Weekday AI
SeniorDataScientist
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“Senior Data Scientist at Weekday AI. Skills: Natural Language Processing, Conversational AI, Speech Recognition, Python, Machine Learning, Deep Learning. Lead end-to-end model development. Create models for conversational intelligence”
What You'll Achieve.
Ensure AI can manage complex conversations with high accuracy; Deliver interactions that sound natural; Build systems capable of processing hundreds of thousands of daily conversations with exceptional accuracy and natural language understanding; Maintain competitive advantage; Continuously improve using expanding conversation datasets; Ensure voice AI delivers natural, real-time conversations without any comprehension difficulties; Make a direct impact on model accuracy, performance, and overall AI capabilities; Develop mission-critical AI systems supporting hundreds of thousands of natural-sounding conversations each day; Enhance transcription accuracy
Industry & Context.
Enhance performance; Pinpoint and address model inefficiencies; Identify solutions
What They're Looking For.
Must Have
More than 5 years of experience in data science, machine learning, or a related discipline, Solid expertise in natural language processing (NLP) and conversational AI systems, Hands-on experience with speech recognition and text-to-speech technologies, Proficient in Python along with data science libraries such as NumPy, Pandas, and scikit-learn, AI & ML Expertise, Experience in fine-tuning large language models (LLMs) for specific domains or tasks, Skilled at analyzing large-scale conversational data and deriving actionable insights, Familiar with customer intelligence systems and adept at building data-driven applications, Understanding of speech-to-text optimization techniques to enhance transcription accuracy, Data Engineering & Analytics, Experienced in processing large volumes of data (handling hundreds of thousands of conversations), Capable of designing and implementing data pipelines to enable ongoing model improvements, Knowledgeable in feature engineering methods tailored for conversational data, Experienced with A testing strategies to assess model enhancements, Startup Mentality, Developed and deployed machine learning models in production environments, Comfortable working in a fast-paced setting where you take ownership of critical data science decisions, Collaborative mindset, Growth-oriented and enthusiastic about creating scalable customer intelligence systems, User-focused, Effective Communication, Punctuality, Ownership, Perseverance, Curiosity, Entrepreneurial Spirit, Natural Language Processing, Python
Nice to Have
Hugging Face, TensorFlow, PyTorch
What You'll Do.
Lead end-to-end model development
Create models for conversational intelligence
Drive innovation through research
Design machine learning pipelines
Gathering requirements
Implementing and deploying ML features
Processing hundreds of thousands of daily conversations
Keeping up-to-date with the latest NLP and speech technology advancements
Reviewing research papers
Applying state-of-the-art methods
scalable infrastructure
Pinpointing and addressing model inefficiencies
Ensuring voice AI delivers natural
real-time conversations
How You'll Work.
Team & Collaboration
Collaborate with engineering teams; Collaborate with product managers; Collaborate with founders; Communicating insights to stakeholders
Communication Scope
Communicate clearly and thoroughly, both verbally and in writing; Explaining complex technical ideas
Full Job Description
**This role is for one of the Weekday's clients** **Salary range: Rs 3000000 - Rs 6000000 (ie INR 30 - 60 LPA) ** Min Experience: 5 years Location: Bengaluru JobType: full-time We are seeking a **Senior Data Scientist** to develop and enhance the AI models that drive our voice AI platform. You will be the mastermind behind our technology, ensuring that our AI can manage complex conversations with high accuracy and deliver interactions that sound natural. Your responsibilities will include: * **Lead end-to-end model development** – oversee the entire process from gathering requirements and designing algorithms to implementing and deploying ML features through their full lifecycle. * **Create models for conversational intelligence** – build systems capable of processing hundreds of thousands of daily conversations with exceptional accuracy and natural language understanding. * **Drive innovation through research** – keep up-to-date with the latest NLP and speech technology advancements, review research papers, and apply state-of-the-art methods to maintain our competitive advantage. * **Design machine learning pipelines** – develop reliable, scalable infrastructure that continuously improves using our expanding conversation datasets. * **Enhance performance** – pinpoint and address model inefficiencies to ensure our voice AI delivers natural, real-time conversations without any comprehension difficulties. ### **🚀 Why This Role Is Exciting** * You’ll have a **front-row opportunity** to create and refine state-of-the-art AI models for voice intelligence. * You’ll engage with **natural language understanding, speech recognition, and conversational AI** technologies. * You will build models that facilitate conversations for some of India’s largest enterprises _(Our voice AI technology has been validated by technical leaders at companies such as Paytm)_. * You’ll make a **direct impact** on model accuracy, performance, and the overall AI capabilities of the company. * You
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