MLOps Engineer

About Intapp:

Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS solutions, collaborating with the world’s top firms globally across accounting, consulting, investment banking, legal, private capital, and real assets. With 20+ years of industry expertise, Intapp's "Intelligence Applied" approach is transforming how businesses operate and leverages a strategic partnership with Microsoft in delivering industry cloud solutions. The company culture promotes accountability, responsibility, and growth in a diverse, inclusive, and collaborative environment. Since going public in 2021 and trading on the NASDAQ, Intapp has expanded to over 1,200 employees globally with development centers in Palo Alto, Charlotte, Belfast, Berlin and Lisbon.

About Lisbon:

Intapp is excited to expand its Research & Development center in Lisbon, aiming to add 50 new team members in the next year. Lisbon’s tech ecosystem and vibrant community make it an ideal destination for engineers and tech professionals from around the world. The city's reputation for innovation aligns perfectly with Intapp’s mission to leverage AI and cloud-based solutions. Lisbon offers an ideal work-life balance and quality of life, making it an attractive city for top talent. Joining Intapp in Lisbon provides a unique opportunity to help shape the new flagship development center and contribute to high-impact projects in a thriving tech environment.

Position Overview: 

As a MLOps Engineer, you will play a crucial role in enabling applied AI. Your main focus will be on the design, build, and maintenance of secure, scalable and efficient ML Platform, with a platform as a product mindset, that automates the end-to-end life cycle for traditional ML models and LLM models, as part of the Cloud platforms engineering (CPE) directorate. CPE’s mission is to enable our Engineering teams to ship value faster, securely, efficiently and reliably. 

What you will do: 

• 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. 
    

What you need: 
  

• 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. 
    

Bonus if you have: 

• Experience with data governance and ensuring compliance with data security regulations. 

• Familiarity with performance tuning of big data technologies. 

• LLM Model development 

What you'll gain at Intapp:

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:

• A state-of-the-art facility with fully stocked kitchen – only 2-minute walk to/from Gare do Oriente

• A hybrid work system supporting agile and flexible hours.

• Attractive compensation – including competitive base pay and performance based variable pay

• Equity/Stock in Intapp

• Opportunity to travel to other development centers for product training and cross-site collaboration.

• One time home office stipend

• Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer's leave and paid sick days.

• Meal allowance.

• Reimbursement for training towards continuing education

#Li-MT1

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks if applicable to the position.

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.