Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a leading provider of financial intelligence, data analytics, and AI-driven solutions, empowering businesses worldwide with insights for confident decision-making. Join to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets.

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.