Overview
Détail du poste
Meltwater’s Consumer Intelligence AI Team is looking for a Machine Learning Engineer who will BE working on developing new innovative Natural Language Processing or Computer Vision features relying on the literature’s state of the art. Those features are meant to BE integrated in our Consumer Intelligence platform meaning that your work will BE used by our customers.
We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. You will take complete ownership of the AI features you develop : from their conception to their implementation in the product.
Our team is organized over 3 objectives : innovation, research and production.
Innovation : We leverage our AI expertise to constantly imagine new business oriented features to… enhance our products.
Research : To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.
Production : We make a point of designing and developing our algorithms in a software engineering fashion. Scalability is our goal. The models that we develop are running over billions of documents (text or image) per day.
What You’ll Do :
Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
What We Offer :
Enjoy 25 days of annual paid time off plus an additional day off on your birthday !
Receive a Lunchr voucher, enhancing your daily dining experience with convenient and flexible meal options
Benefit from a 50% transportation refund or bike km refund, easing your commuting expenses and promoting sustainable travel choices
Access to Henner for healthcare insurance coverage
Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
Energetic work environment with a hybrid work style, providing the balance you need
Benefit from our family leave program, which grows with your tenure at Meltwater.
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Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Le profil recherché
2-3 years of experience as a Machine Learning or NLP/CV engineer
Passion for AI, with a constant drive to stay updated and ahead of the curve
Demonstrable experience with the full lifecycle of machine learning models – from development to deployment and monitoring
You have strong engineering and coding skills, with the ability to write high quality production grade code. Proficiency in Python, Scala, Java and/or other equivalent languages
Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach
MS or PhD in Computer Science, Engineering or a related technical field
Experience building LLM applications or RAG products using Python (Langchain, LlamaIndex, Guardrails, etc.)
Proven track record of delivering NLP models to solve industry-scale problem
Experience with MLOPS and DEVOPS principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
Experience with distributed frameworks in a production context (Spark, Kafka…) is a plus
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Experience with Information Retrieval systems in a production environment (Elasticsearch, Milvius, Vespa…) is a plus
Company:
Meltwater
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
About Meltwater
Meltwater is a social listening platform that offers businesses insights into online reputation, industry trends, and customer behavior.