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Audio Speech Machine Learning Jobs in Springfield, MA

Interon IT Solutions

IBM Watson Developer

Hartford, CT · On-site

Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications ... Tuning and enhancing Speech to Text models. Required Qualifications * 8+ years software delivery ...

Varsity Tutors

Conversational French Tutor

Hartford, CT · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Adapts instruction using role-play scenarios, authentic audio materials, and thematic conversation ...

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Audio Speech Machine Learning information

What are some common challenges faced when developing machine learning models for audio speech applications?

A key challenge in audio speech machine learning roles is dealing with diverse and noisy audio data, which can significantly affect model accuracy. Additionally, models must be robust to different accents, languages, and speaking styles, requiring large and varied datasets for training and validation. Collaboration with data engineers, linguists, and software developers is often necessary to ensure high-quality data pipelines and model integration into production systems. Staying updated with the latest research and optimizing models for real-time performance are also ongoing aspects of the role.

What is an Audio Speech Machine Learning Engineer?

An Audio Speech Machine Learning Engineer is a specialized professional who designs, develops, and implements machine learning models that process and analyze audio and speech data. Their work involves tasks like speech recognition, speaker identification, and audio event detection by leveraging algorithms and large datasets. These engineers collaborate with data scientists, software developers, and linguists to create applications such as voice assistants, transcription tools, and automated customer service systems. Expertise in signal processing, deep learning frameworks, and programming languages like Python is crucial for this role.

What is the difference between Audio Speech Machine Learning vs Speech Data Analyst?

AspectAudio Speech Machine LearningSpeech Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Data Analysis, Statistics, or related fields; experience with data tools
Work EnvironmentResearch labs, tech companies, AI startupsData analysis teams, research institutions, tech firms
Industry UsageDeveloping speech recognition, voice assistants, NLP applicationsAnalyzing speech datasets, improving speech models, reporting insights

Audio Speech Machine Learning focuses on developing algorithms for speech recognition and processing, often involving model training and AI development. Speech Data Analysts interpret speech data, generate insights, and support model improvements. Both roles require strong analytical skills, but their core tasks differ: one builds models, the other analyzes data.

What are the key skills and qualifications needed to thrive as an Audio Speech Machine Learning Engineer, and why are they important?

To thrive as an Audio Speech Machine Learning Engineer, you need a solid background in machine learning, signal processing, and programming (typically Python), along with a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow or PyTorch, audio processing libraries (such as Librosa), and experience with speech datasets and ASR systems are commonly required. Critical soft skills include problem-solving, innovation, and effective communication for collaborating with cross-functional teams. These skills are essential to develop accurate, scalable speech recognition systems that advance voice-driven technology.
What are popular job titles related to Audio Speech Machine Learning jobs in Springfield, MA? For Audio Speech Machine Learning jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Audio Speech Machine Learning jobs in Springfield, MA look for? The top searched job categories for Audio Speech Machine Learning jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Audio Speech Machine Learning jobs? Cities near Springfield, MA with the most Audio Speech Machine Learning job openings:
Audio Speech Machine Learning jobs near you

IBM Watson Developer

Interon IT Solutions

Hartford, CT • On-site

Contractor

Posted 7 days ago

Job description

Job Title: IBM Watson Developer

Location: Hartford, CT (Onsite )

Duration: Long-term

Contract Type-#W2

Interview: 2 rounds (face-to-face)

Position Summary

In this role, you will architect, implement, and optimize rich conversational flows using IBM’s Conversational AI stack, while integrating enterprise data sources to deliver context-aware, trustworthy responses. You’ll collaborate with product, UI/UX, and backend teams to define requirements, influence features, and ensure scalable, user-centric solutions.

 

Key Responsibilities

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems.
  • Applying clean coding skills and best practices.
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfil intents.
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot.
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat).
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications.
  • Integrate chatbot solutions with multiple platforms.
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies.
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities.
  • Tuning and enhancing Speech to Text models.

Required Qualifications

  • 8+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of Backend (server-side) development experience in Java, Node.js, or Python
  • 1+ years of multi-language experience in JavaScript/Typescript
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Prior work with IBM Watson Speech-to-Text, Watson Discovery, or similar voice processing and information retrieval technologies.
  • Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
  • Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents

 

Education:

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience required.