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Engaged Employer

Avalara Technologies

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3.3

based on 294 Reviews

Video summary

170 Avalara Technologies Jobs

Machine Learning Lead - Natural Language Processing

Avalara

3.3

based on 294 Reviews

7-11 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Machine Learning Lead - Natural Language Processing

Avalara Technologies

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python Machine Learning HTML GCP Data Structures and Algorithms

+ 4 more

Job Description

What Youll Do

At Avalara, we are building the next generation of automated tax compliance products by using modern machine learning techniques.

As part of the AI/ML team, youll work on real-world, large-scale applications that push the boundaries of machine learning and AI. If the prospect of building impactful systems excites you, wed love to connect! You will be reporting to Senior Manager AI/ML

What Your Responsibilities Will Be

What Your Responsibilities Will Be:

Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments.
Statistical Modelling: Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages.
Insights and Optimization: Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance.
ML and Statistical Techniques: Use techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorithms that enhance product quality, data accuracy, and system performance.
Code Implementation: Translate algorithms and technical specifications into efficient, production-ready code using modern programming languages like Python
Debugging: Implement programming practices, perform testing and debugging, and increase system efficiency.
Documentation: Create comprehensive documentation and maintenance procedures for implemented systems and algorithms.
Generative AI Applications: Develop and implement generative AI technologies for applications such as content generation, conversational systems, and interactive user experiences.
Emerge Technologies: Adapt machine learning methodologies to areas like artificial intelligence, image processing, and other modern technologies to promote solutions.
Cloud-Based Solutions: Deploy scalable solutions in cloud-based environments (e.g., AWS, Azure, and GCP).

What Youll Need to be Successful

What Youll Need to be Successful

Education: Bachelors or masters degree in computer science or a related field.

Technical Skills:

Proficiency in machine learning and natural language processing (NLP).
Experience with software fundamentals, data structures, and algorithms.
Hands-on experience with CI/CD pipelines, distributed systems, and cloud-based software.
Expertise in generative AI and building conversational systems.
Classification systems, sentiment analysis, NLP, and entity extraction
Computer vision, OCR, and content extraction from images, PDFs, and HTML
7+ years of experience with custom models and ensembles
Experience in cloud-based environments (e.g., AWS, Azure, GCP)
Expertise in generative AI and building conversational systems

Software Development:

Experience with object-oriented design principles, common design patterns, and best practices.

Employment Type: Full Time, Permanent

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