Remote Machine Learning Engineer (Remote - India)

at Jobgether

Posted 1 day ago 2 applied

Description:

  • This position is for a Machine Learning Engineer at PairSoft, a rapidly growing tech company in India.
  • The role involves scaling and deploying ML and Generative AI solutions on cloud platforms to drive performance, efficiency, and automation.
  • Responsibilities include developing and scaling end-to-end MLOps pipelines, automating processes for model training, deployment, retraining, and monitoring to ensure stability in production.
  • The engineer will optimize compute, storage, and networking resources for scalable and efficient AI workloads.
  • The position requires leveraging cloud ML platforms such as Azure ML and Oracle OCI AI Services.
  • Integration of tools for observability, performance tracking, and system monitoring is also part of the job.
  • The engineer will test and iterate on GenAI deployment strategies to enhance performance and operational reliability.

Requirements:

  • A minimum of 3 years’ experience in MLOps, model deployment, and cloud-based AI infrastructure is required.
  • Candidates must hold a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Strong proficiency in Python for machine learning development and automation is essential.
  • Hands-on experience with cloud platforms, especially Azure and/or Oracle Cloud, is necessary.
  • Familiarity with MLOps tools like MLflow, Kubeflow, CI/CD, Docker, and Kubernetes is required.
  • Experience in monitoring, tuning, and scaling ML models in production environments is needed.
  • Excellent communication skills and the ability to collaborate across cross-functional teams are important.
  • A self-starter mindset, adaptable to new technologies and fast-paced challenges, is expected.
  • Experience with GenAI is a plus, though not required.

Benefits:

  • The position offers an opportunity to grow within a fast-scaling global tech company.
  • Employees will work with cutting-edge technology in a Microsoft Gold Partner environment.
  • The company promotes a people-first culture that values innovation, diversity, and employee well-being.
  • Comprehensive insurance coverage includes Group Mediclaim Insurance for employees, spouse, and up to 2 children (INR 4,00,000/year) and Group Personal Accidental Insurance (INR 10,00,000/year).
  • Career development support is provided, including company-paid, manager-approved learning opportunities.
  • A competitive referral bonus program is available.
  • Employees enjoy 29 paid leave days per year for a strong work-life balance.
  • Company-paid maternity leave is also offered.