- Strong proficiency in Python, PyTorch or TensorFlow.
- Hands‑on experience in NLP, ML, time‑series forecasting, and computer vision.
- Solid understanding of financial markets, macroeconomic indicators, and technical analysis.
- Experience building end‑to‑end ML pipelines and deploying models to production.
- Familiarity with MLOps tools (MLflow, W&B), Docker, FastAPI, and cloud environments.
- Background in fintech, algorithmic trading, or financial analytics.
- Experience with LLMs, embeddings, RAG pipelines, and transformer architectures.
- Knowledge of backtesting frameworks (Backtrader, Zipline, or custom engines).
- Experience with distributed computing (Spark, Ray).
- Develop linear and data‑driven forecasting models for macroeconomic indicators (GDP, CPI, employment).
- Build predictive models for on‑chain metrics, DVOL, volatility indices, and other market signals.
- Design data‑settled forecasting instruments for expectation‑based trading.
- Collaborate with product and engineering teams to integrate models into production systems.
- Create rule‑based and ML‑driven technical indicators for short‑ and mid‑term trading strategies.
- Build ML models for pattern recognition, volatility regime detection, and microstructure analysis.
- Conduct backtesting, feature engineering, and model optimization.
- Work closely with traders and analysts to convert signals into actionable insights.
- Develop financial NLP models (FinBERT‑style, transformer‑based, LLM‑based) for real‑time sentiment scoring.
- Build systems to evaluate market impact of news, economic releases, and social media signals.
- Design pipelines for ingestion, cleaning, ranking, and scoring of text‑based financial data.
- Integrate sentiment signals into trading and forecasting models.
- Apply computer vision techniques to analyze candlestick charts, indicators, and visual market patterns.
- Build CNN/ViT‑based models to detect technical patterns (breakouts, divergences, head & shoulders, etc.).
- Convert chart images into structured features for ML and quant models.
- Work with data engineering teams to generate and maintain chart‑based datasets.
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AI/ML Engineer - Dubai, United Arab Emirates - Hiring Talent Globally
2 weeks ago
Description
Requirements:
Responsibilities:
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AI/ML Engineer
Only for registered members Dubai
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AI/ML Engineer
Only for registered members Dubai
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AI/ML Engineer
Only for registered members Dubai, Dubai
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AI/ML Engineer
Only for registered members Dubai, Dubai
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AI/ML and Agentic AI Engineer
Only for registered members Dubai
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AI/ML Software Engineer
Only for registered members Dubai, Dubai
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AI/ML Engineer, Deployed
Only for registered members Dubai, Dubai
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Senior AI/ML Engineer
Only for registered members Dubai
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AI ML Engineer With Experience In Finance
Only for registered members Dubai, Dubai
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AI/ML Specialist
Only for registered members Dubai, Dubai
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AI/ML Engineer
Only for registered members Sharjah
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AI/ML Engineer
Only for registered members Sharjah
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AI/ML Engineer
Only for registered members Sharjah
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AI/ML Data Scientist
Only for registered members Dubai
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AI/ML Engineer
Only for registered members Sharjah, Sharjah Emirate
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Business Analyst-AI/ML
Only for registered members Dubai
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AI ML Engineer
Full time Only for registered members Dubai
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AI/ML Engineer
Only for registered members Sharjah Emirate
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AI/ML Engineer
Only for registered members Dubai
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AI/ML Engineer
Only for registered members Dubai