AI/ML Engineer(W2 & Locals only)
AI/ML Engineer(W2 & Locals only)
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Job Description
Job : AI/ML Engineer(W2 & Locals only)
Location : NYC and Sunrise FL
Skills : Langchain Multiple Agent Strong Python Lang Graph NoSQL database Isolation Forest LOF
Ensemble model working experience
Title: AI/ML Engineer.
Key skills- Langchain Multiple Agent Strong Python Lang Graph NoSQL database Isolation Forest LOF
Ensemble model working experience.
Location: NYC and Sunrise FL (client in person interview required look for only local candidate )
The Role
Responsibilities:
- Develop and implement AI/ML models: Design develop test and deploy machine learning models that solve real-world problems. Candidate will handle data preprocessing model training tuning and evaluation.
- Data Exploration and Analysis: Work with structured and unstructured data to prepare it for ML models. Collaborate with data engineers to ensure high data quality and availability.
- Model Optimization: Optimize algorithms to ensure high accuracy and low latency. Use techniques like hyperparameter tuning regularization and transfer learning.
- Collaborate Across Teams: Work with product managers engineers and data scientists to integrate AI solutions into the companys offerings. Provide technical expertise and share knowledge with team members.
- Maintain and Update Models: Monitor the performance of deployed models make improvements as needed and ensure their reliability and scalability.
- Stay Updated: Keep up with the latest AI/ML advancements tools and libraries to bring innovative approaches to the team.
Requirements:
You are:
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
- Minimum of 10 years of experience in AI/ML model development deployment and optimization.
- Proficiency in Python R or similar programming languages.
- Experience with machine learning libraries like TensorFlow PyTorch Scikit-learn etc.
Strong knowledge of ML algorithms including supervised unsupervised and reinforcement learning. - Familiarity with cloud platforms (AWS Azure Google Cloud) for deploying models.
Understanding of data preprocessing techniques and experience with SQL and NoSQL databases. - Analytical Skills: Excellent problem-solving skills and a data-driven mindset.
- Communication: Ability to explain technical concepts to non-technical stakeholders effectively.
It would be great if you also had:
- Experience with natural language processing computer vision or recommendation systems.
- Familiarity with big data technologies (e.g. Spark Hadoop) and data visualization tools.
- Understanding of MLOps and experience with tools like MLflow or Kubeflow.
Knowledge of Agile methodologies.
Employment Type
Full-time
