machine learning engineer - Erlanger, United States - ADM

ADM Erlanger, United States

Found in: Lensa US 4 C2 - 3 days ago

Description

The right candidate will have a passion for building complete engineering solutions supporting the latest advances in artificial technology
5+ years of professional industry experience as a ML Engineer, Data Scientist, or Software Engineer with a focus on building production data/ML products
Demonstrated success across the entire ML lifecycle including feature engineering, model development, model deployment, & model maintenance
Demonstratable knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Demonstrated good working knowledge of cloud computing
Experience designing, developing and shipping web based frontend clients
Good problem solving, debugging, collaboration and communication skills
Experience optimizing experiences for performance and accessibility
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational (NoSQL) databases, web services and RESTful concepts
Understanding of data structures, data modeling and software architecture
Experience with very large-scale data processing/analysis (a.k.a
Experience with Azure cloud services
Ability to work independently to actively identify and drive solutions for evolving business problems
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python and R
Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts
A drive to learn and master new technologies and techniques
Creative, proactive, bold and out-of-box thinking
MS or PhD in Engineering, Statistics, Applied Mathematics, Computer Science, or other technical discipline
If you've been in your current position for more than 18 months, supervisor approval is not required
Responsibilities

This position will partner with many business, product and science teams, so written and in-person communication skills are extremely important.

Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Design, build and run services at high scale and availability
Run machine learning tests and experiments
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Demonstrates strong business acumen and understanding of manufacturing and finance concepts
Adept at quickly acquiring software skills
Evaluate new AI & software tools through POCs and propose solutions for implementation
Document guides, systems design, reference architectures and implementations
Qualifications

The right candidate will have a passion for building complete engineering solutions supporting the latest advances in artificial technology
5+ years of professional industry experience as a ML Engineer, Data Scientist, or Software Engineer with a focus on building production data/ML products
Demonstrated success across the entire ML lifecycle including feature engineering, model development, model deployment, & model maintenance
Demonstratable knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Demonstrated good working knowledge of cloud computing
Experience designing, developing and shipping web based frontend clients
Proficiency in web technology stacks, UI patterns, React, JavaScript, Typescript
Good problem solving, debugging, collaboration and communication skills
Experience optimizing experiences for performance and accessibility
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational (NoSQL) databases, web services and RESTful concepts
Understanding of data structures, data modeling and software architecture
Experience with very large-scale data processing/analysis (a.k.a
Experience with Azure cloud services
Ability to work independently to actively identify and drive solutions for evolving business problems
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python and R
Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts
A drive to learn and master new technologies and techniques
Creative, proactive, bold and out-of-box thinking
MS or PhD in Engineering, Statistics, Applied Mathematics, Computer Science, or other technical discipline
If you've been in your current position for more than 18 months, supervisor approval is not required
Responsibilities

This position will partner with many business, product and science teams, so written and in-person communication skills are extremely important.

We're looking for a Machine Learning Engineer to join our Artificial Intelligence team and work with our team of data scientists to automate thetraining and evaluationofmodels within an Azure ecosystem.

This position will partner with many business, product and science teams, so written and in-person communication skills are extremely important.

They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for building complete engineering solutions supporting the latest advances in artificial technology.

We have many different functions in the team, and this role requires a broad range of skills such as machine learning, data, optimization, and platform/infrastructure engineering.

Key Responsibilities:

Study and transform data science prototypes
Design machine learning systems
Research and implement appropriate ML algorithms and tools
Design, build and run services at high scale and availability
Run machine learning tests and experiments
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Demonstrates strong business acumen and understanding of manufacturing and finance concepts
Adept at quickly acquiring software skills
Evaluate new AI & software tools through POCs and propose solutions for implementation
Document guides, systems design, reference architectures and implementations

Standard Job Requirements:

5+ years of professional industry experience as a ML Engineer, Data Scientist, or Software Engineer with a focus on building production data/ML products
Demonstrated success across the entire ML lifecycle including feature engineering, model development, model deployment, & model maintenance
Demonstratable knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Demonstrated good working knowledge of cloud computing
Experience designing, developing and shipping web based frontend clients
Proficiency in web technology stacks, UI patterns, React, JavaScript, Typescript
Good problem solving, debugging, collaboration and communication skills
Experience optimizing experiences for performance and accessibility
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational (NoSQL) databases, web services and RESTful concepts
Understanding of data structures, data modeling and software architecture
Experience with very large-scale data processing/analysis (a.k.a. Big Data)
Experience with Azure cloud services
Ability to work independently to actively identify and drive solutions for evolving business problems
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python and R
Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts
A drive to learn and master new technologies and techniques
Creative, proactive, bold and out-of-box thinking

Educational Requirements:

MS or PhD in Engineering, Statistics, Applied Mathematics, Computer Science, or other technical discipline

ADM is an EOE for minorities, females, protected veterans and individuals with a disability.

Before applying for an exempt, non-exempt or hourly job opportunity, you are expected to initiate a discussion and share your intentions with your supervisor.

If you've been in your current position for more than 18 months, supervisor approval is not required.
If you've been in your current position for less than 18 months, verbal supervisor approval is required

Company information
ADM unlocks the power of nature to enrich the quality of life. We're a premier global human and animal nutrition company, delivering solutions today with an eye to the future. We're blazing new trails in health and well-being as our scientists develop groundbreaking products to support healthier living.

We're a cutting-edge innovator leading the way to a new future of plant-based consumer and industrial solutions to replace petroleum-based products.

We're an unmatched agricultural supply chain manager and processor, providing food security by connecting local needs with global capabilities.

And we're a leader in sustainability, scaling across entire value chains to help decarbonize our industry and safeguard our planet.

From the seed of the idea to the outcome of the solution, we give customers an edge in solving the nutritional and sustainability challenges of today and tomorrow.

Learn more at

Company Specialties:
Food ingredients, Trading, Oilseeds, Soybean, Corn, Food, Beverages, Nutrition, Animal Nutrition, Health and Wellness, Food Science, Logistics, Innovation, Sustainable Materials, Farmer Services, Plant-based Protein, Flavors, Solutions, Human Nutrition, and Supply Chain

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