Skills

Communication Python Java Apache Spark Apache Airflow MySQL MongoDB PostgreSQL Splunk Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning apache Numpy Pandas Spark Databricks Kafka Prometheus Grafana NLP

Job Specifications

Skills: Python, Java, AppD, Splunk, MongoDB, Prometheus, Grafana, Ab Initio/Teradata/Informatica working knowledge. Strong estimation/sizing, solutioning, design skills. Excellent communication skills. Job Summary

This role is responsible for architecting and designing advanced AI/ML solutions that leverage modern data platforms and machine learning frameworks. The individual will drive technical strategy, oversee solution delivery, and ensure alignment with business objectives by integrating scalable machine learning models and robust data pipelines. They will provide expert guidance to the team, foster innovation, and champion best practices in AI/ML engineering. (1.) Key Responsibilities

Architect end-to-end AI/ML solutions using Python, TensorFlow, PyTorch, and scikit-learn, ensuring scalable model deployment and integration with enterprise systems.
Design and implement distributed data processing workflows with Apache Spark and Kafka to support real-time and batch ML model operations.
Develop robust data pipelines and feature engineering processes using pandas, NumPy, and Apache Airflow to optimize model performance and data quality.
Oversee the development and validation of machine learning models for NLP, deep learning, and time series forecasting, applying advanced techniques and frameworks such as XGBoost and LightGBM.
Define and enforce architectural standards for model storage, versioning, and reproducibility using MySQL, PostgreSQL, and DataBricks.
Mentor team members on AI/ML best practices and emerging technologies, ensuring continuous skill enhancement and technical excellence.
Collaborate with internal stakeholders to gather requirements and translate business needs into technical specifications for AI/ML solutions.
Evaluate and integrate new tools and technologies to maintain solution relevance and meet evolving client requirements.
Architect and implement RESTful API integrations to enable seamless communication between AI/ML components and external systems, ensuring scalable, secure, and efficient data exchange across diverse enterprise

About the Company

At Shrive Technologies, we are obsessed with technology. Its power to change everything. Technology fuels our passion and commitment to helping organizations do what they set out. When we engage, we bring fresh ideas that help you galvanize your performance. Refine your strategy. Spark new energy. The future--and how we get there--depends on those who build, connect, create, and transform our world. The most successful and innovative businesses are already doing it, and we are skilled experts at bringing in the teams and sup... Know more