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Machine Learning (ML)We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
· Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services
· Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.
· Develop RESTful and SOAP Webservices for data exchange and communication between different systems.
· Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)
· Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.
· Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.
· Develop and maintain documentation for integration processes, interfaces and configurations.
· Perform Code reviews .
· Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.
Personnel Specification
Education: Bachelor’s degree in computer science, Information Technology or related field
Experience:
• 5 or more years of experience in IT industry.
• Experience in Cloud based integration Platform.
Skills and Abilities:
· Proven experience in designing, developing, and implementing integration solutions using OIC
· Strong understanding of RESTful and SOAP web services, JSON, and other data formats.
· Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.
· Strong Knowledge in OIC API Integration.
· strong understanding on SOAP based services and Rest bases services.
· Strong development skills in JAVA
· Strong knowledge on Authentication methodologies to be followed during the integration platforms.
· Strong Knowledge in OIC GEN2 and GEN3
.NET
MongoDB
XML#HiringAlert
We are looking ".Net Architect" for Reputed Client @ Permanent Role
Experience: 10+ Years
Skills :
•Good understanding of the cross cutting architectural elements like Security (Authentication, Authorization, Distributed logging, tracing and Audit, Infra as Code, Database Design (SQL Server and MongoDB)
•Deep understanding of architectural concepts, issues and trends
•Expert knowledge in Object Oriented Principles and Design Patterns
•Expertise in n-tiered web architectures, SOA and related technologies (XML, SignalR , WCF, SOAP, REST, JSON, etc.)
•Strong technical expertise in the Relational Databases, No SQL DB (Ex: SQL Server, MongoDB), Web development and object-oriented methodologies.
•Must be a Team player able to work effectively at all levels of an organization with the ability to influence others to move toward consensus.
•Should review design and implementation of junior designers and developers on the quality of technical deliverables and adherence to quality process
•Excellent verbal and written communication skills.
Location : Chennai & WFO
Machine Learning (ML)
Deep Learning• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
Job Location: Chennai
Condé Nast is looking for a Project Manager - Product Operations who has proven
experience in project management and the ability to lead projects across various
teams. We are looking for a creative and dedicated individual who will fit with our
collaborative culture. You will be working closely across teams to ensure that all
project requirements, deadlines, and schedules are on track.
Primary Responsibilities
● Become a subject matter expert on experience with customer
segmentation, profiling, merchandising and targeting
● Produce high-level product requirements, iterate with design and
engineering teams.
● Engage and coordinate across teams to maintain product and strategy
alignment.•
● Manage the roadmap, prioritize product opportunities, refine feature ideas and
maintain existing features to drive business goals.
● Communicate project status, key issues and decisions, coordinate meetings
through the project lifecycle with appropriate business units and stakeholders
● Ensure delivery happen on time
● Focus on continual improvement and innovation through retrospective
Desired Skills & Qualification
● 6 to 8 years Project Management experience
● 1+ years of work experience in digital marketing / brand marketing
/ performance marketing in a consumer-centric business
● PMP certified
● A proven track record of working with engineers, and various stakeholders
to coordinate,plan, execute, and track product releases end to end.
● Experience managing data projects and online web applications
● Proven ability to manage multiple initiatives at the same time
● Excellent written and verbal communication skills
● Strong problem solving skills and willingness to think outside the box and roll
up one’s sleeves to get the job done
● Familiarity with agile software development methodologies.
● Proven ability to create clear, detailed, concise documentation -
Business Requirement, stories,
● Status reports, roadmaps, charts, etc. (please include samples)
● Proficient with one or more PM and Roadmap tools such as MS Project,
Jira, ProdPad, as well as MS Excel, Visio, PowerPoint and Word
● Experience and interest in media, publishing, and / or a related industry is a
plus
● Knowledge of UAT and QA/QC processes is an added advantage
● Strong understanding of technologies (Python, JS, Java, Cloud services, etc.) is
a plus
● Bachelor’s degree in business or information technology preferred.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker
and Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of
communities, culture and the contemporary world. Our operations are headquartered
in New York and London, with colleagues and collaborators in 32 markets across the
world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and
Latin America.
Condé Nast has been raising the industry standards and setting records for excellence
in the publishing space. Today, our brands reach over 1 billion people in print, online,
video, and social media.
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.
Java
Spring Boot
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
Google AnalyticsÉsah Tea is a brand devoted to giving you the ultimate tea experience. We believe that joy and warmth can be shared in many forms but is best when shared with a cup of tea. Our tea is made with absolute care and honesty by the best growers in Assam who believe in only giving the best.
Our tea is the perfect harmony of aesthetics, flavor, complexity, and health. Our mission to give you the best tea experience as a result of the respect we have for the art and craft of tea making and its culture. Directly from the tea gardens of Assam, from the most authentic growers with finesse in the cultivation of tea, our mission is to give you the best experience. We care about our environment and believe in sustainable and ethical extraction and production. Our initiative to switch to plastic-free teabags is a result of adopting sustainability as an ethic.
Ésah Tea recently raised a Pre Series A round from a well-known VC and has some milestones that the company would like to achieve. As it is well known in the eCommerce industry, achieving higher milestones month after month, year after year is a standard. Hence, Ésah Tea is looking to build a core team that can take it towards the next stage of its eCommerce journey. So if you think that you are perfect to work in a Startup, Let's have a chat.
The Job
- Manage paid acquisition channels like Google Ads and Facebook Ads. Analyze the results and optimize individual campaigns.
- Be responsible for the ROI of dozens of campaigns you execute.
- Own, drive, and report on crucial marketing efficiency metrics such as CAC, LTV, and, ROAS
- Understand your target audience and customer behaviors. You create strategies and campaigns, understanding the entire user journey from account creation until purchase.
- Analyze creative data and make recommendations to the Creative designers
- Come up with a hypothesis and test it scientifically to consolidate learnings, thereby increasing the baseline of the team's quality.
- Document findings in a structured way to contribute to the company's global knowledge base
Collaborate with international peers in other geographical markets to keep the highest possible baseline quality in your campaigns.
The Ideal Candidate
- 2-4 years of paid marketing experience, preferably in consumer-facing products
- Fluent in English (Advanced writing and speaking English skills)
- Experience with creative experimentation
- Experience with fast-paced, high growth startups
- Strong analytical and problem-solving skills
- A natural strategist
- Makes fast business decisions that prove to be profitable
Nice to have
- SQL
- Understanding of ad platforms algorithms
Experience with programmatic media (DSP)
Note: Must Be willing to relocate to Guwahati, Assam
Location: Chennai
Job Type: Permanent
Experience: 4+ Years
Job Description
- Develop and implement test plans and procedures using the testing tools
- Hands on Experience with web application testing.
- Experience with test automation for web using tools such as Selenium using Ruby/Java
- Good knowledge of working with PostgreSQL
- Good knowledge of writing test cases in Zephyr scale (JIRA)
- Good knowledge using Postman API
- Good knowledge of GitHub
- Knowledge in Cucumber with Ruby is added advantage
- Should have worked with Agile technology
Python
NodeJS (Node.js)
PostgreSQLIdeal candidate must have :
- 2+ years of experience in writing code
- Ability to meet tight deadlines
- Can work independently and be a team contributor
- Must have good knowledge of Node, Python and Scripting languages
- Experience in one or more of RDBMS - PostgreSQL, MySQL or Oracle
- Experience with NoSQL and real-time DB - Firebase/Firestore or MongoDB
- Must be able to write concise and high-quality API
- Must be a quick learner, curious and ambitious
Javascript
HTML/CSS
jQuery
AngularJS (1.x)
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