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AI/ML Consultant

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for an AI/ML Consultant to join our UniQue team.

  • Develop and maintain software applications in Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI).
  • Design and optimize machine learning systems and deep learning architectures.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and processes.
  • Define and implement IT architectures for NLP, ML, and AI solutions, ensuring alignment with master and meta-data management concepts.
  • Perform data preprocessing, feature engineering, and model evaluation to enhance performance.
  • Stay updated with the latest advancements in AI/ML technologies and algorithms.
  • Maintain and support AI-deployed solutions on SaaS platforms such as AWS and Azure.
  • Document architecture blueprints and align them with business requirements.

What will you be bringing to the team?

  • Master Degree with minimum 13 years of general IT experience.
  • More than 1 year of experience with Large Language Models (LLMs), text embeddings, tokenization, vectorization, machine learning, and deep learning.
  • More than 1 year of experience with of Python/Java/Containers (Docker/Kubernetes)/Cloud AI services (AWS, Azure).
  • Minimum 1 year of experience in the full lifecycle of natural language processing (NLP) systems and agile software development methodologies.
  • At least 1 year of experience in quality assurance and quality control for machine translation (MT), and experience with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality.
  • Proven ability to conduct proof of concepts (PoCs) efficiently and effectively.
  • Strong presentation skills for both technical and business audiences.
  • High attention to quality standards and the ability to work in fast-evolving cloud-based environments.
  • Strong written communication skills for technical documentation.
  • Ability to actively participate in technical discussions and collaborate with diverse stakeholders.
  • Desirable Certifications (one or more of the following certifications are preferred):
    • AWS Certifications: AWS Certified Machine Learning, AWS Certified Data Analytics, AWS Certified Solutions Architect.
    • Microsoft Certifications: Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Solutions Architect Expert.
  • An excellent level of written and spoken English is required (minimum C1).

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI/ML Consultant, Uni Systems

At Uni Systems, we're excited to be on the forefront of turning digital visions into reality, and we're on the lookout for a passionate AI/ML Consultant to join our dynamic UniQue team. If you're someone who loves diving deep into the intricacies of Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI), this role is just for you! You'll have the opportunity to develop and maintain innovative software applications, design and optimize cutting-edge machine learning systems, and collaborate with talented cross-functional teams to integrate AI/ML solutions into our existing products and processes. Your expertise will play a key role in defining and implementing IT architectures for these advanced solutions while ensuring they align with essential master and meta-data management concepts. You'll also be responsible for data preprocessing, feature engineering, model evaluation, and staying ahead of the curve by keeping up with the latest advancements in AI/ML technologies. Whether it’s maintaining AI-deployed solutions on cloud platforms like AWS and Azure or documenting architecture blueprints that align with business needs, your contributions will be invaluable. Plus, your strong communication skills will shine as you actively engage in technical discussions with diverse stakeholders. If you have a Master’s degree, at least 13 years of general IT experience, and a knack for both technical and business presentations, we can't wait to meet you at Uni Systems!

Frequently Asked Questions (FAQs) for AI/ML Consultant Role at Uni Systems
What are the responsibilities of an AI/ML Consultant at Uni Systems?

As an AI/ML Consultant at Uni Systems, you will develop and maintain software applications in Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI). Your responsibilities include designing machine learning systems, collaborating with cross-functional teams to integrate AI/ML solutions, and performing data preprocessing and model evaluation. You'll also document architecture blueprints and ensure alignment with business needs.

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What qualifications are required for the AI/ML Consultant role at Uni Systems?

To qualify for the AI/ML Consultant position at Uni Systems, candidates should possess a Master's degree and have a minimum of 13 years of general IT experience. Additionally, over a year of experience with Large Language Models, machine learning, and deep learning technologies is essential, along with proficiency in Python, Java, and cloud services like AWS or Azure.

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How does the AI/ML Consultant role at Uni Systems ensure quality in machine translation?

The AI/ML Consultant at Uni Systems plays a key role in quality assurance and quality control for machine translation (MT). This includes applying various testing methodologies, utilizing automatic quality metrics such as BLEU scores, and conducting human evaluations of MT quality. These practices are critical to maintaining high standards in our AI-deployed solutions.

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What skills are beneficial for an AI/ML Consultant at Uni Systems?

Beneficial skills for the AI/ML Consultant role at Uni Systems include a strong command of programming languages like Python and Java, experience with cloud AI services, and a solid understanding of Agile software development methodologies. Strong presentation skills, attention to quality standards, and the ability to communicate complex concepts effectively are also vital for success in this role.

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What opportunities for growth exist for an AI/ML Consultant at Uni Systems?

At Uni Systems, AI/ML Consultants have the opportunity to work with cutting-edge technologies and contribute to innovative projects, which promotes continuous professional growth. Additionally, we encourage ongoing education and certifications, such as AWS or Microsoft Certifications, helping our team stay current with industry advancements and supporting career development.

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Common Interview Questions for AI/ML Consultant
Can you explain your experience with machine learning systems and architectures?

When answering this question, discuss specific projects you've worked on that involved designing and optimizing machine learning systems. Bring up the architectures you've utilized, the challenges you faced, and how you overcame them while detailing the outcomes.

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How do you stay updated with the latest advancements in AI and ML technologies?

Share the methods you use to keep your knowledge fresh, such as following industry blogs, engaging with online communities, attending webinars or conferences, and reading research papers. Highlight any specific topics that have most influenced your recent work.

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What strategies do you use for data preprocessing and feature engineering?

Discuss your approach to data preprocessing, including techniques you prefer for cleaning and preparing data for modeling. Mention specific feature engineering strategies that have been successful in your past projects, and how they impacted model performance.

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Can you describe your experience with Natural Language Processing?

Provide examples of NLP systems you have worked on, detailing the lifecycle from conception to deployment. Describe specific tools or frameworks you utilized, and the type of challenges you faced in your projects.

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What is your experience with AWS or Azure AI services?

Talk about the specific cloud AI services you've worked with on AWS or Azure, describing how they were integrated into your projects. Highlight any challenges encountered and the solutions developed to address them.

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How do you conduct quality assurance for machine translation systems?

Explain your methodology for quality assurance in machine translation, including the use of automatic quality metrics and human evaluation. Share insights on how this process impacts overall project quality and user satisfaction.

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Can you give an example of a successful proof of concept you've conducted?

Describe a specific proof of concept you led, outlining the objective, methodology, and results. Emphasize lessons learned and how this influenced further projects or innovations.

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How do you approach collaboration with cross-functional teams?

Illustrate your communication style and working preferences. Provide examples of how you've effectively partnered with different teams to align on project goals, showcasing your ability to adapt your approach to various stakeholders.

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What presentation techniques do you find most effective for technical audiences?

Discuss techniques that resonate with both technical and business audiences, such as visual aids, storytelling, and summarizing complex data into actionable insights. Illustrate your strategies with examples from past presentations.

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How do you handle tight deadlines in an evolving cloud-based environment?

Share your strategies for prioritizing tasks, managing time, and staying organized when facing tight deadlines. Include examples of projects where you successfully delivered results despite time constraints.

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Uni Systems SA, a 100% subsidiary of Info-Quest, the largest IT Company in Greece for many years, is the Group's specialized integrated technology solutions implementation Company. Uni Systems is the largest IT & Communications integrated solution...

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Full-time, remote
DATE POSTED
March 30, 2025

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