AI/ML

Experience Required

2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets

Domain Experience (Functional)

Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus.

Qualification

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field

Roles & Responsibilities

Design, develop, and deploy machine learning and deep learning models.
Collaborate with data engineers and domain experts to collect, clean, and preprocess data.
Conduct experiments, evaluate model performance, and iterate for improvement.

Integrate AI models into production systems and monitor their performance.
Stay updated with the latest research and advancements in AI/ML.
Document model development processes and contribute to knowledge sharing.

Technical Skills

Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn.
Strong with Pandas, NumPy for data handling.
Solid grasp of ML algorithms, statistics, and model evaluation.
Familiar with cloud platforms (AWS/Azure/GCP).
Experience with Git and basic CI/CD for model deployment