** Urgent **Data Engineer / MLops/GCP/Pyspark/SQL/Bigdata /3+Years of Experience

About Senzcraft:

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process for the Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies. Please visit our website - https://www.senzcraft.com for more details

Our AI Operations SaaS platform – https://MagicOps.ai Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft

Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

Job Description:

Role: Data Engineer Experience:3-5 Years Location: Bangalore (Hybrid)

About the Role This is for an AI/ML Engineer role in AI/ML Lowes forecasting platform. Build and maintain data ingestion, transformation, and feature engineering pipelines to support model training and inference Build and Maintain systems to power AI/ML model experimentation, testing, and deployment phases. Implement & manage Orchestration systems for AI/ML models & Data Pipelines, Optimize models & pipelines. Collaborating with Data Scientists to build the data preprocessing, feature engineering & post processing jobs to ensure that the data used for training the models is of high quality & ready. Collaborating with the Business and Product teams to deliver analytics and reports. Supports the implementation of security and compliance measures within the AI/ML development process, aligning with company policies and industry regulations. Keeps relevant with the latest technologies and frameworks in AI, suggesting improvements and updates to existing systems

Job Description

Skills :

· Experience with Data engineering & building Data/ML pipelines for AI/ML Models & business analytics & insights. · Experience in applications powered by AI/ML with large dataset · Experience working with ML Operations tools . · Hands-on experience & proficiency in building robust, reliable & scalable Data/ML pipelines for Analytics & AI/ML systems, working with large sets of structured and unstructured data from disparate sources · MLOps tools and frameworks such as MLflow, Kubeflow or Vertex AI · Foundational understanding of ML models · Strong understanding of cloud platforms (AWS, Azure, or GCP) · Experience managing model registry and implementing versioning best practices. · Model Serving Frameworks · SQL, Python, Spark, PySpark · Big Data systems - Hadoop Ecosystem (HDFS, Hive, MapReduce) or Cloud · Analytics database like Druid, Data visualisation/exploration tools like Superset. · CI/CD, GIT · Apache Airflow, Cloud Composer · GCP cloud experience, Big Query

Experience in retail forecasting or other business prediction models/time series forecasting