Machine Learning Engineer

Chennai, Tamil Nadu, India

About the RoleWe are seeking a motivated Machine Learning Intern to contribute to the development and evaluation of practical AI systems across Machine Learning, Natural Language Processing, Generative AI, Speech Recognition, and Large Language Models (LLMs).

The role provides hands-on exposure to building AI pipelines, evaluating model performance, implementing validation mechanisms, and working collaboratively with engineering teams.

Key Responsibilities

Develop, test, and improve machine learning and AI pipelines.
Work with Speech-to-Text (STT), NLP, and Transformer-based models.
Perform audio, text, and structured data preprocessing.
Develop LLM-based information extraction and processing workflows.
Design structured outputs, validation rules, and error-handling mechanisms.
Conduct model evaluation, error analysis, and edge-case testing.
Prepare evaluation datasets and performance benchmarks.
Measure model performance using metrics such as WER, Accuracy, Precision, Recall, and F1-score.
Collaborate with backend and frontend engineers to integrate AI/ML components into applications.
Document experiments, findings, and model performance.Required Qualifications & Skills
Strong understanding of Machine Learning, Deep Learning, and NLP fundamentals.
Proficiency in Python.
Familiarity with PyTorch, TensorFlow, or scikit-learn.
Understanding of Transformers, LLMs, and Prompt Engineering.
Knowledge of data preprocessing and model evaluation techniques.
Familiarity with Git and GitHub.
Strong analytical, debugging, and problem-solving abilities.
Ability to learn independently and work effectively in a collaborative environment.Preferred Skills
Experience with Hugging Face or Automatic Speech Recognition (ASR).
Familiarity with LangChain or Ollama.
Experience with Pydantic and JSON Schema.
Basic knowledge of FastAPI and Docker.
Previous academic, personal, or research projects in AI/ML.
Interest or exposure to Healthcare AI and medical applications.What You Will Gain
Hands-on experience developing real-world AI/ML systems.
Exposure to production-oriented model evaluation and validation.
Practical experience with LLMs, NLP, Speech AI, and Generative AI.
Collaboration with engineering teams across ML, backend, and frontend development.
Experience working with modern AI development tools and frameworks.EligibilityStudents or recent graduates pursuing Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or related disciplines with a strong interest in Machine Learning and AI are encouraged to apply.

Location: Remote

Job Type: Internship

Machine Learning Intern

Job Type: Internship | Remote

The role provides hands-on exposure to building AI pipelines, evaluating model performance, implementing validation mechanisms, and working collaboratively with engineering teams.

Key Responsibilities

Develop, test, and improve machine learning and AI pipelines.
Work with Speech-to-Text (STT), NLP, and Transformer-based models.
Perform audio, text, and structured data preprocessing.
Develop LLM-based information extraction and processing workflows.
Design structured outputs, validation rules, and error-handling mechanisms.
Conduct model evaluation, error analysis, and edge-case testing.
Prepare evaluation datasets and performance benchmarks.
Measure model performance using metrics such as WER, Accuracy, Precision, Recall, and F1-score.
Collaborate with backend and frontend engineers to integrate AI/ML components into applications.
Document experiments, findings, and model performance.Required Qualifications & Skills
Strong understanding of Machine Learning, Deep Learning, and NLP fundamentals.
Proficiency in Python.
Familiarity with PyTorch, TensorFlow, or scikit-learn.
Understanding of Transformers, LLMs, and Prompt Engineering.
Knowledge of data preprocessing and model evaluation techniques.
Familiarity with Git and GitHub.
Strong analytical, debugging, and problem-solving abilities.
Ability to learn independently and work effectively in a collaborative environment.Preferred Skills
Experience with Hugging Face or Automatic Speech Recognition (ASR).
Familiarity with LangChain or Ollama.
Experience with Pydantic and JSON Schema.
Basic knowledge of FastAPI and Docker.
Previous academic, personal, or research projects in AI/ML.
Interest or exposure to Healthcare AI and medical applications.What You Will Gain
Hands-on experience developing real-world AI/ML systems.
Exposure to production-oriented model evaluation and validation.
Practical experience with LLMs, NLP, Speech AI, and Generative AI.
Collaboration with engineering teams across ML, backend, and frontend development.
Experience working with modern AI development tools and frameworks.EligibilityStudents or recent graduates pursuing Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or related disciplines with a strong interest in Machine Learning and AI are encouraged to apply.

Location: Remote

Job Type: Internship

#MachineLearning #ArtificialIntelligence #MLInternship #NLP #GenerativeAI #LLM #DeepLearning #SpeechRecognition #HealthcareAI #AIInternship

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