Uvation
AI/ML Engineers
UvationRomania6 days ago
Part-timeRemote FriendlyEngineering, Information Technology
We understand that the world is already overpopulated with IT consultancies, each offering the same types of services. This is why Uvation takes the role of ‘consultant’ one step further. We don’t just want to provide clients with advice about software and hardware, but rather serve as your comprehensive and strategic IT and security partner. Modern companies are requiring distinctive IT and security solutions within their niches. We know that meeting these unique needs, through trusted consultation and fully integrated solutions specifically tailored to your budget, is critical for businesses to scale effectively and navigate safely within an ever-transformative digital landscape. With a physical presence across North America, the EU and the Asia Pacific, we aim to be an end-to-end company that provides transformative services to address the most pressing technology challenges through each department of our business, which we call our focus areas. To meet today’s wide scope of IT and security needs, we’ve created devoted teams and resources to focus on specific sectors like aerospace and defense, the public sector, healthcare and the nonprofit field. Get Rewarded With Us By partnering with Uvation, you now get more out of every purchase with Uvation Rewards. Yes, our primary focus is on the success of our clients and their communities by delivering tangible results, not vague promises. In equal measure, we want our clients to get rewarded for investing in the future of their companies and the communities in which they thrive. Every time you invest in your company with Uvation, you now earn back cloud credits, gift cards and loyalty points that can even be converted into cash donations to support the missions of some of the world’s best charities. Contact us today for a free 30-minute consultation to see how we can provide your company with the full-stack services, innovative products, and pioneering technologies you deserve.

The Role

Job Title: AI/ML Engineer

Department: IT Services

Reports To: IT Project Manager

Location: Remote

Job Overview

The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.

The ideal candidate will have 2 to 7 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.

Responsibilities

  • Model Development and Optimization
  • Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
  • Select appropriate algorithms and techniques based on business needs and data characteristics.
  • Continuously monitor and improve model performance using metrics and feedback loops.
  • Data Preparation and Feature Engineering
  • Clean, preprocess, and transform structured and unstructured datasets for training and inference.
  • Engineer and select relevant features to improve model accuracy and generalizability.
  • Collaborate with data engineers to ensure data quality and accessibility.
  • Model Deployment and MLOps
  • Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
  • Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
  • Monitor deployed models for drift, latency, and performance in production environments.
  • AI Solutions and Use Case Implementation
  • Work with business stakeholders to translate real-world problems into AI/ML use cases.
  • Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
  • Contribute to proof-of-concept projects and assist in scaling successful models to production.
  • Research and Innovation
  • Stay updated with the latest research, frameworks, and tools in machine learning and AI.
  • Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
  • Promote innovation by recommending and implementing modern AI strategies.
  • Cross-functional Collaboration
  • Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
  • Translate technical insights into business value through clear documentation and presentations.
  • Documentation and Best Practices
  • Maintain comprehensive documentation for models, experiments, and pipelines.
  • Ensure reproducibility, scalability, and compliance with data governance policies.

Ideal Profile

Requirements

Experience:

  • 2–7 years of hands-on experience in machine learning model development and deployment.
  • Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.

Technical Skills

Strong knowledge of:

  • Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
  • Model evaluation, hyperparameter tuning, and pipeline automation
  • REST APIs for model serving and integration

Familiarity With

  • MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
  • Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
  • NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Excellent communication skills, both verbal and written.
  • Ability to work independently and within cross-functional teams.
  • Curiosity, adaptability, and willingness to learn continuously.

What's on Offer?

  • Great work environment
  • Excellent career development opportunities
  • Attractive salary & benefits

Key Skills

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