.. administrative tasks, communicating with team members, and providing excellent customer service.The job will pertain to defence sector only. Qualifications Typing speed and accuracy Computer literacy with knowledge of MS Office and other relevant software Administrative assistance skills such as organizing .. read more
Job description:
• As an AI/ML Software Engineer, you will play a pivotal role in developing and deploying
cutting-edge AI and machine learning solutions to solve complex problems in flexible
packaging machines and solutions.
• Algorithm Development: Develop, implement, and optimize machine learning
algorithms and models to address specific business needs, such as predictive analytics,
natural language processing, computer vision, recommendation systems, etc.
• Data Preprocessing and Feature Engineering: Clean, preprocess, and analyze large
datasets to extract relevant features and insights for model training. Collaborate with
data engineers to ensure data quality, consistency, and availability.
• Model Training and Evaluation: Build, train, and validate machine learning models using
state-of-the-art techniques and methodologies. Evaluate model performance, fine-tune
hyperparameters, and iterate to improve accuracy, efficiency, and scalability.
• Software Development: Design and implement scalable, maintainable, and efficient
software solutions to integrate machine learning models into production systems. Write
clean, modular code following best practices and coding standards.
Salary: Depends on the candidate current intake and caliber.
Required Qualifications:
• Degree in computer science, artificial intelligence, machine learning, or related field.
• Strong background in computer science, mathematics, statistics, or related fields.
• Proficiency in programming languages such as C#, Python or Java.
• Minimum 2 years of experience in developing and deploying AI/ML solutions in real[1]world applications.
• In-depth knowledge of machine learning algorithms, deep learning architectures, and
statistical techniques.
• Hands-on experience with machine learning frameworks and libraries such as
TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with basic computer vision techniques, such as image processing, feature
extraction, object detection, and image classification.
• Experience with computer vision libraries and tools, such as OpenCV, Dlib, or MATLAB's
Computer Vision Toolbox.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and teamwork abilities, with the capacity to work
collaboratively in a fast-paced environment.
Preferable Qualifications:
• Knowledge of software engineering principles, design patterns, and agile
methodologies.
• Experience with version control systems (e.g., Gitlab) and continuous
integration/continuous deployment (CI/CD) pipelines.
• Familiarity with natural language processing (NLP), computer vision, or other
specialized domains within AI/ML