AI/ML Engineer

Pythian
India
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 4-5 yearsSkills: ["Communication","Teamwork"]

Design, develop, and implement AI and machine learning solutions, building robust AI/ML pipelines that integrate and optimize models including LLMs and generative AI. Deploy and scale pre-trained and custom models into production, collaborating with data scientists and software engineers to translate prototypes into reliable systems. Optimize model performance, latency, and cost on cloud platforms (AWS, GCP, Azure) using containerization and MLOps best practices including CI/CD, monitoring, and versioning.

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FursaFursa
Pythian
Pythian
1 day ago

AI/ML Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 51 minutes agoStatus: Live

Job Summary

Design, develop, and implement AI and machine learning solutions, building robust AI/ML pipelines that integrate and optimize models including LLMs and generative AI. Deploy and scale pre-trained and custom models into production, collaborating with data scientists and software engineers to translate prototypes into reliable systems. Optimize model performance, latency, and cost on cloud platforms (AWS, GCP, Azure) using containerization and MLOps best practices including CI/CD, monitoring, and versioning.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects.
  • •Deploy, manage, and scale AI models (including pre-trained LLMs and custom ML models) into production environments.
  • •Work with data scientists to implement model prototypes into scalable, production-ready AI systems.
  • •Optimize and tune model performance, latency, and cost-efficiency on cloud platforms.
  • •Integrate AI/ML solutions into applications and user workflows, coordinating with software engineering teams and applying MLOps practices (CI/CD, versioning, monitoring, and maintenance).

Pay and Benefits

Perks:Learning BudgetWellness StipendPaid LeaveSick DaysRemote WorkHome Office

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field.
  • •4 to 5 years of progressive experience in machine learning engineering or software development with an ML/AI focus.
  • •Strong programming skills in Python and proficiency with ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • •Experience deploying and working with pre-trained models (e.g., LLMs) and generative AI technologies in production environments.
  • •Hands-on experience with cloud platforms (AWS, GCP, Azure), Docker and Kubernetes, and practical MLOps practices (CI/CD, monitoring, and model versioning).
Experience:4-5 years
Education:
Skills:CommunicationTeamwork
Tech Stack:PythonTensorFlowPyTorchScikit-learnLarge Language Models (LLMs)Generative AIAWSGCPAzureDockerKubernetesETLELTGitKubeflowCI/CDMLOpsModel monitoringModel versioningLogging

Company Brief

Pythian
Provides data, cloud, and managed services to help organizations migrate, operate, and optimize analytics, databases, and cloud infrastructure across hybrid and multi-cloud environments.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Ottawa, Canada
Founded: 1997
WebsiteLinkedIn