科技職缺
職缺列表
Middle/Senior Data Scientist
Data Scientist at a leading Ukrainian financial institution building end-to-end ML and deep learning solutions on large-scale datasets using Python, SQL, Docker, FastAPI, and AWS/GCP. Owns models from research and experimentation through to production deployment.
AI Engineer - FDE (Forward Deployed Engineer)
Headquarters: Remote - United Kingdom AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: United Kingdom - Remote (must be based in the UK for this role) Mission The AI Forward Deployed…
AI Engineer - FDE (Forward Deployed Engineer)
Headquarters: Remote - India CSQ326R35 AI Engineer - FDE (Forward Deployed Engineer) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver…
Ai Engineer
As a freelance AI Engineer at Expertshub.ai, you will define AI strategy, architect scalable AI systems, and modernize services using ML, deep learning, NLP, and computer vision while working fully remote with agile teams.
Lead AI/ML Engineer (GenAI & Architecture)
Lead the design and architecture of advanced AI/ML systems including GenAI, collaborating with data scientists and engineers to deploy ML models in production. Core stack spans Python, TensorFlow, Scikit-learn, and AWS, with deep learning and cloud deployment focus.
AI Architect
Remote freelance AI Architect shaping engineering architecture for high-scale systems, mentoring cross-functional teams, and driving AI/ML adoption using Python, AWS, Azure, Django, Docker, microservices, and MLOps.
ML Engineer
Senior ML Engineer shaping org-wide machine-learning strategy and architecture for mission-critical systems serving millions of users. Day-to-day work spans technical leadership, deep-learning model design and deployment (Python, TensorFlow, scikit-learn) on AWS, mentoring teams, and partnering with C-level leadership on roadmaps.
Machine Learning Engineer
A remote Machine Learning Engineer designs and implements ML models, collaborates with data scientists and engineers to integrate algorithms into products, and experiments to improve model performance. Core stack includes Python, TensorFlow, Scikit-learn, deep learning, NLP, and AWS.
Data Scientist
Data Scientist with 4-6 years of IT experience based in Pune, working on complex datasets to build predictive models and LLM-driven AI solutions for retail and quick commerce clients, while mentoring junior team members.
AI/ML Engineer
Build and deploy intelligent AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks. Responsibilities include developing ML pipelines, RAG/agentic AI systems, vector search with FAISS, Streamlit apps, and real-time streaming data integrations.
Ai/ml Engineer
Onsite AI/ML Engineer building scalable computer vision and machine learning solutions for the ExpertsHub project, including object detection and image segmentation models using Python, TensorFlow, and PyTorch.
Data Engineer
Data Engineer building and maintaining scalable data pipelines that support AI/ML model training, including ETL workflows, data preprocessing, and feature engineering. Collaborates with AI Researchers on dataset preparation and validation using Python, SQL, Airflow, TensorFlow, PyTorch, and related ML frameworks.
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.
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/ML Intern
Onsite AI/ML internship in Pune, India building and fine-tuning LLMs and NLP/CV models with Python, PyTorch, Hugging Face, and supporting REST API deployment.
AI/ML Engineer
Designs and implements ML models for NLP and computer vision using Python, PyTorch, Keras, Hugging Face, and related AI frameworks. Develops RESTful APIs for model deployment and collaborates with cross-functional teams on model training, fine-tuning, and optimization.
AI/ML Intern
An AI/ML internship building and fine-tuning generative AI models (LLMs, NLP, computer vision) using Python, PyTorch, and Hugging Face, with deployment via REST APIs.