Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
Strong programming skills in Python, Java, or Go are required.
Required experiences include AWS, Kubernetes, cloud-native infrastructures, AI/ML concepts, prompt engineering, LLM integrations, CI/CD pipelines, data engineering, and DevOps practices.
The role includes mentoring SDE-1/SDE-2 engineers and interns, as well as leading design discussions and pair-programming.
Strong candidates will have the ability to translate business requirements into technical specifications, strong problem-solving and analytical skills, and excellent communication and collaboration skills.
Sales readiness and enablement platform
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.