Verified Job
Work from home
Machine Learning Lead - Natural Language Processing
Work from home
#523860
Remote / WFH
Job Description
Job description
What You'll 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, you'll 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, we'd love to connect! You will be reporting to Senior Manager AI/ML
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 You'll Need To Be Successful
Education: Bachelor's 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, and GCP)
Expertise in generative AI and building conversational systems.
Role: DevOps Manager
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DevOps
Education
UG: B.Sc in Any Specialization, B.Tech/B.E. in Any Specialization
PG: Any Postgraduate
What You'll 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, you'll 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, we'd love to connect! You will be reporting to Senior Manager AI/ML
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 You'll Need To Be Successful
Education: Bachelor's 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, and GCP)
Expertise in generative AI and building conversational systems.
Role: DevOps Manager
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DevOps
Education
UG: B.Sc in Any Specialization, B.Tech/B.E. in Any Specialization
PG: Any Postgraduate
