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Vetted Spark ml Lib developer in India (UTC+6)
7+ years of extensive experience in Machine Learning, Deep Learning and Software Development Solutions. A motivated Data Scientist well-versed in Statistical Analysis, Machine Learning, Deep Learning using Python. Have Experience with MNCs as well as startups with work assignments across the USA, UK, Australia, and India. Well recognized for getting things done and getting things fixed. Essentially a learner at heart, a problem solver, and always strives to be a value creator.
Vetted Spark ml Lib 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**.
Vetted Spark ml Lib developer in India (UTC+6)
I am a Senior software engineer with 7+ years experience building software products that are scalable, secure and resilient. I've built Machine Learning platforms from scratch and worked with large enterprises such as Inmobi (Asia's biggest Adtech company), Charles River Laboratories, AusNet Services, Forward Edge AI, Justdial (India's largest yellow pages company), IPsoft Research to reduce cost and improve performance. I am passionate about innovation powered by Machine learning. I love traveling and exploring deep blue seas. **I have taught total of 300 students in class room and online on Introduction to Python, Statistics, Machine Learning. Mentoring students in their Data science journey as a remote mentor for Thinkful Inc [New York]** **Technological skills:** - Languages: Python3, Java, Javascript, NodeJs - Frameworks: Apache Spark, Tensorflow, Google Dialogflow, FLASK, Kubernetes, Docker, Spring Boot MVC - Databases : Mysql, MongoDB - Cloud : Azure - AKS, Keyvault, VMSS, Blob, Azure Databricks, Azure Machine Learning Studio, Azure Batch AWS - EC2, EMR, S3, Lambda Datascience Specific packages : *pandas, numpy, matplotlib, scikit-learn, keras, scipy, jupyter notebook, Google colab* **Achievements:** - Google summer of code intern at Openstack - Favorite Datascience teacher award **References :** - [Teaching Portfolio] https://drive.google.com/file/d/1fDNuPgR3OXamJbc07AMxT6ITMO8ArqLA/view?usp=sharing - https://gist.github.com/manishanker/68a130fc00d8424656e4ce10d6147a0b I love working on solving some challenging problems. I am very passionate about teaching and mentoring others. I believe a lot in this quote: ```Give a man a fish, and you feed him for a day. Teach a man to fish, and you feed him for a lifetime.``` When I am not writing some code, I love to stay updated on recent advancements in Machine Learning. I love traveling and experiencing new cultures. I enjoy meeting people from different background and interacting with them and learning from them. This has enabled me to think in multi dimension and has ingrained me with a attitude of asking **why** to find more answer and always stay curious. I have done total 6 scuba dives in Thailand(1), Bali(4), Ibiza(1). I am always up for a healthy discussion on topics like travel, discovering yourself, learning from others.
Vetted Spark ml Lib developer in India (UTC+6)
HHHello! I'm Avikalp, a **tech nerd, builder & automater**, passionate about helping developers thrive in their careers. With software development, data science, and leadership expertise, I specialize in full-stack development & deployment of large-scale commercial AI-driven products. My entrepreneurial instincts help me focus on the problem and find the most optimal (economical & performant) solutions. ver code very fulfilling and I've played a crucial role in establishing the code review, versioning & knowledge transfer mechanisms for every team I've worked with.
Vetted Spark ml Lib developer in India (UTC+6)
**A skilled and seasoned Software Engineer with 13 years of experience in developing robust and scalable** **software solutions. Proven track record of working with cross-functional teams, driving innovation, and** **delivering high-quality products. Passionate about leveraging cutting-edge technologies to solve complex** **challenges and drive business growth.**
Remote Spark ml Lib developer in India (UTC+6)
Innovative, adaptable, and action-oriented data professional with 5 years of experience designing machine learning solutions to drive business growth and efficiency. Skilled in statistics, analytics, and software engineering. Expert in formulating data-driven decision-making based on ambiguous business requirements, driving scalable AI innovation. Collaborative team player with ability to efficiently deliver results and foster productive cross-departmental relationships. Ability to facilitate effective communication of insights and findings to stakeholders, empowering informed decision-making and propelling organizational success.
Microsoft
Remote Spark ml Lib 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
SAP
Remote Spark ml Lib developer in India (UTC+6)
Azure Data Engineer possessing in depth knowledge of data manipulation, data migration, data processing, and data mining skills to solve challenging business problems.
IBM
Remote Spark ml Lib developer in India (UTC-7)
Highly analytical and detail-oriented data engineer with 4+ years of experience in developing and enhancing ETL pipelines, designing solutions, and managing DevOps efforts. Proficient in AWS, GCP services, Hadoop and Spark Architecture, SQL, and real-time streaming data. Strong experience in Python, SQL queries, and cross-platform cloud technologies and demonstrates extensive exposure working with LLMs and building Gen AI products. Demonstrates extensive experience in translating business requirements into logical program designs, delivering stable application systems, and managing the full software development lifecycle (SDLC). Proven track record of improving business performance through efficient data solutions and automation.
Google
Remote Spark ml Lib developer in India (UTC+6)
A highly motivated and goal-oriented software engineer with a robust skill set in **JavaScript, Python and Java**. My expertise spans across key frameworks such as **ExpressJs, Playwright, Vitest and PySpark**, showcasing proficiency in strong backend development. With handson experience in **Nodejs, Kafka, CI/CD and AWS services like S3, Lambda,** I bring a versatile approach to project implementation. My proficiency extends to managing databases, including **MongoDB and Postgres**. Known for consistency and hard work, I am dedicated to delivering impactful solutions and achieving project success. (**Received recognition from Barclays for creating fully automated recovery system**)
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FAQs
Why hire a Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers can help keep your website up-to-date.
How do I hire Spark ml Lib developers?
To hire a Spark ml Lib 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 Spark ml Lib developers effectively and efficiently. Hire full-time Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Spark ml Lib developers?
There are two types of platforms you can hire Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers, consider niche platforms like Arc that naturally attract and carefully vet their Spark ml Lib developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Spark ml Lib developers.
Some factors to consider when you hire Spark ml Lib 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 Spark ml Lib developers for hire.
How do I write a Spark ml Lib developer job description?
Writing a good Spark ml Lib developer job description is crucial in helping you hire Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Spark ml Lib developer?
The top five technical skills Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers to keep up with evolving technology and requirements.
What kinds of Spark ml Lib developers are available for hire through Arc?
You can find a variety of Spark ml Lib developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Spark ml Lib developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Spark ml Lib developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Spark ml Lib developers.
Every Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developers, you can rest assured that all remote Spark ml Lib 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 Spark ml Lib developers on Arc?
Arc pre-screens all of our remote Spark ml Lib developers before we present them to you. As such, all the remote Spark ml Lib 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 Spark ml Lib developer in 72 hours, or find a full-time Spark ml Lib 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 Spark ml Lib developers.
How much does a freelance Spark ml Lib developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Spark ml Lib developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Spark ml Lib 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 Spark ml Lib 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 Spark ml Lib developer?
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 Spark ml Lib 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 Spark ml Lib developers, check out our FAQs page.