Generative AI/Machine Learning Engineer

Where exceptional talents scale what matters.

Swicon Minds is a curated community of 450+ senior top talents working on complex enterprise challenges, while operating within a stable, structured, and supportive ecosystem.

Talent Pool

Please provide your information!


Close

LEAP WITH CONFIDENCE.

SCALE THROUGH COMPETENCE.

Generative AI/Machine Learning Engineer

2025.08.06.

Summary

Bucharest, ROU

Remote

Medior

Introduction

SwiconGroup has been a leading member of the IT arena for almost 15 years and has been present in Romania since our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance, and telecommunication companies, as well as large FMCG corporations and SSCs, amongst our highly prestigious partners.

Description

Accelerate GenAI & ML Adoption: Drive the adoption of Generative AI and Machine Learning technologies.

Use Case Validation & Reusability: Collaborate with the AI & Automation Product Owner to validate backlog priorities, assess technical feasibility, and determine whether existing ML or GenAI assets can be scaled or adapted for new use cases.

End-to-End Solution Delivery: Partner with cross-functional teams—including data scientists, ML/GenAI engineers, data/cloud experts, and RPA developers—to turn business problems into viable, sustainable solutions using ML algorithms or GenAI architectures (e.g., RAG, LLMs).

Stakeholder Engagement: Work directly with business stakeholders to understand their needs, translate them into solution requirements, and provide actionable recommendations that align with business strategy.

Model Development & Deployment: Design and build both predictive ML models and GenAI solutions—from data preprocessing and feature engineering to model development, fine-tuning, evaluation, and deployment—leveraging Azure, Databricks, and other enterprise platforms.

GenAI-Specific Capabilities: Architect and implement Retrieval-Augmented Generation (RAG) systems, fine-tune LLMs, and apply advanced prompt engineering techniques to build chat-based tools, search augmentation solutions, and virtual assistants that deliver real business value.

Performance Monitoring & Validation: Conduct rigorous model evaluation and performance monitoring for both ML and GenAI models to ensure reliability, fairness, and compliance.

Tasks

Accelerate GenAI & ML Adoption: Drive the adoption of Generative AI and Machine Learning technologies.

Use Case Validation & Reusability: Collaborate with the AI & Automation Product Owner to validate backlog priorities, assess technical feasibility, and determine whether existing ML or GenAI assets can be scaled or adapted for new use cases.

End-to-End Solution Delivery: Partner with cross-functional teams—including data scientists, ML/GenAI engineers, data/cloud experts, and RPA developers—to turn business problems into viable, sustainable solutions using ML algorithms or GenAI architectures (e.g., RAG, LLMs).

Stakeholder Engagement: Work directly with business stakeholders to understand their needs, translate them into solution requirements, and provide actionable recommendations that align with business strategy.

Model Development & Deployment: Design and build both predictive ML models and GenAI solutions—from data preprocessing and feature engineering to model development, fine-tuning, evaluation, and deployment—leveraging Azure, Databricks, and other enterprise platforms.

GenAI-Specific Capabilities: Architect and implement Retrieval-Augmented Generation (RAG) systems, fine-tune LLMs, and apply advanced prompt engineering techniques to build chat-based tools, search augmentation solutions, and virtual assistants that deliver real business value.

Performance Monitoring & Validation: Conduct rigorous model evaluation and performance monitoring for both ML and GenAI models to ensure reliability, fairness, and compliance.

Expectations

  • Familiarity with Large Language Models (LLMs), prompt engineering, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) architectures.
  • Education: Bachelor’s Degree
  • Experience: Typically 4𠄵 years of hands-on experience developing and deploying ML and/or GenAI solutions in a business context, ideally within sales, operations, or enterprise functions.
  • Proficiency in Python for data manipulation, model development, and integration.
  • Experience with PySpark and working in Databricks for scalable data pipelines and model training.
  • Strong hands-on experience with Azure services (e.g., Azure Machine Learning, Azure AI Search, Azure OpenAI, Azure Functions, Azure Kubernetes Service).
  • Experience with containerization and deployment frameworks like Docker, AKS, or serverless options.

Advantages

  • Remote work (Romania)

Employer's offer

  • Salary package: 11.000-13.000 ron net
  • Meal tickets
  • Medical subscription at Medicover

Apply for this position

Are you suitable for this positon? Click on the apply button and upload your CV!

Share this position

Share this position on your social media platform to help a friend to find his/her dreamjob!

Generative AI/Machine Learning Engineer

Please provide your information!


Close

Similar Positions

Senior Dynamics 365 F&O Consultant

Remote2026.08.27.
ROU Bucharest remote senior Swicon Group is…

DCE Lead Engineer — Microsoft Dynamics 365 CE

Remote2026.08.27.
ROU Bucharest remote senior Swicon Group is…

Data Analyst

Hybrid2026.08.27.
ROU Bucharest hybrid medior Swicon Group is…

Mid-level Java Developers

Hybrid2026.08.27.
ROU Bucharest hybrid medior Swicon Group is…

Inginer Sisteme de Securitate

Hybrid2026.08.27.
ROU Bucharest hybrid medior Swicon Group is…

Junior BMS Engineer

OnSite2026.08.27.
ROU Bucharest onSite medior Swicon Group is…

Site Coordinator

OnSite2026.08.27.
ROU Bucharest onSite senior Swicon Group is…

Business Analyst (Claims)

Hybrid2026.08.26.
HUN Budapest hybrid medior Our partner provides…

Swicon Stories

Real people. Real challenges. Real impact.

„The whole hiring process was a really positive experience for me. I was given the opportunity to move forward professionally and to test myself in a new, more senior role. I was trusted from the start, and I had all the support I needed to take the next step in my career with confidence. They connected me with the right technical contact, and every question I had was answered quickly and clearly, so I never felt left on my own. Communication was smooth, each step built on the one before, and the whole process moved surprisingly fast and without a hitch.”

K. R. – Solution Architect

“Looking back over more than 15 years, Swicon gets top marks from me: it has built itself into a fast-growing multinational, and all the while it has backed its people professionally across the board — it even supported my PMP certification with a proper training course.”

B. T. – Sr. Projectmanager

“I’ve been working with SWICON for almost a year and a half now, and it’s been a positive experience from start to finish. Both the hiring process and the admin side of things ran smoothly, and whenever I had a question, help came quickly. I particularly appreciate how kind and helpful my colleagues are, and the fact that the company genuinely invests in building a community — there are regular programmes and events.
I’ve grown a lot professionally in my time here, too. My tasks and my responsibilities have kept widening, I’ve been able to take on more complex challenges, and I’ve also had the chance to support and mentor others. On the IT side I’ve been given opportunities that made a real difference to where I am professionally, so on the whole I see SWICON as a supportive place that gives you genuine room to grow.”

M. L. – Software developer

Powering mission – critical operations across Europe

200+

successful transformation programs

$1.5B

business value created

50M

secure transactions every month

20+

years of enterprise expertise

450+

senior experts

Trusted by enterprise leaders across the world

ROU Bucharest remote medior SwiconGroup has been a leading member of the IT arena for almost 15 years and has been present in Romania since our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance, and telecommunication companies, as well as large FMCG corporations and SSCs, amongst our highly prestigious partners. Accelerate GenAI & ML Adoption: Drive the adoption of Generative AI and Machine Learning technologies.Use Case Validation & Reusability: Collaborate with the AI & Automation Product Owner to validate backlog priorities, assess technical feasibility, and determine whether existing ML or GenAI assets can be scaled or adapted for new use cases.End-to-End Solution Delivery: Partner with cross-functional teams—including data scientists, ML/GenAI engineers, data/cloud experts, and RPA developers—to turn business problems into viable, sustainable solutions using ML algorithms or GenAI architectures (e.g., RAG, LLMs).Stakeholder Engagement: Work directly with business stakeholders to understand their needs, translate them into solution requirements, and provide actionable recommendations that align with business strategy.Model Development & Deployment: Design and build both predictive ML models and GenAI solutions—from data preprocessing and feature engineering to model development, fine-tuning, evaluation, and deployment—leveraging Azure, Databricks, and other enterprise platforms.GenAI-Specific Capabilities: Architect and implement Retrieval-Augmented Generation (RAG) systems, fine-tune LLMs, and apply advanced prompt engineering techniques to build chat-based tools, search augmentation solutions, and virtual assistants that deliver real business value.Performance Monitoring & Validation: Conduct rigorous model evaluation and performance monitoring for both ML and GenAI models to ensure reliability, fairness, and compliance. Accelerate GenAI & ML Adoption: Drive the adoption of Generative AI and Machine Learning technologies.Use Case Validation & Reusability: Collaborate with the AI & Automation Product Owner to validate backlog priorities, assess technical feasibility, and determine whether existing ML or GenAI assets can be scaled or adapted for new use cases.End-to-End Solution Delivery: Partner with cross-functional teams—including data scientists, ML/GenAI engineers, data/cloud experts, and RPA developers—to turn business problems into viable, sustainable solutions using ML algorithms or GenAI architectures (e.g., RAG, LLMs).Stakeholder Engagement: Work directly with business stakeholders to understand their needs, translate them into solution requirements, and provide actionable recommendations that align with business strategy.Model Development & Deployment: Design and build both predictive ML models and GenAI solutions—from data preprocessing and feature engineering to model development, fine-tuning, evaluation, and deployment—leveraging Azure, Databricks, and other enterprise platforms.GenAI-Specific Capabilities: Architect and implement Retrieval-Augmented Generation (RAG) systems, fine-tune LLMs, and apply advanced prompt engineering techniques to build chat-based tools, search augmentation solutions, and virtual assistants that deliver real business value.Performance Monitoring & Validation: Conduct rigorous model evaluation and performance monitoring for both ML and GenAI models to ensure reliability, fairness, and compliance. Familiarity with Large Language Models (LLMs), prompt engineering, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) architectures.Education: Bachelor’s DegreeExperience: Typically 4𠄵 years of hands-on experience developing and deploying ML and/or GenAI solutions in a business context, ideally within sales, operations, or enterprise functions.Proficiency in Python for data manipulation, model development, and integration.Experience with PySpark and working in Databricks for scalable data pipelines and model training.Strong hands-on experience with Azure services (e.g., Azure Machine Learning, Azure AI Search, Azure OpenAI, Azure Functions, Azure Kubernetes Service).Experience with containerization and deployment frameworks like Docker, AKS, or serverless options. Remote work (Romania) Salary package: 11.000-13.000 ron netMeal ticketsMedical subscription at Medicover