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Vetted Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developer in India (UTC+6)
I am a skilled Software Engineer with experience in implementing data privacy practices, developing multi-tenancy architecture, and designing high-performance portals. Proficient in Java, Cloud, Spring Boot, Microservices, and Machine Learning.
Vetted Llm inference tuning developer in India (UTC+6)
With over 5 years in the IT industry, I specialize in Storage Software Development and am currently a Software Developer at Scale AI. My role involves training AI models using Python, where I apply my deep understanding of RAG applications and Large Language Models (LLMs). I excel at evaluating and selecting the right LLMs for different use cases and deploying data science models into production. I bring strong analytical and problem-solving skills to the table and have a proven track record of working effectively with business teams. I am proficient in Python and C and have a solid foundation in Volume Management, Clustering, and various storage and networking protocols.
Vetted Llm inference tuning 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 Llm inference tuning developer in India (UTC+6)
Experienced Leader with a 25-year Track Record: A seasoned expert with over two decades of experience, achieving exceptional results through humility, unwavering integrity, and influential leadership. Global Leadership Proficiency: Adept at steering global teams and initiatives, demonstrating exceptional leadership across diverse cultural landscapes, and fostering collaboration for unified success on a global scale. Program/Product Management Excellence: Seasoned in program and product management, orchestrating complex, multi-faceted initiatives with precision, ensuring alignment with organizational objectives, and consistently delivering on-time on-budget results with P&L responsibilities. Cross-Border Collaboration: Proficient in cross-border collaboration, bridging geographical and cultural gaps to facilitate seamless communication and efficient execution of global projects. International Stakeholder Engagement: Extensive experience in engaging and managing stakeholders on an international level, ensuring alignment of project goals with the needs and expectations of stakeholders across the globe. Innovative Project Accomplishments: In recent endeavors, I have spearheaded pioneering initiatives: - Handled Mareana Intelligence (MI) Product Development achieving 25% in profits - Conceived, developed, and implemented "No Code ML," revolutionizing data training with diverse ML algorithms and seamless model deployment. - Established the Data Science Studio (DSS), empowering users to explore and construct advanced machine learning programs.
Vetted Llm inference tuning developer in India (UTC+6)
A passionate Software Engineer/Data Scientist working on unstructured data to deliver business value, focusing on NLP and Computer vision. I always like to do things hands-on.
Vetted Llm inference tuning developer in India (UTC+6)
A proactive and curious Senior Machine Learning Engineer with 7 years of expertise in crafting Artificial Intelligence (AI) products for multiple Fortune 500 companies, including Microsoft and Samsung. With a robust and versatile skill set anchored in programming languages, frameworks, and technologies like Python, Pandas, Amazon Web Services (AWS), Amazon S3, Kubernetes, and, Docker, he brings expertise in implementing end-to-end solutions, building, deploying, executing, maintaining, and optimizing production Machine Learning (ML) pipelines. Divyanshu is also versed in automating solutions and writing unit and integration tests. Combining his outstanding technical background with excellent interpersonal skills, he is valued for collaborative teamwork, leadership and communication capabilities, and a knack for problem-solving, effectively delivering top-notch solutions that exceed client expectations.
Vetted Llm inference tuning developer in India (UTC+6)
With 8 years of experience in software development and project implementation, I am a passionate and skilled machine learning engineer who thrives on delivering innovative and impactful solutions for the computer software industry. I currently work as a Machine Learning Engineer III at Phenom, a global leader in talent experience management. Looking for a place to implement and work on extensive data, machine learning pipelines with like-minded people and learn new things.
Vetted Llm inference tuning developer in India (UTC+6)
I am a Senior Software Engineer with expertise in Python, Machine Learning, and AI. I have developed AI chatbots, customer support agents, and predictive ML models for network operations. My educational background includes a Master's in Software Systems with a Data Analytics specialization.
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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 Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers can help keep your website up-to-date.
To hire a Llm inference tuning 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 Llm inference tuning developers effectively and efficiently. Hire full-time Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers, consider niche platforms like Arc that naturally attract and carefully vet their Llm inference tuning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Llm inference tuning developers.
Some factors to consider when you hire Llm inference tuning 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 Llm inference tuning developers for hire.
Writing a good Llm inference tuning developer job description is crucial in helping you hire Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers to keep up with evolving technology and requirements.
You can find a variety of Llm inference tuning developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Llm inference tuning developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Llm inference tuning developers.
Every Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers, you can rest assured that all remote Llm inference tuning 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 Llm inference tuning developers before we present them to you. As such, all the remote Llm inference tuning 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 Llm inference tuning developer in 72 hours, or find a full-time Llm inference tuning 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 Llm inference tuning developers.
Depending on the freelance developer job board you use, freelance remote Llm inference tuning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning 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 Llm inference tuning developers, check out our FAQs page.