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Vetted Machine Learning Models 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.
Vetted Machine Learning Models 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 Machine Learning Models developer in Spain (UTC+1)
Machine Learning Engineer with Master's in AI/ML and 11 years of software engineering experience building scalable production systems. Proven track record of leading technical teams and delivering successful solutions.
Vetted Machine Learning Models 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 Machine Learning 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 Machine Learning 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 Machine Learning Models developer in the United States (UTC-6)
**Full-Stack Machine Learning Engineer** with 10+ years of experience delivering high-impact AI solutions for up to 10K concurrent users. I specialize in building end-to-end ML pipelines, automating SaaS infrastructures, and integrating advanced large language models (LLMs) such as GPT-3.5 and BGE using Python. My expertise in MLOps—including CI/CD, model monitoring, and prompt engineering—has driven measurable improvements (e.g., reducing operational overhead by 60% and boosting lead conversion by 30%). With proven skills in scalable backend development, LLM API integration, and data-driven predictive analytics, I excel at optimizing AI models for efficiency and accuracy. I’m passionate about leveraging cutting-edge AI tools to transform healthcare, digital marketing, and enterprise SaaS solutions.
Vetted Machine Learning Models developer in Mexico (UTC-5)
I am a seasoned Senior Backend Software Engineer with a strong foundation in machine learning and blockchain, specializing in the design and development of high-performance backend systems. With several years of experience in architecting scalable full-stack platforms, I have consistently led product teams through every stage of the product lifecycle, from design and development to testing and deployment. I am highly proficient in utilizing CI/CD tools, databases, middleware’s, load balancers, API design, containers, and cloud platforms such as AWS, Google Cloud, and Azure. My expertise also includes AI development, particularly with large language models (LLMs) and retrieval-augmented generation (RAG). I am adept at building machine learning models from the ground up or applying transfer learning to tailor them to specific datasets, with a good experience using TensorFlow and PyTorch.
Vetted Machine Learning Models developer in Turkey (UTC+3)
Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!
Vetted Machine Learning Models developer in the United Kingdom
With 10 years of seasoned expertise in fullstack development, 7 years focused on machine learning, and a strong foundation in DevOps, I offer a comprehensive skill set. From architecting sophisticated applications to orchestrating CI/CD pipelines and managing AWS infrastructure, I consistently deliver innovative solutions across the software development lifecycle.
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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.