Senior Data & AI Scientist

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🔥 1 minute ago

🌐 Georgia, Poland – Remote

🇬🇪 Georgia – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 10%

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• Just posted.
• Jobs at this company usually fill in 35 days.
• No salary listed.

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SD Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

SD Solutions is a company that specializes in providing a variety of staffing and outsourcing solutions aimed at driving IT-driven businesses towards growth. The company offers services such as Staff Augmentation, Recruitment Process Outsourcing (RPO), Business Process Outsourcing (BPO), and Employer of Record (EoR), which allow businesses to hire globally without the need to establish a legal entity abroad. SD Solutions focuses on empowering businesses with comprehensive services tailored for global expansion and offers strategic guidance and consulting. They provide dedicated engineering, data science, and DevOps teams to ensure seamless technological evolution. With significant experience and a strong track record, SD Solutions helps businesses scale and transform dynamically.

📋 Description

• Train, fine-tune, and evaluate transformer-based sequence models for behavioral prediction on large-scale trading data • Design feature representations and embedding strategies for structured, event-sequence behavioral signals • Model full multi-horizon behavioral distributions, including activity, volume, PnL, exposure, and hold time, rather than single-point or label predictions • Build and beat a rigorous baseline ladder • Design leakage-safe, chronologically split evaluations that substantiate improvement claims • Optimize large-scale GPU training pipelines on Vertex AI, including throughput, memory, dataloading, checkpoint/resume, and cost • Own the full modeling lifecycle across data, representation learning, training, large-scale experimentation, and rigorous evaluation • Collaborate with psychologists, bioinformaticians, AI engineers, and researchers to translate theory into production-grade AI systems

🎯 Requirements

• 6+ years of experience in Data Science, Machine Learning, or AI • Hands-on experience training deep sequence models (Transformers/attention) and/or fine-tuning foundation models • Strong experience with PyTorch and modern deep learning workflows; Lightning is a plus • Experience with distributional and representation learning, modeling latent structure and full distributions rather than only labels • Experience designing, running, and analyzing large-scale ML experiments • Demonstrated ownership of the complete modeling lifecycle, from data preparation through training, evaluation, and iteration • Expert-level Python • Strong understanding of deep learning, representation learning, and statistical modeling • Experience with high-dimensional and event-sequence/temporal datasets • Ability to design rigorous evaluation methodologies, including chronological/held-out splits, leakage control, purge gaps, and honest baseline comparison • Comfort with cloud GPU training and real-world failure modes, including throughput bottlenecks, OOM, dataloader/prefetch, checkpoint/resume, and cost control • Zero-inflated, heavy-tailed, or hurdle modeling and calibration for sparse targets is advantageous • World-model or model-based/latent-transition (JEPA-style) modeling is advantageous • Experience with financial, trading, or high-frequency behavioral data is advantageous • Background in behavioral science, psychology, economics, or cognitive modeling is advantageous • Experience with distributed GPU training, including FSDP, DeepSpeed, Accelerate, or DDP, is advantageous • Experience with LoRA, QLoRA, PEFT, RLHF, or other foundation-model adaptation techniques is advantageous • Publications or open-source contributions related to sequence models or foundation models are advantageous

🏖️ Benefits

• Benefits offered by SD Solutions staffing company; specific benefits are not detailed in the posting

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