Machine Learning Engineer (Deep Learning, NLP, LLMs)

ProTalent Recruiters; Alcoy; A distancia; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A recruitment agency is seeking a highly skilled Machine Learning Engineer specializing in Deep Learning and Natural Language Processing (NLP). This remote position involves designing and deploying ML models, ensuring scalability and performance. Applicants should have over 5 years of experience in machine learning with a strong emphasis on NLP. Ideal candidates will be proficient in PyTorch or TensorFlow and have hands-on experience with Large Language Models. Join to create innovative AI solutions.

Formación

• 5+ years of experience in machine learning, with at least 3+ years focused on deep learning/NLP.
• Hands-on experience with LLMs and prompt engineering.
• Strong understanding of transformer architectures and embeddings.

Responsabilidades

• Design, develop, and optimize ML models with a focus on deep learning and NLP.
• Build scalable pipelines for training and deployment of models.
• Collaborate with data engineers to prepare large-scale datasets.

Conocimientos

Deep Learning

Natural Language Processing

Large Language Models

PyTorch

TensorFlow

Python

MLOps

Educación

Advanced degree (MSc/PhD) in Computer Science, AI, or related field

Herramientas

MLflow

Kubeflow

AWS

Azure

GCP

Descripción del empleo

Overview

We are seeking a highly skilled Machine Learning Engineer with expertise in Deep Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). You will be responsible for designing, building, and deploying advanced ML models and pipelines, ensuring scalability, performance, and production readiness. The ideal candidate has strong research knowledge combined with hands-on engineering skills to deliver intelligent, enterprise-grade AI solutions.

Details

Location: Remote in EU
Employment Type: Full-Time, B2B Contract
Start Date: ASAP
Language Requirements: Fluent English

Key Responsibilities

• Design, develop, and optimize ML models with a focus on deep learning, NLP, and LLM-based applications.
• Build scalable pipelines for training, fine-tuning, evaluation, and deployment of models.
• Work with frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Fine-tune and adapt pre-trained LLMs (GPT, BERT, LLaMA, etc.) for domain-specific tasks.
• Develop solutions for text classification, summarization, embeddings, RAG, and conversational AI.
• Ensure model scalability, robustness, and low-latency performance in production environments.
• Collaborate with data engineers to prepare and optimize large-scale datasets.
• Implement MLOps practices (CI/CD, monitoring, retraining, governance).
• Participate in code reviews, documentation, and technical knowledge sharing.

Requirements

• 5+ years of experience in machine learning, with at least 3+ years focused on deep learning/NLP.
• Strong expertise in PyTorch or TensorFlow, and NLP frameworks (Hugging Face, spaCy, NLTK).
• Hands-on experience with LLMs (GPT, T5, LLaMA, Falcon, etc.), fine-tuning and prompt engineering.
• Proficiency in Python and libraries (NumPy, Pandas, Scikit-learn).
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML).
• Strong understanding of transformer architectures, embeddings, and attention mechanisms.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML deployment.
• Excellent problem-solving and debugging skills.

Nice to Have

• Experience with vector databases (Pinecone, Weaviate, Milvus) for semantic search.
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Exposure to multimodal ML (text + image/audio/video).
• Contributions to open-source ML/NLP projects.
• Advanced degree (MSc/PhD) in Computer Science, AI, or related field.
• Industry background in fintech, healthcare, telecom, or e-commerce.