IN_Senior Associate_AL/ML Developer _D&A_Advisory _Bangalore

Job Description & Summary: A career within….

Responsibilities:

• Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions. • Proficiency in Python/PySpark for AI development, data preprocessing, and scripting. • Strong understanding of core machine learning and statistical concepts — including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization. • Hands-on experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision. • Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers. • Familiarity with deep learning architectures — CNNs, RNNs, Transformers — and use cases in NLP, CV, and recommendation systems. • Experience with data preprocessing, feature selection, model evaluation, and hyperparameter tuning techniques. • Ability to design and deploy scalable ML pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable. • Familiarity with API development, microservices, and integrating ML models into enterprise applications.

• Understanding of data security, governance, and cost optimization in cloud-based AI environments. • Experience in AWS AI and ML services, including SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch, for model deployment and orchestration. • Ability to work with containerization tools (Docker, Kubernetes) for deploying ML workloads.

Mandatory skill sets:

ML & Azure/AWS

Preferred skill sets:

MLOps frameworks (MLflow, Kubeflow, or Vertex AI Pipelines).

Years of experience required:

4 – 7 yrs

Education qualification:

Btech/MBA/MCA