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Vetted Snowpark ml developer in India (UTC-7)
I am an accomplished engineering leader with 20+ years in Fintech, Travel, and e-Commerce. I excel in cross-cultural team leadership, rapid product launches, and scaling for hyper-growth. My career spans pivotal roles at ThoughtWorks, Cleartrip, SAP-Ariba, and Simpl. I lead strategic roadmaps and cloud-native solutions at Simpl and Cleartrip, specializing in real-time data processing and machine learning. At Simpl, I reduced processing times to 60 milliseconds, boosting user approval and TPV. At Cleartrip, I enhanced a data platform, increasing conversions by 0.75% and implementing advanced analytics. I optimized AWS costs by 13%, improved search efficiency by 80%, and managed a monitoring system handling millions of documents with 15-millisecond latency. I also streamlined Cleartrip’s release cycles to weekly, implementing agile CI/CD practices with a 15-minute build cycle. I thrive on designing and architecting platforms, solutions, and productivity tools. My journey into distributed systems since 2015 has fueled my curiosity and love for exploring white papers and books on the subject. I enjoy programming, problem-solving, and collaborating with like-minded individuals. Deeply engaged in the tech community, I attend meet-ups to discuss cutting-edge topics in distributed systems and language advancements, while currently focusing on mastering MLOps principles for deploying machine learning models effectively. I have extensive SaaS product experience, contributing to Mingle, an agile project management tool, and Twist, a BDD test automation tool, at ThoughtWorks Studios. At SAP, I developed SAP Logistics Business Network and SAP Business Network Freight Collaboration, leading the engineering team to design scalable features for intercompany logistics collaboration, optimize cloud deployment for global accessibility, and enhance the user interface for managing logistics operations. Beyond work commitments, I find joy in photography, birdwatching, swimming, cycling, yoga, and bodyweight exercises. I am also an enthusiastic trekker, having explored extensive regions of the Western Ghats. Reach out to me to explore consulting opportunities, discuss engineering challenges, or exchange insights on technology and entrepreneurship. I'm open to talking about; - Hiring and Building Product Engineering Teams - Provided mentorship to build high-quality engineering teams for product companies, fostering growth and development within the team. - Product Development - Data Engineering Platform and MLOps capabilities - Strategic Leadership
Vetted Snowpark ml 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 Snowpark ml developer in India (UTC-7)
_AI Engineer and Machine Learning Scientist with 7+ years of experience designing, fine-tuning, and deploying_ _end-to-end ML and LLM systems in production. Skilled in LLM user analytics, RAG pipelines, prompt_ _engineering, and model observability. Deep expertise in NLP, multimodal learning (text + image), and generative_ _AI with a strong foundation in mathematics, statistics, and probabilistic modeling. Proficient in Hugging_ _Face, PyTorch, LangChain, and cloud-based MLOps. Passionate about building scalable AI products through_ _rigorous experimentation, algorithm optimization, and cross-functional collaboration._
Vetted Snowpark ml 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml developer in India (UTC+6)
As the Chief Technology Officer at Corestrat, a leading fintech company that provides platform as a service solutions, I oversee the software design, database design, and roadmap for all products and services. I also manage the hiring, training, and performance of the technical team, and ensure the business continuity and disaster recovery plans for all technical aspects. I have 7+ years of experience in machine learning, data storage, and full stack product development, working with various technologies and frameworks such as Python, Flask, MySQL, NoSQL, and Azure etc. I have successfully delivered multiple projects, such as an automated financial model, digital lending solution, Company financial automation and have enhanced the efficiency, accuracy, and scalability of Corestrat's offerings. I am passionate about solving complex problems, creating innovative solutions, and learning new skills.
Vetted Snowpark ml 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 Snowpark ml 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 Snowpark ml 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.
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Ready to hire your ideal Snowpark ml developers?
Get startedArc offers pre-vetted remote 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml developers can help keep your website up-to-date.
To hire a Snowpark ml 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 Snowpark ml developers effectively and efficiently. Hire full-time Snowpark ml 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Snowpark ml 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 Snowpark ml 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 Snowpark ml developers, consider niche platforms like Arc that naturally attract and carefully vet their Snowpark ml developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Snowpark ml developers.
Some factors to consider when you hire Snowpark ml 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 Snowpark ml developers for hire.
Writing a good Snowpark ml developer job description is crucial in helping you hire Snowpark ml 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 Snowpark ml 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 Snowpark ml developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Snowpark ml 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 Snowpark ml 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 Snowpark ml developers to keep up with evolving technology and requirements.
You can find a variety of Snowpark ml developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Snowpark ml developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Snowpark ml 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 Snowpark ml 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 Snowpark ml developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Snowpark ml developers.
Every Snowpark ml 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml developers, you can rest assured that all remote Snowpark ml 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 Snowpark ml developers before we present them to you. As such, all the remote Snowpark ml 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 Snowpark ml developer in 72 hours, or find a full-time Snowpark ml 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 Snowpark ml developers.
Depending on the freelance developer job board you use, freelance remote Snowpark ml developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Snowpark ml 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 Snowpark ml 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 Snowpark ml 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 Snowpark ml developers, check out our FAQs page.