11+ NLB Jobs in India
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Designation: Specialist - Cloud Service Developer (ABL_SS_600)
Position description:
- The person would be primary responsible for developing solutions using AWS services. Ex: Fargate, Lambda, ECS, ALB, NLB, S3 etc.
- Apply advanced troubleshooting techniques to provide Solutions to issues pertaining to Service Availability, Performance, and Resiliency
- Monitor & Optimize the performance using AWS dashboards and logs
- Partner with Engineering leaders and peers in delivering technology solutions that meet the business requirements
- Work with the cloud team in agile approach and develop cost optimized solutions
Primary Responsibilities:
- Develop solutions using AWS services includiing Fargate, Lambda, ECS, ALB, NLB, S3 etc.
Reporting Team
- Reporting Designation: Head - Big Data Engineering and Cloud Development (ABL_SS_414)
- Reporting Department: Application Development (2487)
Required Skills:
- AWS certification would be preferred
- Good understanding in Monitoring (Cloudwatch, alarms, logs, custom metrics, Trust SNS configuration)
- Good experience with Fargate, Lambda, ECS, ALB, NLB, S3, Glue, Aurora and other AWS services.
- Preferred to have Knowledge on Storage (S3, Life cycle management, Event configuration)
- Good in data structure, programming in (pyspark / python / golang / Scala)
About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
World's largest Media Investment Company
Role - Senior Executive Analytics (BI)
Overview of job -
Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.
Reporting of the role - This role reports to the Director - Analytics.
3 best things about the job:
1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients
2. Build and be a part of a dynamic team
3. Being part of a global organisations with rapid growth opportunities
Responsibilities of the role:
• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.
• Work with large data sets via hands-on data processing to produce structured data sets for analysis.
• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.
What you will need:
• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.
• Proficiency in one or more coding languages – preferred languages: Python, R
• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI
• Proficiency in using SQL.
• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.
Global Media Agency - A client of Merito
Our client combines Adtech and Martech platform strategy with data science & data engineering expertise, helping our clients make advertising work better for people.
- Act as primary day-to-day contact on analytics to agency-client leads
- Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
- Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
- Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
- Ensure data quality and integrity
- Interpret and analyse data problems
- Build analytic systems and predictive models
- Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements
- Min 6 - 7 years’ experience working in Data Science
- Prior experience as a Data Scientist within a digital media is desirable
- Solid understanding of machine learning
- A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
- Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
- A knack for statistical analysis and predictive modelling
- Good knowledge of R, Python
- Experience with SQL, MYSQL, PostgreSQL databases
- Knowledge of data management and visualization techniques
- Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
- Evidence of technical comfort and good understanding of internet functionality desirable
- Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
- Proactive and results-oriented
- A positive, can-do attitude with a thirst to continually learn new things
- An ability to work independently and collaboratively with a wide range of teams
- Excellent communication skills, both written and oral
Principal Accountabilities :
1. Good in communication and converting business requirements to functional requirements
2. Develop data-driven insights and machine learning models to identify and extract facts from sales, supply chain and operational data
3. Sound Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting Trees, Time Series Forecasting, etc.
5. Experience in SOTA Deep Learning techniques to solve NLP problems.
6. End-to-end data collection, model development and testing, and integration into production environments.
7. Build and prototype analysis pipelines iteratively to provide insights at scale.
8. Experience in querying different data sources
9. Partner with developers and business teams for the business-oriented decisions
10. Looking for someone who dares to move on even when the path is not clear and be creative to overcome challenges in the data.
Big Data Engineer/Data Engineer
What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge
• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries
These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation
At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment
What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily
Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!
To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0
About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.
Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.
Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.
Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP) • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure
• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design
Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams
Preferred Immediate Joiners
at Meslova Systems Pvt Ltd
Artificial Intelligence (AI) Researchers and Developers
Successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products and intelligent 3D interface. Candidates will work on cutting edge products and technologies in highly challenging domains and will need to have highest level of commitment and interest to learn new technologies and domain specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods
Education Qualification: Bachelor, Master or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills
Location : Hyderabad, Bengaluru, Delhi, Client Location (as needed)
Skillset and Expertise
• Strong software development experience using Python
• Strong background in mathematical, numerical and scientific computing using Python.
• Knowledge in Artificial Intelligence/Machine learning
• Experience working with SCRUM software development methodology
• Strong experience with implementing Web services, Web clients and JSON protocol is required
• Experience with Python Meta programming
• Strong analytical and problem-solving skills
• Design, develop and debug enterprise grade software products and systems
• Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools
• Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local
Indian languages
• Ability to effectively communicate product design, functionality and status to management, customers and other stakeholders
• Highest level of integrity and work ethic
Frameworks
1. Scikit-learn
2. Tensorflow
3. Keras
4. OpenCV
5. Django
6. CUDA
7. Apache Kafka
Mathematics
1. Advanced Calculus
2. Numerical Analysis
3. Complex Function Theory
4. Probability
Concepts (One or more of the below)
1. OpenGL based 3D programming
2. Cryptography
3. Artificial Intelligence (AI) Algorithms a) Statistical modelling b.) DNN c. RNN d. LSTM e.GAN f. CN
Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
Job Description
Role requires experience in AWS and also programming experience in Python and Spark
Roles & Responsibilities
You Will:
- Translate functional requirements into technical design
- Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core cloud services needed to fulfil the technical design
- Design, Develop and Deliver data integration interfaces in the AWS
- Design, Develop and Deliver data provisioning interfaces to fulfil consumption needs
- Deliver data models on Cloud platform, it could be on AWS Redshift, SQL.
- Design, Develop and Deliver data integration interfaces at scale using Python / Spark
- Automate core activities to minimize the delivery lead times and improve the overall quality
- Optimize platform cost by selecting right platform services and architecting the solution in a cost-effective manner
- Manage code and deploy DevOps and CI CD processes
- Deploy logging and monitoring across the different integration points for critical alerts
You Have:
- Minimum 5 years of software development experience
- Bachelor's and/or Master’s degree in computer science
- Strong Consulting skills in data management including data governance, data quality, security, data integration, processing and provisioning
- Delivered data management projects in any of the AWS
- Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports
- Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
- Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
- Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
- Strong knowledge of continuous integration, static code analysis and test-driven development
- Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
- Must have Excellent analytical and problem-solving skills
- Delivered change management initiatives focused on driving data platforms adoption across the enterprise
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations