Design, develop, and deploy machine learning and deep learning models for business-critical applications.
Build end-to-end AI/ML pipelines, from data collection and preprocessing to model training, validation, deployment, and monitoring.
Develop predictive analytics, recommendation engines, NLP solutions, computer vision models, and generative AI applications.
Collaborate with business stakeholders, product managers, data engineers, and software development teams to define AI use cases and technical requirements.
Optimize model performance, scalability, accuracy, and reliability.
Implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management.
Perform feature engineering, model evaluation, hyperparameter tuning, and performance benchmarking.
Develop APIs and microservices to integrate AI models into production systems.
Work with large datasets and distributed computing frameworks for model training and inference.
Stay updated with advancements in AI, machine learning, large language models (LLMs), and emerging technologies.
Document technical designs, model architectures, and deployment processes.
Mentor junior team members and contribute to AI/ML best practices across the organization.
Required Skills &
Qualifications :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field.
5-10 years of experience in AI, Machine Learning, Data Science, or related domains.
Strong programming skills in Python.
Extensive experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, Keras, or XGBoost.
Strong understanding of supervised and unsupervised learning algorithms.
Experience with deep learning architectures including CNNs, RNNs, LSTMs, and Transformers.
Expertise in data preprocessing, feature engineering, and model evaluation techniques.
Strong knowledge of statistics, probability, and mathematical foundations of machine learning.
Experience working with SQL and large-scale datasets.
Knowledge of software engineering principles, version control, and code optimization.
Srivango Technologies