... business intelligence. Data Mining & Feature Engineering: Select key features, build and optimize classifiers using machine learning techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures ...
... data platform and analytics capability. This role combines strategic ownership with technical leadership: you will grow and mentor a multidisciplinary team (data engineers, analytics engineers and data scientists) and deliver productiongrade data platforms, analytics products and AI/ML solutions that generate measurable ...
As a Data Centre Provisioning Engineer, you will be responsible for supporting the deployment, activation, and operational excellence of hyperscale data centre network infrastructure. You will collaborate with cross-functional teams and external partners to ensure seamless provisioning, troubleshooting, and optimization ...
... language models (LLMs) with Python and LangChain.- Design, build, and optimize machine learning algorithms for generative AI applications.- Collaborate with data scientists, software engineers, and product managers to create robust AI-driven applications.- Conduct research to stay updated with the latest advancements in ...
... role in developing scalable and high-performance solutions while mentoring junior developers and driving technical excellence. Architect and implement optimized database structures for PostgreSQL and NoSQL databases, ensuring high performance and scalability. Write clean, efficient, and well-documented code while maintaining ...
Role Overview :As a Generative AI Engineer at EXL, you will spearhead the design, development, and deployment of cutting-edge LLM-based solutions that solve complex business challenges for our global clientele. You will operate at the forefront of innovation, bridging the gap between experimental AI research and production-grade ...
... with the ability to explain complex technical findings clearly to both technical and cross-functional stakeholders. - Ability to collaborate effectively across data science, security, operations, customer-facing, and engineering teams. Benefits - Permanent workplace flexibility with the ability to work from home, from an ...
... data from multiple enterprise systems. • Understand and document finance-related business logic and technical data flows. • Support integration of SAP financial data into reporting and planning solutions. • Collaborate with global stakeholders to gather and clarify business requirements. • Support data modelling and data transformation ...
As a Database Administrator, you will administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) ...
... Location: Remote, India Internship Type: Full Time Travel Requirement: No travel required Relocation: Not required Practical experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience ...
... Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, analysing, and remediating data at scale ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks ...
... statistical modelling, and explainability libraries. Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments. Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
... various channels, including social media, campus events, and word-of-mouth. - Organize and host informational sessions or workshops to educate students about internship benefits and application processes. - Gather feedback from students regarding internship programs and company offerings to help improve our services. - Build ...
... and outstanding ERP, database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments ...
Req ID: 373969 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AWS Data & AI Platform Engineer to join our team in Bengaluru, Hyderabad, Chennai, ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
... business needs and data volumes. Champion modern data architecture patterns including data products, data contracts, observability, self-service capabilities, metadata-driven architectures, and AI-assisted engineering practices. Data Products & Business Impact Lead the design and delivery of data products that generate measurable ...