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ROLES AND RESPONSBILITIES:

The Ad Sales Manager will drive revenue growth by securing advertising partnerships. This role involves acquiring new clients, developing relationships with key clients, crafting impactful ad strategies, and leveraging insights to deliver value-driven advertising solutions.

KEY RESPONSIBILITIES:

• Build and manage a robust sales pipeline from scratch—sourcing, qualifying, and converting leads.
• Design and implement a CRM system (e.g., HubSpot, Zoho, Salesforce) for tracking and managing sales activity and funnel performance.
• Develop customized média proposals and pitches based on client objectives and budget.
• Manage sales pipelines and maintain accurate forecasts.
• Report key metrics and insights to stakeholders, ensuring transparency in campaign success and revenue generation.

IDEAL CANDIDATE:

• Bachelor’s degree in marketing, Advertising, Business, or a related field. MBA is a plus.
• 2–8 years of experience in ad sales, média sales, or related roles, in the Tech space.
• Proven track record of meeting or exceeding revenue targets.
• Deep understanding of ad sales processes and digital advertising platforms.
• Strong interpersonal, negotiation, and relationship-building skills. Excellent communication and presentation abilities.

PERKS, BENEFITS AND WORK CULTURE:

• Flexible work hours and leaves
• Salary advance
• Maternity/Paternity leave benefits & adoption assistance
• Butler & Concierge services
• Team Off-Sites & Celebrations

BEYOND WORK:

• Insurance benefits for you and family
• Interest-free loans
• Gift vouchers for special moments
• Fully equipped Gym
• Education Sponsorship Programs

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

• fine-tuning or LoRA, QLoRA, PEFT exposure
• MCP server authoring
• eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
• open-source AI contributions
• multi-modal models (vision, audio)

Required experience:

• Minimum 1 year of experience in Web & Backend Development using Python

Overview

We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Job Description – Inside Sales Executive

About Accordible:

Accordible is a growing B2B facility management and engineering services company serving more than 600 clients across India. Our clientele includes hotels, hospitals, corporate offices, malls, commercial establishments and other institutional facilities.

We provide professional facility management, technical manpower, housekeeping, kitchen duct cleaning, air duct cleaning, HVAC and specialised project-based services. We are building a performance-driven sales team capable of developing strong client relationships and supporting the company’s pan-India growth.

Position Overview:

The Inside Sales Executive will be responsible for generating new business opportunities through outbound calling, email outreach, online research and professional networking platforms.

The role involves identifying potential clients, connecting with decision-makers, understanding preliminary service requirements, qualifying leads and coordinating meetings for the sales and business development team.

The ideal candidate should have 1–2 years of experience in inside sales, tele-sales, lead generation or B2B client outreach. The candidate must be confident in communicating with corporate clients, managing regular follow-ups and working towards defined sales targets.

Key Responsibilities:

1. Lead Generation and Prospecting

• Identify prospective clients through LinkedIn, online research, business directories, industry databases and other lead-generation platforms.
• Conduct outbound calling, email campaigns and professional messaging to generate business enquiries.
• Develop and maintain a database of target companies, decision-makers and relevant contact details.
• Identify suitable prospects across industries such as hospitality, healthcare, commercial real estate, corporate offices, retail and facility management.
• Qualify leads based on client requirements, business potential, location, service requirement and decision-making authority.

2. Client Communication and Engagement

• Initiate professional conversations with facility managers, purchase teams, administration heads, engineering teams and other decision-makers.
• Introduce Accordible’s services clearly and explain their relevance to the prospect’s business requirements.
• Understand initial client requirements and collect the necessary information for further discussion.
• Respond to preliminary client queries and share service profiles, presentations and company information.
• Schedule meetings, site visits, presentations or calls for qualified opportunities.
• Maintain consistent follow-up with prospects until the opportunity progresses to the next sales stage.

3. Sales Pipeline Management

• Maintain an organised pipeline of new leads, active follow-ups, meetings, proposals and potential business opportunities.
• Update lead status, communication history, next follow-up date and meeting outcomes in the CRM or internal sales tracker.
• Ensure that no qualified lead is missed due to delayed or incomplete follow-up.
• Coordinate with the sales team for further discussions, site assessments, quotations and commercial negotiations.
• Follow up on proposals and quotations under the guidance of the Team Lead.

4. Proposal and Internal Coordination

• Collect complete client requirements before forwarding the opportunity for proposal preparation.
• Coordinate with operations and relevant internal departments to understand service feasibility, manpower requirements and execution timelines.
• Assist in preparing proposals containing the scope of work, pricing, service frequency and commercial terms.
• Ensure that proposals and quotations are shared with clients within the defined turnaround time.
• Support the preparation and follow-up of approximately 20–25 proposals per month, depending on qualified opportunities.

5. Market Research

• Research new industries, companies, geographical markets and potential business segments.
• Track market developments, client requirements, competitor activities and service trends.
• Identify potential opportunities for cross-selling and upselling Accordible’s services.
• Provide market feedback to the Team Lead regarding client expectations, pricing concerns and competitor positioning.

6. Target Achievement

• Work towards monthly targets related to lead generation, qualified opportunities, meetings and proposal conversions.
• Maintain the required level of daily outreach and follow-up activity.
• Improve response and conversion rates through structured calling, professional communication and timely follow-ups.
• Take ownership of assigned leads and maintain consistent progress towards defined sales objectives.

7. Reporting and Documentation

• Maintain accurate daily records of calls, emails, follow-ups, meetings and lead status.
• Submit daily and weekly sales activity reports.
• Prepare regular updates on qualified leads, meetings scheduled, proposals submitted and pending follow-ups.
• Track individual performance against assigned targets.
• Maintain complete and accurate client data in the CRM or internal tracking system.

Qualifications and Experience:

• Graduate degree in Business Administration, Marketing, Commerce, Management or a related field.
• 1–2 years of experience in inside sales, B2B tele-sales, lead generation, business development or corporate client acquisition.
• Experience in facility management, hospitality services, housekeeping, technical services, HVAC, manpower supply or other B2B service industries will be an advantage.
• Basic understanding of sales pipelines, lead qualification and follow-up processes.
• Working knowledge of CRM systems, Microsoft Excel, Google Sheets, email communication and online research platforms.

Skills and Competencies:

• Strong verbal and written communication skills.
• Confidence in cold calling and interacting with corporate decision-makers.
• Good listening and requirement-understanding skills.
• Ability to build professional rapport with prospective clients.
• Strong follow-up and client coordination capabilities.
• Target-oriented and self-motivated approach.
• Good organisational and time-management skills.
• Ability to maintain accurate records and work systematically.
• Willingness to learn about technical and facility management services.
• Ability to work effectively in a fast-paced and performance-driven environment.

What We Offer:

• Competitive salary with performance-linked incentives.
• Opportunity to work with corporate and institutional clients across India.
• Exposure to B2B sales, facility management and engineering service solutions.
• Structured training on services, lead generation and corporate sales processes.
• Supportive and performance-oriented working environment.
• Career progression based on performance and capability.

REVIEW CRITERIA:

• Strong Credit & Risk strategist profile
• Must have 2.5+ years of experience as credit and risk strategist/analyst in unsecured personal loan in B2C Fintech Product Companies (or NBFC)
• Must have strong understanding of automated underwriting and SMS underwriting for lending
• Must have experience with scorecards, rule engine, bureau data, device signals and behavioural insights
• B2C Fintech Product companies 

ROLE & RESPONSIBILITIES:

We are looking for a Credit & Risk Lead who can craft smart, data-driven credit strategies to scale the app while keeping delinquencies low.

WHAT YOU’LL DO:

• Build and refine credit strategies for short-tenure, small-ticket unsecured personal loans.
• Work with Data Science to improve decision engines, scorecards, rules, and real-time underwriting models.
• Create sharp risk segmentation using behaviour, device signals, bureau data, fraud patterns, and portfolio trends.
• Analyse bounce rates, roll rates, early-bucket trends, and cohort behaviour to identify segments driving delinquencies.
• Share clear insights with Collections to boost pre-due and early DPD performance and improve cure rates.
• Track vintages, cohorts, and DPD curves to iterate policies, limits, and approval logic continuously.
• Strengthen fraud detection, identity checks, and thin-file underwriting frameworks to ensure clean approvals.
• Own policy governance, compliance, documentation, and alignment with RBI Digital Lending Guidelines.
• Stay ahead of market trends, competitor practices, and regulatory shifts to keep the risk engine future-ready.

IDEAL CANDIDATE:

• 2.5+ years in unsecured personal loan risk within a fintech or NBFC.
• Strong understanding of digital underwriting, policy design, and credit decisioning for short-tenure PL.
• Experience working with scorecards, rule engines, bureau data, device signals, and behavioural insights.
• Ability to work closely with Data Science, interpret large datasets, and convert insights into clear credit actions.
• Strong communication, cross-functional collaboration, and a proactive, analytical mindset.

PERKS, BENEFITS AND WORK CULTURE:

• Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
• Best of both worlds: startup energy + listed company stability.
• Competitive pay and fast-track growth.

LogiNext is looking for a technically savvy and passionate Junior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 0 to 1 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Knowledge using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

Qualification, Experience & Critical Capabilities

• Graduation in Engineering (Preferred Computer Science)/ Post Graduation with 8 years (+) hands on experience working in SAP MDM / MDG.
• Experience in writing User Story/Business Requirement Specification, USDD (User Story Design Document)/Functional/Technical Specifications and understand Devops, Agile methodology/framework.
• Act as a partner to the Business for Business Process Query Incidents, Small Change (Projects), Problem Management and define right solution from Design and Cost perspective by aligning with Chief Architect Group (CAG) as and when needed.
• Coordinates with business users and other IT departments to design, develop, implement, enhance and maintain complex solutions.
• Be able to support and challenge the Partners (Vendors) on quotation of Change efforts, Fulfill the role of a SME (subject matter expert), Oversee and support the development of the solution, Validate the functionality as per business needs, support testing (IST & UAT) and User training.
• Experience in collaboration with different domains (functions) within Syngenta and third-party Partners (Vendors).

Relevant Experience

• 8 years (+) experience working as SAP MDM / MDG Functional Analyst.
• Should have worked on implementation of MDM.
• Good to have: Exposure to migration of SAP MDM to MDG.

MDM:

• Experience in MDM configuration.
• Experience in Integrating business process requirements with the technical implementation of SAP Master Data Management / Governance.
• Set up Validation (Business) rules, Workflow process, Import/Syndication Maps.
• Setup and use of MDM Transport Management.
• Design understanding of material / products master repository architecture.
• Experience working on SAP MDM Production Support and New Enhancements.
• Knowledge of handling MDM integration with different systems. Ex MDM <> ECC, SFDC etc.
• Understanding the Business problem and the different Master data used in the Organization (say if its Material Master/Customer/Vendor/Finance Master data etc.).
• Develops and implements strategies to translate business requirements and models into feasible and acceptable designs to ensure that business needs are met.
• Once the understanding phase is done Functional Analyst will have to work with vendor to provide a Solution through SAP MDM and then design and Implement the solution end to end.
• Strong hands on experience in MDM Console, Data Manager, Import Manager, Syndicator, Workflow, Data modeling, Standardization, Cleansing and SAP ECC.
• Consultant should try to wider there view for all the different platforms that are used with MDM such as Netweaver , XI, ABAP etc.
• Identifies areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

MDG:

• Configuration exposure with MDG product / material data objects.
• Experience in UI modelling (Design and Creation of UI, Value restriction and Derivation rules).
• Understanding and familiarity with MDG application framework and various governance API's.
• Able to perform MDG configurations and customizations in areas like data modeling, process modeling, key mapping, duplicate checks, validations, replication and MDG error handling.
• Knowledge in activation and configuration of the MDG modules & components.
• Expertise in Data Model Enhancement, Data Transfer (DIF/DEF), Data Replication Framework (DRF) via ALE / IDOC, key and value mapping.
• Able to perform MDG Configurations and Customizations in areas like Data Modeling, Process Modeling, Key Mapping, Duplicate checks, validations and MDG error handling experience.

General Experience and Prerequisites 

• Excellent written and verbal communication around issues, managing escalations.
• Experience in client facing and managing outsourced partners.
• A Team player with a collaborative attitude, proactive and ability to work under pressure.
• Good understanding of agile ways of working (DevOps model), knowledge on ITIL processes.
• Knowledge of Lean/ 6 Sigma, Design Thinking, Agile methodology.
• Certification in SAP MDM / MDG preferred.