About the job
About CodeNinja
At CodeNinja, we pride ourselves on being a premier AI solutions provider dedicated to developing groundbreaking artificial intelligence technologies that enhance business performance. Our expertise lies in crafting, developing, and implementing AI and machine learning models, enabling businesses to tackle intricate problems and achieve significant value.
Role Overview:
We are on the hunt for a talented Artificial Intelligence/Machine Learning Engineer to become a vital member of our advanced technology team. In this position, you will be tasked with designing and developing AI/ML models, engaging in data processing, model training, and deployment, while working alongside cross-functional teams to create scalable AI-driven solutions customized to meet client demands.
Key Responsibilities:
- Design and implement machine learning models, algorithms, and AI solutions across diverse business sectors.
- Process, clean, and analyze substantial datasets to extract meaningful insights.
- Collaborate effectively with data scientists, engineers, and product managers to create comprehensive AI solutions.
- Deploy models in production settings while ensuring scalability, reliability, and optimal performance.
- Conduct research and adopt the latest AI/ML technologies and methodologies to enhance existing models.
- Document model architecture and processes, providing technical support for deployed AI systems.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related disciplines.
- Proficient programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch, and scikit-learn.
- Hands-on experience in data preprocessing, feature engineering, and exploratory data analysis.
- In-depth understanding of supervised and unsupervised learning, as well as deep learning algorithms.
- Demonstrated experience in training, assessing, and deploying ML models in production environments.
- Familiarity with cloud platforms and tools for AI/ML deployment (AWS, Azure, GCP).
- Strong problem-solving abilities and a capacity for collaboration within cross-functional teams.
- Exceptional communication skills to articulate technical concepts to stakeholders.
Preferred Qualifications:
- Experience with large language models (LLMs), NLP, or computer vision techniques.
- Knowledge of MLOps practices, continuous integration, and deployment pipelines.
- Experience in agile settings and with version control tools like Git.
Benefits:
- Provident Fund
- Gym Membership
- Leave as per company policy
- Company-sponsored trips
- Employee loan facility
- Annual salary increments
- Maternity benefits (leave & WFH)
- Health Insurance (including maternity coverage) – extends to spouse and parents (up to age 80)