Minimum 5 years of experience in data science or ML engineering., At least 2 years of hands-on experience with large language models (LLMs)., Proficiency in Python, SQL, and Linux environments., Deep understanding of OpenAI models, prompt engineering, and AI frameworks..
Key responsibilities:
Develop and deploy LLM-powered tools to improve analyst workflows.
Create scalable solutions to simplify operational processes.
Collaborate with product and operations teams to automate client-facing platforms.
Translate client needs into practical AI solutions and iterate rapidly.
Report this Job
Help us maintain the quality of our job listings. If you find any issues
with this job post, please let us know. Select the reason you're reporting
this job:
Celara
51 - 200
Employees
About Celara
Celara transforms your vision into reality by building elite near-shore technology teams with CTO-level expertise.
Specializing in machine learning, enterprise software, and product development, Celara is dedicated to driving innovation through high-performance teams tailored to the unique needs of our ambitious clients.
At Celara, we are more than just a service provider; we are technologists, entrepreneurs, and innovators deeply invested in your success. We build and foster elite teams aligned with your most ambitious goals. Our approach mirrors that of a CTO—focused on people, talent, structure, systems, and innovation. We are your partners in innovation, bringing deep technical expertise and a relentless drive to push the boundaries of what’s possible. We thrive on turning complex challenges into solutions, working side by side with your team to transform bold ideas into impactful realities.
Ideal for:
- VC-backed companies needing top talent to fuel growth
- Established enterprises seeking more affordable elite technology professionals
- Organizations requiring scalable tech teams with embedded strategic guidance
Join us on this journey of growth and innovation. Let's transform your visions into reality together.
We're a distributed SaaS company that leverages AI to provide media monitoring and analysis. Our tools help clients grasp what's being discussed globally and its significance. We transform raw data into actionable insights using large language models (LLMs), robust data pipelines, and tailored metrics.
We're seeking a high-impact Data Scientist to reimagine and transform our operations and client product delivery. This strategic role merges advanced data science, LLMs, and product thinking to enhance simplicity, usability, quality, and operational efficiency across the company. We're looking for someone with 5+ years of experience, a profound understanding of LLMs (particularly the OpenAI ecosystem), and the ability to quickly integrate with our existing AI/ML team.
You'll operate at the nexus of AI innovation, operational design, and client experience, applying technical rigor, business acumen, and creative energy to tackle complex challenges.
Key Responsibilities
LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery.
Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort.
Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms.
Client-Centric Design: Translate client pain points and product gaps into practical, data- driven AI solutions that enhance experience and outcomes.
Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality.
Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life.
Tech Stack You’ll Work With:
Languages & Tools: Python (heavy use), SQL (PostgreSQL), Bash, Docker
5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production, and a minimum of 2 years’ experience with LLM’s.
Proven experience applying LLMs and generative AI to real-world business problems.
Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
Expert Python skills – you write clean, maintainable, tested, and efficient code
Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
Fluent in SQL with ability to work efficiently with PostgreSQL datasets
Experience using Docker for local and production development
Proficiency with LangChain for building multi-step LLM workflows
Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time
Strong business acumen—able to connect technical solutions to operational and client value.
Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
Creativity and experimentation—willing to try, fail, and improve.
Exceptional communication skills—can explain complex ideas simply and persuasively.
What We’re Looking For
Proven experience applying LLMs and generative AI to real-world business problems.
Deep proficiency in Python, NLP, and AI frameworks (e.g., Hugging Face, LangChain), vector databases, and prompt engineering.
Strong business acumen—able to connect technical solutions to operational and client value.
Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
Creativity and experimentation—willing to try, fail, and improve.
Exceptional communication skills—can explain complex ideas simply and persuasively.
Minimum 3–5 years of experience in AI/ML roles, preferably in B2B or SaaS environments.
Bachelor or Master in Computer Science, Data Science, AI, or related field.
Nice to Have:
Experience with AWS cloud services (EC2, S3, etc.)
Familiarity with workflow orchestration tools
Knowledge of media analytics, journalism, or influence measurement
Prior work with data labeling, theme detection, or benchmarking model output
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.