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Vetted Generative networks developer in India (UTC+6)
6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
Generative networks developer in India (UTC-7)
I’m a **Data Scientist & AI Consultant** with expertise in **LLMs, NLP, automation, and predictive modeling**. With experience at **Cars24**, I’ve built **pricing models, personalization algorithms, document automation pipelines, and AI-driven insights tools**. Now, I’m looking for **freelance opportunities** where I can apply my skills to solve complex data challenges. ### **What I Offer:** ✅ **NLP & LLM Solutions** – Custom AI models for **text classification, document analysis, and automated grading systems**. ✅ **Algorithm Development** – Building & optimizing **sorting, ranking, and recommendation models**. ✅ **AI-Powered Process Automation** – Automating **document processing, inspections, and compliance checks** using AI. ✅ **Predictive Modeling & Forecasting** – Developing models for **pricing, demand prediction, and risk assessment**. ✅ **RAG & Knowledge Retrieval** – Implementing **vector search (FAISS, Weaviate) and AI-driven insights generation**. ✅ **ML Deployment & Optimization** – Fine-tuning AI models for **scalability, efficiency, and real-time applications**. ### **Tech Stack:** 🛠 **Python, SQL, C++ (basic), FastAPI** 📊 **Hugging Face, OpenAI APIs, TensorFlow, PyTorch** 📌 **FAISS, LangChain, Retrieval-Augmented Generation (RAG)** ☁️ **AWS, Azure Cognitive Services, Google Vertex AI** I’m open to **freelance projects, consulting opportunities, and collaborations** in **data science, AI, and automation**. Let’s connect and build AI-powered solutions! 🚀
Generative networks developer in India (UTC-8)
Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!
Generative networks developer in India (UTC-7)
As a Machine Learning Engineer at Ascendion, I develop cutting-edge NLP solutions using deep learning algorithms and large language models (LLM). I have worked on projects such as a QA chatbot using LLM (GPT, Llama2, WizardLM) and a vector database for efficient document storage, demonstrating my ability to apply innovative techniques to real-world problems. I have over 5 years of experience in Machine Learning, having previously worked at Reliance Jio and Tata Consultancy Services, where I performed exploratory data analysis, feature extraction, and model development for in-vehicle data of faulty parts. I am proficient in Python, Pytorch, Scikit-Learn, and various ML algorithms and frameworks. I also hold a Bachelor of Engineering degree in Electronics and Telecommunication Engineering from Smt. Kashibai Navale College of Engineering, where I acquired a solid foundation in electronics engineering. I am passionate about learning new technologies and staying updated with the latest trends and developments in the field of Machine Learning and NLP. I am always eager to collaborate with other professionals and contribute to the success of the organization. Let's connect and discuss how I can leverage my skills and expertise to add value to your team and projects.
Vetted Generative networks developer in India (UTC+6)
· Over 18 years of experience in software development including leadership roles in **Project Management, Architecture Design, Research & Innovation** · More than 12 years of experience in leading and implementing data analytics using descriptive, predictive, and prescriptive analytics across diverse domains, including **Telecom, Finance, Customer and Marketing Analytics, as well as Network and Cybersecurity analytics** · **Master’s** in data science and engineering from BITS Pilani · Extensive hands-on experience in leveraging **Business Intelligence, Big Data tools Statistical Models, Machine Learning, Deep Learning, NLP techniques, Large Language Models (LLMs), Forecasting Techniques, Recommendation systems, and Graph Analytics** to deliver innovative and data-driven solutions · Hand-on experience in multiple programming languages like **C, C++, Java, Scala, Golang** and Proficient in **Python** · Hands-on experience with data science frameworks and tools, including **Spark, Scikit-learn, TensorFlow, PyTorch, Lang Chain, OpenLLM, Vertex AI, Azure AI, and AWS Sage Maker** · Spearheaded **Advanced** **Research & Innovation,** developing proof-of-concepts **(POCs)** to solve complex business challenges · Designed and implemented Generative AI applications using **LLMs**, **RAG systems** with **Lang Chain** Framework and **Prompt Engineering** · In-Depth understanding of state-of -the-art language models (LLMs) and architectures, training and fine-tuning methodologies · Deployed scalable End to End Big data AI/ML solutions in **AWS/GCP** cloud and on-prem Infrastructure, leveraging Containerization Technologies (**Docker, K8S**), **ML Ops**, and **CI/CD** automated pipelines to deliver enterprise-grade solutions · **Built, led and mentored** a high-performing Data Science Team, fostering a culture of innovation and continuous learning · Literature review, workshops, conferences and publish papers · Published my research as chapter in Rever Publishers: **Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture: Volume II**
Vetted Generative networks developer in India (UTC-8)
Senior Software Engineer specializing in large scale distributed application development and artificial intelligence, backed by 6 years of experience. Recognized for architecting scalable solutions, leading high-impact projects, and mentoring talent.
Vetted Generative networks developer in India (UTC+6)
Data Scientist with 6.5 years of expertise in ML, NLP, and deep learning. Proficient in Python, R, and SQL, skilled in intricate data analysis, visualization, and statistical modeling. Proficiency in Generative AI tools like LangChain, seamlessly integrating it with ChatGPT, Pinecone, LLAMA 2, and Hugging Face for dynamic language-based applications. Strong problem-solving abilities, excelling in fast-paced environments.
Vetted Generative networks developer in India (UTC+6)
I am a self-taught, creative engineer with expertise in multiple domains including software, electronics, embedded systems, and mechanical engineering. I thrive on cross-domain projects, leveraging my skills and knowledge to solve complex problems from unique angles. I enjoy tinkering with technology, experimenting with DIY projects, and collaborating with others to bring ideas to life. I am ambitious and driven, always seeking to push the boundaries of what is possible through the creative application of engineering principles.
Vetted Generative networks developer in India (UTC+6)
I am a software engineer with decade of experience in designing, developing, and testing distributed systems. I started my career in software testing and DevOps before transitioning to software development. For the last two years, I have been focused on Generative AI, during which I have developed several products in this field.
Vetted Generative networks developer in India (UTC+6)
I am a Senior Consultant in Big Data and Data Science with expertise in Generative AI (LLMs), various programming languages, frameworks, databases, and software engineering skills. I have experience in developing chatbots, computer vision applications, analytics dashboards, and software engineering projects.
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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 Generative networks 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 Generative networks 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 Generative networks developers can help keep your website up-to-date.
To hire a Generative networks 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 Generative networks developers effectively and efficiently. Hire full-time Generative networks 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 Generative networks 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 Generative networks 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 Generative networks developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Generative networks 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 Generative networks 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 Generative networks developers, consider niche platforms like Arc that naturally attract and carefully vet their Generative networks developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Generative networks developers.
Some factors to consider when you hire Generative networks 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 Generative networks developers for hire.
Writing a good Generative networks developer job description is crucial in helping you hire Generative networks 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 Generative networks 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 Generative networks developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Generative networks developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Generative networks 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 Generative networks developers to keep up with evolving technology and requirements.
You can find a variety of Generative networks developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Generative networks developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Generative networks 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Generative networks 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 Generative networks developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Generative networks developers.
Every Generative networks 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 Generative networks 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 Generative networks 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 Generative networks 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 Generative networks developers, you can rest assured that all remote Generative networks 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 Generative networks developers before we present them to you. As such, all the remote Generative networks 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 Generative networks developer in 72 hours, or find a full-time Generative networks 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 Generative networks developers.
Depending on the freelance developer job board you use, freelance remote Generative networks developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Generative networks 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 Generative networks 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 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 Generative networks 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 Generative networks developers, check out our FAQs page.