Cloud Data Engineer

Requirements

• Senior SD4 engineer/Principal Engineer/ Architect who has led or been part of platform teams inside a large/mid tech company
• Deep expertise working with any of the programming languages to write maintainable, scalable, unit-tested code.Python experience is a bonus - but not required
• Good understanding of REST APIs and the web in general and ability to build a feature from scratch & drive it to completion
• Experience with Kubernetes, Prometheus, Grafana, ELK stack, Load Balancing
• Experience in building a platform team on AWS for Product based companies/start-ups

What You’ll Do

• Build the core technology platform, including Automated provisioning of infrastructure, deployment, and monitoring of services
• Build a central services directory within an organization that shows the cost and health of all services and makes the management of microservices extremely easy
• This involves working with core infrastructure and understanding them in great detail - like Kubernetes, ServiceMesh, Service security
• Mentor/coach engineers to facilitate their development and provide technical leadership

. Day to Day Accounting Entries

2. Preparation of Reconciliation statement

3. Preparation Revenue MIS

4. Other Bookkeeping and Accounting Task

Skills:

1. Strong knowledge of Advanced MS Excel and other MS Office Tools

2. Knowledge of Tally ERP 9 and

3. Good Communication and Skill

Preferred candidate profile

• Good knowledge of MS Excel, Word and Tally ERP
• Good knowledge of Accounts payable & accounts receivable
• Basic knowledge of general accounting
• Basic knowledge of direct & indirect tax

Qualifications:

1. Graduate in Accounts and Commerce

You will be our first marketing hire, and will be responsible for laying the foundation of our marketing DNA described above.

• Conceptualize from scratch our multi pronged marketing strategy - SEO (blog, newsletter), social media (linkedin, twitter), community, education (webinars, podcasts), partnerships etc
• Understand our user/buyer persona, empathize with them, conceptualize relevant content topics, and work with content writers to push high quality content on various platforms
• Identify the right keywords for Zenskar to optimize on - both head, and long tail
• Iterate to figure out the correct tone for our social media communication, and build relevant audience on social platforms
• Reach out to industry influencers, collaborate with them and organize webinars, podcasts etc with the intent to establish Zenskar as an authority in the industry
• Create a vibrant community of our user and buyer persona, with the intent to help solve the problems they face on a daily basis
• Hire as the team grows and mentor junior folks

Your job as a business development manager is to identify sales leads, pitch our product to new clients and onboard them, and maintain a good working relationship with new contacts/schools. Communicating new product developments to prospective clients.

1. Meeting schools and onboarding them
2. Creating and managing top level sales funnel and generate leads
3. Organize and coordinate operations in ways that ensure maximum productivity
4. Managing customer and channel affiliated relationship with client
5. Conducting demos and presentation of the product
6. Monitor sales, marketing & operational activities; implement strategies to maximise channel sales & collections as well as smooth operations.
7. Review your own sales performance, aim to meet or exceed targets
8. Gather market and customer information and provide feedback on the same

Why you?

1. 5 + years experience in a sales role with schools, preferably in edtech and having a client base ( having direct relationship with the school management) of around 100-150 schools in their region.
2. B.tech/MBA degree.
3. Detailed understanding of the principles of sales
4. Strong communication skills
5. Proven track record in achieving sales quotas
6. Open to travelling.

Perks:

Apart from very competitive compensation, you will:

1. Work in a high paced growth environment
2. Work with a very experienced team

Must have attributes:

1. Extreme sense of ownership
2. Bias for action
3. Ability to change the preempt and iterate the course of action to achieve targets.

About us:

Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.

We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.

Qualifications:

• Overall experience of 4 to 7 years in ML
• B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)

Requirements:

• Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
• Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
• Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
• Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
• Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
• Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
• Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
• Proficient in writing GPU kernels using CUDA .
• Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
• Developed novel techniques for ML model measurement and mitigation.
• Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
• Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
• Experience with MongoDB, MySQL, and Vector databases.
• Experience with analytics.
• Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
• Experience in mentoring and growing engineers.

Additional Benefits:

Competitive compensation along with ESOPs of a path-breaking Fintech startup