Machine Learning Engineering Manager
4 weeks ago
Talent Worx is a growing services & consulting firm, hiring for our client, a US-based global leader in the Capital Markets domain.
Job Title : Machine Learning Engineer.
Location : Gurgaon / Hyderabad.
Experience : 5-14 years.
Key Responsibilities :
- Design, build, and deploy scalable ML models for information extraction and NLP.
- Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Work with large-scale data processing frameworks (Apache Spark) to optimize ML solutions.
- Develop and maintain cloud-based data pipelines (AWS/GCP) for streaming and batch processing.
- Implement MLOps best practices including CI/CD pipelines, automated testing, and model monitoring.
- Deploy containerized ML applications using Docker and Kubernetes.
- Collaborate with data engineers, software developers, and product teams to integrate ML solutions.
- Stay updated on emerging ML, NLP, and AI trends to enhance models.
Qualifications & Skills :
- 5+ years of experience in Machine Learning, NLP, and MLOps.
- Strong expertise in Python and ML/NLP libraries (e.g, spaCy, NLTK, Transformers, Hugging Face).
- Experience with Apache Spark for large-scale data processing.
- Hands-on experience in cloud-based ML development (AWS/GCP).
- Strong understanding of data preprocessing, feature engineering, and model training.
- Proficiency in SQL (big data experience is a plus).
- Version control experience with Git, GitHub, or Azure DevOps.
- Excellent problem-solving, debugging, and optimization skills.
Nice to Have :
- Experience with LangChain for LLM-based applications.
- Knowledge of Core Java 17+ (preferably Java 21+), Apache Kafka, and Apache Avro.
- Exposure to JVM-based languages such as Kotlin or Scala.
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