Censiusai
https://censius.aiAbout
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The role
The role of the content marketing associate is primarily to act as a liaison between our business and our customers & target audience. We are looking for somebody who shares our passion for customer obsession and can provide value to our customers through content.
Are you the one?
You are a communicator first. You love to empower your readers with intriguing information that addresses their core problems. You know the tricks of an excellent writer who can grasp readers' attention, engage and entertain through content, consequently building a community.
You understand the nuances of email and the way people like to consume newsletters. You know the nuances of writing well and passively, leading the reader to take action.
Some essential qualities you have:
You are a curious individual who is constantly learning and growing in the ML and MLOps domain
You know how to convey complex ideas in easy-to-understand content pieces
You are skilled at maintaining the balance between speed and quality
You can engage readers through words
You like to be innovative in your content presentation
You love writing <3
Technical knowledge:
You are well versed in the world of Machine Learning and all the components that are a part of it. You have extensive knowledge about the ML model lifecycle. Knowing MLOps and its lifecycle is a bonus.
Note:
Having prior experience in data science or machine learning is a must for this role.
This role would be most suitable for people with 1-2 years of experience
Love doing this?
You will be exposed to all the departments of our business - engineering, product, marketing, and sales to gain a deep understanding of the product and the people who need it.
Your primary responsibilities involve
Creating social media content and assisting the marketing team to grow our social audience.
Writing engaging newsletters that focus on providing value to our readers.
Researching the newest trends in the world of MLOps and being abreast with all the latest happenings.
Assisting in developing thought leadership articles.
Assisting the marketing team in writing product-led content.
You are valuable!
We understand that content marketing is a challenging task that requires a deep understanding of subjects and the skill of persuasion as well. And growing an audience through writing is more challenging!
We offer competitive pay to you that reflects your efforts, knowledge, and skill
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
About the job
What is Censius?
Censius is an AI Observability Platform that enables enterprises of all sizes to confidently deploy their machine learning models into production. The company's flagship AI observability platform helps data science initiatives become more accountable and explainable. This all-in-one ML monitoring system allows you to proactively monitor end-to-end ML pipelines for drift, skew, data integrity, and data quality concerns.
Responsibilities
- Contacting potential clients to establish rapport and arrange meetings.
- Planning and overseeing new marketing initiatives.
- Researching organizations and individuals to find new opportunities.
- Increasing the value of current customers while attracting new ones.
- Finding and developing new markets and improving sales.
- Attending conferences, meetings, and industry events.
- Developing quotes and proposals for clients.
- Setting goals for the development team and business growth and meeting them.
Qualifications
- Must have 2+ years of experience in any capacity working in Data/AI/ML companies
- 1+ years experience in enterprise software sales, marketing, or related field.
- Strong communication skills and tech fluency.
- Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
- Understands technology and has a fascination for AI/ML product/services
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for the gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)About Us
Censius is a US-based product company that is enabling AI at scale for enterprises. We are unlocking MLOps scalability by building the world's fastest way to deploy models and are amongst the earliest companies to tackle Model Performance Management. At Censius, you will get to solve difficult problems in a very nascent, but rapidly growing, area.
About the role
In this role, you will design and implement a generic ML platform that helps monitor models across modalities in production. You will collaborate with the research and development teams to build robust ML and big data monitoring platforms.
Responsibilities
* Work on large-scale machine learning challenges that impact millions of people around the globe
* Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time
* Implementing fast, scalable solutions with optimal performance day in and out
* Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle
* Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science
* Writing specifications for algorithms, reports on data analysis, documentation of algorithms, and collaborating with product teams' skills and attributes for success will want you to have
* Strong programming skills in Python.
* Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)
* Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)
* Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn
* Familiarity with ML platforms like MLflow, Weights&Biases, Kubeflow, and AWS SageMaker.It'd be nice if you have* Passion for developing data products from scratch and a high level of proactiveness
* Knowledge of Reinforcement learning and Optimisation problems on a large scale is a big plus
* Some experience in project management and mentoring is also a plus.
* Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus.
You will excel in this role if
* You are scrappy, take ownership, and follow through to the very end
* You enjoy wearing multiple hats
* A sincere desire to learn and grow - we're quite small, so the desire to learn and grow as the company grows is essential!
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Kubernetes
Docker
Django
FlaskAbout the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonDjangoFlask
JavaOur goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
- 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
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