Data Product Manager

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Your Key Responsibilities

You'll be taking full ownership of end-to-end app development along with

maintaining our accounts on Play Stores and App Store.

Defining the architecture for the App and maintaining it with industry standards.

Improving app performance along with an amazing customer experience.

Working closely with the product team to create a useful application for the

customers.

Prototyping new features and exploring technological solutions to deliver an

amazing experience.

Leverage native APIs for deep integrations.

Maintain code and write automated tests to ensure the product is of the highest

quality.

Recommended skills

3+ years of experience of working with React Native.

Experience with Native Android/IOS native is a plus.

Expertise in Live streaming from mobile app is a plus.

Experience with automated testing suites.

Knowledge about Offline Storage, REST APIs, and document request model.

Experience of working on products similar to Instagram, Moz, Hotstar, Mxtaka,

Roposo, Leherapp, Dailyhunt, etc is an advantage.

Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction
• Conduct research to identify new markets and customer needs
• Arrange business meetings with prospective clients
• Promote the company’s products/services addressing or predicting clients’ objectives
• Prepare sales contracts ensuring adherence to law-established rules and guidelines
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing customers
• Develop entry level staff into valuable salespeople

Software Development Engineer – SDE 2.            

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

 Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

Job Title: Project Associate - Mixed Signal Design Profile
Industry: Wireless communication, 5G
Organization: 5G TestBed-IIT Hyderabad- Hyderabad

Job Description
Work Profile:
· Work on development of custom Analog circuit boards for applications related to RF, interfaces etc.
· Implement new features and bug fixes
· Verify analog/mixed-signal integrated circuits
· Develop test cases to verify new features and bug fixes
· Review and update the user manuals for software tools.
· Supporting digital modelling of analog circuits for mixed-signal verification
· Creating design specifications and circuit schematics
· Work both independently and in a team environment, with the opportunity to provide technical leadership to other members of the engineering team
· Create and/or modify specification documents detailing system design and enhancements to meet marketing requirements
· Collaborate with others in the creation of technical reports, whitepapers, and user documentation

Requisites:
· EE/EEE/ECE graduate, undergraduate degree from reputed Tier 1 or Tier 2 colleges .
· Strong knowledge of analog integrated circuit design fundamentals
· Proven experience taking designs from concept to production
· Experience in analog/mixed-signal IC design & verification
· Understanding of BJT, CMOS and Op-Amp technologies.
· Good understanding of analog/mixed-signal design flows (Cadence, Synopsys)
· Transistor and system level simulation skills
· Discrete time and continuous time signal processing skills
· Strong lab and silicon validation skills
· Verilog based digital design and test bench development, is a plus
· Strong communication skills, both written and verbal
About us:
For more details please visit: http://5g.iith.ac.in/
IIT Hyderabad in collaboration with top Indian institutes including IITM, CEWiT, IITD, IITK, IISC and SAMEER is building the largest 5G testbed of the country, with the support of Department of Telecommunications (DoT) Govt. of India. This project will create a 5G prototype and testing platform that will be developed under the guidance of IIT-H faculty.
The project will deliver an end-to-end 5G testbed comprising 5G BS and UE nodes that support enhanced mobile broadband (eMBB), Ultra low latency communication (URLLC), and massive MTC including NB IoT services. The operating frequently includes both sub 6 GHz and mmwave frequencies. The system will exceed IMT 2020 5G performance requirements including Low Mobility Large Cell (i.e.., LMLC) targets introduced by India at ITU.
The 'Indigenous 5G Testbed' project is a long-term effort with a team of 100+ researchers/engineers based out of IIT-H campus.