B2B/Saas Writer

Nature of project – Product development.

Key skills: Java full stack developer with React Js experience.

Key Responsibilities

• Advance the state of the art in building Microservices with Java and frontend applications with React JS.
• Design and Develop Cloud based, web applications for SMBs
• Design and develop the front end for customer-facing applications using MVC framework
• Design and develop supporting components and Microservices for the backend tiers focusing on fault-tolerance and scalability in a multi-tenant B2B2C environment
• Team with top-notch engineers, product managers, Dev Ops and QA following agile development methodologies
• Review functional requirements, providing technical feedback on feasibility and architectural approach and framework.
• Develop technical specifications
• Contribute to test plan development.
• Create Prototype and/or Proof of Concepts (POCs) when necessary
• Act in a technical leadership capacity: Mentor junior engineers and new team members, perform code reviews and apply technical expertise to challenging programming and design problems
• Manage and maintain Cloud infrastructure
• Maintain and improve the functionality and performance of the existing web applications; refactor legacy codebase
• Help shape and execute the technical roadmap to develop next generation features; integrate corporate- and product-level architecture principles and goals into the teams project work through designs, implementation strategies, and project planning.
• Drive a culture of quality, technical curiosity, continuous improvement, and evidence-based data driven decision making in the organization.
• Lead team in software development best practices including Peer Code Review, Unit testing, Automated Deployments, and Automated Testing.
• Write technical documentation

Primary 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

Role Description

This is a full-time on-site role for a Business Operations Associate at DBaaS Software Private Limited in Chennai. The Business Operations Coordinator will be responsible for day-to-day operations, providing analytical support, assisting with administrative tasks, and delivering excellent customer service.

Qualifications

Strong business operations and analytical skills

Experience in providing administrative assistance

Excellent communication skills

Customer service-oriented mindset

Ability to work collaboratively in a team environment

Attention to detail and problem-solving abilities

Proficiency in Microsoft Office Suite

Experience in the software development or digital marketing industry is a plus

Bachelor's degree in Business Administration or related field

Develop a strategy to identify and evaluate tender opportunities aligned with the company's objectives and capabilities

Coordinate with various departments to gather the necessary information and documentation for the submission of tenders

Develop and submit compelling tender responses, ensuring that deadlines and project requirements are met

Communicate with clients and respond to queries during the tendering process

Analyze the tender results and provide feedback to the management for continuous improvement

Maintain close contact with project managers to ensure smooth project initiation, execution, and closure

Contribute to the definition of the scope, objectives, and deliverables of the project

Monitor the progress of the project and provide management and stakeholders with updates

Identification and mitigation of project risks and issues, and escalation thereof as necessary

Review and negotiate contract terms and conditions to ensure alignment with company goals and policies

Monitor contract performance and ensure contractual compliance

Responsible for amending, extending, and renewing contracts

Maintain accurate and up-to-date records of all contracts and related documents.

Process Improvement:

Analyze existing business processes related to tenders and projects, identifying areas for improvement

Enhance process efficiency, productivity, and quality through the development and implementation of process enhancements

Establish and maintain standard operating procedures (SOPs) for the management of tenders and projects

Job Description

[Job Overview]:

● Perform role of MDG senior functional consultant SAP S/4 Hana ABAP skills will

also be good

● [Primary Skills]: SAP MDG domain in scope - Business Partner and Material

Expertise in any std master data domains like material, Business partner

Customer & supplier.

● Functional configuration of MDG like change request, BRF+ workflow

development, data model enhancements, MDGFPM config, etc Support domain

data replication process.

● Facilitate MDG data load and distribution. Understanding of the impact of the

enterprise on decisions made in MDG.

● Minimum 2 full lifecycle implementations in on Business partner Customer and

supplier and Material master domain.

● Hands-on experience in extending the data models, custom entities, and

attributes.

● Good to have knowledge of earlier versions of MDG and S/4 HANA Responsible

to interact with Business and to gather business requirements and accumulate

information.

● Good analytical skills, strong interpersonal and communication skills.

[Good to have Skills]:

JLPT N3 or N2 certified SAP S/4 Hana ABAP skills or debugging skills

[Responsibilities and Duties]:

● Actively engage with the client team by participating in the business process

discussions, understand the current processes, pain points and new

requirements to design an effective solution in S/4HANA.

● Lead the functional / technical consultants in ensuring successful delivery of the

SAP Solution and ensure deliverables for MDG are successfully handed over for

the closure of the project.

● Identify and escalate issues and risks within project structure as soon as

discovered and not just when the delivery is due

● Prepare Key user & End user training and workshop materials and conduct the

meetings Ensure documentation of all key project deliverables and execute

smooth transition plan to the Application maintenance team

● Support Effort Estimation, Solution Standardizing, conduct Training, Mentoring

and Coaching junior team members Strong client facing experience, Analytical

mind-set with a strong eagerness to learn and able to translate requirements into

designs and code / configuration

● Demonstrates excellent communication skills, both oral and written Open to work

in shifts and flexible to support during weekends / holidays in case of urgency

Minimum 2 years of working experience.

Can work on live projects of international clients.

Can handle multiple projects

Error-free coding.

Required Experience, Skills and Qualifications

Objective-C, or increasingly, the Swift 3.0 programming language

Apples Xcode IDE

Frameworks and APIs like Foundation, UIKit, and CocoaTouch

UI and UX design experience

Apple Human Interface Guidelines

2D and 3D graphics frameworks like SpriteKit and SceneKit

OpenGL or Metal, iOS graphics APIs

Familiarity with iOS 10 and newer OS versions

A Git code repository technology

Strong Objective-C skills and inside-and-out knowledge of the iOS SDK.

Experience using and creating scalable web-based Restful APIs.

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.