Apply on Kit Job: kitjob.in/job/4qlur2

Job Type: Full-time

Applied Scientist – Acoustic Signal Processing & Machine LearningUnderwater Sensing & ClassificationLocation: Pune, MaharashtraEmployment Type: Full-TimeExperience: 2–10 Years (Post M.Tech/MS/PhD)Education: M.Tech / MS (Research) / PhD RequiredAbout AltairAltair is a deep-tech aerospace and defence company developing advanced technologies across unmanned systems, maritime surveillance, underwater sensing, defence electronics, artificial intelligence, advanced composites, and next-generation military systems.One of our flagship programs is focused on building intelligent underwater sensing systems capable of detecting, identifying, classifying, and tracking underwater targets using advanced acoustic sensing, signal processing, and machine learning.We are seeking an exceptional Applied Scientist to help improve and build our system capable of identifying and classifying underwater acoustic signatures in complex real-world environments.Role OverviewThis is a research-intensive role at the intersection of:Acoustic Signal ProcessingStatistical Signal ProcessingMachine LearningTime-Series AnalyticsDetection & Classification SystemsThe successful candidate will develop algorithms that transform raw underwater acoustic data into actionable intelligence.The role requires strong mathematical and signal processing foundations. Candidates with expertise in sensing systems, acoustics, radar, sonar, RF, or related domains will be preferred over candidates whose experience is primarily in generative AI, LLM applications,



or enterprise data science.Key ResponsibilitiesSignal Processing & Algorithm DevelopmentDevelop and improve algorithms for:Acoustic signal detectionFeature extractionSpectral analysisTime-frequency analysisNoise suppression and filteringDetection and classificationSignature recognitionAnomaly detectionMulti-sensor data fusionAcoustic fingerprintingWork extensively with:Hydrophone dataVector sensor dataMulti-channel acoustic recordingsLow signal-to-noise ratio environmentsReal-world field datasetsMachine Learning & AIDesign and implement machine learning systems for:Acoustic target classificationSignature recognitionEvent detectionAnomaly detectionFew-shot learningSelf-supervised learningRepresentation learningModel adaptation under sparse-data conditionsEvaluate both classical and deep-learning approaches based on operational requirements.Applied ResearchStudy and implement state-of-the-art research in signal processing and machine learning.Translate research concepts into deployable engineering solutions.Design experiments and evaluation methodologies.Develop scalable training and validation pipelines.Contribute to the long-term technical roadmap of Altair's underwater sensing systems.Mandatory QualificationsEducationM.Tech, MS (Research), ME, or PhD in one of the following disciplines:Signal ProcessingElectrical EngineeringElectronics & Communication EngineeringApplied MathematicsPhysicsAcousticsOcean EngineeringCommunication SystemsControl SystemsMachine Learning (with significant signal processing background)B.Tech-only candidates will generally not be considered for this position.Required Technical SkillsStrong experience in several of the following areas:Signal ProcessingDigital Signal Processing (DSP)Statistical Signal ProcessingDetection & Estimation TheorySpectral AnalysisAdaptive FilteringTime-Frequency AnalysisFeature ExtractionTime-Series AnalyticsPattern RecognitionMachine LearningClassification SystemsAnomaly DetectionRepresentation LearningSelf-Supervised LearningProbabilistic ModelsDeep Learning for Sensor DataTime-Series Machine LearningProgrammingStrong proficiency in:PythonNumPySciPyPyTorchExperience developing robust research and production-quality code is desirable.Highly Preferred ExperienceCandidates with experience in one or more of the following domains will be strongly preferred:Acoustics & SonarUnderwater AcousticsSonar Signal ProcessingHydrophone Data AnalysisVector Sensor ProcessingPassive Acoustic MonitoringAcoustic Source LocalizationSignal Intelligence & SensingRadar Signal ProcessingRF Signal ClassificationElectronic Warfare SystemsSensor FusionTracking SystemsAudio & Acoustic AISpeech ProcessingAcoustic Scene AnalysisBioacousticsEnvironmental Acoustic MonitoringMusic Information RetrievalWhy Join AltairWork on one of the most technically challenging AI and sensing problems in defence.Build next-generation underwater awareness and classification systems.Operate at the intersection of acoustics, signal processing, machine learning, and maritime security.Collaborate with multidisciplinary teams spanning sensing, electronics, software, autonomy, and defence systems.Opportunity to create genuinely novel technology with real-world operational impact.Important NoteThis is not a generic AI, LLM, Generative AI, NLP, or Data Science role.Candidates with solid foundations in signal processing, sensing systems, acoustics, applied mathematics, radar, sonar, RF, or related engineering disciplines will be preferred over candidates whose experience is primarily in software product AI or enterprise analytics.Interested candidates are encouraged to share their CV, publications, patents, GitHub profile, and relevant research work.

Apply on Kit Job: kitjob.in/job/4qlur2

📌 Acoustic Signal Processing & Machine Learning Engine (India)
🏢 Altair Infrasec
📍 India