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Vetted MLOps developer in India (UTC+6)
Accomplished Data and MLOps Engineer with over 6 years of experience spearheading innovative data solutions for large enterprises and leading startups. Possesses a robust background in data engineering with a specialization in MLOps and DataOps.
Vetted MLOps 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 MLOps developer in India (UTC+6)
I am a Senior Machine Learning Engineer with experience in developing and deploying efficient AI models to solve business problems. I have expertise in building scalable solutions by leveraging various industry-standard technologies like Docker, Kubernetes, APM solutions, SDLC, and REST API frameworks.
Vetted MLOps developer in India (UTC+6)
Hi, I am a Data Scientist, have experience for almost 5 years. I have worked in several size of startups and build ML/AI applications. My primary skills are NLP and ML. I even have interest in AI product development.
Vetted MLOps developer in India (UTC+6)
AI/ML Engineer at Calsoft with 2+ years of industry experience, where I leverage AI and ML to solve complex business problems and deliver high-quality solutions that drive value for clients. I have industry experience in building predictive models, developing end-to-end machine learning pipelines, and deploying ML and LLM applications using a range of tools and technologies, such as Rasa, Machine Learning, NLP, Deep Learning, Statistics, Product Analytics, MLOps, FastAPI, Flask Python, SQL, Tableau, AWS, and Generative AI.
Vetted MLOps developer in India (UTC+6)
My name is **Krishna Sangeeth**, I am a **Machine Learning engineer** who is living in India. My last full time job was as a Machine Learning Lead at Avalara focussing on MLOps and Document AI in a fintech domain. Priort to that I worked in the Global AI Accelerator group of Ericsson as a Senior Data scientist working on Timeseries Analysis, Anomaly detection etc in Telecom domain. Prior to Ericsson I have worked on solving large scale hierarchial classification at Indix and Data Fusion for Nielsen. I have also had a run in with many diverse engineering problems at TCS working on things ranging from legacy systems such as Mainframes, Fortran to Bigdata systems like Spark, Hadoop etc. I care deeply about building software, specifically about building software systems where there is intersection of **Distributed systems** and **Artificial Intelligence**. Not really a fan boy of any particular technology stack , but i do tend to use Python for getting most of the things done. I am an **open-source** enthusiast with successful code contributions made to projects such as scikit-learn, mlflow etc. You can find some of the work that i have done over [here](https://whiletruelearn.github.io/projects/)
Vetted MLOps developer in India (UTC+6)
I hold an Integrated Masters in Mathematics and Computing with a GPA of 8.1 from IIT Kharagpur. Currently, I work as a Senior Data Scientist at Dream 11, specializing in Python, Pytorch, Spark, Machine Learning, NLP, and Deep Learning. My projects include user segmentation, propensity modeling, Multi Armed Bandits optimization, attribution framework development, and data validation using NLP. At MSCI, I worked on automating the RCA process and at American Express, I led the development of Fraud Application models for identity theft.
Vetted MLOps developer in India (UTC+6)
Currently working as a backend developer at TCS, specializing in developing advanced Gen AI chatbots and optimizing workflows with the Langchain framework. Skilled in implementing machine learning solutions for chatbots, automated processes, conversational AI, and ticket routing services.
Vetted MLOps developer in India (UTC+6)
Principal Data Scientist with over a decade of experinece delivering strategic business value through data science tools and techniques. Key strengths in advanced mathematics, programming, ML development and cross-functional communications. Have received delivery excellence award from Govt. of India for key Govt. AI project seamless delivery.
Vetted MLOps developer in India (UTC+6)
Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.
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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 MLOps 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 MLOps 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 MLOps developers can help keep your website up-to-date.
To hire a MLOps 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 MLOps developers effectively and efficiently. Hire full-time MLOps 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 MLOps 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 MLOps 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 MLOps developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire MLOps 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 MLOps 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 MLOps developers, consider niche platforms like Arc that naturally attract and carefully vet their MLOps developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote MLOps developers.
Some factors to consider when you hire MLOps 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 MLOps developers for hire.
Writing a good MLOps developer job description is crucial in helping you hire MLOps 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 MLOps 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 MLOps developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills MLOps 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 MLOps 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 MLOps developers to keep up with evolving technology and requirements.
You can find a variety of MLOps developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance MLOps developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote MLOps 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 MLOps 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 MLOps developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire MLOps developers.
Every MLOps 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 MLOps 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 MLOps 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 MLOps 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 MLOps developers, you can rest assured that all remote MLOps 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 MLOps developers before we present them to you. As such, all the remote MLOps 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 MLOps developer in 72 hours, or find a full-time MLOps 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 MLOps developers.
Depending on the freelance developer job board you use, freelance remote MLOps developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find MLOps 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 MLOps 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 MLOps 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 MLOps developers, check out our FAQs page.