Egnyte Logo

Egnyte

Sr Machine Learning Engineer - AI

Posted 8 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Fine-tune and optimize small language models using Hugging Face, TRL, and adapter methods. Build MLOps pipelines, deploy models to edge and mobile environments, meet strict latency targets, and monitor production accuracy, latency, and hardware utilization. Evaluate model quality through benchmarking and custom evaluation suites while applying quantization, pruning, and knowledge distillation.
The summary above was generated by AI

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 23,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values:

Invested Relationships

Fiscal Prudence

Candid Conversations

 

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 23,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

 

WHAT YOU’LL DO: 

  • Fine-tune and train SLMs using Hugging Face, TRL, and adapter methods (LoRA, QLoRA, PEFT)
  • Optimize models for inference via quantization, pruning, and knowledge distillation
  • Deploy models to edge devices, mobile, and local servers with strict latency targets
  • Build end-to-end MLOps pipelines from data ingestion to deployment
  • Monitor model accuracy, latency, and hardware utilization in production
  • Evaluate model quality using benchmarking frameworks and custom evaluation suites

YOUR QUALIFICATIONS:

  • SLM Development & Fine-tuning: Train and fine-tune SLMs using Hugging Face and Knowledge on Adaptors.
  • Model Optimization: Apply quantization, pruning, knowledge distillation, and optimization for lightweight, efficient models.
  • Edge Deployment: Deploy models to edge devices, mobile, and local servers, etc.
  • Pipeline Engineering: Build end-to-end MLOps pipelines — from data ingestion to deployment.
  • Performance Monitoring: Track model accuracy, latency, and CPU/GPU usage in production.

Good to have

  • Deployment experience on edge or mobile environments
  • Knowledge of ONNX export and cross-platform inference
  • MLOps tooling — experiment tracking, model registries, CI/CD for ML

EQUAL EMPLOYMENT OPPORTUNITY

At Egnyte, we celebrate our unique differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and inclusion across our diverse workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of [email protected]. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact [email protected]. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.

Similar Jobs

2 Days Ago
Remote
India
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.
Top Skills: AirflowAWSAzureAzure MlBigQueryCi/CdDaskDatabricksDockerFaissGCPGitGoHugging FaceJavaKafkaKubernetesLangchainLlamaindexMlflowNeo4JNumpyPandasPgvectorPineconePrefectPytestPythonPyTorchSagemakerScalaSnowflakeSparkSQLTensorFlowTerraformTransformersVertex Ai
7 Days Ago
Remote
India
Senior level
Senior level
Food • Mobile
Design and build scalable data and AI infrastructure for production LLM applications. Responsibilities include developing RAG systems, embedding and vector retrieval pipelines, AI agents, LLM evaluation and observability frameworks, and batch or streaming data platforms using Databricks, Spark, Snowflake, Delta Lake, and Airflow. The role also involves optimizing distributed workloads, establishing data governance and quality practices, and partnering with engineering and product teams to productionize AI capabilities.
Top Skills: Ai AgentsApache AirflowSparkCi/CdDatabricksDatabricks Mosaic AiDatabricks Vector SearchDelta LakeEmbeddingsGenerative AiJavaKafkaLangchainLanggraphLlamaindexLlmsMlflowPineconePythonQdrantRagScalaSemantic SearchSnowflakeSpark Structured StreamingSQLUnity CatalogVector DatabasesWeaviate
8 Days Ago
Remote
Gujrat, IND
Senior level
Senior level
Edtech • HR Tech • Information Technology • Professional Services
Designs, develops, and deploys scalable AI/ML solutions involving generative AI, LLMs, RAG, NLP, computer vision, and AI agents. Responsibilities include model fine-tuning, prompt engineering, inference optimization, API and microservices development, cloud deployment, MLOps, model serving, lifecycle management, and vector database integration. The role also requires leading technical initiatives and mentoring team members.
Top Skills: APIsAWSAzureChromadbComputer VisionFaissGCPGenaiKerasLangchainLanggraphLlamaindexLlmsMicroservicesMlopsNlpOpencvPineconePythonPyTorchR-CnnRagTensorFlowTransformersWeaviateYolo

What you need to know about the Delhi Tech Scene

Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account