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Vetted Healthcare data exchange developer in India (UTC-7)
Laser focussed on quant research in derivatives market and training state-of-the-art AI models across the globe.
Vetted Healthcare data exchange 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 Healthcare data exchange developer in India (UTC-7)
I'm excited to apply for this opportunity, bringing 7 years of experience across data engineering and Python development, with a strong focus on the finance and banking domain. Throughout my career, I’ve built scalable data pipelines, automated critical workflows, and developed backend systems that support data-driven decisions. My core strength lies in Python, especially with the pandas library, and I’m comfortable working with SQL and various automation tools to optimize performance and ensure data integrity. Having worked on both the engineering and development sides, I bring a well-rounded understanding of systems and a sharp eye for detail. I'm also known for being a clear communicator, a quick learner, and someone who takes complete ownership of tasks — whether that’s building something from scratch or troubleshooting complex data issues. Looking forward to the chance to contribute to your team and bring real value through clean, reliable, and scalable data solutions.
Vetted Healthcare data exchange developer in India (UTC-7)
Results driven professional with 8 years’ experience in driving critical business outcomes through data driven recommendations and business strategies. Expertise and knowledge of executing business problems using data, developing models using ML and NLP for text data, interpreting results. Experience in using SQL to deep dive into datasets for actionable business insights. Proficient in Python for data collection, data wrangling, data analysis, model development and deployment and Expertise in Data Visualization using Tableau and Looker. Exploring GENAI for practical applications with a focus on leveraging Large Language Models (LLMs) within the AWS Bedrock environment
Vetted Healthcare data exchange developer in India (UTC+6)
Experienced Software Development Engineer with strong expertise in backend system architecture design for distributed systems. Good understanding and exposure to multiple architectural design patterns for designing scalable performant systems. Hands on experience with multiple AWS cloud services. Experienced Big Data Engineer for architecting and designing ETL pipelines for processing large data and delivering valuable insights. Optimizing Spark jobs for faster processing. Strong knowledge and hands on with Microservices with Dockers and Kubernetes.
Vetted Healthcare data exchange 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 Healthcare data exchange developer in India (UTC+6)
I am a Senior Data Scientist with 6+ years of experience in projects involving Gen AI deep learning, user insights, and biometric identification systems. Proficient in Python, TensorFlow, and various cloud platforms. TECHNICAL SKILLS □ Languages: Python (Numpy, Pandas, Jupyter, OpenCV, Scipy, Flask, Fast API, Plotly), SQL/HQL. PySpark □ Deep Learning and ML models: TensorFlow, Keras, PyTorch, fast.ai, LightGBM, XGBoost, Scikit-Learn □ Others: GCP, Azure, Docker, Kubernetes, PySpark, Conda, Git, MLflow, JMeter, Linux Bash
Vetted Healthcare data exchange developer in India (UTC+6)
With 7 years of hands-on engineering experience, spearheaded the development of real-time ecommerce backend systems, enhancing user engagement through enterprise-grade solutions; resulted in 20k new orders/day & reduced CAC by 47% for new users. Led & executed tech charter of the ~ 25 backend services in the org by tech simplification resulted in saving ~1000 $ / month with improved MMTD/MMTR.
Vetted Healthcare data exchange developer in India (UTC+6)
I have over 8 years of experience in software development, specializing in Python, Flask, C/C++, microservices, AWS, and database management. I have worked at Microsoft, Intel, and Tetrasoft.
Vetted Healthcare data exchange developer in India (UTC+6)
Currently working as a Data Engineer, 5.4 years of experience in specializing Data Analysis and Machine Learning. Experienced with all stages of Data Cleaning, preparation along with data visualization. Experienced in Apache Airflow with writing processes in python for data orchestration. Strong background in Python, Regular Expression, Web-scraping, Numpy, Pandas, Matplotlib, T-SQL and PySpark. I have also certified in Aws machine learning and GCP professional data engineer.
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Ready to hire your ideal Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers can help keep your website up-to-date.
To hire a Healthcare data exchange 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 Healthcare data exchange developers effectively and efficiently. Hire full-time Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers, consider niche platforms like Arc that naturally attract and carefully vet their Healthcare data exchange developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Healthcare data exchange developers.
Some factors to consider when you hire Healthcare data exchange 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 Healthcare data exchange developers for hire.
Writing a good Healthcare data exchange developer job description is crucial in helping you hire Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers to keep up with evolving technology and requirements.
You can find a variety of Healthcare data exchange developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Healthcare data exchange developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Healthcare data exchange developers.
Every Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers, you can rest assured that all remote Healthcare data exchange 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 Healthcare data exchange developers before we present them to you. As such, all the remote Healthcare data exchange 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 Healthcare data exchange developer in 72 hours, or find a full-time Healthcare data exchange 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 Healthcare data exchange developers.
Depending on the freelance developer job board you use, freelance remote Healthcare data exchange developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange 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 Healthcare data exchange developers, check out our FAQs page.