AI/ML Engineer

6 days ago

Indore, Madhya Pradesh, India Impetus Full time

Job Description-

ML Engineer:

  • Strong experience of at-least 2-3 years in Python.
  • 2 + years' experience of working on feature/data pipelines and feature stores using Py-Spark.
  • Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc.
  • Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice.
  • Knowledge on Docker and Kubernetes.
  • Experience with orchestration/scheduling tools like Argo.
  • Experience building and consuming data from REST APIs.
  • Demonstrable ability to think outside of the box and not be dependent on readily available tools.
  • Excellent communication, presentation and interpersonal skills are a must.

Py-Spark AWS Engineer:

  • Good hands-on experience of python and Bash Scripts.
  • 4+ years of good hands-on exposure with Big Data technologies – Pyspark (Data frame and Spark SQL), Hadoop, and Hive
  • Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. Glue, EMR, RedShift, S3, Kinesis)
  • Ability to write Glue jobs and utilise the different core functionalities of Glue.
  • Good understanding of SQL and data warehouse tools like (Redshift).
  • Experience with orchestration/scheduling tools like Airflow.
  • Strong analytical, problem-solving, data analysis and research skills.
  • Demonstrable ability to think outside of the box and not be dependent on readily available tools.
  • Excellent communication, presentation and interpersonal skills are a must.

Roles & Responsibilities-

  • Collaborate with data engineers & architects to implement and deploy scalable solutions.
  • Provide technical guidance and code review of the deliverables.
  • Play active role in estimation and planning.
  • Communicate results to diverse technical and non-technical audiences.
  • Generate actionable insights for business improvements.
  • Ability to understand business requirements.
  • Use case derivation and solution creation from structured/unstructured data.
  • Actively drive a culture of knowledge-building and sharing within the team
  • Encourage continuous innovation and out-of-the-box thinking.

Good To Have:

ML Engineer:

  • Experience researching and applying large language and Generative AI models.
  • Experience with Langchain, LLAMA Index, and Performance Evaluation frameworks.
  • Experience working with model registry, model deployment & monitoring tools.
  • ML-Flow / App. Monitoring tools.

Py-Spark AWS Engineer:

  • Experience in migrating workload from on-premises to cloud and cloud to cloud migrations.
  • Experience with Data quality frameworks.

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