Lead / Senior AI Scientist (Speech and Audio)

2 weeks ago

Varanasi, India 8bit.ai Full time

Job Title: Lead / Senior AI Scientist (Speech and Audio)

Workplace Type: On-Site

Job Location: Hyderabad, Telangana, India

Job Type: Full-time


About 8BIT.AI: 8Bit AI (backed by CtrlS Datacenters Ltd. and Cloud4C group) is a company incorporated in Singapore, India and the US. 8bit.ai stands at the forefront of empowering universal access to advanced computational technologies and artificial intelligence. With a robust suite of services that includes an Accelerated Computing Cloud, Intelligent Digital Agents, and Advanced Managed AI Services, the company caters to the diverse needs of its clientele by driving efficiency and innovation. Leveraging the prowess of cutting-edge xPUs, each client's AI aspirations are brought to fruition with the full support of the industry-leading CtrlS-Cloud4C group. As a trailblazer in intelligent datacenter solutions and multi-cloud managed services, 8bit.ai is committed to elevating the potential of AI across all sectors, making it a true partner in technological evolution.


Responsibility:

This is a full-time on-site customer-facing role located in Hyderabad for a Lead or Senior AI Scientist specializing in Speech and Audio with following responsibilities:


  • Collaborate with prospective clients to elicit their needs, then apply advanced expertise in artificial intelligence, specifically Speech and Audio, to develop innovative algorithms and applications that address those needs.
  • Translate state-of-the-art AI research into sustainable and excellently engineered software that exceeds scalability and reliability benchmarks in a production environment.
  • Strengthen the symbiosis between engineering and data science teams, promoting a culture of collective responsibility for project outcomes, delivery and shared learning.
  • Exercise full responsibility for delivering high-quality code and thoroughly tested machine learning models, adhering strictly to predetermined deadlines.
  • Keep abreast of industry advancements in AI and machine learning, incorporating this knowledge into team practices and strategic planning.
  • Mentor freshers and interns.


Requirements/Eligibility:


Educational and Industry Experience:

  • Candidates must possess a Bachelor’s degree and 4 to 6 years of relevant industry experience, or a Master’s degree accompanied by 2 to 4 years of industry experience. PhD freshers can also apply.
  • The degree should be in Computer Science, Data Science, Machine Learning, or Computer Engineering, acquired from a premier institute. In India, this would include institutions like the IITs, IISc, while globally, the degree should be from a university that ranks < 300 on the QS World University Rankings.


Technical:

  • Industrial experience must be in steering and executing Artificial Intelligence (AI) and Machine Learning (ML) projects, with a specialized focus on Speech and Audio Eg: TTS/STT, ASR, speaker recognition, audio classification, noise suppression, audio enhancement.
  • Extensive proficiency in Python programming tailored to developing and implementing machine learning algorithms and adeptness in integrating advanced software engineering techniques into AI system design.
  • Experience with relevant libraries such as Librosa, PyDub, SoundFile, torchaudio and toolkits/frameworks Kaldi, ESPnet, WeNet, SpeechBrain.
  • Proficiency in leading deep learning frameworks including TensorFlow, PyTorch, and Keras, with an emphasis on crafting and customizing models for complex data science challenges.
  • Lead the research, design, development, and evaluation of speech and audio processing models, including Automatic Speech Recognition (ASR), Text-to-Speech (TTS), speaker recognition/diarization, audio classification, and enhancement.
  • Analyze large datasets of speech and audio data to identify patterns, trends, and insights.
  • Deep understanding of signal processing, acoustics, machine learning, deep learning, and statistical modelling.
  • Solid experience with machine learning lifecycle management tools such as MLflow or Kubeflow and proficiency in utilizing major cloud service providers’ ML environments like AWS Sagemaker, Azure ML, and Google AI Platform for seamless model training and deployment.
  • Prior experience or knowledge of the utilization of Databricks for large-scale data processing and familiarity with robust ML ecosystems which supports exploratory data analysis, prototyping, and orchestrating ML pipelines.
  • An uncompromised dedication to crafting high-quality engineering documentation, emphasizing clear and concise descriptions, reproducible results, and maintaining excellence in technical reporting and code documentation.


Other Skills:

  • This client-facing role requires excellent written and verbal communication skills in English, as well as a professional demeanor and presentation.
  • Demonstrated ability to excel in a collaborative setting, showcasing a history of successfully partnering with cross-disciplinary teams to drive project milestones and innovation.
  • Exceptional strategic thinking and problem-solving skills, paired with a proven ability to navigate complex projects both autonomously and as part of a team, consistently meeting and exceeding tight deadlines.


What We Offer:

  • The opportunity to be part of a high-growth, creative, and forward-thinking team.
  • Competitive salary and benefits package.
  • A creative workspace that encourages innovation and professional growth.
  • Access to a state-of-the-art GPU computing cluster for experimentation and development.

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