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Remote Llm Building And Deployment Developers
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Vetted Llm building and deployment developer in India (UTC+6)
I am an experienced ML Engineer and Data Scientist with a strong background in Python development. Currently, as Managing Director at Groove Innovations, I developed an AI-driven search system that improved retrieval accuracy by 35%. Previously, at Phenom, I engineered a real-time fraud detection system that addressed 80-90% of fraudulent cases. My expertise includes NLP, machine learning pipelines, and cloud technologies, focusing on delivering impactful solutions in data-driven environments.
Vetted Llm building and deployment developer in India (UTC+6)
Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Vetted Llm building and deployment developer in India (UTC+6)
Its been 8 Years of working experience working with startups and products, where I worked on taking products from 0-1 and 1-10, which give me great opportunity to understand the product depth and how things work to scale product both on tech side and growth side. I had worked with top startups to high scale products where I had handled till 7Million MAU and great experience working as full fledged engineer taking things from scratch to production.
Llm building and deployment developer in India (UTC+6)
I am a Senior Software Engineer with experience in developing multimodal speech and video summarization apps, establishing 6G stack specs, and enhancing throughput in vRAN stacks. My technical skills include C/C++, Python, Java, and more.
Vetted Llm building and deployment developer in India (UTC+6)
I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.
JP Morgan Chase
Vetted Llm building and deployment developer in India (UTC-8)
Senior Software Engineer specializing in large scale distributed application development and artificial intelligence, backed by 6 years of experience. Recognized for architecting scalable solutions, leading high-impact projects, and mentoring talent.
Microsoft
Vetted Llm building and deployment developer in India (UTC+6)
I am a skilled Software Engineer with experience in implementing data privacy practices, developing multi-tenancy architecture, and designing high-performance portals. Proficient in Java, Cloud, Spring Boot, Microservices, and Machine Learning.
Walmart
Vetted Llm building and deployment developer in India (UTC+6)
With over 5 years in the IT industry, I specialize in Storage Software Development and am currently a Software Developer at Scale AI. My role involves training AI models using Python, where I apply my deep understanding of RAG applications and Large Language Models (LLMs). I excel at evaluating and selecting the right LLMs for different use cases and deploying data science models into production. I bring strong analytical and problem-solving skills to the table and have a proven track record of working effectively with business teams. I am proficient in Python and C and have a solid foundation in Volume Management, Clustering, and various storage and networking protocols.
Scale AI
Vetted Llm building and deployment developer in India (UTC+6)
Data Scientist with 6.5 years of expertise in ML, NLP, and deep learning. Proficient in Python, R, and SQL, skilled in intricate data analysis, visualization, and statistical modeling. Proficiency in Generative AI tools like LangChain, seamlessly integrating it with ChatGPT, Pinecone, LLAMA 2, and Hugging Face for dynamic language-based applications. Strong problem-solving abilities, excelling in fast-paced environments.
Oracle
Vetted Llm building and deployment developer in India (UTC+6)
\*Available to overlap up to 4 hours with EDT/CDT\* I have architected and implemented applications from scratch, dealt with situations at a fast-moving startup with changing requirements, and have worked with one of the largest companies in the world, where there was a need to get familiarized with the huge existing code base and build on top of it. I have been and excelled in high pressure situations, where the impact would have been hundreds of thousands of dollars and/or customer shipments. I see the larger picture for a software system and design, or evaluate it to make sure it is secure, scalable, available, extendable, cost-effective and at the same time, simple. While my resume gives an in-depth look at my technical expertise and work experience, some of the skills that I’d like to highlight are React, React Native, Django, SQL and AWS. I have been working on these technologies on a daily basis for the past three years in my most recent role and am highly proficient at creating and updating products using them. Moreover, working with a wide range of technologies on a number of problems allows me to effectively plan and estimate tasks on hand to deliver high quality results on time. With a total experience of 7+ years, I know how to cater to the requirements of different situations and work environments. I have been working remotely for the last 4 years, so I can work autonomously without much oversight, as well as effectively lead and communicate with team members located in different countries.
Amazon
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FAQs
Why hire a Llm building and deployment developer?
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Llm building and deployment developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Llm building and deployment developers can help keep your website up-to-date.
How do I hire Llm building and deployment developers?
To hire a Llm building and deployment developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Llm building and deployment developers effectively and efficiently. Hire full-time Llm building and deployment developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Llm building and deployment developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Llm building and deployment developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Llm building and deployment developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Llm building and deployment developers?
There are two types of platforms you can hire Llm building and deployment developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Llm building and deployment developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Llm building and deployment developers, consider niche platforms like Arc that naturally attract and carefully vet their Llm building and deployment developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Llm building and deployment developers.
Some factors to consider when you hire Llm building and deployment developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Llm building and deployment developers for hire.
How do I write a Llm building and deployment developer job description?
Writing a good Llm building and deployment developer job description is crucial in helping you hire Llm building and deployment developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Llm building and deployment developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Llm building and deployment developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Llm building and deployment developer?
The top five technical skills Llm building and deployment developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Llm building and deployment developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Llm building and deployment developers to keep up with evolving technology and requirements.
What kinds of Llm building and deployment developers are available for hire through Arc?
You can find a variety of Llm building and deployment developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Llm building and deployment developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Llm building and deployment developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Llm building and deployment developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Llm building and deployment developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Llm building and deployment developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Llm building and deployment developers.
Every Llm building and deployment developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Llm building and deployment developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
How does Arc vet a Llm building and deployment developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Llm building and deployment developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Llm building and deployment developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Llm building and deployment developers, you can rest assured that all remote Llm building and deployment developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Llm building and deployment developers on Arc?
Arc pre-screens all of our remote Llm building and deployment developers before we present them to you. As such, all the remote Llm building and deployment developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Llm building and deployment developer in 72 hours, or find a full-time Llm building and deployment developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Llm building and deployment developers.
How much does a freelance Llm building and deployment developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Llm building and deployment developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Llm building and deployment developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Llm building and deployment developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
How much does it cost to hire a full time Llm building and deployment developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Llm building and deployment developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Llm building and deployment developers, check out our FAQs page.