OfficeAssistant

About us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha,

Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, coders and a puppy momo, who believe Moshi Moshi is an experience rather

than a company.

Job Role - Social Media Executive

Experience Level - 1 year

Location - Bangalore

Responsibilities:

● Create Campaign Strategies and monitor the execution to achieve the brand objective

● Objective Identification and delivery via curating the best digital strategy

● Managing and Supervising Facebook ads, Instagram Ads, Twitter Ads, and Linkedin Ads

● Handling social pages of Instagram, Facebook, LinkedIn, etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● Define the most important social media KPIs.

● In-depth knowledge of paid marketing and daily implementation, reporting, and running of

paid marketing on all social platforms.

● Measure the success of every social media campaign, as per required metrics

● Stay up to date with the latest social media best practices and updates

● Work with copywriters and designers to ensure content is informative and appealing or has

relevant writing capability.

● Monitor SEO and user engagement and suggest content optimization.

● Communicate with industry professionals and influencers to create a strong network via

social media.

● Provide constructive feedback to the team and train them to achieve desired results.

About AbleCredit

AbleCredit helps banks, NBFCs, and housing finance companies make faster, better-informed lending decisions through technology-enabled field verification, income estimation, borrower verification, and post disbursement portfolio monitoring. Our solutions enable financial institutions to improve operational efficiency, reduce risk, and accelerate lending decisions.

The Role

We're looking for a Manager – Pre-Sales & Solution Consulting to bridge the gap between customer requirements and our product capabilities.

As part of the Sales team, you will engage with prospective clients to understand their business processes, lending workflows, and operational challenges. You will evaluate solution feasibility, define the scope of Proof of Concepts (POCs), and work closely with Product, Engineering, and Operations teams to design solutions that align with customer requirements.

This role is ideal for someone who enjoys solving business problems, collaborating across teams, and translating customer needs into practical product solutions. While you will work closely with the Sales team, your primary responsibility is to ensure technical and business feasibility before a commercial commitment is made.

What You'll Do?

• Understand prospective clients' lending workflows, operational processes, and business challenges through discovery sessions.
• Gather, analyse, and document business requirements to determine how AbleCredit's platform can address customer needs.
• Conduct feasibility assessments for new client use cases and identify any product or implementation gaps.
• Define the scope, objectives, success criteria, assumptions, and timelines for client POCs.
• Collaborate closely with Product, Engineering, Operations, and Sales teams to design practical and scalable solutions.
• Recommend configuration approaches or process improvements based on customer requirements.
• Identify implementation risks, dependencies, and constraints early in the sales cycle.
• Support customer meetings by presenting solution workflows, product capabilities, and proposed approaches.
• Coordinate internal stakeholders to ensure POCs are well planned and executed as designed.
• Create clear solution documentation, requirement specifications, process flows, and implementation notes.
• Provide structured customer feedback to Product teams to support future product enhancements.
• Ensure a seamless handover of validated opportunities to the implementation or Customer Success teams once commercial discussions begin.

What We're Looking For?

• 2–4 years of experience in Pre-Sales, Solution Consulting, Solution Engineering, Business Analysis, Product Consulting, Implementation Consulting, or a similar customer-facing role within a B2B SaaS, FinTech, or enterprise technology environment.
• Strong experience gathering business requirements and translating them into solution designs.
• Ability to understand business processes and evaluate solution feasibility.
• Excellent communication and stakeholder management skills with the ability to engage business and operational teams.
• Strong analytical and problem-solving abilities with attention to detail.
• Experience coordinating with cross-functional teams including Product, Engineering, Operations, and Sales.
• Ability to manage multiple customer engagements simultaneously in a fast-paced environment.
• Comfortable preparing documentation such as business requirements, solution proposals, process flows, and POC plans.

Nice to Have

• Experience working with banks, NBFCs, lending platforms, or other BFSI organisations.
• Understanding of lending operations, credit workflows, field verification, or loan origination processes.
• Experience supporting enterprise software implementations or Proof of Concepts.
• Familiarity with APIs, system integrations, or workflow automation concepts.
• Experience using CRM and project management tools.

What Success Looks Like?

• Customer requirements are accurately understood and translated into well-defined solution plans.
• Feasibility assessments are completed with minimal rework during implementation.
• POCs are scoped clearly with realistic timelines and measurable success criteria.
• Strong collaboration between Sales, Product, and Engineering throughout the pre-sales lifecycle.
• Smooth transition of qualified opportunities to implementation teams with complete documentation and minimal knowledge gaps.

GEMBA CONCEPTS

Experience: ~3–5 years Type: Full-time

AI/ML Engineer

Location: Bengaluru, India (Hybrid)

About Gemba Concepts

Gemba Concepts is a lean manufacturing and technology consulting firm helping clients across pharma, manufacturing, and logistics

modernize how they operate. We build production systems that sit close to the shop floor — warehouse management, manufacturing

traceability, and an applied AI/ML platform whose flagship use cases are visual quality inspection and predictive maintenance. We’re a

tight engineering team that ships real systems for demanding, often regulated, environments.

The Role

We’re looking for an AI/ML Engineer to take ML capabilities from prototype to production. You’ll own models end-to-end — framing the

problem with stakeholders, building and validating the model, and deploying it as a reliable service that holds up against real-world, messy

industrial data. This is a hands-on building role, not a pure research seat: your work goes into client-facing systems.

What You’ll Do

Build and ship computer vision models for visual quality inspection (defect detection, classification, segmentation) that perform under

real factory lighting, throughput, and edge-case conditions.

Develop predictive maintenance models using sensor/time-series data — anomaly detection, remaining-useful-life estimation, failure

prediction.

Own the full ML lifecycle: data pipelines, feature engineering, training, evaluation, and deployment, with proper versioning and monitoring.

Deploy and serve models in production on Azure (AKS), and keep them healthy — track drift, retraining triggers, and latency.

Integrate LLM-based capabilities (we use the Claude API and self-hosted open models) into delivery and product workflows where they

add leverage.

Collaborate with product, engineering, and domain experts to translate fuzzy operational problems into well-scoped ML solutions — and to

know when ML is not the right answer.

Communicate results and limitations clearly to non-ML stakeholders, including clients.

What We’re Looking For

3–5 years of hands-on experience building and deploying ML models in production (not just notebooks or coursework).

Strong Python and the modern ML stack — PyTorch or TensorFlow, scikit-learn, NumPy/Pandas.

Solid grounding in at least one of: computer vision (CNNs, object detection/segmentation, image preprocessing) or time-series /

anomaly detection.

Practical MLOps experience: containerization (Docker), model serving, experiment tracking, and deploying on a cloud platform — Azure /

Kubernetes (AKS) is a strong plus.

Comfort working with imperfect, real-world data — labeling strategy, class imbalance, data drift, and validation that reflects production

reality.

Good engineering hygiene (Git, testing, code review) and the ability to write code others can build on.

Nice to Have

Experience with industrial / manufacturing data or regulated environments (pharma, 21 CFR Part 11 awareness).

Hands-on LLM integration experience — RAG, prompt engineering, working with APIs or self-hosted models (vLLM, Qwen, etc.).

Edge deployment experience (running CV models on-device / near the line).

Exposure to data pipeline tooling and orchestration.

What You’ll Get

Real ownership of ML systems that go into production for serious clients.

A lean, senior-heavy team where you ship fast and learn across the stack.

• Direct exposure to applied AI in manufacturing — a domain where the work has tangible, physical impact

Job Title: Senior AI Engineer 

Job Summary: 

We are seeking experienced Senior AI Engineers to join our AI team and drive the design, development, and deployment of cutting-edge AI solutions. You will work on exciting projects, such as sentiment analysis for support tickets, automated data insights, conversational interfaces, and zero-touch planning using AI. This role requires close collaboration with cross-functional teams, including Product and Data Engineering, to deliver impactful AI-driven features that transform our platform. 

Key Responsibilities: 

• Design, develop, deploy, and maintain ML models and AI infrastructure. 
• Collaborate with cross-functional teams to integrate ML models into production workflows. 
• Utilize AWS services, including Sage Maker and Bedrock, for model deployment and real-time monitoring. 
• Implement and manage CI/CD pipelines to ensure efficient and reliable model deployment. 
• Stay updated with the latest advancements in machine learning and AI best practices. 
• Monitor and optimise model performance, addressing issues related to scalability and efficiency. 
• Troubleshoot and resolve problems related to ML models and infrastructure. 

Requirements: 

• 5+ years of professional experience with Python programming. 
• Hands-on experience with Machine Learning Operations (MLOps). 
• Proven expertise in data engineering and ETL processes. 
• Strong knowledge of AWS services, including Sage Maker 3wand Bedrock. 
• Proficiency in setting up and managing Docker and CI/CD pipelines. 
• Experience with large language models (LLMs) and prompt engineering. 
• Familiarity with model performance monitoring and optimization techniques. 
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. 

- Must have 3+ years’ experience in ASP .NET with C# and VB.NET

- Must have at least 2 years’ experience in SQL Server

- Must have experience working with SOAP and REST Web Services

- Must have experience with SSRS and SSIS

- Must have some experience with MVC framework and Angular JS

- Must be able to work with basic CSS and HTML

- Must be able to work with jQuery and JavaScript

- Experience with Reporting Services, WCF, etc. would be a strong positive