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Vetted Generative Models developer in Canada (UTC-4)
Currently, building AI-powered products to automate contact centers using voice AI agents, leveraging Large Language Models(LLM) and advanced Conversational AI techniques. Over 4 years of experience in developing and maintaining Full Stack software applications with technologies like React, Node, REST API and AWS. Strong information technology professional with a Master's degree in Computer Science. Skilled in AWS services, Docker, Object-oriented programming, Software Development Life Cycle, Git, No-SQL databases, Python, Flask, Django, GraphQL, TypeScript, JavaScript, GCP, SQL database, Agile methodology and much more.
Vetted Generative Models developer in Canada (UTC-8)
Senior Full Stack Developer with 10+ years of experience in scalable applications, specializing in cloud-based infrastructures. Skilled in delivering high-quality features with TypeScript, JavaScript, React, Next.js, and Node.js. Proven expertise in designing and implementing RESTful APIs and microservices, and mentoring engineering teams to foster best practices and technical excellence.
Vetted Generative Models developer in Canada (UTC-4)
Data engineer | Machine Learning Engineer | Software engineer with proven record of 10 years in building data strategy and delivering ML/AI and data solutions
Vetted Generative Models developer in Canada (UTC-7)
Fascinated by technology's problem-solving power since tinkering with early programs, I built a career in software engineering by delivering complex back-end, B2B Integrations and web applications leveraging a diverse skillset. I thrive in leading and collaborating with high-performing teams. Programming languages: Python, C#, [ASP.Net](http://asp.net/), DotNet Core, Javascript, HTML, CSS, ABAP, ABAP OOPs, REST APIs, GraphQL, Go(beginner) Databases: SQL Server, T-SQL, MongoDB, Redis Data Analysis and ML: Hadoop, Pandas, Scikit-learn,Tensorflow, OpenAI Embeddings. Tools: JIRA, Git, Notion, Azure DevOps, Visual Studio, VS Code, PyCharm, Docker(Beginner) Methodologies: SCRUM, Kanban, Object Oriented Design (OOPs), Agile Software Development, Object-Oriented Programming (OOP), Scrum, Pair-Programming, Test-driven Development. Certificates: Certified AWS cloud Professional, Microsoft and Freecodecamp foundations of C#, Certified SAP Procurement Associate, IBM Certified AI Professional, As a Software Engineer & Engineering Leader at Bharat Petroleum, I lead high-performing teams that design, develop, and deploy mission-critical applications. We focus on streamlining processes (e.g., 7x faster invoicing with API integration) and driving operational excellence through AI/ML and Agile methodologies. Over 10 years, I've delivered award-winning applications like the E-Measurement Book API (reduced downtime 15%) and LEAP (80% faster cycle time), saving millions and earning prestigious recognition (World Petroleum Congress Gold Medal, DX National Awards). Employers in my field seek strong technical skills, and the ability to deliver scalable software applications that simplify complex business workflows. My ability to foster collaboration, drive innovation, and adapt to new technologies makes me a valuable asset for organizations seeking digital transformation and operational excellence. Beyond work, I'm spend time continuosly learning (AI/ML certification), keeping up with the industry trends and mentoring junior developers, fostering a culture of knowledge sharing. In addition to this I love exploring new Cities, new Cultures, new Cusines and new challenges. I volunteered with 3 non-profits working in accessible education in low income areas. I was a cofounder at a hyper delivery startup called Yaago, news summariser app feedfab and edtech startup Anuhyaa. Let's connect! I'm eager to meet new professionals and explore collaborative opportunities. Email me: [duggirala.siddhartha@gmail.com](mailto:duggirala.siddhartha@gmail.com)
Vetted Generative Models developer in Canada (UTC-4)
Having spent over a decade as a cyber security professional, in various technical roles, I now work as a freelancer offering generative artificial intelligence (GenAI), machine learning and data science services to clients across many industries. Whether you are looking to build projects using large language models (LLM) or neural network-based classification systems or conduct predictive modelling, my goal is to help you make better data-driven, evidence-based business decisions. A geek at heart and an eternal student, I am a firm believer that science and technology can provide solutions to all problems. From pharmacology to environmental sustainability to the loneliness epidemic, AI and automation have the potential to eradicate the major ills plaguing the world. Yes, I, for one, unironically welcome our robot overlords! When I am away from the keyboard, I like to dabble in Go, a game I was inspired to learn after the release of the AlphaGo documentary. I also enjoy nature walks and discovering new cuisines. If you are interested in a conversation on how we can work together to engage your data for your business needs, please do reach out with a quick hello! E-mail: fzhang@exoins.com
Vetted Generative Models developer in Canada (UTC-4)
Data and infrastructure developer with 8+ years of extensive experience in building data pipelines, machine learning models, and the surrounding infrastructure. Adept at quickly learning new software and with integral technologies like Spark, MLflow, AWS infrastructure, Docker, SQL, Python, and various front-end visualization libraries such as Javascript D3. Extremely familiar with entire data processing pipeline and skilled with collecting raw data, verifying data integrity, working with SQL and non-SQL data storage systems, creating APIs, and incorporating data into an end product such as a website. I am passionate about the tools and workflows that create interesting and innovative work.
Vetted Generative Models developer in Canada (UTC-4)
Seasoned backend engineer with 10+ years of experience designing and developing large-scale software products. Specialized in building end-to-end data pipelines, AI/ML integrations, and secure messaging platforms with a focus on production-ready solutions. Expert in cloud infrastructure (AWS, Azure), modern web technologies (React, Node.js), and conversational AI implementations. Committed to delivering high-quality, well-tested code with automated infrastructure through CI/CD pipelines and IaC practices using Terraform and Bicep. Proven track record in optimizing performance and scaling applications. Available for challenging projects requiring secure architecture design and maintainable software implementation.
Vetted Generative Models developer in Canada (UTC-4)
Machine Learning Engineer with over 6 years of industry experience, including digital-focused roles at Rolls-Royce, and as technical lead at East Africa's largest injection mould-makers. Holds a Master's in Machine Learning from Georgia Tech. Specialized in deploying ML/AI models for predictive analysis and process optimization that solve complex business challenges. Please visit my portfolio at www.ksbcode.com.
Generative Models developer in Canada (UTC-5)
I hold a Business Analytics certification from Harvard Business School and a Computer Science degree. I have expertise in various programming languages, databases, cloud platforms, and soft skills. My experience includes leading projects, improving workflows, and developing software solutions. I have also worked as a freelance software/database engineer and a software developer. My technical skills include Python, Java, JavaScript, SQL, Node.Js, React.Js, Express, REST API, and more. I have certifications in Professional Database Engineering and Container Orchestration. I have led initiatives that resulted in cost savings, efficiency improvements, and enhanced user experiences. My leadership skills extend to leading projects at Walmart and participating in extracurricular activities such as photography contests and mentorship programs.
Generative Models developer in Canada (UTC-5)
AI/ML/GenAI Leader driving innovation at the intersection of AI, Software Engineering, and Human-Centered Design, specializing in Conversational AI (NLP, LLMs, Conversation Design), Generative AI, and Cloud solutions. With a strong academic background (PhD in AI) and hands-on industry experience, I excel at transforming complex challenges into tangible business value (e.g., increase in virtual bot adoption, containment rate, customer engagement, and satisfaction). Delivery-focused AI Architect, I craft intelligent agents that leverage ML, Gen AI, RAG, and User-Product Alignment Research to deliver exceptional user experiences. Technical writer and reviewer with a passion for mentorship, I am constantly learning and giving back, whether creating versatile AI systems or guiding future generations. Certified Scrum Master, Google Cloud Machine Learning Engineer, and Oracle Cloud Generative AI Engineer, I am seeking a challenging role where I can combine my triple expertise in AI Engineering, Applied AI Research, and Mentoring to drive cutting-edge projects in ML and Gen AI.
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Ready to hire your ideal Generative Models developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Generative Models developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 Generative Models 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 Generative Models developers can help keep your website up-to-date.
To hire a Generative Models 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 Generative Models developers effectively and efficiently. Hire full-time Generative Models 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 Generative Models 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 Generative Models 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 Generative Models developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Generative Models 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 Generative Models 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 Generative Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Generative Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Generative Models developers.
Some factors to consider when you hire Generative Models 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 Generative Models developers for hire.
Writing a good Generative Models developer job description is crucial in helping you hire Generative Models 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 Generative Models 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 Generative Models developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Generative Models developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Generative Models 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 Generative Models developers to keep up with evolving technology and requirements.
You can find a variety of Generative Models developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Generative Models developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Generative Models 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Generative Models developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Generative Models developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Generative Models developers.
Every Generative Models 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 Generative Models 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Generative Models 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 Generative Models 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 Generative Models developers, you can rest assured that all remote Generative Models developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Generative Models developers before we present them to you. As such, all the remote Generative Models 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 Generative Models developer in 72 hours, or find a full-time Generative Models 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 Generative Models developers.
Depending on the freelance developer job board you use, freelance remote Generative Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Generative Models 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 Generative Models 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.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 Generative Models 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 Generative Models developers, check out our FAQs page.