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Remote Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developer in the United States (UTC-4)
Hello! I'm Akash Saurabh, a data-driven Data Scientist with 10 years of experience in machine learning, predictive analytics, and AI-driven automation. Proven expertise in building scalable ML models, time-series forecasting, NLP, and deep learning to extract insights and drive business impact. Strong background in data engineering, statistical modeling, and MLOps, ensuring seamless model deployment and operationalization. Adept at leveraging LLMs, fine-tuning models like LLaMA2 with LoRA, and implementing RAG-based AI solutions for decision intelligence. Experienced in Python, SQL, PySpark, TensorFlow, and cloud platforms (AWS, Azure, GCP), with a track record of deploying AI/ML solutions in supply chain, finance, and enterprise automation. WHAT I DO BEST: - Predictive Analytics & Forecasting: Develop and deploy machine learning models for demand forecasting, risk assessment, and anomaly detection. - Data Engineering & Model Deployment: Build ETL pipelines, automate AI workflows, and optimize MLOps processes using Databricks, Snowflake, and Dataiku. - Business Intelligence & Decision Science: Translate complex data into actionable insights, empowering organizations to make data-driven decisions. 💡 Passionate about leveraging data science and AI to solve real-world challenges, I thrive on transforming data into impact. Let’s connect and discuss data science, AI solutions, and business intelligence! 🚀 Beyond work, I enjoy traveling, meeting new people, and cooking. I'm also a trained flute player and am currently exploring standup comedy. Machine Learning : Data Mining, Data Visualization, Machine Learning, Predictive Modeling, Predictive Analysis, Pattern Detection, NLP, Time Series Forecasting, Decision Tree, Random Forest, RNN, CNN, XGBoost, GAN, BERT, Transformer, Regression, Data Analysis, Numerical Linear Algebra, Dimension Reduction Programming Languages : Python, SQL, R, Shell Script, Scala, Java, C++ Version Control System : GitHub, SVN, Jira CI/CD : Jenkins, Octopus Project Management/ ITSM: JIRA, ServiceNow Big Data: Snowflake, BigQuery, Hadoop, Hive, MongoDB Visualization Tools: Power BI, Power App, Tableau Cloud Technology : GCP, AWS, Microsoft Azure Databases : MySql, MS SQL Server, Excel Statistical method : Hypothesis testing, confidence interval, percentile & IQR, ANOVA Test ERP : CMIS, JDE, AGRIS, SAP, AGTRAX
Remote Ai/ml model lifecycle management developer in the United Kingdom (UTC+1)
Technical Product Manager and Applied AI/ML Engineer. Extensive startup experience translating cutting-edge AI research into production systems at multiple unicorn scaleups. 6 years of experience working directly with applied AI research teams on LLMs, Vision, Voice, and Autonomy. Strong foundations in engineering ([B.Sc](http://b.sc/) Mech. Eng.), [M.Sc](http://m.sc/) AI coursework (Neural Computing, Computer Vision @ KU Leuven), and hands-on AI/ML work.
Vetted Ai/ml model lifecycle management developer in India (UTC-7)
Product Manager with 5 years of experience in Product management, Project management and full Product lifecycle ownership including launching 0-1 products leading cross-functional teams at startups. Experience working and collaborating with technical teams, utilizing LLMs, and aligning product vision with business objectives. Holds a Master’s degree in Data Science with practical experience. Skilled in market research, roadmap planning, and feature prioritization. Collaborated with international teams in USA and the Netherlands, to drive product development in cross-cultural environments.
Vetted Ai/ml model lifecycle management developer in India (UTC+6)
I am a passionate Data Scientist / Machine Learning Engineer (MLE) with 7+ years of experience building projects involving Data Analysis, Optical Character Recognition, Image processing, Deep Learning, Natural Language Processing, Computer Vision and Generative AI Visit my website ([mani2106.github.io](http://mani2106.github.io/)) for more of my work,
Vetted Ai/ml model lifecycle management developer in Singapore (UTC+8)
A highly accomplished professional leader, mentor, and guide, renowned for establishing numerous Data Validation and Quality Assurance teams across diverse industry domains including Media Application, ECommerce/Retail, and Telecom. Building High-Performing Teams: Proven track record of building and leading Data Validation and Quality Assurance teams from the ground up across Media Applications, E-commerce, and Telecom. Successfully managed teams of up to 30 Data Analysts, Testers, and Automation professionals, driving quality and efficiency in complex, high-stakes environments. Driving Innovation in Search & Personalization: Led a team of Market Insight and Search Language Analysts for Apple Media Products, focusing on data annotation, judgment ratings, and auditing. Optimized search and personalization features through offline data validation, NLP, LLMs, and AI/ML algorithms using human-centered insights. Domain Expertise: Recognized expert in Search and Personalization for Digital Media Products, with a strong focus on Human Factors and Trust & Safety. Extensive experience in Software Quality Assurance across E-commerce, Digital Publishing, Payments, and Telecom, ensuring optimal user experiences and system reliability. Agile Champion: Successfully implemented Agile methodologies to enhance team productivity and streamline testing processes during my tenures in DFS, SPH and Apple. Strategic Vendor Management: Proven ability to formulate effective vendor contracts (RFI/RFPs, MSAs, SOWs) alongside managing project budgets (CAPEX/OPEX) and overseeing invoicing processes. Exceptional People Leader: Demonstrated excellence in global team management, talent acquisition, performance & compensation planning, and mentoring large software and data validation teams.
Remote Ai/ml model lifecycle management developer in the United States (UTC-5)
I’m a full-stack software developer and system architect with expertise in AI, blockchain, Django, React, and automated trading systems. I’ve designed secure smart contracts, deployed high-frequency trading bots, and built enterprise web platforms from scratch. With a strong foundation in both programming and business strategy, I specialize in delivering end-to-end technical solutions that drive measurable results. I’m now looking for opportunities where I can build innovative products and lead development on forward-thinking tech teams.
Remote Ai/ml model lifecycle management developer in the United States (UTC-5)
• Software developer with 4 years experience working on multiple products and experiences, including a developer API portal, demo platform, and demo ideation and creation • Lead teams at multiple times during career in industry, including leading a small team of frontend developers now and leading a full content and communications team • Continuously learning and improving skills that are already honed, including finding hands on tasks while on the job, or working on projects and learning the newest technologies and skills to improve as a developers
Remote Ai/ml model lifecycle management developer in the United Kingdom (UTC+1)
PROFILE • IT consultant with a focus on Data engineering and analytics. Python SQL AZURE Pyspark • Working towards being a senior data engineer and all-round proficient software developer • Passionate about building decentralised accessible services #web3 #blockchain
Vetted Ai/ml model lifecycle management developer in Pakistan (UTC-5)
Results-driven AI Engineer & Data Science Consultant with 3+ years of experience delivering impactful AI solutions at IBM Consulting in the MEA region. Specialties Include: developing production-grade generative AI systems, machine learning pipelines, deep learning architectures, LLM fine-tuning, AI integrations, cloud-native AI deployments (AWS, Azure), and customer experience optimization.
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Ready to hire your ideal Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 an Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers can help keep your website up-to-date.
To hire an Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers effectively and efficiently. Hire full-time Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, consider niche platforms like Arc that naturally attract and carefully vet their Ai/ml model lifecycle management developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Ai/ml model lifecycle management developers.
Some factors to consider when you hire Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers for hire.
Writing a good Ai/ml model lifecycle management developer job description is crucial in helping you hire Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers to keep up with evolving technology and requirements.
You can find a variety of Ai/ml model lifecycle management developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Ai/ml model lifecycle management developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Ai/ml model lifecycle management developers.
Every Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, you can rest assured that all remote Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers before we present them to you. As such, all the remote Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developer in 72 hours, or find a full-time Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers.
Depending on the freelance developer job board you use, freelance remote Ai/ml model lifecycle management developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management 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 Ai/ml model lifecycle management developers, check out our FAQs page.