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Sr ML Engineer

ConfidentialBengaluru / Bangalore

30+ days ago

Job description

Should have total 4-7 Yrs of experience in Machine Learning Engineering

Strong on programming languages like Python, Java

Must have one cloud hands-on experience (GCP preferred)

Must have : Experience working with Dockers

Must have : Environments managing (e.g. venv, pip, poetry, etc.)

Must have : Experience with orchestrators like Vertex AI pipelines, Airflow, etc

Must have : Understanding of full ML Cycle end-to-end

Must have : Data engineering, Feature Engineering techniques

Must have : Experience with ML modelling and evaluation metrics

Must have : Experience with Tensorflow, Pytorch or another framework

Must have : Experience with Models monitoring

Good to have : Hyperparameter tuning experience

Proficient in either Apache Spark or Apache Beam or Apache Flink

Must have : Advance SQL knowledge

Must be aware of Streaming concepts like Windowing, Late arrival, Triggers etc

Should have hands-on experience on Distributed computing

Should have working experience on Data Architecture design

Should be aware of storage and compute options and when to choose what

Should have good understanding on Cluster Optimisation / Pipeline Optimisation strategies

Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources)

Should have Business mindset to understand data and how it will be used for BI and Analytics purposes

Should have working experience on CI / CD pipelines, Deployment methodologies, Infrastructure as a code (e.g. Terraform)

Good to have, Hands-on experience on Kubernetes

Good to have Vector based Database like Qdrant

Good to have : LLM experience (embeddings generation, embeddings indexing, RAG, Agents, etc.)

Experience in Working with GCP tools like :

Storage : CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database
Ingest : Pub / Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services
Schedule : Cloud Composer, Airflow
Processing : Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink
CI / CD : Bitbucket+Jenkins / Gitlab, Infrastructure as a tool : Terraform

Gcp, Pytorch, Apache Beam, Tensorflow, Machine Learning, Apache Spark, Python, Java, Docker

Skills Required

Apache Spark, Python, Machine Learning, Gcp, Tensorflow, Docker

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Ml Engineer • Bengaluru / Bangalore