V2Soft ([www.v2soft.com**) is a global company, headquartered out of Bloomfield Hills, Michigan, with locations in Mexico, Italy, India, China and Germany. At V2Soft, our mission is to provide high performance technology solutions to solve real business problems. We become our customer's true partner, enabling both parties to enjoy success. We are committed to promoting diversity in the workplace, and believe it has a positive effect on our company and the customers we serve.

　　Description:Go-to-marketing-modeling (GTMM) team within NASA of Client Global Data, Insight and Analytics (GDI&A) organization is looking for a highly skilled Machine Learning Engineer to assist in all levels of problem formulation, model development, evaluation, and deployment. NASA(North America Sales Analytics) is a cross-functional team within client that focuses on market demand sensing/analysis, new/used car price/sales analysis and forecast (short to mid-term), business plan (mid to long term) analysis etc.. GTMM team applies advanced machine learning models and systematic econometrics models to solve a wide variety of challenging problems in automotive sales/ incentive/ price/inventory/ production planning, evaluation, and optimization to help business make relevant and optimal decisions

　　Key Responsibilities: **](http://www.v2soft.com)

　　Design, develop, and deploy machine learning models and algorithms.Collaborate with data engineers to design and maintain scalable data pipelines.Conduct data preprocessing, including collection, cleaning, and feature engineering.Implement machine learning models and monitor their performance.Stay updated with the latest trends and advancements in AI and machine learning.Collaborate with cross-functional teams to understand business requirements and provide AI/ML solutions.Develop tools and processes to monitor and analyze model performance and data accuracy.Experience Required:

　　1+ years of post-graduate experience in machine learning, data science, or a related field.Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).Experience with data modeling, data architecture, and ETL processes.Strong understanding of machine learning algorithms and principles.Excellent problem-solving and analytical skills.Ability to work in a fast-paced, team-oriented environment.Experience Preferred:

　　Experience with cloud platforms (e.g., AWS, Azure, GCP).Knowledge of containerization technologies (e.g., Docker, Kubernetes).Familiarity with DevOps and MLOps practices.Experience with demand forecast and pricing strategyEducation Required:

　　Master's degree in Computer Science, Engineering, Mathematics, Statistics or a related field.Education Preferred:

　　Ph.D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics or a related field.V2Soft is an Equal Opportunity Employer ( EOE).https://www.v2soft.com/careers - to view all of our open opportunit