AI/ML/Gen AI Engineer

ascendion

Bengaluru (Bangalore) NM Years Exp Posted 71d ago

Develop end-to-end ML solutions including data preprocessing, model development, training, evaluation, and deployment.
Implement machine learning algorithms for classification, regression, clustering, recommendation systems, anomaly detection, or forecasting.
Collaborate with data engineering teams to build scalable ML pipelines and integrate models into production systems.
Conduct exploratory data analysis (EDA) and feature engineering to improve model performance.
Monitor and optimize models post-deployment for accuracy, latency, and efficiency.
Work with cross-functional stakeholders to translate business problems into data-driven solutions.
Utilize cloud platforms (AWS, GCP, Azure) for ML experimentation, training, and deployment.
Document methodologies, experiments, and model performance using reproducible practices.
Stay updated with advancements in machine learning, deep learning, and MLOps technologies.

Strong programming skills in Python and ML libraries (e.g., scikit-learn, Pandas, NumPy).
Experience with Deep Learning frameworks such as TensorFlow or PyTorch (as applicable).
Solid understanding of machine learning algorithms, statistical modeling, and model evaluation metrics.
Experience with SQL/NoSQL databases and handling large structured/unstructured datasets.
Familiarity with MLOps workflows (CI/CD, model deployment, monitoring, retraining).
Knowledge of data visualization tools (Matplotlib, Seaborn, Plotly).
Experience with cloud services (AWS, Azure, GCP) for ML workloads.
Strong problem-solving, analytical and communication skills.