Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
Algorithms
Apache Spark
Big Data
Artificial Intelligence
Cloud Computing
Data Science
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Job Details
Job: Lead AIML Developer
Location: NYC, NY onsite Day 1
Duration: Long Term
Client: Direct
$/hr on C2C
Job Description :
Responsibilities:
- Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems.
- Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments.
- Analyze large datasets to extract meaningful insights and improve model performance.
- Research and stay up to date with the latest AI trends, tools, and technologies.
- Optimize models for scalability, performance, and accuracy.
- Required Skills
- Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
- Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform for deploying AI models.
- Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker).
- Preferred Qualifications
- Bachelor s or Masters degree in Computer Science, Data Science, or a related field.
- 2+ years of experience in AI/ML development.
- Experience with big data tools like Spark or Hadoop is a plus
- Python
- AI/ ML, NLP
- Tensor, PyTorch
- AWS, Azure
- Pandas, Numpy
- CI/CD
- Any Cloud Knowledge
Mandatory Skills:
- Python
- AI/ ML, NLP
- Tensor, PyTorch
- AWS, Azure
- Pandas, Numpy
- CI/CD
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.