Business Development Manager

Position : Lead – Java Full Stack Developer

Experience : 7 to 12 Years

Location : Kochi / Thiruvananthapuram / Remote

Notice Period : Immediate to 15 Days

Open Positions : 1

Role Overview :

We are looking for a Lead Java Full Stack Developer with strong expertise in Java (Java 21, Spring Boot, and Hibernate), Angular (v19), and AWS to lead agile scrum teams and drive end-to-end feature delivery.

Key Skills Required :

• Java 21, Spring Boot MVC, Spring Data, Hibernate, Gradle
• Angular 19, HTML5, CSS3, JavaScript, REST APIs
• PostgreSQL / RDBMS / NoSQL
• AWS services: S3, Secrets Manager, CloudWatch
• CI/CD (Jenkins, GitHub), Docker
• Unit Testing (Jasmine/Karma or Jest)
• Tools: JIRA, Azure DevOps, Confluence
• Strong in design patterns, OOPs concepts, and performance optimization
• Excellent debugging and communication skills

Responsibilities :

• Design, develop, and deploy scalable full stack solutions
• Lead sprint tasks, perform code reviews, and ensure code quality
• Collaborate with stakeholders and convert requirements into technical specs
• Participate in Agile ceremonies and follow DevOps/CI-CD best practices
• Guide team members and promote technical best practices

Interview Process :

1. Technical Round
2. 2–3 Technical Rounds
3. Final Technical Discussion

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 and corporations 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, and coders who believe Moshi Moshi is an experience rather than a

company.

Job Role: Social Media Account Manager

Experience Level: 2+ years in Agency set-up

Location: Bangalore, On-site

Job Overview:

We are seeking an experienced and strategic-minded Social Media Account Manager for our client-based social media team. This role requires a dynamic individual who can execute effective social media campaigns giving great results that meet with client’s objectives, foster a cohesive team environment, and cultivate strong client relationships. The ideal candidate should possess a deep understanding of social media dynamics, a proven track record in team leadership, and exceptional communication skills.

Job Description:

● Create campaign strategies and monitor the execution to achieve the brand objectives.

● Manage social handles of the brand, like Instagram, Facebook, LinkedIn, X etc.

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

● In-depth knowledge of social media marketing, market trends, integration of online with offline marketing and reporting.

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

● Work with copywriters and designers to ensure content is well-suited and appealing to the defined target group for respective brands.

● Communicate with industry professionals and 3rd party vendors if and when required.

● Provide constructive feedback to the team(copy & design) to achieve desired results.

Requirements:

● Bachelor's degree in Marketing, Communications, or a related field (Master's degree preferred).

● 2+ years of proven experience in social media management within a client-based agency or related environment.

● Demonstrated success in devising and executing impactful social media strategies for a variety of clients.

● Excellent written and verbal communication skills, capable of conveying ideas clearly to both internal teams and clients.

● Profound understanding of social media platforms, algorithms, content formats, and best practices.

● Proven track record of generating exceptional results via integrated marketing strategies (online + offline).

Role Summary

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AIsolution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions.  Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills.  Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

We are looking for an enthusiastic marketing intern to join our marketing department at Quick Dry Cleaning Software.

Time: 3 Months

Location: Remote

Roles and Responsibilities:

• Support the marketing team in daily administrative tasks
• Execute and Assist in SEO Plans of Marketing Team
• Perform market analysis and research on the competition
• Manage and execute our branding on our social media channels
• Perform research on Keywords Ranking using different tools
• Manage our online presence on different websites
• Identify relevant Backlinking opportunities and work on them

Perks:

• Certificate of Internship Completion
• Competitive Work Environment
• Flexible working hours
• Excellent Learning Opportunities

Key Responsibilities

1. Advance Licence & DGFT Compliance

 Apply, monitor, and close Advance Authorisations, EPCG, and LUT

Bonds.

 Maintain up-to-date records for Customs, DGFT, and Bank obligations.

 Ensure timely submission of documents for licence redemption and

audits.

2. Purchase & Imports

 Handle procurement of APIs, intermediates, chemicals, solvents, and lab

materials (domestic & international).

 Evaluate vendors, negotiate contracts, and ensure cost-effective

sourcing.

 Prepare import documentation (Bill of Entry, CHA coordination, landing

cost analysis).

 Maintain vendor database and track supplier performance.

3. Export Documentation & Coordination

 Prepare and verify export documents: Invoices, Packing Lists, Shipping

Bills, RODTEP, Drawback claims, BRCs, and COO.

 Coordinate with CHA, freight forwarders, banks, and customers to ensure

smooth export operations.

 Follow up with customers for documents, payments, and compliance

requirements.

 Maintain statutory export records for audits and government

submissions.

Qualifications & Experience

 Graduate / Postgraduate in Commerce / Science / Management.

 Diploma / Certification in Export-Import Management or International

Tradepreferred.

 8–10 years of experience in API / Chemical / Pharma industry with hands-

on exposure to DGFT, Customs, Purchase, and Export Documentation.

 Strong working knowledge of ERP/SAP, MS Office, DGFT/ICEGATE, and

banking documentation portals.

Skills & Competencies

 In-depth understanding of export-import regulations, pharma compliance,

and customs laws.

 Excellent negotiation and supplier management skills.

 Strong attention to detail in documentation and reporting.

 Good interpersonal skills for cross-department coordination.

 Ability to work independently and manage multiple responsibilities.

Why Join Us

 Opportunity to work in a globally recognized pharma company with 45+

years of excellence.

 Exposure to international markets, licensing, and regulatory compliance.

 Role with high responsibility and independence.

• Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
• Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
• Good knowledge of SQL querying.
• Strong skill in analysing data and uncovering patterns using SQL or Python.
• Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
• Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
• Experience in big data technologies a big plus.
• Experience in machine learning, especially in data quality applications a big plus.
• Experience in building data quality automation frameworks a big plus.
• Strong experience working with an Agile development team with rapid iterations. 
• Very strong verbal and written communication, and presentation skills.
• Ability to quickly understand business rules.
• Ability to work well with others in a geographically distributed team.
• Keen observation skills to analyse data, highly detail oriented.
• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
• Able to identify stakeholders, build relationships, and influence others to get work done.
• Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.

Analytics Job Description

We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will

partner closely with leaders across the organization, working together to understand the how

and why of people, team and company challenges, workflows and culture. The team is

responsible for delivering data and insights that drive decision-making, execution, and

investments for our product initiatives.

You will work cross-functionally with product, marketing, sales, engineering, finance, and our

customer-facing teams enabling them with data and narratives about the customer journey.

You’ll also work closely with other data teams, such as data engineering and product analytics,

to ensure we are creating a strong data culture at Blend that enables our cross-functional partners

to be more data-informed.

Role : DataEngineer 

Please find below the JD for the DataEngineer Role..

  Location: Guindy,Chennai

How you’ll contribute:

• Develop objectives and metrics, ensure priorities are data-driven, and balance short-

term and long-term goals

• Develop deep analytical insights to inform and influence product roadmaps and

business decisions and help improve the consumer experience

• Work closely with GTM and supporting operations teams to author and develop core

data sets that empower analyses

• Deeply understand the business and proactively spot risks and opportunities

• Develop dashboards and define metrics that drive key business decisions

• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,

and Workato

• Design our Analytics and Business Intelligence architecture, assessing and

implementing new technologies that fitting

• Work with our engineering teams to continually make our data pipelines and tooling

more resilient

Who you are:

• Bachelor’s degree or equivalent required from an accredited institution with a

quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist

• Must have strong SQL and data modeling skills, with experience applying skills to

thoughtfully create data models in a warehouse environment.

• A proven track record of using analysis to drive key decisions and influence change

• Strong storyteller and ability to communicate effectively with managers and

executives

• Demonstrated ability to define metrics for product areas, understand the right

questions to ask and push back on stakeholders in the face of ambiguous, complex

problems, and work with diverse teams with different goals

• A passion for documentation.

• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a

dynamic environment.

• A bias towards communication and collaboration with business and technical

stakeholders.

• Quantitative rigor and systems thinking.

• Prior startup experience is preferred, but not required.

• Interest or experience in machine learning techniques (such as clustering, decision

tree, and segmentation)

• Familiarity with a scientific computing language, such as Python, for data wrangling

and statistical analysis

• Experience with a SQL focused data transformation framework such as dbt

• Experience with a Business Intelligence Tool such as Mode/Tableau

Mandatory Skillset:

-Very Strong in SQL

-Spark OR pyspark OR Python

-Shell Scripting

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.

Candidate is expected to do:-

- Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails
- Understand customer needs and requirements
- Route qualified opportunities to the appropriate sales executives for further development and closure
- Research accounts, identify key players and generate interest.

- Maintain and expand your database of prospects within your assigned territory
- Team with channel partners to build pipeline and close deals.

Requirements:-
- Min graduation but we prefer people with MBA (marketing)

- folks with titles – Inside sales in software / Business development

- Need to have a sale quota

- Proven inside sales experience.
- Track record of over-achieving quota.

- Strong phone presence and experience dialing dozens of calls per day.
- Proficient with corporate productivity and web presentation tools.
- Excellent verbal and written communications skills.
- Strong listening and presentation skills.
- Ability to multi-task, prioritize, and manage time effectively.

Shift Timing : US 6:30 pm to 3:30 pm