Technical 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 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: Talent Acquisition Specialist

Experience Level: 2 + Years

Location: Bangalore, Karnataka (On-site).

Job Overview:

We are seeking an experienced and dynamic Talent Acquisition Specialist to join our team. As a Talent Acquisition Specialist, you will play a critical role in driving our talent acquisition strategy and ensuring we attract and hire top-tier talent to support our company's growth and objectives.

Responsibilities:

• Develop and execute comprehensive talent acquisition strategies aligned with the company's goals and objectives.

• Utilize various channels and platforms to proactively source, engage and build a robust pipeline of qualified candidates for current and future hiring needs.

• Conduct thorough screening and assessment of candidates to ensure alignment with job requirements, cultural fit and potential for long-term success within the organization.

• Coordinate and facilitate interviews, ensuring a positive candidate experience while effectively evaluating candidates' skills, qualifications and potential.

• Collaborate with hiring managers to develop competitive and compelling offers, negotiate terms and facilitate the offer acceptance process.

• Contribute to employer branding initiatives and recruitment marketing efforts to enhance the

company's reputation as an employer of choice and attract top talent.

• Provide regular reports and insights to the supervisor, identifying areas for improvement and optimization

• Stay abreast of industry trends, best practices and innovative recruitment strategies and continuously seek opportunities to enhance and optimize the talent acquisition process.

• Build strong partnerships and collaborate effectively with internal stakeholders, including hiring managers, HR colleagues and leadership, to ensure alignment and success in talent acquisition

efforts.

Requirements:

• Bachelor's degree in Human Resources, Business Administration or a related field.

• 2+ years of progressive experience in talent acquisition, with a focus on full-cycle recruitment,

preferably in a fast-paced and dynamic environment.

• Proven track record of successfully sourcing, attracting and hiring top-tier talent across various functions and levels.

• Strong understanding of recruitment best practices, talent acquisition trends and employment laws and regulations.

• Exceptional communication, interpersonal and relationship-building skills, with the ability to effectively engage and influence stakeholders at all levels.

• High level of professionalism, integrity and discretion, with a commitment to upholding

confidentiality and ethical standards.

• Demonstrated ability to thrive in a collaborative team environment while also being able to work autonomously and drive results independently.

Job Title : RPA UiPath Developer

Positions : 3

Experience : 5+ Years

Work Location : Bangalore (Hybrid)

Working Days : 5 Days

Key Requirements :

• 5+ Years of experience with UiPath RPA (Studio and Orchestrator) as an end-to-end automation developer.
• UiPath Professional Developer or Solutions Architect certification.
• Strong expertise in Agile project delivery methods and tools.
• Advanced skills in web scraping (e.g., Computer Vision, OCR) and API integrations.
• Excellent verbal, written, and presentation skills.
• Bachelor's degree in Computer Science, Information Systems, or equivalent.

Key Responsibilities :

• Collaborate with clients for requirement gathering and process analysis.
• Lead end-to-end RPA solution design, development, and delivery.
• Configure, test, and deploy integrations with internal and external databases.
• Develop and maintain documentation (e.g., PDD, SDD).
• Mentor junior developers and conduct code reviews.
• Ensure best practices (e.g., RE framework, naming conventions).
• Guide UiPath Orchestrator integration and deployment.
• Manage source code repositories (GIT) and REST API usage.
• Provide support for user testing, issue resolution, and customer relationship teams.

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

• 6 to 9 yrs You can write backend code using primarily Java
• You can contribute to frontend code stack in ReactJS or other Javascript framework
•  front-end technologies (ReactJS /AngularJS) experience
• 3+years of experience with web application development
• 3+ years of database experience
• 3+ years of Webservices or API Development experience
• 3+ years of experience with Java development
• Web Framework experience with Spring MVC
• Strong work experience with Java, Spring Boot, Microservices, MongoDB
• Web UI experience with CSS, AJAX, JavaScript, Bootstrap, AngularJS / ReactJS
• Familiarity and working knowledge Docker, Jenkins
• Database and caching experience, SQL and NoSQL (SQL, Postgres)

Role : Frontend Developer

Department : Technology Team

Experience : 2 - 3 Years of working experience in Frontend 

Proficiency using modern web development technologies and techniques, including

(HTML5, JavaScript) 

Location : South Delhi; 5 Day Working

Qualification : Bachelor’s degree in Computer Science or related field

Major Skills : JavaScript and ES6; HTML5/CSS3, Minimum 1 year flutter experience, etc

Requirements :

• Experience with Node.js as a backend framework and MongoDb or dynamodb (NoSQL)
• Experience with AWS and bitbucket
• Knowledge of integrating HTML with JAVA

Responsibilities :-

• Experience working with front-end web development and have worked on frameworks

like react js, angular js and / or Flutter

• Architect and develop a scalable and maintainable website/app
• Proven experience in troubleshooting, investigated and solved UI performance issues
• Architect solutions, establish best practices and introduce/implement new technologies.

• Knowledge of industry standard software best practices, development lifecycle processes and Agile and SCRUM methodologies

Preferred Qualities :-

• Ability to meet deadlines
• Assertive and go getter attitude
• Strong team player
• Analytical mind
• Relationship building
• Strong data understandings
• Strong problem-solving skills

We are a growth-oriented, dynamic, multi-national startup, so those that are looking for that startup excitement, dynamics, and buzz are here at the right place. Read on -

FrontM (http://www.frontm.com/" target="_blank">www.frontm.com) is an edge AI company with a platform that is redefining how businesses and people in remote and isolated environments (maritime, aviation, mining....) collaborate and drive smart decisions.

Successful candidate will lead the back end architecture working alongside VP of delivery, CTO and CEO

The problem you will be working on:

- Take ownership of AWS cloud infrastructure

- Overlook tech ops with hands-on CI/CD and administration

- Develop Node.js Java and backend system procedures for stability, scale and performance

- Understand FrontM platform roadmap and contribute to planning strategic and tactical capabilities

- Integrate APIs and abstractions for complex requirements

Who you are:

- You are an experienced Cloud Architect and back end developer

- You have experience creating AWS Serverless Lambdas EC2 MongoDB backends

- You have extensive CI/CD and DevOps experience

- You can take ownership of continuous server uptime, maintenance, stability and performance

- You can lead a team of backend developers and architects

- You are a die-hard problem solver and never-say-no person

- You have 10+ years experience

- You are very sound in English language

- You have the ability to initiate and lead teams working with senior management

Additional benefits

- Generous pay package, flexible for the right candidate

- Career development and growth planning

- Entrepreneurial environment that nurtures and promotes innovation

- Multi-national team with an enjoyable culture

We'd love to talk to you if you find this interesting and like to join in on our exciting journey