Remote- & Home Office Jobs in Portugal
Hybrid Senior Kafka Cloud Platform Engineer Senior Kafka Cloud Platform Engineer with verification
Intapp · Portugal · Hybrid
Hybrid Experienced Angular Front End Developer Experienced Angular Front End Developer with verification
Trimble Inc. · Portugal · Hybrid
Hybrid Customer Service Representative - P2P (EU) Customer Service Representative - P2P (EU) with verification
Binance · Portugal · Hybrid
Homeoffice Senior Node Developer with verification
Lumenalta (formerly Clevertech) · Portugal · Remote
Hybrid AI Engineer AI Engineer with verification
Lumenalta (formerly Clevertech) · Portugal · Hybrid
Hybrid Senior Software Engineer Senior Software Engineer with verification
Fluxon · Portugal · Hybrid
Homeoffice Principal Software Engineer, Endpoint with verification
Cisco ThousandEyes · Portugal · Remote
Homeoffice Senior Fullstack Engineer Javascript with verification
Lumenalta (formerly Clevertech) · Portugal · Remote
Homeoffice Senior Data Engineer - Snowflake with verification
Lumenalta (formerly Clevertech) · Portugal · Remote
Hybrid Senior MLOps Engineer Senior MLOps Engineer with verification
Intapp · Portugal · Hybrid
About the job
In this role, you will:
- Design and implement robust MLOps and LLMOps pipelines to automate and optimize machine learning model training, testing, deployment, and scaling.
- Collaborate with data scientists and software engineers to ensure operational criteria are met before deployment.
- Maintain and enhance continuous integration (CI) and continuous deployment (CD) environments for machine learning systems.
- Develop tools to improve visibility into the system's operation and to facilitate rapid troubleshooting and debugging.
- Foster a culture of continuous improvement by incorporating feedback and lessons learned into future ML deployments.
- Lead initiatives to increase the resilience and scalability of ML systems.
- Bachelor’s degree in computer science, Engineering, Statistics, or a related field.
- Experience in software development or data engineering, with at least 3 years focused on MLOps or similar roles.
- Proven track record in designing and deploying scalable machine learning systems in production.
- Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, MetaFlow, vLLM, Kubeflow, Jupyter notebook, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink).
- Expertise in containerization technologies (e.g., Docker, Kubernetes) and automation tools (e.g., Jenkins, GitLab CI).
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Experience with data governance and ensuring compliance with data security regulations.
- Familiarity with performance tuning of big data technologies.
- LLM Model development
Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:
- Competitive base salary plus variable compensation and equity
- Traditional comprehensive benefits, plus:
- Paid parental leave, including adoptive leave
- Paid Time Off
- Pension Contribution
- Family Formation benefit offered by Carrot
- Wellness programs and benefits provided by Calm and Modern Health
- Paid volunteer time off and donation matching for the causes you care about
- Meal Allowance
- Home office stipend
- Opportunities for personal growth and professional development supported by a community of talented professionals
- An open, collaborative environment where your background and contributions are valued
- Experience at a growing public company where you can make an impact and achieve your goals
- Open offices and kitchens stocked with beverages and snacks
Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.