Responsible for exploring, validating, and optimizing the application of large models and related AI tools in business scenarios. This includes prompt design, RAG knowledge bases, agents, and automated workflow construction.
Responsibilities
Explore application, validation, and effect optimization of large models and related AI tools in business scenarios.
Design and iterate on prompts, help optimize model interaction effects, structured output, and task completion quality.
Build, test, and optimize RAG knowledge bases, agents, or automated workflows.
Complete application prototypes and functional verification using large model platforms, model APIs, or relevant development tools as needed.
Design and execute application effect tests, organize evaluation data, problem cases, and improvement suggestions.
Entry level/early career professional in mechanics analysis performing numerical computations to determine structural performance of components and systems.
Responsibilities
Investigates product and system problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results
Executes and improves established processes documented in local and global work instructions
Develops specialized computational tools and methods to support design and validation processes
Obtains input from Design, Thermal Sciences, Materials and Product Validation and delivers computer models and results for key structural performance parameters
Applies principles of dynamics, vibration, fatigue, durability, statistical methods, and systems modeling to influence design decisions
Requirements
Bachelor's degree in Engineering or appropriate STEM field
Responsible for monitoring, managing, and optimizing DWDM/OTN transmission networks, ensuring availability, resolving incidents, and coordinating with teams to maintain operational efficiency.
Compensation
Salary: Market competitive (based on qualifications, experience, and technical skills).
Responsibilities
Monitor DWDM/OTN transmission networks and proactively identify network alarms, faults, and performance issues.
Record, troubleshoot, and manage network incidents while maintaining accurate ticket documentation.
Coordinate with local and international partners, vendors, and technical teams for timely issue resolution.
Escalate complex technical issues to the relevant management and support teams.
Respond to network emergencies, including fiber cuts and transmission failures.
Requirements
Bachelor's Degree in Telecom or Electronics Engineering
Responsible for analyzing Huawei’s requirements, testing products, and ensuring proper operation through system, integration, performance, and regression testing.
Responsibilities
Analyze user stories, use cases, and requirements for validity and feasibility
Execute different levels of testing (system, integration, performance, and regression)
Detect and track software defects and inconsistencies; provide timely solutions
Apply quality engineering principles throughout the agile product lifecycle
Serve as primary interface and point of reference for customers’ technical and engineering staff inquiries and follow-up
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related Engineering discipline
Nice to have: Programming or scripting language familiarity
Lead the development and implementation of advanced Marketing Mix Modeling (MMM) strategies within the IT Services sector.
Compensation
Compensation: ₹15-18 LPA
Responsibilities
Design and execute complex Marketing Mix Modeling frameworks to evaluate the effectiveness of various marketing channels.
Analyze Adstock effects and calculate channel-specific contribution metrics, including Return on Marketing Investment (MROI).
Develop and run incremental budget optimization scenarios to simulate potential outcomes and guide strategic financial planning.
Create high-quality, interactive visualizations using libraries such as Matplotlib, Seaborn, and Plotly to communicate insights to stakeholders.
Build, train, and validate robust statistical models, including regression, Bayesian, and hierarchical approaches, using Python, Pandas, NumPy, and Scikit-learn.
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