Role Overview
We are seeking a highly skilled
- ️ Train models to recognize products based on textual descriptions.
- Focus on RAG and explore advanced domains like recommendation systems, network science, and more.
- Build, deploy, and operate machine learning pipelines across production environments.
- Work with large, distributed datasets to extract actionable insights.
- Leverage data storytelling to communicate findings effectively across teams.
- Participate in Agile/Scrum teams and contribute to program management.
- Recommendation Systems
- Time Series & Forecasting
- Strong background in network science and feature engineering.
- Proficiency in Python, R, or Scala.
- Experience with ML frameworks like scikit-learn, TensorFlow, and at least one Deep Learning framework.
- ️ Familiarity with Cloud AI/ML tools (preferably GCP).
- Experience with Power BI or Google Looker for visualization.
- Skilled in data mining, predictive modeling, and working with unstructured data.
- Knowledge of NLP and image processing is a plus.
- Ability to overlay multiple datasets and scale insights.
- Self-sufficiency in solving technical challenges through research.
- Deep understanding of AI/ML models and algorithms.
- Willingness to travel or work off-hours when needed.
- Familiarity with data management, predictive analytics, and visualization tools.
- Fully remote work environment
- Work on cutting-edge LLM and ML technologies
- Collaborate with a global, innovative team
Data Scientist (LLM Focus)
Location: Remote
Job Type: Contract
Experience Required: 6–7 Years
Role Overview
We are seeking a highly skilled
Data Scientist with hands-on experience in
Large Language Models (LLM) to join our remote team on a contract basis. This role involves building intelligent ML pipelines, training models, and exploring cutting-edge areas like
RAG (Retrieve and Generate),
recommendation engines, and
network science.
Key Responsibilities
- Develop ML pipelines for data cleaning using existing cleaned datasets.
- ️ Train models to recognize products based on textual descriptions.
- Focus on RAG and explore advanced domains like recommendation systems, network science, and more.
- Collaborate on dashboard development using Power BI or Google Looker.
- Build, deploy, and operate machine learning pipelines across production environments.
- Work with large, distributed datasets to extract actionable insights.
- Leverage data storytelling to communicate findings effectively across teams.
- Participate in Agile/Scrum teams and contribute to program management.
Technical Competencies- Expertise in ML methods:
- Recommendation Systems
- Supervised Learning & Feature Engineering
- Time Series & Forecasting
- Clustering
- Strong background in network science and feature engineering.
- Proficiency in Python, R, or Scala.
- Experience with ML frameworks like scikit-learn, TensorFlow, and at least one Deep Learning framework.
- ️ Familiarity with Cloud AI/ML tools (preferably GCP).
- Experience with Power BI or Google Looker for visualization.
- Skilled in data mining, predictive modeling, and working with unstructured data.
- Knowledge of NLP and image processing is a plus.
- Ability to overlay multiple datasets and scale insights.
Desirable Skills
- Self-sufficiency in solving technical challenges through research.
- Deep understanding of AI/ML models and algorithms.
- Strong interpersonal and communication skills.
- Willingness to travel or work off-hours when needed.
- Familiarity with data management, predictive analytics, and visualization tools.
Why Join Us?
- Fully remote work environment
- Flexible contract-based engagement
- Work on cutting-edge LLM and ML technologies
- Collaborate with a global, innovative team
Skills: ml pipelines,nlp,unstructured data,learning,recommendation systems,google looker,scala,clustering,python,large language models (llm),predictive modeling,forecasting,supervised learning,scikit-learn,datasets,gcp (google cloud platform),power bi,tensorflow,feature engineering,time series,image processing,data mining,deep learning frameworks,r,data
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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