NextHire

Data Research Engineer – AI/ML

NextHire

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

ETLPythonPyTorchSQLTensorflow

About the role

  • Develop and implement methods to leverage AI and LLMs (Large Language Models) for process automation and data research efficiency.
  • Proactively identify new AI/LLM-based solutions to streamline operations and improve data workflows.
  • Act as a visionary for AI/LLM adoption, anticipating future technological developments and preparing the team to capitalize on them early.
  • Assist in acquiring and integrating data from multiple sources, including web crawling, APIs, and other data pipelines.
  • Design and optimize ETL workflows to ensure high-quality data availability for downstream analysis.
  • Explore and evaluate third-party tools for modernizing legacy data systems and enhancing scalability.
  • Collaborate cross-functionally with content, research, and analytics teams to understand and fulfill data requirements.
  • Ensure timely delivery of project milestones in a fast-paced, dynamic environment.
  • Support and collaborate with fellow engineers on the Data Research and Extraction Team.
  • Utilize online technical resources effectively (e.g., StackOverflow, ChatGPT, Bard) while understanding their limitations.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (advanced degree is a plus).
  • Minimum 4+ years of experience in Data Engineering, AI/ML Engineering, or related fields.
  • Strong proficiency in Python for data manipulation, automation, and API integration.
  • Experience in AI/ML engineering and data extraction workflows.
  • Proficiency in implementing Retrieval-Augmented Generation (RAG) pipelines using tools such as ChromaDB or Pinecone.
  • Experience with agentic AI platforms (e.g., CrewAI, LangChain) for modular and autonomous task execution.
  • Hands-on experience working with LLMs, including prompt engineering and mitigation of model “hallucinations.”
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
  • Exposure to NLP frameworks (spaCy, NLTK, Hugging Face, etc.).
  • Understanding of SQL and data querying (a plus).
  • Familiarity with web crawling techniques and API integration (a plus).
  • Experience using version control tools such as Git for collaborative development.
  • Strong problem-solving, analytical, and critical-thinking skills.
  • Excellent communication and teamwork abilities.
  • Ability to thrive in a high-growth environment with shifting priorities.
  • Experience managing or mentoring AI/LLM-focused teams is a plus.
  • Familiarity with Agile development methodologies (a plus).
Benefits
  • Day off on the 3rd Friday of every month (one long weekend each month)
  • Monthly Wellness Reimbursement Program to promote health and well-being
  • Monthly Office Commutation Reimbursement Program
  • Paid Paternity and Maternity Leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonAI/ML engineeringdata extraction workflowsRetrieval-Augmented Generation (RAG)ChromaDBPineconeagentic AI platformsCrewAILangChainLLMs
Soft skills
problem-solvinganalytical skillscritical-thinkingcommunicationteamworkadaptabilitymentoringcollaborationvisionary thinkingtime management
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in Engineering