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Lead - ML Engineering

4-9 years

Hyderabad / Secunderabad, Gurgaon / Gurugram, Bangalore / Bengaluru

1 vacancy

Lead - ML Engineering

Security and Intelligence Services (India)

posted 12d ago

Job Role Insights

Flexible timing

Job Description

  • The Document Platforms and AI Team has delivered breakthrough AI-powered solutions that have significantly influenced business outcomes over the past three years.
  • In this role, you will contribute to the next generation of AI-driven products, enhancing and optimizing existing solutions while developing new capabilities.
What s in it for you:
  • Be part of a global enterprise and build AI solutions at scale.
  • Work alongside a highly skilled and technically strong team.
  • Contribute to solving high-complexity, high-impact challenges in data transformation and machine learning.
Responsibilities:
  • Build production ready data acquisition and transformation pipelines from ideation to deployment.
  • Being a hands-on problem solver and developer helping to extend and manage the data platforms.
  • Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions
  • Model development: Design, develop, and evaluate state-of-the-art machine learning models for information extraction, leveraging techniques from NLP, computer vision (if applicable), and other relevant domains.
  • Data preprocessing and feature engineering: Develop robust pipelines for data cleaning, preprocessing, and feature engineering to prepare data for model training.
  • Model training and evaluation: Train, tune, and evaluate machine learning models, ensuring high accuracy, efficiency, and scalability.
  • Deployment and monitoring: Deploy and maintain machine learning models in a production environment, monitoring their performance and ensuring their reliability.
  • Research and innovation: Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the extraction process.
  • Collaboration: Work closely with product managers, data scientists, and other engineers to understand project requirements and deliver effective solutions.
  • Code quality and best practices: Ensure high code quality and adherence to best practices for software development.
  • Communication: Effectively communicate technical concepts and project updates to both technical and non-technical audiences.
What We re Looking For:
  • 4+ years of professional software work experience, with a strong focus on Machine Learning, Natural Language Processing (NLP) for information extraction and MLOps
  • Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face)
  • Experience with Apache Spark or other distributed computing frameworks for large-scale data processing.
  • AWS/GCP Cloud expertise, particularly in deploying and scaling ML pipelines for NLP tasks.
  • Solid understanding of the Machine Learning model lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring, specifically for information extraction models .
  • Experience with CI/CD pipelines for ML models, including automated testing and deployment.
  • Docker Kubernetes experience for containerization and orchestration.
  • OOP Design patterns, Test-Driven Development and Enterprise System design
  • SQL (any variant, bonus if this is a big data variant)
  • Linux OS (e.g. bash toolset and other utilities)
  • Version control system experience with Git, GitHub, or Azure DevOps.
  • Excellent Problem-solving, Code Review and Debugging skills
  • Software craftsmanship, adherence to Agile principles and taking pride in writing good code
  • Techniques to communicate change to non-technical people
Nice to have
  • Core Java 17+, preferably Java 21+, and associated toolchain
  • Apache Avro
  • Apache Kafka
  • Other JVM based languages - e.g. Kotlin, Scala

Employment Type: Full Time, Permanent

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What ml engineer at Security and Intelligence Services (India) are saying

What Security and Intelligence Services (India) employees are saying about work life

based on 1.3k employees
50%
45%
46%
94%
Flexible timing
Monday to Saturday
Within city
Day Shift
View more insights

Security and Intelligence Services (India) Benefits

Health Insurance
Job Training
Soft Skill Training
Free Transport
Team Outings
Education Assistance +6 more
View more benefits

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