Artificial Intelligence Specialist

Hi,

We are looking for Artifical interligence professional, please find details below if interested kindly share your CV.

Exp: 13+yrs

Location:

Mumbai/Hyderabad

Education:

BE/BTEch/ME/MTech

- Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques.
- Proficiency in Python, PyTorch, Tensor Flow.
- Good to have knowledge of Bayesian inference, probability distribution, hypothesis testing, A/B testing, and time series forecasting.
- Hands-on experience with feature engineering and hyperparameter tuning.

- Experience with MLflow, Weights & Biases, DVC (Data Version Control).
- Ability to track model performance across multiple experiments and datasets.
- End-to-end ML lifecycle management from Data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring.
- Expertise in CI/CD for ML, containerization (Docker, Kubernetes), and orchestration (Kubeflow).
- Good to have experience in automating data labelling and feature stores (Feast).
- Good to have data processing experience in Spark, Flink, Druid, Nifi.
- Good to have real-time data streaming in Kafka and other messaging systems
- Designing and optimizing data pipelines for structured data.
- Good to have hands-on experience with Pyspark.
- Strong SQL skills for data extraction, transformation, and query optimization.
- Atleast one database experience such as NOSQL database.
- Implementing parallel and distributed ML techniques for large-scale systems.
- Good to have knowledge of model explainability (SHAP, LIME), bias mitigation, and adversarial robustness.
- Experience in model drift monitoring.
- Good to have CUDA for GPU acceleration.
- Good to have choosing between CPU/GPU for different ML workloads (batch inference on CPU, training on GPU).
- Good to have scaling deep learning models on multi-GPU.
- Strong presentation skills, including data storytelling, visualization (Matplotlib, Seaborn, Superset), and report writing.
- Experience in mentoring data scientists, research associates, and data engineers.
- Contributions to research papers, patents, or open-source projects.