Machine Learning/ Artificial Intelligence

Exp: 3

3+ years relevant experience (areas mentioned in JD) in Software

development (BE/BTech or similar degree)

Immediate joiners are highly preferred

Python, Spark, Kafka, SQL, MLOps

Good in Problem Solving & Data Structures

Expertise in Deep Learning and Computer Vision

Expertise in Python, Pandas, TensorFlow / Pytorch

Comfortable with NLP

ML Engineering / MLOps

GCP/AWS/Azure Cloud, Docker/Kubernetes

Java (Spring) and/or Python programming

Bigdata technologies and automation

Experience Required: 3+ years relevant experience in following areas of Software development (BE/BTech or similar


Required Technical Job Skills:

• Strong knowledge in Python programming & libraries like Pandas, NumPy, etc

• Experience with GCP/AWS/Azure Cloud, Docker/Kubernetes and scale containerized apps

• Experience in Apache Spark or PySpark, Kafka

• Good knowledge in SQL Queries and any RDBMS DB.

• Understanding of CI/CD tools like Jenkins & SonarQube

• Implement & deploy models into production by leveraging MLOps best practices.

• Strong communication skills in a collaborative environment

• Experience in Big data technologies such as Hadoop,

• Experience in MLFlow & DVC

• Experience in working on ETL Jobs and building pipelines using UC4/Airflow.

Job Responsibilities:

• Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement inferencing pipelines and governance for ML/DL model lifecycle

• Collaborate with Data science & other dependent teams to design and implement the required solutions

• Participate in formal and informal code reviews to ensure code quality

• Actively contribute to the automated test suites to enable continuous integration

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