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A Senior Business Development Associate (BDA) in the EdTech industry focused on sales would typically be responsible for developing and executing sales strategies to drive revenue growth for educational technology products or services. Some key responsibilities may include:

1. Identifying and reaching out to potential clients (e.g., educational institutions, corporate training programs) to generate leads and build a strong sales pipeline.

2. Conducting market research to understand the needs and preferences of the target audience and develop targeted sales pitches and proposals.

3. Collaborating with internal teams, such as product development and marketing, to align sales efforts with overall business goals and objectives.

4. Presenting product demonstrations, conducting sales presentations, and negotiating contracts with clients.

5. Managing client relationships, providing exceptional customer service, and addressing any inquiries or issues to ensure client satisfaction and retention.

6. Analyzing sales data, tracking performance metrics, and providing regular reports to management to evaluate the effectiveness of sales strategies and identify areas for improvement.

Overall, a Senior BDA in EdTech sales would play a crucial role in driving business growth, establishing strong relationships with clients, and contributing to the overall success of the organization in the education technology industry.

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, BQ optimization, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At Least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

6.Data Modeling, GCP Databases, DB Schema(or similar)

7.Hands-on data modelling for OLTP and OLAP systems

8.In-depth knowledge of Conceptual, Logical and Physical data modelling

9.Strong understanding of Indexing, partitioning, data sharding, with practical experience of having done the same

10.Strong understanding of variables impacting database performance for near-real-time reporting and application interaction.

11.Should have working experience on at least one data modelling tool,

preferably DBSchema, Erwin

12Good understanding of GCP databases like AlloyDB, CloudSQL, and

BigQuery.

13.People with functional knowledge of the mutual fund industry will be a plus Should be willing to work from Chennai, office presence is mandatory

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Senior Software Engineer

Location: Hyderabad, India

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

What You’ll Do:

Build, Innovate, and Own:

• Design, develop, and maintain high-performance microservices in a modern .NET/C# environment.
• Architect and optimize data pipelines and storage solutions that power our AI-driven products.
• Collaborate closely with AI and data teams to bring machine learning models into production systems.
• Build integrations with external services and APIs to enable scalable, interoperable solutions.
• Ensure robust security, scalability, and observability across distributed systems.
• Stay ahead of the curve — evaluating emerging technologies and contributing to architectural decisions for our next-gen platform.

Responsibilities will include but are not limited to:

• Provide technical guidance and code reviews that raise the bar for quality and performance.
• Help create a growth-minded engineering culture that encourages experimentation, learning, and accountability.

What You’ll Need:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems using C#/.NET and microservices architecture.
• Strong experience with SQL and NoSQL data stores.
• Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven ability to design for performance, reliability, and security in data-intensive systems.
• Excellent communication skills and ability to work effectively in a global, cross-functional environment.

Set Yourself Apart With:

• Startup experience - specifically in building product from 0-1
• Exposure to AI/ML-powered systems, data engineering, or large-scale data processing.
• Experience in healthcare or fintech domains.
• Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navita

Notice Period - 0-15 days Max

Apply only who are currently in Karnataka

F2F interview

Interview - 4 rounds

Job Title: AI Specialist

Company Overview: We are the Technology Center of Excellence for Long Arc Capital

which provides growth capital to businesses with a sustainable competitive advantage and 

a strong management team with whom we can partner to build a category leader. We focus 

on North American and European companies where technology is transforming traditional 

business models in the Financial Services, Business Services, Technology, Media and 

Telecommunications sectors.

As part of our mission to leverage AI for business innovation, we are establishing AI COE to 

develop Generative AI (GenAI) and Agentic AI solutions that enhance decision-making, 

automation, and user experiences.

Job Overview: We are seeking dynamic and talented individuals to join our AI COE. This 

team will focus on developing advanced AI models, integrating them into our cloud-based 

platform, and delivering impactful solutions that drive efficiency, innovation, and customer 

value.

Key Responsibilities:

• As a Full Stack AI Engineer, research, design, and develop AI solutions for text, 

image, audio, and video generation

• Build and deploy Agentic AI systems for autonomous decision-making across 

business outcomes and enhancing associate productivity. 

• Work with domain experts to design and fine-tune AI solutions tailored to portfoliospecific challenges.

• Partner with data engineers across portfolio companies to –

o Preprocess large datasets and ensure high-quality input for training AI 

models.

o Develop scalable and efficient AI pipelines using frameworks like 

TensorFlow, PyTorch, and Hugging Face.

• Implement MLOps best practices for AI model deployment, versioning, and 

monitoring using tools like MLflow and Kubernetes.

• Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., 

GDPR, CCPA), and mitigate biases.

• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating 

with UX designers and frontend developers.

Internal Use Only

• Stay up to date with the latest AI research and tools and evaluate their applicability 

to our business needs.

Key Qualifications:

Technical Expertise:

• Proficiency in full stack application development (specifically using Angular, React).

• Expertise in backend technologies (Django, Flask) and cloud platforms (AWS 

SageMaker/Azure AI Studio).

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).

• Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI 

APIs, LangChain, Stable Diffusion).

• Solid understanding of data engineering workflows, including ETL processes and 

distributed computing tools (Apache Spark, Kafka).

• Experience with data pipelines, big data processing, and database management 

(SQL, NoSQL).

• Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable 

AI deployment.

• Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).

• Good understanding of AI ethics, bias mitigation, and compliance standards.

• Excellent problem-solving abilities and innovative thinking.

• Strong collaboration and communication skills, with the ability to work in crossfunctional teams.

• Proven ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced studies in Artificial Intelligence, or a related field.

• Experience with reinforcement learning, multi-agent systems, or autonomous 

decision-making

Experience & Education

• Experience: 6–8 years in SAP PP-QM (ECC or S/4HANA), with cross-module knowledge
• Education: Graduate in any discipline (minimum 4 academic years)
• Domain Expertise: Minimum 3 years in Planning, Production Control, or Shop Floor Management

Implementation & Technical Skills

• SAP Projects: Minimum 3 full-cycle SAP PP/QM implementations
• S/4HANA Exposure: Familiarity with Fiori, PPDS, ATP, and other innovations
• Production Process Mapping: Expertise in aligning organizational elements with production processes
• Demand Management & MRP: Strong command over planning, MRP, and execution
• Shop Floor Management: Production order Process and Configurations.
• Quality Management: Configuration of QM processes including notifications, inspections, calibrations, and interfaces
• PLM Integration: Experience with product lifecycle management and tools like Siemens Teamcenter, MES, Ariba, Supplier 360, Windchill
• Cross-Module Integration: Proficient in integrating with S/4HANA, PDR, and external systems
• Plant Maintenance (PM): Basic understanding and ability to handle minor PM-related tasks
• ABAP: Basic debugging and technical understanding

Work Culture & Responsibilities

• Independently manage PP/QM projects and support calls
• Collaborate across culturally diverse teams in Asia, Middle East, and Africa
• Conduct workshops to gather and analyze business requirements
• Deliver end-to-end SAP solutions: Blueprinting, Design, Functional Specs, Testing, Training, and Deployment
• Execute PP/QM enhancements and changes within defined timelines
• Manage master and transactional data migrations using SAP tools
• Ensure compliance with audit standards, information security, and GRCM guidelines

Value Additions

• Drive innovation in PP/QM functionalities beyond standard templates
• Actively contribute to ABB initiatives such as CSI, cost optimization, best utilization, and AppRun team efforts

Requirements

• 3.5+ years of experience in React JS and Redux
• Expert in React.j, ideally using TypeScript language extensions
• Good understanding of JavaScript Design Patterns
• Good experience writing front-end test cases
• HTML5, CSS3 and Responsive web design are mandatory
• Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery
• Self-motivated, fast learner, detail-oriented, team player and a sense of humour

Senior / Lead Full Stack or Frontend Engineer

Hiring for a Series E, 3.1 Billion Dollar rapidly growing organisation focused on payments, marketing and customer loyalty.

• To take ownership of delivering performant, scalable and high quality cloud based software, both frontend and backend side.
• Code reviews.
• Mentoring Team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.

• Thorough knowledge of developing cloud based software including backend apis and react/angular based frontend.
• Thorough knowledge of scalable design patterns and message based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, Sql etc.
• Experience with AWS services such as S3, IAM, Lambda etc.
• Expert level coding skills in NodeJs,TypeScript,Scala,ReactJs,Angular.
• Eye for user centric mobile first designs on the frontend.
• Experience with hybrid frontends such as react-native, electronJs is a plus.    

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

• Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
• You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
• Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

• 2-3 year of hands-on experience in speech recognitionbased projects 
• Proven experience as a Speech engineer or similar role 
• Should have experience of deployment on edge devices 
• Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
• Prior proven experience in training and deployment of deep learning models on scale 
• Strong programming experience in Python,C/C++, etc. 
• Working experience with Pytorch and Tensorflow
• Experience contributing to research communities including publications at conferences and/or journals 
• Strong communication skills 
• Strong analytical and problem-solving skills

At BACQ, our mission is to build financial services that are simple, accessible and affordable.

BACQ is founded by Sachin Bansal & Ankit Agarwal to build consumer-centric and technology-driven businesses in the BFSI (Banking, Financial Services & Insurance) space.

• Work on the development backend systems for our first product
• Build reliable, secure and performant backend systems
• Drive test coverage and continuous delivery automation within the team
• Mentor and provide feedback to teammates

• 2+ years of software development experience
• Strong computer science fundamentals
• Good knowledge of Java ecosystem
• Can write code that is readable, maintainable and performant
• Know the importance of tests and how to approach writing different types of tests
• Good understanding of relational databases, transactions, entity-relationship modeling
• Comfortable writing multi-threaded programs

• Understanding of domain-driven design concepts like ubiquitous language, bounded contexts, aggregates and domain events
• Know how to use test driven development as a design tool 
• Good intuition for the principles underlying object-orientation, particularly encapsulation
• Understand the importance of immutability and of reducing the state-space of objects
• Seek to identify key underlying ideas and use those as building blocks before reaching for shiny new tools
• Have read some of our https://docs.google.com/document/d/18eWIOPYs0Hi8Kr4lXTtP_XMJp_4BrBzOd9Eui8v_l-c/edit?usp=sharing">favourite books