Avatar for Triunity Software
IT solutions, consulting, & staff augmentation services

AI/ML Engineer

Posted: 6 days ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
SQL
REST APIs
Azure
UNSUPERVISED LEARNING
Supervised Learning
scikit-learn
AWS
Feature Engineering
Model Evaluation
Keras
TensorFlow
GCP
PyTorch
Data Preprocessing
Model Deployment

About the job

Job description

Position: AI/ML Engineer

We are seeking a passionate AI/ML Engineer with 5+ years of experience in designing, developing, and deploying Machine Learning and Artificial Intelligence solutions. The ideal candidate should have strong programming skills, hands-on experience with ML frameworks, and a solid understanding of data science, deep learning, and Generative AI concepts.

Key Responsibilities

  • Design, develop, and deploy Machine Learning and AI models for business applications.
  • Build and optimize predictive analytics, classification, recommendation, and forecasting models.
  • Collect, clean, preprocess, and analyze large datasets.
  • Collaborate with data engineers and software development teams to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Implement MLOps practices for model deployment, monitoring, and lifecycle management.
  • Work on NLP, Computer Vision, and Generative AI use cases.
  • Create documentation, reports, and technical specifications.

Required Skills

  • 5+ years of hands-on experience in AI/ML development.
  • Strong programming skills in Python.
  • Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
  • Knowledge of SQL and database technologies.
  • Understanding of supervised and unsupervised learning algorithms.
  • Experience in data preprocessing, feature engineering, and model evaluation.
  • Familiarity with REST APIs and model deployment techniques.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.

Preferred Skills

  • Experience with Generative AI, Large Language Models (LLMs), LangChain, RAG, and Vector Databases.
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, Azure ML, or SageMaker.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.

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