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Data Scientist / Machine Learning Engineer (LLM & RAG Systems)

Remote:

Full Remote

Contract:

Full time

Salary:

21 - 23K yearly

Work from:

France

Offer summary

Qualifications:

Strong Python development skills., Experience in machine learning or NLP., Knowledge of AWS for cloud ML deployment., Familiarity with vector embedding models..

Key responsabilities:

Develop and optimize RAG pipelines.
Fine-tune and evaluate LLMs for accuracy.

Lynceus Startup http://www.lynceus.ai

11 - 50 Employees

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Job description

What you will do

Develop and optimize RAG pipelinesÂ to enhance LLM-driven troubleshooting.
Work withÂ PyVectorÂ to store and retrieve relevant data efficiently.
ImplementÂ vector embedding modelsÂ to power retrieval and improve accuracy.
BuildÂ high-quality Python codeÂ to power our AI applications.
Deploy and scale models onÂ AWSÂ (S3, Lambda, ECS, SageMaker, Bedrock).
Fine-tune and evaluate LLMsÂ for task-specific reasoning and accuracy.
ImplementÂ efficient document indexing and retrievalÂ for knowledge-intensive queries.
Experiment, iterate, and deploy features quickly based on real customer feedback.
Work with a small but highly skilled team to push the limits of industrial AI.
Take ownership of challenges, figure things out as you go, and adapt to changing priorities.

What we are looking for

StrongÂ Python development skills, with experience in machine learning or NLP.
Experience withÂ RAG architecturesÂ and knowledge retrieval techniques.
Familiarity withÂ PyVectorÂ for vector search and retrieval.
Experience usingÂ vector embedding modelsÂ (e.g., OpenAI, Bedrock Titan, Cohere, SentenceTransformers).
Understanding ofÂ embedding modelsÂ and best practices for retrieval.
Experience working withÂ AWSÂ for cloud-based ML deployment.
Knowledge ofÂ LangChain, LlamaIndex, or other RAG frameworks.
Ability to work in aÂ fast-paced, experimental environment, where iteration and adaptation are key.
AÂ self-starterÂ who can work autonomously in a remote setting.
A strong problem-solver who thrives when thrown in at the deep end.

Why us?

Work onÂ cutting-edge AIÂ in a complex and impactful industry.
Be part of aÂ small, agile, and highly talented teamÂ where your work truly matters.
Enjoy fullÂ remote flexibilityÂ with the autonomy to shape your role.
Build a product that solves real-world problems for top-tier industrial clients.

If this sounds like the kind of challenge youâre excited about, weâd love to hear from you. Apply now and help us build the future of AI-driven troubleshooting!

Our Values

We are owners:Â We get involved, understand the impacts we make and deliver what we commit to.
We are bias for action:Â We take actions with a goal in mind and act fast
We believe thereâs always something to learn:Â We are not afraid of asking questions and learning from different people all the time
We collaborate and communicate:Â We understand that team work is key and the team's success is also my success
We support and respect each other:Â We support both external and internal stakeholders needs and respect differences we all have
We stand by our values and walk the talk:Â We stand by our values to make sure that our culture is strong despite being remote-first

Interview Process

Screening Interview with our HR Team
Technical Interview with our Delivery Team
Cultural Fit Interview with our Co-Founder

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About us

At Lynceus, we are building theÂ first predictive OS for high-value manufacturing.

We provide software with edge/cloud hybrid architecture, deployed within manufacturing process control tools. We are building a scalable generic product, supported by the most robust machine learning models. Today, our platform leverages manufacturing data and in-house process comprehension toÂ predict the performance of manufactured goods and systemsÂ (in-line and end-of-line quality tests), with each manufacturing step modelled independently. We deliver gains for our customers both throughÂ yield improvementÂ andÂ added production capacity. Tomorrow, our software will provide quality predictions further in time (customer returns, product performance in time, longevity, etc), integrate within the process control tools, and allow for powerful simulations of new process steps.

Semiconductor manufacturingÂ is our first market, and we are working today withÂ major semiconductor firms, with deployments already completed in several factories. We are also relevant for most high added-value manufacturing, with use cases and interest proven in LED, battery, biopharma and chemical industries.

We areÂ venture-backedÂ and currently in the process of raising aÂ Series AÂ round to accelerate our growth. As we scale our team, we are activelyÂ looking for enthusiastic, ambitious and driven individuals to help us deliver the most scalable models on the market, all the while demonstrating acute process and customer understanding.

We are a remote-first company with a truly international working environment. Our team represents 11 nationalities and spans 12 vibrant cities across Europe & the Middle East, where diversity fuels our innovation in AI.