Business Analyst

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.

Role Summary

We are hiring a Data Engineer / ML Data Pipeline Engineer to build and operate the data backbone of the Enterprise AI platform:

What You'll Own

• Ingestion & ETL/ELT pipelines for heterogeneous project folders (PDF drawings, SVG files, IFC models, BBS.json bar-bending-schedule data, Excel exports, and AI agent output JSON).
• AWS-based data architecture: S3 raw/staging/curated/outputs structuring, partitioning, versioning, and lifecycle management; querying via Athena/Glue and warehousing via Redshift or Snowflake as needed.
• Data validation frameworks: GUID cross-referencing between SVG and BBS data, schema enforcement, duplicate/orphan detection, reference integrity checks, and structured validation reporting.
• Agent run logging & observability: designing the database schema and pipelines that track every AI agent run (inputs, outputs, status, errors, cost, retries, reviewer feedback).
• AI Factory monitoring dashboards: operational dashboards (failure rates, retries, latency, data quality) and business dashboards (throughput, cost per run, rework rate) for Power BI/QuickSight or equivalent.
• ML data pipeline support: dataset preparation, labeling/annotation workflows, human-in-the-loop review tooling, and dataset versioning for models that classify or QC drawing issues.
• APIs: designing and building FastAPI/Flask endpoints to trigger validation runs and expose agent processing status to internal tools.
• Data quality & testing discipline: idempotent pipelines, quarantine/reject handling, regression and reconciliation testing, and root-cause debugging when pipelines or query performance degrade in production.

Key Skills — Non-Negotiable (Must-Have, Strong Level)

• Python — production-grade scripting: file/folder handling, JSON/schema processing, clean error handling, not just notebook-level scripting.
• SQL — strong hands-on ability, including GROUP BY/HAVING for duplicate detection, window functions, and daily aggregate/rate calculations (e.g., success-rate queries).
• AWS S3 data handling — practical experience structuring buckets for raw/staging/curated data, versioning, and avoiding overwrite issues at scale.
• Data validation — demonstrable experience building validation logic (set comparisons, duplicate/missing detection, structured pass/fail reporting), not just "I write assertions."
• ETL/ELT pipeline design — end-to-end ownership of at least one pipeline: source → transform → storage → validation → monitoring → business outcome, with clear articulation of what they personally built.
• Query/warehouse engine judgment — working knowledge of when to use Athena vs. Redshift vs. Snowflake (or equivalent), partitioning, clustering, sort/distribution keys, and storage format trade-offs (Parquet vs. JSON vs. CSV).

Key Skills — Good to Have

• Dashboarding — Power BI / QuickSight (or equivalent) fact/dimension table design, KPI cards, drill-downs; medium-to-strong level is a plus but trainable.
• FastAPI / Flask — building real endpoints with request/response schemas and basic error handling; especially valuable for validation-trigger and agent-status APIs.
• ML data pipeline experience — dataset labeling, annotation platform design, train/test/validation splitting, dataset versioning; strong on the pipeline/data side rather than model training itself.
• Human-in-the-loop / review tooling — experience building or contributing to browser-based labeling/review platforms (session persistence, label schema, export formats).
• Large-scale metadata querying — experience making file discovery fast across large volumes (1,000+ projects, thousands of files each) via metadata index tables, event-based ingestion, or catalog tools like AWS Glue.

Role Summary:

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and Generative AI/Claude to work closely with clients, business stakeholders, and internal engineering teams. The ideal candidate will combine strong Data Engineering, Software Engineering, Databricks, and Generative AI skills with the ability to understand business problems and rapidly build, deploy, and optimize production-ready solutions. This is a client-facing, hands-on engineering role where you will work from problem discovery and solution design through POC development, production deployment, and ongoing optimization.

Key Responsibilities:

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable data, AI, and software solutions.
• Design and develop POCs and rapidly validate technical solutions.
• Convert successful POCs into reliable, production-ready applications.
• Work closely with client engineering and data teams during implementation and deployment.
• Troubleshoot production issues and continuously optimize deployed solutions.
• Act as a technical bridge between clients, delivery teams, data engineers, AI engineers, and architects.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize data ingestion, transformation, and ETL/ELT pipelines.
• Work with Databricks Lakehouse, Delta Lake, and Unity Catalog.
• Develop Databricks Workflows and production data pipelines.
• Implement data processing solutions for structured and semi-structured datasets.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Generative AI & Claude

• Build enterprise AI solutions using Claude and other Large Language Models (LLMs).
• Integrate Claude APIs into applications and business workflows.
• Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data.
• Work with embeddings, vector search, semantic search, and knowledge retrieval.
• Develop AI-powered applications for summarization, classification, information extraction, question answering, and document processing.
• Implement prompt engineering, structured outputs, tool/function calling, and context management.
• Develop and integrate AI agents and multi-step AI workflows where applicable.
• Evaluate LLM responses for accuracy, relevance, groundedness, latency, and cost.
• Implement appropriate AI guardrails, security, and data privacy controls.

Production & Deployment

• Deploy AI and data solutions into production environments.
• Work with APIs, microservices, Git, CI/CD, containers, and cloud platforms.
• Monitor application and pipeline performance and troubleshoot issues.
• Collaborate with Data Scientists and ML Engineers to productionize AI/ML models.
• Ensure solutions meet security, scalability, reliability, and maintainability requirements.

Required Skills & Experience

• 4+ years of experience in Data Engineering, Software Engineering, AI/ML Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse Architecture.
• Experience working with Generative AI / LLMs.
• Hands-on experience with Claude / Anthropic APIs is preferred.
• Experience with RAG, embeddings, vector databases, and semantic search.
• Strong understanding of REST APIs and enterprise integrations.
• Experience developing production-grade applications and data pipelines.
• Strong problem-solving and troubleshooting capabilities.
• Excellent communication and client-facing skills.

Preferred Skills

• Experience with Claude Code / Anthropic ecosystem.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, or other LLM platforms.
• Experience with LangChain, LangGraph, LlamaIndex, or equivalent frameworks.
• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, and CI/CD.
• Exposure to AI agents and agentic workflows.
• Knowledge of AI evaluation, guardrails, security, and responsible AI.
• Experience working in consulting, client delivery, or customer-facing engineering environments.

Key Competencies

• Strong customer-facing and stakeholder management skills.
• Ability to understand ambiguous business problems and translate them into technical solutions.
• Strong ownership and execution mindset.
• Ability to rapidly prototype, iterate, and productionize solutions.
• Strong analytical and troubleshooting skills.
• Comfortable working in fast-paced and dynamic client environments.
• Excellent written and verbal communication.
• Ability to work independently as well as collaboratively with distributed teams.

Job Title: Senior Conference Producer

Industry: Lifesciences, Conferences

Objective: To conduct primary and secondary research, perform SWOT, trend, and competitor analysis, and develop data-driven conference content across Biotech, Medical Devices, and Therapeutics industries.

Employment Type: Full Time (In-office)

Education: Graduate (Life Sciences, Biotechnology, or related field preferred)

Experience: 3+ years of experience in research, content development, or conference production

Working Days: Monday – Friday (Sat & Sun Off)

Shift Timings: 12 PM – 9 PM

Location: Andheri East, Mumbai

Introduction to Company:

Since 2016, the TT LifeSciences has been committed to delivering excellent educational events, conferences, and meetings to tightly targeted audiences in highly regulated industries.

At that time, most of the educational forums provided for specialised industries were general and colourless. They were designed to have broad appeal to companies operating in vastly different sectors. In trying to address the needs of too many people, they actually addressed none.

TT LifeSciences set out to do things differently. We are client-centred and carefully curate a programme designed for our clients’ needs. The result? Educational events that are tailored to the professionals who attend and provide a space for real growth.

We are proud to have grown to a global operation, with headquarters in both the UK and Asia. We serve some of the biggest healthcare names in the world, like Merit Medical, Getinge Group and Occlutech.

We have hosted over 100+ interactive and informative medical device conferences, bringing together professionals in niche markets who share similar concerns and challenges to learn,inspire and innovate.

Company Website: https://www.ttgroupworldwide.com

Benefits:

• Work life balance

• Rewards & Recognitions programs

• Employees completing three yearsreceive loyalty bonuses.

• Professional development and career advancement opportunities are actively encouraged.

• Health coverage includes medical insurance.

• Opportunity to work globally across Berlin, Germany, the USA, and Europe.

• Additional benefits include paid holidays, festive leaves, and team gatherings.

• Comprehensive perks such as Provident Funds and health insurance are provided.

• Conduct primary and secondary research to identify key trends, challenges, and emerging opportunities within the Life Sciences, Biotech, and Healthcare sectors.

• Lead, mentor, and support a team to achieve individual and collective goals.

• Perform SWOT, trend, and competitor analysis to identify market gaps and help shape conference content strategy.

• Develop conference agendas, topics, and speaker line-ups based on verified research insights and produce the events.

• Communicate directly with industry experts, clients, and speakersto validate research findings and gather fresh perspectives.

• Build and maintain relationships with clients, industry leaders, and associations for knowledge exchange and collaboration.

• Prepare detailed research briefs, content outlines, and analytical reports to support marketing and production teams.

• Work closely with the Conference Producer/Manager to conceptualize event themes and ensure strategic alignment with market needs.

• Support the creation ofspeaker invitations, proposal decks, and post-event reports.

• Coordinate with internal departments (marketing,sales, and design) to ensure seamless event execution.

• Maintain a strong understanding of industry news, competitor events, and global market developments.

Candidate Specification:

• Excellent verbal and written communications skills.

• Confident while working

• Strong work ethic

• International exposure

• To-do-attitude

• Willingnessto learn

• Long term approach

Required Skills:

• Graduate in Life Sciences, Biotechnology, or related discipline.

• 3+ years of experience in research, analysis, or conference content roles.

• Excellent verbal and written communication skills; ability to interact confidently with international professionals.

• Strong analytical mindset with proficiency in SWOT, trend, and competitor analysis.

• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

• Exceptionaltime management, multitasking, and attention to detail.

• Collaborative approach with the ability to work effectively within a global team.

Preferred Skills:

• Experience in conference research, business intelligence, or market analysis.

• Familiarity with Life Sciences, Biotech, or Healthcare sectors.

• Understanding ofstrategic content planning and event research 

workflows.

• Prior experience in client communication and stakeholder management.

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Designation: Technical Recruiter

Location: Indore (M. P.)

Duration : Full time

Roles and Responsibilities

• Should have experience of various job portal like Naukri.com, LinkedIn, Monster etc.
• Should have min 6 month  - 5  yrs. of experience in in -house / international recruitment.
• Sound understanding of all technology like ROR, React JS,  Java, .Net, PHP, Python, Android / Mobile development etc.
• Must be excellent in communication skills oral and written.

We are looking for a detail-oriented individual to join our team as a travel desk analyst. The responsibilities of the travel desk analyst include optimizing our travel operations, making travel arrangements over the phone or the internet, providing guidance on travel arrangements, and preparing budget reports.

To be a successful travel analyst desk, you should have a strong working knowledge of travel management processes and excellent attention to detail. Ultimately, a top-notch travel desk analyst is skilled at maintaining positive relationships with airlines and hotels and at providing a smooth travel experience.

Responsibilities:

·        Maintaining positive relationships with vendors of direct travel, such as car rentals, hotels, and airlines.

·        Negotiating preferred rates with vendors of direct travel.

·        Planning travel accommodations, booking flights, hotels, car rentals, and coordinating activities.

·        Managing and processing all travel-related documentation, including payments, itineraries, visas, medical, and legal forms.

·        Assisting with any travel-related issues that may arise.

·        Researching travel deals and evaluating prices and services.

·        Arranging travel accommodations for business visitors.

·        Creating, optimizing, and monitoring corporate travel policies.

·        Preparing travel budget reports.

·        Analysing and preparing reports on travel spend.

Requirements:

·        A bachelor's degree in tourism, travel or hospitality is required for corporate travel managers.

·        A minimum of 2 years’ experience in the travel industry.

·        Certification in travel or hospitality may be advantageous.

·        Knowledge of travel management processes.

·        The ability to build and maintain positive relationships with vendors of direct travel

·        Excellent attention to detail and organizational skills.

·        Good communication, customer service, and interpersonal skills.

·        A basic understanding of Geography.

·        Strong computer skills.

• Process driven software development has been essential to the growth of Dess and this exciting position is looking for a dynamic professional to further build and develop the software development processes and performance.
• Senior Software Engineer needs to be a self-motivated performer with high levels of ethics, trustworthiness and attention to detail. An ideal candidate would have rich experience in design,development and documentation from initial design through production. The position will require the candidate to perform in a fast paced environment

• Gain a clear understanding of customers' businesses and requirements;
• Plan execution methodology and identify fulfillment plan to address the requirements;
• Full lifecycle application development
• Designing, coding and debugging applications.
• Software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis
• Support, maintain and document software functionality
• Programming analytical skill with highly logical and analytical approach
• Manage documentation by working with other teams and consolidating all required types of reports for future use and test case scenarios.
• Ability to visualize data, concepts and work flows to create diagrams, charts and illustrations to supplement documentation.
• Maintain quality service by establishing and enforcing organization standards.
• Maintain professional and technical knowledge by benchmarking state-of-the-art practices.
• Timely reporting to provide visibility of performance to goal.
• Be data driven and flexible to changes with a natural passion for problem solving.
• Maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies.

• 4+ years of rich experience in the software development with advanced knowledge of JavaScript, C#,
• ASP.Net and SQL Server.
• A self-starter with the ability to work independently and as part of a team.
• Ability to work well in a results oriented environment with firm deadlines;
• Ability to perform multiple tasks effectively while being results-driven and patient
• Able to work both independently and as part of a team
• High degree of attention to detail and trustworthiness
• Strong analytical skills
• Capable of making timely, independent decisions
• Excellent oral, written and interpersonal communications skill
• Ability to think outside the box and generate and implement new ideas.
• Natural interest in team building and leadership with coaching/training skills.
• Excellent organizational skills

• Advise and discuss with the team on the architecture and requirements.
• Bring your experience for mobile User Experience.
• Set up actions to ensure high level of quality and satisfaction
• Build and maintain efficient and reliable code.
• Support continuous improvement by investigating alternatives and technologies.

• Bachelor’s Degree in Informatics Engineering or similar
• Minimum of 4+ years work experience in similar roles
• Strong knowledge in Front-end frameworks (React Native)
• Strong knowledge in the mobile language (swift, objective-c, java, kotlin)
• Experience in unit testing and TDD.
• Advance knowledge in using testing frameworks ( Karma, Jest, Appium, Cypress ).
• Experience with Agile Methodologies (Scrum, Kanban)
• Experience in CI/CD
• Having a coaching profile, good communication skills is crucial to ensure good exchange and sharing of information within and outside of the train
• Being able to provide based on the audience synthetic or detailed information is mandatory
• Being curious to continuously learn and being a leader in your domain of expertise
• Immediate or very low availability
• Fluent in English - written and spoken (mandatory)