HAPPIES T
wait please

Job Information

  • Employee Type:

    Full Time
  • Contact Person:

    Ayushi Chouhan
  • Contact:

    91094 72707
  • Location:

    Bengaluru
  • Job Position:

    Devops Engineer
  • Experience

    9 to 10 Years
  • Qualifications:

    Bachelor Of Engineering - Bachelor Of Technology (B.E./B.Tech.)
  • Salary:

    ₹2500000 - ₹ 3000000
  • Date posted:

    26-Aug-25

Devops Engineer

Modernize Chip Solutions

Bengaluru

Job Description:

Job Description – Senior DevOps Engineer (ML/AI Focus)


Client: Wabtec

Location: Bangalore (BLR)

Experience: 10+ years

Open Positions: 3

Priority: High


About the Role We are looking for a highly skilled Senior DevOps Engineer with expertise in ML/AI and Cloud Platforms to join our team. The ideal candidate will have a strong background in software design, DevOps, and machine learning operations, along with hands-on experience in containerization, big data, and cloud technologies. Key Responsibilities- Design, implement, and optimize DevOps pipelines for ML/AI applications.- Develop solutions using Object-Oriented Analysis, Design Patterns, and Java coding principles.- Work with MLOps & Cloud Platforms (AWS SageMaker preferred).- Implement scalable solutions with Docker and Kubernetes.- Manage and optimize Elasticsearch for data indexing, search, and retrieval.- Apply ML/DL algorithms and leverage libraries such as TensorFlow, PyTorch, NumPy, Pandas.- Conduct feature engineering & exploratory data analysis using mathematical/statistical tools.- Handle data cleaning, preprocessing, and integration with databases.


Minimum Qualifications- Bachelor’s / Master’s degree in ECE / EEE / Computer Science / IT or equivalent.- 9–10 years of professional experience in software development & engineering.- Strong expertise in Python, Java, Struts, Hibernate, Spring Boot (Microservices).- Experience in React/Angular and Cloud/UI technologies.- Proven track record in applying ML & DL techniques.


Preferred Qualifications-


Knowledge of big data processing frameworks (Apache Kafka, Spark).- Understanding of Natural Language Processing (NLP) and LLMs. Why Join Us?- Opportunity to work on cutting-edge AI/ML and DevOps projects.- Be part of an innovative global engineering team. - Competitive compensation and career growth opportunities.