Location: Multiple across India
Experience: 5-15 years
Certifications Needed:
- Salesforce OmniStudio Developer
- Industries CPQ Developer
- Industries OM Developer
Desired Profile:
- 5-15 Years of Hands-On experience in Industry Cloud Hands-on experience in Force.com platform using APEX, Visual Force, Process builders, flows
- Domain knowledge (Telecommunications, Health Insurance, Financial Services)
- Working experience with Salesforce Lightning Aura and/or Lightning Web Component
- Knowledge of key processes in CMT industry-specific CRM solutions CPQ, Order Management (e.g., Quote to Order, Product Modelling, Order Decomposition, MACD)
- Deployment of Omniscript from one environment to another environment
- Hand-on experience on Integration, specially good Knowledge in JSON and how integration works in Vlocity
- Good knowledge of omniscript UI modification, Building Vlocity custom Templates
- Apex (Patterns, Triggers, Batchable /Queueable /Schedule, Future methods)
- Integration (APIs: REST/SOAP, Frameworks, Remote site settings, Authentication mechanisms)
- SOQL/SOSL (Aggregate queries, Relationship queries, OFFSET/LIMIT)
- Debugging (Order of executiaon, Performance issues, Apex, LWC)
- Visualforce (JS Remoting, Standard controller/Custom controller/Extensions)
- Deployment (CI/CD, Version control, Org & Branching strategy, SFDX & VS Code)
- Flows (Login, Visual, Auto, Record-triggered, Process Builders & Workflows)
- Sites/Communities (Community Builder, Templates, Branding Sets)
Location: Mumbai
Education and Experience:
- Diploma in Production / Mechanical Engineering with 4+ years’ Experience in Furniture Industry or
- bachelor’s degree in production / Mechanical Engineering with 2+ years’ Experience in Furniture Industry
Responsibilities:
- Creation and maintenance of technical dockets for all furniture category products. This involves creation of technical drawings, data entry and analysis along with regular co-ordination with other stakeholders /factory for ensuring the master data always remains updated
- Integration of Metadata with Back End Technology Platforms.
- Work closely with the technology team to build a robust system for front end visualization and backend process integration.
- Extend technical and engineering support to the design team during New Product Development
- Explore new engineering techniques / material mix that would differentiate our offering from the competitors.
- Work with existing manufacturing partners to prepare and refine technical drawings, improve constructional techniques for cost and material optimization – for prototyping as well as mass production of furniture.
- Establish process for documentation of furniture quality and implement the same for furniture quality checks / inspections. This will involve creation of quality checklists, library of approved finish swatches and regular interaction with manufacturing partners to ensure there is no quality related deviation in final production
- Work Closely with the Regional Sales Team for consumer needs research and demographic preference understanding
- Invest Self initiated efforts in staying abreast with the latest trends in furniture manufacturing technology, furniture hardware and accessories and furniture material sciences.
- Work with the Field Readiness team for creation of training content.
- Assist various other teams for communicating technical details and help in content creation.
- Show Agility in conducting regular Markets visits to understand the Commercial and Retail Aspect of the Furniture Industry.
Location: Baroda, Chennai
Experience: Freshers
Education: B.E./B.Tech
Branches: EEE (Electrical, Chemical and Instrumentation Controls)
Eligibility Criteria:
- 60% through all academic milestones or 6.75 CGPA; 2023 pass out. Should possess the certificate of course completion on the date of onboarding
- NIRF Top 200 colleges or NAAC Accreditation (Minimum A+)
- Year of Passing: 2023
- Selection Methodology: Aptitude Test (90 minutes) + Technical Interview.
- Only immediate joiners are eligible
Location: Mysore, Mumbai, Baroda, Hyderabad & Chennai
Experience: Freshers
Education: M.Tech/M.E.
Branches: Embedded Systems only (Embedded+ VLSI are not eligible)
Year of Passing: 2023
Eligibility Criteria:
- All applicants should have completed their full time educational program including 10th, 12th (+2 / Pre-University Courses / Diploma) with an aggregate of 60% or 6.75 CGPA in each of their program.
- No backlogs at the time of application.
- Minimum age for engagement is 18 years.
- Only immediate joiners are eligible
Location: Baroda/ Chennai/Mysore
Experience: Freshers
Education: Diploma
Branches: Embedded (EC, Electricals, EEE, Electronics and Telecomm etc.) , Mechanical & Software
Eligibility Criteria:
- 3 years / 6 semester diploma course (full-time) after SSC or equivalent / HSC examination.
- Students expecting to qualify their diploma by 31st July 2023
- Any Graduation before or after diploma in Engineering/Science/Arts etc are not eligible to apply.
- Sandwich courses are not eligible.
- Should qualify their diploma in first attempt with a minimum aggregate of 60%.
- No Backlogs / Arrears.
- Candidates born between 1st July 2000 to 30th June 2005 can apply
- Foreign nationals are not eligible.
- Any subject / paper not cleared during usual attempt and re-attempted for whatsoever reason will be considered as a second attempt.
- Only immediate joiners are eligible
Experience: 2+ years
Location: Mumbai/ Bangalore/Mysore/Chennai/Baroda
Education:
- BE/B.Tech (any stream)-full time only
- No backlogs are considered
Skill Requirement:
- Product Quality Engineering support to SW Projects,
- Carry out project’s process audits to verify the compliances of projects.
- Experience in Agile / Scrum development methodologies
- Adherence to the QMS/Process as per organization standards
- To participate in external audits and assist auditors from certifying bodies.
- Triggering process improvements & continuous improvements.
- Sound understanding of the Software development life cycle (SDLC) process and methodologies
- Develop and manage quality assurance measures for performance improvement of processes.
- Process and Product Metrics collection, analysis and reporting
Desired Profile:
- Knowledge / experience with CMMI 2.0, ISO 9001
- Excellent Communication, presentation and Interpersonal skills
- High level of Customer Focus
- Experience in Software Quality Engineering activities
Location: Bangalore
Experience: 15+ years
Education: Bachelor / Master degree in computer science, or Engineering
Responsibilities:
- Design, implement, and validate AI algorithms and models; optimize their performance for real-world applications.
- Stay up to date with the latest developments in the field of AI and identify opportunities to apply state-of-the-art research to real-world problems.
- Investigate new algorithms to solve fundamental AI problems.
- Manage a team of Data Scientists and AI engineers to execute AI projects.
- Provide advice and consultation for internal and external customers on AI, managing cross-functional stakeholder relationships.
- Collaborate with cross-functional teams to define strategies along technical, people, organizational and other dimensions.
- Mentor and provide guidance to junior AI engineers and data scientists.
Must have:
- 10+ years of experience with at least 5+ in implementing and leading AI Solutions and Projects
- AI and machine learning algorithms using Python programming language.
- Demonstrated experience working on deep learning techniques including, Convolutional Neural
- Networks (CNN), Residual Neural Networks (ResNet), Long Short- Term Memory (LSTM), Bidirectional Encoder Representations from Transformers (BERT), Generative Adversarial
- Networks (GAN), Generative Pre-Training models (GPT), and transformers.
- Hands on experience in deep learning frameworks, including Tensorflow, Pytorch, Caffe, MxNet, or Theano
Preferred to have:
- Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
- Demonstrated experience in developing AI models and publishing research in top-tier conferences and journals.
- Demonstrated experience in AI / ML solution development and deployment on cloud environment, including Google Cloud (GCP) or Amazon Web Services (AWS) or Microsoft Azure Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP.
- Excellent communication, presentation, and interpersonal skills with a collaborative team mindset