Senior ML & AI Engineer

SPD Technology

. Design, develop, and fine-tune generative AI models using transformer architectures .

Posted 11/11/2026full-timeRemote • Ukraine, Poland, Romania, Spain, Portugal, CroatiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing generative AI models using transformer architectures, with proficiency in Python and machine learning frameworks. Capable of processing large volumes of unstructured data and collaborating effectively with cross-functional teams to deliver production-grade ML systems.

Highest-signal resume keywords

Generative AI Model DevelopmentTransformer ArchitecturesPython ProficiencyNatural Language ProcessingMachine Learning Lifecycle

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AI TechniquesStatistical ModelingData AnalysisSQLEmbeddingsTransformer-Based ModelsHybrid ModelsData PreprocessingTraining and EvaluationReal-Time Data Processing

Soft Skills

MentoringCollaborationEffective Communication

Tools & Technologies

LangChainLangGraphLangSmithPyTorchScikit-LearnSpacyAgile MethodologiesVector Databases

Industry Keywords

Machine LearningFinancial ServicesInvestment BankingVenture CapitalPrivate Equity

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and fine-tune generative AI models using transformer architectures
Implement advanced generative AI techniques for real-world challenges
Use LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents
Integrate AI toolkits with vector databases for similarity search and real-time analysis
Process and analyze large volumes of unstructured data using embeddings and statistical modeling
Identify meaningful insights from data
Collaborate with cross-functional teams to create production-grade ML systems for real-time, high-volume data processing
Mentor junior team members
Stay updated on Agentic AI, transformer models, and generative systems
Collaborate with Product and Engineering teams to improve data management and support innovation
Present complex analyses clearly and effectively
Build NLP pipelines with PyTorch, Scikit-Learn, and Spacy
Develop hybrid models to extract insights from diverse data sources
Work within a Scrum-based Agile team and attend all team meetings

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field
5+ years of production experience in the ML field
Track record developing transformer-based models and deploying them in scalable systems
Proficiency in Python
Proficiency in machine and deep learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Spacy, or equivalent
Experience with natural language processing and modern LLM-based techniques
Experience with the full ML lifecycle, including data preprocessing, training, evaluation, and monitoring
Skilled with SQL and data extraction methods
English at Upper-Intermediate level or higher
Fluent/native Ukrainian
Financial services, investment banking, venture capital, or private equity exposure is nice to have

Benefits

Comp & perks

Flexible work schedule
Fully remote work
Stable workload and stable income
Provided laptops and licensed software
Performance and merit reviews
Personal development plans
Individual learning through the corporate library
Public speaking support
Company-wide tech and cultural events
CSR initiatives
HR support
Referral bonus program