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ML Engineer (NLP)

Bengaluru, Karnataka, India

306 Days ago

Job Description


This role is for one of the Weekday's clients

Min Experience: 2 years

Location: Bangalore

JobType: full-time

We are looking for a Machine Learning Engineer (NLP) who is passionate about solving complex problems, working with massive datasets, and transforming theoretical concepts into scalable, real-world solutions. You thrive in a collaborative yet autonomous environment where your ideas can make a significant impact. You are excited about leveraging Machine Learning, Natural Language Processing (NLP), Information Retrieval, and related AI technologies to push boundaries and drive innovation.

Requirements

Key Responsibilities
  • Design, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems.
  • Implement advanced ML algorithms, including Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems , to enhance AI performance.
  • Process and analyze large, complex datasets (structured, semi-structured, and unstructured) to inform model development.
  • Own the end-to-end ML model lifecycle , including problem definition, data exploration, feature engineering, model training, validation, and deployment .
  • Conduct A/B testing and apply statistical methods to validate model effectiveness.
  • Develop automated testing and validation processes to ensure model integrity and robustness.
  • Collaborate with both technical and non-technical stakeholders to clearly communicate model insights and benefits.
Qualifications & Skills Education & Experience
  • Master's or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Proven industry experience in developing and deploying production-grade ML models .
Technical Skills
  • Strong expertise in Natural Language Processing (NLP) , including training and inference of large language models .
  • Deep understanding of retrieval, ranking, reinforcement learning, and agent-based systems , with experience in building large-scale implementations.
  • Proficiency in Python and hands-on experience with ML libraries such as TensorFlow or PyTorch .
  • Strong data processing skills ( SQL, ETL, data warehousing ) and experience working with large-scale data systems .
  • Familiarity with MLOps principles , ML lifecycle management tools, and cloud platforms like GCP or Azure .
  • Up-to-date knowledge of machine learning research trends and the ability to apply them in practical applications.
  • Solid understanding of software development principles, data structures, and algorithms .
Soft Skills
  • Problem-solving mindset , strong attention to detail, and logical thinking.
  • Ability to work collaboratively in a fast-paced startup environment while taking ownership of key initiatives.

Key Skills Required

SQLSoftware DevelopmentPythonA/B TestingAlgorithmsAzureData ProcessingAttention to DetailComputer ScienceDesignDevelopmentEffectivenessExplorationInnovationLearningLifecycle ManagementMachine LearningManagementModel DevelopmentNatural Language ProcessingOwnershipPassionatePracticalPyTorchReasoningReinforcementReinforcement LearningResearchRobustnessScienceSoft SkillsStatistical MethodsTensorFlowTrainingTransformerValidation

Job Overview


Job Function: Other

Job Type: Full Time

Workplace Type: Not Specified

Experience Level: Associate

Salary: Competitive & Based on Experience

Experience: 0 - 0 yrs

Contact Information


Company Name: Weekday AI

Recruiting People: HR Department

Website: https://www.weekday.works

Location

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