科技職缺
職缺列表
Applied AI Scientist
Applied AI Scientist designing, developing, and deploying machine learning models and NLP solutions in cloud environments using Python, TensorFlow or PyTorch, and Docker for feature engineering and data preprocessing.
Machine Learning Engineer
Hybrid ML Engineer in Alpine County, CA, designing CNN/RNN/LSTM architectures and building MLOps pipelines with distributed training on Kubernetes and Spark. Hourly 6-month contract, up to $50/hr.
Consultant – AI, LLM/SLM & Scalable ML Systems
Remote AI Consultant guiding a team to build and deploy scalable ML/LLM/SLM applications end-to-end, covering model training (RoPE, MoE, RLHF, vLLM), RAG pipelines, custom agents, multimodal AI, and production MLOps on Kubernetes/GPU clusters.
Ui/ux Developer
Onsite UI/UX Developer in Pune designing wireframes, prototypes, and style guides in Adobe XD to deliver responsive, intuitive user experiences across digital products.
Machine Learning Engineer
Junior Machine Learning Engineer writing Python code with scikit-learn, TensorFlow, Pandas, and SQL to preprocess data, build models, and evaluate them. Hybrid role based in Pune, India, on a short-term freelance engagement supporting cross-functional teams.
Ai Research Engineer
Entry-level freelance AI Research Engineer role owning end-to-end feature development on a Procure to Pay project. Day-to-day work spans writing scalable code, ML model development and deployment, code reviews, mentoring, and cross-functional collaboration with PM/design/QA.
Senior Implementation Engineer
Title: Senior Implementation Engineer Industry: Information Technology | Work Mode: Onsite | Location: Washington, D.C., USA Role Summary Embark on a rewarding career in the Information Technology industry as a Senior…
Applied AI Forward Deployed Engineer
Remote Applied AI Forward Deployed Engineer who builds production-grade apps and infrastructure with TypeScript, PySpark, React, and Python while deploying customer implementations on Palantir Foundry and AIP, including data integration workflows, Ontology models, APIs, and applied AI pipelines.
Forward Deployed Engineer
Forward Deployed Engineer implementing Palantir Foundry & AIP solutions for clients—driving data integration, ontology design, OSDK, and platform governance using Python, TypeScript, React, PySpark, and cloud/data tooling.
Java Developer
Freelance remote Java Developer building scalable backend systems and microservices, with responsibilities spanning end-to-end feature development, code reviews, and performance optimization, leveraging Java, Spring Boot, Microservices, and REST APIs.
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
AI Solution Architect
Designs and implements scalable AI solutions, leads architecture decisions, mentors junior team members, and partners cross-functionally with product and business stakeholders. Core tech: Python, PyTorch, TensorFlow, AWS Bedrock, SageMaker, Azure OpenAI, Vertex AI, LLM orchestration, RAG, and vector databases.
Product Manager – AI
Freelance onsite Product Manager – AI in Delhi leading AI-driven product initiatives end-to-end, partnering with engineering, design, and marketing on strategy, roadmaps, and agile delivery across generative AI, LLMs, and MLOps.
AI Quality Assurance Engineer
Onsite AI Quality Assurance Engineer in Delhi building and executing test plans, automated frameworks, and regression/load/API suites to validate AI-driven software products, collaborating with cross-functional teams to improve product reliability.
Business Analyst
Business Analyst who gathers stakeholder requirements, documents business cases, process maps, and user stories, analyzes data, recommends process improvements, and supports UAT. Core tools include SQL, Advanced Excel, Power BI, Tableau, Confluence, JIRA, Agile/Scrum, and Oracle and SAP platforms.
MLOps Lead
Lead MLOps strategy and architecture at Expertshub.ai in Delhi, building scalable AI production systems, defining multi-year technical roadmaps, and mentoring engineering teams while partnering with C-level executives on enterprise ML deployments.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Applied Ai Engineer
Applied AI Engineer role focused on developing and deploying advanced AI solutions (LLMs, computer vision, GANs) end-to-end. Day-to-day work involves Python/TensorFlow model development, NLP, data analysis, and collaboration with product managers onsite in Los Angeles.