deep understanding of performance analysis and query optimization techniques
Rigid grasp of computer science fundamentals, including modularity, abstraction, data structures, and algorithms
Solid understanding of core data modeling concepts (normalized vs. denormalized data architectures, conceptual/logical/physical models, and star/snowflake schemas)
Proven experience building automated, production-grade ETL/ELT pipelines
Solid project experience leveraging various data storage technologies (including RDBMS, NoSQL, and Graph Databases)
Direct experience with cloud infrastructure provisioning and deployment automation on AWS

Job Responsibility

Build, improve, and maintain data infrastructure for ingesting, storing, and transforming data across advanced analytical workflows
Implement robust, scalable data pipelines supporting both stream and batch processing
Perform end-to-end ETL/ELT processes to extract and load data from a wide variety of structured and unstructured sources
Partner with enterprise architects and Information Services (IS) teams to design and evolve the overarching data platform environment in AWS
Write complex, automated SQL queries to manipulate data extracts and manage large-scale data flows
Perform continuous query optimization, performance analysis, and database tuning to minimize processing latency and cost
Assist with logical and physical data modeling, implementing optimized data structures (e.g., star and snowflake schemas)
Automate cloud deployments, data flows, and automated data quality validation checks
Collaborate closely with Data Scientists and ML developers to build, test, and operationalize automated ML pipelines
Design rigorous testing processes, formulating and executing comprehensive test cases for data validation

Fulltime

Senior Big Data Engineer

Start.io is a mobile marketing and audience platform. Start.io empowers the mobi...

Location

Poland , Warsaw

Salary:

Not provided

Start.io

Expiration Date

Until further notice

Requirements

B.Sc. or M.Sc. in Computer Science, Software Engineering, or other equivalent fields.
5+ years of hands-on experience in backend or ML engineering
Strong Python skills and experience working with distributed systems and parallel data processing frameworks such as Spark (using PySpark or Scala), Dask, or similar technologies. Familiarity with Scala is a strong advantage, especially in performance-critical environments.
Proven track record in designing and scaling ML infrastructure
Deep understanding of ML workflows and lifecycle management
Experience in cloud environments (AWS, GCP, OCI) and containerized deployment (Kubernetes)
Understanding databases and SQL for data retrieval.
Strong communication skills and ability to drive initiatives independently
A passion for clean code, elegant architecture, and measurable impact
Monitoring and alerting tools (e.g. Grafana, Kibana)

Job Responsibility

Design and implement large-scale, distributed ML training pipelines
Build scalable infrastructure for data preprocessing, feature engineering, and model evaluation
Lead the technical design and development of new ML systems: from architecture to production
Collaborate cross-functionally with DS, infra teams, Product, BA and Engineering teams to define and deliver impactful solutions
Own the full lifecycle of ML infra: tooling, versioning, monitoring, automation, measuring results and quickly responding to critical issues.
Continuously research and adopt best-in-class practices in MLOps, performance tuning, and distributed systems

Senior Software Engineer, ML Products

A Senior Software Engineer will work closely with Product Managers and Machine L...

Location

United States , Chicago

Salary:

171000.00 - 213000.00 USD / Year

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with a backend language, object oriented programming and building highly scalable backend services
3+ years of experience with relational and NoSql databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms
Strong communication skills with the ability to articulate, diagram and document complex engineering concepts
Strong analytical, problem-solving, decision-making, and interpersonal skills

Job Responsibility

Design, build, and maintain scalable ML products and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the 'gold standard' for engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other engineers, product managers, data scientists, data engineers, and product engineers to ensure the successful delivery of strategic and roadmap initiatives
Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing systems and processes while balancing maintainability, observability and readability
Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity

What we offer

Medical, dental, vision, life, and disability coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours
Casual dress code
Work in downtown Chicago, IL
Bike storage inside building
LifeStart gym with Peloton bikes and personal training
Free counseling sessions through Employee Assistance Program
Referral Program

Fulltime

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Backend Engineer (Data Science / ML)

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