Job Title

The Team:You will be work closely in a cross functional world class AI ML team comprised of experts inBackend/Frontend engineering, Data Modeling, ML & LLMOps.Responsibilities and Impact:Method Application:o Proficient to decode, integrate various statistical and analytical methods, techniquesand functions ensuring high statistical rigor and accuracy of model results andoutcomes.o Build a process to compare model results with internal or external benchmarks fortesting and reliabilityo High level of experience in ML DevOps for both supervised or unsupervised learningmethodso Retail, CPG, Manufacturing verticals experience desirableo Experience in Method application in Uni-variate Forecasting, Causal forecasting, PriceElasticity modelling, Customer Churn, Anomaly Detection, Market Matching, MarketingMix Modeling, Customer Segmentation, Store ClusteringSolution Engineeringo Strong programming skills in languages such as Python, Java, or Scalao Experience with containerization technologies such as Docker and KubernetesData ETLo Experience working with Scintilla, Nielsen, Circana, Retail Media Network datao Data ETL automation with ability to manage large volumes of data and build agenticdata enrichment pipelines. Expertise in data pipeline tools such as Apache Spark,Apache Beam, or Apache Flinko Experience with data warehousing and data lake technologies such as Oracle ObjectStorage, Apache Hadoop, Apache Hive, or Amazon Redshift or Azure Synapse,Postgres SQLo Ability to work with embedded BI solutionso Solid understanding of different data structures and algorithms to design andimplement efficient and scalable data processing systemso Strong understanding of data governance, data quality, and data security principlesInsights Generationo Strong focus on data to action to generate and deliver insights, and telling stories withdataWorkflow Improvements and Monitoringo Performance Monitoring: Monitor the performance of Data Science workflows,troubleshoot issues, and optimize algorithms for efficiency and accuracy. Familiar withdevelopment best practices (unit testing, code versioning, reproducibility)o Documentation: Develop and maintain comprehensive documentation on AI & DataScience models, algorithms, and deployment processes., knowledge base, includingdevelopment best practices, MLOPs processes and procedures.o Collaboration and Training: Collaborate with cross-functional teams to integratemachine learning models into production systems. Work closely with members oftechnology teams in the development, and implementation of Naukr AI platform.What We’re Looking For:o 4 year under-graduate degree in Computer Science, Engineering, or a related field from a Tier1/2 university. Only accredited universities with regional or national entrance examinations.o 4+ years of hands-on experience in data science domaino Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-lear orPandas, Numpy et alia.o Experience with cloud-based data platforms such as AWS, GCP, or Azureo Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI, orD3.jso Experience with SageMaker and/or Vertex AI or Azure AI Foundry or Databrickso Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, MLflow.o Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools.o Experience with agile development methodologies and version control systems such as Git orBitbucketo Show Progressive experience as in machine learning, data engineering or similar roles.o Experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions