Corporate sales - Pune at ekincare · Pune · 3 - 6 years · ₹5L - ₹10L / yr · Raised funding · Posted 25 May 2018


Similar jobs (10)
Editorial Associate AM:PM · Mumbai, Andheri · Full-time · Junior to Mid-level
About AM:PM Short-form vertical video news platform for Gen Z and millennials. VC-backed, pre-launch. We're building how the next generation consumes news in India, fast, sharp, no filler.
About the role You work under the Senior Editor. Your job is to find the story before everyone else does, write copy that lands in 60 seconds, and source the visuals that make it hit.
This is not a writing job. It's a news job. The output just happens to be video.
What you'll do
- Monitor news across beats: politics, finance, tech, sports, and culture
- Write sharp video scripts and copy that work for short-form format
- Source relevant video takes, clips, and visuals for each story
- Pitch stories daily to the Senior Editor with a clear angle
- Turn around content fast without compromising accuracy
- Stay on top of what's breaking and flag it before it's everywhere
What we're looking for
- Background in journalism, mass media, or communications
- Understands what makes a story worth telling and what doesn't
- Can write a script that a Gen Z audience actually watches till the end
- Knows how to source video and visuals, not just text references
- Fast, accurate, and doesn't need to be told what's newsworthy
- Based in Mumbai, Andheri
What you get
- Founding editorial team of a platform built for the next generation of news consumers
- Direct mentorship from the Senior Editor and founding team
- You shape the editorial voice of the platform from its first videos, not its hundredth
We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role
If you're interested in this position, revert to this mail along with your updated CV.
Experience : 5 to 12 years
Location : Hyderabad, Bangalore
Required Skill set : Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
Roles & Responsibilities :
We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.
- Proficient in Python programming and machine learning frameworks
- Strong experience in developing and deploying machine learning models
- Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
- Basic understanding of computer vision techniques for image recognition or object detection
- Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
- Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
- · Proficient in FastAPI for building and deploying RESTful APIs
- Experience with CI/CD pipelines for deploying FastAPI applications
- Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
- Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
- Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
- Experience with Autogen and MCP for automation and model management
- Knowledge of Docker and Kubernetes for containerization and orchestration
- Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
- Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
- Strong analytical and problem-solving skills
- Strong communication skills with the ability to collaborate effectively in a team environment
- Proactive attitude with the ability to independently lead small teams
Review Criteria
- Strong AI/ML Test Engineer
- 5+ years of overall experience in Testing/QA
- 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
- Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
- Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
- Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
- Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
- Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
- Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
- Candidate must be based within Delhi NCR (100 km radius)
Preferred
- Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.
Job Specific Criteria
- CV Attachment is mandatory
- Have you worked with large datasets for AI/ML testing?
- Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
- Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
- Are you willing to relocate to Delhi and why (if not from Delhi)?
- Are you available for a face-to-face round?
Role & Responsibilities
- 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
- Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
- Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
- Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
- Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
- Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
- Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
- Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials
Ideal Candidate
- 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
- Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
- Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
- Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
- Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
- Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
- Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
- Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials
Job Description: Accounts Executive
Position: Accounts Executive
Location: Bangalore
Department: Finance & Accounts
Key Responsibilities:
At least 1-2 yrs year experience
JV/CN/DN knowledge - Journal Vouchers , Credit note, Debit note
Sound Knowledge of GST & Income Tax/ TDS
Technical Skills:
· Proficiency in SAP Business one for financial and tax management.
· Advanced Excel skills.
· Strong Understanding of Indian GST laws & regulations.
Soft skills
· Excellent analytical and problem solving abilities.
· Strong attention to detail and accuracy.
· Good communication and interpersonal skills.
· Ability to work independently and as part of a team
About Rocketlane
https://rocketlane.com/">Rocketlane is a SaaS startup founded in April 2020 by https://www.linkedin.com/in/srikrishnang/">Srikrishnan Ganesan, https://www.linkedin.com/in/vignesh-girishankar/">Vignesh Girishankar, and https://www.linkedin.com/in/deepakbsub/">Deepak Balasubramanyam. Before Rocketlane, they built a successful in-app messaging startup that was acquired by Freshworks(NASDAQ: FRSH) in 2015.
Rocketlane launched in June 2021 and washttps://www.producthunt.com/posts/rocketlane"> #1 Product of the day on Product Hunt. It has a fast-growing, global customer base, including LinkSquares, AppCues, ContractPodAI, Chargebee, parcelLab, and many more.
Rapid early traction and customer love has catapulted Rocketlane to be recognized as a Leader in the G2 Category of Client Onboarding. Rocketlane has raised $21M in capital from global VCs such as 8VC, Nexus Venture Partners, Matrix Partners India, and super angels like Gokul Rajaram and Girish Mathrubootham.
Rocketlane offers a first-of-its-kind collaborative customer onboarding platform that enables businesses to onboard their customers better, faster, and smoother. It helps speed up revenue recognition and grow NRR for the vendor and enables faster time-to-value and a delightful customer onboarding experience.
What’s the opportunity?
Are you a backend developer looking to fast-track your learning and growth? Have you looked at world class products like Asana, Notion, or Airtable, and felt “I wish I were part of the early team that built these products”?
At Rocketlane, we’re a team that has previously built and rolled out globally successful SaaS products used by tens of thousands of customers. We’re laser focused on delivering a world class product again, and looking for an ambitious backend engineer to join our existing team of 9 engineers.
If it excites you to think of a fast-paced start-up environment, building something big from scratch, breaking down new problems, creating new APIs, working on performance issues, getting hands-on with devops initiatives, and showcasing demos of your work every Friday with a happy and passionate team, then this is the right opportunity for you.
Some of the tech problems you get to work-on as a backend engineer would be to build the backend for a modern spreadsheet experience from scratch, work on infra as code, write robust code that is fault tolerant, work on performant code that adheres to SLOs set by the organization.
About you:
- 3 - 7 years of experience
- Expertise in the following areas
- Java
- HTTP Protocol
- You’ve heard of or worked with some of the following tech stacks / products
- Spring
- PostgreSQL
- Redis
- Docker
- Message brokers
- GitHub
- These non-functional areas are familiar to you
- Performance
- Debugging
- Log management
Nice to have:
- Familiarity with AWS
What’s in it for me?
- Great opportunity: Rocketlane genuinely cares about everyone we hire. You’ll learn new things and grow no matter how experienced you are; you will be working with founders who have more than three decades of collective experience in building significant B2B SaaS startups.
- Great team: Work with a world-class, high-velocity team that truly embodies the values of empathy, curiosity, and customer-centricity. Check out thehttps://www.linkedin.com/feed/hashtag/?keywords=rocketlane_meet_the_team"> MTT(Meet The Team) videos on our LinkedIn.
- Great culture: An open, fun, and exciting startup culture that empowers its people to champion big problems with the freedom to think and innovate.
- Growth: You could easily and quickly transition into other sales roles you might like.
- Impact: You get to be part of a global, passionate team in a fast-paced and growth-oriented environment. The team has a work philosophy of being high on ambition, ownership, and a bias for action.
- Monetary rewards and benefits: Competitive stipend, flexible leave policy, and more!
Min 4 Years Experience in Embbeded domain
1. C++
2. C++ ★ Profinet ProfiSAFE ★ Embedded RTOS
3. rtos c c++ python ★ Industrial protocols Embedded Security Threat Modeling ★ Embedded C Embedded Linux
4. Embedded Systems ★ Embedded C ★ C++ ★ RTOS
Platform Engineering Team - where HE/SHE will be a direct impact on the entire engineering org by leading the design, build, and test of critical systems leveraged by all engineers every day. HE/SHE will manage and operate CI/CD systems, Artefact management systems, and common infra automation. HE/SHE will be partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug, and release software quickly.
• 2 to 5 years of total experience and at least 2+ years of Go programming experience.
• Hands-on experience in Go programming language paradigms, constructs, and idioms is a must.
• Experience on Golang frameworks such as https://github.com/spf13/cobra" target="_blank">Cobra, https://github.com/gin-gonic/gin" target="_blank">Gin or https://github.com/hashicorp/go-plugin" target="_blank">HashiCorp's Go-Plugin are an added advantage.
• Understanding of Go specific data structures & algorithms, RESTful web services and work with relational & non-relational databases.
• Ability to write performant, well-documented and unit test covered code in an easily understandable structure.
• Knowledge of DevOps tools such as Docker/Kubernetes and practices is an advantage.
• Strong passion for Linux and system application development.
• Work independently and proactively to deliver production-ready code with minimal guidance.
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What you will do:
• Primarily developing/extending Linux command-line (CLI) applications for the various product offerings at Acceldata. (Example: tools similar to kubecli, docker-cli and aws-cli).
• Extending our existing internal tools developed in Go programming language by developing various plugins. (Example: plugins that can extend the functionalities of Telegraf, Filebeat etc.,)
• Develop web applications that will chain the internal tools with the various APIs/services at the customer's end.
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
- Power BI Report and Dashboard development.
- Building Analysis Services reporting models.
- Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
- Connecting data sources, importing data, and transforming data for Business intelligence.
- Analytical thinking for translating data into informative reports and visuals.
- Should have an edge over making DAX queries in Power BI desktop.
- Expert in using advanced-level calculations on the data set.
- SQL Server with SSAS is must.
- Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.










