
Gainwell Technologies Off Campus Drive 2025 | Gainwell Technologies Hiring LLM & ML Ops Engineer
Gainwell Technologies
Gainwell Technologies off campus drive : Job Overview
| Company | Gainwell Technologies |
| Location | Remote |
| Category | Software |
| Employment Type | full-time |
| Posted | 29 Mar 2025 |
| Status | Active |
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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