AI Engineer

TechDigital Group; United States; On-site; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to design and implement innovative solutions using cutting-edge Google products. In this dynamic role, you'll collaborate with clients to identify opportunities for machine learning integration, delivering tailored solutions that empower businesses. You'll be at the forefront of technology, guiding customers through complex challenges and sharing best practices. This position offers a unique chance to work closely with product teams, ensuring excellence in product delivery while enhancing your technical consulting skills. If you are passionate about leveraging machine learning to drive business success, this is the opportunity for you!

Qualifications

• Hands-on experience building machine learning solutions is essential.
• Experience coding in languages like Python, Scala, or Java is required.

Responsibilities

• Design and implement machine learning solutions for various customer use cases.
• Be a trusted technical advisor and solve complex Machine Learning challenges.

Skills

Machine Learning

Python

Scala

Java

Go

Data Structures

Algorithms

Software Design

Technical Consulting

Education

Bachelor degree in Computer Science

Bachelor degree in Mathematics

Equivalent practical experience

Tools

TensorFlow

DataFlow

Vertex AI

Apache Beam

Hadoop

Spark

Pig

Hive

MapReduce

Flume

Job description

Role:

1. Design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
2. Work with customers to identify opportunities to apply machine learning in their business, deploy solutions and deliver workshops to educate and empower customers.
3. Work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
4. Support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Responsibilities:

1. Be a trusted technical advisor to customers and solve complex Machine Learning challenges.
2. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
3. Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
4. Coach customers on the practical challenges in Client systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.

Minimum Qualifications:

1. Bachelor degree in Computer Science, Mathematics or a related technical field or equivalent practical experience.
2. Hands-on experience building machine learning solutions.
3. Experience coding in one or more languages such as Python, Scala, Java, Go, or similar with strong competencies in data structures, algorithms, and software design.
4. Experience working with technical customers.

Preferred Qualifications:

1. A solid understanding of the auxiliary practical concerns in production Client systems.
2. Experience working with recommendation engines, data pipelines, or distributed machine learning.
3. Experience with deep learning frameworks (such as Tensorflow, pyTorch, XGBoost).
4. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
5. Relevant experience in technical consulting.