Advanced Software Development Professional

2 days ago

Bengaluru, Karnataka, India beBeeSoftware Full time ₹ 1,80,00,000 - ₹ 2,34,00,000
Job Description

We are seeking a seasoned software engineer to join our agile team as a trusted member who will design and deliver market-leading technology products in a secure, stable, and scalable way.

  • You will set direction, develop, and implement machine learning (ML) and generative AI (GenAI) driven solutions.
  • Develop codes and automations to provision and manage cloud infrastructure and services required for model serving and inferencing.
  • Create pipelines for model and pipeline deployment and execute them for continuous integration/continuous delivery (CI/CD) process.
  • Deploy and manage the machine learning platform and its features in production.
  • Be responsible for the stability, reliability, security, and production run books of the machine learning solution in production.
  • Register model artifacts, maintain code coverage, implement functional and non-functional tests in the pipeline, and maintain CI/CD frameworks.
  • Collaborate with ML engineers, product managers, key business stakeholders, engineering, and platform partners to deploy projects that deliver cutting-edge ML-driven digital solutions.
  • Communicate and collaborate with platform and engineering partners to bring in the latest advancements to improve the scale, consistency, reliability, and trustworthiness of the ML solutions.
Required Skills and Qualifications
  • Formal training or certification on software engineering concepts and 3+ years of applied experience.
  • Proven experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock.
  • Proven experience with MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
  • Demonstrated expertise in deploying solutions involving ML frameworks: TensorFlow, PyTorch, PyG, Keras, and Scikit-Learn.
  • Expert skill in system monitoring tools like Apica, Dynatrace, Grafana, etc.
  • Expert skill in CI/CD tools like Jenkins, Spinnaker, Git, Bitbucket, etc.
  • Expert in Infrastructure as Code frameworks i.e., Terraform, EaC (Environment as Code).
  • Proficiency in programming languages such as Python or Java, etc.
  • Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), containerization technologies (Docker, Kubernetes, Amazon EKS, ECS).
  • Working proficiency in one of the end-to-end Machine Learning framework or tool i.e., MLFlow, Kubeflow, SageMaker Studio, Databricks, etc.
Preferred Skills and Qualifications
  • Good understanding of AI/ML algorithms and techniques, including deep learning, reinforcement learning, and natural language processing (NLP).
  • Experience with Kubernetes-based platforms for Training or Inferencing.
  • Experience of building and managing large-scale feature stores.
  • Proficiency in writing comprehensive test cases, with a strong emphasis on using testing frameworks such as pytest to ensure code quality and reliability.
  • Understanding of finance or investment banking businesses is an added advantage.

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