Director of Product Design saas company only

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

form :https://forms.gle/ncGqEJrJDvEDhXtL7

AI Researcher, Speech & Audio, Intern -

Internship Opportunity at JoshTalks AI Lab

(ai.joshtalks.com)

Location: Gurgaon, India

Type: Full-time Internship (6–12 months)

Who: Final-year engineering students or recent graduates passionate about AI/ML

in speech

About Us

At JoshTalks AI Lab, we believe that voice will be the primary medium of interaction

between man and machine. Our mission is simple yet ambitious:

● Help machines talk like humans.

● Build the benchmarks and datasets that become the backbone of global

progress in speech AI.

● Drive improvements not just through compute or algorithms — but through

high-quality, diverse, real-world data.

Our datasets today power some of the largest and most widely used speech

models in the world (you’ve definitely used them, even if we can’t name them

😉).

What You’ll Work On

This is not a “just another internship.” You’ll be directly contributing to the global

race to perfect speech AI:

1. Benchmarking the world’s speech models

○ Design and run evaluations for ASR and speech-to-speech systems.

○ Create benchmarks that will guide top AI labs on where their models

fail and where they shine.

2. Modeling & Fine-Tuning

○ Fine-tune speech recognition systems (like Whisper/wav2vec2) to push

Word Error Rates toward ~5%.

○ Experiment with multilingual, code-switched, and noisy speech

to mimic real-world conditions.

3. Impact at Scale

○ Your work won’t just sit in a paper. It will influence how the

world’s largest AI models get built, tested, and improved.

Who We’re Looking For

● Final-year undergraduates (B.Tech/B.E.) in CSE, EE, AI/ML, or related fields.

● Strong interest in speech, audio, NLP, or multimodal AI.

● Hands-on experience in one or more of:

○ Fine-tuning speech or language models (Whisper, wav2vec2,

HuBERT, SER, etc.)

○ Building speech-driven projects (assistants, classifiers, chatbots,

SER systems)

○ Working with PyTorch, TensorFlow, or Hugging Face transformers.

● Bonus: past projects on GitHub, Kaggle, or research papers.

Why Join Us

● Ownership: Even as a final-year student, you’ll get the chance to own

problems of global importance — from reducing ASR word error rates toward

5% to building benchmarks that influence how the next generation of

speech-to-speech models are developed. These are not side projects:

the problems you’ll work on may define how billions of people interact

with machines in the future.

● Front-row seat in speech AI: Your work will shape benchmarks and datasets

used by the world’s top model labs.

● Learning: Work with experts solving speech challenges across 20+

Indian languages and noisy, real-world audio.

● Impactful projects: The benchmarks and models you help build will

set direction for global AI progress.

● Startup energy, global scale: Small team, big impact — perfect for ambitious

builders.

● Co-Authorship: If any of the work you contribute to is published as a paper,

benchmark report, or dataset release, you will be credited as a co-author.

This means your contributions won’t just stay inside the lab — they’ll be

visible to the wider research community and part of the academic and

industry record.

Details

● Location: Gurgaon (on-site preferred for collaboration)

● Duration: 6–12 months

● Type: Paid Internship (full-time)

● Start Date: Flexible for final-year students (aligns with academic calendar)

If you’re someone who dreams of making speech AI as natural as human

conversation, this is your chance to work on the real frontier. Super interested?

Responsibilities:

.Create exclusive distributors, exclusive super stockiest and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Finding and developing new markets and improving sales.

.Keep abreast with stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills.

.Excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

• Job Title:- Backend/DevOps Engineer
• Job Location:- Opp. Sola over bridge, Ahmedabad
• Education:- B.E./ B. Tech./ M.E./ M. Tech/ MCA
• Number of Vacancy:- 03
• 5 Days working
• Notice Period:- Can join less than a month
• Job Timing:- 10am to 7:30pm.

About the Role

Are you a server-side developer with a keen interest in reliable solutions?

Is Python your language?

Do you want a challenging role that goes beyond backend development and includes infrastructure and operations problems?

If you answered yes to all of the above, you should join our fast growing team!

We are looking for 3 experienced Backend/DevOps Engineers who will focus on backend development in Python and will be working on reliability, efficiency and scalability of our systems. As a member of our small team you will have a lot of independence and responsibilities. 

As Backend/DevOps Engineer you will...:-

• Design and maintain systems that are robust, flexible and preformat
• Be responsible for building complex and take high- scale systems
• Prototype new gameplay ideas and concepts
• Develop server tools for game features and live operations
• Be one of three backend engineers on our small and fast moving team
• Work alongside our C++, Android, and iOS developers
• Contribute to ideas and design for new features

To be successful in this role, we'd expect you to…:-

• Have 3+ years of experience in Python development
• Be familiar with common database access patterns
• Have experience with designing systems and monitoring metrics, looking at graphs.
• Have knowledge of AWS, Kubernetes and Docker.
• Be able to work well in a remote development environment.
• Be able to communicate in English at a native speaking and writing level.
• Be responsible to your fellow remote team members.
• Be highly communicative and go out of your way to contribute to the team and help others

We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!

About You

You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.

You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.

You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.

You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.

 You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result

An ideal candidate is/are:

This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.

• Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
• Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
• Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
• Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
• Manage deployments and rollbacks of applications
• Implement monitoring and metrics with Cloud watch, Newrelic
• Troubleshoot and optimize containerized workload deployments for clients
• Automate operational tasks, and assist in the transition to service ownership models.

About the Role

A highly motivated and passionate individual who has experience in executing end to end web based products and applications; bringing them to production quickly and with high quality. Passionate about building flexible and scalable solutions with an eye for detail and can weigh pros and cons to find best possible solutions. 

Role and Responsibilities

• Collaborate with Product Managers to plan, implement and deliver tasks and modules on a timely basis with best practices and adherence to SOPs.
• Understand the product requirements, ask questions, and gather information and feedback to design and deliver features both on Android and iOS.
• Create a roadmap of tasks to be delivered for both iOS and Android applications in sync, such that new features go to the end-user at same time. 
• Lead the design of Android and iOS applications in a modular fashion with reusable components.
• Proactively identify issues related to memory consumption, battery drain and multi-threading in the application by planning regular tests and analysis.
• Deliver Android and iOS applications with integration to backend services deployed on the cloud with high quality and responsiveness. 
• Create strong practices around test driven development, automating delivery of apps to the marketplace with strong CI/CD practices.
• Manage a highly skilled and efficient team by hiring, keeping the team motivated, and managing performance.
• Play the role of an unblocker in a tight scrum environment. Should be able to help other developers with challenges, problem solving, and help achieve milestones as per plan.
• Prioritize to manage ad-hoc requests in parallel with ongoing projects.
• Hands on with programming with 50%+ of bandwidth going into modules owned.

Skills/Experience

• A highly talented developer with 10+ years of hands-on experience in building apps that have been released to the Play Store(Android) and Appstore(iOS). 
• Demonstrated experience managing teams of 5-10 or more engineers in mobile application teams.
• Strong knowledge of Android, Kotlin, iOS, Swift, Objective C and working with MVVM, MVP, MVC patterns.
• Experience building mobile applications which lean heavily on connecting to cloud services to gather data and stream videos/content. 
• Working knowledge of Xamarin or Flutter (cross platform frameworks) is highly preferred. 
• Practitioner of test driven development practices. Experience in creating and adhering to best practices for development.