More jobs:
Data Scientist_Freelancing
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-10-09
Listing for:
Kairos Technologies Inc.
Contract
position Listed on 2026-10-09
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Engineering
Job Description & How to Apply Below
Position: Senior Data Scientist
Experience
: 8+ Years
Location: Hyderabad (Remote)
Interview Mode: F2F
Mandatory
Skills:
Strong proficiency in Python, SQL, and advanced statistical analysis.
Hands-on experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM,
Tensor Flow, and PyTorch.
Expertise in predictive modeling, forecasting, classification, clustering, optimization, and anomaly
detection.
- Experience with large-scale data processing using Spark/PySpark.
- Knowledge of MLOps, CI/CD pipelines, model deployment, monitoring, and ML lifecycle management.
- Experience with cloud analytics platforms such as Azure, Databricks, Microsoft Fabric, or AWS.
- Strong understanding of data visualization, storytelling, and stakeholder communication.
- Ability to translate business requirements into scalable analytical solutions.
Preferred
Skills:
- Experience with Generative AI, Large Language Models (LLMs), Prompt Engineering, and
Retrieval-Augmented Generation (RAG).
- Experience building AI copilots, conversational AI, and intelligent automation solutions.
- Knowledge of Azure OpenAI, Microsoft Fabric AI capabilities, and Agentic AI frameworks.
- Experience in transportation, logistics, supply chain, asset management, or related domains.
- Familiarity with Responsible AI, AI Governance, and model risk management practices.
- Azure, AWS, Databricks, or AI/ML certifications.
- Strong leadership, mentoring, and cross-functional collaboration skills.
Keywords:
Python, SQL, Machine Learning, Artificial Intelligence (AI), Generative AI, Large Language
Models (LLMs), Predictive Analytics, Forecasting, NLP, Azure OpenAI, Microsoft Fabric, Databricks, Azure
ML, PySpark, MLOps, RAG, Deep Learning
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