With the growing demand for a healthier lifestyle, our client has chosen pasta as their USP to showcase their versatility in terms of offering a variety of tastes and types but in a healthier way.
They manufacture and sell various types of pasta with benefits such as containing plant-based protein, free of soy, gluten and artificial colours, 100% vegan etc. and their products are Kosher certified. Their website also provides varieties of guilt-free pasta recipes which will help parents un-junk their kids’ food choices.
Founded by a team of three veteran entrepreneurs, our client is headquartered in Mumbai. They have raised a total of $1.3M in funding over 2 rounds.
As a R&D QA/QC Manager, you will be responsible for “New Product Development” from scratch to finish – right from category mapping to understanding the gaps in the market, need of consumers, taste preferences, label reading, liaising and finalizing 3rd party manufacturers, QA/QC at 3rd party manufacturer warehouse, and monitoring parameters as per FSSAI and other related laws.
What you will do:
- Applying scientific and engineering principles in R&D, market research, recipe optimization, regulatory, production technology (pilot & plant), packaging and processing
- Conducting shelf life studies on new products, flavour, texture and color measurement, rheological and physiochemical property evaluation, nutritional composition analyses and microbiological safety
- Being responsible for food sensory evaluations for new/ existing product items and regulatory approvals
- Developing and creating specification sheets for all new products, label reviews and health claims
- Evaluating and recommending alternate ingredients used in existing products
- Being responsible for setting up lab setup & large commercial production process facility for various food products
- QA/QC check of all finished products post dispatch and pre inward at 3rd party manufacturer – will involve extensive travelling
Desired Candidate Profile
What you need to have:- M.Sc. In Food Technology or B.Tech in Food Technology with atleast 5 yrs of experience in R&D and developing various food products in categories – malted drinks, pasta, sauces, instant noodles, flours experience an added advantage
- Experience in scaling up from R&D scale to large commercial production facility
- Ability to identify issues in the existing system and processes and coming up with innovative solutions
- Curiosity with heavy focus on details
- Ability to understand customer concerns with high empathy, and get to resolution with a win-win situation for both the customer and the company
- Ability to build long term relationships with potential customers
- Entrepreneurial ownership
Shubham Vishwakarma
Full Stack Developer - Averlon
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Company Description
KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.
Role Description
This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.
Qualifications
Strong knowledge in Computer Science and Engineering subjects
Experience in teaching at the undergraduate and graduate levels
Research skills and the ability to guide student projects
Excellent written and verbal communication skills
Proficiency in curriculum development and academic assessment
Master's degree in Computer Science, Engineering, or a related field
Experience in the use of digital tools and teaching technologies is an advantage
Commitment to continuous improvement and professional development
Should have knowledge in supplements and protein. A Retail Sales Associate assists customers by providing product information, processing transactions, and ensuring a positive shopping experience. They are responsible for maintaining a clean and organized sales floor, restocking shelves, and assisting with inventory. Additionally, they may handle customer inquiries, process returns, and promote sales through engagement.
Java
Spring Boot
Amazon Web Services (AWS)- 3+ years of experience in the Development in JAVA technology.
- AWS or cloud Experience
- Strong Java Basics
- SpringBoot or Spring MVC
- Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
- Proficient in REST API development
- Messaging Queue (RabitMQ or Kafka)
- Microservices
- Any Caching Mechanism
- Good at problem-solving
Good to Have Skills:
- 3+ years of experience in using Java/J2EE tech stacks
- Good understanding of data structures and algorithms.
- Excellent analytical and problem solving skills.
- Ability to work in a fast paced internet start-up environment.
- Experience in technical mentorship/coaching is highly desirable.
- Understanding of AI/ML algorithms is a plus.
Google Analytics Develops digital marketing strategies by studying economic indicators,
tracking changes in supply and demand, identifying customers and their
current and future needs, and monitoring competition.
Plans and executes all web, SEO/SEM, database marketing, email, social
media, and display advertising campaigns.
Designs, builds, and maintains our social media presence.
Contributes to marketing effectiveness by identifying short-term and long-
range issues that must be addressed.
AngularJS (1.x)
Angular (2+)
React.js
NodeJS (Node.js)Amazon Web Services (AWS)We are now looking for,
Senior SW Developer – IoT Platform Development
to join the team of experts at the KONE Services & Solutions R&D. You will work together with other professionals to develop advanced KONE digital solutions that leverage the latest in cloud and connectivity technologies.
You are a cloud development expert who is passionate about designing and implementing solutions for our connectivity solutions. You are familiar with the software development patterns and can turn the architectural plans to concrete SW designs. You understand and appreciate the modern SW development practices. You work at your best when you are working with people, and you enjoy helping others.
You will work in a key role inside our Agile SW development team. Your closest colleagues will be other developers, test professionals and the PO of the team. You will be part of KONE Technology and Innovation unit’s IoT Tribe.
Main responsibilities include,
- Producing more efficient software designs for new features in our IoT platform tribe
- Developing clean and efficient code based on the specifications.
- Unit and Integration Testing for the developed code and integrate with code coverage tools.
- Verify and deploy programs and systems
- Recommend and execute improvement for the existing offerings from the IoT platform.
- Create technical documentation for reference and reporting.
- Participating in knowledge sharing and demos
To be successful in this role,
- Having a degree in Computer Science or equivalent with minimum 5+ years of relevant working experience.
- More than 3 years proven experience in developing high volume scalable cloud solutions utilizing platforms like Amazon AWS with IoT domain.
- Having hands on development experience with Java, Node JS and TypeScript.
- Experience working with MVC, WEB API, RESTful services with IoT domain
- Team player with capabilities to take the lead and develop own competencies around the core knowledge is a must.
- Understanding of React JS is an added advantage.
- Strong experience with Serverless Cloud Compute Services with AWS or Azure
- Experience in working with AWS platform and its core services like Lambda, CloudWatch, CloudFormation, CDK, SQS, S3 etc., or its equivalent Azure services
- Understanding of Serverless design, network security, cloud design patterns, high availability and secure systems.
- Hands on experience with both SQL and No-SQL databases.
- Experience on DevOps ways of working with good understanding on CI/CD
Jenkins
Docker
Kubernetes- 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
- At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
- At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
- Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
- Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
- Strong know-how on VA/PT integration in CI/CD pipeline.
- Experience in handling financial solutions & customer-facing applications
Roles
- Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
- Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
- Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
- Maximize automation and enhance DevSecOps pipelines and other tasks
- Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
- Operate and support a suite of enterprise DevSecOps services
- Implement security automation to decrease the loop between the development and deployment processes.
- Support project teams to adopt & integrate the DevSecOps environment
- Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
- Coordinate with development and operations teams for practical automation solutions and custom flows.
- Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
- Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
- Build workflows to ensure a successful DevSecOps journey for various enterprise applications.
- Understand the strategic direction to reach business goals across multiple projects & teams
- Collaborate with development teams to understand project deliverables and promote DevSecOps culture
- Formulate & deploy cloud automation strategies and tools
Skills
- Knowledge of the DevSecOps culture and principles.
- An understanding of cloud technologies & components
- A flair for programming languages such as Shell, Python, Java Scripts,
- Strong teamwork and communication skills.
- Knowledge of threat modeling and risk assessment techniques.
- Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
- An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
- Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
- On the job learning for new programming languages, automation tools, deployment architectures
Data Science
Machine Learning (ML)
PythonResponsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
- Full cycle of building machine learning solutions,
o Understanding of wide range of algorithms and their corresponding problems to solve
o Data preparation and analysis
o Model training and validation
o Model application to the problem
- Experience using the full open source programming tools and utilities
- Experience in working in end-to-end data science project implementation.
- 2+ years of experience with development and deployment of Machine Learning applications
- 2+ years of experience with NLP approaches in a production setting
- Experience in building models using bagging and boosting algorithms
- Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
- Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
- Strong python skills following software engineering best practices
- Experience in using code versioning tools like GIT, bit bucket
- Experience in working in Agile projects
- Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
- Experience managing big data with efficient query program good to have
- Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
- Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
- Experience with Health care sector is preferred
- MS/M.Tech or PhD is a plus
Role : SAP ABAP Lead Consultant
Experience : 10+Years
Location : Hyderabad
Project Duration : 2+Years
Secondary Skills : SAP ABAP-HR, FIORI, WEBdynpro
NodeJS (Node.js)Java
C++Facilitation and Business Analysis skills.
Estimation and Project Planning skills for enterprise level applications.
Excellent communication and technical leadership skills.
C#
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Full Stack Developer - Averlon