Senior ML Engineer - India

Posted 11 Hours Ago
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Hiring Remotely in IN
Remote
Senior level
Artificial Intelligence • HR Tech • Conversational AI • Automation
The Role
Build and deploy production machine learning systems, including recommendation engines, semantic search, RAG pipelines, and LLM applications. Architect scalable APIs, workflows, background jobs, and data pipelines while optimizing reliability and performance. Collaborate with product and engineering teams, write tested modular code, conduct code reviews, and stay current with AI/ML and cloud-native technologies.
Summary Generated by Built In

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.

ConverzAI is an Equal Opportunity Employer, and we value diversity in the company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, disability status, or any other basis forbidden under federal, state, or local law.

Skills Required

  • 5+ years of hands-on Python experience
  • Strong understanding of object-oriented programming and software engineering principles
  • Deep experience designing semantic and keyword-based search, including vector embeddings
  • Experience building recommendation systems and personalization algorithms
  • Proficiency with at least one Python web framework: FastAPI, Django, or Flask
  • Strong data analysis skills using Pandas, NumPy, or similar libraries
  • Experience with Retrieval-Augmented Generation and LLM prompt engineering
  • Familiarity with cloud-based machine learning deployment on AWS, GCP, or Azure
  • Excellent problem-solving and collaboration skills in a fast-paced environment
  • Experience fine-tuning large language models such as OpenAI, Mistral, or LLaMA
  • Exposure to agentic AI systems and multi-component pipelines
  • Familiarity with LangChain, LlamaIndex, or similar orchestration tools
  • Experience with Docker and Kubernetes
  • Experience in job-candidate matching, HRTech, or staffing
  • Agile development experience and strong communication skills
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The Company
118 Employees

What We Do

ConverzAI is an AI technology company that builds AI-powered Virtual Recruiters for staffing and recruiting firms. Its Voice AI platform automates candidate screening, engagement, and other recruitment tasks at scale while preserving the human touch, helping teams increase capacity, accelerate hiring, and make data-driven decisions. Founded in 2019 and backed by top investors including Menlo Ventures, the company delivers measurable outcomes such as 10X ROI and 3X more placements for its customers.

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