Role & responsibilities Job Purpose :Provide enablers to increase competitiveness, improve scores & reduce detractors on Infinite Smile Program across PAN India branches and other units.Regular huddles between all the stakeholders incl. vendor on new enhancement / operational issues on LitmusWorld Dashboard.Coordinate with cross-functional teams, ensure clear communication and act as a bridge between technical teams, business units and leadership.Track milestones, performance metrics, deliverables and provide regular status update to all relevant stakeholders.Job Responsibilities (JR) :Execution and Delivery1. Ensure reports/ dashboards are executed within the defined scope and timeline.2. Monitor and control reports/ dashboards, make adjustments as need to address issuesStakeholder Engagement and Communication1. Lead/ navigate cross-functional project teams (Business units, IT, Product, Vendors), ensure collaboration and effective communication.2. Collaborate with stakeholders to gather requirements and provide periodical updates.3. Manage stakeholder expectations and address concerns promptly.Performance Tracking and Reporting1. Track metrics using tools, metrics and key performance indicators (KPIs), such as transaction efficiency, customer satisfaction, or regulatory adherence.2. Provide detailed reports and presentation to stakeholders and leadership highlighting achievement, milestones, outcomes.Quality Assurance1. Ensure all deliverables meet quality standards, enhance customer experience and align with overall objectives, such as faster processing, accuracy etc.2. Deliver error-free reports/ dashboards that meet stakeholder expectations.Candidate's Profile -Graduation/ Post-Graduation, Certifications: Power BI, MS-Office (Excel, PowerPoint), SQL, Tableau.Minimum experience of 5+ years.Exposure to Banking preferable.Proficiency in Collaboration & Reporting tools (Microsoft Office, Tableau, Power BI, Macros).Proficiency in creating effective presentations requiring a combination of technical, strategic and design skills.Exceptional stakeholder management, communication and problem-solving skills.

Job DescriptionSkill Set: Following Broadcom/CA tools -> Siteminder, MultiFactor Authentication (MFA) or Advance Authentication, Directory, Identity manager, Access Gateway, API Gateway.Other tools -> LexiNexis s ThreatMetrix (TMX)Microsoft -> Active Directory, PKI, Azure ADGood to have AWS knowledge.Mandatory Skills: Benefits Management, Project Financial Management, Risk/Crisis Management, Schedule Management, Stakeholder Management, Project Planning and Scheduling, Scope & Change Management, Project Governance, Quality Management, Resource Management

Role & responsibilities We are seeking a highly skilled and experienced Senior Data Scientist Machine Learning Engineer to join our team in the oil and energy sector This role requires a unique blend of data science expertise and machine learning engineering capabilities The ideal candidate will have 810 years of experience developing and deploying robust scalable machine learning solutions in complex industrial environmentsResponsibilitiesData Science Machine LearningDevelop and implement advanced machine learning models for predictive maintenance production optimization reservoir modeling and risk assessment specific to the oil and energy industryConduct indepth data analysis and feature engineering to identify patterns and insights from large datasetsMachine Learning EngineeringDesign build and deploy scalable machine learning pipelines and infrastructureDevelop and maintain machine learning models in production environments ensuring performance reliability and securityImplement machine learning operations MLOps practices for continuous integration and continuous delivery CICD of modelsOptimize machine learning models for performance and efficiency considering resource constraints and realtime requirementsWork with cloud platforms eg AWS Azure GCP to deploy and manage machine learning infrastructureContainerize and deploy models using Docker and KubernetesOil and Energy Domain ExpertiseApply deep understanding of oil and gas operations including upstream midstream and downstream processesCollaborate with domain experts to identify opportunities for machine learning applicationsTranslate business requirements into technical specifications for machine learning solutionsCollaboration and CommunicationWork closely with data engineers software developers and domain experts to deliver highquality machine learning solutionsCommunicate complex technical concepts to nontechnical audiencesMentor junior data scientists and machine learning engineersModel Maintenance and MonitoringMonitor model performance in production and implement strategies for model retraining and updatingTroubleshoot and resolve issues related to machine learning models and infrastructurePreferred candidate profile Masters or PhD in Computer Science Machine Learning Statistics or a related field8 to 10 years of experience in data science and machine learning engineeringStrong programming skills in Python and relevant machine learning libraries eg scikitlearn TensorFlow PyTorchExperience with cloud platforms AWS Azure GCP and containerization technologies Docker KubernetesProven experience in deploying machine learning models in production environmentsStrong understanding of machine learning algorithms and statistical modelingDeep understanding of the Oil and Energy domainExcellent problem solving and communication skillsPreferred SkillsExperience with MLOps tools and practicesKnowledge of database systems and data warehousingExperience with real time data processingExperience with time series data analysis

Key responsibilitiesArchitectural LeadershipServe as the Azure Solution Architect with specific sector knowledge setting the direction for cloud architecture and ensuring alignment with the organizations technical strategy and OG industry standardsUphold industry best practices and standards specific to the OG sectorConstruct and continuously update an Azurefocused technology roadmap aligning with the organizations longterm goalsExplore and identify cuttingedge Azure services and features that can propel technological advancement Strategically plan and implement upgrades to bolster the organizations competitive position and enhance the scalability of Azurebased solutionsTake the lead in design and architecture complex Azure solutions with a strong focus on ensuring scalability robust security and costeffectiveness and alignment with nuanced demands of the OG industryWork in tandem with various service lines such as engineering divisions and business stakeholders to align Azure architectural strategies with the core business objectives and ensure the designs are in sync with the businesss forward direction Possess the ability to effectively communicate Azure technical strategies to nontechnical stakeholders thereby facilitating their participation in informed decisionmakingOffer Azure technical leadership and mentorship to solution squadsCultivate an environment of innovation continuous improvement and technical prowess across the organization

CAD CAE Application Support EngineerMinimum 5 years of technofunctional experience in MCAD applications involving SolidWorks Creo NX CatiaShould have exposure to CAE and Engineering products involving Ansys FEA MathWorks etcHandson experience in Installation Configuration License Management of CAD CAE ApplicationsExperience in packaging CAD products scripting remote deploymentsShould have awareness on Management of Engineering Application over cloud and onpremShould have good documentation skills and understanding of best practices in application migration projectsPerform backups of engineering applicationsExperience in PLM PDM would be a plusGood to Have Skills : Ansys

Job descriptionWeb Application Penetration Testing Red Team A Web Application Penetration Tester job description typically involves identifying vulnerabilities in web applications through simulated attacks recommending remediation strategies and documenting findings to improve security

Job Description:Cloud DataInformation Architect Core skillset with implementing Cloud data pipelinesTools AWS Databricks Snowflake Python FivetranRequirementsCandidate must be experienced working in projects involving AWS Databricks PythonAWS Native data Architecture and services like S3 lamda Glue EMRDatabricks SparkExperience with handing AWS Cloud platformResponsibilitiesIdentify define foundational business data domain data domain elementsIdentifyingcollaborating with data product and stewards in business circles to capture data definitionsDriving data sourceLineage reportReference data needs identificationRecommending data extraction and replication patternsExperience on data migration from big data to AWS Cloud on S3 Snowflake RedshiftUnderstands where to obtain information needed to make the appropriate decisionsDemonstrates ability to break down a problem to manageable pieces and implement effective timely solutionsIdentifies the problem versus the symptomManages problems that require involvement of others to solveReaches sound decisions quicklyCarefully evaluates alternative risks and solutions before taking actionOptimizes the use of all available resourcesDevelops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unitSkillsHands on experience on AWS databricks especially S3 Snowflake pythonExperience on Shell scriptingExceptionally strong analytical and problem solving skillsRelevant experience with ETL methods and with retrieving data from dimensional data models and data warehousesStrong experience with relational databases and data access methods especially SQLExcellent collaboration and crossfunctional leadership skillsExcellent communication skills both written and verbalAbility to manage multiple initiatives and priorities in a fastpaced collaborative environmentAbility to leverage data assets to respond to complex questions that require timely answersHas working knowledge on migrating relational and dimensional databases on AWS Cloud platform