
Job Role: Social Media Content Creator
Experience Level: 6 months- 2 years
Location: Bangalore, Onsite
Job Overview:
As a Social Media Content Creator, you will play a crucial role in crafting and curating content that resonates with our clients' target audiences. You will collaborate with the marketing team to develop and implement creative strategies, ensuring that all content aligns with the brand’s voice and objectives. You will be responsible for creating engaging content across various social media platforms to enhance our clients' brand presence and drive engagement.
Roles and Responsibilities:
● Develop engaging, creative, and innovative content for regularly scheduled posts, which enlighten audiences and promote brand focused messages.
● Curate, script, and act in engaging social media content, ensuring it is timely and relevant.
● Work closely with the creative team, clients, and other stakeholders to ensure content meets objectives and brand guidelines.
● Monitor social media trends, tools, and applications, and apply best practices to enhance content performance.
● Continuously explore new content formats and creative approaches to stay ahead in the digital landscape.
● Anticipate trends and plan content accordingly to ensure early and impactful delivery.
Roles Requirements:
● Proven experience as a social media content creator, preferably within an advertising agency or similar environment.
● Strong scripting, acting, and basic video editing skills.
● A creative mindset with the ability to generate innovative and engaging content ideas.
● Highly proactive with a sense of urgency and the ability to deliver content quickly.
● Ability to adapt to changing trends and client needs.

About Moshi Moshi
About
Founded in 2014 by two passionate individuals during their second year at Christ College, Bangalore, Moshi Moshi is a young, creative, and committed communication company that encourages clients to always "Expect the EXTRA."
Our diverse team of over 160+ people includes Art directors, Cinematographers, Content and copy writers, marketers, developers, coders, and our beloved puppy, Momo. We offer a wide range of services, including strategy, brand design, communications, packaging, film and TVCs, PR, and more. At Moshi Moshi, we believe in creating experiences rather than just running a company.
We are amongst the fastest growing agencies in the country with a very strong value system.
Below are the five of the nine principles we believe in strongly.
- Communicate Clearly.: Prioritize clear and open dialogue.
- Doing things morally right.: Uphold integrity in all endeavors.
- Dream it, do it.: Always Embrace optimism and a can-do attitude.
- Add logic to your life.: Ensure that rationality guides our actions.
- Be that fool.: Fearlessly challenge the impossible.
Come find yourself at Moshi Moshi.
Tech stack
Candid answers by the company
Moshi Moshi is a full-service creative agency that blends strategy with innovation to craft powerful brand experiences. From branding, digital marketing, and web development to video production and PR, we help businesses create impactful stories that stand out. With a bold, quirky, and result-driven approach, we turn ideas into unforgettable brand moments. 🚀
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Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
✅ Mandatory Skills
- Strong programming experience in C++ (C++11/14/17)
- Hands-on experience with Kubernetes (K8s)Application-level understanding
- Experience with StatefulSets & DaemonSets
- Good understanding of Linux systems
- Experience in multithreading and concurrency
- Strong problem-solving and debugging skills
⭐ Good to Have
- Experience in Microservices architecture
- Knowledge of Docker / containerization
- Basic knowledge of Python (for scripting/automation)
- Exposure to Distributed Systems
- Familiarity with CI/CD pipelines
- Experience with cloud platforms (AWS / Azure / GCP)
Role Overview
We are seeking an experienced Manager - Quality Control with 5-10 years of experience in brand jewelry
manufacturing. The ideal candidate will have a strong technical background, people management skills, and
direct experience handling customer interactions. This role demands a thorough understanding of jewelry
processes, quality control methodologies, and technical specifications.
Location: Andheri East, Chakala, SEEPZ
Compensation: ₹15 to ₹18 LPA
Day to Day-Key Responsibilities
Lead and manage the quality control department, ensuring all jewelry production meets the highest
standards.
Oversee customer interactions for the past 5 years, managing client expectations and addressing
quality concerns directly.
Apply Quality Control (QC) tools to monitor and improve the production process.
Ensure compliance with jewelry specifications, including the use of CAD models, CAM, and four-
view designs for accurate product realization.
Supervise the entire jewelry manufacturing process, including setting tools, polishing, buffing, filing,
and other related activities.
Identify and address rework and rejection areas in production and prepare Corrective and Preventive
Action (CAPA) plans.
Train and mentor team members in QC tools and methodologies.
Work collaboratively with production, design, and customer service teams to ensure all jewelry
products meet design specifications and customer requirements.
Qualifications
Engineering Graduate or equivalent qualifications in a related field.
5-10 years of experience in brand jewelry manufacturing, with a strong background in Quality Control.
Proven experience handling customer interactions in the last 5 years.
Certification or training in Quality Control tools is preferred.
Strong understanding of the mechanicals, CAD/CAM, and specifications of jewelry designs.
Expertise in all jewelry production processes, including setting, polishing, filing, and tool usage.
Excellent communication and people management skills.
Skills & Competencies:
Proficient in CAD/CAM software and able to interpret technical design specifications.
Strong problem-solving abilities with a focus on quality improvement and process optimization.
Able to lead and motivate teams effectively.
Capable of preparing and implementing CAPA plans to minimize product rework and rejection.
What we need from you:
- CSSA certification prior to Dec 2019
- Minimum 4 years relevant experience in pega application development
- Strong technical acumen
- Willingness to work from Office, if required, after the pandemic
- Represent Machint if deployed at client location
- Cadets with a shorter notice period OR left with a shorter notice while serving notice are the TOP PRIORITY.

About the job
o Candidate will be in leading role to thoroughly understand client requirements and expedite functional and technical design for the overall planning solution; lead team of experienced and novice to deliver solutions meeting client expectations.
o Candidate must be well versed with Feedstock ranking (Indifference), Rolling Plans, Back-casting, configuration selection and plant debottlenecking studies, update of multi-period, multi-plant linear programming models.
o Candidate should have worked in Refinery and Petrochemical companies (in Production Planning, Technical Services division) and /or delivered Planning solution to Oil and Gas clients in consulting assignments.
o Candidate should have knowledge of refinery / petrochemicals plant configurations, their economics, blending operations, yield accounting, crude blending, product distribution, crude arrival sequencing.
Required Technologies:
o Excellent understanding of Ruby, Ruby on Rails, CSS3
o Able to communicate well with others on technologies bases
o Working knowledge with Rspec is good to have.
o Have previous experience building features in production applications.
o Good Knowledge of SQL
Good To Have
o Basics of GIT and GIT LAB
o PostgreSQL
Able to understand frontend JS frameworks
Location : Una Diu
Brief on Amplior:-
- We are a Global B2B Tech-driven start-up lead generation company, with an awesome team, generating significant value
- We do things a bit differently... There is no corporate nonsense, and no old-fashioned hierarchy. Instead, we work in self-sufficient, autonomous teams
- Mostly, you’re your own boss, you also get plenty of guidance and support from super talented, smart colleagues, always pushing the boundaries of innovation
- We believe that people from different backgrounds, identities, and experiences, make our product and the company better.
Job Profile - Client Partner (Flexi/Part time)
- You have the flexibility to decide how much you work, with a minimum 2 hours a day 5 days a week
- Earn well and still do great at making money
- All training and support are provided to make you learn and earn
- Our Client Partners have Great comm skills and confidence
- Experience is welcome but not a necessity, Interns welcome
- Apply if you want to make a great career in marketing, sales, especially B2B (Business to business)
- You need to be Eager to learn more, ready to do quality conversations with Senior Executives in the biggest of the companies PAN India and Globally
- Love to research and find out about potential business prospects for our clients
Requirements:






