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Data Science
Python
Machine Learning (ML)Responsibilities
- Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
- Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness
- Work closely with other functional teams to integrate implemented systems into the SaaS platform
- Suggest innovative and creative concepts and ideas that would improve the overall platform
Qualifications
The ideal candidate must have the following qualifications:
- 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
- MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
- In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python is a must
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.
Location
Chennai, India
Javascript
React.js
React Native
HTML/CSSSkills
Good coding/problem solving skills and interest in learning new things will be the key. Time/Training will be provided to learn new technologies/tools.
3 or more years of experience in building web/mobile applications using the following languages
● HTML/CSS3, Complex Responsive Design Layouts, StyleX
● Typescript / JavaScript
● React / Vue / Angular
● Cordova / Ionic - Capacitor
● React ARIA, Antd
● eCharts, D3
● Axios / API integration
● Animations with Framer
● View Performance Optimisation
Responsibilities
● Writing good quality code with component framework using latest standards
● Themeable react components with different variations of the component
● Design mobile-based and web based features
● Work with other developers to ensure that the product is functional and visually
appealing.
● Ensure that the website is optimized for various devices.
● Stay up-to-date on emerging technologies and using adopt latest ones
NodeJS (Node.js)
MongoDB
ExpressRel. Experience: 4+ Yrs. Minimum 3 Years of experience in NodeJs
· Javascript concepts
· NodeJS proficiency
· Web programming concepts
· SQL and DB concepts
· Caching concepts
· Knowledge of good programming practices
· Logical and analytical skills
· Communication
if interested please send your updated profile to valli at the rate of sangathr dotcom
Java
Spring Boot
KotlinEgen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.
You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.
Required Experience:
- Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
- Have experience working and strong understanding of object-oriented programing and cloud technologies
- End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
- Strong experience with unit and integration testing of the Spring Boot APIs.
- Strong understanding and production experience of RESTful API's and microservice architecture.
- Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.
Nice to have's (but not required):
- Exposure to Kotlin or other JVM programming languages
- Strong understanding and production experience working with Docker container environments
- Strong understanding and production experience working with Kafka
- Cloud Environments: AWS, GCP or Azure
As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.
Roles and Responsibilities:
- Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
- Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
- Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
- Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
- Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
- Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
- Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.
Requirements:
- Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
- Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
- Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
- Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
- Proven ability to translate complex data into actionable insights for stakeholders.
- Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
- Comfortable working under tight deadlines and strong attention to detail.
- Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
- Knowledge of GDPR, PECR, and other relevant privacy regulations.
- A/B testing various ideas.
- Analyzing the data and users’ feedback.
- Exchanging ideas/data/feedback with other departments (Product, marketing, top management) in order to present results and make the product more user-centric.
- Driving traffic to website, landing pages, social media pages
- Understanding conversion rate optimization (CRO) principles and hacks and being able to apply CRO hacks to any businesses.
- Working on a lean startup process.
- Working with the AARRR Sales Metrics (Acquisition – Activation – Retention – Referral - Revenue)
- Prioritizing growth channels.
- Optimizing channels in order to always improve the performance of the business.
- Scaling and Automating the growth processes.
Requirements
- Experience in SaaS marketing would be prefered
- Being data-driven and kind of a data-geek: clear understanding of data, analytics, metrics and statistics.
- Being social and understanding users’ behavior. Having great customer relations skills and being focus on customer experience
- Willing to learn.
- Having a startup mindset
Spring BootJavaJavascriptReact.js
Angular (2+)• Should have hands-on experience in Java + Spring boot and REST/JSON API
• Should have hands-on experience in Java + Angular and REST/JSON API Spring ORM(Spring Data JPA or Hibernate)
• Basic HTML,CSS,Bootstrap
• Basic JavaScript, JQuery or UI frameworks.
• Knowledge of SQL will be an advantage.
• Ability to quickly diagnose the problem areas and come up with solutions and/or workarounds.
• Understanding of source code management and necessary technical documentation.
• Having hands-on experience and knowledge of Rest APIs and JSON.
• Should have been part of the development of production-grade applications on java Spring + REST/JSON + HTML + Javascript.
• Should have been part of development of production-grade application on Java + Angular + REST/JSON + HTML + Javascript.
• Good Communication skills, as require direct client interaction.
•The Person should review on HOB (Health of Business) and take quick measures reg concern areas and have process/check points
•The person should effectively work in collaboration with cross-functional resources like HR, Ops, etc... .
• The person should come up with innovative approach towards the HOW / HOW ELSE aspect of achieving the goal.
•The person should enable the direct reportees in interventions which focuses on their development.
•The person should assess the branch culture and enable high performing work culture in the branch.
Key Competencies
•Team Leadership
•Planning and Organizing
•Conceptual thinking
Transition Plan
•ability to select and train team members
•ability to deploy and redeploy resources within the unit.
Span of
- 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.
Data Science
R ProgrammingPython- Python coding skills
- Scikit-learn, pandas, tensorflow/keras experience
- Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
- Implementing Machine learning models and pushing it to production
- Creating docker images for ML models, REST API creation in Python
- Additional Skills Compulsory:
- Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc
- Additional Skills Compulsory:
- Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
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