Machine Learning (ML)
Deep LearningPrimary Responsibilities
- Understand current state architecture, including pain points.
- Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
- Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
- Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
- Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
- Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
- Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
- Make recommendations and assess proposals for optimization.
- Identify operational issues and recommend and implement strategies to resolve problems.
Must have:
- 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
- Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
- Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
- Strong programming skillset with high proficiency in Python, R, etc.
- Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
- Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
- Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
- Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
- Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
- Willing to flex daily work schedule to allow for time-zone differences for global team communications
- Strong interpersonal and communication skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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Python- Hands on Work experience as a Python Developer
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Key Responsibilities
• Identify and develop new business opportunities across target industries and
customer segments.
• Promote and sell lubrication system solutions including:
o Grease systems: Dual Line, Progressive, Multiline, Spray
o Oil systems: Pre-Jacking, HP-LP Systems, Circulating Systems
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Please note this will be a night shift job.
We seek an ambitious and energetic Business Development Manager to help us expand our clientele. You will be at the front of the company and be dedicated to creating and applying an effective sales strategy. Your goal will be to drive sustainable financial growth by boosting sales and forging strong relationships with clients.
Job Description:
1. To connect with qualified leads from SDRs and your contribution.
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4. Work with BA to document and break the requirement into modules and features.
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Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
This profile will include following responsibilities:
- Perform Web Application Security Testing
- Perform Mobile Application Security Testing
- Scan Network for Security Vulnerabilities
- Co-ordinate with the clients for Project related queries
- Undertake meeting with the client teams for discussing security issues and recommendations
- Create detailed security reports
- Keep track of project progress & send regular updates
- Research on Open source security tools & new security topics
- Create Security Knowledge base for the teamThe candidate should be we well versed with application security concepts, including the mitigation techniques:
- Web Application Security – OWASP Top 10
- Mobile Application Security – Mobile OWASP Top 10
- Threat Modelling
- Risk Rating Frameworks
- Web Traffic Interception (For Web/Mobile apps)
- SSL
- Network Concepts
- Web Development Basics - HTTP/HTML/JavaScript
- Basic Mobile Application Concepts (either Android or IOS)
Python
Git
Job Description:
- Design, implement and deliver custom solutions using the existing robotics framework.
- Debug issues, do root-cause analysis and apply fixes.
- Design and implement tools to facilitate application development and testing.
- Participate in architectural improvements.
- Work with team members in deployment and field testing.
Requirements:
- Bachelor Degree / Masters in Engineering (ECE or CSE preferred)
- Work experience of 3+ years in software programming.
- Proficiency in Python programming for Linux based systems.
- Full understanding of software engineering.
- Basic Knowledge of Robot Operating System(ROS) is a plus.
- Good understanding of the algorithms and control loops.
- Working knowledge of Git: creating, merging branches, cherry-picking commits, examining the diff between two hashes. Advanced Git usage is a plus.
- Knowledge of video streaming from edge devices is a plus.
- Thrive in a fast-paced environment and have the ability to own the project’s tasks end-to-end with minimum hand-holding
- Learn and adapt new technologies & skills. Work on projects independently with timely delivery & defect free approach.
NodeJS (Node.js)
Java
Javascript
MongoDBGreat opportunity to work in Roots Innovations Pvt.ltd., We simplify the RPA (Robotic Process Automation) platform with AI-powered Bots to manage business processes & compliance for all types of industry sectors.
Educational Qualification: BE/B.Tech/BCA/BCS/MSC/MCA/MCS/M.Tech(Certification course will be Advantage)
Experience - 4 to 10 years
Job Description:
· Implement a robust set of services and APIs to power the back-end application
· Optimize application for maximum speed and scalability
· Implementation of security and data protection
· Follow and understand architecture design and implementation on
development, testing, implementation, and documentation.
· Conduct reviews and conduct team training on the complex features of NodeJS.
· Analyze business/functional requirements and translate them into
concrete tasks
· Manage Product releases
Skill Set Required:
· Experienced in NodeJs or any NodeJS frameworks
· Experienced & Good knowledge of Relational and NoSQL databases (MongoDB)
· Exposure to Cloud Environments like AWS, MS Azure or Google Cloud
· Knowledge of an interest in Agile Methodologies, such as Extreme Programming (XP) and Scrum
· Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)
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Full Stack Developer - Averlon