Data Scientist & MLOps Engineer

Data Scientist & MLOps Engineer

Location: Madrid, Spain

*** IMPORTANT: ONLY CANDIDATES CURRENTLY RESIDING IN MADRID WILL BE CONSIDERED ***

Company Overview:

Evenco International is a leading UK-based event organizer servicing the asset management industry. Evenco Analytics is the fintech platform of Evenco International, revolutionizing the way in which investment fund buyers and sellers work by offering market intelligence derived from artificial intelligence. As we expand our operations, we are seeking a talented and forward-thinking Data Scientist & MLOps Engineer to join our dynamic team. This remote position based in Portugal offers a unique opportunity to contribute to the evolution of financial technology and make a significant impact on our data-driven strategies.

Your Role:

We are seeking a Data Scientist & MLOps Engineer to own the ML lifecycle. You won't just be building models; you will be building the machinery that runs them. You will be responsible for planning and executing the migration of AI capabilities to a cloud-based infrastructure., implementing MLOps best practices, and expanding our AI models tailored for the financial intelligence products.

Your Responsibilities will Include:

• Cloud Migration: Architect and execute the migration of existing local ML modelling pipelines to a cloud-based infrastructure
• MLOps & Pipeline Engineering: Design and implement automated CI/CD pipelines for ML (training, testing, and deployment).
• Data Engineering: Build and maintain scalable ETL/ELT pipelines to ensure high-quality data flow into our production models.
• Full-Lifecycle Ownership: Take ownership of the end-to-end ML lifecycle, from model packaging and deployment to monitoring for performance and data drift.
• Data Science: Utilize machine learning algorithms, including predictive modelling, and concept drift detection.
• Infrastructure Management: Use Infrastructure as Code to ensure our cloud environment is reproducible and scalable.

About you:

• Education: Degree in Computer Science, Data Science, Engineering, or a related technical field, Ms.c. is desirable.

Core Technical Skills:

• AWS Cloud Infrastructure: Proven experience designing, deploying, and managing cloud-native infrastructure and services on AWS services (e.g., SageMaker, EC2, Lambda, IAM, RDS/DynamoDB).
• MLOps & DevOps: Strong experience deploying, automating, and operating production data and machine learning workloads using Docker, Kubernetes, CI/CD pipelines, and workflow orchestration tools such as Apache Airflow, Kubeflow, or similar.
• Infrastructure as Code: Experience provisioning and managing cloud infrastructure using AWS CloudFormation or Terraform.
• Software Engineering: Advanced Python proficiency, experience with Git and collaborative development workflows, and a strong focus on writing clean, maintainable, production-ready code.

Valued Experience:

• Experience with NLP or LLM frameworks (e.g., HuggingFace, LangChain, or Vector Databases).
• Experience developing data or ML solutions for financial services or fintech.
• Communication: Professional English proficiency (written and spoken) and the ability to document complex technical systems.

Benefits:

• Competitive salary based on experience and qualifications.
• Professional development opportunities within the fintech and data science domains.
• Collaborative, engineering-driven culture where your ideas and technical expertise directly influence products and platform architecture.
• Opportunity to work with a diverse and talented team shaping the future of fintech in asset management.

We are an equal-opportunity employer and encourage candidates from all backgrounds to apply.

Join us in transforming the asset management landscape through data-driven insights and cutting-edge AI technology!