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Machine Learning Engineer

V2Soft

Dearborn, MI

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Business Solutions, Capability Maturity Model Integration (CMMI), Cloud Computing, Community Support, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Science, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Deep Learning, Docker, Fortune 500 Customers, GCP (Good Clinical Practices), ISO (International Organization for Standardization), Machine Learning, Nonprofit, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Semantic Search, Software Engineering, Systems Scalability, Technical Leadership, Technical Recruiting, Testing
LOCATION
Dearborn, MI
POSTED
4 days ago
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled 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, V2Soft 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!
Please visit us at www.v2soft.com  to know more . 



 Onsite Role - No C2C, Only W2

Skills Required:
Python, Machine Learning, Data Science, GCP, Big Query
Experience Required:
Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development Experience designing and implementing Agentic AI solutions, multi-step workflows, autonomous agents, and tool-calling architectures. Experience with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar technologies. Hands-on experience with MLOps tools and platforms including MLflow, Airflow, Vertex AI, SageMaker, Kubeflow, or equivalent solutions. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and semantic search architectures. Experience working with enterprise-scale data environments, data lakes, and large datasets. Experience optimizing AI systems for scalability, performance, reliability, and cost efficiency. Experience building AI-powered products, dashboards, analytics solutions, or intelligent automation platforms.
Education Required:
Bachelor's Degree
Additional Information:
4 days in the office Python (advanced), SQL Machine Learning & Deep Learning LLMs, Prompt Engineering, RAG, Embeddings Agentic AI / AI Agents / Tool Calling Vector Databases ML Frameworks: Scikit-learn, TensorFlow, PyTorch MLOps: MLflow, Airflow, CI/CD, model deployment & monitoring Cloud: AWS or GCP Docker, Kubernetes API development (FastAPI / Flask) Data pipelines (ETL), data lakes/warehouses Strong system design & production AI experience
 
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.  

About the Company

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V2Soft

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