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Phonologies (India) Private Limited
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Phonologies (India) Private Limited logo

Phonologies (India) Private Limited

https://phonologies.com
Founded :
2001
Type :
Products & Services
Size
Stage :
Profitable

About

Leading provider of cloud-based platforms to voice enable business processes in a cost-efficient manner.
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Prashant Lamba

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Jobs at Phonologies (India) Private Limited

Phonologies (India) Private Limited
at Phonologies (India) Private Limited
1 recruiter
Prashant Lamba
Posted by Prashant Lamba
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Pune
4 - 7 yrs
₹18L - ₹30L / yr
Large Language Models (LLM)
skill iconPython
skill iconDocker
Retrieval Augmented Generation (RAG)
SQL
+7 more

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.


Role & Responsibilities

  • Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
  • LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
  • Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
  • Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
  • Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
  • Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.


Preferred Candidate Profile

  • Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
  • Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
  • Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
  • AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
  • Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
  • MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
  • Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
  • Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

  • Competitive Compensation: INR 20L to 30L per year.
  • Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.


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