Senior AI/ML Developer

7 days ago

Thāne, Maharashtra, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000
Job Description">

AI/ML Engineer – Senior Consultant

The position entails becoming a key member of the Data Science and AI Competency Center, working in the AI Engineering team. The primary duties involve developing high-performing, scalable, enterprise-grade ML/AI applications in cloud environments.

Key responsibilities include:

  • Building efficient ML/AI applications using cloud infrastructure.
  • Collaborating with cross-functional teams to implement Machine Learning models in production.
  • Implementing innovative automation solutions for scalability and efficiency.
  • Designing, delivering, and managing industrialized processing pipelines.
  • Defining and implementing best practices throughout the ML models lifecycle and operations.
  • Implementing AI/MLOps frameworks and supporting Data Science teams in adopting best practices.
  • Gathering knowledge on modern techniques, tools, and frameworks in ML Architecture and Operations.
  • Providing technical guidance on ML projects, defining tasks, guidelines, and evaluating results.
  • Creating detailed technical documentation.
  • Supporting junior engineers' growth and development.

Required Skills and Qualifications

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Must-Have Skills

  • Good understanding of ML/AI concepts, including algorithm types, machine learning frameworks, model efficiency metrics, model lifecycle, and AI architectures.
  • Strong familiarity with Cloud concepts and architectures, along with working knowledge of selected cloud services, preferably GCP.
  • Experience in programming ML algorithms and data processing pipelines using Python.
  • At least 6-8 years of experience in developing production-ready code.
  • Experience in designing and implementing data pipelines.
  • Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks.
  • Excellent communication skills.
  • Ability to work collaboratively and support others.
  • Taking responsibility for tasks and deliverables.
  • Great problem-solving skills and critical thinking.
  • Fluency in written and spoken English.

Nice-to-Have Skills

  • Practical experience with other programming languages, such as PySpark, Scala, R, or Java.
  • Hands-on experience with tools like AirFlow, ADF, or Kubeflow.
  • Good understanding of CI/CD and DevOps concepts, along with experience working with selected tools, preferably GitHub Actions, GitLab, or Azure DevOps.
  • Experience applying and/or defining software engineering best practices.
  • Experience productizing ML solutions using technologies like Docker/Kubernetes.

Benefits

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We Offer

  • Stable employment with a global presence.
  • 100% remote work opportunities.
  • Flexibility regarding working hours.
  • Comprehensive online onboarding program with a dedicated buddy from day one.
  • Cooperation with top-tier engineers and experts.
  • Internal Gallup Certified Strengths Coach to support your growth and development.
  • Unlimited access to the Udemy learning platform from day one.
  • Certificate training programs.
  • Upskilling support through capability development programs, competency centers, knowledge sharing sessions, community webinars, and 110+ training opportunities annually.
  • Grow with the company: 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work, trusting your ideas.
  • Plenty of opportunities to donate to charities and support the environment.

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