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Vetted Large Language 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 Large Language Models developer in Germany (UTC+1)
Seasoned Software Engineer with over 6 years of experience in backend development, primarily focused on Golang and Python. Skilled in creating robust and scalable solutions across networking, e-commerce, and retail sectors, with a strong inclination towards integrating innovative technologies. Recognized for a unique blend of technical acumen and customer-centric approach, enabling effective problem-solving and delivery of high-impact solutions. Enthusiastic about embracing new challenges in AI, with a commitment to continuous learning and adaptation in rapidly evolving tech landscapes.
Vetted Large Language Models developer in Germany (UTC+1)
Dear Hiring Manager, I am writing to express my interest in the AI Engineer position at your company. My background is in computational astrophysics and observational astronomy, but I’ve worked across several industries including CPG/retail, gaming, and insurance. I have over 6 years of experience in data science, machine learning, and software engineering. I’m good at quickly acclimating to domain jumps and new technology, as well as turning business problems/queries from non-technical people into technical solutions. Recently I’ve been helping companies on a short-term contract basis while working as a Founding Engineer and building out an MVP. My main coding language is Python, but I have experience with SQL, Root, Mathematica, Maple, Matlab, R, and Javascript. Within Python, I have used numpy, scipy, TensorFlow, scikit-learn, pytorch, pandas, matplotlib, seaborn, and plotly. Additionally, I have experience with LangChain, OpenAI, and Pinecone vector databases, forming the PLOP tech stack. Furthermore, I have experience with cloud computing (Azure, GCP, AWS, private clusters), Linux, managing large datasets, and process automation. I can effectively and concisely communicate technical ideas to a broader audience, including stakeholders. I have leadership experience within technical and non-technical roles, I have end to end data acquisition, cleaning, and analysis experience, and my strong foundation in math and data analysis, combined with independent research skills, make me able to tackle nearly any problem. I am excited about the opportunity to bring my skills and experience to your company and contribute to the success of the team. Thank you for considering my application. I am eager to further discuss my qualifications and learn more about this opportunity. Cheers, Chris Singleton
Vetted Large Language Models developer in Germany (UTC+1)
Looking for an expert in Machine Learning, Data Science, Computer Vision, GAN, NLP, CHATGPT, GEMINI, Stable Diffusion, PyTorch, TensorFlow, LangChain, LlamaIndex, real-time chatbot agents, customer recommendation systems, churn modeling, dynamic pricing, fraud detection, and image recognition? Let's talk. At Google Brain Team, I was developing the TensorFlow library that is the most popular machine learning library. I love the using TensorFlow because I know the infrastructure very well. I have been working on Artificial Intelligence topics for about 4 years. I 'm following latest papers from AI projects and even have a blog that I review. I have also contributed several various open source AI projects, such as jax, flax, fastai, etc. I have direct experience in the following technologies/topics: ✅ Machine Learning (Deep Learning, Clustering, Classification, Regression, SVM, PCA, KNN, etc) ✅ Computer Vision (Image Classification, Object Detection, Object Tracking, Image Segmentation, GANS, Pix2Pix, StyleGAN, etc.) ✅ Natural Language Processing, (RNN, Transforms, Named-Entity Recognition, Sentiment Analyzing, Summarizing, SOA Models(Bert, GPT, T5)) My toolkit: ✅ TensorFlow (Core, Addons, Datasets, TensorBoard, TFLite), ✅ PyTorch, ✅ Scikit-Learn, ✅ Numpy, ✅ Pandas, ✅Matploblib, ✅ NLTK, ✅OpenCV, ✅Knet.jl, ✅Jax, ✅spaCy, ✅Hugging Face, I love working on challenging topics and it is of immense significance to me personally to develop high-quality software. I am a process-orientated person and most of my customers find it useful to finish tasks effectively.
Large Language Models developer in Germany (UTC+1)
I am a Senior Data Scientist with experience in developing AI-driven solutions, managing projects, optimizing ML systems, and enhancing campaign ROI. Skilled in Python, ML models, DevOps, and various data analysis tools.
Large Language Models developer in Germany (UTC+2)
* Over 5 years of experience as a Data Scientist and AWS Cloud Engineer * Trained and prototyped over 20 Machine Learning models for various AI use cases and clients * Led deployment of two ML models at scale on the AWS Cloud, earning the WirtschaftsWoche Best of Consulting Technology Award 2020 * Experience in diverse areas: Data Security in ML, AI-driven Drug Design, Named-Entity Recognition, Predictive Maintenance, GenAI and more * Led the development of two AI Platforms for enterprise clients, streamlining ML deployments and operations
Vetted Large Language Models developer in Germany (UTC+1)
I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory. My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed. I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making. I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.
Vetted Large Language Models developer in Germany (UTC+6)
Result-oriented and innovative backend and data engineering with over 10 years of experience.
Vetted Large Language Models developer in Germany (UTC+2)
Experienced Data Engineer with a proven track record of creating and optimizing data platforms, pipelines, and warehouses. Proficient in open-source technologies. Adept in designing and implementing data models and architectures, I successfully transformed a data lake into a structured warehouse at eBay Turkey. My expertise spans AI, machine learning, and parallel processing, contributing to the deployment of ML models for actionable insights. Skilled in GCP, Terraform, and CI/CD pipelines. Passionate about data governance, security, and compliance. Fluent in English and Turkish.
Large Language Models developer in Germany (UTC+1)
A seasoned professional with over 14+ years of extensive experience across diverse industries including IT, Telecom, Banking, Finance, Automobile, Retail, Manufacturing, Supply Chain, Shipping & Logistics, IT Services, and Consulting in multiple countries. Specialized in Architecture, Engineering, and the Design and Development of data-driven solutions. Notable achievements include: • Currently working as a Cloud Solution Architect at Microsoft, collaborating with top-tier S500 unified customers to solve complex technical challenges. • Over a decade of specialized expertise in designing and implementing Enterprise Data Lakes, utilizing cutting-edge big data and cloud technologies. • A proven track record in architecting, designing, and deploying Enterprise Data Platforms - Data lakes, Data Warehouses and Consolidated Data Warehouses using leading public cloud providers (Azure, AWS, GCP). • Assisting customers to migrate legacy Dataware Systems such as Teradata, SQL DW, Oracle in the clouds. • Expertise in both pre-sales and post-sales roles within the IT industry, coupled with a deep understanding of Request for Proposal (RFP), Request for Quotation (RFQ), and Request for Information (RFI) processes. • Extensive experience in conducting comprehensive training programs, instructing over 100 individuals from diverse customer and partner teams, and equipping them with proficiency in Microsoft's Data, AI & Analytics offerings.
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FAQs
Why hire a Large Language Models developer?
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 Large Language 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 Large Language Models developers can help keep your website up-to-date.
How do I hire Large Language Models developers?
To hire a Large Language 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 Large Language Models developers effectively and efficiently. Hire full-time Large Language 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 Large Language 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 Large Language 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 Large Language Models developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Large Language Models developers?
There are two types of platforms you can hire Large Language 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 Large Language 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 Large Language Models developers, consider niche platforms like Arc that naturally attract and carefully vet their Large Language Models developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Large Language Models developers.
Some factors to consider when you hire Large Language 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 Large Language Models developers for hire.
How do I write a Large Language Models developer job description?
Writing a good Large Language Models developer job description is crucial in helping you hire Large Language 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 Large Language 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 Large Language Models developers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Large Language Models developer?
The top five technical skills Large Language 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 Large Language 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 Large Language Models developers to keep up with evolving technology and requirements.
What kinds of Large Language Models developers are available for hire through Arc?
You can find a variety of Large Language 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 Large Language Models developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Large Language 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 Large Language Models developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Large Language Models developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Large Language 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 Large Language Models developers.
Every Large Language 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 Large Language 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.
How does Arc vet a Large Language Models developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Large Language 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 Large Language 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 Large Language Models developers, you can rest assured that all remote Large Language Models developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Large Language Models developers on Arc?
Arc pre-screens all of our remote Large Language Models developers before we present them to you. As such, all the remote Large Language 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 Large Language Models developer in 72 hours, or find a full-time Large Language 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 Large Language Models developers.
How much does a freelance Large Language Models developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Large Language Models developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Large Language 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 Large Language 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.
How much does it cost to hire a full time Large Language Models developer?
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 Large Language 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 Large Language Models developers, check out our FAQs page.