Sales Executive

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.

Strong Performance Marketing Profile

Mandatory (Experience 1) – Must have 3+ YOE in hands-on experience in performance marketing

Mandatory (Experience 2) – Must have experience in planning and executing lead generation campaigns on google, fb, Linkedin, managing a portfolio of minimum 10 Lakh

Mandatory (Experience 3) – Must have handled budget of >1 cr per month

Mandatory (Skills 1) – Must have knowledge of user funnels, conversion tracking, performance metrics etc

Mandatory (Company) - B2C EdTech companies

Mandatory (Location): Candidates from Mumbai only

Preferred

Preferred (Skills 1) – Experience in platforms like Tiktok and Pinterest

Preferred (Skills 2) – Experience using AI tools for various marketing work

Responsibilities:

• Design, build, and maintain high-performance, reusable, and reliable code.

Requirements:

• Strong knowledge of swift.
• iOS app architecture.
• REST API Integration.
• Experience in creating fluid animations using UIKit animations and transitions
• Proficient understanding of code versioning tools, such as Git.
• Familiar with APN and Firebase Push notifications.

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

We are looking for a self-driven candidate for the BDE post, 

Prefer experience with CRM sales, Digital Marketing and IT Sales for Web Designing and Web Development.

Identify key buying centres to expand the net new client base

Leverage key best practices to drive and successfully generate new business opportunities

Build and effectively manage a list of new clients to drive business development.

Collaborate with internal resources and external networks to prioritize and penetrate key accounts.

Utilizing account planning and time management tools to drive an increase in revenue

Establish and maintain executive relationships with clients

Mastery and consistent execution of tecHindustan’s internal sales methodology, and services

Manage forecast accuracy on a monthly/quarterly/annual basis

Successful track record in Lead Generation, sales and negotiation

Basic knowledge in Web Development, Mobile Apps Development, and Digital Marketing fields.

Excellent verbal and written communication skills

Possesses strong organizational and time-management skills.

Proven ability to plan and manage resources

Team player with strong analytical skills and the ability to understand and resolve complex problems.

Nice To Have:

Any sales or business development certifications

Experience with managing freelancing portal profiles dedicatedly

Contracts Management

We are hiring a Recruitment Executive who can take care of hiring and team building.

Job Roles and Responsibilities:

• Coordinate with managers to identify staffing needs.
• Determine selection criteria.
• Source potential candidates through online channels (e.g. Job portals , Social media platforms, Professional networks).
• Plan interview and selection procedures, including screening calls, assessments and in-person interviews.
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System.
• Design job descriptions and interview questions that reflect each position's requirements.
• Lead employer branding initiatives and manage a team of Recruitment executives.
• Forecast monthly, quarterly and annual hiring needs by department.
• Foster long-term relationships with past applicants and potential candidates.

Requirements:

• Must have experience in Non IT and leadership roles hiring, preferably for startups.
• Proven work experience (minimum 3+ years) as a Recruitment Specialist or similar role.
• Experience in volume/bulk hiring for Sales roles.
• Familiarity with social media, resume databases and professional networks.
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods.
• Excellent verbal and written communication skills.
• A keen understanding of the differences between various roles within organisations.
• B-Tech or MBA in Human Resources Management.