Offer summary

Qualifications:

Proven experience with Prompt Engineering and fine-tuning of large language models., Hands-on experience with Retrieval-Augmented Generation (RAG) systems and semantic retrieval using Atlas Vector Search., Proficiency in Python for data processing, machine learning modeling, and scripting., Strong knowledge of relational databases like PostgreSQL and MySQL..

Key responsibilities:

Design, develop, and optimize prompts to improve AI output relevance and accuracy.

Build and maintain RAG pipelines using Atlas Vector Search, databases, and proprietary datasets.

Develop, train, and evaluate machine learning models focusing on retrieval-based architectures.

Create dashboards and reports to communicate AI model performance and impact.

Job description

Job Opportunity: Senior Data Scientist (3 months extension +)

What We Offer

Join our thriving high-tech development business that is rapidly expanding, catering to a diverse clientele across Europe and North America.

We believe in synchronicity, but we also value flexibility. We're always eager to listen to your needs and accommodate them to the best of our ability.

Key Responsibilities

Design, develop, and optimize prompts to enhance the relevance, accuracy, and usefulness of AI-generated outputs.
Build and maintain RAG pipelines using Atlas Vector Search, relational databases, and proprietary datasets.
Develop, train, and evaluate machine learning models, focusing on retrieval-based and agentic architectures.
Conduct A/B tests and structured experiments to validate prompt effectiveness.
Analyze user interactions and system performance to identify improvement opportunities.
Collaborate cross-functionally with product, engineering, and content teams to align AI output with business objectives.
Create reproducible ML workflows using Docker and support scalable deployments.
Design insightful dashboards and reports to communicate AI model impact and performance.

Must-Have Qualifications

Proven experience with Prompt Engineering, including fine-tuning or prompt tuning strategies for LLMs (ideally 4.o models).
Hands-on experience with RAG systems and semantic retrieval using Atlas Vector Search.
Proficiency in Python for data processing, ML modeling, and scripting.
Strong knowledge of Relational Databases (PostgreSQL, MySQL) for data integration.
Experience with Docker for containerization and workflow reproducibility.
Ability to design and interpret experiments using data-driven decision making.
Excellent communication skills with a talent for simplifying complex AI topics.

Nice-to-Have Skills

Experience with Agentic AI systems and multi-step reasoning architectures.
Familiarity with Apache Kafka for event streaming and real-time pipelines.
Knowledge of Kubernetes (K8s) for orchestrating ML workloads.
Experience with Node.js for backend/API integration.
Familiarity with UX principles and/or BI tools like Streamlit, Dash, Power BI, or Tableau

Extra Points:

We highly value personal projects that highlight your technological prowess and ability to self-direct. We see these as shining examples of potential and initiative!
Excellent communication skills.
Desire to work in a multidisciplinary and cross-functional team.

Remuneration:

Compensation in US dollars as contractor.

This is a remote position, allowing you to work from anywhere.

If you are seeking a stimulating work environment, growth opportunities, and a team passionate about technology, look no further! Join 1950Labs and become a part of our success.

To apply, please submit your CV. We look forward to getting to know you and discussing how you can contribute to our team.