CrawlJobs Logo

ML Engineer

invent.ai

Location Icon

Location:
Turkey

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We are seeking highly skilled and motivated Machine Learning Engineers to develop Generative AI powered solutions on supply chain analytics domains and deploy as production systems that are used by many retailers and enterprise customers. You will be challenged to build loosely coupled, highly scalable and robust software solutions that can change and grow with our needs. You will be working with data scientist groups and act as the bridge by building pipelines and workflows to process large scale data and productize GenAI based features, Retrieval Augmented Generation (RAG) systems using cutting edge cloud, big data and LLM technologies.

Job Responsibility:

  • Develop “best-in-class” architecture, design and production artifacts
  • Contribute to all phases of new developments including architecting, prototyping, productizing, testing and support
  • Adhere to and drive modern software engineering practices through code and design reviews, exercise DevOps principles to deploy, maintain and monitor production workflows and services
  • Stay educated on existing and state of the art technologies, and do proof of concept studies to evaluate technology fits relevant to our product requirements
  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Participates in design and code reviews within the feature areas, facilitates the discussion and alignments on architectural and strategic decisions
  • Play active role on end to end Machine Learning lifecycle, starting from prototyping to the deployment
  • Design, develop, and maintain RESTful APIs and backend services to support AI and machine learning models, ensuring high availability and performance
  • Deploy Generative AI and Traditional Machine Learning models into production and ensure seamless integration, scalability, and monitoring
  • Collaborate with data scientists to refine prompts that guide AI models in generating accurate and relevant outputs, tailoring prompts
  • Mentor junior developers with coaching and participating code/design reviews

Requirements:

  • 5+ years of work experience including SaaS systems
  • Bachelor’s degree or higher in a related field
  • Experience with Object Oriented Programming principles and strong coding skills on Python or any other OO programming languages
  • Skills on manually and programmatically interacting with data stored in traditional (relational) databases (MSSQL or PostgreSQL) as well as NoSQL databases and/or columnar data formats
  • Solid understanding of machine learning & data science concepts
  • Experience with developing and deploying end to end Machine Learning solutions including Machine Learning model serving strategies and inference services
  • Experience with Python Data Science / Machine Learning libraries NumPy, Pandas, sklearn, mlflow, lightgbm, xgboost, Tensorflow, PyTorch
  • Experience with Python backend development frameworks (e.g., Flask, Django, FastAPI)
  • Familiarity with LLMs and Generative AI technologies
  • Ability and motivation to self-teach while entering new domains and managing through ambiguity

Nice to have:

  • Knowledgeable on Deep Learning and its fields including NLP, Large Language Models, Computer Vision
  • Knowledgeable of modern big data solutions and distributed platforms for processing large and complex data sets
  • Familiarity on supply chain analytics problems such as demand forecasting, inventory and price optimization
  • Familiarity with DevOps, MLOps, DataOps, and Platform Engineering concepts
  • Knowledgeable on cloud services including containerization, serverless functions, message queues and orchestration frameworks
  • Knowledge of Continuous Integration / Continuous Deployment best practices and familiarity with DevOps technologies such as Docker, Jenkins and Terraform
What we offer:
  • We provide monthly fixed contribution to internet bill and fun packets (Netflix, Amazon Prime etc.)
  • We care about your health and support it with comprehensive private health insurance
  • We support your career growth with Udemy, Medium, HBR and other learning tools
  • At Invent.ai, you have extra off days for different occasions (birthday, moving day, maternity & paternity leaves etc.)
  • Great people make the perfect match: We have a powerful referral bonus for the friend you refer, bring to buddy
  • Work hard, play harder, unlimited fun at work: All-day snacks at the office, team activities, social club meetings, annual retreats, monthly happy Friday drinks and other celebrations
  • At Invent.ai we celebrate and reward our successful teammates who have won awards in arts and sports
  • We care about social responsibility and that's why we have a community! Invent.ai gives you the opportunity to make a real difference in people's lives
  • We believe that we will be more productive when we achieve our work-life balance. We support the Invent social clubs for their hobbies
  • painting, tennis, football and more

Additional Information:

Job Posted:
February 24, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
invent.ai - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for ML Engineer

ML Engineer

The IT company Andersen invites an experienced ML Engineer for a large-scale pro...
Location
Location
Salary
Salary:
Not provided
andersenlab.com Logo
Andersen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience as a ML Engineer for 3+ years
  • Strong proficiency in Python, with deep knowledge of software development principles, architecture patterns, and ML model integration
  • Hands-on experience with TTS systems (e.g., Tacotron, FastSpeech, VITS) and an understanding of SST pipelines
  • Familiarity with real-time AI systems, including LLM integration and latency-sensitive applications
  • Experience tuning and maintaining ML models for performance, scalability, and quality in production
  • Level of English – from Intermediate+
Job Responsibility
Job Responsibility
  • Designing, integrating, and optimizing Text-to-Speech (TTS) systems within real-time conversational AI pipelines
  • Fine-tuning models based on user feedback, improving clarity, naturalness, and emotional expression in voice output
  • Contributing to customer-specific deployments with high adaptability and quick turnaround requirements
  • Collaborating with ML, product, and engineering teams to ensure seamless voice experiences across our platform
What we offer
What we offer
  • Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
  • The opportunity to change the project and/or develop expertise in an interesting business domain
  • Guarantee of professional, financial, and career growth
  • The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
  • Access to the corporate training portal
  • Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
  • Certification compensation (AWS, PMP, etc)
  • Referral program
  • English courses
  • Private health insurance and compensation for sports activities
Read More
Arrow Right

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...
Location
Location
United States , San Francisco
Salary
Salary:
180000.00 - 270000.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
  • Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
  • Proven experience delivering reliable and scalable infrastructure in production
  • Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
  • Strong communication skills and ability to collaborate across teams
Job Responsibility
Job Responsibility
  • Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
  • Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
  • Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
  • Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
  • Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
  • Contribute to technical strategy and architecture discussions within the team
  • Mentor and support other engineers through code reviews, design discussions, and technical guidance
What we offer
What we offer
  • medical, dental, vision, and 401(k)
  • Fulltime
Read More
Arrow Right

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...
Location
Location
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
  • At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
  • Strong foundation in computer science principes and statistical methods
  • Strong experience with cloud technology (AWS or Azure)
  • Strong experience with creation of data ingestion pipeline and ET process
  • Strong knowledge of big data tool such as Spark, Databricks and Python
  • Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
  • Strong knowledge of Natural language processing (NPL) concepts
  • Strong knowledge of scrum practices and agile mindset
Job Responsibility
Job Responsibility
  • Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
  • Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
  • Build and maintain feature stores, vector/embedding stores, and core data assets for ML
  • Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
  • Implement data quality checks, drift detection, and automated retraining processes
  • Optimise cost, latency, and performance across all AI/ML infrastructure
  • Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
  • Ensure AI/ML systems meet governance, security, and compliance requirements
  • Mentor teams and drive innovation across both agentic and classical ML engineering practices
  • Participate in team meetings and contribute to project planning and strategy discussions
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Read More
Arrow Right

Middle/Senior AI, ML Engineer

Join us at Provectus to be a part of a team that is dedicated to building cuttin...
Location
Location
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Comfortable with standard ML algorithms and underlying math
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
  • AWS Bedrock experience strongly preferred
  • Practical experience with solving classification and regression tasks in general, feature engineering
  • Practical experience with ML models in production
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
  • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
  • Python expertise, Docker
  • English level - strong Intermediate
  • Excellent communication and problem-solving skills
Job Responsibility
Job Responsibility
  • Create ML models from scratch or improve existing models
  • Collaborate with the engineering team, data scientists, and product managers on production models
  • Develop experimentation roadmap
  • Set up a reproducible experimentation environment and maintain experimentation pipelines
  • Monitor and maintain ML models in production to ensure optimal performance
  • Write clear and comprehensive documentation for ML models, processes, and pipelines
  • Stay updated with the latest developments in ML and AI and propose innovative solutions
Read More
Arrow Right

Middle/senior AI, ML Engineer

Join us at Provectus to be a part of a team that is dedicated to building cuttin...
Location
Location
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Comfortable with standard ML algorithms and underlying math
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
  • AWS Bedrock experience strongly preferred
  • Practical experience with solving classification and regression tasks in general, feature engineering
  • Practical experience with ML models in production
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
  • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
  • Python expertise, Docker
  • English level - strong Intermediate
  • Excellent communication and problem-solving skills
Job Responsibility
Job Responsibility
  • Create ML models from scratch or improve existing models
  • Collaborate with the engineering team, data scientists, and product managers on production models
  • Develop experimentation roadmap
  • Set up a reproducible experimentation environment and maintain experimentation pipelines
  • Monitor and maintain ML models in production to ensure optimal performance
  • Write clear and comprehensive documentation for ML models, processes, and pipelines
  • Stay updated with the latest developments in ML and AI and propose innovative solutions
Read More
Arrow Right

Middle/Senior AI, ML Engineer

Join us at Provectus to be a part of a team that is dedicated to building cuttin...
Location
Location
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Comfortable with standard ML algorithms and underlying math
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
  • AWS Bedrock experience strongly preferred
  • Practical experience with solving classification and regression tasks in general, feature engineering
  • Practical experience with ML models in production
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
  • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
  • Python expertise, Docker
  • English level - strong Intermediate
  • Excellent communication and problem-solving skills
Job Responsibility
Job Responsibility
  • Create ML models from scratch or improve existing models
  • Collaborate with the engineering team, data scientists, and product managers on production models
  • Develop experimentation roadmap
  • Set up a reproducible experimentation environment and maintain experimentation pipelines
  • Monitor and maintain ML models in production to ensure optimal performance
  • Write clear and comprehensive documentation for ML models, processes, and pipelines
  • Stay updated with the latest developments in ML and AI and propose innovative solutions
Read More
Arrow Right

Senior Platform Engineer, ML Data Systems

We’re looking for an ML Data Engineer to evolve our eval dataset tools to meet t...
Location
Location
United States , Mountain View
Salary
Salary:
137871.00 - 172339.00 USD / Year
khanacademy.org Logo
Khan Academy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • 5 years of Software Engineering experience with 3+ of those years working with large ML datasets, especially those in open-source repositories such as Hugging Face
  • Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect)
  • Experience with data versioning tools (e.g., DVC, LakeFS) and cloud storage systems
  • Familiarity with machine learning workflows — from training data preparation to evaluation
  • Familiarity with the architecture and operation of large language models, and a nuanced understanding of their capabilities and limitations
  • Attention to detail and an obsession with data quality and reproducibility
  • Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”
  • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Job Responsibility
Job Responsibility
  • Evolve and maintain pipelines for transforming raw trace data into ML-ready datasets
  • Clean, normalize, and enrich data while preserving semantic meaning and consistency
  • Prepare and format datasets for human labeling, and integrate results into ML datasets
  • Develop and maintain scalable ETL pipelines using Airflow, DBT, Go, and Python running on GCP
  • Implement automated tests and validation to detect data drift or labeling inconsistencies
  • Collaborate with AI engineers, platform developers, and product teams to define data strategies in support of continuously improving the quality of Khan’s AI-based tutoring
  • Contribute to shared tools and documentation for dataset management and AI evaluation
  • Inform our data governance strategies for proper data retention, PII controls/scrubbing, and isolation of particularly sensitive data such as offensive test imagery.
What we offer
What we offer
  • Competitive salaries
  • Ample paid time off as needed
  • 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
  • Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
  • Generous parental leave
  • An exceptional team that trusts you and gives you the freedom to do your best
  • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
  • Opportunities to connect through affinity, ally, and social groups
  • 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life.
  • Fulltime
Read More
Arrow Right

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
  • At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
  • Strong foundation in computer science principes and statistical methods
  • Strong experience with cloud technology (AWS or Azure)
  • Strong experience with creation of data ingestion pipeline and ET process
  • Strong knowledge of big data tool such as Spark, Databricks and Python
  • Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
  • Strong knowledge of Natural language processing (NPL) concepts
  • Strong knowledge of scrum practices and agile mindset
  • Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy
Job Responsibility
Job Responsibility
  • Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
  • Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
  • Build and maintain feature stores, vector/embedding stores, and core data assets for ML
  • Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
  • Implement data quality checks, drift detection, and automated retraining processes
  • Optimise cost, latency, and performance across all AI/ML infrastructure
  • Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
  • Ensure AI/ML systems meet governance, security, and compliance requirements
  • Mentor teams and drive innovation across both agentic and classical ML engineering practices
  • Participate in team meetings and contribute to project planning and strategy discussions
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy