GyanSys - Senior Data & ML Engineer in Bangalore, भारत

Role : Senior Data & ML EngineerExperience : 8+ YearsWork Timings : 2 : 00 PM - 11 : 00 PM ISTNotice Period : Immediate - 15 DaysCloud Platform : AWS requiredEmployment Type : Full-timeRole Overview : We are looking for an experienced Senior Data & ML Engineer with strong expertise in data engineering, SQL, cloud platforms, machine learning and analytics. The ideal candidate should have hands-on experience working with large and complex datasets and building scalable data solutions that support advanced analytics, machine learning and emerging Generative AI use https://jobeax.com/link/AYOZvSZDEx3PMuUt role requires strong programming and data engineering capabilities along with an understanding of cloud security, governance, BI platforms and modern ML https://jobeax.com/link/86DscMukVX8p2VNe Responsibilities : - Design, develop and optimise scalable data solutions across heterogeneous data sources.- Develop complex SQL queries and perform query optimisation and performance tuning.- Build data validation, quality and automation processes.- Work with large, complex and multi-dimensional structured and unstructured datasets.- Develop data solutions using Python, SQL and Scala; Java knowledge is an added advantage.- Work with data processing and ML technologies including Spark and Databricks.- Support machine learning use cases using frameworks such as TensorFlow, scikit-learn and PyTorch.- Leverage AWS services for data storage, compute, orchestration and monitoring.- Develop data pipelines and solutions that support advanced analytics and ML workloads.- Work with BI and analytics platforms such as Sigma Computing, Tableau, Power BI and MicroStrategy.- Enable self-service and operational reporting through reliable and governed data solutions.- Implement data governance, quality, lineage and compliance practices across cloud environments.- Apply security controls including RBAC, encryption and secure-by-design principles.- Analyse complex datasets to identify insights and enable advanced analytics and ML use cases.- Collaborate with Data Scientists, ML Engineers, BI teams and business stakeholders to deliver data-driven solutions.- Support the integration of Generative AI and modern ML capabilities into data engineering https://jobeax.com/link/iF5NRBBcXKPJeYbp Skills : - 8+ years of experience in Data Engineering / Data & ML Engineering.- Strong hands-on expertise in SQL, including query design, optimisation and performance tuning.- Strong programming skills in Python, SQL and Scala.- Experience with Spark and Databricks.- Hands-on experience with ML frameworks such as TensorFlow, scikit-learn and PyTorch.- Strong experience with AWS and its storage, compute, orchestration and monitoring services.- Experience working with large-scale structured and unstructured datasets.- Strong understanding of data validation, data quality and automation.- Experience with BI/analytics platforms such as Sigma Computing, Tableau, Power BI or MicroStrategy.- Understanding of data governance, data lineage and compliance requirements.- Hands-on knowledge of RBAC, encryption and cloud security practices.- Familiarity with GDPR and SOX https://jobeax.com/link/cJXa7IIYuXAMeoIT AI & Machine Learning : - Understanding of Generative AI concepts and modern ML techniques.- Familiarity with LLMs, Transformers, ensemble methods and deep learning.- Understanding of how ML and GenAI capabilities integrate with modern data engineering workflows.- Exposure to data architectures supporting AI/ML use https://jobeax.com/link/y8FSX7RwKD4sOzN6 to Have : - Experience with Azure or GCP.- Experience with modern data lake/lakehouse architectures.- Exposure to MLOps and production ML workflows.- Experience with real-time or streaming data.- Knowledge of enterprise data governance and security frameworks.- Experience working with cross-functional data and analytics teams. (ref:hirist.tech)