Senior Data Scientist / AI Consultant

Precision Technologies United State
Visa Sponsorship Relocation
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AI Summary

Precision Technologies seeks a Senior Data Scientist / AI Consultant to build and deploy enterprise-scale machine learning and AI solutions. The role requires hands-on expertise in model development, production deployment, and scalable data pipelines. The successful candidate will work closely with business teams and engineering stakeholders to deliver measurable outcomes.

Key Highlights
Design, build, and deploy production-grade machine learning and AI models
Develop predictive models using Python, SQL, and advanced statistical techniques
Collaborate with business stakeholders to translate requirements into analytical solutions
Key Responsibilities
Design, build, and deploy production-grade machine learning and AI models
Develop predictive models using Python, SQL, and advanced statistical techniques
Collaborate with business stakeholders to translate requirements into analytical solutions
Technical Skills Required
Python SQL NumPy Pandas Scikit-learn Machine Learning Supervised / Unsupervised learning Feature engineering Model evaluation & tuning Ensemble methods Deep Learning / AI TensorFlow or PyTorch NLP frameworks Spark / PySpark Airflow / orchestration tools ETL pipelines Cloud & Deployment AWS / Azure / GCP Containerization (Docker)
Benefits & Perks
Full-time employment
W2 employment only
Relocation to multiple client locations across USA (open to relocation)
Nice to Have
Experience working with LLM-based workflows (preferred)

Job Description


Title: Senior Data Scientist / AI Consultant

Location: Multiple client locations across USA (Open to relocation)

Employment: Full-time (W2 only)

Experience: 8–12+ Years

Visa: All visa types accepted

Role Overview

We are seeking a Senior Data Scientist / AI Consultant with strong experience building and deploying enterprise-scale machine learning and AI solutions.

This role requires hands-on expertise in model development, production deployment, stakeholder consulting, and scalable data pipelines, working closely with business teams and engineering stakeholders to deliver measurable outcomes.

Key Responsibilities

  • Design, build, and deploy production-grade machine learning and AI models
  • Develop predictive models using Python, SQL, and advanced statistical techniques
  • Work on end-to-end ML lifecycle including feature engineering, model training, validation, and monitoring
  • Build scalable pipelines for data ingestion, transformation, and model serving
  • Collaborate with business stakeholders to translate requirements into analytical solutions
  • Implement and maintain models in cloud-based environments (AWS/Azure/GCP)
  • Apply modern techniques including:
  • NLP
  • Recommendation systems
  • Forecasting
  • Classification / clustering
  • Participate in architecture discussions for AI-driven systems

Required Technical Skills

Languages & Tools

  • Python (NumPy, Pandas, Scikit-learn)
  • SQL (advanced querying & optimization)

Machine Learning

  • Supervised / Unsupervised learning
  • Feature engineering
  • Model evaluation & tuning
  • Ensemble methods

Deep Learning / AI

  • TensorFlow or PyTorch
  • NLP frameworks
  • Experience working with LLM-based workflows (preferred)

Data Engineering Exposure

  • Spark / PySpark
  • Airflow / orchestration tools
  • ETL pipelines

Cloud & Deployment

  • AWS / Azure / GCP
  • Containerization (Docker)
  • Experience deploying models via APIs or microservices

Consulting & Soft Skills (IMPORTANT FOR FILTERING)

  • Experience working in client-facing consulting environments
  • Ability to explain complex ML concepts to business stakeholders
  • Strong communication and solution design mindset
  • Experience delivering measurable business outcomes from AI solutions

Preferred Experience

  • Experience with MLOps frameworks
  • Model monitoring / drift detection
  • Experience with real-time inference systems
  • Experience with enterprise data platforms

📩 Apply: rajesh@precisiontechcorp.com


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