598jobs Showing 571–598 on this page
2026-06-29 04:13:39.000000
hybrid
Sourced
What You Will Need - 4 – 6 years of relevant experience in applied data science or machine learning roles. - Proficiency in Python , and familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. - Solid understanding of ML fundamentals including supervised learning, ranking, embeddings, and evaluation metrics. - Hands-on experience in recommender systems, personalization, search, or ranking models is strongly preferred. - Experience working with large-scale datasets using plat
4-6 Years
GoTo Grou...
2026-05-08 03:57:26.000000
hybrid
Sourced
What you will need? - 3+ years of experience in deep learning, particularly with computer vision, voice, and text processing. - Proficient in data preprocessing, model training, evaluation, and optimisation. - Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments. - Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN. - Experience wi
3+ Years
GoTo Grou...
2024-09-09 07:21:38.000000
hybrid
Sourced
What you will need? - 3+ years of experience in deep learning, particularly with computer vision, voice, and text processing. - Proficient in data preprocessing, model training, evaluation, and optimisation. - Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments. - Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN. - Experience wi
3+ Years
GoTo Grou...
2026-04-24 08:47:29.000000
hybrid
Sourced
What You Will Need - 7+ years of experience in deep learning, nlp, computer vision, voice. - Proficient in data preprocessing, model training, evaluation, and optimisation. - Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments. - Proficient with Python and deep learning frameworks such as PyTorch or Tensorflow. - Experience with cloud platforms like Alicloud, GCP or AWS. - Strong communication skill
7+ Years
GoTo Grou...
2025-12-02 01:21:27.000000
hybrid
Sourced
Required Skills - 2–4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure) - Strong proficiency in Python and SQL - Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent) - Experience with pipeline orchestration tools (Airflow, Dagster, Prefect, etc.) - Understanding of event-driven systems or streaming platforms (Kafka, Kinesis, Pub/Sub) - Solid foundation in data modeling, testing, and version control - Abili
2-4 Years
Gridware
2026-07-09 17:18:58.000000
hybrid
Sourced
Required Skills - 3+ years of direct management experience - 8+ years of experience building and deploying machine learning models in production environments - Experience with both deep learning and classical machine/statistical learning techniques - Strong programming skills with demonstrated proficiency in Python - Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows Bonus Skills - Experience working with signal processing or sensor
3+ Years
Gridware
2026-06-12 01:56:10.000000
hybrid
Sourced
Requirements: - Strong quantitative background in statistics, math, ML, economics, or a related field - Experience building models in trading, sports, betting, prediction markets, or similar domains - Strong Python/data skills and comfort owning data pipelines as well as modeling - Ability to move quickly from raw data to research insight to production-ready mode - High ownership, strong communication skills and comfortable with fast-paced high growth environment
General
Crypto.co...
2026-06-05 14:56:10.000000
remote
Sourced
Requirements - 5+ years of relevant working experience in quantitative research, risk management, trading, or a related field. Exposure to daily risk operations is expected alongside the modelling work; regulator-facing experience is welcome but not required. - Master or PhD in a quantitative discipline (e.g., math, physics, statistics, engineering, computer science, financial engineering, quantitative finance, etc.). - Proficient in Python and SQL or noSQL data structures, data models, and data
5+ years of relevant working experience in quantitati
Crypto.co...
Principal Applied AI Developer, Foundation Models Infrastructure 
