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Hiring for Lead Auditor (QMS / ISMS) role.

Job description Below :

• Preparation Dept. Objective reports.
• Preparation of Internal Audit Schedule & Coordination /opening meeting and closing meeting.
• Follow up for Internal Audit closing of Observations.
• Preparation of Management review meeting Input & Output reports.
• Coordination Certification Audit and Surveillance (TUV-SUD) Audit for ISO 9001:2015 and ISO 27001:2013.
• Follow up for closing of Observations.
• To update QMS & ISMS Manual, Procedures, Policies, Risk Assessment Plan, SOA & Formats.
• Internal Audit of ISO - QMS & ISMS standards.

Job Summary:

We are seeking a detail-oriented and articulate Technical Writer to create high-quality documentation that simplifies complex technical information for a wide range of audiences. You will collaborate with developers, engineers, and product managers to produce user manuals, API documentation, online help guides, and training materials.

Key Responsibilities:

• Develop and maintain user manuals, installation guides, API documentation, and FAQs.
• Collaborate with subject matter experts (SMEs) to gather technical information.
• Translate complex concepts into clear, concise, and user-friendly content.
• Create diagrams, flowcharts, and visuals to support documentation.
• Review and edit content created by other team members for clarity and consistency.
• Maintain documentation repositories and version control using tools like Git or Confluence.
• Ensure documentation complies with company standards and style guides.

Required Skills & Qualifications:

• Proven experience in technical writing, preferably in software or IT domains.
• Excellent written and verbal communication skills.
• Ability to grasp complex technical concepts quickly.
• Familiarity with documentation tools such as MadCap Flare, RoboHelp, or Markdown editors.
• Basic understanding of software development life cycle (SDLC).
• Bachelor’s degree in English, Technical Communication, Computer Science, or a related field.

Preferred Qualifications:

• Experience with Agile methodologies.
• Knowledge of HTML, CSS, or scripting languages.
• Exposure to API documentation tools like Swagger or Postman.

Requirements:

• Retrieve Data from Databases

SSRS developers optimize SQL server queries to retrieve data efficiently and quickly. As

teams submit requests for different ways of doing things, SSRS developers work with them to find solutions that meet their needs.

• Design Data Solutions

To create and design best-practice data warehouse solutions that support business reporting tasks. This is achieved using different programs and software, such as Microsoft Excel, MS SQL Server, and Tableau.

• Create and Maintain Reporting Processes

To maintain a record of the different reporting processes in place. Evolve ways & means for a more effective data management.

• Resolve IT and Data Issues
• Provide Delivery Plans and Estimates for Projects

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.

Category Manager should have worked in a Marketing role in the E-Commerce domain or Digital Services (Docter consultation platform).

Owning End to End for a category.

Assisting in Getting a brand on Board.

Taking care of Brand Representation on the platform mainly through Content.

Analyzing data to understand the performance of the Category and mapping it with respect to competitors.

Work with the sourcing team to make sure the important SKUs are always in stock.

Work with Brands to get the latest products/offers on our platform

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

We are looking for a full stack developer to produce scalable software solutions.

As a full stack developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities:

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Requirements:

• Degree in Computer Science or related field
• Strong organizational and project management skills.
• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React and Amber.
• Proficiency with server side languages such as Python, Ruby, Java, PHP and .Net.
• Familiarity with database technology such as MySQL, Oracle and MongoDB.
• Excellent verbal communication skills.
• Good problem solving skills.
• Attention to detail.

Reporting directly to the Founder

The job requires a great deal of responsibility early on, but we're working on something exciting and there's lots of opportunity of growth and learning.

The job is full-time, remotely based, and with flexible hours.