Job Description – AI/ML Engineer

About the Role

We are looking for a motivated and technically skilled AI/ML Engineer to join our technology team. The candidate will be responsible for developing, training, testing, deploying, and maintaining Artificial Intelligence and Machine Learning models and integrating them into real-world software applications.

The ideal candidate should have strong programming skills, a good understanding of Machine Learning concepts, and an interest in developing AI-powered solutions.

Key Responsibilities

- Develop, train, test, and deploy Machine Learning and AI models for business and application requirements.
- Collect, clean, pre-process, and analyse structured and unstructured datasets.
- Design and implement ML algorithms for classification, prediction, recommendation, clustering, and other business use cases.
- Work with Python and ML libraries/frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Perform feature engineering, model evaluation, hyperparameter tuning, and optimization.
- Develop and integrate AI/ML models into web and mobile applications through APIs and backend services.
- Work with NLP, Computer Vision, Generative AI, or other AI technologies as required by projects.
- Explore and implement LLM, Generative AI, and AI automation solutions where applicable.




- Monitor model performance and improve models based on accuracy, scalability, and business requirements.
- Collaborate with developers, UI/UX designers, QA teams, and project managers to deliver AI-enabled applications.
- Conduct research on emerging AI/ML technologies and identify opportunities to improve existing products and processes.
- Write clean, maintainable, and well-documented code.
- Troubleshoot technical issues related to data, models, APIs, and deployment.
- Maintain proper documentation of models, datasets, experiments, and implementation processes.

Required Skills

- Strong knowledge of Python programming.
- Solid understanding of OpenCV and OCR.
- Good understanding of Machine Learning concepts and algorithms.
- Experience with libraries such as NumPy, Pandas, Scikit-learn.
- Knowledge of TensorFlow, PyTorch, or similar ML frameworks.
- Understanding of data pre-processing, feature engineering, model training, and evaluation.
- Basic knowledge of SQL and databases.
- Understanding of REST APIs and integration of ML models with applications.
- Familiarity with Git/GitHub and software development practices.
- Good analytical and problem-solving skills.

Benefits:

- Leave encashment
- Provident Fund

Work Location: In person

📌 AI/ML Engineer (Pitam Pura)
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