Machine Learning Senior Engineer

V2

Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloom filed Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2

Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
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Only W2, No C2C - 4 Days Onsite at Dearborn, MI.

Skills Required:
Technical Communication, Communications, Google Cloud Platform, Tensor Flow, Data Governance, Machine Learning, Python, Artificial Intelligence & Expert Systems, Git Hub, Tekton, Docker, Jira, Microservices, Data Architecture, Agile Software Development, SQL, Java, Spark, Cloud Architecture, Apache Kafka, REST APIs
1. Technical Communication – This person will need to describe clearly the ML/AI Ops needs and strategy to colleagues potentially up to executives across a wide cross section of people from very knowledge to not technically knowledgeable in this area.
2. Communications – In addition to the technical communication needed, this person will need to be a great communicator to work with people in other organizations who are stakeholders and we need to work together and not have there be communication gaps
3. Google Cloud Platform – Deep knowledge of how to implement ML / AI Ops in the GCP Platform specifically is required
4. Tensor Flow – 5. Data Governance – This role will need to implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
6. Machine Learning – We need an ML Ops expert
7. Python – Some of the ML Ops pipeline will likely need to be setup using this code
8. Artificial Intelligence & Expert Systems – The ML Ops pipeline needs to be set up for AI Agentic Solutions in mind as well. 9. Git Hub – This is where our code will reside, so this is needed SEE 10 TO 21 IN ADDITION INFORMATION
Skills Preferred:
Telematics, Machine Learning, Data Modeling, Cloud Infrastructure, Data Mining, Database Design, Troubleshooting (Problem Solving), Labor Supervision
1. Telematics – Knowledge of this is nice, as some of our data will be Telematics data
2. Machine Learning – 3. Data Modeling – In order to understand how the data will interact with the ML Operations.
4. Cloud Infrastructure – 5. Data Mining – 6. Database Design – 7. Troubleshooting (Problem Solving) – 8. Labor Supervision – Will need to mentor and advise junior team members to spread ML Ops expertise across the organization
Experience Required:

• Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
• 4 years of professional experience in: o Data engineering, data product development and software product launches o At least three of the following languages:
Java, Python, Spark, Scala, SQL
• 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: o Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google Big Query. o Workflow orchestration tools like Airflow. o Relational Database Management System like MySQL, PostgreSQL, and SQL Server. o Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application.

o REST APIs for compute, storage, operations, and security. o Dev Ops tools such as Tekton, Git Hub Actions, Git, Git Hub, Terraform, Docker. o Project management tools like Atlassian JIRA. Even better if you have...
Experience Preferred:

• Ph.D. or foreign equivalent degree in Computer…