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Snowrelic Inc

AI/ML Engineer(W2 & Locals only)

Snowrelic Inc, Fort Lauderdale, Florida, us, 33336

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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 Location:

NYC and Sunrise, FL (client in person interview required, only local candidates considered) Responsibilities Develop and implement AI/ML models: Design, develop, test, and deploy machine learning models that solve real-world problems. 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 for high accuracy and low latency using 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 company's offerings. Share technical expertise and knowledge. Maintain and Update Models: Monitor deployed models' performance, improve as needed, and ensure reliability and scalability. Stay Updated: Keep current with AI/ML advancements, tools, and libraries to bring innovative approaches to the team.

Requirements 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.

Nice to Have

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.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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