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Java
PythonDeep-Rooted.Co is on a mission to get Fresh, Clean, Community (Local farmer) produce from harvest to reach your home with a promise of quality first! Our values are rooted in trust, convenience, and dependability, with a bunch of learning & fun thrown in.
Founded out of Bangalore by Arvind, Avinash, Guru and Santosh, with the support of our Investors Accel, Omnivore & Mayfield, we raised $7.5 million in Seed, Series A and Debt funding till date from investors include ACCEL, Omnivore, Mayfield among others. Our brand Deep-Rooted.Co which was launched in August 2020 was the first of its kind as India’s Fruits & Vegetables (F&V) which is present in Bangalore & Hyderabad and on a journey of expansion to newer cities which will be managed seamlessly through Tech platform that has been designed and built to transform the Agri-Tech sector.
Deep-Rooted.Co is committed to building a diverse and inclusive workplace and is an equal-opportunity employer.
How is this possible? It’s because we work with smart people. We are looking for Engineers in Bangalore to work with thehttps://www.linkedin.com/in/gururajsrao/"> Product Leader (Founder) andhttps://www.linkedin.com/in/sriki77/"> CTO and this is a meaningful project for us and we are sure you will love the project as it touches everyday life and is fun. This will be a virtual consultation.
We want to start the conversation about the project we have for you, but before that, we want to connect with you to know what’s on your mind. Do drop a note sharing your mobile number and letting us know when we can catch up.
Purpose of the role:
* As a startup we have data distributed all across various sources like Excel, Google Sheets, Databases etc. We need swift decision making based a on a lot of data that exists as we grow. You help us bring together all this data and put it in a data model that can be used in business decision making. * Handle nuances of Excel and Google Sheets API. * Pull data in and manage it growth, freshness and correctness. * Transform data in a format that aids easy decision-making for Product, Marketing and Business Heads. * Understand the business problem, solve the same using the technology and take it to production - no hand offs - full path to production is yours.
Technical expertise:
* Good Knowledge And Experience with Programming languages - Java, SQL,Python. * Good Knowledge of Data Warehousing, Data Architecture. * Experience with Data Transformations and ETL; * Experience with API tools and more closed systems like Excel, Google Sheets etc. * Experience AWS Cloud Platform and Lambda * Experience with distributed data processing tools. * Experiences with container-based deployments on cloud.
Skills:
Java, SQL, Python, Data Build Tool, Lambda, HTTP, Rest API, Extract Transform Load.
Python
Jenkins-
Fix issues with plugins for our Python-based ETL pipelines
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Help with automation of standard workflow
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Deliver Python microservices for provisioning and managing cloud infrastructure
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Responsible for any refactoring of code
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Effectively manage challenges associated with handling large volumes of data working to tight deadlines
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Manage expectations with internal stakeholders and context-switch in a fast-paced environment
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Thrive in an environment that uses AWS and Elasticsearch extensively
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Keep abreast of technology and contribute to the engineering strategy
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Champion best development practices and provide mentorship to others
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First and foremost you are a Python developer, experienced with the Python Data stack
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You love and care about data
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Your code is an artistic manifest reflecting how elegant you are in what you do
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You feel sparks of joy when a new abstraction or pattern arises from your code
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You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
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You are a continuous learner
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You have a natural willingness to automate tasks
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You have critical thinking and an eye for detail
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Excellent ability and experience of working to tight deadlines
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Sharp analytical and problem-solving skills
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Strong sense of ownership and accountability for your work and delivery
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Excellent written and oral communication skills
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Mature collaboration and mentoring abilities
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We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
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Delivering complex software, ideally in a FinTech setting
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Experience with CI/CD tools such as Jenkins, CircleCI
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Experience with code versioning (git / mercurial / subversion)
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Deliver plugins for our Python-based ETL pipelines
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Deliver Python microservices for provisioning and managing cloud infrastructure
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Implement algorithms to analyse large data sets
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Draft design documents that translate requirements into code
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Effectively manage challenges associated with handling large volumes of data working to tight deadlines
-
Manage expectations with internal stakeholders and context-switch in a fast-paced environment
-
Thrive in an environment that uses AWS and Elasticsearch extensively
-
Keep abreast of technology and contribute to the engineering strategy
-
Champion best development practices and provide mentorship to others
-
First and foremost you are a Python developer, experienced with the Python Data stack
-
You love and care about data
-
Your code is an artistic manifest reflecting how elegant you are in what you do
-
You feel sparks of joy when a new abstraction or pattern arises from your code
-
You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
-
You are a continuous learner
-
You have a natural willingness to automate tasks
-
You have critical thinking and an eye for detail
-
Excellent ability and experience of working to tight deadlines
-
Sharp analytical and problem-solving skills
-
Strong sense of ownership and accountability for your work and delivery
-
Excellent written and oral communication skills
-
Mature collaboration and mentoring abilities
-
We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
-
Delivering complex software, ideally in a FinTech setting
-
Experience with CI/CD tools such as Jenkins, CircleCI
-
Experience with code versioning (git / mercurial / subversion)
Hiring for Azure Data Engineers.
Location: Bangalore
Employment type: Full-time, permanent
website: www.amazech.com
Qualifications:
B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Electrical or Electronic with good academic background.
Experience and Required Skill Sets:
• Minimum 5 years of hands-on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
• Experience in Data warehouse/analytical systems using Azure Synapse.
Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development, Synapse, etc.
• Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL, and Purview.
• Good technical knowledge in Microsoft SQL Server BI Suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI
• Design and develop batch and real-time streaming of data loads to data warehouse systems
Other Requirements:
A Bachelor's or Master's degree (Engineering or computer-related degree preferred)
Strong understanding of Software Development Life Cycles including Agile/Scrum
Responsibilities:
• Ability to create complex, enterprise-transforming applications that meet and exceed client expectations.
• Responsible for the bottom line. Strong project management abilities. Ability to encourage the team to stick to timelines.
Must Have Skills:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good experience in SQL DBs - Be able to write queries including fair complexity.
• Should have excellent experience in Big Data programming for data transformation and aggregations
• Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
• Good customer communication.
• Good Analytical skills
Python
Data Analytics- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Data Science
R ProgrammingPython1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.
2) Independently Build and refit robust models for achieving game-changing growth while managing risk.
3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.
4) Help define the data infrastructure strategy for Indian subsidiary.
a. Monitor data quality and quantity.
b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them.
c. Build a culture of strong automation and monitoring
d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison.
Required Skills & Qualifications:
1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required.
2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc.
3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.)
4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools
5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred).
6) Demonstrated autonomy, thought leadership, and learning agility.
- Creating, designing and developing data models
- Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
- Validating results and creating business reports
- Monitoring and tuning data loads and queries
- Develop and prepare a schedule for a new data warehouse
- Analyze large databases and recommend appropriate optimization for the same
- Administer all requirements and design various functional specifications for data
- Provide support to the Software Development Life cycle
- Prepare various code designs and ensure efficient implementation of the same
- Evaluate all codes and ensure the quality of all project deliverables
- Monitor data warehouse work and provide subject matter expertise
- Hands-on BI practices, data structures, data modeling, SQL skills
- Minimum 1 year experience in Pyspark
Data Science
Machine Learning (ML)PythonR ProgrammingTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Author data services using a variety of programming languages
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centres and Azure regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Work in an Agile environment with Scrum teams.
- Ensure data quality and help in achieving data governance.
Basic Qualifications
- 2+ years of experience in a Data Engineer role
- Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases
- Experience with data pipeline and workflow management tools
- Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Experience supporting and working with cross-functional teams in a dynamic environment
Deep LearningMachine Learning (ML)PythonJD : ML/NLP Tech Lead
- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEd
WHAT ARE WE BUILDING :
- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured.
- We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.
Required Skill sets :
- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.
- A deep hunger to learn, understand, and apply your knowledge to create technology.
- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.
- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.
- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.
- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.
- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.
- Good understanding of Algorithms and Data Structures.
- Strong programming experience in C++/Java/Lisp/Haskell.
- Good written and verbal communication.
Desired Skill sets :
- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.
- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP
- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)
- Open Source Contribution (include the link to your projects, GitHub etc.)
- Knowledge of functional programming.
- International level participation in ACM ICPC, IOI, TopCoder, etc
- International level participation in Physics or Math Olympiad
- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.
What can you expect :
- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.
- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.
- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.
- Learn effective engineering habits required to build/deploy large production-ready ML applications.
- Ability to do quick iterations and deployments.
- We would be excited to see you publish papers (though certain restrictions do apply).
Website : http://Digitalaristotle.ai
Work Location: - Bangalore
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