CRM Developer

The Quality Assurance Engineer is responsible for implementing and maintaining quality control processes to ensure that our products meet regulatory requirements and Environmental norms. We should work closely with cross-functional teams to identify quality issues, implement corrective actions, and continuously improve product quality and reliability.

• Quality Control Processes: Develop and implement quality control processes and procedures for manufacturing environmental products. Define quality metrics and standards to ensure compliance with regulatory requirements and customer specifications.

• Product Testing and Validation: Design and execute comprehensive testing protocols to validate the performance, reliability, and safety of composting machines, incinerators, and other environmental equipment.

• Regulatory Compliance: Ensure that environmental products comply with relevant regulatory standards and certifications, such as EPA regulations, ISO standards, and industry-specific requirements. Stay updated on changes in regulations and ensure product designs and manufacturing processes remain compliant.

• Root Cause Analysis: Investigate quality issues and customer complaints to identify root causes and implement corrective and preventive actions. Use problem-solving techniques such as root cause analysis, failure mode and effects analysis (FMEA), and 5 Whys to address quality issues and improve product reliability.

• Documentation and Reporting: Maintain accurate records of quality control activities, test results, and corrective actions taken. Prepare quality reports and metrics to track product quality, defects, and non-conformances. Communicate quality-related information to stakeholders, including management, engineering teams, and production staff.

• Training and Development: Provide training and support to production staff on quality control processes, procedures, and best practices. Promote a culture of quality and accountability throughout the organization by fostering a commitment to excellence and continuous improvement.

• Continuous Improvement: Drive continuous improvement initiatives to enhance product quality, manufacturing processes, and quality control procedures. Implement lean manufacturing principles and quality management methodologies to optimize efficiency and minimize waste.

Qualifications and experiences:

• Bachelor’s degree in engineering, preferably Mechanical/Electrical/Quality assurance/Quality management.

• Strong understanding of quality management principles particularly in manufacturing.

• Familiarity with relevant regulatory standards applicable to environmental products ISO 9001/14001/OSHAS etc.

• Proficiency in data analysis and problem-solving techniques to identify root causes of quality issues, implement corrective action.

• Strong attention to detail and accuracy in performing quality control tasks, documenting test results, and ensuring compliance with quality standards.

• Experience with Quality Management Systems, Familiarity with quality management systems (QMS) and quality control processes,

Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

Able to craft effective data pipelines to transform your analyses from offline to production systems·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·       

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

Lead discussions at peer review and use interpersonal skills to positively influence decision making·       

Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·       

Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 

Desired Qualifications ·      

Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·       

Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

Experience implementing MLOPs framework along with understanding of data security·       

Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

Strong SaaS Customer Success Manager / Account Management profile

Mandatory (Experience): Must have 2+ years of experience as a CSM/Account Management in a SaaS-based product company or survey platform companies

Mandatory (Skill 1): Must have experience driving product/platform adoption among clients

Mandatory (Skill 2): Must have experience in upselling and cross-selling SaaS solutions, handling commercial discussions, and managing account growth

Mandatory (Skill 3): Must have strong strategic thinking and excellent communication skills

Mandatory (Company): B2B SaaS product companies or Survey platforms

Mandatory (Note): This is a hybrid role with one position based in Mumbai and another position in Gurgaon

Company Description

AdElement is a leading digital advertising technology company that has been helping app publishers increase their ad revenue and reach untapped demand since 2011. With our expertise in connecting brands to app audiences on evolving screens, such as VR headsets and vehicle consoles, we enable our clients to be first to market. We have been recognized as the Google Agency of the Year and have offices globally, with our headquarters located in New Brunswick, New Jersey.

Job Description

Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performant, real-time applications.

Own building features, driving directly with product and other engineering teams.

Demonstrate excellent communication skills in working with technical and non-technical audiences.

Be an evangelist for best practices across all functions - developers, QA, and infrastructure/ops.

Be an evangelist for platform innovation and reuse.

Requirements:

2+ years of experience building large-scale and low-latency distributed systems.

Command of Java or C++.

Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming.

Experience with distributed caching, SQL/NO SQL, and other databases is a plus.

Experience with Big Data and cloud services such as AWS/GCP is a plus.

Experience in the advertising domain is a big plus.

B. S. or M. S. degree in Computer Science, Engineering, or equivalent.

Location: Pune, Maharashtra.

AI-Native Full-Stack Engineer

Location: Pune, India (Onsite)

Experience: 2–5 years

Team: Engineering

If you're a fast-moving full-stack engineer with sharp problem-solving skills, deep web dev know-how, and a passion for using AI to ship smarter and faster — you might’ve just found your dream role.

About FlytBase

At FlytBase, we’re not just creating a product — we’re on a zero-to-one journey, building a whole new global category that’s never existed before.

We’re on a mission to unlock the world’s third dimension with fully autonomous drones. That means solving problems from first principles, embracing bold experimentation, and pushing the boundaries of what’s possible.

If you’re bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place.

Don’t believe it? Challenge us — we’d love to show you why we’re so confident in what we’re building.

What You’ll Do

• Build from zero- Turn raw ideas into high-impact features — fast.
• Engineer with AI- Use AI to prototype, ship, debug, and iterate at blinding speed.
• Move across the stack- Work fluidly across UI, APIs, backend, services, and deployment.
• Think like a founder - You won’t be assigned tasks — you’ll own outcomes.

You’re a Great Fit If You...

• Are AI-native - You treat AI as a superpower, not a novelty.
• Ship relentlessly -You can out-ship most with one hand tied.
• Think problem-first - You pick tools for results — not popularity.
• Hate hand-holding - You own your sprints, your bugs, and your outcomes.
• Are built different - You don’t want a job. You want war. Legacy. Impact.

Our Stack

React? Rust? Firebase?

We don’t care what you’ve used — we care if you can:

• Learn fast
• Build faster
• Adapt even faster

You’ll use AI tools to go 5x faster than the average engineer — and still want to go faster.

Apply Now: https://lnk.ink/5uP0H

The candidate should have good communication skills. He/She should be able to communicate effectively with the client to generate the lead. The candidate will be given good incentives on generating business for the company.

• Having 2-4 yrs of experience
• Have good knowledge of front-end technologies, including HTML5, CSS3, JavaScript, j Query.
• Html to wordPress integration
• Must have Core PHP Knowledge
• Develop and maintain code for various PHP applications.
• Create unique designs.
• Develop website using wordPress
• Create new wordPress theme using various plugins
• User interfaces for websites and/or web applications.
• Good Communication Skills.

React Native Developer

We are looking for a talented and experienced React Native Developer to join our team. The ideal candidate will have a strong background in developing mobile applications with React Native.

Roles and Responsibilities:

• Develop and maintain high-quality mobile applications using React Native
• Collaborate with designers and other developers to create user-friendly and visually appealing interfaces.
• Write clean and maintainable code using TypeScript.
• Utilize Flexbox layout to create a responsive User Interface that works on different screen sizes.
• Use Realm to manage local data storage and synchronize data with remote servers.
• Integrate GraphQL to efficiently fetch and manage data in our applications.
• Participate in code reviews and contribute to our development processes
• Stay up-to-date with the latest trends and technologies in mobile development

Skills Required:

• 4 to 7 years of strong experience with React Native.
• Experience in TypeScript programming language.
• Experience in GraphQL will be an advantage.
• Familiarity with Realm or other local data storage solutions
• Knowledge of chatbot development using natural language processing and machine learning techniques
• Understanding of data analytics and experience with tools like Google Analytics, Firebase Analytics, or similar
• Prior experience in Start-ups would be an added advantage .
• Strong problem-solving and analytical skills with a focus on algorithms
• Experience working on POS and Kiosk projects, integrating payment gateways.
• Excellent collaboration and communication skills
• Bachelor's Degree in Computer Science.