Machine Learning & Python Engineering Intern Job at Provectus (Novi Sad)

Machine Learning Engineer, 2025/2026 Intern

Join Atlassian as an intern and spend your summer with us having an impact on ho...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Must be currently enrolled in a full-time degree program (Masters degree preferred) and returning to the program after the completion of the internship, graduating by January 2027
Can build machine learning and predictive models
Can translate business problems into technical solutions
Have experience writing software with minimal bugs in Python, Scala, or Spark
Have experience with SQL (Bonus!)

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Machine Learning Engineer

We are seeking a talented and experienced Machine Learning Engineer with experti...

Location

United States , Boston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

3+ years of professional experience working as a Machine Learning Engineer or in a related role focused on computer vision
Strong proficiency in Python and experience with deep learning libraries such as TensorFlow, PyTorch, or Keras
Hands-on expertise with computer vision models and architectures, including YOLO, U-Net, and CNNs/RCNNs
Extensive experience with image segmentation, object detection, and related computer vision techniques
Familiarity with preprocessing methods like image blurring and contrast enhancements to improve model outcomes
Proven ability to build and deploy production-ready code for machine learning models at scale
Understanding of best practices for scalable system design, deployment, and maintenance of machine learning pipelines
Strong problem-solving skills and a passion for tackling complex, unstructured problems in the domain of computer vision
Effective verbal and written communication skills to articulate solutions to both technical and non-technical stakeholders.

Job Responsibility

Design, develop, and deploy scalable and production-ready computer vision models for real-world applications
Leverage algorithms and frameworks like YOLO, U-Net, CNNs/RCNNs, and other deep learning architectures for tasks such as image segmentation, object detection, and classification
Implement pre- and post-processing techniques, including image blurring, contrast enhancements, and other image augmentation pipelines, to optimize model performance
Write efficient, maintainable, and clean Python code for integrating computer vision models into production systems
Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project needs and deliver solutions
Analyze and improve model performance, accuracy, and efficiency through continuous evaluation and enhancement
Stay updated on the latest advancements in computer vision and machine learning techniques, incorporating new technologies where appropriate
Contribute to model optimization and inference processes to ensure scalability and low latency in production environments
Troubleshoot production issues and implement solutions to improve reliability and performance
Document technical solutions, workflows, and methodologies for internal and external stakeholders.

What we offer

Access to top jobs
Competitive compensation
Medical insurance
Vision insurance
Dental insurance
Life and disability insurance
Company 401(k) plan
Free online training.

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer in the Central AI team, you will build and...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
Design system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers
Lead other engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input and communicate results

What we offer

Health and wellbeing resources
Paid volunteer days

Fulltime

Principal Machine Learning Engineer

As a Principal Engineer on the ITSM team, you will get the opportunity to work o...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

10+ years of total experience
Fluency in at least 1 scripting, OOP language
Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP
Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas
Good Understanding of Machine Learning project lifecycle
Familiarity with MLOps and experience with scaling and deploying Machine Learning models

Job Responsibility

Work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI (Mean time to identify)
Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
Lead engineers to drive involved projects from technical design to launch
Collaborate with other teams and internal customers to set expectations, gather input, and communicate results
Work with a distributed, world-class team shaping the future of AIOps
Master Generative AI
Become a machine learning maestro
Collaborate with diverse minds
Make a tangible impact
Routinely tackle complex architectural challenges

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Machine Learning Engineering Intern

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact ...

Location

Canada , Toronto

Salary:

45.00 - 70.00 USD / Hour

Cresta

Expiration Date

Until further notice

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
Strong understanding of machine learning fundamentals and generative modeling
Ability to design and analyze experiments involving large-scale datasets
Work authorization in the country of employment at the time of hire

Job Responsibility

Design, develop, and deploy Cresta’s KA solutions and proprietary models
Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems

What we offer

Lunch can be expensed (up to $25) while working in the office
PTO: 4 days
Compensation for this position includes a base salary, equity, and a variety of benefits

Machine Learning Research Intern

We are looking for a Machine Learning Research Intern to join the Doctolib’s Art...

Location

France , Levallois-Perret

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Master's student with practical experience working on ML problems
Strong programmer (Python)
Enthusiastic about collaborative work
Eager to ask questions, admit mistakes, and learn new things
Interested in improving healthcare through technology
Fluent in English and French

Job Responsibility

Develop and experiment with machine learning models to solve real-world healthcare challenges
Collaborate with ML engineers and researchers on applied research projects
Participate in improving medical practice efficiency through AI
Explore new model architectures and data processing techniques

What we offer

Lunch voucher with Swile card
Work Council subsidy to refund part of sport club membership or creative class
Reimbursement of public transportation

Machine Learning Platform / Backend Engineer

We are seeking a Machine Learning Platform/Backend Engineer to design, build, an...

Location

Serbia; Romania , Belgrade; Timișoara

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

4-5+ years of work experience in either ML infrastructure, MLOps, or Platform Engineering
Bachelors degree or equivalent focusing on the computer science field is preferred
Excellent communication and collaboration skills
Expert knowledge of Python
Experience with CI/CD tools (e.g., GitLab, Jenkins)
Hands-on experience with Kubernetes, Docker, and cloud services
Understanding of ML training pipelines, data lifecycle, and model serving concepts
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
A demonstrated understanding of the ML lifecycle, model versioning, and monitoring
Experience with ML frameworks (e.g., TensorFlow, PyTorch)

Job Responsibility

Design, build, and maintain scalable infrastructure that empowers data scientists and machine learning engineers
Own the design and implementation of the internal ML platform, enabling end-to-end workflow orchestration, resource management, and automation using cloud-native technologies (GCP/Azure)
Design and manage Kubernetes-based infrastructure for multi-tenant GPU and CPU workloads with strong isolation, quota control, and monitoring
Integrate and extend orchestration tools (Airflow, Kubeflow, Ray, Vertex AI, Azure ML or custom schedulers) to automate data processing, training, and deployment pipelines
Develop shared services for model behavior/performance tracking, data/datasets versioning, and artifact management (MLflow, DVC, or custom registries)
Build out documentation in relation to architecture, policies and operations runbooks
Share skills, knowledge, and expertise with members of the data engineering team
Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
Collaborate and drive progress with cross-functional teams to design and develop new features and functionalities
Ensure that the developed solutions meet project objectives and enhance user experience

Fulltime

Applied Machine Learning Engineer

As an Applied Machine Learning Engineer, you will serve as a vital bridge betwee...

Location

United States , New York, NY; San Mateo, CA; Redwood City, CA

Salary:

170000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
Robust coding skills required, preferably with proficiency in Python
Demonstrated ability to lead and execute complex technical projects with a focus on customer success
Strong interpersonal and communication skills
ability to thrive in dynamic, cross-functional teams

Job Responsibility

Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology
Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues
New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments
Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications
Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration

What we offer

meaningful equity in a fast-growing startup
competitive salary
comprehensive benefits package

Fulltime

Machine Learning & Python Engineering Intern

Provectus

Location:
Serbia , Novi Sad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 22, 2026

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