Data Engineer

JOB DETAILS:

* Job Title: Engineering Manager

* Industry: Technology

* Salary: Best in Industry

* Experience: 9-12 years

* Location: Bengaluru

* Education: B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Role & Responsibilities

We are seeking a visionary and decisive Engineering Manager to join our dynamic team. In this role, you will lead and inspire a talented team of software engineers, driving innovation and excellence in product development efforts. This is an exciting opportunity to influence and shape the future of our engineering organization.

Key Responsibilities-

As an Engineering Manager, you will be responsible for managing the overall software development life cycle of one product. You will work and manage a cross-functional team consisting of Backend Engineers, Frontend Engineers, QA, SDET, Product Managers, Product Designers, Technical Project Managers, Data Scientists, etc.

• Responsible for mapping business objectives to an optimum engineering structure, including correct estimation of resource allocation.
• Responsible for key technical and product decisions. Provide direction and mentorship to the team. Set up best practices for engineering.
• Work closely with the Product Manager and help them in getting relevant inputs from the engineering team.
• Plan and track the development and release schedules, proactively assess and mitigate risks. Prepare for contingencies and provide visible leadership in crisis.
• Conduct regular 1:1s for performance feedback and lead their appraisals.
• Responsible for driving good coding practices in the team like good quality code, documentation, timely bug fixing, etc.
• Report on the status of development, quality, operations, and system performance to management.
• Create and maintain an open and transparent environment that values speed and innovation and motivates engineers to build innovative and effective systems rapidly.

Ideal Candidate

• Strong Engineering Manager / Technical Leadership Profile
• Must have 9+ years of experience in software engineering with experience building complex, large-scale products
• Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities
• Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages, web technologies, and databases (SQL/NoSQL)
• Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices
• Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence
• Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners
• Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions
• (Company): Product companies
• Must have stayed for at least 2 years with each of the previous companies
• (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

🎯 About Us

Stupa builds cutting-edge AI for real-time sports intelligence ; automated commentary, player tracking, non-contact biomechanics, ball trajectory, LED graphics, and broadcast-grade stats. Your models will be seen live by millions across global events.

🌍 Global Travel

Work that literally travels the world. You’ll deploy systems at international tournaments across Asia, Europe, and the Middle East, working inside world-class stadiums, courts, and TV production rooms.

✨ What You’ll Build

• AI Language Products
• Automated live commentary (LLM + ASR + OCR), real-time subtitles, AI storytelling.
• Non-Contact Measurement (CV + Tracking + Pose Estimation)
• Player velocity, footwork, acceleration, shot recognition, 2D/3D reconstruction, real-time edge inference.
• End-to-End Streaming Pipelines
• Temporal segmentation, multi-modal fusion, low-latency edge + cloud deployment.

🧠 What You’ll Do

Train and optimise ML/CV/NLP models for live sports, build tracking & pose pipelines, create LLM/ASR-based commentary systems, deploy on edge/cloud, ship rapid POCs→production, manage datasets & accuracy, and collaborate with product, engineering, and broadcast teams.

🧩 Requirements

Core Skills:

• Strong ML fundamentals (NLP/CV/multimodal)
• PyTorch/TensorFlow, transformers, ASR or pose estimation
• Data pipelines, optimisation, evaluation
• Deployment (Docker, ONNX, TensorRT, FastAPI, K8s, edge GPU)
• Strong Python engineering

Bonus: Sports analytics, LLM fine-tuning, low-latency optimisation, prior production ML systems.

🌟 Why Join Us

• Your models go LIVE in global sports broadcasts
• International travel for tournaments
• High ownership, zero bureaucracy
• Build India’s most advanced AI × Sports product
• Cool, futuristic problems + freedom to innovate
• Up to ₹40LPA for exceptional talent
• 
  

🔥 You Belong Here If You…

Build what the world hasn’t seen • Want impact on live sports • Thrive in fast-paced ownership-driven environments.

Data Strategy and Planning:

Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.

Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.

Data Collection and Integration:

Identify and assess various data sources, both internal and external, to gather relevant and reliable data.

Design and implement data collection methods and processes to ensure data is captured efficiently.

Oversee data integration initiatives to consolidate data from different sources into a unified database.

Data Quality Assurance:

Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.

Implement data validation processes and routines to identify and rectify data discrepancies or errors.

Database Management:

Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.

Ensure data security and compliance with relevant data protection regulations.

Data Analysis and Reporting:

Collaborate with analysts to provide clean and structured data for analysis.

Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.

Team Collaboration:

Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.

Provide guidance and training to team members regarding data management best practices.

 Job Title              : Project Engineer

Department      : BMS (Building Management System)

Location              : Mumbai

Experience        : 3-4 Years in BMS project execution and handover process

Desired Qualification: Diploma, Degree in Engineering

Skills Required : _______________

Salary                   : As per Company Norms

Job Overview:

This role requires to Lead the project, Preparing, scheduling, coordinating and monitoring the assigned engineering projects. Monitoring compliance to applicable codes, practices, QA/QC policies, performance standards and specifications. Interacting daily with the clients to interpret their needs and requirements and representing them in the field.

Responsibilities:

• Preparing, scheduling, coordinating, and monitoring of assigned engineering projects.
• Reviewing the engineering tasks and initiating the necessary corrective actions.

·        To ensure that the full compliance of sub-contractors with Company Quality policies and with the requirements of this method statement.

·        To ensure that all the equipment required executing the works according to the BMS project are available, in good condition, and provide any additional equipment that might be required.

·        To co-ordinate with the Electrical, QA, QC & EHS for a safe and proper execution of the works.

·        Liaise with Client / Consultant for execution of works as per BMS project activities

·        Collect and analyse project information to create status reports and recommend future actions

·        Allocation of required labour through co-ordination with the Project Manager.

·        Take precautionary measures concerning protecting works from hot weather, wind, rain and sun.

·        Ensure that all works activities will be carried out in accordance to approved drawings, specifications and quality.

Roles & Responsibilities:

Lead Generation & Prospecting: Identify potential clients via LinkedIn, cold calls, emails, and networking.

Sales & Revenue Growth: Develop sales strategies to meet targets and drive enrollments.

Client Acquisition & Relationship Management: Build strong relationships with students, professionals, and corporate clients.

Pitching & Presentations: Deliver compelling sales presentations and course demos.

Market Research & Competitive Analysis: Stay updated on industry trends and competitor offerings.

Collaboration & Reporting: Coordinate with marketing, operations, and academic teams while maintaining sales reports.

Negotiation & Deal Closure: Handle pricing discussions, close deals, and ensure customer satisfaction.

REQUIREMENTS: ● 1-2 years in outbound focused sales position desired; customer-oriented background required (sales, support, customer service) in B2B preferably ● Bachelor’s degree in business, marketing, or related field ● Excellent communication and interpersonal skills ● The ability to generate leads independently. ● Willingness to learn and apply the fundamentals of the MEDDIC Sales process approach ● Great to have-Artificial Intelligence, Machine Learning and/or Computer Vision ● Knowledge of the AI industry and emerging technologies

KEY RESPONSIBILITIES: ● Prospecting: As a SDR you will be responsible for identifying and qualifying high potential customers via cold calling, networking, e-mail, as well as utilizing Internet information sources to build and maintain a lead development pipeline. ● Lead Nurturing: You will follow up with qualified leads and build a relationship with them, answering their questions and providing helpful information to move them closer to a buying decision. ● Sales Enablement: You will work closely with the sales team to understand their needs and help them be more effective in closing deals. This can involve creating sales collateral, providing market insights, and organizing training sessions. ● Data Management: You’ll be responsible for keeping accurate and up-to-date records of all their activities and interactions with potential customers. This data is used to inform the sales process and improve overall performance. ● Pipeline Management: You will be managing the pipeline of leads and ensuring that it is always full of high-quality prospects.

The Role:

We are looking for an enthusiastic Technology Lead (Python or Node), who adopts a hands-on approach and loves to build scalable, distributed and large web / mobile products. You would be responsible for designing the architecture, reviewing the code, building the technology and deploying web/mobile applications.

Responsibilities:

• Own the product development from scratch.
• Design and implementation of low-latency, high-availability, and performant applications.
• Architect scalable software solutions and mentor a team of high performing developers.
• Participate in code reviews, design reviews, SCRUM ceremonies, and troubleshoot to ensure uptime for live systems etc.

Requirements:

• Bachelor's degree in a technology-related field from a premier college.  
• Prior 4+ years of experience in back-end development (Python/ Golang) in a start-up or a dynamic work environment.
• Good exposure in writing and optimizing SQL for high-performance systems.
• Understanding of asyncio and eventloop/ uvloop concepts. Knowledge of frameworks such as Quart/ Fastapi/ Starlette is preferred.
• Knowledge of AWS; Caching technologies like Redis, Memcache; ELK; mySQL Databases, etc.
• Strong understanding of System Design, Microservice Architecture, Kafka, Pub/Sub, Message queues, and in-memory data stores etc.
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment.