AI Architect
4 weeks ago
Job Title: AI Architect
Job Summary:
We are seeking a highly skilled AI Architect to lead the design and implementation of AI/ML/NLP/Computer Vision and MLOps solutions across our team of Data Scientists, Data Engineers, ML Engineers, Cloud, Analytics, DevOps, and Visualization teams.
Key Responsibilities:
- Lead the architecture, design, and implementation of AI/ML/NLP/Computer Vision and MLOps solutions.
- Collaborate with cross-functional teams to analyze complex problems and translate them into data science algorithms.
- Authoritative experience in the field of Data Science to influence stakeholders across varied work streams and geographical locations.
- Experience in machine learning, supervised and unsupervised, including forecasting, classification, data/text mining, NLP, search algorithms, and deep learning algorithms.
- Experience in using MLOps frameworks like Kubeflow, MLFlow, Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
- Experience with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools.
- Exposure to deep learning approaches and modeling frameworks (PyTorch, TensorFlow, Keras, etc.).
- Experience in frameworks to depict interpretability of models using libraries like Lime, Shap, etc.
- Experience working with big data, identifying trends, patterns, and outliers in large volumes of data.
- Strong implementation experience with Python, and familiarity with Linux/Unix/Shell environments.
- Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platforms.
- Experience with Hive/Spark/Teradata and NoSQL databases.
- Experience in using code versioning tools like Git, BitBucket; building CI/CD pipelines for ML projects.
- Experience in productionizing ML models in any of the cloud platforms - AWS/GCP/Azure.
- Good to have experience in building automated/semi-automated model retraining pipelines.
- Superior verbal, visual, and written communication skills to educate and work with cross-functional teams on controlled experiments.
- Candidates with prior publications in the field of Data Science are highly preferred.
- Tech-savvy and willing to work with open-source tools.
- Willingness to learn IoT, Edge AI, and keep up to date with technologies.
- Good to have previous whitepaper submissions and IP filings.
Qualifications:
BE, MCA, BTech, or MTech
Additional Information:
10+ Years
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