Sales Research Analyst

Experience  4-6 yrs (Sr developer ) 6-8 yrs (Lead)

Responsibilities

• Interact closely with design, product, and development teams to create elegant, usable, responsive and interactive interfaces across multiple devices.
• Turning UI/UX designs into prototypes, creating excellent interactions from designs, writing reusable content modules and maintainability of the code.
• Implement UI development principles to ensure that the product client-side serves at scale.
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively.
• Review and Optimize application usage, by monitoring key metrics, for maximum speed and scalability
• Mentoring and guiding the team members.
• An ability to perform well in a fast-paced environment and bring in optimal flow for rapidly changing design/ technology.

Requirements

• 5+ years of relevant work experience as a web developer, UI developer, Angular Developer or front-end engineer.
• Sound knowledge in HTML, CSS & JavaScript.
• Familiar with UI layouts, SASS, Bootstrap, and the CSS GRID system
• Proficient with Typescript (Angular 2 & above)
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system.
• Passionate to create good design and usability
• A team player with excellent communication skills

Who are we looking for?  

We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you’re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.  

Job Summary 

• Supporting company mission by understanding complex business problems through data-driven solutions. 
• Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ... 
• Developing end-to-end ML production-ready solutions and visualizations. 
• Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards. 
• Communicating complex technical concepts and findings to non-technical stakeholders of the projects 
• Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms. 
• Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings. 
• Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models. 

Qualification and experience 

• B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields. 
• 5+ years of professional experience in the field of machine learning, and data science. 
• Experience with large-scale Time-series data-based production code development is a plus. 

Skills and competencies 

• Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must. 
• Ability to work on multiple projects. Must have strong design and implementation skills. 
• Ability to conduct research based on complex business problems. 
• Strong presentation skills and the ability to collaborate in a multi-disciplinary team. 
• Must have programming experience in Python. 
• Excellent English communication skills, both written and verbal. 

Benefits and Perks

• Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you. 
• Progressive leave policy for effective work-life balance. 
• Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.  
• Multicultural peer groups and supportive workplace policies.  
• Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work. 

 Hiring Process 

• Call with Talent Acquisition Team: After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements. 
• First Round: Technical round 1 to gauge your domain knowledge and functional expertise. 
• Second Round: In-depth technical round and discussion about the departmental goals, your role, and expectations.
• Final HR Round: Culture fit round and compensation discussions.
• Offer: Congratulations you made it!  

If this position sparked your interest, apply now to initiate the screening process.

About the Role

As a Subject Matter Expert/Team Lead in software development, you will be responsible for overseeing front-end and back-end development teams and their projects. You will push the boundaries of back-end development using the MEAN stack, design and implement APIs to

support front-end services and contribute to the creation of a highly scalable, flexible, and secure backend. In addition, your role will involve optimizing team performance and development through effective leadership and management.

Job Responsibilities:

● Provide leadership and guidance to front-end and back-end

development teams, ensuring the successful completion of projects.

● Demonstrate exceptional coding skills in JavaScript, both on the front

end and backend.

● Utilize advanced proficiency in the MEAN stack (NodeJS, MongoDB,

Express, Angular) to develop robust software solutions.

● Exhibit proficiency and hands-on experience with HTML5 and CSS3

for efficient web development.

● Apply thorough knowledge of software development best practices,

including coding standards, code reviews, source control

management, build processes, continuous integration, and delivery.

● Possess exceptional verbal, written, and listening skills to effectively

communicate technical concepts and requirements.

● Adapt quickly to learn new technologies and incorporate them into the

development process.

● Optimize team performance and development through effective

leadership and management skills.

● Foster excellent communication, interpersonal, and influencing skills

to collaborate with cross-functional teams.

● Demonstrate excellent analytical and problem-solving abilities to

address complex software development challenges.

● Be results-oriented with the ability to plan and deliver projects within

set deadlines.

Qualifications

● Javascript

● NodeJS

● MongoDB

● Angular 4+

● HTML5

● CSS3

● Version Control - Git or Bitbucket

At Tecknotrove, candidates will get an opportunity to learn & work on the latest cutting-edge technologies to build simulation & VR-based applications & modules.

Selected intern's day-to-day responsibilities include:

1. Assist in developing and maintaining software applications

2. Write clean, efficient, and well-documented code

3. Collaborate with team members on various projects

4. Learn and apply best practices in software development

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. are available for duration of 6 months

3. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Post completion of internship candidates will be presented with an opportunity to work full time on payroll of the company based on their internship evaluation.

• 15+ years of Experience in OFSAA Financial Solution Data Foundation and OFSAA Regulatory reporting solutions
• Expert in enterprise solution architecture and design
• Strong understanding in the OFSAA Data Model, Dimension Management and Enterprise Data Warehouse Knowledge.
• Strong Understanding of OFSAA instrument balances reconciliation with General Ledger Summary Level balances
• Experience in defining and build the OFSAA data architecture and sourcing strategy to ensure data accuracy, integrity and quality.
• Understanding of Banking treasury products, US Fed regulatory etc.
• Strong understanding of data lineage. building
• Strong in OFSAA Data Management Tools Knowledge (F2T/T2T/PLT/SCD’s).
• Experience in Business rules configurations in OFSAA framework
• Strong Experience in deploying OFSAA platform (OFSAAI – OFSAA Infrastructure) and installation of OFSAA application - preferably OFSAA 8.x onwards.

§ Experience of developing web based enterprise wide applications in .NET4.5 (C#, ASP.NET), WCF, WPF, AJAX etc

§ Understanding of enterprise application development and deployment.

§ Good understanding OOPS and Design Patterns and experience of tools like Enterprise Architect.

§ Good knowledge of RDBMS design, programming and DBA concepts and experience of working in SQL Server and Oracle databases.

§ Good Design, Coding and Testing skills.

§ Knowledge and exposure to Service Oriented Architecture, Enterprise Service Bus and application Integration (using middleware).

§ Experience of working in electricity utility domain – preferably in EA/AMR/AMI/EMS/IT System Integration/ERP (for Utilities) projects

§ Mobility based software development, GPRS, GSM Knowledge of BI tools implementation.

§ Experience in mobility based applications will be an added advantage.

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

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 🌱