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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying Deep Learning and signal-processing models, with a strong focus on maintainability and scalability of MLOps tools. Possesses a user-centric mindset and effective communication skills to translate technical objectives and mentor team members.
Highest-signal resume keywords
Deep LearningSignal ProcessingPython ProgrammingMLOps ToolsAgile Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningSignal ProcessingPython ProgrammingSoftware Development Best PracticesDatabase ManagementContainerizationDeploymentMonitoringObservabilityAcoustic Processing
Soft Skills
Communication SkillsCollaborative Team SpiritMentoringUser-Centric MindsetPedagogical Skills
Tools & Technologies
MLOps ToolsDatabasesContainerizationOrchestration
Certifications & Qualifications
Master’s Degree in Software EngineeringMaster’s Degree in Computer ScienceMaster’s Degree in Deep LearningMaster’s Degree in Computer VisionMaster’s Degree in Acoustic Processing
Industry Keywords
Acoustic Signal ProcessingElectromagnetic Signal ProcessingTechnical VisionUser NeedsTechnical Project Estimation
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop, train and test Deep Learning or signal-processing models that will be delivered to the client
- Participate in upstream scoping to translate the client’s operational needs into technical objectives, proposing the solutions best suited to the challenges posed by the data or specific contexts
- Contribute to low-TRL projects on new data types to address emerging problems
- Ensure the maintainability and scalability of the various components of our MLOps tools that improve team productivity, including conducting periodic technology watch and proposing evolutions of the team’s technical vision
- Propose creative and innovative approaches to improve the performance of delivered detectors and the efficiency of our development work
- Mentor more junior team members by sharing your technical expertise and disseminating best practices
- Occasionally participate with the sales teams in the upstream scoping/estimation of a technical project
- Regularly travel to client sites, on average two to four days per month, to deploy our tools on target data
Requirements
What you’ll need- Master’s degree or equivalent in Software Engineering, Computer Science, Deep Learning, Computer Vision or Acoustic Processing
- More than 6 years of professional experience in acoustic or electromagnetic signal processing
- Experience putting software solutions into production, ideally on-prem (deployment, monitoring, observability)
- Strong knowledge of Python and software development best practices
- Good understanding of databases, orchestration and containerization
- Experience with agile development without applying it dogmatically
- Ability to communicate and defend a technical vision, with pedagogical skills, synthesis and guidance
- User-centric mindset, prioritizing the needs of end users
- Openness, strong communication skills and a collaborative team spirit
Benefits
Comp & perks- 📈 Profit sharing & bonus schemes
- 💼 Group savings plans with company match up to €3,000 / year
- ⏳ Time-savings account after 1 year of service
- 🏥 Family health insurance covered at 55%
- 🍽️ Swile card of €11 / working day, covered by Safran.AI at 59.1%
- 🚆 Up to 75% of commuting costs covered or a sustainable mobility allowance
- 🏡 Up to 3 days of remote work per week depending on the position
- 👶 10 weeks of second-parent leave & continuation of pay for pregnancy-related leave
- 📚 Training and skills development offerings
- 🧘 Wellness benefits: Moka Care, conferences & sports access via Wellpass