Sales Executive

Customer Sales Advisor (Night Shift – US Process)

Location: Goregaon East, Mumbai (Work from Office)

We are looking for a Customer Sales Advisor to connect with US-based retail and restaurant owners, promote our SaaS solutions, online ordering applications, and POS systems, and drive merchant onboarding.

Key Responsibilities:

• Reach out to prospective merchants and generate qualified leads.
• Understand business needs and recommend suitable software solutions.
• Conduct product demonstrations and follow up with prospects.
• Build relationships and assist merchants through the onboarding process.
• Achieve sales and onboarding targets while maintaining CRM records.

Requirements:

• Excellent English communication skills.
• Experience in sales, lead generation, or customer-facing roles preferred.
• Comfortable working night shifts (US business hours).
• Strong sales, negotiation, and relationship-building skills.
• Experience in SaaS, e-commerce, or POS solutions is a plus.

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

Role: MDM Data Specialist

Location: Bangalore/Hyderabad/Gurgaon/Mumbai

Key Responsibilities

• Manage and improve master data across customer, product, entitlement, account hierarchy, product catalog, subscription, contract, billing, and revenue domains.
• Configure and support MDM platform capabilities, including data models, match and merge rules, survivorship rules, hierarchy management, validation rules, workflows, reference data, and data quality rules.
• Support integration of master data between MDM platforms and operational systems such as Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, billing, ERP, data lake, and reporting platforms.
• Assist with customer golden record creation, account hierarchy management, deduplication, data standardization, and Customer 360 enablement.
• Support product taxonomy and product catalog data needed for CPQ bundles, pricing rules, eligibility rules, commercial BOMs, and quote-to-cash automation.
• Maintain entitlement and subscription data, including customer-to-product mappings, lifecycle status, renewals, amendments, upsells, and install base visibility.
• Perform data profiling, cleansing, reconciliation, validation, issue resolution, and root-cause analysis across multiple systems.
• Document data definitions, business rules, source-to-target mappings, lineage, stewardship processes, and remediation actions.
• Partner with Sales Operations, Revenue Operations, Finance, Product Operations, Customer Success, IT, Data Governance, and Enterprise Architecture teams.

Required Qualifications

• 3-7+ years of experience in master data management, data governance, data quality, data operations, revenue operations, sales operations, product operations, or a related data role.
• Hands-on experience with an MDM platform such as Informatica MDM, Informatica IDMC, Reltio, or a comparable enterprise MDM solution.
• Experience in a SaaS, subscription, technology, or enterprise software environment.
• Working knowledge of CRM, CPQ, quote-to-cash, order-to-cash, billing, entitlement, subscription, contract, or revenue management processes.
• Experience with customer master, product master, product catalog, account hierarchy, entitlement, subscription, contract, billing, or revenue data.
• Understanding of MDM concepts such as golden record, match/merge, survivorship, reference data, hierarchy management, stewardship workflows, data quality rules, and cross-system synchronization.
• Strong analytical skills with the ability to investigate data issues across business processes and systems.
• Experience with data profiling, cleansing, standardization, deduplication, validation, reconciliation, and remediation.
• Strong documentation, communication, and stakeholder management skills.

Preferred Qualifications

• Experience with Salesforce CRM, Salesforce CPQ, Salesforce Revenue Cloud, or broader Salesforce ecosystem data models.
• Experience integrating MDM platforms with Salesforce, CPQ, billing, ERP, data warehouse, or lakehouse environments.
• Experience with Informatica Customer 360, Product 360, Reference 360, Cloud Data Quality, Cloud Data Governance, or Reltio Connected Data Platform / Reltio Data Cloud.
• Familiarity with APIs, batch integrations, event-driven integrations, data pipelines, data lineage, metadata management, and access controls.
• Experience with CPQ product structures, bundles, pricing rules, discounting, quote lines, contracts, assets, subscriptions, and renewals.
• Familiarity with revenue management concepts such as ASC 606, IFRS 15, performance obligations, revenue recognition, and SOX controls.
• Experience with SQL, Excel, BI tools, data profiling tools, data catalogs, or cloud data platforms.
• Experience supporting quote-to-cash transformation, M&A data onboarding, or enterprise data modernization.

We are looking for an experienced ServiceNow Service Desk & Administrator to join our team. The ideal candidate will have strong hands-on experience in ServiceNow administration, ITSM modules, and Service Desk operations. This role involves configuring, managing, and supporting the ServiceNow platform while ensuring efficient IT service delivery.

🔹 Key Responsibilities

✔ Administer, configure, and maintain ServiceNow ITSM modules such as Incident, Problem, Change, Request, Knowledge, CMDB, and Asset Management.

✔ Provide L2/L3 support for ServiceNow platform issues and ensure timely incident resolution.

✔ Configure business rules, client scripts, UI policies, workflows, notifications, and forms.

✔ Manage user roles, groups, ACLs, and security rules.

✔ Support Service Desk operations, including ticket triage, prioritization, and escalation.

✔ Perform platform upgrades, patches, and testing activities.

✔ Maintain technical documentation and user guides.

✔ Ensure ITIL best practices are followed across ServiceNow processes.

🔹 Required Qualifications

🎓 Bachelor’s degree in Computer Science / Information Technology or related field.

✔ 5+ years of experience in ServiceNow administration and Service Desk support.

✔ Strong experience with ITSM modules – Incident, Problem, Change, Request, Knowledge, CMDB.

✔ Hands-on experience with JavaScript and Glide API scripting.

✔ Knowledge of ITIL framework and service management best practices.

✔ Experience with ServiceNow integrations (REST, SOAP, LDAP, Active Directory ).

Strong UAT / Functional Test Lead Profiles

Mandatory (Experience 1): Must have minimum 7 years of overall testing experience, with at least 3 years of recent UAT experience, primarily in manual testing for large enterprise or government project

Mandatory (Experience 2): Must have worked on minimum 2 national-level e-Governance, public sector, enterprise, or marketplace projects in a UAT lead or ownership role

Mandatory (Experience 3): Must have 3+ years of team handling experience, leading 7–8 QA/UAT members, including task assignment, review, mentoring, and delivery ownership

Mandatory (Experience 4): Must have complete ownership of UAT activities, including UAT planning, execution, acceptance sign-off, defect management, retesting, and regression cycles.

Mandatory (Skills 1): Must have strong hands-on manual testing experience, with the ability to create test scenarios and test cases from BRDs, user stories, functional documents, and Figma/UI screens.

Mandatory (Skills 2): Must be able to understand HLD/LLD documents and API specifications and perform manual API testing based on business logic.

Mandatory (Education): Must have BE/BTech/MTech/MBA (BSc/BCA alone is not acceptable; with Bsc/BCA candidates must have a relevant postgraduate degree MCA/MTech)

Mandatory (Exclusion): Do not consider candidates with automation-heavy profiles or those lacking strong manual UAT and leadership experience

ITKEDU is an international EdTech company focused on practical IT education and career transformation. We help students gain in-demand tech skills and successfully start careers in the IT industry through structured programs, mentorship, and real-world practice.

Role Overview:

We are looking for a Placement Manager / Coordinator who acts as the primary link between the organization (usually a university or training center) and the professional job market. The core mission of this role is to ensure that students or job seekers are successfully matched with suitable employment opportunities.

Key Responsibilities:

The role is multifaceted, blending relationship management with career coaching:

Corporate Relationship Management: Build and maintain a network of industry partners to secure job openings.

Candidate Preparation: Organize workshops on resume building, mock interviews, and soft skills training to enhance student employability.

Recruitment Logistics: Coordinate the end-to-end interview process, including scheduling, venue booking (auditoriums/labs), collecting feedback, and analyzing results.

Data & Analytics: Track placement statistics (average salary packages, placement rate) and report on program effectiveness. Monitor progress until job offers are received.

Negotiation: Act on behalf of candidates to negotiate job offers, employment terms, and eligibility criteria with potential employers.

Requirements:

• At least 1 year of experience as a Placement Manager or HR Manager.
• Experience in an EdTech company.
• Experience working with junior specialists.
• Strong objection-handling skills.
• Structured and result-oriented mindset.
• Professional proficiency with platforms such as LinkedIn, Wellfound, Naukri, etc.
• Excellent business communication and professional correspondence skills.
• Ability to conduct career consultations.
• Ability to support motivation and help candidates overcome setbacks.

We Offer:

• Direct impact on people’s lives and real social value.
• Opportunity to build and scale the placement function in a fast-growing company.
• Competitive base salary plus performance-based bonus.
• Fully remote work format.

I would like to highlight that this role considers a lot of communication, emails, texting and tight interaction with IT experts.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

Opportunity

Create marketing material for our growth initiatives, social media platforms, and branding collaterals. The ideal candidate should have an eye for clean, simple, and artful visual design. A successful candidate will be able to translate high-level requirements into visual elements that align with the language of our products. 

What you will do:

• Develop out-of-the-box campaigns for Social Media channels (Facebook, Twitter, Instagram, YouTube).
• Conceptualize original graphic design ideas that bring simplicity and user-friendliness to complex roadblocks.
• Present concepts, participate in design/project critiques and refine design direction.
• Establish and promote design guidelines, best practices, and standards.
• Conceptualize and execute creative for organic/paid content & campaigns of varying scale and complexity for the app products, PR & Brand.
• Maintain accuracy and attention to detail throughout the creative and production process.
• Collaborate with cross-functional teams comprising interaction designers, content writers and product managers.
  
  

Experience Range: 

Proven 3-4  years of work experience as a Graphic Designer. Must have worked on digital marketing creatives. Having worked in the app product space is a huge plus. 

Technical Expertise:

• Demonstrable graphic design skills with a strong portfolio.
• Knowledge of Color Theory, Visual Hierarchy, Typography, Colour, and Information Composition.
• Proficiency in Adobe Suite especially Photoshop and Illustrator.
• Be able to design eye-catching branding, iconography, and illustrations. 
• Be able to work in a cross-functional team as well as independently.
• Up-to-date with the latest visual trends, techniques, and technologies.
• Must be comfortable with a fast-paced environment
• BS/MS in Visual Design, Graphic Design, Communication Design is a plus.