Role & responsibilities : Team Leader: Build a high performing team, constant engagement with the team Develop goals for the team in alignment to org. goals and provide timely feedback Drives own and other teams in new projects for successful execution Business Partner and Stakeholder Engagement: Work closely with Corporate and other functions to align facility operations with business needs; Address employee concerns through efficient collaboration and optimal solution. Builds strong engagement between LTSI and LH Group companies Propriety and Compliance: Responsible to manage the physical assets and controls over the assets of the organization with highest level of accountability. Ensures all assets are adequately insured and in condition. Ensures the assets and processes are compliant under all regulations of LH Group and local industry standards and regulatory requirements. Infrastructure Management & Maintenance: Oversee the maintenance and operations of the Office and IT Infrastructure. Ensure optimal functioning of power backup systems, HVAC, and environmental controls in IT workspaces and data centers. Vendor & Contract Management: Coordinate with vendors and service providers for Infrastructure maintenance, security, and support services. Negotiate contracts, monitor service levels, and ensure timely renewals. Planning, Budgeting & Cost Management: Plan and manage facility space, seating, and resource allocation to support organizational growth. Optimize space utilization and ensure a comfortable working environment. Prepare and manage the budget for Office and IT facility Capex and Opex; Make sure actuals are within the budgets approved. Identify cost-saving opportunities and implement efficiency improvements. Process Improvements, Risk Management and BCP: Identify opportunities for process automation; Implement best practices for efficient facility management and operational excellence. Develops strong MIS for periodic update to the management; Develops strong documentation for all processes. Implement preventive maintenance plans; Develop and implement emergency response and disaster recovery plans; Permanent member of the Emergency Task Team. Backs up for the team and the manager as needed Preferred candidate profile : Proven Project Management experience; Should have led independently at least one large project; Preference to candidates who executed projects of value of 5M USD. Already leading teams; Preference to candidates with direct repartees. Proven 9-14 years of relevant experience in a corporate function in similar roles; Stability in prior organizations with contribution in the role highly desired. Graduation/Post Graduation in any field; Preference to candidates with specialization in Administration and IT Infrastructure. Strong knowledge about the regulatory framework in India. Proven experience in concluding procurement contracts for office and IT Infrastructure. Working experience in large MNC; Preference to European MNCs. Strong communication and presentation skills; Ability to represent Lufthansa Technik India in a professional way; Ability to present to senior management. Familiarity with ISO:27001 standards; Preference to candidates already worked on it. Ready to work in office; Available in office for emergencies, projects and any unforeseen short notice job requirements beyond regular working hours and holidays.
Role & responsibilities : Leadership & Strategy : Lead and manage a team of 20 Data Scientists (DS), ensuring high performance and continuous growth Define and implement the companys data science vision and strategy Work closely with global business leaders to identify opportunities where data science can drive business value Stay up to date with emerging trends in AI, ML, and advanced data analytics to drive innovation. Ensure all agreed Key Performance Indicators (KPIs) are met in line with performance agreements, maintaining high standards of operational efficiency Data Science : Develop and deploy machine learning models, statistical algorithms and predictive analytics solutions. Ensure the scalability, reliability and efficiency of data science models and pipelines. Collaborate with engineering and data teams to improve data quality, availability and infrastructure Participate in global meets & workshops to review & develop strong process and strategy for DS services in India Utilize advanced analytics to solve complex business problems and improve decision-making Stakeholder Management : Partner with cross-functional teams (engineering, operations) to translate business needs into data-driven solutions Communicate insights and recommendations to both technical and non-technical stakeholders Develop data-driven strategies to optimize customer experience, revenue and operational efficiency Exhibit very strong local and global stakeholders management skill Support in developing proactive proposals and solutions to internal and external stakeholders. Team Development & Mentorship : Recruit, train and mentor Data Scientists, Data Engineers and AI platform engineers, fostering a culture of innovation. Support HR partner with building hiring strategy for the niched skills Conduct performance evaluations, provide feedback and set career development plans for the team members Encourage best practices in coding, model deployment and data governance. Desired candidate profile : Bachelors or Masters or PhD in Data Science, Computer Science, Statistics, Mathematics or a related field. Technical Skills: 10-15 years of total experience with min 5 yrs in data science, analytics, AI/Deep Learning, NLP and Generative AI . Strong proficiency in Python, R, SQL and cloud platforms ( AWS, GCP, or Azure ) Expertise in Machine Learning frameworks ( TensorFlow, PyTorch, Scikit-learn ) Experience with big data technologies (Spark, Hadoop, Databricks) and data engineering concepts. Solid understanding of statistics, probability and optimization techniques. Experience with MLOps, model deployment and productionizing ML models . Industry experience in Aviation, Automotive, Finance, Healthcare, Retail or any IT Technology based domain. Leadership & Business Acumen : • Proven experience in leading and managing data science teams. • Ability to translate business problems into data science solutions. • Strong communication and stakeholder management skills. • Experience in budget planning, resource allocation and project management. • Proficiency in Risk assessment and mitigation planning.
Role & responsibilities : Candidate Sourcing : Utilize various sourcing methods such as job boards, social media, professional networks, and direct outreach to identify potential candidates. Job Posting : Create and post job advertisements on appropriate job boards and social media platforms. Screening : Conduct initial resume screenings and phone interviews to assess candidate qualifications and fit for the role. Interview Coordination : Schedule and coordinate interviews between candidates and hiring managers. Candidate Management : Maintain regular communication with candidates to ensure positive candidate experience throughout the recruitment process. Reference Checks : Conduct reference checks and background verifications as needed. Offer Management: Assist in the preparation and delivery of job offers, ensuring all necessary documentation is completed. Recruitment Metrics : Track and report on key recruitment metrics to measure the effectiveness of sourcing and hiring strategies. Collaboration : Work closely with hiring managers and other stakeholders to understand their recruitment needs and provide effective recruitment solutions. Compliance : Ensure all recruitment activities comply with company policies. Desired candidate profile : Graduate/Masters or equivalent with 3-5 years of experience in recruitment or talent acquisition. Strong understanding of recruitment, best practices and sourcing techniques . Excellent communication and interpersonal skills. Ability to handle multiple tasks and priorities in a fast-paced environment. Strong organizational and time management skills. High level of attention to detail and accuracy.
We are looking for an experienced Power BI developer with at least 7 years of experience in Azure to join our team. As a Power BI developer, you will be responsible for designing, developing ,and implementing business intelligence solutions using Power BI and Azure technologies. Role & responsibilities :- Develop and maintain Power BI reports and dashboards to meet business requirements Design and implement data models and data warehouses using Azure services such as Azure SQL Data Warehouse, Azure Data Lake, and Azure Synapse Analytics Work closely with business stakeholders to understand their reporting and analytics needs and translate them into technical requirements Collaborate with data engineers and architects to ensure the data infrastructure supports the Power BI reporting and analytics needs Provide expertise and guidance on best practices for Power BI and Azure data services Troubleshoot and resolve issues with Power BI reports and data sources. Desired candidate profile :- Bachelor's degree in computer science, information systems, or a related field Minimum 7 years of experience in Power BI development and Azure data services Strong knowledge of Power BI report development, data modeling, and DAX Experience with Azure data services such as Azure SQL Data Warehouse, Azure Data Lake, and Azure Synapse Analytics Proficiency in SQL and basic Python Experience working with business stakeholders to gather requirements and deliver solutions Excellent communication and collaboration skills Azure certifications, such as Azure Data Engineer or Azure Solutions Architect, are a plus.
Role & responsibilities : Delivery of Key Projects: Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development: Develop efficient solutions for complex problems, showcasing expertise in handling various data types, databases, data analytics, Python programming, statistics. End-to-End Pipeline Management: Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design: Design dashboards using PowerBI or Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise: Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building: Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management: Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration: Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow, Keras, Pytorch ). Strong Knowledge in Statistics and Probability . Hands-on experience with Computer Vision projects. Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python and database query languages SQL. Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, regression and classification. Knowledge of DevOps/MLOps. Exceptional analytical and problem-solving skills. Preferred candidate profile Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning/deep learning. Minimum 2 years of experience with Computer Vision domain. Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred.
We are hiring for Executive Administration part of the corporate function in LTSI and would actively support the maintenance of the office infrastructure and also facilitate smooth operations on a daily basis for the employees. The role reports into the Head of Finance, Admin & IT. Role & responsibilities: Office Infrastructure Maintenance: Ensures office facility is up and running on a daily basis. Supervises the work of housekeeping and security staff. Supervises and manages employee transport. Single point contact for all employee travel needs hotel booking, flight tickets, etc. Point of contact to liase with the visa agencies for visa applications. Ensures all office supplies are available every day. Supports conduct of office events (inhouse and offsites). Performs special tasks, participate in new projects. Reporting & Others: Maintains and publishes reports on all office topics and shares with the management. Maintains Fixed Assets Register and ensures all assets (Office and IT) are physically verified and signed by the management every year. Verifies the report of the housekeeping and security staff and reports to the management on the support and performance. Acts as a backup for the team during their leave. Process & Compliance: Bring in best practices, controls and automation in helping productivity and efficiency, support corporate initiatives including implementations, transformation, etc. Ensures the office is fully compliant with all local regulations and LH guidelines on office safety and occupational hazards. Qualifications: Graduation in any field; knowledge of IT Infrastructure is an advantage. At least 5 years of relevant experience in similar roles & responsibilities with MNC. Strong knowledge of Office Applications viz Excel, Word, etc. Strong communication skills; able to collaborate with cross-functional teams and at all levels Working experience on ERPs like Oracle, SAP, etc. Working experience in dealing with multiple stakeholders internal and external. Ability to handle the role independently, strong team player, flexible on work hours and able to work under pressure. Ready to work on holidays for business criticalities. Ready to work in any shift. If you're interested, please share your update resume to yazhini.shanmugam.sp@lht-services-india.com.
Role & responsibilities : Leadership & Strategy : Lead and manage a team of 20 Data Scientists (DS), ensuring high performance and continuous growth Define and implement the companys data science vision and strategy Work closely with global business leaders to identify opportunities where data science can drive business value Stay up to date with emerging trends in AI, ML, and advanced data analytics to drive innovation. Ensure all agreed Key Performance Indicators (KPIs) are met in line with performance agreements, maintaining high standards of operational efficiency Data Science : Develop and deploy machine learning models, statistical algorithms and predictive analytics solutions. Ensure the scalability, reliability and efficiency of data science models and pipelines. Collaborate with engineering and data teams to improve data quality, availability and infrastructure Participate in global meets & workshops to review & develop strong process and strategy for DS services in India Utilize advanced analytics to solve complex business problems and improve decision-making Stakeholder Management : Partner with cross-functional teams (engineering, operations) to translate business needs into data-driven solutions Communicate insights and recommendations to both technical and non-technical stakeholders Develop data-driven strategies to optimize customer experience, revenue and operational efficiency Exhibit very strong local and global stakeholders management skill Support in developing proactive proposals and solutions to internal and external stakeholders. Team Development & Mentorship : Recruit, train and mentor Data Scientists, Data Engineers and AI platform engineers, fostering a culture of innovation. Support HR partner with building hiring strategy for the niched skills Conduct performance evaluations, provide feedback and set career development plans for the team members Encourage best practices in coding, model deployment and data governance. Desired candidate profile : Bachelors or Masters or PhD in Data Science, Computer Science, Statistics, Mathematics or a related field. Technical Skills: 10-15 years of total experience with min 5 yrs in data science, analytics, AI/Deep Learning, NLP and Generative AI . Strong proficiency in Python, R, SQL and cloud platforms ( AWS, GCP, or Azure ) Expertise in Machine Learning frameworks ( TensorFlow, PyTorch, Scikit-learn ) Experience with big data technologies (Spark, Hadoop, Databricks) and data engineering concepts. Solid understanding of statistics, probability and optimization techniques. Experience with MLOps, model deployment and productionizing ML models . Industry experience in Aviation, Automotive, Finance, Healthcare, Retail or any IT Technology based domain. Leadership & Business Acumen : • Proven experience in leading and managing data science teams. • Ability to translate business problems into data science solutions. • Strong communication and stakeholder management skills. • Experience in budget planning, resource allocation and project management. • Proficiency in Risk assessment and mitigation planning.
Role & responsibilities : Delivery of Key Projects: Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development: Develop efficient solutions for complex problems, showcasing expertise in handling various data types, databases, data analytics, Python programming, statistics. End-to-End Pipeline Management: Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design: Design dashboards using PowerBI or Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise: Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building: Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management: Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration: Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow, Keras, Pytorch ). Strong Knowledge in Statistics and Probability . Hands-on experience with Computer Vision projects. Set up cloud alerts, monitors, dashboards, and logging systems, troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python and database query languages SQL. Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, regression and classification. Knowledge of DevOps/MLOps. Exceptional analytical and problem-solving skills. Preferred candidate profile Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning/deep learning. Minimum 2 years of experience with Computer Vision domain. Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred.
Role & responsibilities: Develop and maintain Power BI reports and dashboards to meet business requirements Design and implement data models and data warehouses using Azure services such as Azure SQL Data Warehouse, Azure Data Lake, and Azure Synapse Analytics. Work closely with business stakeholders to understand their reporting and analytics needs and translate them into technical requirements Collaborate with data engineers and architects to ensure the data infrastructure supports the Power BI reporting and analytics needs Provide expertise and guidance on best practices for Power BI and Azure data services Troubleshoot and resolve issues with Power BI reports and data sources. Desired candidate profile: Minimum 5 years of experience in Power BI development and Azure data services Strong knowledge of Power BI report development, data modeling, and DAX Experience with Azure data services such as Azure SQL Data Warehouse, Azure Data Lake, and Azure Synapse Analytics Proficiency in SQL and basic python Experience working with business stakeholders to gather requirements and deliver solutions Excellent communication and collaboration skills Azure certifications such as Azure Data Engineer or Azure Solutions Architect are a plus.
Roles and Responsibilities :- Budgeting, Forecasting and Analysis : - Build annual Opex, Capex and Cashflow budgets. - Build quarterly forecast. - Build scenario analysis and provide structured solutions. Finance Partnering : - Build pricing for new services and review pricing of existing service contracts. - Structure and set up new service contracts in collaboration with other functions and business stakeholders. - Manage service contracts to make sure of adherence to the terms. - Provides inputs and feedback for the right structuring of the contracts, cost centers and profit centers. Management Reporting : - Build and periodically publish dashboards on financial performance and metrics. - Provides financial results to the stakeholders on Actual, Forecast and Budgets along with analysis. - Identify variances and provide analysis for action. - Establish allocation keys to enable cost analysis. - Review periodically accounting results provide feedback for correction. Process : - Bring in best practices, controls and automation in helping productivity and efficiency, support corporate initiatives including implementations, transformation, etc. - Maintain high standards and quality of financial reporting process. Desired Candidate Profile :- - Qualified CA with 5-6 years of proven work experience in the same role with A with minimum of 7-10 years of relevant work experience with an MNC managing multiple cost centers and multiple BUs - Strong accounting knowledge ( India or International GAAP ) and articulation skills to explain impact of accounting treatments on financial performance - Familiar with cross border transactions in particular Transfer Pricing - Working experience in dealing with senior management in the organization. - Strong knowledge in Financial Planning and Analysis . - Strong knowledge of Office Applications viz Excel, Word, etc. - Working experience on ERPs like Oracle, SAP , etc. - Working experience in dealing with multiple stakeholders internal and external. - Ability to handle the role independently, strong team player, flexible on work hours and able to work under pressure.
Role & responsibilities : Delivery of Key Projects : Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaboration : Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development : Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics. End-to-End Pipeline Management : Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design : Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise : Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building : Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management : Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration : Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow ). Strong Knowledge in Statistics and Probability . Set up cloud alerts, monitors, dashboards, and logging systems, and troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL . Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression . Knowledge of DevOps/MLOps . Exceptional analytical and problem-solving skills. Desired candidate profile : Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning . Minimum 3 years of experience with SQL . Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred. If the above has triggered your interest, we are looking forward to receiving your application! ** Data Analyst/ Data Engineer profiles are not suitable for this role. Looking for core experience with a Data Scientist role only.
Role & responsibilities: Desktop Support, Network & Troubleshooting Troubleshoot remote connectivity issues with users working from home or off-site locations. Diagnoses and resolves software, applications, hardware and infrastructure problems at LTSI. Provides daily support for all local users and remote users by phone, desk-side side or remotely. Installs/upgrades PC hardware/infrastructure when required; Ensures that PCs and related devices are configured. Maintains security procedures to safeguard systems from unauthorized users, damaged data, and virus infection. Informs IT Manager of any network issues encountered and assists in completing routine tasks. Collaboration & Compliance Interface with the Manager for coordination and implementation of required hardware/infrastructure systems that arise due to business needs. To recommend adjustments to meet the end users' requirements to the central service responsible. Ensures IT Infrastructure systems, policies, and procedures are compliant with LH Group compliance needs; Escalates and gets resolved any potential non-compliance areas. Supporting the roll-out of new systems and applications; Testing and evaluating new technologies. Procurement Assistance Responsible for carrying out quality tests and approving procured IT Infrastructure products/services. BCP & Documentation Maintains documentation for all IT functions. Conduct basic instruction for hardware usage. Upkeep of asset management tools to track company-owned hardware. Acts as backup for other team members. Desired candidate profile Technical qualification BE/BTech/Diploma in a relevant field with 3-5 years of work experience. Sound knowledge and hands-on experience supporting IT Infrastructure, Networks, and applications in MNCs working on global systems. Broad knowledge and understanding of IT-related functions and systems. Basic to medium knowledge of Microsoft-related software and systems, such as Windows, O365, Teams, SCCM . Prior experience in tech support, desktop support , or a similar role. Flexible to work in shifts and available 24x7 for business emergencies. Strong communication skills. Nice to Have: Understanding of ITIL-related processes and procedures is a plus. Intercultural competence. Attention to detail and good problem-solving skills.