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Vetted Time Series Analysis developer in India (UTC+6)
I have 8+ years of experience in the IT industry as an AWS, Azure Cloud DevOps Engineer, and Linux Administrator, specializing in automating, building, deploying, and maintaining applications. My expertise includes AWS services such as EC2, S3, VPC, ELB, IAM, CloudWatch, ECS, Lambda, CodeCommit, CodePipeline, and DynamoDB. I have hands-on experience with Chef and Ansible, and I’ve deployed Azure Resource Manager resources and implemented security for web applications on Azure. I’m skilled in automating application deployment from Git repositories onto Docker containers, configuring CI/CD pipelines with Jenkins, and writing Chef recipes. My container management experience includes using Docker, creating local Kubernetes clusters, and deploying applications. I’ve worked extensively with Terraform for infrastructure management and have converted Terraform modules to CloudFormation templates. My scripting expertise includes PowerShell, Python, JSP, HCL, and Shell/Perl scripting. I’ve implemented continuous delivery pipelines with Docker, Jenkins, GitHub, and AWS AMIs, and I’ve deployed services using Chef, Ansible, and Terraform on AWS and Google Compute Cloud. I’m experienced in setting up and managing Kubernetes clusters in Azure, handling installation, configuration, optimization, auto-scaling, and security. I have also deployed Jenkins and Nexus on Docker using Terraform and automated the installation and configuration of web servers like WebSphere, WebLogic, Apache Tomcat, and JBOSS using Ansible, Chef, and Puppet. My Kubernetes expertise includes building HA clusters, multi-cluster setups using Istio, and understanding Kubernetes networking and advanced network policies like Calico and Cilium. Additionally, I’m proficient in deploying Kubernetes clusters using AKS, integrating Azure AD for RBAC, Managed Identity, Container Registry, and connectivity.
Vetted Time Series Analysis developer in India (UTC+6)
Personable, tenacious and Senior Machine learning Operation(MlOps) engineer with years of experience in AI Research and analyst environments. Exhibits excellent organizational and problem-solving skills. Works well in team environments and displays strong work ethic
Time Series Analysis developer in India (UTC+6)
I am a Senior Software Engineer with 6 years of experience in Mumbai, India. I have worked on projects involving cloud management, database development, and Kubernetes operations. My skills include Python, Java, Kubernetes, AWS, and more. I have also fixed bugs in open-source projects and received spot awards for delivering product features.
Time Series Analysis developer in India (UTC+6)
Developing data-centric products for last 5+ years. Freelance consulting (5+ yrs) on the utilization of data through Data Engineering, Data Science, Machine Learning (ML), Deep Learning (DL), Computer Vision, Natural Language Processing (NLP), Generative AI and Machine Learning in Production (MLOps). Experience of working with various industries such as fintech, academic, retail/e-commerce, healthcare, agriculture, manufacturing, water treatment etc. Certified in Machine Learning, Deep Learning, Cloud Platform and MLOps. Co-authored 3 publications in the form of book chapters on the topics 1. Machine Learning Methods for Managing Parkinson's Disease (Springer), 2. Utilizing Deep Learning for Plant Disease Detection (De Gruyter) and 3. IoT for Smart farming (De Gruyter). Accustomed to working in multicultural environment and a goal-oriented team member. Passionate brainstormer with focus on converting ideas into real time implementations.
Time Series Analysis developer in India (UTC-8)
Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!
Time Series Analysis developer in India (UTC-8)
**Data Scientist skilled in building and deploying machine learning models (LSTM, Random Forest) to optimize algorithmic trading strategies.** **Boosted returns by 83% and reduced drawdowns by 24% through downtrend and liquidation detection. Strong background in Python, Machine Learning, time series forecasting, sentiment analysis and leveraging stock market data to optimize trading strategies. Proficient in Python, Flask APIs, NumPy, Pandas, and automating backtesting pipelines.**
Vetted Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developer in India (UTC-8)
Hi, I am a seasoned Machine Learning Engineer and Data Science Researcher. I specialize in analytics, natural language processing, and machine learning, with over 5 years of professional experience. Proficient in utilizing Python, R, and relevant tools, I conduct advanced predictive modeling and uncover insightful trends, patterns, and correlations within datasets, enabling data-driven decision making processes. Check out my Portfolio at: https://bagchigourab.github.io
Time Series Analysis developer in India (UTC-7)
Experienced in behavorial analytics, working with real time data. Worked on a diverse spectrum of problems such demand forecasting,sales propensity models, Optimisation, Impact assessment, Causal modelling, Supply chain analytics and credit and fraud modelling. Have a hands on experience working with Python and pyspark including the use of relevant libraries and packages as well as platforms such as AzureDB, HIVE and AWS Sagemaker. Have a working knowledge of deep learning models as well. Graduated from IIT Roorkee in July 2019 with a Bachelors in Production and Industrial engineering.
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Ready to hire your ideal Time Series Analysis developers?
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 Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers can help keep your website up-to-date.
To hire a Time Series Analysis 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 Time Series Analysis developers effectively and efficiently. Hire full-time Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers, consider niche platforms like Arc that naturally attract and carefully vet their Time Series Analysis developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Time Series Analysis developers.
Some factors to consider when you hire Time Series Analysis 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 Time Series Analysis developers for hire.
Writing a good Time Series Analysis developer job description is crucial in helping you hire Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers to keep up with evolving technology and requirements.
You can find a variety of Time Series Analysis developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Time Series Analysis developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Time Series Analysis developers.
Every Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers, you can rest assured that all remote Time Series Analysis 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 Time Series Analysis developers before we present them to you. As such, all the remote Time Series Analysis 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 Time Series Analysis developer in 72 hours, or find a full-time Time Series Analysis 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 Time Series Analysis developers.
Depending on the freelance developer job board you use, freelance remote Time Series Analysis developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis 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 Time Series Analysis developers, check out our FAQs page.