Sales Executive

WE ARE HIRING: SUPERVISOR – PRODUCTION

Location: Noida

Employment Type: Full-Time

Department: Production

Qualification: Diploma / B.E. – Plastic / Mechanical

Experience: 5–8 Years

Shift: 12 Hours

Role Overview

We are looking for experienced Production Supervisors to manage shift-level production operations, manpower deployment, machine utilization, and daily production targets.

Key Responsibilities

Manage shift-wise production operations and achieve daily/weekly production targets.

Plan and optimize manpower allocation across production lines.

Monitor machine utilization and minimize downtime.

Ensure in-process quality compliance.

Coordinate with Maintenance, Quality and other support functions.

Monitor shop-floor activities and resolve production issues.

Prepare shift production and handover reports.

Ensure adherence to safety and production procedures.

Preferred Industry and Product Experience

Candidates should have experience in engineering or plastic products, preferably in:

Plastic Caps and Closures

Pharma Packaging and Pharma Products

Lubricant and Oil Caps

Remote Controls and Electronic Housings

Power Banks

Soundbars

Injection Moulded and Engineering Plastic Components

Candidate Profile

5–8 years of relevant production experience.

Diploma / B.E. in Plastic or Mechanical Engineering.

Strong experience in shop-floor and shift production management.

Hands-on experience in manpower handling and machine utilization.

Good coordination with Quality and Maintenance teams.

Comfortable working in 12-hour shifts.

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!

Job Title: QA Engineer – Integration Platforms

Experience: 5+ years

Employment Type: Full Time, Permanent

Department: Engineering – QA & QE

Role Category: Quality Engineering, Assurance and Testing

What’s in it for You? 

At Technoidentity, we are seeking a detail-oriented and experienced QA Engineer who is strong in both manual testing and automation, with a keen understanding of system integrations. This role demands a quality-first mindset and practical exposure to validating end-to-end integration scenarios across multiple platforms and services.

You will collaborate with cross-functional teams including product, engineering, and DevOps, and play a key role in ensuring seamless system interoperability through robust testing processes.

What Will You Be Doing? 

• Own and execute manual and automated testing for new features, regression cycles, and integration workflows.
• Design and maintain test cases, test plans, and perform exploratory testing for complex, cross-service integrations.
• Validate API-level and user-facing functionality, ensuring complete coverage for end-to-end business scenarios.
• Document and track defects with clear steps and business impact.
• Work with automation engineers to include relevant manual test cases in automation suites.
• Build and maintain automation scripts using frameworks like Cypress, Playwright, or similar.
• Ensure seamless integration of test cases into CI/CD pipelines.
• Participate in design discussions and proactively advocate for quality at all stages of the SDLC.

What Makes You the Perfect Fit? 

• 5+ years of experience in Software QA with a strong emphasis on both manual and automated testing.
• Proven expertise in testing integrated systems, especially across platforms like Mulesoft, Tray.io, Oracle Integration Cloud (OIC), Dell Boomi, Salesforce, etc.
• Hands-on automation experience with integration-focused test scripts and tools.
• Solid understanding of API testing, cross-service workflows, and validation techniques.
• Familiarity with at least one scripting/programming language: JavaScript, Python, Java, etc.
• Experience with test management tools such as TestRail, Zephyr, or XRAY.
• Practical experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Git) and version control systems.
• Excellent problem-solving skills and attention to detail, especially in edge-case discovery and impact analysis.
• Strong communication and interpersonal skills to work across agile, fast-paced teams.

Nice to Have

• Proficiency in tools like Postman, REST Assured for API testing.
• Working knowledge of SQL for backend validations.
• Exposure to agile methodologies and tools like JIRA, Confluence, etc.
• Experience working in containerized environments (Docker, Kubernetes).

Education

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Role Overview 

As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact. 

Key Responsibilities 

Data Science & Machine Learning 

• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.  
• Perform exploratory data analysis (EDA), feature engineering, and data preparation.  
• Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.  
• Apply statistical techniques to solve business problems and validate model performance.  
• Design and execute experiments to improve model accuracy and business outcomes.  

 AI Solution Development 

• Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.  
• Translate business requirements into scalable data science approaches.  
• Contribute to Generative AI and advanced analytics initiatives where applicable.  
• Document methodologies, model performance, and key findings.  

 Required Technical Skills 

• Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.  
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.  
• Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.  
• Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.  
• Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.  
• Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.  
• Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.  
• Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.  
• Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred. 

Preferred Qualifications 

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.  
• 2–4 years of experience developing machine learning or data science solutions.  
• Experience working on end-to-end data science projects in a business environment.  

 Nice to Have 

• Exposure to Generative AI, LLMs, RAG, or Agentic AI.  
• Experience with Computer Vision or Natural Language Processing (NLP).  
• Familiarity with cloud-based AI platforms.  
• Knowledge of construction, engineering, manufacturing, or industrial domains.  
• Participation in hackathons, research, Kaggle competitions, or open-source projects.  

 Soft Skills 

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.

Job Location: Sewri, Mumbai, Maharashtra

Required experience:

• Minimum 2 year of experience in Web & Backend Development using Python

Overview

We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

KRAs includes:

1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to

provide optimal deliveries on time

1. Writing Scalable, maintainable code
2. Building secured REST APIs
3. Setting up batch task processing environments using Celery
4. Unit testing prepared modules
5. Bug fixing issues as reported by the QA team
6. Optimization and performance tuning of code

Role & responsibilities

1. Develop and maintain native Android applications using Kotlin and Java.

2. Familiarity with RESTful APIs to connect Android applications to back-end services

3. Work with APIs, third-party libraries and Familiarity with MVC, MVVM.

4. Proficient in code versioning tools including GitHub and Gitlab.

5. Familiarity with push notifications,and cloud messaging.

6. Identifying potential problems and resolving application bugs.

7. Fixing application bugs before the final release.

8. Publishing application on Play Store.

9. Maintain code quality and Ensure the performance, quality, and responsiveness of applications.

10. Collaborate with cross-functional teams for seamless integration.

11. Stay up to date with the latest industry trends and technologies.

Preferred candidate profile

• Minimum 3+ Years of Android Developer Experience or Created an App Before.
• Strong knowledge of Kotlin and Java.
• Experience with Jetpack Compose, Android Jetpack Components, Room, and Coroutines.
• Experience with UI/UX Designing, RESTful APIs and third-party libraries.
• Understanding of agile development methodologies.
• Strong problem-solving and debugging skills.
• Excellent communication and teamwork abilities.
• Knowledge of Firebase Integration is an added advantage.
• Previous experience in fintech industry considered as plus point.

Perks and benefits

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Egregore Labs (www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity

Responsibilities:

• Implement responsive and performant UIs with a user-centered approach with frontend technologies including Angular 2, Javascript(ES 6), Typescript, SCSS, etc
• Build backend REST APIs on Python 3 based server frameworks for deployment and scaling of our product(s)
• Write meaningful test cases for frontend & backend platforms

• Integrate our products with 3rd party products/tools/services

• Develop Infrastructure for delivering services using a performance-driven approach, build databases, schedule automated jobs, etc

Ideal Background / Experience

• At least 24 months of diverse experience in web development for product or services-oriented environment with exposure to working production deployments
• Expertise in programming using Python/Javascript or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

Nice to have exposure to any of

• AWS
• Azure
• ELK
• Object Relational Models (SQLAlchemy, etc)
• Google APIs
• Microservices Architecture Pattern
• NodeJS / ExpressJS

Work from Home, office in Noida

Experience: 2yrs plus