Machine Learning Engineer
Quick Summary
QuantumEdge Systems is seeking a Machine Learning Engineer to design, train, and deploy scalable machine learning models that power intelligent applications. The role is well suited for candidates at the entry or early-mid career stage who are eager to gain practical experience in production environments, while also welcoming more seasoned applicants who want to contribute their expertise to a fast-growing technology company.
Project Category or Industry
Artificial Intelligence, machine learning, and data-driven technology solutions.
Type
Full-time employment.
Experience Level
Primarily entry to mid level, with strong development programs for freshers, but also open to candidates with more advanced experience.
Duration
Permanent and long-term.
Location
Hybrid, with remote flexibility. Candidates should be able to attend monthly office visits in New York. A four-hour overlap with Eastern Standard Time is preferred.
Salary
USD 85,000–110,000 annually depending on experience, plus performance-based incentives, stock options, and comprehensive benefits.
Payment Mode
Monthly salary with quarterly performance bonuses.
Hiring Company Name
QuantumEdge Systems.
Required Skills or Tools
Candidates should demonstrate strong skills in Python, TensorFlow or PyTorch, and modern ML frameworks. Knowledge of SQL, distributed systems, and cloud platforms such as AWS or GCP is preferred. A solid grasp of statistics, linear algebra, and optimization principles is necessary, along with a strong aptitude for writing clean, production-level code.
Project Description
The role focuses on building, training, and deploying models that support the company’s suite of intelligent systems, ranging from predictive analytics to recommendation engines. The engineer will work closely with cross-functional teams to integrate machine learning solutions into customer-facing products and backend infrastructure.
Core Responsibilities and Expected Deliverables
The successful candidate will be responsible for designing pipelines to process large-scale data, developing algorithms that solve real-world business challenges, and fine-tuning models for production performance. Deliverables include well-tested code, robust ML pipelines, reproducible experiments, clear documentation, and regular performance reports that track business impact.
Required Experience and Preferred Qualifications
A bachelor’s degree in computer science, engineering, data science, or a related field is required. Prior project experience in applying ML algorithms to solve practical problems is expected, whether through internships, academic research, or prior employment. A master’s degree or certifications in deep learning, cloud technologies, or data engineering are considered an advantage.
Tools or Platforms to Be Used
Python with TensorFlow, PyTorch, and Scikit-learn, SQL databases, version control with Git, containerization with Docker, orchestration with Kubernetes, and deployment on AWS or GCP. Familiarity with MLflow or similar experiment tracking systems is also useful.
Language Requirement
English is required for both verbal and written communication.
Communication Style
Collaboration is managed through Slack and Zoom for daily interactions, with Jira for project tracking and email for formal updates.
Time Commitment or Working Window
The position requires a 40-hour work week, with flexibility in working hours as long as there is sufficient overlap with the New York office schedule.
Payment Terms
Compensation is structured as a fixed monthly salary, with additional quarterly bonuses tied to measurable contributions and performance outcomes.
Evaluation Criteria
Candidates will be assessed on their technical test performance, the quality of their code samples, their ability to explain ML concepts clearly, and their capacity to collaborate effectively during interviews. Strong problem-solving and creativity in applying ML to business needs will weigh heavily in evaluations.
Other Requirements
Employees will be required to sign a confidentiality and intellectual property agreement. Time-tracking tools will be used for project management, and regular code reviews will form part of the quality assurance process.
About the Company
QuantumEdge Systems is a technology company specializing in the design and deployment of AI-powered solutions for enterprise and consumer applications. Founded in New York, the company operates globally, supporting clients in finance, healthcare, retail, and logistics. Its mission is to harness machine learning to create efficient, secure, and user-friendly solutions that drive measurable results. With a growing team of engineers, researchers, and business leaders, QuantumEdge Systems is expanding its innovation portfolio while maintaining a culture of collaboration and professional growth. To learn more, visit https://quantumedgesystems.com or contact careers@quantumedgesystems.com.