- Company Name
- Shrive Technologies
- Job Title
- AI/ML Solutions Architect (MySQL)
- Job Description
-
**Job Title**
AI/ML Solutions Architect (MySQL)
**Role Summary**
Design, architect, and lead the delivery of end‑to‑end AI/ML solutions that integrate modern data platforms and machine learning frameworks. Deliver scalable model deployment, robust data pipelines, and architecture standards that align with business objectives. Mentor a cross‑functional team and advocate best practices in AI/ML engineering.
**Expectations**
* Deliver high‑quality AI/ML solutions within time and budget constraints.
* Maintain technical leadership and ensure architectural consistency across projects.
* Communicate complex technical concepts clearly to stakeholders at all levels.
* Continually evaluate emerging technologies to keep solutions competitive.
**Key Responsibilities**
* Architect end‑to‑end AI/ML pipelines using Python, TensorFlow, PyTorch, scikit‑learn, and MLOps tools.
* Design and implement distributed data processing with Apache Spark and Kafka for real‑time and batch workflows.
* Build data pipelines and feature‑engineering workflows with Pandas, NumPy, and Apache Airflow.
* Develop, validate, and deploy models for NLP, deep learning, and time‑series forecasting using XGBoost, LightGBM, etc.
* Define architecture standards for model storage, versioning, reproducibility using MySQL, PostgreSQL, and Databricks.
* Mentor team members, providing guidance on AI/ML best practices and emerging technologies.
* Translate business requirements into technical specifications and collaborate with stakeholders.
* Evaluate and integrate new tools/technologies to meet evolving client needs.
* Design and implement RESTful APIs to integrate AI/ML components with external systems.
**Required Skills**
* Proficiency in Python, Java, and SQL.
* Strong experience with TensorFlow, PyTorch, scikit‑learn, XGBoost, LightGBM.
* Hands‑on with Spark, Kafka, Airflow, Pandas, NumPy.
* Knowledge of MySQL, PostgreSQL, Databricks.
* Experience with Prometheus, Grafana, Splunk, AppDynamics.
* Familiarity with MongoDB, Ab Initio, Teradata, Informatica.
* Excellent estimation, sizing, solutioning, and design capabilities.
* Strong written and verbal communication.
**Required Education & Certifications**
* Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
* Professional certifications in AI/ML, Data Engineering, or Cloud platforms (e.g., AWS Certified Machine Learning, GCP Professional Data Engineer, Azure AI Engineer) are preferred.