SDE III - COE-ML at MindTickle

Bengaluru, Karnataka, India

MindTickle Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Strong programming skills in Python, Java, or Go
  • Experience with AWS, Kubernetes, and cloud-native infrastructures
  • Understanding of AI/ML concepts and techniques
  • Experience with prompt engineering and LLM integrations
  • Familiarity with CI/CD pipelines and automated testing
  • Ability to translate business requirements into technical specifications
  • Experience with data engineering and DevOps practices
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

Responsibilities

  • Translate business use cases into detailed AI/ML problem statements and success metrics
  • Gather and document functional and non-functional requirements
  • Ensure traceability throughout the development lifecycle
  • Design end-to-end architectures for GenAI and LLM solutions
  • Build rapid prototypes to validate feasibility
  • Write clean, maintainable code
  • Implement automated testing and CI/CD pipelines
  • Optimize model inference performance and scale services
  • Define and implement monitoring dashboards and alerting
  • Conduct performance tuning and cost analysis
  • Mentor SDE-1/SDE-2 engineers and interns
  • Lead design discussions and pair-programming

Skills

Python
Java
Go
AWS
Kubernetes
Prompt Engineering
LLM
GenAI
CI/CD
Automated Testing
Data Engineering
DevOps

MindTickle

Sales readiness and enablement platform

About MindTickle

MindTickle provides sales readiness and enablement solutions through a platform that focuses on training sales teams using micro-learning, social interactions, and gamified methods. The platform delivers small, digestible learning content that engages users and enhances their training experience. MindTickle caters to a diverse range of clients, from small businesses to large enterprises, particularly in customer-centric industries like MedTech and technology. Unlike many competitors, MindTickle offers a subscription-based software as a service (SaaS) model, allowing clients to access their tools based on user needs and service levels. Key features of the platform include virtual coaching tools, data-driven insights, and readiness assessments, all aimed at improving sales skills and customer interactions. The company's goal is to continuously enhance sales capabilities and ensure teams are well-prepared to deliver exceptional customer experiences.

San Francisco, CaliforniaHeadquarters
2012Year Founded
$273.6MTotal Funding
SERIES_ECompany Stage
Data & Analytics, Enterprise Software, EducationIndustries
501-1,000Employees

Risks

Economic uncertainty may lead to reduced budgets for sales readiness solutions.
Rapid AI advancements require continuous innovation to maintain competitive edge.
Integration challenges from acquiring Enable Us could disrupt service delivery.

Differentiation

MindTickle offers a unique blend of gamified and data-driven sales training.
The platform integrates virtual coaching and readiness assessments for comprehensive sales enablement.
MindTickle's SaaS model allows flexible, scalable solutions for diverse business needs.

Upsides

Recognition as a leader in revenue enablement boosts MindTickle's market credibility.
Generative AI Copilot enhances sales training, aligning with current AI trends.
74% customer growth and 233% ARR increase highlight strong market demand.

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