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Desired Competencies:
Ø Expertise in Azure Data Factory V2
Ø Expertise in other Azure components like Data lake Store, SQL Database, Databricks
Ø Must have working knowledge of spark programming
Ø Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules
Ø Strong knowledge of CICD Process
Ø Experience in building power BI reports
Ø Understanding of different components like Pipelines, activities, datasets & linked services
Ø Exposure to dynamic configuration of pipelines using data sets and linked Services
Ø Experience in designing, developing and deploying pipelines to higher environments
Ø Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)
Ø Strong knowledge in SQL queries
Ø Must have worked in full life-cycle development from functional design to deployment
Ø Should have working knowledge of GIT, SVN
Ø Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
Ø Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview
Ø Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred
Preferred Qualifications:
Ø Bachelor's degree in Computer Science or Technology
Ø Proven success in contributing to a team-oriented environment
Ø Proven ability to work creatively and analytically in a problem-solving environment
Ø Excellent communication (written and oral) and interpersonal skills
Qualifications
BE/BTECH
KEY RESPONSIBILITIES :
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You will join a team designing and building a data warehouse covering both relational and dimensional models, developing reports, data marts and other extracts and delivering these via SSIS, SSRS, SSAS, and PowerBI. It is seen as playing a vital role in delivering a single version of the truth on Client’s data and delivering MI & BI that will feature in enabling both operational and strategic decision making. You will be able to take responsibility for projects over the entire software lifecycle and work with minimum supervision. This would include technical analysis, design, development, and test support as well as managing the delivery to production. The initial project being resourced is around the development and implementation of a Data Warehouse and associated MI/BI functions. |
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Principal Activities: 1. Interpret written business requirements documents 2. Specify (High Level Design and Tech Spec), code and write automated unit tests for new aspects of MI/BI Service. 3. Write clear and concise supporting documentation for deliverable items. 4. Become a member of the skilled development team willing to contribute and share experiences and learn as appropriate. 5. Review and contribute to requirements documentation. 6. Provide third line support for internally developed software. 7. Create and maintain continuous deployment pipelines. 8. Help maintain Development Team standards and principles. 9. Contribute and share learning and experiences with the greater Development team. 10. Work within the company’s approved processes, including design and service transition. 11. Collaborate with other teams and departments across the firm. 12. Be willing to travel to other offices when required. |
Location – Bangalore
Amazon Web Services (AWS)
PythonByteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.
This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.
What You'll Do
Model Deployment & Optimization
• Lead end-to-end deployments of large language models on AWS infrastructure for strategic
customers
• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI
• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure
configuration
• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,
Inferentia)
Infrastructure Architecture & Performance
• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed
training frameworks
• Implement CUDA-level optimizations and custom kernels for improved model performance
• Design storage and networking architectures optimized for high-throughput ML workloads
• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level
Customer Engagement & Technical Leadership
• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model
requirements and deployment constraints
• Provide technical guidance on model selection, fine-tuning strategies, and production best practices
• Conduct performance benchmarking and cost optimization analysis for ML workloads
• Share field insights with AWS product teams to influence infrastructure and service roadmaps
What We're Looking For
Core Qualifications
• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or
PhD preferred)
• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)
• Deep understanding of LLM architectures, training methodologies, and inference optimization
Technical Expertise (High-Level Alignment)
• Hands-on experience training, fine-tuning, or deploying large language models in production
• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques
• Experience with distributed training frameworks and multi-GPU/multi-node orchestration
• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking
Preferred Experience
• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML
platforms
• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,
Inferentia)
• Experience with model compression techniques (quantization, pruning, distillation)
• Knowledge of MLOps practices, model monitoring, and production ML system design
• Background in high-performance computing, distributed systems, or systems programming
Essential Attributes
• Ability to dive deep into technical problems and debug complex infrastructure issues
• Strong analytical skills with data-driven approach to optimization
• Excellent communication skills to explain complex technical concepts to diverse audiences
• Comfortable working in ambiguous, fast-paced environments with evolving requirements
• Ownership mindset with ability to drive projects from architecture to production
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, TATA Group, MTV, 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.
Job Role - Social Media Marketing Intern
Experience Level - 0 to 1 year
Location - Bangalore
Job Overview:
We are seeking a creative and enthusiastic Social Media Intern to join our dynamic Digital Marketing team. The ideal candidate will be passionate about social media trends and digital marketing
strategies, with a keen interest in developing and implementing engaging social media campaigns. This internship offers hands-on experience in a fast-paced environment, where you will assist in
managing our social media presence and contributing to our overall marketing goals.
Key Responsibilities:
● Content Creation: Assist in creating and curating engaging content for various social media
platforms, including Facebook, Instagram, Twitter, LinkedIn, and TikTok.
● Social Media Management: Support the scheduling and posting of content across social
media channels, ensuring consistency and alignment with the company’s brand voice and
marketing objectives.
● Engagement: Monitor social media channels for customer interactions, respond to comments
and messages in a timely and professional manner, and engage with followers to build a
strong online community.
● Analytics: Track and analyze social media metrics and performance, providing insights and
recommendations for improvement based on data trends and reports.
● Campaign Support: Assist in the planning and execution of social media campaigns and
promotions, including writing copy, designing visuals, and tracking results.
● Research: Stay updated on the latest social media trends, tools, and best practices, and provide recommendations for incorporating new strategies into our social media efforts.
● Collaboration: Work closely with the Digital Marketing team to align social media strategies with broader marketing goals and initiatives.
Product development company in Semiconductor & Electronics
SCOPE
Responsible for Service Now developer, support and collaboration with process owners, enhancing core applications and ensuring delivery and on-going support of IT solutions. The ServiceNow developer is accountable for configuring and setting up ServiceNow modules/applications. Work closely with IS department management to develop technical solutions to satisfy the business needs of the IS department and other departments using the ServiceNow platform.
SKILLS & CERTIFICATIONS
- Deep working knowledge of most or all the following: ITSM, ITOM, CMDB, Service Portal, Integration Hub
- Hands-on experience with and demonstrated proficiency in JavaScript, Angular JS, or other related languages
- System integration experience using web services and other web-based technologies such as XML, HTML, AJAX, CSS, HTTP, REST/SOAP
- Experience with extending the ServiceNow schema to custom applications
- Experience with use of Workflow Editor and Flow Designer
- Understanding of ServiceNow’s license and entitlement structure
- Experience with ServiceNow platform upgrades
- Experience with Automated Testing Framework.
EDUCATION & EXPERIENCE
- Bachelor’s degree in computer science.
Role - Manager (Programmatic)
About Company :-
Our Client is the world’s largest media investment company and is a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Manager -Social to join us. As part of the largest media agency in India, you’ll have the opportunity to leverage the scale that comes with the job. You will become an integral part of this growing team and will be working with both internal teams and external parties to ensure campaign delivery objectives are met.
This team is responsible for delivering international solutions, particularly in APAC & EMEA, with some global influence. You will enjoy working in a collaborative team environment and will hold a ‘can do’ attitude with the passion to learn and grow.
At APAC, our people are our strength, which is why fostering a culture of diversity and inclusion is important to us.
What your day job looks like at GroupM-Hub:
· Develop strong relationships with counterparts in Hub regional teams (Europe, U.S., Asia)
· Lead the training and growth of your local programmatic team
· Enforce DV360 and TrueView best practices with a focus on platform expertise, consistency, and quality of work delivery
· Be accountable for consistent work delivery to regional teams by ensuring a high quality of output
· Serve as point of escalation for your team and take ownership of resolving challenges
· Provide career development and coaching for your team
· Line manage 2-5 direct reports with as many as 10 indirect reports
· Provide timely and actionable feedback to the team to aid in their development, improvement, and progress. Provide awareness and recognition for jobs well done
· Provide support to in capacity planning & resource management for the team
· Present strong and effective communication across all level.
What you’ll bring:
· Working experience in Agency, Trading Desks or Programmatic Tech Partners
· Actual Campaign execution experience with most of the local programmatic players as well as measurement providers
· Familiar with DSP and exchange revenue streams and be able to negotiate trading benefits
· Existing relationships with publishers, programmatic product partners, as well as data providers in the local market
· Knowledge of different programmatic trading models and their implications to both advertiser’s inventory quality and publisher monetization strategies
· Being able to articulate difficult technical concepts to non-technical people such as explaining lookalike modeling and cookie mapping to the lay person.
Minimum qualifications:
· 3+ year's professional experience with digital media preferably within a media agency/trading desk
· Experience in Google Marketing Platform (DV360, CM, GA360).
· Experience in top AdTech & MarTech platforms.
· Experience in Client Decks, Programmatic Strategy, New Pitches, etc.
· Hands on experience and knowledge on programmatic platforms.
· Clear thought process & strategy to build on existing businesses.
· Competent in all Microsoft office software
Go Programming (Golang)
Ruby on Rails (ROR)
RubyPython
JavaJob Description:
Proven experience as a Java Developer with a strong understanding of Java and its ecosystems.
Proficient in Spring Framework (Spring Boot, Spring MVC, Spring Data).
Experience with web application development using technologies such as HTML, CSS, and JavaScript.
Knowledge of relational databases (e.g., MySQL, PostgreSQL) and ORM frameworks (e.g., Hibernate).
Familiarity with build tools such as Maven or Gradle.
Understanding of software development life cycle (SDLC) and agile methodologies.
Excellent problem-solving and debugging skills.
Experience with microservices architecture.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Candidate should also have some App development experience in cloud infra. Like familiarity with Docker, Helm Charts, Kubernetes or AWS/Azure k8s infra.
Candidate should have some App development experience in at least one No-SQL Database also (like MongoDB or Cassandra or Redis) apart from RDBMS.
1. A 2-wheeler
2. Good English speaking skills
The job is to make multiple trips to different places in Bengaluru (mostly in Koramangala to Whitefield range).
Per trip can fetch an easy 120/- Rs, so if you do 10 trips a day, its easy 1200 bucks. Additionally, there are incentives and also **5% revenue sharing** is ensured for any service fee that we collect as a result of these visits. On an average, you can easily make 20,000 INR per month if yo udedicate your weekends to us.
**Details:**
We are into real-estate ready-to-move-in property transactions. We provide consultancy to prospective buyers, who request visits on properties they like. The job is to accompany them for these visits. There is no sales skill involved. You can use your smartphone to log into an app, see all the visits scheduled for today, coordinate with the buyer to reach the GPS location mentioned. If the buyer seeks any answer regarding the property, just check it on the app and answer. That’s it.
When sales happen out of these visits, and we get our service fee, the same will be shared with you (5% of the fee will on an average amount to 5000/-).
**Why is it good for women:**
1. The job is a day job - 10 am to 6 pm
2. The localities that we work in are dense, popular and safe: Koramangala, HSR, BTM, ORR, Marathahalli, Whitefield, Bellandur etc
3. The customers are mostly families
4. No followups with the customer is required - Mostly one single meeting per customer
Machine Learning (ML)
Data ScienceHi,
We are hiring for Data Scientist for Bangalore.
Req Skills:
- NLP
- ML programming
- Spark
- Model Deployment
- Experience processing unstructured data and building NLP models
- Experience with big data tools pyspark
- Pipeline orchestration using Airflow and model deployment experience is preferred
PythonResponsibilities
This role requires a person to support business charters & accompanying products by aligning with the Analytics
Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.
70% management + 30% individual contributor. Responsibilities include
Project Management
- Understand business needs and objectives.
- Refine use cases and plan iterations and deliverables - able to pivot as required.
- Estimate efforts and conduct regular task updates to ensure timeline adherence.
- Set and manage stakeholder expectations as required
Quality Execution
- Help BA and SBA resources with requirement gathering and final presentations.
- Resolve blockers regarding technical challenges and decision-making.
- Check final deliverables for correctness and review codes, along with Manager.
KPIs and metrics
- Orchestrate metrics building, maintenance, and performance monitoring.
- Owns and manages data models, data sources, and data definition repo.
- Makes low-level design choices during execution.
Team Nurturing
- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.
- Provide technical guidance whenever required.
- Improve benchmarking and decision-making skills at execution-level.
- Train and get new resources up-to-speed.
- Knowledge building (methodologies) to better position the team for complex problems.
Communication
- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.
- Downstream and parallel for context-building, mentoring, stakeholder management.
Analytics Stack
- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks
- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike
- Warehouse : Amazon Redshift
- ETL : Lots of Python + custom-made
- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)
- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda
Docker
JenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
Responsibilities:
- Lead QA engineers into developing performance & functional test plans and test scenarios using requirements and product documentation while specifying testing overview, approach, strategy, scope, architecture, environment, roles and responsibilities
- Scope projects and estimate testing needs
- Design and implement testing methods for both end to end, and individual service layers of the application stack
- Identify bottlenecks in functionality and performance, and provide actionable information and suggestions based on analysis of testing results
- Communicate technical information clearly with both technical and non-technical teams
- Work closely with development engineers and management in a fast-paced technical environment
Requirements:
- 4-7 years experience in Quality Assurance of IT products
- Hands on experience in Test Automation using Selenium
- Experience Leading Testing Teams in both Manual and Automation Testing.
- Strong work ethic and accountability on Quality Assurance
- Experience in building SCRUM/Agile skills within the Testing Team
- Exercise independent thought and judgement and adapt to new tasks
- Experience in Performance Testing is mandatory.
- Experience in Security Testing is a plus, but not mandatory
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