科技職缺
職缺列表
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.
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.
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.
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.
AI Engineer
AI Engineer in Bangalore designing, developing, and deploying machine learning and deep learning models with PyTorch and TensorFlow, collaborating with cross-functional teams to integrate AI solutions into products.
python developer
Python Developer building scalable Flask/Django applications that integrate TensorFlow or PyTorch ML models, with CI/CD pipelines, Docker/Kubernetes orchestration, and GraphQL APIs. Short-term contract based remotely or onsite in Pune, India.
Generative AI and Machine Learning Developer
Intermediate analyst on Citi's TTS Analytics team building and shipping production-grade Generative AI and deep learning solutions—including LLMs, RAG, prompt engineering, and fine-tuning—to solve client-experience and revenue problems using big-data tools in financial services.
Generative AI and Machine Learning Developer
Design, build, and ship production-grade Generative AI and deep learning applications for Citi's TTS Analytics team, owning end-to-end delivery of LLM-powered products with RAG, fine-tuning, evaluation guardrails, and MLOps pipelines using Python, PyTorch/TensorFlow, and the Hugging Face ecosystem.
AI / ML Engineer
AI/ML Engineer at healthcare company Solventum, designing and deploying machine learning and generative AI solutions (LLMs, RAG, agentic systems) end-to-end using Python, PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry.
Lead NLP / ML Researcher (LLM Evaluation & Agentic Systems)
Lead NLP/ML researcher role at Irisai working remotely on LLM evaluation and agentic systems. The person leads research on model interpretability, RAG evaluation, benchmarking, and uncertainty methods, publishes papers, co-authors grants, and translates research into production prototypes.
AI Engineer
Build production-ready GenAI solutions and multi-agent AI workflows as an AI Engineer, developing Python backends, React frontends, RAG pipelines, and integrating with Azure services. Responsibilities span MLOps/LLMOps, observability, governance, and performance optimization.
Data Scientist
Analyze retail pricing data and build/maintain ML models for time series demand forecasting and pricing optimization at an AI-driven retail pricing platform. Collaborate with engineers, product managers, and domain experts to design, validate, and productionize forecasting and machine learning solutions end-to-end.
Audio ML Engineer (Research)
Research engineer building audio ML perception models, applying model optimization, compression, and acceleration techniques for embedded and cloud deployment, with a focus on personalization and adaptation strategies.