Overview
Remote
On Site
Hybrid
BASED ON EXPERIENCE
Full Time
Accepts corp to corp applications
Skills
DATA LAKE
DATAWAREHOUSE
REPORTING
AI
ML
MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
LIFE SCIENCE
MANUFACURING
BFSI
ENERGY
UTILITIES
Job Details
- Total 14 to 15 Years of experience
- Relevant experience 6 to 7 Years
- Experience in solutions architecture or equivalent experience
- Experience in technical domains such as AI/ML, multimodal ML, model evaluation, MLOps, MLSecOps, ML training, inference, data engineering, data science, fine-tuning
- Manage and mentor a team of skilled data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders
- Take the lead in designing the AI architecture and selecting technologies from both open-source and commercial offerings.
- Knowing the workflow and pipeline architectures of ML and deep learning workloads, including the components and trade-offs across data management, governance, model building, deployment, and production workflows, is crucial.
- Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks).
- Experience in Estimation and Proposal creation
- Experience in Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Deep Neural Networks,..)
- Developing AI and ML models in real-world environments, and integrating AI and ML using cloud-native or hybrid technologies into large-scale enterprise applications.
- Experience in developing best practices for the ML life cycle, feature engineering, model management, MLOps, deployment, and monitoring.
- Knowledge and experience in working on Data Warehouse, Data Lake, and Reporting
- Experience in any 2 verticals (Life science, manufacturing, BFSI, Energy and Utilities) is desired
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