ML Engineer II - Aws, Aws Cloud

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, Colive, MTV, Toit, 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.

Why Moshi Moshi?

The learning curve at Moshi Moshi is very high when compared to the industry average and that's primarily because you get to work with Companies / Brand managers / Marketers of different sizes and thought processes who push you to think better and faster. So, Hop on to the ride we dearly call Moshi Moshi and let's Say hello to the world.

PS:- We are also very close to a lot of food joints and breweries, so in case your manager/boss gives you a lot of work or is Expecting the Extra, you can quickly grab a recharge and continue with your everyday life struggles. We can't do much about the manager!

Job Role: Brand Research Executive

Experience Level: 1 - 2 years

Location: Bangalore, On site (with travel)

Job Description:

We’re looking for a Brand Research Executive for our Brand Consultancy Team, who enjoys leveraging well-informed brand and consumer insights to create compelling, channel-right narratives for brands. From discovering opportunity spaces through competitive audits to developing consumer journeys and brand positioning territories, you can tell brand stories across the digital landscape, and the best way to drive an audience to these stories.

What You’ll Do:

● Conduct qualitative research across primary and secondary sources, including interviews, field visits, observation, and desk research.

● Lead tabletop research: category landscapes, cultural trends, competitor behaviour, and brand communication patterns.

● Support and conduct brand audits across touchpoints including messaging, tone, presence, and positioning with the ability to identify patterns, gaps, and tensions that inform strategy.

● Synthesize research into clear, insight-led outputs that help brand strategists make informed decisions.

● Work closely with brand strategists, ensuring research findings are framed accurately, meaningfully, and in a way that can be translated into strategic direction.

● Prepare well-structured presentations that communicate not just findings, but implications.

● Manage research work streams across 1–2 brands at a time, with occasional overlap across multiple projects.

● Participate in on-ground research across Tier 1 and Tier 2 cities, engaging directly with consumers and cultural contexts.

What We’re Looking For:

● A strong inclination towards strategic thinking, you should be interested in how insights shape brand positioning, communication, and decision-making.

● Solid qualitative research sensibility, with the ability to move from observation to meaningful insight.

● Comfort with market and competitor research, and making sense of unstructured information.

● Clear communication and presentation skills, clarity of thought matters more than embellishment.

● Good project ownership: organised, dependable, and comfortable managing time across parallel tasks.

● Strong people skills and the ability to navigate conversations with consumers, clients, and internal teams.

● Willingness to travel for research along with the ability to converse in Hindi and at least one South Indian language is important.

Position Overview 

We are seeking a highly skilled Senior Java Developer to join our software development team. The ideal candidate will have strong hands-on experience in building scalable microservices using Java Spring Boot, deploying applications in Kubernetes, and integrating complex systems. The role involves close collaboration with customers to understand requirements, mentoring junior developers, and contributing to the overall architectural design of the system. 

Key Responsibilities 

• Develop and maintain scalable, high-performance microservices using Java Spring Boot. 

Design and implement containerized applications and manage deployments on Kubernetes clusters. 

Collaborate with clients and cross-functional teams to gather and refine requirements into effective technical solutions. 

Perform peer code reviews, ensuring code quality, consistency, and adherence to best practices. 

• Develop non-blocking and reactive Java code using reactive extensions to build efficient, resilient systems. 

Integrate multiple software systems and APIs to enable seamless data flow across platforms. 

Mentor and guide junior developers, promoting knowledge sharing, code quality, and development best practices. 

Basic Qualifications 

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 

5+ years of hands-on experience in software development using Java Spring Boot. 

Proven experience developing and deploying microservices in production environments. 

Working knowledge of containerization and orchestration using Docker and Kubernetes. 

Strong understanding of software integration patterns and RESTful API development. 

Excellent communication and collaboration skills, with the ability to work closely with 

customers and technical teams. 

Experience with CI/CD pipelines 

Knowledge of cloud platforms (AWS) and related services. 

Strong knowledge of BPMN with proficiency in one or more of Flowable, jBPM, Activiti, or Camunda. 

Preferred Qualifications 

Experience in integrating with Salesforce or similar enterprise CRM systems. 

Familiarity with frontend technologies, particularly modern JavaScript frameworks such as React or AngularJS. 

Experience with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. 

Strong analytical skills with a proactive approach to problem-solving.

Job Overview :

We are looking for an experienced PL/SQL Developer to join our Professional Services team. The role involves developing and configuring enterprise-grade solutions, supporting clients during testing, and collaborating with internal teams. Candidates with strong expertise in PL/SQL and Unix/Linux are preferred, along with exposure to cloud, DevOps, or financial domains.

Key Responsibilities

• Develop and configure software features as per design specifications and enterprise standards.
• Interact with clients to resolve technical queries and support User Acceptance Testing (UAT).
• Collaborate with internal R&D, Professional Services, and Customer Support teams.
• Occasionally work at client sites or across different time zones.
• Ensure secure, scalable, and high-quality code.

Must-Have Skills

• Strong hands-on experience in PL/SQL, SQL, and Databases (Oracle, MS-SQL, MySQL, Postgres, MongoDB).
• Proficiency in Unix/Linux commands and shell scripting.

Nice-to-Have Skills

• Basic understanding of DevOps tools (Jenkins, Artifactory, Docker, Kubernetes).
• Exposure to Cloud environments (AWS preferred).
• Awareness of Python programming.
• Experience in AML, Fraud, or Financial Markets domain.
• Knowledge of Actimize (AIS/RCM/UDM).

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent.
• 4–8 years of overall IT experience, with 4+ years in software development.
• Strong problem-solving, communication, and customer interaction skills.
• Ability to work independently in time-sensitive environments.

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.

Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.

What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.

Note :

Product based companies, Ecommerce companies is added advantage

Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience in Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus.
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

• Working with Managers to determine hiring needs for the business function team
• Sourcing potential candidates through online channels (e.g. social platforms and professional networks)
• Partnering with Recruiting firms
• Developing a strong relationship with various agencies and work with them to get the right candidates
• Developing strong stakeholder relationships (Hiring Managers) and maintaining effective communication channels
• Designing job descriptions and interview questions that reflect each position’s requirements
• Facilitating the initial conversation with all candidates
• Being the key contact for internal applicants
• Managing internal posting and employee referral programs
• Screening and recommending candidates to hiring managers, handling reference checks, HR round
• Collaborating with stakeholders to improve and streamline the talent acquisitions processes and workflows as we scale the business function teams
• Working closely with business leaders to influence and deliver quality assessment and high-touch candidate experience through all aspects of the recruitment

Desired Candidate Profile

• Graduate or Post-Graduate with 2-4 years of relevant experience in recruiting
• Hands-on experience with recruiting across level with a good understanding of various interview techniques and evaluation methods
• Strong organization, interpersonal and communication skills required
• Ability to deal appropriately with highly confidential information
• Ability to prioritize and juggle multiple tasks simultaneously
• Comprehensive knowledge of, and experience with, Microsoft Word/Excel/PowerPoint
• Hands-on experience with Avature or similar ATS is preferred    

Responsibilities :

1. Understand the requirement from the hiring manager and document the requirements according to the Ideal Candidate Profile.
2. Prepare and post jobs to appropriate hiring portals.
3. Source and recruit the right sales talent through the database; Naukri, LinkedIn & social media
4. Assess the applicant’s knowledge, soft skills, technical skills as per the requirement at hand.
5. Act as a point of contact and provide the client and candidate with excellent hiring experience.
6. Create influential relationship with client and candidate through the selection process.

Skill:-

• Candidate must be strong in logic and programming
• Perform all phases of software development life-cycle, including application design, programming, testing (unit and system level), internal documentation of code.
• Strong knowledge Native Android APIs
• Experience with internet technologies such as JSON, XML, HTTP, REST, AWS, MySQL
• Experience with analytics, crash reporting and other
• Core Data and integration with downstream REST APIs & services
• Familiarity with JavaScript frameworks like jQuery, AngularJS is plus
• Ability to work in a variety of client settings and in a team-oriented, collaborative environment
• Strong communication and client-facing skills with the ability to work in a consulting

Cloud Platform Developer:

• 8 to 12 years of platform development experience with good knowledge on any virtualized platform (VMware ESXi, Linux KVM, Openstack, AWS, etc)
• Candidate must understand how to instantiate/provision/package VMs on cloud platforms – OVF/OVA, qcow2, etc.
• Strong in Shell and Python scripting; Knowledge of Apache Maven is plus.
• Knowledge of Ansible or Terraform will be useful
• Knowledge of Rift.io / Open source MANO / Restful APIs will be plus
• Good knowledge of Linux OS fundamentals – IPCs (sockets, shared memory, etc), multi-threading, Semaphores, IP routing, etc.
• Experience of working in an agile software development environment is critical
• Exposure to multiple aspect of product lifecycle process including requirement gathering, functional specification, design, development, testing, and maintenance.