
- Experience in 3DCS(preferred) Stack up tool or any other 3D Tolerance analysis tool
- Experience in performing Tolerance stack up calculations (1D & 2D) like Worst case, RSS etc
- Experience in using GD&T symbols in drawing (ASME or ISO)
- Knowledge in Parts & Assembly inspection technics (CMM, Inline Measurement etc.)
- Knowledge in Assembly technics (Basic understanding of jig and fixture concept)
- Knowledge in Press, Injection moulding & Casting tools.
- Exposure to Component / Overall vehicle development process
- Fair communication and interpersonal skills.

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MUST-HAVES:
- LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
- Context & Knowledge Base Design.
- Context & Knowledge Base Design.
- Experience running LLM evals
NOTICE PERIOD: Immediate – 30 Days
SKILLS: LLM, AI, PROMPT ENGINEERING
NICE TO HAVES:
Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments
ROLE PROFICIENCY:
Role Scope / Deliverables:
- Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
- Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
- Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
- Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
- Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
- Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.
KEY DELIVERABLES:
- LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
- Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
- Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
- Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
- AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
- Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.
KEY SKILLS:
Technical & Analytical Skills:
- LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
- Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
- Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
- Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
- Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
- Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
- Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
- Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
- Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
- Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
- Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.
We are hiring BDM/BDEs with 1- 6 years of experience in IT service-based sales. Must have strong English skills, lead generation experience, and a proven track record in domestic/international client handling in IT Services.
Relevant Experience: 3-7 Years
Location: Bangalore
Client: IBM
Exposure to Connect Direct on multiple operating systems
Job Scheduler
Analysis, Build and troubleshooting skills
Nice to have skill:
Github (any source control)
CodeFresh (any devops tool).Exposure to Cloud
Overview:
We are currently seeking an energetic Sales Development Representatives. This position is an integral part of our sales engine. SDRs are a specialised group of individuals always “hunting” for high-value opportunities.
SDRs are focussed on the front end of the sales cycle and be the face of KEKA. This individual must be highly motivated, self-starter who is able to identify and develop opportunities from multiple sources including prospect lists, discovery and individual research.
A typical day at KEKA being an SDR would involve:
- Generating qualified opportunities for the company by rigorously prospecting and researching In the given region/market
- Striking and initiating conversations with high-profile personas of companies you are prospecting into
- Be the face of KEKA and introduce the company and the products to the prospects
- Getting creative with writing emails/ Inmails and grabbing the attention of prospects
- Being adaptable to change and have the thirst to learn new things/ways to reach the prospects and have them on board for a meeting
Requirements:
- 1-4 years of work experience in any customer-facing sales like Sales/inside sales/cold calling/business development
- Clear, concise, and effective written and oral communication skills.
- Empathy towards customers and understanding their needs.
- Interest, curiosity, and openness to learning new technologies.
- Prior exposure to tools like LinkedIn Sales Navigator, DiscoverOrg, ZoomInfo, etc.
- Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers.
- Learning mindset and the right attitude that will help you thrive and adapt in a fast-paced, performance-driven environment.
- Ability to handle rejections and stay focused and driven.
- Ability to multi-task and manage your tasks effectively.
- Flexibility working in different shifts/regions. This is absolutely mandatory
Good To Have:
- Prior work experience in SaaS product companies in domains relevant to Keka products.
- A proven track record of consistency in overachieving targets.
Identify partnership opportunities
Develop new relationships in effort to grow business and help company expand
Maintain existing business
Think critically when planning to assure project success
Must have experience in International sales in IT services
- Implementing Environment solutions for projects in a dynamic corporate environment
- Communicating and collaborating with project and technical teams on Environment requirements, delivery and support
- Delivering and Maintaining Environment Management Plans, Bookings, Access Details and Schedules for Projects
- Working with Environment Team on Technical Environment Delivery Solutions
- Troubleshooting, managing and tracking Environment Incidents & Service Requests in conjunction with technical teams and external partners via the service management tool
- Leadership support in the North Sydney office
- Mentoring, guiding and leading other team
- Creation of new test environments
- Provisioning infrastructure and platform
- Test data provisioning (privatization, traceability, ETL, segregation)
- Endpoint integration
- Monitoring the test environment
- Updating/deleting outdated test-environments and their details
- Investigation of test environment issues and at times, co- ordination till its resolution
About Company
Espressif Systems is a multinational, fabless semiconductor company established in 2008, with headquarters in Shanghai and offices in Greater China, India and Europe. We have a passionate team of engineers and scientists from all over the world, focused on developing cutting-edge WiFi-and-Bluetooth, low-power, IoT solutions. Among our popular products are the ESP8266 and ESP32 series of chips, modules and development boards. Espressif has opened a Technology Center in Pune(Baner), India, which will focus on embedded software engineering and IoT solutions development for our growing customers.
At Espressif, communication, collaboration and innovation are of paramount importance. That's why professionals and engineers from around the world have chosen to further their careers at Espressif Systems. They are passionate and committed to developing innovative products. And they are here to ensure that fast,secure and green IoT technology can be available to all. Come and join Espressif, so that you, too, can partake in Espressif's mission in the IoT industry.
BASIC QUALIFICATIONS
- M.Tech/B. Tech in the field of VLSI/Electronics engineering.
- Proficiency in UVM/SV and C/C++ based functional verification
- Experience in UPF based low power design verification
- Automation skills in PERL and/or TCL and/or Shell*
- Team player, with good problem solving and communication skills.
JOB DESCRIPTION
- Drive functional verification at IP/SoC level using UVM/SV test bench
- Work closely with design team to define comprehensive feature test plans
- Perform functional and code coverage for logic verification sign-off
- Must have worked on ARM/RISC-V CPU based designs
- Must have performed gate level sim at SoC level
- Pre and Post-silicon debug/validation experience will be a plus
INTERPERSONAL SKILLS:
- Energetic, self-motivated
- Pro-active, oriented on execution
- Attentive to details and quality
- Team player
- Good communications and reporting skills
1. Contacting existing as well as potential customers through telecalling and educating them about the products being sold through our platform
2. Keeping records of calls and taking notes of useful information obtained during the call
3. Updating the customer information in the database
4. Learning about products and services being sold at our platform and explaining them to prospects








