ML Engineer Jobs

ML Engineer

The IT company Andersen invites an experienced ML Engineer for a large-scale pro...

Location

Salary:

Not provided

Andersen

Expiration Date

Until further notice

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

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

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

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

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

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

medical, dental, vision, and 401(k)

Fulltime

Middle/Senior AI, ML Engineer

Join us at Provectus to be a part of a team that is dedicated to building cuttin...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

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

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

Middle/senior AI, ML Engineer

Join us at Provectus to be a part of a team that is dedicated to building cuttin...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

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

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

Middle/Senior AI, ML Engineer

Join us at Provectus to be a part of a team that is dedicated to building cuttin...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

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

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

Senior ML Engineer

As a Senior ML Engineer at Provectus, you'll be responsible for designing, devel...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

ML Fundamentals: supervised, unsupervised, and reinforcement learning
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks
Deep Learning: CNNs, RNNs, Transformers
LLM Applications: Experience building production LLM-based applications
Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies
RAG Systems: Experience building retrieval-augmented generation architectures
Vector Databases: Familiarity with embedding models and vector search
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs
Python: Advanced proficiency in Python for ML applications

Job Responsibility

Design and implement end-to-end ML solutions from experimentation to production
Build scalable ML pipelines and infrastructure
Optimize model performance, efficiency, and reliability
Write clean, maintainable, production-quality code
Conduct rigorous experimentation and model evaluation
Troubleshoot and resolve complex technical challenges
Mentor junior and mid-level ML engineers
Conduct code reviews and provide constructive feedback
Share knowledge through documentation, presentations, and workshops
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)

Senior Platform Engineer, ML Data Systems

We’re looking for an ML Data Engineer to evolve our eval dataset tools to meet t...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

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

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

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

AI ML Engineer

We seeking a talented ML/AI Engineer to join our innovative team and drive the d...

Location

India , hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

Strong experience in building ML models with proven track record of successful deployments
Extensive experience in Generative AI including LLMs, diffusion models, and related technologies
Experience in Agentic AI and understanding of autonomous agent architectures
Proficiency with Model Control Protocol (MCP) for agent communication and control
Advanced Python programming with expertise in ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
Google Cloud Platform (GCP) experience with ML-focused services
Vertex AI hands-on experience for model lifecycle management
AutoML experience for automated machine learning workflows
Model Armour or similar model security and protection frameworks
3+ years of experience in machine learning engineering or related field

Job Responsibility

Design, develop, and deploy robust machine learning models for various business applications
Build and optimize generative AI solutions using latest frameworks and techniques
Implement agentic AI systems that can autonomously perform complex tasks
Develop and maintain ML pipelines from data ingestion to model deployment
Leverage Google Cloud Platform (GCP) services for scalable ML infrastructure
Utilize Vertex AI for model training, deployment, and management
Implement AutoML solutions for rapid prototyping and model development
Ensure model security and compliance using Model Armour and related tools
Write clean, efficient Python code for ML applications and data processing
Optimize model performance, accuracy, and computational efficiency

ML Engineer

Andersen

Location:
Poland, Kraków ▼
Warszawa

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 18, 2025

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Warszawa

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Job Posted:
December 18, 2025