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Gainwell Technologies Off Campus Drive 2025 | Gainwell Technologies Hiring LLM & ML Ops Engineer

Gainwell Technologies

Remote Softwarefull-timePosted 29 Mar 2025Active

Gainwell Technologies off campus drive : Job Overview

CompanyGainwell Technologies
LocationRemote
CategorySoftware
Employment Typefull-time
Posted29 Mar 2025
StatusActive

Job Description

Company: Gainwell Technologies

Job Role: LLM & ML Ops Engineer

Qualification: Bachelor's/Master’s degree in Computer Science, Engineering, or related fields

Experience: Fresher/Relevant experience in ML Ops and LLM Ops

Salary: As per company standard

Job Location: Remote (Work from anywhere in India)

Last Date: Not specified

Job Description:
Gainwell Technologies is looking for LLM Ops Engineers and ML Ops Engineers to join their AI/ML team. This role involves developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs).

Responsibilities:
LLM Ops:

  • Develop scalable deployment strategies for LLMs (GPT, Llama, Claude, etc.).
  • Optimize LLM inference performance, including model parallelization and fine-tuning.
  • Manage vector databases and retrieval-augmented generation (RAG) pipelines.
  • Monitor model hallucination rates, token usage, and cost optimization.
  • Ensure compliance with ethical AI practices and privacy regulations.

ML Ops:

  • Design and maintain CI/CD pipelines for ML model training and deployment.
  • Automate data ingestion, feature engineering, and model retraining workflows.
  • Monitor model performance, drift, and ensure proper alerting systems.
  • Implement security, compliance, and governance protocols for model deployment.
  • Collaborate with Data Scientists to streamline model development.

Requirements:

  • Experience with ML Ops tools (Kubeflow, MLflow, TFX, SageMaker).
  • Knowledge of LLM-specific frameworks (LangChain, LlamaIndex, Hugging Face, OpenAI APIs, Vector DBs like Pinecone, FAISS).
  • Proficiency in deploying models on AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, Terraform, and CI/CD practices.
  • Familiarity with monitoring tools like Prometheus and Grafana.
  • Strong coding skills in Python and Bash.
  • Knowledge of healthcare AI applications and compliance (HIPAA, CMS) is a plus.

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Tags: #Hiring #MLops #LLOps #AI #MachineLearning #RemoteJobs #IndiaJobs

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