Job description

Entry-Level Machine Learning (ML) Engineers needed to design and build intelligent systems that adapt to business needs. Machine learning engineers will be tasked with preparing datasets, prototyping ML models using PyTorch, TensorFlow, or sklearn, and deploying solutions to production systems on platforms such as AWS or Azure. You will collaborate with data scientists and business teams to automate core processes, optimize algorithms, monitor models, and document findings. Required Skills Applicants should demonstrate experience in Python, object-oriented programming, and machine learning libraries (PyTorch, TensorFlow, Keras). Understanding of software engineering fundamentals (Git, CI/CD), cloud platforms, and distributed data processing tools (PySpark, Databricks) is strongly desired. Attention to reproducibility, documentation, and ongoing model evaluation is favored. U.S. hiring managers particularly value evidence of real-world ML project delivery—whether through university capstone projects, Kaggle competitions, or industry internships. The ability to communicate machine learning insights to non-technical audiences is a significant plus. Eligibility All U.S.-authorized individuals—citizens, L2, H4 EAD, OPT/CTP, green card holders—are encouraged to apply. For Aspiring ML Engineers If your ML portfolio or cloud deployment skills are lacking, SynergisticIT's Job Placement Program provides intensive end-to-end Upskilling and real project immersion in AWS, Databricks, PyTorch, TensorFlow, and related stacks. Explore how it works through SynergisticIT’s YouTube events, deep-dive blog content, interview resources, and validation by USA Today. Java Job placement Program Data Science Job Placement Program for getting Hired Employer Reach Clients hiring SynergisticIT graduates range from Google, Microsoft, Amazon, Tesla, LinkedIn, Twitter, Facebook, T-Mobile, Walmart Labs, Capgemini, Infosys, SAP, to IBM and Dell. Program participants report outsized interview rates and $95K–$150K offers. Gain the ML expertise and employer access necessary for rapid career acceleration by partnering with SynergisticIT—the bridge between academic ML know-how and actual U.S. tech careers Remote Skills: Algorithms, Amazon Web Services (AWS), Blog, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Processing, Data Science, Documentation Models, EAD, Git, Java, Machine Learning, Microsoft Windows Azure, Object Oriented Programming (OOP), Process Improvement, Production Systems, Prototyping, Python Programming/Scripting Language, Software Engineering, Training Data Sets, YouTube About the Company: SynergisticIT

Requirements