Speech Processing Researcher

Responsibilities:

Research and Development:

• Conduct cutting-edge research in speech processing, focusing on areas such as automatic speech recognition (ASR), voice synthesis, speaker diarization, and emotion analysis.
• Stay informed about the latest advancements in voice technology, NLP, and related fields, contributing to the evolution of our research initiatives.

Algorithm Development:

• Design and implement advanced algorithms to enhance the accuracy, naturalness, and contextual understanding of voice-based applications.
• Collaborate with interdisciplinary teams, including data scientists and software engineers, to integrate developed algorithms into our voice technology products.

Data Analysis:

• Analyze diverse datasets to extract valuable insights, ensuring the relevance and quality of data used in training and evaluating speech processing models.
• Work closely with data science teams to optimize data preprocessing and model training pipelines.

Prototyping and Innovation:

• Develop prototypes to showcase the potential and feasibility of novel speech processing concepts, pushing the boundaries of voice technology.
• Collaborate with cross-functional teams to transform successful prototypes into scalable, production-ready solutions.

Documentation and Communication:

• Document research methodologies, findings, and algorithmic approaches in clear and concise technical reports.
• Present research results to both technical and non-technical stakeholders, contributing to a culture of knowledge-sharing within the organization.

Qualifications:

• Ph.D. or equivalent experience in Computer Science, Electrical Engineering, or a related field, with a focus on speech processing and/or natural language processing.
• Demonstrated research expertise in voice technology, as evidenced by publications in reputable conferences or journals.
• Proficiency in programming languages such as Python, C++, or Java, with experience in developing and implementing speech processing algorithms.
• Strong background in deep learning frameworks (e.g., TensorFlow, PyTorch) and handson experience in building deep neural networks for voice-related applications.
• Familiarity with tools and libraries for signal processing, acoustic modeling, and NLP.

Preferred Skills:

• Industry experience in developing and deploying voice technology solutions.
• Knowledge of cloud computing platforms and services.
• Excellent communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Proven experience in eda (exploratory data analysis)
• Detection of extreme data-points & outliers
• Model-explainability
• Performance decay-analysis
• Ability to visualize higher dimensional data
• Ability to prevent over-fitting & underfitting of models
• Notable mention in competition (e g. kaggle) of similar domain (signal or speech processing)

Excellent candidates in all areas of speech processing, natural language processing and related

language technologies are encouraged to apply, including:

• Speech Processing
• Conversational AI and Spoken Dialogue Systems
• Natural Language Processing (particularly Multilingual NLP and Question Answering)
• NLP Applications (healthcare, cybersecurity, finance etc.)
• Knowledge representation and semantics for intelligent systems If you are passionate about shaping the future of voice technology and contributing to the evolution of NLP, we invite you to join our dynamic team at Intelsense AI.

Salary: Negotiable Location: Remote

Application Process:

• Please submit your resume, cover letter, and a list of relevant publications to hr@intelsense.ai.
• Please mention Speech Processing Researcher Application - [Your Full Name] in your email subject.
• N.B: Only Shortlisted candidates will call for an interview

Note: Intelsense AI is an equal-opportunity employer and evaluates applicants based on merit, without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristics. Shortlisted candidates will be contacted for further assessments and interviews.