Senior AI/ML Data Engineer - Remote - EMEA at Jobgether

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI, Machine Learning, Python, SQL, Data Modeling, Relational Databases, Vector Databases, RAG Systems, Collaboration, Cloud Platforms, Workflow Orchestration, FastAPI, Pandas, PyTorch, TensorFlow

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI/ML Data Engineer in EMEA. In this role, you will play a key part in shaping the foundation of a fast-growing SaaS company’s data and AI capabilities. As part of a highly collaborative AI team, you’ll design and maintain data pipelines, embeddings, and retrieval systems that power innovative, customer-facing AI features. You’ll work closely with cross-functional product and platform teams to integrate intelligent systems that enhance user experience and business performance. This position offers the opportunity to contribute directly to a transformative product ecosystem, in a fully remote and global work environment. Accountabilities Build and maintain scalable data pipelines and ETL/ELT processes to support AI-driven product features. Design and optimize embeddings, vector databases, and Retrieval-Augmented Generation (RAG) systems. Experiment with LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex to enable next-generation AI applications. Collaborate with product and platform engineering teams to ensure seamless data integration and performance across systems. Establish and uphold best practices for data quality, observability, and reliability in AI workflows. Contribute to the deployment and monitoring of Python-based AI services in production environments. 5+ years of experience in data or backend engineering, preferably within SaaS environments. Strong proficiency in Python (FastAPI, Pandas, and optionally PyTorch or TensorFlow). Expertise in SQL, data modeling, and relational databases. Experience working with vector databases such as Pinecone, Weaviate, or FAISS. Familiarity with RAG systems and AI orchestration frameworks (e.g., LangChain). Proven ability to collaborate effectively with cross-functional teams to deliver robust data solutions. Bonus: experience with cloud platforms (AWS, GCP) and workflow orchestration tools (Airflow, Dagster). Competitive Compensation: Salary aligned with local market rates. 100% Remote: Work from anywhere within your country of residence. Equity: All employees receive stock options in a fast-growing and profitable company. Values-Driven Leadership: A culture rooted in transparency, learning, and collaboration. Career Growth: Exceptional opportunities for professional development and advancement. Paid Annual Leave: Country-specific paid time off aligned with local standards. Health & Pension Benefits: Offered where applicable based on the candidate’s location. Global Team Culture: Work with a diverse, international team spread across 40+ countries. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s key requirements and historical success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When needed, our human team performs an additional manual review to ensure no strong profile is overlooked. This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is complete, we share it directly with the company that owns the opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

In this role, you will build and maintain scalable data pipelines and ETL/ELT processes to support AI-driven product features. You will also design and optimize embeddings, vector databases, and Retrieval-Augmented Generation systems.