Developers, System Admins and DevOPS/SRE and release engineers

Job Title -Data Scientist

Job Duties

1. Data Scientist responsibilities includes planning projects and building analytics models.
2. You should have a strong problem-solving ability and a knack for statistical analysis.
3. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.

Responsibilities

Own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology.

Create scalable solutions to business problems using statistical techniques, machine learning, and NLP.

Design, experiment and evaluate highly innovative models for predictive learning

Work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations

Establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation.

Research and implement novel machine learning and statistical approaches.

Requirements

2-5 years of experience in data science.

In-depth understanding of modern machine learning techniques and their mathematical underpinnings.

Demonstrated ability to build PoCs for complex, ambiguous problems and scale them up.

Strong programming skills (Python, Java)

High proficiency in at least one of the following broad areas: machine learning, statistical modelling/inference, information retrieval, data mining, NLP

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

Primary Skills

DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python

Skills:

Good work experience showing growth as a Data Engineer.

Hands On programming experience

Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS Lake Formation.

Excellent knowledge in: Python, Scala/Java, Spark, AWS (Lambda, Step Functions, Dynamodb, EMR), Terraform, UI (Angular), Git, Mavena

Experience of performance optimization in Batch and Real time processing applications

Expertise in Data Governance and Data Security Implementation

Good hands-on design and programming skills building reusable tools and products Experience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, Quick Sight or similar.

Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark).

Knowledge and hands-on experience with server less technologies such as Lambda, MSK, MWAA, Kinesis Analytics a plus.

Expertise in practices like Agile, Peer reviews, Continuous Integration

Roles and responsibilities:

Determining project requirements and developing work schedules for the team.

Delegating tasks and achieving daily, weekly, and monthly goals.

Responsible for designing, building, testing, and deploying the software releases.

Salary: 25LPA-40LPA

Our client has a B2C startup in the Fintech space building the payment system for the

subscription economy. We have raised pre-seed funding from some of the leading

investors in the country. A small brief about their product - To build the payment

system for the subscription economy and make it easier to discover and manage

subscription payments in India and abroad. To give subscription merchants the

power to increase their offering by providing user subscription data, multiple login

authentication, distribution and one click subscription checkouts. To enable users to

participate in the subscription economy & increase adoption of new subscriptions.

The core team come from strong backgrounds having been alumni of IIT Madras,

IIM Calcutta as well as having worked with some of the top startups in the

ecosystem including Swiggy, Mckinsey, Barclays, etc..

What we're looking for

We are looking for an experienced Python developer to join our engineering team

and help us develop our mobile application. In this role, you will be responsible for

writing and testing scalable code, developing back-end components, and integrating

user-facing elements in collaboration with front-end developers.

To be successful as a Python developer, you should possess in-depth knowledge of

object-relational mapping, experience with server-side logic, and above-average

knowledge of Python programming.

As one of the earliest members in engineering, you will have the flexibility to design

the application and systems from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Coordinating with development teams to determine application requirements.Python Backend Developer

2

Writing scalable code using Python programming language.

Developing back-end components.

Implement business logic in the backend

Integrating user-facing elements using server-side logic.

Create restful APIs for a seamless integration with our mobile front end

Testing and debugging applications.

Assessing and prioritizing client feature requests.

Integrating data storage solutions.

Coordinating with front-end developers.

Reprogramming existing databases to improve functionality.

Developing digital tools to monitor online traffic.

Qualifications

4+ years of experience in Python, Django, Mongo, Express, MySQL, etc

Have built applications capable of serving high volume with low latency in

production

Following practices of agile development with continuous integration/deployment

A deep understanding and multi-process architecture and the threading

limitations of Python.

Experience in deploying applications in AWS cloud

Ability to collaborate on projects and work independently when required.

Knowledge in building applications for Fintech/payments domain is a bonus

Bachelor's or Master's degree in CS or equivalent from a reputed institution

Join the Team! Full Stack Developer | 3-4 yrs experience | Remote

Do you want first-hand experience in building a startup with a small and growing team? Do you think data and tech can be a game changer?

Welcome to Co.labx: Co.labx is a tech-enabled, leadership consulting firm. At Co.labx, we are challenging the status quo & helping organisations become a force for good. We are a gender-neutral company, work remotely, partner on challenging projects with our clients, and strive to create a balance between people, planet, & profit. We now wish to enhance the role that technology plays in our work. And we have identified some exciting problem statements to push our boundaries in the next 1 year.

About the Role: At Co.labx, we’re proud to build products that accelerate the growth of organisations. To this end, we are looking to onboard a full-stack developer with previous experience working with early-stage startups. We’re looking for a candidate with 3-4 years of experience building, testing, and deploying web or mobile based applications. This individual would possess a strong product mindset, be user-centric, and be willing to experiment and build tools that enable teams to thrive.

Competencies

3-4 years of experience in the software development sector (service / product)

Experience with backend development using Ruby on Rails, Python Django, Java Spring or any other server side framework

Experience with Javascript, CSS and HTML and some frontend frameworks like React.js, Angular.js or equivalent

Experience working with relational databases (eg. MySQL or PostgreSQL)

Familiarity with RES APIs and developing endpoints in a RESTful manner

Experience writing industry-grade, well-tested code for a web-based product or service

Ability to work with uncertainty and rapidly adapting to changes

Strong leadership skills and ability to collaborate with multiple stakeholders to see a product to completion

Excellent communication skills

Expectations

Help plan and develop new software products for the organisation

Write clean, maintainable and scalable code that is production ready and well-tested

Gather requirements and understand need of new products from various teams

Use basic analytics tools and techniques to understand user behaviour and suggest changes to existing products (or enable other team members to do so)

Our pay scale for this role is between 12-15 lacs

Still here? Great, these are the next steps & an overview of the selection process:

Reach out: We love talking about our work, so drop us an email if you want to know more. And if this opportunity excites you, apply with your resume.

Showcase your work: We will share 2 short pre-works with you. We love original, well thought out work. Insider Tip - Work speaks louder than words!

Interview & Selection

If interested, reach out right away and we’re excited to get to know you!

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet business requirements
3. Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
4. Work with Data, Analytics & Tech team to extract, arrange and analyze data
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
7. Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
8. Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
9. Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

1. SQL
2. Ruby or Python(Ruby preferred)
3. Apache-Hadoop based analytics
4. Data warehousing
5. Data architecture
6. Schema design
7. ML

1.  Prior experience of 2 to 5 years as a Data Engineer.
2. Ability in managing and communicating data warehouse plans to internal teams.
3. Experience designing, building, and maintaining data processing systems.
4. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
5. Excellent analytic skills associated with working on unstructured datasets.
6. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

• Looking for a talented PHP Developer having experience in writing clean PHP code.
• Someone very good at understanding requirements and developing services & features quickly.
• Good communication skills & team player, who engages with all stakeholders of the project to add clarity for all aspects of the ongoing software development project.

Your responsibilities will include:

• Having good attention to detail & requirements.
• Building software applications in PHP.
• Developing applications using best design and coding practices.
• Writing, maintaining & upgrading middleware & back-end code and building efficient PHP modules.
• Troubleshooting application and code issues.
• Integrating code with Databases & data storage solutions.
• Finalizing back-end features and testing web services.
• Updating and altering application features to enhance performance.

Key Requirements :

• Degree in Computer Science, Engineering or a related field.
• Must have Experience in PHP (Lumen & Laravel).
• Experience in creating scalable service-oriented & serverless applications.
• Experience with secure coding.
• Proficient BitBucket and Git.
• Should be experienced in following Agile methodologies. Tools - Jira & Confluence.
• Must have experience in RDBMS - Postgres/MySql and NoSql - MongoDB/Redis.
• Additional knowledge/experience in Python and NodeJs will be good to have.
• Good to have experience in AWS.
• Good problem solving, decision making and prioritization skills.