Healthcare Lead Generation Expert

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. 

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:  Video Lead

Experience Level: 5+ years 

Location: Bangalore, Onsite 

Job Description: We are looking for someone with previous social media reels edit/ creation experience who holds an experience of 5 Years plus.

Responsibilities:- 

● Creation of Social media posts, reels, etc .

 ● Edit videotapes, insert music, dialogue, and sound effects, and arrange films into sequences. 

● Correct errors, using editing equipment. 

● Must know motion graphics. 

● Minimum 8-10 edits in a day.

● Client interaction and team handling is a must. 

● Should be a master in Adobe After Effects, Photoshop, Illustrator and Adobe Premiere Pro. 

Example Responsibilities:

• Build and optimize model serving infrastructure with a focus on inference latency and cost optimization
• Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options
• Develop monitoring and observability solutions for ML systems
• Collaborate with ML Engineers to establish best practices for optimized model deployment
• Implement cost-efficient, enterprise-scale solutions
• Collaborate in a cross-functional, distributed team for continuous system improvement
• Work with MLEs, QA Engineers, and DevOps Engineers
• Evaluate and implement new technologies and tools
• Contribute to architectural decisions for distributed ML systems

Experience and Qualifications:

• 5+ years of experience in software engineering with Python
• Experience with ML frameworks, particularly PyTorch
• Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT)
• Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia,Trainium)
• Proven experience building and operating AWS serverless architectures
• Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions
• Experience with containerization using Docker and orchestration tools
• Strong knowledge of RESTful API design and implementation
• Proficiency in writing good quality & secure code and be familiar with static code analysis tools
• Excellent analytical, conceptual and communication skills in spoken and written English
• Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

Great to have Experience and Qualifications:

• Experience with any of the following: model compilation and quantization, performance profiling and benchmarking ML inference systems
• Experience working in regulated industries with strict compliance requirements for cloud-native solutions

1. Research for relevant resumes from various job portals

2. Shortlisting of relevant candidates and sharing it with the HR team

3. Connecting to the candidates and collecting data for analysis of the profile

4. Doing the first round of interviews to ascertain that the JD requirements are met

5. Aligning online/physical interview with the candidates with the HR/Operations team

6. Roll out offer letters & relevant joining documents and receive acceptance

7. Ascertain reporting to work on the joining date

Responsibilities

• The ERP Implementation Professional will work closely with ERP team members as well as end

users to provide functional support and training of business processes enabled by Manufacturing ERP in the respective modules.

• ERP Implementation, for the modules like Finance, Production, Stores, Sales, Inventory Control.

• Provide ERP support by resolving customer queries via phone, email, remotely or at client-side

location.

• Responsible to communicate with Customer ERP core team, implementation team, Technical

consultant and his Manager.

• To Maintain Flowcharts, SOP's and prepare user manuals and provide end user training

• To configure, deploy and manage the ERP system and the backend database system

• Extensively travel to client end for software implementation and training purpose.

About the Role-

Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.

Reason to Join-

An opportunity for innovators, problem solvers & learners.  Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.

Requiremets and Responsibilities- (please read carefully before applying)

• The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
• Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
• Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
• Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
• Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
• Design, implement, and deploy highly scalable and reliable systems.
• Troubleshoot Solr indexing process and querying engine.
• Bachelors or Masters in Computer Science from Tier 1 Institutions

Job Positions: Relationship Manager/ Senior Relationship Manager

Experience: 0 to 2 Years

·        Good communication in English and Kannada is must.

·        Only male candidates are preferred (who has passion towards his carrier in field sales).

·        Any sales experience are considered. (Experience in automobile industries is an added advantage).

·        Bike with DL is must.

Salary: 17,000 to 24,000 INR + Incentives+ Petrol expense and free insurance.

Job Location: Bangalore

(Nayandhalli, Nagadevanhalli, Bannerghatta, Lalbagh, Dabaspet, Kankapura Road, Magadi Road, Kalyan Nagar, Kr Puram and Brookefield)

*forward your resume to (ambikadotj@semperfidotcodotin)(dot - .)

) 2+yrs of strong experience in Java/J2EE technologies (Core Java, Spring, Springboot, Hibernate, 

JPA, Microservices)  

*) Experience with working on Java 8.0 and its emerging road map for 11  

*) Hands on experience in Springboot and good knowledge of MySQL, MongoDB  

*) Hands on experience in working with Angular 6 and above. Experience working with product 

management and UI/UX designers having knowledge of advanced Javascript, JQuery  

*) Working knowledge on components, modules, data/event bindings, templates, using and creating 

directives, writing routes, services, forms and models  

*) Solid understanding of the full frontend and backend development life cycle  

*) Strong experience in Spring Framework (Spring MVC, Spring security, Spring data, OAuth)  

*) Experience with Webservices (SOAP and REST) and API integration. Good knowledge of JSON and 

Swagger and Postman is required  

*) Experience with web application servers like Tomcat, Jetty, JBoss. Knowledge of Kafka with MQTT 

would be an added advantage  

*) Experience with TDD, code testability standards, JUnit  

*) Experience in managing configurations and deploying and hosting applications in AWS  

*) Experience with DevOps tools like Git, Maven, SourceTree, Jenkins, Docker and CICD model of 

development