Area sales manager- Laminates/Sunmica

• Connect and integrate Tableau with Salesforce Data Cloud as a primary data source
• Handle large datasets from Salesforce Data Cloud and Salesforce Core Cloud, ensuring efficient query performance
• Implement of row-level security (RLS) and data governance.
• Experience with Salesforce Data Cloud (Data Modeling, DLOs, DMOs) and Permission Sets.
• Troubleshoot data discrepancies between Salesforce Data Cloud and Tableau outputs
• Understanding Salesforce objects (Leads, Opportunities, Accounts, User, Job Card, Invoice)
• handling different data granularities (lead, opportunity, aggregated targets)

Understanding CRM analytics and customer lifecycle metrics

Python Automation Engineer -

JD : 

• Engage with development teams to improve the quality of the application.
• Provide in-depth technical mentoring across the test automation team.
• Provide highly innovative solutions to automatically qualify the application.
• Routinely exercise independent judgment in test automation methods, techniques and criteria for achieving objectives.

Experience/Exposure:

• Mid-level programming skills in Python
• Experience with UI driven test automation framework such as selenium, Playwright
• Experience with CI/CD tool
• Ability to troubleshoot complex software / hardware configuration problems
• Strong analytical & problem solving, documentation, and communication skills
• Passion for product quality and eagerness to learn new technologies.
• Ability to function effectively in a fast-paced environment and manage continuously changing business needs. Excellent time management skills require

ROLE SUMMARY:

We are seeking a highly skilled and experienced SDE II .NET Engineer to join our team. As a member of our team, you will work closely with our development team to design, develop and implement software solutions using the .NET framework and related technologies.

QUALIFICATION:

• Excellent academic record – B.E./B.Tech IT, CSE/ MCA
• 3 to 6 years of relevant software development experience with .NET technologies and frontend - Angular 2+/React.js
• Hands-on experience in C#, ASP.NET Web APIs, SQL Server Database with Entity Framework
• Hands-on experience with Angular 2+ or React.js
• Hands-on experience with RESTful Web API
• Hands-on experience in LINQ, Asynchronous programming
• Good understanding of OOPS concepts
• Good Knowledge of JavaScript and JavaScript frameworks
• Experience in integrating different 3rd party APIs (eg. Google Maps, Facebook etc.)
• Good knowledge of GIT
• Good to have: Node.Js, MongoDB, Gulp, Webpack, Azure, AWS, Docker

COMPETENCIES:

● Excellent verbal and written communication

● Willingness to learn and develop your skill set

● Works well within a team environment

● Logical thinker with good problem-solving and analytical skills

● Willingness to get to the root of the problem

● Proactive can do and can think the approach to the job

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 🌱

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 🌱

• Automate and maintain ML and Data pipelines at scale
• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
• Maintain and expand our on-prem deployments with spark clusters
• Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure

• 5 years of IT experience in data-driven or AI technology products
• Understanding of ML Model Deployment and Lifecycle
• Extensive experience in Apache airflow for MLOps workflow automation
• Experience is building and automating data pipelines
• Experience in working on Spark Cluster architecture
• Extensive experience with Unix/Linux environments
• Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
• Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
• Experience with Kubernetes or Docker Swarm
• Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
• Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
• Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
• Hands-on software and hardware troubleshooting experience.
• Experience documenting and maintaining configuration and process information.
• Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch