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Vetted Machine Learning Models developer in Nigeria (UTC+1)
I hold a [B.Sc](http://b.sc/). in Computer Science and I am a Competent Business and Data Analyst with over 7 years proven experience in Data Analytics, and with an incredible background in Data Science including Database development/deployment (RDBA), data extraction, transformation and loading for analytics using diverse tools including MS-Excel, MySQL, Power BI/Power Query, Python/Pandas & NumPy, and data modelling (predictive modelling -Machine Learning). I am currently working as Business and Data Analyst in Shell Petroleum Development Company of Nigeria Limited on a Contract role. The role involves translating complex data (Big Data) into actionable insights/virtualization to support Business decisions by stakeholders geared towards HSSE incident prevention, increased production, behavioral change, and general Business performance. I am currently taking some courses in Big Data Analytics at the Scholars International of Institute Technology (SIIT) from the United States. This Diploma Certificate Program covers a number of analytics tools such as Hadoop, Kafka, Apache H-Base, Splunk's, Talend, Apache Spark for real-time processing. decision-making.
Vetted Machine Learning Models developer in Nigeria (UTC+1)
Python geek with a strong background in data extraction, automation, processing and storing, with high level expertise in web scraping, utilizing various tech stacks with Python and JavaScript, and cloud resources to effectively design systems, allocate and scale resources as needed. Also at my disposal is machine learning and large language model expertise allowing me to build robust data solutions
Machine Learning Models developer in Nigeria (UTC+1)
Result-oriented Data scientist specialized with 4 years of full-time working experience in AI/ML, NLP, NLU, and recommendation systems. I have expertise in engineering production-level ML solutions.
Machine Learning Models developer in Nigeria (UTC+1)
Data Engineer & Machine Learning Expert with 4+ years of experience designing and optimizing scalable data pipelines and deploying machine learning models in the finance sector. Successfully reduced data processing times by 30% and improved product performance through AI-driven automation. Expertise in architecting cloud-based solutions on AWS, optimizing ETL/ELT pipelines, and driving cross-functional collaboration to deliver actionable data-driven insights. Skilled in leveraging Apache Spark, AWS Glue, and Redshift to transform complex datasets into high-impact business intelligence.
Vetted Machine Learning Models developer in Nigeria (UTC+1)
• Autonomous critical thinker, with broad analytical skills with over 5 years of experience with conceptualizing, managing and applying problem solving skills to data projects. • Proficient engineer, with practice in data collection, processing, analysis, modeling, deployment and communication through end-to-end data science projects done in large (50+ members) and international collaborations. • Versatile analyst, with broad experience in implementing and delivering data-driven solutions to real world problems such as disaster response, environmental protection and object detection in satellite imagery, in projects carried out in collaboration with private and humanitarian organizations.
Vetted Machine Learning Models developer in Nigeria (UTC+1)
With over 7 **years of experience** in building and deploying machine learning models for **credit risk analysis**, **fraud detection**, and **customer segmentation**, I am skilled in **data analysis**, **feature engineering**, and **model development**. Proficient in leveraging **MLOps** to streamline the deployment process, I also bring expertise in using **Python, Go, and Rust** for developing **multithreaded and concurrent web scraping solutions**, enhancing data extraction speeds and optimizing data pipelines for real-time decision-making.
Vetted Machine Learning Models developer in Nigeria (UTC+1)
With 6+ years of diverse experience as a certified, highly organized, solution-oriented, and resourceful professional in various facets as a data analyst, information management officer, admin database manager, and digital marketing manager. I provide overarching support in performing data collection, cleaning, and structuring to ensure the completeness and accuracy of datasets; developing and implementing data models to structure information; conducting exploratory data analysis to identify patterns; applying statistical analysis techniques to provide insights and recommendations; creating visualizations and dashboards to communicate findings using tools like Excel, Power BI, Tableau, Spotfire, Looker and SQL. My expertise is in applying machine learning and advanced analytics to solve complex problems; automating data processes to enhance efficiency and scalability, optimizing database performance, executing digital marketing campaigns, analyzing marketing data, and managing lead generation and nurturing programs.
Vetted Machine Learning Models developer in Nigeria (UTC+1)
I wrote my first code in year 2000 and I have led different development teams in my professional career. Now, I train and mentor children from extreme poverty programming as a way to sway them from crime and social vices. I believe if I can't teach a 6 years old a programming concept, then I don't know it. I love to teach programming and I am one of the very best teacher you can encounter. This is the reason I want to mentor more people across the globe.
Machine Learning Models developer in Nigeria (UTC+1)
* Highly motivated and results-driven data engineering professional with a proven track record in Cybersecurity and Software Engineering. Possessing a unique blend of leadership, interpersonal, and analytical skills.
Machine Learning Models developer in Nigeria (UTC+1)
Data analytics virtuoso with 5+ years of experience transforming raw data into actionable insights that drive business growth. Proven expertise in SQL, Python, R, Alteryx, Salesforce, Excel, and machine learning, coupled with mastery of data visualization tools like Tableau and Power BI. Adept at collaborating with cross-functional teams to gather business requirements, analyze data, and present insights in a clear, concise, and compelling manner. Possesses strong communication skills, effectively translating technical concepts into understandable business terms, fostering informed decision-making across all levels of the organization. Continuously expanding knowledge of data analysis tools and technologies to stay at the forefront of the field. Passionate about exploring new machine learning applications and leveraging data to solve real-world problems. A true asset to any organization seeking to harness the power of data to achieve strategic objectives.
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Ready to hire your ideal Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning Models developers can help keep your website up-to-date.
To hire a Machine Learning 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 Machine Learning Models developers effectively and efficiently. Hire full-time Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning Models developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Machine Learning 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 Machine Learning 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 Machine Learning Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Machine Learning Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Machine Learning Models developers.
Some factors to consider when you hire Machine Learning 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 Machine Learning Models developers for hire.
Writing a good Machine Learning Models developer job description is crucial in helping you hire Machine Learning 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 Machine Learning 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 Machine Learning Models developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Machine Learning 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 Machine Learning 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 Machine Learning Models developers to keep up with evolving technology and requirements.
You can find a variety of Machine Learning 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 Machine Learning Models developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning Models developers.
Every Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning Models developers, you can rest assured that all remote Machine Learning 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 Machine Learning Models developers before we present them to you. As such, all the remote Machine Learning 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 Machine Learning Models developer in 72 hours, or find a full-time Machine Learning 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 Machine Learning Models developers.
Depending on the freelance developer job board you use, freelance remote Machine Learning Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning Models developers, check out our FAQs page.