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Vetted Scikit-learn developer in Portugal (UTC+5)
Data Scientist with 8+ years of experience, skilled in Python, Machine Learning, TensorFlow, Prompt Engineering, and Large Language Models (LLM). Proficient in using Retrieval-Augmented Generation (RAG) for advanced data analysis and problem-solving. Demonstrates strong analytical thinking and a proactive approach to developing innovative solutions. Adept at collaborating with cross-functional teams and effectively communicating complex technical concepts.
Vetted Scikit-learn developer in Georgia (UTC+4)
Seasoned software developer with 15+ years of experience in software development, data science, and AI. Proven ability to deliver efficient, reliable, and user-friendly software solutions. Skilled leader and communicator, adept at managing teams, driving innovation, and adapting to change. \\\\ Specialties include: C/C++ Programming, Python Programming, Low-Level and systems Programming, Embedded Systems, Machine Learning and AI, Data Science and analysis, Algorithms, Software Design, Databases management and development, Project Management, Collaboration, Agile Methodologies
Vetted Scikit-learn developer in Canada (UTC-7)
Highly autonomous senior software developer with a proven track record of delivering high-impact projects with full-stack expertise. Skilled in leading small teams, collaborating with cross-functional teams, and driving continuous improvement in software development. Proficient in a range of technologies, including Java, Python, Golang, and React, with a strong ability to quickly learn new technologies and adapt to changing project requirements.
Vetted Scikit-learn developer in Germany (UTC+1)
Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.
Vetted Scikit-learn developer in the Netherlands (UTC+1)
I am a senior full-stack developer with a strong focus on back-end development, data engineering, and machine learning. My experience spans a wide variety of industries and company sizes, including advertising, finance, e-commerce, cybersecurity, and data analytics. I've worked with both large corporations and startups. In addition to my development expertise, I am a trained data scientist and have completed several certified specializations in data science and machine learning. You can find more details about my certifications on my LinkedIn profile. I adhere to clean code principles and am a dedicated practitioner of test-driven development (TDD). You don't have to take my word for it—feel free to explore the samples of my work on my GitHub portfolio: [https://github.com/marciogualtieri/About](https://github.com/marciogualtieri/About) As a lifelong learner, I enjoy expanding my knowledge by building projects. You're welcome to browse through them.
Vetted Scikit-learn developer in Ireland
I am a software engineer with 6+ years of experience in AI solutions, machine learning, and data management. I have expertise in technologies such as Python, .NET Core, ASP .NET, and JavaScript. I have worked on projects involving e-commerce, payment systems, cloud applications, and CRM applications. I have a Master's degree in Artificial Intelligence and have integrated cutting-edge AI technologies into legacy and modern systems. I have also developed secure data transfer solutions using AI-based data compression and encryption.
Vetted Scikit-learn developer in the United States (UTC-4)
I hold a Master's in Computer Science with a focus on Artificial Intelligence and have extensive experience as both a Data Scientist and Full Stack Developer. In my current role at DTN, I develop machine learning models for commodity demand forecasting and implement LLM-based solutions, while my previous position at Gro Intelligence involved leading full-stack development of web applications, and developing data pipelines for large numbers of time series. I'm proficient in Python (including pandas, scikit-learn, and various ML frameworks), Javascript, C#, and AWS services. My unique combination of ML expertise and full-stack development skills allows me to tackle complex technical challenges from both development and data science perspectives. I've successfully deployed production systems ranging from data pipelines to interactive web applications, and have experience working with Unity3D for simulation and VR development.
Vetted Scikit-learn developer in Belgium (UTC+1)
Experienced Data Scientist with a strong track record of leveraging machine learning to solve complex problems in industries like oil, automotive, and telecom. At McKinsey, I led pricing and production optimization projects and guided junior data scientists in aerospace implementations. My expertise spans developing cost-saving models, enhancing workflows, and delivering data-driven business value, with a focus on technical development, stakeholder alignment, and strategic impact.
Vetted Scikit-learn developer in Mexico (UTC-6)
Electronic Engineer with Master’s and PhD degrees in Artificial Intelligence. Experienced in machine learning, computer vision, data science, and software engineering, with a track record of developing innovative solutions. Proficient in Python programming, machine learning algorithms, and data visualization. Known for adaptability, analytical thinking, and collaborative spirit, consistently delivering creative and accurate solutions to complex problems. Regarding my experience in 3D computer vision, I have worked with elevation maps and point clouds for image segmentation. This has involved processing and analyzing 3D data to extract meaningful insights. As for Structure from Motion (SfM), my experience is primarily in testing different modules of an SfM pipeline, with a particular focus on evaluating inputs and outputs. Specifically, I have worked on testing the mesh generation part of the pipeline, ensuring the quality and consistency of reconstructed 3D models.
Vetted Scikit-learn developer in Azerbaijan (UTC+4)
Experienced professional with over 6 years of expertise in designing and deploying innovative AI solutions. Skilled in fine-tuning and inferencing Large Language Models (LLMs) using advanced prompting techniques and Retrieval-Augmented Generation (RAG). Proficient in developing and optimizing models for tasks such as Named Entity Recognition (NER), classification, and valuation. Also Expertise includes: Building end-to-end ML pipelines leveraging tools like MLflow, Prefect, and Weights & Biases (W&B). Creating efficient inference systems using FastAPI and Docker. Designing experimental user interfaces with Streamlit for seamless interaction with AI models.
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Ready to hire your ideal Scikit-learn 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 Scikit-learn 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 Scikit-learn 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 Scikit-learn developers can help keep your website up-to-date.
To hire a Scikit-learn 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 Scikit-learn developers effectively and efficiently. Hire full-time Scikit-learn 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 Scikit-learn 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 Scikit-learn 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 Scikit-learn developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Scikit-learn 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 Scikit-learn 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 Scikit-learn developers, consider niche platforms like Arc that naturally attract and carefully vet their Scikit-learn developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Scikit-learn developers.
Some factors to consider when you hire Scikit-learn 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 Scikit-learn developers for hire.
Writing a good Scikit-learn developer job description is crucial in helping you hire Scikit-learn 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 Scikit-learn 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 Scikit-learn developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Scikit-learn 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 Scikit-learn 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 Scikit-learn developers to keep up with evolving technology and requirements.
You can find a variety of Scikit-learn developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Scikit-learn developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Scikit-learn 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 Scikit-learn 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 Scikit-learn developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Scikit-learn developers.
Every Scikit-learn 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 Scikit-learn 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 Scikit-learn 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 Scikit-learn 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 Scikit-learn developers, you can rest assured that all remote Scikit-learn 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 Scikit-learn developers before we present them to you. As such, all the remote Scikit-learn 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 Scikit-learn developer in 72 hours, or find a full-time Scikit-learn 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 Scikit-learn developers.
Depending on the freelance developer job board you use, freelance remote Scikit-learn developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Scikit-learn 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 Scikit-learn 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 Scikit-learn 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 Scikit-learn developers, check out our FAQs page.