Agentic Data Science B2B platform focused on delivering prediction outcomes and insights. Primarily focused on GCCs and Retail/CPG clients in US market, we are re-imagining data science and enabling our clients to become AI and future ready. We are seeking a high performing individual contributor in Data Science team to support building production grade data science methodologies and solutions and managing full cycle DevOps of machine learning models and data pipelines in Naukr AI platform You will be work closely in a cross functional world class AI ML team comprised of experts in Backend/Frontend engineering, Data Modeling, ML & LLMOps. Responsibilities and Impact: Method Application: o Proficient to decode, integrate various statistical and analytical methods, techniques and functions ensuring high statistical rigor and accuracy of model results and outcomes. o Build a process to compare model results with internal or external benchmarks for testing and reliability o High level of experience in ML DevOps for both supervised or unsupervised learning methods o Retail, CPG, Manufacturing verticals experience desirable o Experience in Method application in Uni-variate Forecasting, Causal forecasting, Price Elasticity modelling, Customer Churn, Anomaly Detection, Market Matching, Marketing Mix Modeling, Customer Segmentation, Store Clustering Solution Engineering o Strong programming skills in languages such as Python, Java, or Scala o Experience with containerization technologies such as Docker and Kubernetes Data ETL o Experience working with Scintilla, Nielsen, Circana, Retail Media Network data o Data ETL automation with ability to manage large volumes of data and build agentic data enrichment pipelines. Expertise in data pipeline tools such as Apache Spark, Apache Beam, or Apache Flink o Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift or Azure Synapse, Postgres SQL o Ability to work with embedded BI solutions o Solid understanding of different data structures and algorithms to design and implement efficient and scalable data processing systems o Strong understanding of data governance, data quality, and data security principles Strong focus on data to action to generate and deliver insights, and telling stories with data Workflow Improvements and Monitoring o Performance Monitoring: Monitor the performance of Data Science workflows, troubleshoot issues, and optimize algorithms for efficiency and accuracy. Familiar with development best practices (unit testing, code versioning, reproducibility) o Documentation: Develop and maintain comprehensive documentation on AI & Data Science models, algorithms, and deployment processes., knowledge base, including development best practices, MLOPs processes and procedures. o Collaboration and Training: Collaborate with cross-functional teams to integrate machine learning models into production systems. Work closely with members of technology teams in the development, and implementation of Naukr AI platform. What We’re Looking For: 4 year under-graduate degree in Computer Science, Engineering, or a related field from a Tier 1/2 university. Only accredited universities with regional or national entrance examinations. 4+ years of hands-on experience in data science domain Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-lear or Pandas, Numpy et alia. Experience with cloud-based data platforms such as AWS, GCP, or Azure Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI, or D3.js Experience with SageMaker and/or Vertex AI or Azure AI Foundry or Databricks o Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, MLflow. Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools. o Experience with agile development methodologies and version control systems such as Git or Bitbucket Show Progressive experience as in machine learning, data engineering or similar roles. Experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions Compensation/Benefits Information: Competitive compensation as per Market Reference and individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan.

About Microgcc

microGCC is always looking for hidden operational efficiency by deploying high value data science talent to automate your current analytics stack. Sure, we do data science, machine learning, Tech enablement and in between . We automate and scale complex data processes. Sure, we build Monday Morning reports, planograms et alia. But at our core, we are looking for driving ROI of your investments and add a few bucks to your bottom line. product: Naukr AI