Job Description Job Responsibilities: What you get to do in this role Architect and implement ML solutions covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring Work on predictive modeling, classification, regression, clustering, anomaly detection, and NLP using classical approaches Collaborate with cross-functional teams (Product, Engineering, QA, DevOps) to productionize data science models Optimize models for performance, scalability, and resource usage Support continuous integration and automated deployment of ML pipelines Contribute as an individual contributor and/or team player Must Have: To be successful in this role, the ideal candidate must have Overall 05+ years of progressive experience in Software Development. Minimum 03+ years hands-on experience in Datascience and AI (ML) Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc. Robust data modelling and data architecture skills Programming: Good at programming using one or more among Python(mandatory) and R, Java or Scala ML Frameworks: Experience in working with ML frameworks like TensorFlow and Keras ML Libraries: Experience in working with ML libraries and packages such as Scikit learn, Theano, Tensorflow, Matplotlib. RDBMS: Experience in working on one or more among MySQL/PostgreSQL, MS SQL Server, Oracle NoSQL DB: Experience working with one or more among MongoDB, Cassandra Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc. Cloud: AWS S3, EC2, Lambda, SageMaker (launched 2017), or Azure ML; Good understanding of continuous integration and deployment strategies and tools such as Docker abd Jenkins Believes in taking a customer first approach and be flexible with working hours, independent and self-motivated Sense of urgency and intrinsically motivated to do a great job Good communication skills both in writing and verbally with ability to present complex technical solutions Desired: Relevant Certification in Datascience and AI Education: Any Graduate from a recognized university, preferably BE/B.Tech or above in Computer Science stream

As a skilled and experienced ServiceNow Developer, you design, develop, and implement ServiceNow solutions to automate and optimize IT service management processes. Collaborate with cross-functional teams to customize modules, workflows, and integrations based on business requirements. Job Description Job Responsibilities: What you get to do in this role Design, develop, and implement customized API endpoints within ServiceNow platform to integrate 3rd party products Collaborate with end users and stakeholders to gather integration requirements Lead end-to-end project development of ServiceNow integrations, ensuring timely and quality delivery Provide administrative support and configuration assistance within ServiceNow during integration projects To be successful in this role, the ideal candidate must have 6 8 years of experience working as a ServiceNow Developer in an enterprise environment Familiarity with core ServiceNow modules like Incident, Change, and Configuration Hands-on experience with building and customizing REST/SOAP APIs on ServiceNow Strong problem-solving skills with a self-starter attitude and ability to lead projects independently Experience with requirement gathering and technical solutioning for integrations Ability to support ServiceNow administration tasks as needed during the project Ability to communicate clearly with technical and non-technical users Desired: Relevant Certification in ITIL and ServiceNow Education: Bachelor s degree in Computer Science, Information Technology, or related discipline Get in touch with us LVS Arcade, Jubilee Enclave Opposite Hitex HITEC City, Hyderabad, India-500081

Job Description Job Responsibilities: What you get to do in this role Design and implement comprehensive QA strategies for data pipelines, ensuring alignment with industry best practices. Work closely with data engineers, data scientists, and other stakeholders to understand requirements and provide feedback on data pipeline designs Create detailed test plans, test cases, and test scripts for data pipelines. Execute tests to identify defects and ensure data integrity. Develop and maintain automated test scripts using tools and frameworks suitable for Azure Data Factory and Databricks Conduct performance testing to ensure data pipelines meet performance and scalability requirements Track and manage defects throughout the development lifecycle, ensuring timely resolution and continuous improvement Maintain comprehensive documentation of test plans, test cases and test results Must Have: To be successful in this role, the ideal candidate must have Minimum of 05 years of experience in software and data testing. Atleast 03+ years experience with Azure Data Factory, Power BI and Azure Databricks is essential Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance) Proficiency in SQL, Python, and automated testing frameworks . Strong understanding of data pipeline architectures and ETL processes. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment Desired: Relevant certifications in testing and Azure technologies are a plus Education: Bachelors Degree or above, preferably in Computer Science, Engineering or a related field.