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Vetted Lstm developer in Moldova (UTC+3)
I create autonomous AI agents and ML solutions that automate complex workflows and deliver measurable business value. From agentic systems to recommendation engines, I build production-ready AI that works. What I Build: AI Agents & Workflows (LangGraph, LangChain) | LLM Applications & RAG Systems | ML Models (TensorFlow, PyTorch) | Recommendation Engines | NLP Pipelines | Data-Driven APIs Impact: Developed multi-agent systems using LangGraph for automated decision-making Deployed ML models driving 25-30% efficiency gains Built LLM-powered solutions for e-commerce personalization Engineered RAG systems for intelligent information retrieval Tech Stack: LangGraph • LangChain • OpenAI/Anthropic APIs • Python • TensorFlow • PyTorch • ChromaDB/Pinecone • PostgreSQL • Power BI Open to: AI Agent Development, LLM Engineering, ML roles building next-gen intelligent systems. A strong background in data science and AI engineering has been cultivated through various impactful roles. Passion for harnessing data-driven insights to drive progress and improve systems is evident. My experience in building multilingual architectural solutions and implementing scalable data processes aligns well with objectives of creating meaningful technological advancements. Commitment to excellence and continuous learning underscored by relevant certifications demonstrates readiness to contribute effectively within a forward-thinking environment. In my resume I have experienced many diversified duties which I took pride to provide within the companies that I have worked for. Therefore, I possess adaptability, sincere enthusiasm, the eagerness to work and a persistent dedication in my work.
Remote Lstm developer in the United States (UTC-5)
Experienced backend engineer capable of designing delivering and scaling complex systems Email: jerryyang919@gmail.com Please be wary of impersonators
Microsoft
Remote Lstm developer in the United States (UTC-6)
As a seasoned senior software engineer with over 6 years of experience, I have consistently demonstrated my ability to deliver exceptional results in developing and implementing innovative software solutions. With a strong technical background and a passion for problem-solving, I have successfully contributed to the success of numerous projects throughout my career. My expertise lies in leveraging cutting-edge technologies, collaborating with cross-functional teams, and ensuring the delivery of high-quality software products. I am dedicated to driving efficiency, optimizing performance, and exceeding client expectations. With a proven track record of success, I am confident in my ability to make a significant impact as a senior software engineer.
Remote Lstm developer in the United States (UTC-7)
Data Analyst and Data Science practitioner with hands-on experience transforming large, complex datasets into actionable business intelligence. Skilled in Python, SQL, and PostgreSQL (including vector-based search with pgvector), with a strong foundation in predictive modeling, ETL automation, and dashboard development using Power BI and Tableau. Proven success optimizing workflows, enhancing recommendation systems, and delivering insights across healthcare, financial, and restaurant tech domains. Passionate about solving real-world problems through data-driven storytelling and scalable analytics solutions.
Remote Lstm developer in the United States (UTC-6)
Machine learning engineer with 14+ years of software and data engineering experience, including 6+ years building production ML and LLM systems for a Fortune 50 bank’s cybersecurity organization. Built and scaled an AI/ML practice from a single proof of concept into a multi-team group; co-inventor on two pending U.S. patents covering automated data ingestion and ML-based threat detection. A mathematics background (B.S., Linear Algebra, Real Analysis, Fourier Analysis) underlies applied work in deep learning, LLM pipelines, and statistical anomaly detection.
Remote Lstm developer in the United States (UTC-5)
AI/ML Engineer and Generative AI specialist with 10+ years of experience delivering enterprise-scale AI, RAG, LLM, agentic AI, and cloud-native solutions across finance, healthcare, and e-commerce. Skilled in AWS Bedrock, Python, LangChain, LangGraph, FastAPI, vector databases, MLOps, and serverless AWS architectures. Built production AI systems that improved automation by 40%, reduced hallucinations and latency by 30%, increased pipeline throughput by 40%, and lowered cloud costs by up to 25%. Experienced in AI evaluation, guardrails, Kubernetes, Terraform, CI/CD, security, and cross-functional delivery.
Remote Lstm developer in the United States (UTC-5)
Accomplished Data Scientist and AI/ML Engineer with 5+ years of experience building and deploying advanced AI solutions in finance and enterprise settings. Specialized in Deep Learning (PyTorch, CNN, LSTM, Transformers), Generative AI, LLMs, RAG systems, and MLOps. Delivered high-impact solutions including PyTorch models for credit risk that improved accuracy by 19% and reduced false positives by 27%, LLM-powered RAG applications that cut document analysis time by 45%, and MLOps pipelines on AWS that reduced deployment time from 18 days to 36 hours with 99.5% uptime. Proven expertise in end-to-end ML pipelines using XGBoost, LightGBM, PySpark, NLP (BERT), and cloud platforms (AWS, Azure, Snowflake), consistently driving 17–38% gains in accuracy, efficiency, and business KPIs.
Remote Lstm developer in Canada (UTC-2)
AI Engineer and AWS-certified machine learning professional with 5+ years of combined experience in AI/software engineering, data science, analytics, and client-facing delivery. Build and evaluate production-focused LLM, RAG, document-processing, machine-learning, backend, and cloud workflows using Python, JavaScript, Java, SQL, FastAPI, React, Docker, and AWS. Experienced in debugging, code review, structured evaluation, error analysis, technical research, data pipelines, APIs, monitoring, documentation, and translating ambiguous requirements into reliable systems. Strong fit for remote AI training, LLM/code evaluation, software-engineering assessment, and fractional AI engineering contracts.
Remote Lstm developer in Spain (UTC-4)
**📝 Profile Context / Summary** With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer. I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration. **🤖 AGENTIC AI & MACHINE LEARNING** 2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in: Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers. Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS). AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance. Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy. Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization. AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems. **⚛️ MODERN FRONTEND** React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default: Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro. Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI. State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai. Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack. TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings. **📱 MODERN MOBILE** React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls: Frameworks: React Native (Expo), NativeScript, Flutter. Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose). Emerging: GPU-powered rendering for consumer and enterprise apps. **⚙️ MODERN BACKEND & API** Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support). Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications. API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets. Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS. **☁️ DEVOPS & CLOUD (2026 Standard)** Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model: Cloud: AWS, GCP, Azure (multi-cloud architecture). Containerization & Orchestration: Docker, Kubernetes (K8s), Helm. Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices. IaC: Terraform, AWS CDK, Pulumi. CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins. **🗄️ DATABASES & SEARCH** Relational: PostgreSQL (PostGIS), MySQL, SQLite. NoSQL: MongoDB, DynamoDB, Firebase. Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search). Search: Elasticsearch, Algolia, Meilisearch. Caching: Redis, Memcached. **🔗 CRM, AUTOMATION & INTEGRATION** In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI: CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho. Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms. Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier. Citizen Development: 80% of low-code users are now "citizen developers". **🚀 Why Partner With Me in 2026?** The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes. **I bring:** 10+ years of battle-tested engineering across the full spectrum. Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC. Systems thinking and architectural judgment—skills that AI cannot replace. Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure. Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions. Let's architect intelligence together. **Contact me today.**
Remote Lstm developer in India (UTC+6)
Data Science & AI leader specializing in AI/ML and agentic AI solutions across BFSI, Life Sciences, Retail, and Energy. Skilled in owning end-to-end solution delivery — from RFP strategy and AI solution blueprinting to RAG architecture, predictive modeling, and C-suite stakeholder engagement — with a consistent record of translating complex data into measurable business outcomes.
Shell
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FAQs
Why hire a Lstm 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 Lstm 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 Lstm developers can help keep your website up-to-date.
How do I hire Lstm developers?
To hire a Lstm 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 Lstm developers effectively and efficiently. Hire full-time Lstm 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 Lstm 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 Lstm 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 Lstm developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Lstm developers?
There are two types of platforms you can hire Lstm 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 Lstm 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 Lstm developers, consider niche platforms like Arc that naturally attract and carefully vet their Lstm developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Lstm developers.
Some factors to consider when you hire Lstm 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 Lstm developers for hire.
How do I write a Lstm developer job description?
Writing a good Lstm developer job description is crucial in helping you hire Lstm 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 Lstm 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 Lstm developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Lstm developer?
The top five technical skills Lstm 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 Lstm 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 Lstm developers to keep up with evolving technology and requirements.
What kinds of Lstm developers are available for hire through Arc?
You can find a variety of Lstm developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Lstm developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Lstm 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 Lstm 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 Lstm developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Lstm developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Lstm developers.
Every Lstm 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 Lstm 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 Lstm developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Lstm 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 Lstm 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 Lstm developers, you can rest assured that all remote Lstm 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 Lstm developers on Arc?
Arc pre-screens all of our remote Lstm developers before we present them to you. As such, all the remote Lstm 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 Lstm developer in 72 hours, or find a full-time Lstm 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 Lstm developers.
How much does a freelance Lstm developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Lstm developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Lstm 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 Lstm 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 Lstm 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 Lstm 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 Lstm developers, check out our FAQs page.