Description We are in the detail oriented services industry, located in New York, New York, seeking a Machine Learning Engineer. This role involves the design and development of AI architectures and frameworks, ensuring their scalability and efficiency. The Machine Learning Engineer will also be responsible for the entire technical lifecycle of AI projects, from initial design to deployment and maintenance.

Responsibilities:

• Design and implement robust AI architectures and development frameworks.

• Ensure AI solutions are scalable, efficient, and integrate seamlessly with existing systems.

• Oversee the technical lifecycle of AI projects, from initial design to deployment and maintenance.

• Translate business opportunities and requirements into high-level technical AI solutions.

• Bridge the gap between business needs and technical capabilities, crafting tailored AI strategies and solutions that address specific business challenges.

• Collaborate closely with stakeholders to ensure the alignment of AI solutions with business goals.

• Ensure the seamless integration of AI solutions into existing systems and processes.

• Utilize skills in PyTorch, TensorFlow, and scikit-learn to enhance machine learning capabilities and efficiencies. Requirements • Possess a Bachelor's or Master's degree in Computer Science, Statistics, Applied Math or related field

• Proficiency in using query languages such as SQL

• Experience in using statistical computer languages: R, Python, SLQ, etc. to manipulate data and draw insights from large data sets

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications

• Excellent written and verbal communication skills for coordinating across teams

• Drive to learn and master new technologies and techniques

• Familiarity with PyTorch, TensorFlow, and scikit-learn

• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

• Experience in developing and deploying machine learning solutions in a cloud environment such as Azure, GCP or AWS.

• Commitment to staying informed of new developments in AI and machine learning, and advocating for their application where appropriate. Technology Doesn't Change the World, People Do.®

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