Machine Learning Engineer

Company Description

Read this first: Even if you do not fulfill all the criteria within the job description, we still encourage you to apply, given you possess the necessary skills for this job. We wish to learn more about your skills and experience to determine how you may contribute to our team.

The Publicis Media Technology group is a centralized division within Publicis Media, the media-focused solution hub of Publicis Groupe [Euronext Paris FR0000130577, CAC 40]. PM Technology drives transformation across Publicis Media’s agency brands through a scalable and standardized approach to data and technology. Powered by a leading data/tech platform; best-in-class technology management and consultancy services; integrated workflow solutions; unique products and client solution stacks; and strategic management of all major data and technology partnerships, PM Technology homes over 100 engineers, data architects, consultants, product managers, and a sturdy project management operation, thereby globally scaling innovation.

Job Description

Looking for an engineer with expertise in Machine Learning and LLM-based development. The role entails the development, implementation, and continuous support of ML models. Previous experience in using Python and integrating models into existing architectures in cloud environments using and developing APIs is required.

The candidate should possess deep understanding of Machine Learning and AI concepts, differentiate between them, and articulate specific data requirements. Proficiency in LLM and prompt engineering is particularly required. The candidate should also understand the data flow, be able to extract and clean data into appropriate structures for model-training. Understanding of both synchronous and asynchronous data pipelines and training methodologies is important to guide a data engineering team towards the best solution.

Main Responsibilities: 

• Design and develop ML AI models to use NLP to solve business issues.
• Have worked with LLMs and integrated them with APIs. I.e., Open AI, Hugging Face etc,
• Stay updated about recent developments in ML and LLMs,
• Have experience with embeddings and vector search platforms, such as Pinecone, etc.
• Experience in prompt engineering and using augmented data with LLMs,
• Work closely with the Dev Lead, Architect and other data providers to ensure best practice implementation.
• Ability to build and deploy models, and work with DevOps to automate processes.
• Analyse data for trends and patterns, interpreting data with clear objectives in mind.
• Research and apply new NLP/ML innovations in order to stay updated with industry developments.
• Experience in comparing model effectiveness, and making recommendations for model improvements or alternative techniques.

Qualifications

• A bachelor's degree in statistics, mathematics, computer science or equivalent is required, however, a master’s degree is preferred.
• At least 3 years of experience building AI related models using Python or equivalent.
• Expertise in different model architectures, specifically Time Series models, Variational Auto Encoders, LLMs.
• Proficiency in ML techniques around Anomaly Detection, generative models and NLP.
• Experience using Python and associated ML and DS libraries.
• Experience with Data pipelining and preprocessing strategies.
• Experience with NLP services and knowledge of Prompt Engineering and Embeddings.
• Understanding of pipeline automation and monitoring.
• Understanding of data security and compliance.
• Database knowledge, especially MSSQL Server.
• Ability to quickly comprehend complex consumer behaviour, business concepts, including financial, operational, and strategic aspects.
• Strong communication and interpersonal skills; ability to work effectively in a team environment; experience communicating with client stakeholders and senior leadership about complex topics.
• Proficient knowledge of relational database concepts with the capacity to carry out complex queries in a SQL Server environment.

Additional Information

Publicis Media offers resources and benefits to support all our employees. Along with comprehensive health and dental benefits, a 401K match program, generous leave, and work-from-home flexibility, we aim to support work-life balance. We encourage involvement in over 13 Business Resource Groups, including groups for Women, People of Colour, Veterans, LGTBQ community and allies, Parents, and more.

Please inform your Publicis Recruiter if you require any adjustments to make your interview more accessible and comfortable.

We understand that when an individual is provided for holistically, they can perform their best. Hence, apart from comprehensive health, dental, 401K matching, and flexible work hours, we offer access to over 16+ Business Resource Groups, mentorship schemes and training opportunities, wellness and enrichment programmes, extensive caregiver and new-parent benefits, tuition reimbursement, and much more.

Your information will be kept confidential in accordance with EEO guidelines.

REQ # 23-6757