
Sr Data Engineer
As a Data Engineer you have to understand Organisation data sets and how to bring them together. You have to work with sales engineering team to support custom solutions offered to the client. Filling the gap between development, sales engineering and data ops and creating, maintaining and documenting scripts to support ongoing custom solutions.
Job Responsibilities:
- Collaborating across an agile team to continuously design, iterate, and develop big data systems.
- Extracting, transforming, and loading data into internal databases.
- Optimizing our new and existing data pipelines for speed and reliability.
- Deploying new products and product improvements
- Documenting and managing multiple repositories of code.
Mandatory Requirements:
- Experience with Pandas to process the data and Jupyter notebooks to keep it all together.
- Familiar with pulling and pushing files from SFTP and AWS S3. Familiarity with AWS Athena and Redshift is mandatory.
- Familiarity with SQL programming to query and transform data from relational Databases.
- Familiarities with AWS Cloud and Linux (and Linux work environment) are mandatory.
- Excellent written and verbal communication skills.
Desired Requirements:
- Excellent organizational skills, including attention to precise details.
- Strong multitasking skills and ability to work in a fast-paced environment Know your way around REST APIs (Able to integrate not necessary to publish)
Qualities:
- Python
- Sql
- API
- AWS
- GCP
- OCI
- Azure
- Redshift
Eligibility Criteria:
- 5 years experience in database systems
- 3 years experience with Python to develop scripts
What’s for the Candidate:
12 LPA
Job Location(s)
Hyderabad / Remote

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Job Description:
We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems.
This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production.
You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability.
Key Responsibilities
AI & Agentic Infrastructure
- Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows.
- Build scalable runtime environments for LLM orchestration frameworks.
- Enable deployment of AI copilots, assistants, and autonomous decision systems.
Common frameworks may include:
- LangChain
- LlamaIndex
- AutoGPT
LLMOps & AI Model Lifecycle
Design and manage LLMOps pipelines for the full lifecycle of large language models:
- Model deployment
- Prompt management
- Versioning
- Evaluation and testing
- Model monitoring
Integrate with AI platforms such as:
- Azure Machine Learning
- Amazon SageMaker
- Vertex AI
Retrieval-Augmented Generation (RAG) Infrastructure
Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs.
Responsibilities include:
- Document ingestion pipelines
- Embedding generation workflows
- Knowledge indexing
- Query orchestration
- Retrieval optimization
- Support scalable semantic search architectures.
Vector Database & Knowledge Infrastructure
Deploy and manage vector databases used for AI applications and semantic retrieval.
Common technologies include:
- Pinecone
- Weaviate
- Milvus
- FAISS
Responsibilities include:
- Index optimization
- Query latency tuning
- Scalable embedding storage
- Hybrid search architecture
Multi-Cloud AI Infrastructure
Design and maintain AI-ready infrastructure across:
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Key responsibilities include:
- GPU infrastructure management
- Distributed training environments
- Hybrid cloud integrations with on-prem data centers
- Infrastructure scaling for AI workloads
Data Platforms & Integration
- Support deployment and optimization of data lakes, data warehouses, and streaming platforms.
- Work with data engineering teams to ensure secure and scalable data infrastructure.
Cloud Architecture & Infrastructure
- Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud.
- Build hybrid cloud architectures integrating on-premise environments with cloud platforms.
- Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads.
DevOps, Platform Engineering & Automation
Build automated cloud infrastructure using modern DevOps practices.
Tools may include:
- Terraform
- Docker
- Kubernetes
- GitHub Actions
Responsibilities include:
- Infrastructure as Code (IaC)
- Automated deployments
- CI/CD pipelines for AI models and services
- Platform reliability and scalability
AI Observability & Monitoring
Implement observability frameworks to monitor AI systems in production.
This includes:
- Model performance monitoring
- Prompt evaluation
- Hallucination detection
- Latency and throughput analysis
- Cost monitoring for LLM usage
Tools may include:
- Arize AI
- WhyLabs
- Weights & Biases
Security, Governance & Responsible AI
Ensure AI systems follow strong governance and security practices.
Responsibilities include:
- Data privacy and compliance
- Model governance frameworks
- Secure model deployment
- Monitoring model bias and drift
- AI risk management
Support enterprise frameworks for Responsible AI and AI compliance.
Data & Security
- Experience with data lake architectures, distributed storage, and ETL pipelines
- Knowledge of data security, encryption, IAM, and compliance frameworks
- Familiarity with AI governance and responsible AI practices
Required Skills
Cloud & Infrastructure
- Strong experience in Azure (must have), AWS or GCP
- Hybrid and multi-cloud architecture
- GPU infrastructure management
DevOps & Automation
- Kubernetes
- Docker
- Terraform
- CI/CD pipelines
AI / ML Platforms
- MLOps pipelines
- Model deployment
- Model monitoring
AI Application Infrastructure
- Vector databases
- RAG pipelines
- LLM orchestration frameworks
Programming
Experience in one or more languages:
- Python
- Go
- Java
- TypeScript
Preferred Qualifications
- Experience building AI copilots or autonomous agents
- Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training
- Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability
- Experience building enterprise AI platforms
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering
- Experience working in data-driven or AI-focused environments
What Success Looks Like
- Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms
- Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products
- Secure and scalable AI-ready cloud platforms
- Strong automation and governance across cloud and AI systems
Simplilearn is hiring for Inside Sales Managers (Individual contributing role). If you are seeking a career in Business Development, so this is the perfect opportunity.
Location: Simplilearn, Hosapalya Main Rd, near Old, ITI Layout, Sector 7, HSR Layout, Bengaluru, Karnataka 560068
Shift: Day Shift
Mode of Interview: Face-to-face
Kindly go through the eligibility criteria before applying
Must have skills:
- Excellent communication (English).
- Graduation is mandatory.
- Minimum 3 months to 6 years of experience in Inside sales
- B2C Sales
Notice period preference: Immediate Joiner
Candidates who are in Bangalore only can apply
Job Description:
- End-to-End B2C Sales.
- New Customer Acquisition.
- On-call sales of online certification programs by Simplilearn.
- Monthly targets and incentives, incentive capping at 700%.
- Maintaining data and reports on a daily basis.
We’re Hiring: Senior Data Engineer | Remote (Pan India)
Are you passionate about building scalable data pipelines and optimizing data architecture? We’re looking for an experienced Senior Data Engineer (10+ years) to join our team and play a key role in shaping next-gen data systems.
What you’ll do:
✅ Design & develop robust data pipelines (ETL) using the latest Big Data tech
✅ Optimize infrastructure & automate processes for scalability
✅ Collaborate with cross-functional teams (Product, Data, Design, ML)
✅ Work with modern tools: Apache Spark, Databricks, SQL, Python/Scala/Java
Scala is mandatory
What we’re looking for:
🔹 Strong expertise in Big Data, Spark & distributed systems
🔹 Hands-on with SQL, relational DBs (Postgres/MySQL), Linux scripting
🔹 Experience with Delta Tables, Parquet, CSV, JSON
🔹 Cloud & Databricks exposure
🔹 Bonus: Machine Learning knowledge
📍 Location: Remote (Pan India)
⏰ Shift: 2:00 pm – 11:00 pm IST
💼 Type: Full-time, Permanent
Franchise Sales Manager to lead our franchise expansion across multiple cities in India. The role involves extensive client interaction, legal documentation, and operational oversight.
Key Responsibilities:
- Drive franchise sales and onboard new franchise partners across India.
- Present the franchise model and conduct multiple meetings to close deals.
- Handle end-to-end legal documentation and ensure timely agreement signings.
- Manage complete setup of franchise stores, ensuring seamless execution.
- Build strong relationships with franchise partners and guide them on ROI and break-even strategies.
- Collaborate with the marketing team to align franchise sales efforts with promotional activities.
- Provide regular progress reports to the Chief Executive Officer.
- Travel frequently to meet clients, conduct site visits, and oversee franchise operations.
Qualifications & Skills:
- Proven experience in franchise sales or a similar role.
- Strong understanding of franchise models, ROI, and break-even analysis.
- Excellent communication, negotiation, and relationship-building skills.
- Proficiency in handling legal documentation and agreements.
- Ability to work under pressure and achieve sales targets.
- Willingness to travel extensively.
- Strong organizational and project management abilities.
### Responsibilities:
* Collaborative Development:
- Work closely with Product, UX/UI, and Backend teams to design, build and extend consumer facing products, platforms, and features.
* Reusable Components:
- Develop reusable iOS software components for our platform, ensuring modularity and maintainability.
* Continuous Integration and Delivery:
- Collaborate with QA to implement CI/CD pipelines for automated and manual testing, ensuring app releases maintain high standards.
* Performance Monitoring:
- Monitor the performance of live apps, continuously improving code quality and user experience.
* Innovation and Evaluation:
- Stay updated with new mobile methodologies and technologies, evaluating their potential integration into our development process.
### Requirements:
* Proven Experience:
- Demonstrated experience in developing mobile applications, specifically on the iOS platform using Swift.
* Modern Development Practices:
- Up-to-date knowledge of modern iOS programming paradigms and experience with native app development.
* API and SDK Expertise:
- Experience in API design, SDK architecture, and the mobile software lifecycle development practices.
* UX/UI Design:
- Strong exposure to UX/UI design with experience in creating intuitive apps with pixel-perfect interfaces.
* Computer Science Fundamentals:
- Solid understanding of algorithms and data structures.
* Methodologies:
- Familiarity with SDLC and Agile methodologies.
* Startup Experience:
- Prior experience working in a startup environment is a plus.
Purchase Manager Technical Profile JD
Male candidate -Experience 10-15 years in engineering industry (Manufacturing) and should
handle a purchase team independently.
Qualification – Diploma or Mechanical Engineer
Good technical knowledge of sheets, rods, pipes, Structural steel, Castings and
outsourcing jobs
Knowledge of drawing, design.
Good communication and negotiation skills
Expertise in vendor scouting / sourcing
Identify cost reduction areas.
Must have good knowledge of metal market
Must have knowledge of Job work process
Should be able to handle a team independently
Ready to travel anywhere to source the material
MIS of Purchase
LOCATION : Koparkhairane, Navi Mumbai
Salary - Upto 80
Role: Content Writer
Job Summary :
We are seeking a talented and creative Content Writer to join our team. As a Content Writer, you will be responsible for creating high-quality, engaging, and informative content for our website, blog, social media channels, and other marketing materials.
Responsibilities:
- Develop and write compelling content that is in line with our brand and target audience.
- Research and analyze industry trends, competitors, and keywords to optimize content for search engines.
- Work collaboratively with cross-functional teams to develop content strategies and plans.
- Produce high-quality written content for various channels including blogs, social media, email campaigns, and other marketing materials.
- Ensure all content is grammatically correct, error-free, and consistent with our brand style guide.
- Edit and proofread content written by other team members, ensuring accuracy and consistency.
- Stay up-to-date with industry trends and best practices in content writing and apply them to improve our content strategy.
Qualifications:
- Bachelor's degree in English, Communications, Marketing, or related field.
- Minimum of 2 years of experience in SaaS based content writing for digital media.
- Exceptional writing, editing, and proofreading skills with a keen attention to detail.
- Strong research and analytical skills.
- Ability to work independently, manage multiple projects simultaneously, and meet deadlines.
- Proficiency in SEO and content marketing best practices.
- Excellent communication and interpersonal skills.
- Experience with CMS platforms, such as WordPress, and social media management tools.
If you are a creative thinker who is passionate about writing engaging and informative content, we would love to hear from you.
- Should possess a minimum of 7-9 years of experience
- 2+ Years in Angular 4 / Angular 6 - Required
- Knowledge of Core Java
- Spring Boot - atleast 1 year experience (mandatory)
- Hibernate - atleast 1 year experience (mandatory)
- Microservices - atleast 1 year experience (mandatory)
- 3 Years in Database – Oracle/SQL – Required
- 2 Years Web API / Restful Services - Required
- 3 Years in using any of IDE (Visual Studio Code, Eclipse, IntelliJ IDEA) and debugging skills - Required
- Knowledge in using Git, SVN, Maven, Unit testing and deployment tools - Required
- Should have some experience in multithreaded/asynchronous programming – Good to have
- Knowledge on ELK Stack is good to have
- Knowledge on Angular 4/6/8+ is good to have
- Hands on experience in following is a must: Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platform AWS is a must.
- Must have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Version Control Tools: Git, CVS
Build Tools: Maven and Gradle
CI Tools: Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on











