AI Text & Speech Analyst

Job Title

AI Text & Speech Analyst

Duration

12 Months + contract to hire

Location

Remote

Essential Duties

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Design, develop, and refine automated speech recognition models and contextual text mapping techniques to ensure high-quality outputs for specific use cases.
• Employ techniques to guide and enhance Automated Speech Response and text harvesting models, ensuring that the AI interactions are effective and efficient.
• Develop effective AI text and speech services through proficient programming and utilization or ASR engines using standard and fit-for-purpose frameworks. 
• Collaborate with cross-functional teams to ensure that the models are aligned with the business requirements and objectives.
• Conduct testing of variants and analyzing model behaviors, including deviations and degradations within given frameworks.
• Stay up to date with advancements in speech recognition and text harvesting technology and engineering best practices.
• Collaborate with product managers, data scientists, ML engineers, and business stakeholders to integrate AI models into business processes, products, or workflows.
• Create documentation and reusable libraries for internal and external use.
• Partner with the MLOps Engineer and other stakeholders to establish and implement observability and monitoring frameworks to adequately and timely identify degradations and potential ethical/bias issues.
• Establish and implement explainability frameworks.
• Provide recommendations for improvement in the areas of AI acceptable use and ethics, collaborating with Legal and Compliance to ensure adherence.

AI GOVERNANCE AND SECURITY

• Ensure data quality and integrity as they apply to text and speech models.
• Ensure that data security protocols are followed in the definition and implementation of AI solutions in accordance with regulatory requirements and company policies.
• Develop safety filters and guide the ethical use of prompts to prevent biased or harmful responses.

COLLABORATION AND STRATEGY

• Work closely with IT, products, data engineers, data analysts, data scientists, and business stakeholders to understand needs, data requirements, and implement solutions.
• Provide technical leadership and mentorship to junior data team members.
• Provide training and support to team members on effective frameworks and best practices.
• Stay updated on emerging technologies and best practices, making recommendations for continuous improvement.

ADDITIONAL DUTIES AND RESPONSIBILITIES 

• Support model observability efforts to ensure adherence to company policies and enforce governance standards.
• Other duties as assigned by manager or project needs

Job Description:

JOB PURPOSE:

• This role at is as unique as it is rewarding because of the IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).
• The Text and Speech Analyst is responsible for analyzing, interpreting, and evaluating language and text data to facilitate effective utilization across various contexts in support of our AI-powered solutions. This role examines written, spoken, and digital communications to identify patterns, trends, and opportunities related to language and speech to benefit our members in a cost-effective manner. 
• The Text and Speech Analyst collaborates with cross-functional teams in the design, development, testing, and deployment of text and speech solutions that produce accurate, relevant, and high-quality outputs across various business applications. The ideal candidate will have a strong background in AI, natural language processing, and neural networks.

Job Qualifications

QUALIFICATIONS

• Working knowledge of ASR engines using frameworks like Wav2vec or Deep Speech.
• Working knowledge of Azure AI Services.
• Advanced programming knowledge, including mastery of programming languages such as Python, C++, Java, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. 
• Cloud computing and knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. 
• Expertise in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc. 
• Functional knowledge of Snowflake and/or Databricks for AI capabilities and data management.
• Hands on experience on current deep learning (DL) techniques like Convolutional neural networks (CNNs), connectionist temporal classification (CTC) used for speech processing. 
• Working knowledge of techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
• Exposure to open-source models such as Kaldi or OpenAI Whisper.
• Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data, including the cleaning, labeling, and augmenting of data to train and improve AI models.
• Proficiency in Transformer Models like BERT-base. ELMo, ULM-FIT.
• Strong understanding of natural language processing concepts and techniques.
• Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud).
• Experience with AI tools, such as MS Azure ML, Databricks AI, Snowflake CortexAI, Dataiku.
• Strong knowledge of data governance, data security, and compliance practices.
• Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).
• Hands on experience with MLOps processes.