Qualysoft1mo ago

Senior ML Engineer

Romania·BucharestFull-timesenior

OtherMachine Learning EngineerData

4 views0 saves0 applied

Apply Now

Quick Summary

Overview

About Qualysoft · 25 years of experience in software engineering, established in Vienna, Austria · Active in Romania since 2007, with office in central Bucharest (Bd.

Technical Tools

airflowawsgcpnumpypandaspythonscikit-learnsparkecommercemachine-learningmentoring

About Qualysoft

· 25 years of experience in software engineering, established in Vienna, Austria

· Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)

· Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development

· We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms

· Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech

· Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia

· International team of 500+ software engineers

· Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner

· Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.

· Project beneficiaries ranging from large-scale enterprises to startups

· Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions

· Quality-first mindset, culture of innovation, and long-term client partnerships

· Global and local reach – trusted by key industry players in Europe and the US

• Build, train, and deploy machine learning models efficiently with the managed infrastructure and automation capabilities of AWS SageMaker;

• Utilize Amazon Redshift and S3 for data storage, processing, and analysis;

• Utilize Apache Spark and Airflow for large-scale data processing and pipeline orchestration;

• Manage and optimize machine learning workloads on Amazon EMR;

• Proficiency in Python and its data science libraries (e.g., NumPy, Pandas, Scikit-learn) for data manipulation, modeling, and analysis;

• Collaborate with data engineers to ensure seamless integration of ML models into production environments;

• Implement best practices for model versioning, monitoring, and continuous deployment.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field;

• Proven experience designing, building, and deploying production-grade machine learning models;

• Extensive experience with AWS services like SageMaker, Redshift, S3, EMR, and other relevant AWS data and ML services;

• Strong proficiency in Python and its data science (e.g., NumPy, Pandas, Scikit-learn etc.);

• Expertise in Airflow and Spark;

• Excellent problem-solving and analytical skills;

• Strong communication and collaboration skills.

What We Offer

· Premium medical package

· Lunch Tickets & Pluxee Card

· Bookster subscription

· 13th salary/yearly bonuses

· Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational

· A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities

· Flexible working program and openness to remote work

· Collaborative mindset – employees shape their own benefits, tools, team events and internal practices

· Diverse opportunities in Software Development with international exposure

· Flexibility to choose projects aligned with your career path and technical goals

· Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)

· Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary