ERP Functional Consultant

Role : Data Science Intern Teaching Assistant

Location: HSR Bangalore, WFO | 5.5 Days

Duration 3 Months

Stipend: 12000

Pre-Placement Offer (PPO) based on performance.

About the Role

We are seeking a motivated and knowledgeable Data Science Intern Teaching Assistant to support our academic team in delivering high-quality learning experiences. This role is ideal for someone who enjoys teaching, solving problems, and wants to gain hands-on experience in the EdTech and Data Science domain.

As a Teaching Assistant, you'll help learners understand complex data science topics, resolve doubts, assist during live classes, and contribute to high-quality content development.

Key Responsibilities

 Assist instructors during live classes by providing support and addressing learners queries.

 Conduct doubt-solving sessions to help learners grasp difficult concepts in Data Science, Python, Machine Learning, and related topics.

 Contribute to content creation and review, including assignments, quizzes, and learning materials.

 Provide one-on-one academic support and mentoring to learners when needed.

 Ensure a positive and engaging learning environment during sessions.

Requirements

 Bachelor's in Data Science, CSE, Statistics, or a related field

 Strong foundation in Python, Statistics, Machine Learning, and Data Analysis.

 Excellent communication and interpersonal skills.

 Ability to break down technical concepts into simple explanations.

 Prior experience in teaching, mentoring, or assisting is a plus.

 Passionate about education and helping others learn.

Perks

 Hands-on teaching and mentoring experience.

 Exposure to real-time learners interaction and feedback.

 Mentorship from senior instructors and data science professionals.

 Opportunity to receive a Pre-Placement Offer (PPO) based on performance.

Job Title: AI Solutioning Architect – Healthcare IT

Role Summary:

The AI Solutioning Architect leads the design and implementation of AI-driven solutions across the organization, ensuring alignment with business goals and healthcare IT standards. This role defines the AI/ML architecture, guides technical execution, and fosters innovation using platforms like Google Cloud (GCP).

Key Responsibilities:

• Architect scalable AI solutions from data ingestion to deployment.
• Align AI initiatives with business objectives and regulatory requirements (HIPAA).
• Collaborate with cross-functional teams to deliver AI projects.
• Lead POCs, evaluate AI tools/platforms, and promote GCP adoption.
• Mentor technical teams and ensure best practices in MLOps.
• Communicate complex concepts to diverse stakeholders.

Qualifications:

• Bachelor’s/Master’s in Computer Science or related field.
• 12+ years in software development/architecture with strong AI/ML focus.
• Experience in healthcare IT and compliance (HIPAA).
• Proficient in Python/Java and ML frameworks (TensorFlow, PyTorch).
• Hands-on with GCP (preferred) or other cloud platforms.
• Strong leadership, problem-solving, and communication skills.

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

Key Responsibilities/Duties:

· Develops and enhances software applications through coding and testing.

· Writing well designed, testable, efficient code

· Involves in code reviews and training.

· Contributing in all phases of the development lifecycle

· Delivers highest quality software by creating unit test plans and testing code thoroughly.

· Adept with the tools, applications, and processes used for software development.

· Implements solutions as designed in technical documentation specification and coding standards.

· Creates project documentations and coordinates technical issues.

· Knows the business rules and concepts, software specifications and designs provided by the technical lead and apply them in completing the assigned task.

Qualification: Bachelors or Master’s degree in Computer Science or Engineering.

About the Role

The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.

The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO.  This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.

Job Description

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
• Strong experience at working on databases and good at analytical reasoning
• Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
• Must be involved in reconciliation of data sets and components across verticals depending on the need
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with the management to prioritize business and information needs
• Locate and define new process improvement opportunities

Required Skills:

• Proven working experience as a data analyst or business data analyst
• Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
• https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

About NetElixir: 

NetElixir is a global digital marketing firm headquartered in Princeton, NJ. With a common goal of helping our customers and challenging ourselves to think differently, we face challenges and tackle them together as a team. We are a close-knit group of imaginative and friendly industry experts who bring our unique passions and personalities together to find creative solutions that drive results.

With offices in the US and India, NetElixir works persistently gathering, evaluating, computing, and formulating raw data and turning it into actionable insights for our customers. We work consistently to develop new technology that will improve and facilitate digital marketing efforts across the globe.

Role: React JS

Experience: 2 -5 Years

Company Website: http://www.netelixir.com/">www.netelixir.com 

Job Description:

To be part of Netelixir's Engineering Development Team in Digital Marketing, Consumer Insights, Analytics and Ecommerce Domains which caters to about 100 Ecommerce clients in USA & European Geographies

• Should have implemented at least 2-3 projects using React Interface (ReactJS, React Native).
• Experience with standard libraries for routing, state managers like Redux, knowledge of ES6 and Lodash.
• Familiarity with one of the design systems such as Material UI.
• Strong hands on exposure to convert visual designs to React based web interfaces
• Integration of the React with backend services.
• Exposure to building and integration of web interface with the backend service APIs implemented on Restful, SOAP etc.
• Proficiency in one or more of Java, Tomcat, MySql, MongoDB, Python, Angular, Bootstrap, JQuery, JS Frameworks, JSP, HTML5 CSS Frameworks will be added advantage. 

Backend Developer

• NET Core /MVC
• Web API Framework
• Windows Azure PaaS

Are you looking to make a real difference in Zibew’s Mission to empower pharmacy chains, hospitals, and healthcare institutions with innovative software that significantly improves patient experience? Do you want to work on cutting edge cloud technologies and build highly scalable software?

Zibew, a Singapore based Start-up, with Engineering headquarters in Hyderabad, India is looking for talented individuals to contribute to the next generation of our products, which incorporate features such as Artificial Intelligence and Natural Language Processing. Zibew has a customer base in ASEAN countries and now looking to onboard customers in the AMERICAS region. We are a fun team that likes to get things done (we ship as frequently as every week!), where engineers are empowered to innovate. If you are an engineer who has a keen eye for scale, performance, and reliability, this is a great opportunity for you.

• As a Backend Developer, you would be working on building the core platform of our products such as the Online Pharmacy Platform.
• As a Backend Developer, you would be required to develop highly scalable Web APIs for our Mobile Apps
• As a Backend Developer, you would be working on integrations with third-party systems such as Payment Gateways, CRM Systems, and ERP Systems.
• As a Backend Developer, you would be working alongside our Data Sciences Team and Product Managers to build cutting edge Artificial Intelligence-based systems for healthcare

• Minimum of 2 years of experience in C# Programming
• Should have experience in ASP.NET Core and Web APIs
• Must have proven positive attitude towards taking challenges
• Experience in AI technologies such as TensorFlow, Deep Learning is preferred but not mandatory.
• Must have proven the ability to learn fast and deliver results under pressure.

• At Zibew, we hate micromanagement or any sort of constant interference. We have an open-door policy.
• We empower employees to take technical decisions. We understand sometimes innovation can fail but we back the employees to try and innovate.
• We follow flexible timings.
• We love individuals who ask questions and constantly pushing for more innovation.
• We don’t have people managers. We do have technical leads for each stream.
• We obsess about quality and user-experience and respect those individuals who pay at most attention to quality and user experience.