Para pagar por hora, para asesoría y diseño de una arquitectura de acuerdo a un caso de uso que especifique. Con conocimientos en: • • ...• • • Información relacionada con: • Patrones y arquitecturas modernas (microservicios, data mesh/lakehouse, serverless y Zero Trust). • Tecnologías emergentes (IA/MLOps, Contenedores, RPA, APIs REST + GraphQL, DLTs, Low/No Code, entre otras) Por favor dar respuesta.
...MVP launch + $50K por 1000 usuarios activos --- ### **3. Head of AI Engineering** **Profile**: Ex-OpenAI/Anthropic/similar + experiencia comercial **Habilidades core**: - **Agent architecture**: Multi-agent systems, coordination protocols - **LLM optimization**: Fine-tuning, prompt engineering, RAG systems - **Domain specialization**: Marketing, sales, operations knowledge - **Production ML**: MLOps, model deployment, monitoring **Responsabilidades específicas**: - Diseñar agentes especializados (Marketing, Sales, Ops) - Sistema de learning from results feedback - Anti-gaming mechanisms en resultados - Performance optimization de agentes **Deliverables Q1**: - Marketing Agent funcional (Shopify + Meta Ads) - Results baseline establishment system - Agent performa...
Quiero una presentación sobre MLops donde se especifique: - Que es (1 slide) - Beneficios clave (1slide) - Niveles de MLOps (1 slide) - Auditoria de sistemas (explicar con diagramas y texto como auditar los sistemas puede detectar puntos de mejora en las diferentes etapas del flujo de vida de los proyectos de Machine Learning) (2slides) - Escalabilidad de sistemas (como pasar de un Nivel 0 a un nivel 1 y nivel 2 de Machine Learning operaciones) (2 slides) Si se utiliza inspiración o copia se deberá poner enlace de referencia. Se valorará el diseño de las slides, la redacción y la consistencia del mensaje.
I’m looking for a skilled engineer to create lightweight agents that can gather trace logs and key metrics across my entire stack. Scope • Cloud infrastructure: the agents must seamlessly collect data from AWS, Azure, and Google Cloud. • Containers: coverage is required for Docker, Kubernetes, and OpenShift environments. • AIOps / MLOps focus: the data pipeline has to capture performance metrics, logs and trace information, and resource-utilization figures so downstream analytic models receive complete, high-quality signals. What I need from you 1. Design and build installable agents (or sidecars) that auto-discover resources, stream data securely, and add minimal overhead. 2. Provide configuration options so I can enable or disable specific metric g...
...drawdowns, order/fill logs. * Alerts to email/Telegram/Slack. ## Nice-to-Have (Phase 2) * Options greeks & spreads; portfolio optimizer. * Alternative data (order book depth, options chain, social sentiment). * Strategy marketplace, multi-account orchestration. ## Tech Stack (Suggested) * **ML/Backend:** Python (FastAPI), Pandas/NumPy, scikit-learn, PyTorch/LightGBM, MLflow. * **Pipelines/MLOps:** Airflow/Prefect, Feast (feature store), Redis, Kafka (optional). * **DB/Storage:** PostgreSQL + TimescaleDB; object storage for artifacts. * **Frontend:** React/Next.js. * **Infra:** Docker, CI/CD, IaC (Terraform), AWS/GCP/Azure. ## Deliverables 1. Architecture + data/contracts + broker adapters. 2. **AI Algo Suite** (signals, scalping module, future-mover ranker) with noteb...
...building or consuming REST APIs at scale. - Familiarity with cloud AI tools like AWS Rekognition, Azure Face API, or Google Vision AI. - Understanding of Face Recognition fundamentals (Detection, Verification, Identification). - Comfortable working with Git and standard DevOps practices. Bonus Skills (Nice-to-Haves) - Experience with OpenCV or dlib for custom image processing. - Knowledge of MLOps or monitoring deployed AI systems. - Background in high-security or privacy-sensitive projects. - Understanding of Redis, Memcached, or similar caching systems. Why Work With Us You’ll be joining a tech-driven team working on a next-gen image tagging system powered by AI. We value clean architecture, speed, and privacy-conscious innovation — and you’ll have the fre...
...seasoned professionals preparing for advanced model-deployment interviews, so I need tutors comfortable adjusting depth on the fly. What I’m looking for • Fluency in spoken and written Telugu, plus clear English terminology when the topic demands it. • Solid, real-world experience with AI/ML workflows—think Python, Jupyter, pandas, scikit-learn, TensorFlow/PyTorch, model evaluation, and basic MLOps concepts. • The ability to design concise lesson plans, slides or notebooks, mini-projects, and quick assessments appropriate for beginner, intermediate, and advanced tracks. • A teaching style that blends theory with hands-on coding demos, live debugging, and practical case studies. Typical engagement I’ll share the student’s backgro...
We’re building an Industrial Digital Twin & Generative AI platform that connects real-world operations with intelligent conversational systems. We’re looking for an experienced AI Engineer to design and deploy RAG/CAG-...domain-accurate response generation. • Deploy and optimize conversational AI systems (internal & customer-facing chatbots) on AWS — leveraging SageMaker, ECS, Lambda, Bedrock, and API Gateway. • Integrate AI services seamlessly with existing backend systems and APIs for real-world interoperability. • Ensure scalability, observability, and cost efficiency across deployed AI workloads through best practices in MLOps and monitoring. • Collaborate with data and product teams to define model evaluation metrics, continuous imp...
Job Title: AI/ML Engineer...answering. 5. Familiarity with LangChain, Hugging Face Transformers, OpenAI API, and RAG frameworks. 6. Experience deploying ML models via FastAPI, Flask, or cloud ML services (AWS Sagemaker, GCP Vertex AI, Azure ML). 7. Understanding of vector databases (Pinecone, FAISS, Weaviate, Chroma). 8. Good grasp of data preprocessing, model evaluation, and fine-tuning techniques. 9. Knowledge of DevOps/MLOps pipelines for continuous deployment of models. Preferred Qualifications: 1. Experience with voice cloning, emotion detection, and multilingual models. 2. Knowledge of audio signal processing and related libraries (Librosa, Whisper, DeepSpeech). 3. Familiarity with LLM orchestration and agentic frameworks (LangGraph, LlamaIndex). Apply to 2024 # dasarpita # ...
...evaluation. The scope spans the full stack of an AI product. AI/NLP engineers will experiment with fine-tuning strategies and alignment techniques; language data engineers will own collection, cleaning and augmentation of text and speech corpora; backend and API developers will expose model capabilities securely; mobile and web developers will craft lightweight, accessible clients; and DevOps/MLOps engineers will automate training, versioning and scalable deployment to keep costs predictable. Core deliverables I expect: 1. A pre-trained foundation model with culturally aligned checkpoints and evaluation reports. 2. A multilingual dataset repository with documented provenance and licensing. 3. REST and gRPC APIs serving both text and speech endpoints, protected with OAuth2...
...building a pool of Telugu-speaking technology tutors who can comfortably teach online and take learners all the way from their very first “Hello World” through to advanced, production-grade projects. Right now the priority is Artificial Intelligence, Machine Learning, and Data Science, so you’ll be guiding students through everything from Python basics and Jupyter workflows to model deployment and MLOps best practices. Because our audience spans beginner, intermediate, and advanced levels, I’ll rely on you to tailor each session’s depth—introducing concepts gently for newcomers while still offering rigorous math, hands-on coding, and industry case studies for seasoned professionals. All classes will be delivered live over Zoom or a comparabl...
I’m ready to stand up a fully self-hosted language model that is fast, secure, and production-ready. Your job is to spin up a compact model with vLLM or , wrap it in a clean CUDA/Docker stack, and layer in the essentials—streaming responses, smart caching, guardrails, and real-ti...documentation. I’ll start with a paid test: deploy any quantized 7-13B model, enable streaming, then share an infra diagram and benchmark numbers (latency, memory footprint). Nail that and we’ll move on to caching, guardrails, and deeper evaluation. Show me links to prior self-hosting work and a quick sketch of your proposed setup. If you thrive in low-level inference, CUDA kernels, and containerized MLOps, let’s talk. price to be decided - please propose - fixed (1k to 1....
Looking for a python developer to work along my project team. If you match this requirment, connect with me. Job Title: Backend Engineer About the Role: We’re looking for a Backend / Infrastructure Engineer t...abstractions ● Love building tools that empower other engineers, analysts & scientists ● Have shipped production systems at scale with uptime and performance goals ● Thrive in hybrid roles where backend, infra, and data intersect ● Care deeply about data quality, lineage, and performance Bonus Points: ● Experience with Lakehouse architectures (e.g., Delta Lake, Apache Iceberg) ● Familiarity with MLOps workflows (MLflow, Feature Stores) ● Contributions to open-source projects ● Knowledge of event-driven architectures and CDC (Change Data Capture) patt...
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...product vision. Architect AI-powered features such as predictive analytics, intelligent HR insights, chatbots, anomaly detection, and workflow automation. Design scalable and modular architectures integrating ERP modules, APIs, data pipelines, and microservices. Mentor and upskill a team of AI, ERP, and full-stack engineers to accelerate delivery. Establish best practices for AI model deployment, MLOps, and performance optimization. Collaborate with business stakeholders to translate requirements into technical blueprints. Review architecture diagrams, code, and integration flows for quality and consistency. Evaluate and select AI frameworks, tools, and libraries best suited for ERP context. Guide integration with SAP, AWS, Azure, and other enterprise ecosystems. Ensure ...
...risk metrics such as VaR, drawdown, and Sharpe. Wherever possible, code needs to be modular so future data sources or model variations can slot in with minimal effort. Because the scope centers on the Indian context, corporate actions (splits, bonuses, dividends), F&O calendars, and local market holidays must be handled gracefully. I’m comfortable with Python, TensorFlow or PyTorch, and common MLOps stacks like Docker + CI/CD on AWS or GCP—use whichever combination you feel gets to a reliable, testable solution fastest. Deliverables • Clean, well-documented source code and notebooks • Automated pipelines for data ingestion and retraining • Trained models for both short- and long-term horizons • API / dashboard with prediction & ri...
I need an experienced technical writer to craft an in-depth blog post that dives straight into DevOps from an advanced perspective. The article must go beyond introductory explanations and offer actionable insight on automation tools, proven best practices, and real-world case studies. You’ll weave in your understanding of related domains—CI/CD pipelines, MLOps, AIOps, and security-first thinking—so the narrative shows how modern DevOps intersects with these areas rather than treating them as isolated topics. While DevOps is the main focus, brief yet meaningful references to tools such as Jenkins, GitLab CI, Kubernetes, Terraform, or Ansible will help ground your points. Deliverables • One well-structured, technically accurate blog article (roughly 1,500...
...C/C++, Arduino, Raspberry Pi, MQTT, RTOS IoT Cloud Platforms (AWS IoT, Azure IoT, Google IoT Core) Game Development Unity3D, Unreal Engine, C#, C++ AR/VR, 3D modeling, Metaverse environments AI, ML & Data Science Machine Learning, Deep Learning, Computer Vision Generative AI (LLMs, Transformers, LangChain, RAG) NLP, Speech Recognition, Chatbot Development TensorFlow, PyTorch, OpenAI, Hugging Face MLOps, Feature Stores, Model Deployment Predictive Analytics, Data Mining QA & Testing Manual Testing, Automation (Selenium, Cypress, Playwright) API Testing (Postman, SoapUI), Performance (JMeter, LoadRunner) Mobile App Testing, Security Testing Test Planning, Regression, CI/CD Integration Database Developers SQL (MySQL, PostgreSQL, Oracle, MS SQL Server) NoSQL (MongoDB, Cas...
...natural-language processing, and traditional machine-learning techniques to power a new deep-tech product that will move from prototype to production. I need end-to-end technical leadership that covers strategy, experimentation, and hands-on model delivery. Current status • Early-stage proof-of-concept code bases exist for both vision and text tasks, but they live in silos. • No unified data pipeline, no MLOps layer, and no clear roadmap tying research spikes to shippable features. Scope of work • Audit the existing repos, datasets, and annotation processes, then define a clean, version-controlled baseline. • Design an integrated architecture that supports multi-modal learning (images + text). • Select or fine-tune state-of-the-art models&mdas...
...engaging SCORM-compliant package that can drop straight into an LMS. You will craft the full learning experience—structured modules, multimedia explanations, coding walk-throughs, interactive notebooks, knowledge checks, and a summative capstone project—so that seasoned data professionals feel both challenged and supported. Think expert-level coverage of model optimisation, hyper-parameter tuning, MLOps workflows, and ethical considerations, presented through Articulate 360, Captivate, Rise, or any comparable tool you work best with. What I need from you • A detailed course blueprint with clear learning objectives and assessment strategy • All instructional assets: slides, scripts, demo code, datasets, quizzes, and solution keys • Final packag...
Need a working, end-to-end MLOps example that shows how a classification model is taken from code to a live, consumable service on AWS. The spotlight is firmly on Model deployment, but I still want the repository organised so the other pillars of MLOps (source control, automated testing, CI/CD, reproducible environments, basic monitoring hooks) are visible and ready to be extended. Project outline • Train at least two variants of an SGD-based classifier locally (Sklearn is fine) and version them. • Containerise the chosen model, push the image to ECR, and deploy it behind an AWS service that can expose a REST endpoint (SageMaker, ECS or EKS—use what makes the most sense). • Script all cloud resources with IaC (Terraform or CloudFormation). •...
...connect agents to knowledge graphs. MLOps Core & Deployment • Build CI/CD pipelines for data workflows, LLM retraining, and production rollout. • Manage containerized environments using Docker, Kubernetes, or Kubeflow. • Implement monitoring, alerting, and logging for Gen AI systems in production. Experimentation & Internal Enablement • Lead experiments and PoCs to evaluate new LLM use cases (chatbots, assistants, research agents). • Collaborate with backend, data, and QA teams to scale AI solutions company-wide. • Create reusable AI modules to support operational teams (e.g. Compliance, Finance, Payouts). What You Bring • Bachelor’s degree in Computer Science, AI, Data Engineering, or related field. • 2+ years of experienc...
Project Description: We have a complete technical architecture and application code for a self-improving, dual-loop AI system that autonomously generates and optimizes content. The core AWS infrastructure (VPC, RDS, S3, SQS, Secrets Manager, etc.) is already built with Terraform. We need an expert DevOps/MLOps engineer to complete the production deployment by integrating all components. The goal is to make the entire system live and operational. Key Responsibilities: Integration & Deployment: Deploy the provided Dockerized application services (FastAPI for Drift Detection, Dynamic Routing, Auto-Learn, Approval Gate) onto the existing AWS infrastructure (ECS/EC2). Set up and configure Nginx as a reverse proxy with TLS, rate limiting, and a kill-switch. Integrate and configur...
...scope covers data intake through to model deployment, ensuring that no personally identifiable information slips through any stage of the pipeline. Deliverables • Complete end-to-end data-flow map highlighting risk points • Consent, retention and deletion policies compliant with Indian statutes • Anonymisation / pseudonymisation routines (Python or equivalent) integrated into our existing MLOps setup (Azure + Kubeflow) • Transparent logging and role-based access-control matrix ready for audit • Developer guidelines and a compliance checklist verifiable by an internal privacy impact assessment Acceptance criteria: the framework must pass our internal PIA, and a test model trained under it must demonstrate zero exposure of personal identifiers. ...
My automated MLOps pipeline stalls whenever it reaches the model-evaluation stage. The training completes, but as soon as validation kicks in I hit runtime errors that cancel the run. I’d like a fresh set of eyes to trace the problem, patch it, and leave the evaluation step rock-solid. Scope • Inspect the evaluation component of the existing pipeline, reproduce the runtime failures, and pinpoint their root cause. • Implement code or configuration changes that eliminate those errors without disturbing upstream preprocessing or training stages. • Rerun the full pipeline to confirm the model-validation step executes cleanly and produces the expected metrics. • Hand back a short change log or pull-request summary so I can see precisely what was modifie...
...LlamaIndex. - Knowledge of vector databases (Pinecone, Weaviate, Milvus, pgvector). - Experience with RAG architectures (chunking, embeddings, reranking). - Familiarity with information retrieval (BM25, hybrid search, cross-encoders). - Deployment of LLMs (OpenAI/Anthropic APIs or open-source Llama/Mistral). - Understanding of OCR/NLP preprocessing (Tesseract, SpaCy, FastText).- - Good grasp of MLOps: Docker, API deployment, model serving (vLLM/TGI). Preferred (Nice-to-Have) - Prior work in legal tech, fintech, or compliance automation. - Knowledge of Indian legal/tax datasets (Indian Kanoon, MCA21, CBDT/CBIC). - Experience with multi-lingual NLP (Indic languages). - Familiarity with knowledge graphs (Neo4j, RDF, SPARQL). - Experience with evaluation frameworks (Ragas, DeepEval...
...LlamaIndex. - Knowledge of vector databases (Pinecone, Weaviate, Milvus, pgvector). - Experience with RAG architectures (chunking, embeddings, reranking). - Familiarity with information retrieval (BM25, hybrid search, cross-encoders). - Deployment of LLMs (OpenAI/Anthropic APIs or open-source Llama/Mistral). - Understanding of OCR/NLP preprocessing (Tesseract, SpaCy, FastText).- - Good grasp of MLOps: Docker, API deployment, model serving (vLLM/TGI). Preferred (Nice-to-Have) - Prior work in legal tech, fintech, or compliance automation. - Knowledge of Indian legal/tax datasets (Indian Kanoon, MCA21, CBDT/CBIC). - Experience with multi-lingual NLP (Indic languages). - Familiarity with knowledge graphs (Neo4j, RDF, SPARQL). - Experience with evaluation frameworks (Ragas, DeepEval...
Experience ...problem-solving skills and an analytical mindset. • Experience in working with REST APIs, Webhooks, and asynchronous workflows. • Exposure to version control systems like Git and collaborative tools like Jira, Confluence, etc. Good to Have • Experience working in startup or product-first environments. • Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack. • Understanding of MLOps and deployment of ML models in production. Engagement Model • Type: Contractual • Trial Period: 1 week (paid trial to assess fit, code quality, and collaboration skills) • Duration: 3 months • Extension: Possible based on performance, commitment, and project pipeline • Work Hours: Flexible, with overlap during core team h...
...per E-Mail, Generierung von Garantie-/Rückerstattungsentscheidungen, Eskalationslogging. MLOps/Deployment: einfache Pipeline für Modelle, Monitoring, Logging, Rollbacks. Kanäle & Tools: Anbindungen an gängige Social-Media-Plattformen, APIs, Zapier/Integromat/Make oder ähnliche Automatisierungstools. Sicherheit & Compliance: DSFA/DSGVO-Konformität, Zugriffskontrollen, Audit-Trails. Dokumentation: Architekturdiagramm, API-Spezifikationen, Betriebshandbuch, Schulungsmaterialien. Deliverables: Architekturentwurf, konfiguriertes MVP-Setup, Integrationen, MVP-Demo, Deployment-Anleitung, Support/Übergabe. Anforderungen: Mindestens 3 ähnliche Projekte im Bereich KI-gestützte Support-/Garantieprozesse oder MLOps-Pipelines; nachw...
We are looking for a freelance Data Engineer with strong MLOps skills to help us scale and productionize our AI voice infrastructure. Context Novaia is building a real-time AI platform for callbots, speech-to-text, text-to-speech, and NLP with massive scalability requirements (multi-server clusters, GPU inference, Kubernetes). We already have performant models and need to optimize and deploy them efficiently. Responsibilities Build and maintain robust data pipelines (ETL, audio/text preprocessing). Implement a complete MLOps workflow: training → CI/CD → monitoring → deployment. Optimize inference of NLP/STT/TTS models on GPUs (target latency under 300 ms). Industrialize workflows from data scientists and manage containerized environments (Docker, Kuberne...
...experienced WordPress developer to replicate it pixel-perfect, make it responsive for desktop & mobile, and deliver within 1 day. Pages / Sections: 1. Home page (single scroll) Hero section (example screenshot): About Features Research section (example screenshot): Call-to-Action (CTA) Footer 2. Careers page (separate page) Example screenshot: 3 roles listed: Research Scientist MLOps Engineer Senior Software Engineer (Infra/Backend) Each “Apply” button opens a different Google Form (links provided). Functionality Requirements: Smooth scroll navigation from menu to homepage sections. “Careers” link in header opens the Careers page. “Apply” buttons link to distinct Google Forms (open in new tab). Background color #FAF9F...
...strukturierte Klassifizierung von Fehlern vorhanden (nur Freitext in E-Mails) Keine externen APIs erlaubt → rein lokale Verarbeitung (On-Premise Server) Anforderungen: Erfahrung mit Computer Vision (z. B. YOLO, CNN) Erfahrung mit NLP/Textgenerierung auf Deutsch (z. B. GPT, T5, LLaMA, Mistral, RAG) Fähigkeit, Open-Source-Modelle lokal zu betreiben (z. B. via Docker) Idealerweise: Verständnis von MLOps oder Erfahrung im industriellen Kontext Sehr gute Deutschkenntnisse (Verstehen & Generieren) Ziel: Ein Prototyp oder Proof of Concept mit folgenden Komponenten: Bildanalyse-Modul zur Erkennung und Klassifizierung von Fehlern Modul zur automatisierten Generierung von E-Mail-Vorschlägen (auf Deutsch) Vergleich ähnlicher Fälle aus der Vergange...
...embeddings, etc.). - Comfortable working in client-facing roles and turning needs into ML solutions. - Excellent communication and collaboration skills. Bonus Points - Degree in Computer Science, Data Science, or related fields. - AWS certifications. - Knowledge of Reinforcement Learning or Computer Vision (CNNs, GANs). - Experience in consulting or B2B environments. - Familiarity with DevOps or MLOps....
I'm building a Generative AI and LLM project and need an experienced expert. Integration of AI with existing systems is a key focus area. My background is in ML, MLOps, DevOps, and cloud computing, so I can offer support in those areas if needed. Key Requirements: - Integrate AI with current systems using LLM - Focus on NLP for text analysis and summarization - Guidance on project completion Ideal Skills: - Expertise in AI, particularly NLP - Strong integration skills - Experience in optimizing AI systems - Background in ML and cloud technologies Looking forward to your insights and expertise to bring this project to life!
I'm looking for pure-play AI COMPANIES, NOT individual contributors or generalist software development or IT services firms. I need expertise in the following areas: - Natural Language Processing (NLP) - Computer Vision - Predictive Analytics - Deep Learning Model Development - MLOps Implementation - AI Consultation - Data Science - Machine Learning Algorithms - Generative AI - AI Ethics Ideal candidates would have a company: - Proven experience in dedicated AI projects - Strong portfolios showcasing domain-specific expertise - Ability to provide comprehensive AI consultation and support Please provide samples of previous work and relevant case studies.
...Responsibilities & Contribution: • Advanced MLOps Consulting & Implementation: Design, build, and optimize automated ML pipelines (data to deployment, monitoring, and maintenance) for our clients. • Scalability & Security: Ensure robust, scalable, and secure ML system deployments in cloud environments. • Responsible AI Specialization: Implement solutions for bias detection/mitigation and Explainable AI (XAI) for production models. • Content Input for Marketing: Provide valuable input for our LinkedIn company page and website content, including detailed case studies about your past work in Advanced MLOps Consulting & Implementation, preferably for SaaS and Tech startups. • Client Collaboration: Work closely with clients, transla...
Explainable AI for measuring the MLOps performance using whitebox techniques. dataset
...Strong expertise in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) - Proven experience with AWS services relevant to ML (SageMaker, Lambda, S3, etc.) - Experience with CI/CD for ML projects, containerization (Docker), and version control (Git) - Ability to work independently and deliver high-quality work in a remote, freelance setting Preferred Skills: - Familiarity with MLOps practices and tools - Experience with data engineering tools and pipelines (e.g., AWS Bedrock, Lambda, S3, Textract, EC2) - Solid understanding of data privacy, model fairness, and performance monitoring Project Details: Work Type - Remote Duration: 1 month (might extend by 2 weeks) Time commitment: Full Time/ Flexible Hours Start Date: Immediate How to Apply: - Please su...
I'm looking for an experienced professional to assist with a hands-on project involving Azure Databricks, MLflow, RAGs and MLOps. Key Responsibilities: - Set up CI/CD pipelines. - Data processing and ETL with PySpark. - Develop and train machine learning models. Ideal Skills and Experience: - Proficiency in Azure Databricks and MLflow. - Strong background in MLOps and CI/CD pipelines. - Expertise in PySpark. - Familiarity with TensorFlow, PyTorch, or Scikit-learn. Please include your relevant experience and approach in your bids.
I'm ...workloads, scalability, and performance. • Excellent leadership and communication skills, with a proven ability to mentor engineers and work closely with cross-functional stakeholders. • Self-starter who excels at execution, balancing short-term technical delivery with long-term scalability and efficiency goals. Bonus points for — • Experience with AI/ML infrastructure tools like MLFlow, Kubeflow, or MLOps best practices. • Experience with real-time data processing & streaming technologies (Apache Kafka, Flink, Spark). • Familiarity with NLP frameworks (e.g., Hugging Face, spaCy) • Open-source contributions, side projects, or thought leadership through technical content (blogs, videos). • Knowledge of data privacy and securit...
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I'm seeking an expert in MLOps with a strong focus on model deployment. The ideal candidate for this project should have experience in deploying machine learning models, particularly with Natural Language Processing (NLP) and Natural Language Generation (NLG). Skills and Experience Required: - Extensive knowledge and experience in MLOps, specifically in model deployment. - Proficient in NLP and NLG. - Familiarity with monitoring and logging processes post-deployment. - Experience in working with CI/CD pipelines (even though this project doesn't specifically focus on CI/CD, an understanding of it is beneficial). - Knowledge in automating deployment processes and ensuring seamless model updates.
Technology Expert (Specialist Role) Nature of the Tasks: • ✓ Assess emerging technologies (AI, blockchain, MLops, etc.). ✓ Design, develop, and deploy scalable tech solutions. ✓ Provide technical guidance in projects (architecture, risks, best practices). ✓ Collaborate with cross-functional teams on requirements. ✓ Troubleshoot complex technical issues. ✓ Ensure compliance with security standards (GDPR, EUDPR). ✓ Promote knowledge sharing. Education: • ✓ Post-secondary education (minimum 2 years). Knowledge and Experience: • ✓ Very good understanding of OS, networking, databases, cloud, and software development. ✓ Very good knowledge of emerging tech (Denodo, ChatBot, AI, blockchain). ✓ Very good IT security principles (encryption, access controls, cybersecurity). ✓ V...
...sensor data for the purpose of this real-time monitoring. Technology Stack • OpenEMS (Java-based) • MLFlow, TensorFlow, PyTorch (Python-based) • MQTT / OPC-UA / Modbus-TCP • Docker / Kubernetes optional for deployment • Node-RED or openHAB dashboards Profile of Ideal Freelancer / Team • Experience with industrial IoT systems and control • Past deployment of OpenEMS or SCADA interfaces • MLFlow or MLOps experience (model training, serving, tracking) • Understanding of renewable energy, hydrogen electrolysis, or chemical processes • Ability to work remotely, communicate clearly, and deliver on milestones • Proven experience in AI and machine learning, particularly in the context of operational management in industrial setting...
...admin panel credentials, server controls, and backend access should remain with me exclusively. --- About the Company: Our company specializes in AI solutions, including: ✅ Large Language Models (LLMs) like GPT-4, Gemini, Qwen, and DeepSeek. ✅ AI-driven image and video editing solutions using cutting-edge models and high-end GPUs. ✅ Custom AI model development and API integrations. ✅ Advanced MLOps strategies ensuring scalable, secure, and efficient AI deployments. ✅ Expertise in tools like Docker, Kubernetes, and GPU cloud hosting on AWS, GCP, and Azure. Important: The website must be designed with a highly professional look that aligns with AI-focused branding. Everything — from hosting to content control — must be under my direct control. If you're conf...
should be having 5 yrs of exp , what to know everything how ml pipeline is created starting from data cleaning to depolyment and improvement when the model degraded with time , needed every clarity will be asking depth , should be giving clear picture tools used, metrics and performance everything
As an AI architect, your primary role will involve designing and deploying AI-driven solutions, particularly in the realm of computer vision applications, to meet our business goals. Your dee...objectives. - Utilize your expertise in TensorFlow to architect robust AI platforms. - Deploy computer vision applications tailored to our operational needs. - Oversee the successful adoption of these AI technologies within our organization. Ideal Skills: - Extensive experience with TensorFlow and architecting AI platforms. - Strong background in influencing AI strategy. - In-depth knowledge of MLOps methodologies and model deployment strategies. - Experience working in the banking domain. - Excellent coordination skills with business teams to understand requirements and formulate technical ...
We are looking for a highly skilled freelance developer with expertise in real-time data proc...optimization for real-time data. ✅ Proficiency in Docker, Kubernetes, and cloud computing (AWS, GCP, or Azure). ✅ Ability to design and set up virtual machines and deploy scalable applications. ✅ Familiarity with APIs and microservices architecture. ✅ Strong analytical mindset and experience in AI-driven decision-making systems. Nice to Have ➕ Experience with Feature Stores like Feast. ➕ Knowledge of MLOps and CI/CD for ML models. ➕ Background in predictive analytics, recommendation engines, or anomaly detection. Project Duration & Commitment ? Ongoing freelance project with potential for long-term collaboration. ? Flexible working hours, but must ensure timely updates and progress.
