AI/ML Engineer

2 weeks 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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