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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.

Role : Nodejs developer

Please find below the JD for the Nodejs developer..

 Role: NodeJs Developer 

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. A basic understanding of front-end technologies is necessary as well. Responsibilities

 • Collaborate with other members of the team, such as front-end developers

 • Writing reusable, testable, and efficient code 

• Design and implementation of low-latency, high-availability, and performant applications 

• Implementation of security and data protection

 • Integration of data storage solutions • Writing unit test cases • Documenting application changes and developing updates. 

Skills 

• Strong proficiency with JavaScript 

• Experience of Node.js and frameworks available such as Express

 • Practical experience with REST, PostgreSQL, WebSocket, MongoDB, Redis. 

• Understanding the nature of asynchronous programming and its quirks and workarounds 

• User authentication and authorization between multiple systems, servers, and environments 

• Integration of multiple data sources and databases into one system 

• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform • Creating database schemas that represent and support business processes

 • Implementing automated testing platforms and unit tests

 • Proficient understanding of code versioning tools, such as Git

 • Good understanding of front-end technologies, such as HTML5, and CSS3  

Key Responsibilities:

1. Design and Development: Lead the design and development of web

applications using Python and Flask, ensuring code quality, scalability, and

performance.

2. Architecture: Collaborate with the architecture team to design and implement

robust, maintainable, and scalable software solutions.

3. API Development: Develop RESTful APIs using Flask to support front-end

applications and external integrations.

4. Database Management: Design and optimize database schemas, write efficient

SQL queries, and work with databases like PostgreSQL, MySQL, or NoSQL

solutions.

5. Testing and Debugging: Write unit tests and perform code reviews to maintain

code quality. Debug and resolve complex issues as they arise.

6. Security: Implement security best practices, including data encryption,

authentication, and authorization mechanisms.

7. Performance Optimization: Identify and address performance bottlenecks in

the application, making improvements for speed and efficiency.

8. Documentation: Maintain clear and comprehensive documentation for code,

APIs, and development processes.

9. Collaboration: Collaborate with cross-functional teams, including front-end

developers, product managers, and QA engineers, to deliver high-quality

software.

10. Mentorship: Provide guidance and mentorship to junior developers, sharing your

knowledge and best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related

field.

Proven experience (4-5 years) as a Python developer, with a strong emphasis on

Flask.

Solid understanding of web development principles, RESTful APIs, and best

practices.

Proficiency in database design and SQL, as well as experience with database

systems like PostgreSQL or MySQL.

Familiarity with front-end technologies (HTML, CSS, JavaScript) and related

frameworks is a plus.

Strong problem-solving skills and the ability to work in a fast-paced, collaborative

environment.

Excellent communication skills and the ability to work effectively in a team.

Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes)

is a plus.

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance

Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable

•  Proficiency in Oops Concepts and C# (Professional)
• ASP.NET MVC | ASP.NET Core | EF Core | MVC applications (Advanced)
• Entity Framework | ADO.NET (Moderate)
• Proficient knowledge in MSSQL | PostgreSQL | Oracle | LINQ | Couch base (Moderate)
• Database design including indexes and data integrity
• Dependency injection , IoC containers using: Autofac , Handlers,
• Understanding of HTML, JS, and CSS
• Client side framework jQuery | Typescript| Angular 3.*+ (Moderate)
• Knowledge in micro services architecture using service brokers would be an added advantage
• Knowledge of cybersecurity aspects on application development would be added advantage
• Should be able to identify application performance bottleneck and solve / recommend solutions
• Develop, perform unit testing
• Working knowledge on source control GIT Lab
• Project management using JIRA

Responsibilities  

• Writing code to solve moderate to complex domain problems for various product and solution areas.

• Developing web application- Writing Unit test.

• Come up with designs and prototypes for pre-design and feasibility study activities

Requirements

• Expertise in JavaScript, JQuery and ASP.Net

• Hands-on experience working with Microsoft SQL Servers.

• Minimum one year of experience in React JS is a must

• Should be able to use Web API.

Mandatory skills:

• Programming skills in Python, Robot framework, Selenium, Shell scripting
• Experience on L2/L3 protocols of VLAN/DHCP/LACP/IGMP/PPPoE.
• Should be familiar with device configuration protocols of CLI/NETCONF/SNMP.
• Experience in telecom technologies like DSLAM/GPON/G.fast/Next gen broadband technologies is highly recommended
• Knowledge on regression/performance/load/scale/stability test areas
• Hands on experience with Common industry equipment like Spirent test center/ixia/Abacus/Shenick(TeraVM)/N2X Traffic generators.
• Exposure to debug tools such as Wireshark/tcpdump.

Job Requirements:

• Knowledge on software Test cycle, test plan and test case creation
• Understanding of End to end test setup topology and debugging.
• Ability to perform System level Functional and Non-functional tests.
• Familiar with Manual test life cycle
• Designing and writing test automation scripts using automation frameworks
• Exposure to CI/CD pipe line implementation and maintenance using Jenkins, Groovy scripting
• Linux skills (system configuration and administration, containers, networking experience and d) such as sockets and database management
• Good debugging skills and knowledge on various debug tools
• Bug reporting/tracking and providing logs.