Senior Associate – Agentic AI and Machine Learning Developer

Jobtailor; Town of Florida (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor in New York is seeking a data-focused AI/ML engineer to design and implement solutions that transform raw data into actionable insights. You will build scalable systems with advanced algorithms and data engineering techniques, and partner with clients to deliver tailored data solutions.

The ideal candidate has at least 2 years of experience, a Bachelor's degree, and proficiency in Python and Java, with hands-on experience in TensorFlow and Scikit-Learn for deep learning projects.

Qualifications

• At least a Bachelor's degree.
• At least 2 years of experience.
• Preference for Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering.
• At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
• Demonstrating proficiency in AI implementation and machine learning libraries.
• Utilizing Python and Java for complex data analysis and modeling.
• Excelling in data integration and data pipeline development.
• Applying natural language processing techniques for text analytics.
• Leveraging TensorFlow and Scikit-Learn for deep learning projects.

Responsibilities

• Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
• Developing scalable software and platform systems using advanced algorithms and data engineering techniques
• Collaborating with clients to understand their needs and deliver tailored data solutions
• Utilizing programming languages such as Python and Java to build and deploy AI models
• Integrating data from various sources to enhance data quality and infrastructure
• Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance
• Conducting complex data analysis to support informed decision-making and business growth
• Building and maintaining data pipelines to streamline data processing and analysis
• Leveraging natural language processing tools to develop innovative text analytics solutions
• Mentoring junior team members and guiding them in technical and professional development

Skills

Python

Java

Machine Learning

Data Analysis

Data Engineering

TensorFlow

Scikit-Learn

Natural Language Processing

Data Pipeline Development

Advanced Algorithms

AI Implementation

Data Integration

Collaboration

Mentoring

Communication

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

• Designing and implementing AI and machine learning solutions to transform raw data into actionable insights


• Developing scalable software and platform systems using advanced algorithms and data engineering techniques


• Collaborating with clients to understand their needs and deliver tailored data solutions


• Utilizing programming languages such as Python and Java to build and deploy AI models


• Integrating data from various sources to enhance data quality and infrastructure


• Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance


• Conducting complex data analysis to support informed decision-making and business growth


• Building and maintaining data pipelines to streamline data processing and analysis


• Leveraging natural language processing tools to develop innovative text analytics solutions


• Mentoring junior team members and guiding them in technical and professional development

Requirements

• At least a Bachelor's degree


• At least 2 years of experience


• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering


• At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials


• Demonstrating proficiency in AI implementation and machine learning libraries


• Utilizing Python and Java for complex data analysis and modeling


• Excelling in data integration and data pipeline development


• Applying natural language processing techniques for text analytics


• Leveraging TensorFlow and Scikit-Learn for deep learning projects

Core Competencies

Proficient in designing and implementing AI and machine learning solutions, with expertise in Python and Java for data analysis and modeling. Skilled in developing data pipelines, integrating data sources, and applying machine learning libraries like TensorFlow and Scikit-Learn for optimized performance.

Highest-signal resume keywords

• AI Implementation


• Machine Learning Libraries


• Data Pipeline Development


• Natural Language Processing


• Data Integration

ATS Optimization Keywords

Hard Skills

• Python


• Java


• Machine Learning


• Data Analysis


• Data Engineering


• TensorFlow


• Scikit-Learn


• Natural Language Processing


• Data Pipeline Development


• Advanced Algorithms

Soft Skills

• Collaboration


• Mentoring


• Communication

Certifications & Qualifications

• Data Engineering Certifications


• Machine Learning Certifications


• Cloud Platform Certifications

Industry Keywords

• Analytics


• Data Science


• Artificial Intelligence


• Robotics


• Computer Science


• Information Systems


• Engineering

Tools & Technologies

• AWS


• Google Cloud


• Microsoft Azure


• Databricks


• Snowflake