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Senior Lead - ML Engineering
8-10 years
Hyderabad / Secunderabad, Gurgaon / Gurugram, Bangalore / Bengaluru
1 vacancy
Senior Lead - ML Engineering
Security and Intelligence Services (India)
posted 11d ago
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Key skills for the job
Job Description
- The Document Platforms and AI team has already delivered breakthrough products and significant business value over the last 3 years.
- In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.
- Be a part of a global company and build solutions at enterprise scale
- Collaborate with a highly skilled and technically strong team
- Contribute to solving high complexity, high impact problems
- 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
- Technical leadership: Drive the technical vision and architecture for the extraction project, making key decisions about model selection, infrastructure, and deployment strategies.
- 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.
- 8-10 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 (eg, 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 (eg 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
- Core Java 17+, preferably Java 21+, and associated toolchain
- Apache Avro
- Apache Kafka
- Other JVM based languages - eg Kotlin, Scala
Employment Type: Full Time, Permanent
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