4 Code Implementation Jobs

Model Development & Experimentation: Assist in the research, design, development, and implementation of machine learning and deep learning models. Contribute to the selection and fine-tuning of algorithms (e.g., supervised, unsupervised, reinforcement learning, neural networks, NLP models, computer vision models). Conduct experiments to evaluate model performance, identify limitations, and propose improvements. Data Preparation & Analysis: Collect, clean, preprocess, and transform large and complex datasets to ensure high-quality training data for AI models. Perform exploratory data analysis to uncover insights, patterns, and trends that inform model development. Utilize data visualization techniques to present findings clearly. Research & Learning: Conduct literature reviews on current AI trends, state-of-the-art models, and best practices. Stay updated with the latest advancements in AI, machine learning, and deep learning. Contribute to brainstorming sessions and provide innovative ideas for AI solutions. Collaboration & Documentation: Collaborate effectively with AI engineers, data scientists, researchers, and cross-functional teams to understand project requirements and objectives. Assist in maintaining detailed records of AI experiments, model development processes, code, and results. Support in preparing technical reports and presentations to communicate findings to internal stakeholders. Code Implementation & Optimization: Write clean, efficient, and well-documented code in Python (or other relevant languages) for AI model development and deployment. Assist in debugging and optimizing AI model performance and efficiency.

Deliverables: 1. Understanding the instructions specified, write code for a implementation 2. Creatively write the explanation for the code implementation. 3. Your output is going to be the input for a blog on our website 4. You would be a Technical writer whose code would be used by the company for learning content in our blogs 5. You are expected to have originality in content, code and be creative at the same time. 6. Plagarism of any form is not accepted

Deliverables: 1. Understanding the instructions specified, write code for a implementation 2. Creatively write the explanation for the code implementation. 3. Your output is going to be the input for a blog on our website 4. You would be a Technical writer whose code would be used by the company for learning content in our blogs 5. You are expected to have originality in content, code and be creative at the same time. 6. Plagarism of any form is not accepted

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.