Middle ML & AI Engineer
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SPD TechnologyInvestment Professionals
Ukraine. Poland. Spain. Portugal. Romania. CzechiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLMachine LearningPyTorchTensorflowDeep Learningscikit-learnNLPGenerative AILangChain
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field
- 4+ years of production experience in the ML field
- Track record in developing transformer-based models
- Track record in deploying transformer-based models in scalable systems
- Proficient in Python
- Proficient in machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others
- Experienced in natural language processing
- Experienced in modern LLM-based techniques
- Experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques
- Skilled with SQL and data extraction methods
Responsibilities
- Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures.
- Implement advanced techniques to create practical solutions for real-world challenges.
- Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents.
- Integrate these tools with vector databases for efficient similarity search and real-time analysis.
- Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
- Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
- Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
- Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation.
- Present complex analyses clearly and effectively.
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