AI Engineer/Data Scientist II

Honeywell International • Atlanta, GA

104d

About The Position

Honeywell Connected Enterprise (HCE) is a significant business segment of Honeywell International Inc., focusing on providing innovative software solutions that enhance operational efficiency and drive digital transformation across various industries. HCE leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability. Key functions and offerings of Honeywell Connected Enterprise include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing. We're looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning. As a AI Engineer/ Data Scientist II, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions. You will work closely with data scientists and data engineers, application architects to integrate results into operational platforms.

Requirements

• Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field.
• Minimum of 2 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
• Minimum of 2 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
• Minimum of 2 years of experience with distributed storage and compute tools (e.g. Spark).
• Minimum of 2 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.).
• Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras.
• Minimum of 2 years' experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs.

Nice To Haves

• Master's degree in computer science, Engineering, Applied Mathematics or related STEM field.
• PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field.
• Experience with MLOPS best practices and implementations.
• Experience with LLM and Natural Language Processing models.
• Experience working with remote and global teams.
• Results driven with a positive can-do attitude.

Responsibilities

• Design, develop, and implement data driven solutions for all Honeywell business groups and functions.
• Work closely with data scientists and data engineers, application architects to integrate results into operational platforms.
• Build and deploy innovative AI/ML models and solutions that generate new business growth and value.
• Recommend innovative solutions using various data science methods including hypothesis testing.
• Define the data acquisition strategy when required.
• Participate in defining and governing the analytics strategy for Honeywell.
• Build out AI/ML capabilities of the Forge platform and promote data science methods and processes across functions.

Benefits

• Employer subsidized Medical, Dental, Vision, and Life Insurance.
• Short-Term and Long-Term Disability.
• 401(k) match.
• Flexible Spending Accounts.
• Health Savings Accounts.
• EAP and Educational Assistance.
• Parental Leave.
• Paid Time Off (for vacation, personal business, sick time, and parental leave).
• 12 Paid Holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Machinery Manufacturing
• Education Level: Bachelor's degree