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Vetted MLOps developer in Canada (UTC-5)
Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.
Vetted MLOps developer in Canada (UTC-8)
Results-driven Senior MLOps/DevOps Engineer with extensive experience in designing and scaling cloud infrastructures to support machine learning models. Achieved a 50% reduction in time-to-market through the integration of advanced MLOps practices and automation. Expert in Terraform, SageMaker, TensorFlow, Airflow, Kubeflow, and Kubernetes, driving efficiency across the ML lifecycle, from data ingestion and processing to model deployment. Optimized big data pipelines, improving system efficiency by 40%, while ensuring 99.999% uptime. Proven track record in enhancing deployment reliability by 60% through the implementation of CI/CD pipelines and monitoring systems. Skilled in collaborating with cross- functional teams to deliver impactful, business-driven solutions.
Vetted MLOps developer in Canada (UTC-4)
With over 10 years of diverse domain experience in Health Care, Financial Tech, Insurance, Telecommunications, and AntiMoney Laundering (AML), I bring expertise in ETL testing, Data Analysis, Automation (E2E, API), and AI/ML testing Using Python, JavaScript, and Java for automation and data analysis tasks. Skilled in Azure DevOps, Git-based CI/CD pipelines, and a range of testing frameworks including Playwright, Cypress, Appium and Selenium WebDriver. Proficient in WCAG 2.0 standards and experienced in client-facing roles, I am committed to delivering high-quality solutions tailored to meet client needs. SKILLS • 10 + years of Experience of Experience in Health Care, Financial tech, Insurance, Telecommunications and Anti-Money Laundering (AML) domains • 3 + Years in ETL testing Proficient in Data Analysis, ETL, Data Warehousing, Data Testing, Data Preparation, Test Scenarios, Test Planning & Test Management, Talent • Excellent Knowledge of Database Systems – Teradata, SQL server, DB2, Toad, DB Visualizer and Data warehouse concepts • 8 + years of expertise in providing E2E Automation Solution • Expertise in Holistic testing - Functional, Integration, System, Regression, End-to-End Testing, UAT Testing • Skilled in creating BRD - understanding business requirements and transforming them using DWH model in data warehouse environment • Detailed oriented with strong problem-solving, work ethics, communication, interpersonal and teamwork skills • 5 + years of Strong Experience in TypeScript, JavaScript, Python, and Java
Vetted MLOps developer in Canada (UTC-4)
Lead Software Engineer with experience working in pre-seed and growing startups. 15 years of experience in diverse range of languages and frameworks
Vetted MLOps developer in Canada (UTC-5)
Software engineer with over 4+ years of successful experience in Python, Go, and Kubernetes. Recognized consistently for performance excellence and contributions to success in backend development and CI/CD. Strengths in Microsoft Azure, Kubernetes, Python and Go.
MLOps 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.
MLOps developer in Canada (UTC-4)
DevOps/MLOps and Cloud engineer with 10+ years of experience in software development, Build/Test/Integration/DevOps/MLops, IaaS, Continuous Integration and Delivery with special focus on automation, product integrity, quality metrics, monitoring and sign-off criteria. Deep experience in Docker/Kubernetes and Microservices. Large experience in AWS and Azure, Machine Learning models and frameworks. Extensive background in 24/7 enterprise environments, system architecture, and development processes with a focus on process and cost optimization. Strong focus and attention on business and clients' needs and requirements, agile business-driven approach for development, on time and on budget.
MLOps developer in Canada (UTC-9)
Results-driven Data Scientist with full-stack experience, adept at influencing product and business decisions through data-driven insights. Entrepreneurial mindset, Medical AI enthusiast, thriving in ambiguous environments and building features from concept to deployment. Proven track record of developing and implementing machine learning solutions that drive business value.
MLOps developer in Canada (UTC-4)
Data Scientist with 5+ years of experience in data analytics, machine learning, Experimental design, and AB testing. Strong experience implementing and productionization measurement methodologies for AB testing, developing end-to-end machine-learning algorithms, and manipulating large datasets using Spark. I have a strong understanding of statistical analysis, quantitative research methodologies, and predictive modeling techniques with experience in evaluating and optimizing AI models for performance, accuracy, and scalability. I have a proven ability to engage with stakeholders to gather requirements and communicate business updates effectively.
MLOps developer in Canada (UTC-6)
A seasoned machine learning engineer with 6 years of hands-on experience in start-up environments and research roles. Proficient in developing and deploying machine learning models using advanced technologies such as CI/CD pipelines, Docker, and APIs. Skilled in container orchestration platforms like Fargate and ECS, ensuring seamless deployment and scalability of AI applications. Seeking a challenging role where I can leverage my expertise to contribute to the development of innovative AI solutions, driving business growth and technological advancement.
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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 MLOps 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 MLOps 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 MLOps developers can help keep your website up-to-date.
To hire a MLOps 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 MLOps developers effectively and efficiently. Hire full-time MLOps 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 MLOps 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 MLOps 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 MLOps developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire MLOps 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 MLOps 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 MLOps developers, consider niche platforms like Arc that naturally attract and carefully vet their MLOps developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote MLOps developers.
Some factors to consider when you hire MLOps 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 MLOps developers for hire.
Writing a good MLOps developer job description is crucial in helping you hire MLOps 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 MLOps 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 MLOps developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills MLOps 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 MLOps 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 MLOps developers to keep up with evolving technology and requirements.
You can find a variety of MLOps developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance MLOps developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote MLOps 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 MLOps 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 MLOps developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire MLOps developers.
Every MLOps 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 MLOps 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 MLOps 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 MLOps 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 MLOps developers, you can rest assured that all remote MLOps 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 MLOps developers before we present them to you. As such, all the remote MLOps 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 MLOps developer in 72 hours, or find a full-time MLOps 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 MLOps developers.
Depending on the freelance developer job board you use, freelance remote MLOps developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find MLOps 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 MLOps 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 MLOps 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 MLOps developers, check out our FAQs page.