Software Engineer - Data, AI/ML & Analytics

It Services
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 100K

Job location

Remote

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Continuous Integration
Data Cleansing
Distributed Computing Environment
High-Level Architecture
Python
Machine Learning
TensorFlow
Standard Sql
Feature Engineering
PyTorch
Large Language Models
Spark
Deep Learning
Model Validation
Generative AI
Scikit Learn
Kubernetes
Machine Learning Operations
Data Pipelines
Docker
Databricks

Job description

We are seeking an AI/ML Engineer with 2+ years of experience to design, develop, and deploy machine learning models and AI-powered solutions. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, and cloud technologies, with the ability to build scalable AI applications that solve real-world business challenges., * Design, develop, train, and deploy Machine Learning models and AI solutions.

  • Build and maintain scalable data pipelines for model training and inference.
  • Analyze large datasets and implement predictive analytics solutions.
  • Develop and optimize algorithms for performance and accuracy.
  • Collaborate with Data Engineers, Data Scientists, and business stakeholders.
  • Monitor, evaluate, and improve model performance in production environments.
  • Implement best practices for model testing, validation, and deployment.
  • Document technical processes, workflows, and model architectures.
  • Stay current with emerging AI, Machine Learning, and Generative AI technologies.

Requirements

  • 2+ years of experience in AI/ML Engineering.
  • Strong proficiency in Python.
  • Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
  • Strong understanding of Machine Learning and Deep Learning concepts.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Knowledge of SQL and database management.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with MLOps, model deployment, and monitoring.
  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Experience with Generative AI, LLMs, RAG, AI Agents, or NLP.
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines.
  • Experience with Databricks, Spark, or distributed computing frameworks.
  • Familiarity with Agile development methodologies.

Mandatory Requirements

  • Currently residing in the United States.
  • Valid authorization to work in the USA.
  • Available to work remotely in US business hours.

Benefits & conditions

$80,000 - $100,000 a year - Full-time, Contract, Pulled from the full job description

  • Health insurance
  • Paid time off

Apply for this position