AIML Engineer

Innovitusa

Job Location:

Harrisburg, PA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Develop and train machine learning and deep learning models.
Build data pipelines for data collection cleaning and feature engineering.
Evaluate optimize and fine-tune model performance.
Deploy AI/ML models into production environments.
Monitor model accuracy latency and reliability after deployment.
Implement MLOps practices for automated training testing and deployment.
Collaborate with data scientists software engineers and product teams.
Conduct experiments and A/B testing to improve model performance.
Document models workflows and technical solutions.

Required Technical Skills

Programming: Python Java C or Scala
Machine Learning: Regression Classification Clustering Recommendation Systems
Deep Learning: Neural Networks CNNs RNNs Transformers LLMs
Frameworks: TensorFlow PyTorch Scikit-learn
Databases: SQL NoSQL
Cloud Platforms: AWS Azure GCP
MLOps Tools: MLflow Kubeflow Docker Kubernetes
Big Data: Spark Hadoop
Version Control: Git
API Development: FastAPI Flask REST APIs

Preferred Skills

Generative AI and LLMs (GPT Claude Llama)
Prompt Engineering and RAG systems
NLP Computer Vision or Recommendation Systems
Distributed computing and scalable ML infrastructure
Strong communication and problem-solving skills

Key Responsibilities Develop and train machine learning and deep learning models. Build data pipelines for data collection cleaning and feature engineering. Evaluate optimize and fine-tune model performance. Deploy AI/ML models into production environments. Monitor model accuracy latency and reliab...