Senior AI/ML Engineer

Arkhya Tech
Medina, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Medina, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Big Data
Cloud Computing
Computer Programming
Continuous Integration
Data Governance
ETL
Distributed Systems
Monitoring of Systems
Python
Machine Learning
Recommender Systems
TensorFlow
Standard Sql
Feature Engineering
PyTorch
Large Language Models
Snowflake
Prompt Engineering
Spark
Generative AI
Scikit Learn
Kubernetes
Machine Learning Operations

Job description

We are seeking a Senior AI/ML Consultant to design and deliver scalable machine learning solutions that drive business value. This role involves working closely with data, analytics, and product teams to build and operationalize production-grade AI systems., * Develop and deploy ML models using Python and frameworks such as TensorFlow, PyTorch, or scikit-learn

  • Build end-to-end ML pipelines including MLOps, CI/CD, and model monitoring
  • Work with large-scale data processing, ETL pipelines, and feature engineering
  • Apply Generative AI techniques including LLMs, RAG, fine-tuning, and prompt engineering
  • Translate business problems into effective ML solutions and communicate outcomes clearly
  • Collaborate across teams and contribute to scalable, production-ready systems

Requirements

  • 10+ years of experience in AI/ML engineering or related roles
  • Strong programming skills in Python and SQL
  • Hands-on experience with ML tools such as MLflow or Kubeflow
  • Experience with cloud platforms (AWS preferred) and distributed systems like Spark
  • Understanding of data governance, privacy, and responsible AI practices

Preferred Skills

  • Experience with AWS and Snowflake
  • Background in NLP, computer vision, or recommendation systems
  • Experience mentoring teams or leading ML initiatives

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