Machine Learning Engineer

Job Title

Location

About Us:

Evigway Technologies is a leading firm specializing in AI & GIS technologies, Space applications, and Military ISR. We work with esteemed organizations such as the Indian Army, ISRO, DRDO, and partners in the US, EU and Middle East. Join our team to gain ce in a fast-paced, cutting-edge technological environment.

Job Summary

We are seeking a skilled and experienced Machine Learning Engineer to join our team in Hyderabad. The ideal candidate will have 3 years of experience in developing and deploying machine learning models, with a strong understanding of data analysis, algorithm design, and real-time systems This role provides an exciting opportunity to work on advanced projects involving AI/ML and its applications in high-tech domains.

Key Responsibilities

• Design, develop, and deploy machine learning models for real-world applications.
• Perform data preprocessing, feature engineering, and data visualization to support model development.
• Develop scalable and efficient ML pipelines for training and inference.
• Collaborate with cross-functional teams to integrate ML models into larger systems.
• Research and implement state-of-the-art ML algorithms and techniques.
• Optimize models for performance, scalability, and low-latency inference.
• Document model development processes, experiments, and performance benchmarks.
• Stay updated on advancements in AI/ML technologies and their applications in Electronic Warfare.
• Participate in system testing, validation, and troubleshooting in both lab and field environments.

Required Qualifications

• Bachelor's degree in computer science, Data Science, Machine Learning, or a related field.
• 3+ years of experience in machine learning model development and deployment.
• Proficiency in Python, R, or other programming languages used in ML.
• Strong knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Excellent problem-solving skills and ability to work with large datasets.

Preferred Qualifications

• Knowledge or experience in working with large ML custom datasets and creation of customized models as needed.
• Proficiency in version control systems such as Git, including experience with branching, merging, and repository management.
• Experience with federated learning, edge AI, or real-time ML systems.
• Exposure to defense or aerospace projects and standards.
• Familiarity with cloud platforms and tools for ML deployment (e.g., AWS, Azure, Google Cloud).
• Understanding of adversarial machine learning or AI-based countermeasures.