Senior ML Engineer - India
# Senior ML Engineer - India **ConverzAI** · India · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[Senior-ML-Engineer]` `[AI-Engineer]` `[Senior-ML-Engineering]` `[Senior-AI-ML-Engineer]` `[Senior-Applied-ML-Engineer]` `[Senior-ML-Platform-Engineer]` `[Lead-ML-Engineer]` `[Senior-AI-ML-Developer]` `[Senior-AI-ML-Professional]` --- ### About the Role About the job Company Description ConverzAI is building cutting-edge tools that improve hiring outcomes through intelligent automation, data-driven insights, and user-first design. We're backed by top investors and growing rapidly. If you're eager to make an impact in a high-ownership, fast-growth environment — we’d love to hear from you. Role Description We’re seeking a Senior Machine Learning Engineer (5–8 years experience) to join our elite remote development team. You’ll play a pivotal role in shaping our state-of-the-art conversational AI product in a fast-moving and high-velocity environment. We're looking for a hands-on, technically strong engineer who thrives on building robust, scalable cloud services to power enterprise-grade AI interactions. Responsibilities: - Design, build, and deploy ML models including recommendation systems and semantic/vector-based search engines. - Develop Retrieval-Augmented Generation (RAG) pipelines, including effective prompt engineering and integration with external knowledge bases. - Analyze structured and unstructured historical data to develop production-grade, data-driven algorithms. - Architect scalable APIs, background jobs, workflows, and data pipelines ensuring performance and reliability. - Collaborate with product managers, backend/frontend engineers, and design teams to translate business requirements into technical solutions. - Refactor and optimize existing systems for performance, maintainability, and extensibility. - Write well-tested, modular code with strong emphasis on code quality, test coverage, and code reviews. - Stay current on emerging trends in AI/ML, LLMs, and cloud-native development. Core Requirements: - 5+ years of hands-on Python experience, with strong understanding of OOP and software engineering principles. - Deep experience with semantic and keyword-based search design, especially vector embedding techniques. - Proven experience building recommendation systems and personalization algorithms. - Proficiency in at least one Python web framework (FastAPI, Django, Flask). - Strong data analysis skills using libraries like Pandas, NumPy, etc. - Prior experience with Retrieval-Augmented Generation (RAG) and prompt engineering for LLMs. - Familiarity with cloud-based ML deployment (AWS/GCP/Azure). - Excellent problem-solving skills and the ability to thrive in a collaborative, fast-paced setting. Preferred Qualifications: - Experience fine-tuning large language models (e.g., OpenAI, Mistral, LLaMA, etc.). - Exposure to agentic AI systems and multi-component pipelines (MCPs). - Familiarity with LangChain, LlamaIndex, or similar orchestration tools. - Containerization (Docker) and orchestration (Kubernetes) experience. - Prior experience in the job-candidate matching, HRTech, or staffing domain. - Agile development experience and strong communication skills. Originally posted on Himalayas
- Machine-Learning-Engineer
- Senior-ML-Engineer
- AI-Engineer
- Senior-ML-Engineering
- Senior-AI-ML-Engineer
- Senior-Applied-ML-Engineer
- Senior-ML-Platform-Engineer
- Lead-ML-Engineer
- Senior-AI-ML-Developer
- Senior-AI-ML-Professional
Наблюдалась 2026-10-14, впервые 2026-10-14, источник — Himalayas (JSON API).