AI and Machine Learning Engineer

Company Description

Publicis Re:Sources is the core of Publicis Groupe, the world's most valuable agency cluster. We are the only full-service, cradle-to-grave shared service organization in this sector, allowing Groupe agencies to excel in what they do: innovating and transforming for their customers.

Founded in 1998 as a tiny team to service a handful of Publicis Groupe companies, Publicis Re:Sources has expanded to over 5,000 employees in more than 66 nations. We offer technology solutions and business services such as finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk management.

We consistently evolve to keep pace with our ever-shifting communications sector and thrive on an innovative spirit felt worldwide. Discover more about Publicis Re:Sources and the Publicis Groupe agencies we back at http://www.publicisresources.com/.

Job Description

Skills (required)

• Exceptional programming abilities in languages like Python, SQL, and so on.
• Proven experience in designing and deploying Machine Learning and Deep Learning solutions with libraries and frameworks like TensorFlow/, Scikit-learn, OpenCV and/or Keras.
• Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms (such as Bagging, Boosting, Neural Network (CNN/RNN), LSTM, BERT, RoBERTa/Transformer Architecture) etc.
• Understanding of math, probability, and statistics.
• Preferable experience with one of the SQL and/or No SQL database like SQL Server/MySQL, and/or MongoDB, etc.

Skills (nice to have)

• Generative AI / Gen AI, LLM (Large Language Model)
• Object Recognition, OCR, Audio, and Video analytics
• Experience with : MLFlow, Kubeflow, SageMaker, CI/CD Pipeline, etc.
• Experience with Docker, Kubernetes is a plus
• Knowledge in Flask/Django will be an added advantage
• Experience with cloud infrastructure like AWS, Azure, or GCP

Responsibilities

• Work together with software engineers, business stakeholders, and/or domain experts to convert business needs into product features, tools, projects, AI/ML, NLP, and deep learning solutions.
• Design, execute, and deploy AI/ML solutions.
• Preprocess and examine large databases to identify patterns, trends, and insights.
• Evaluate, validate, and optimize AI/ML models to ensure their precision, efficiency, and applicability.
• Launch applications and AI/ML model into a cloud environment like AWS/Azure/GCP, etc.
• Monitor and maintain the performance of AI/ML models in production settings, identifying opportunities for enhancements and updating models as required.
• Document AI/ML model development processes, outcomes, and lessons learned to facilitate knowledge transfer and continual improvement.

Qualifications

Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Additional Information

Attributes/behaviours:

• Ability to design, craft, implement complex requirements.
• Pro-active support to the business is a key attribute for this role with a customer service approach to link both systems requirements with business results.