Entry-Level AI & Machine Learning Engineer

Overview

Company Description

Flying Wedge Defence (FWD) is a pioneering deep tech defence company specializing in AI warfare, Autonomous Combat Aircraft, and UAV systems. With a mission to revolutionize air defence technologies, FWD develops innovative, efficient, and cost-effective solutions that enhance national security and minimize human casualties on the battlefield. Driven by its "Make in India & Export to the World" vision, FWD aims to establish itself as a global leader in cutting-edge defence technologies.

How to apply:

• Interested candidates are encouraged to complete the Google Form. Kindly note that only those who submit the form will be considered as applicants.
• Gform link: https://forms.gle/E5XywvZ6khvNAX5s8

Location: Bangalore

Job Type: Full-time

Job Description:

We are looking for a passionate and curious Entry-Level AI & Machine Learning Engineer to join our innovative team. You will work on designing, developing, and deploying AI and ML models that drive intelligent features and automation across our products and services, with a focus on object detection, tracking, and reinforcement learning applications.

Responsibilities:

·       Assist in developing machine learning models and algorithms for object detection, tracking, and reinforcement learning tasks

·        Analyse and pre-process large datasets, including annotated images and videos, for training and evaluation

·       Implement and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn

·       Collaborate with software engineers and data scientists to integrate models into production systems

·       Participate in research and experimentation to improve model accuracy, efficiency, and robustness

·       Document processes and maintain reproducible workflows

Requirements:

·       Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field

·       Strong foundation in Python and C++ programming for AI/ML development

·       Basic understanding of machine learning algorithms and data structures

·       Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn

·       Knowledge of computer vision techniques, especially object detection and tracking algorithms (e.g., YOLO, SSD, SORT, Deep SORT)

·       Basic understanding of reinforcement learning concepts and algorithms

·       Knowledge of data preprocessing, feature engineering, and model evaluation techniques

·       Analytical mindset with strong problem-solving skills

·       Eagerness to learn and adapt in a fast-paced environment

Preferred Qualifications:

·       Internship or project experience in AI/ML, computer vision, or reinforcement learning

·       Understanding of deep learning concepts and neural networks

·       Experience with cloud platforms (AWS, Azure, GCP) for ML deployment

·       Familiarity with NLP or other AI subfields is a plus