HirePlus Infotech LLC

Senior Data Scientist (AI/ML & Databricks)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (AI/ML & Databricks) with 15+ years of experience, focusing on enterprise AI initiatives. Contract length is unspecified, with a pay rate of "unknown". Requires expertise in Databricks, cloud platforms, and Supply Chain Analytics. Remote work.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 9, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Scala #Forecasting #Data Engineering #Spark (Apache Spark) #Deployment #Azure #Leadership #Delta Lake #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Data Science #Python #PySpark #Cloud #Databricks #Programming #SQL (Structured Query Language) #Deep Learning #AWS (Amazon Web Services) #ML (Machine Learning) #MLflow #NLP (Natural Language Processing)
Role description
One of my clients is looking for Senior Data Scientist (AI/ML & Databricks) - USA (Remote) for a contract role. Any visa is fine except OPT/CPT. Required Skills & Qualifications: β€’ 15+ years of progressive experience in Data Science, Machine Learning, and Artificial Intelligence with a strong record of driving enterprise-level AI initiatives. β€’ Proven expertise as a Machine Learning & Artificial Intelligence Expert / SME, leading end-to-end solution architecture, model development, and deployment. β€’ Deep hands-on experience with Databricks (Lakehouse architecture, Delta Lake, MLflow, Unity Catalog) β€” recognized for SME-level proficiency. β€’ Advanced programming skills in Python, PySpark, and SQL for large-scale data engineering and model development. β€’ Strong experience in building, training, and operationalizing ML/AI models across Azure, AWS, and GCP cloud platforms. β€’ Comprehensive understanding of machine learning algorithms, deep learning architectures, and NLP techniques. β€’ Skilled in MLOps, including Feature Store management, MLflow tracking, and Model Serving for scalable and governed AI deployment. β€’ Domain expertise in Supply Chain Analytics, including demand forecasting, inventory optimization, and logistics modeling. β€’ Excellent leadership, communication, and stakeholder management skills with a proven ability to bridge technical and business teams effectively. If interested, please share your updated resume.