Senior ML Engineer

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 Responsibilities • 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. Qualifications • 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 *We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*