Head Data Science

MUST HAVE EXPERIENCE IN DEFENCE DOMAIN

a)   Design and Modelling:

§ Create detailed 2D and 3D CAD designs of components and systems using tools such as SolidWorks- preferred or NX CAD, AutoCAD, or CATIA.

§ Develop and refine engineering drawings for manufacturing and assembly.

§ Ensure designs meet technical specifications, functional requirements, and industry standards.

b)   Prototyping and Testing

§ Collaborate with the R&D team to develop and test prototypes.

§ Perform feasibility studies and stress analyses using simulation tools or manual methods.

§ Identify and address design issues during testing and validation phases.

c)   Process Optimization

§ Work closely with manufacturing teams to ensure designs are optimized for production

§ Implement Design for Manufacturing (DFM) and Design for Assembly (DFA) principles in projects.

§ Continuously improve existing designs to enhance performance and cost efficiency.

d)   Collaboration and Documentation

§ Collaborate with multidisciplinary teams, including mechanical, electrical, and software engineers.

§ Prepare technical documentation, including engineering reports, specifications, and design records.

§ Support project planning and provide inputs for timelines and resource requirements

About the Role

We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications.

You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.

Key Responsibilities

• Architect and build scalable backend systems (Python / FastAPI preferred)
• Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
• Deploy and maintain containerized applications on AWS/Azure
• Use AI coding assistants and agents to accelerate development, without compromising code quality
• Convert ambiguous requirements into production-ready systems

Must-Have Skills

• 7+ years of professional software engineering experience
• Strong Python backend experience
• Experience building REST APIs and production systems
• Solid understanding of system design and clean architecture
• Hands-on experience with Docker and Linux
• Experience deploying to AWS or Azure
• Experience integrating LLM APIs into applications
• Experience with embeddings / vector databases / RAG pipelines
• Strong Git and collaborative development workflows
• Ability to operate independently in ambiguous environments

Most importantly:

• Strong engineering fundamentals
• High ownership mindset
• Comfort using AI tools to move fast
• Discipline to maintain structure and quality

Good-to-Have

• Experience with real-time streaming or WebSockets
• Kubernetes deployment experience
• Experience in a fast-paced startup or consulting environment
• Familiarity with agent frameworks or voice/multimodal systems

Screening Requirement

Please include:

• A portfolio of systems you’ve built (especially AI-enabled systems), and
• A short note explaining how you use AI tools in your development workflow.

We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code.

Strong Customer Success Manager / Implementation Manager / Post-Sales Delivery (B2B SaaS – US Customers) Profiles

Mandatory (Experience 1): Must have 3+ years of experience in Customer Success roles within B2B SaaS companies, primarily working with US-based customers.

Mandatory (Experience 2): Must have experience owning end-to-end customer onboarding and implementations, including requirement discovery, onboarding execution, go-live ownership, and early adoption success

Mandatory (Experience 3): Must have strong project management and customer communication skills, owning onboarding timelines, running regular customer check-ins, managing CXO-level stakeholders, and proactively flagging risks or blockers.

Mandatory (Experience 4): Must have worked in post-sales, non-quota-carrying roles focused on customer success, retention, and long-term relationship management (upsell is not mandatory)

Mandatory (Experience 5): Must have a conceptual understanding of SaaS products and APIs, with the ability to understand workflows, follow integration issues, and coordinate effectively with technical teams (hands-on coding not required).

Mandatory (Note): Must be willing to work in US time zones (approx. 4:30 AM IST onwards, Mon–Fri).

Mandatory (Company): B2B SaaS (Technical complex)

• Candidate must have a proven track record in commercial real estate development (e.g., malls, office buildings, industrial setups).
• Candidate must have minimum 20 years of experience in real estate project management.
• Need candidate having strong experience across the entire project lifecycle – including planning, government approvals, vendor management, and execution.
• Need candidate with 10+ years of experience working with top-tier real estate firms such as DLF, Vatika, Unitech, etc.
• Candidate must have deep knowledge of construction norms, regulatory compliance, and legal approval processes.
• Candidate must have a well-established industry network within the real estate and construction ecosystem.

LambdaTest is a cloud-based testing platform aimed at bringing the whole testing ecosystem to cloud. LambdaTest provides access to a powerful cloud network of 2000+ real browsers and operating system that helps testers in cross-browser and cross platform compatibility testing. The product roadmap is evolving and there are many more functionalities and features which will be added to the product. The company is angel funded by the leading investors and entrepreneurs of the industry. We are growing at a fantastic rate. This is an incredible opportunity for someone talented and ambitious to make a huge impact.

You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll out a product that delivers the company’s vision and strategy.

Requirement -

• Collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products 
• Implement new features to solve critical problems that our customers face in their development and testing cycle. 
• Define, track and improve feature success metric. 
• Work closely with our engineering and design teams to simplify testing for our customers Collaborate with the Sales, Marketing and GTM team and execute successful product launches

Experience –

• 3 – 5 years of overall experience in Product Management or Engineering Passionate or hands-on about programming, software testing and DevOps Able to understand and write code. 
• Have prior experience building or using developer products Strong hold on basic tech concepts. Willingness to learn advanced concepts. 
• Experience in web, app development or automation testing is a plus (Optional)