AI / ML Engineer

Mployee.me

Delhi

Vor Ort

INR 2.000.000 - 4.000.000

Vollzeit

Vor 9 Tagen

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Zusammenfassung

Mployee.me in Delhi is seeking an AI/ML Engineer with 4–7 years of hands-on experience to design, train, and optimize models for text summarization, image matching, and speech recognition.

You will build feature pipelines, run experiments, and collaborate with data scientists to deploy AI components in production, while upholding Responsible AI and data protection norms.

Qualifikationen

  • 4–7 years hands-on AI/ML model development and fine-tuning.
  • Experience in NLP, computer vision, or predictive analytics projects.
  • Experience deploying AI solutions using open-source or cloud frameworks.
  • Strong programming in Python with ML libraries.

Aufgaben

  • Develop, train, and optimize AI/ML models for text summarization, image matching, and speech recognition.
  • Implement feature engineering pipelines and data pre-processing modules.
  • Conduct experiments and document results to improve accuracy and latency.
  • Collaborate with Data Scientists and Engineers to deploy AI models in production.
  • Perform error analysis and debugging to improve model stability.
  • Ensure outputs comply with Responsible AI guardrails and data protection norms.
  • Support integration of AI components into existing government applications.
  • Utilize tools like Docker, SageMaker, and MLflow for production workflows.

Kenntnisse

Python
Pandas
SQL

Ausbildung

B.Tech/M.Tech in Computer Science/AI/Data Science
Professional certification in ML/DL
Research papers / open-source contributions

Tools

PyTorch
TensorFlow
Keras
Hugging Face
OpenCV
spaCy
Transformers
Docker
SageMaker
MLflow
Git

Jobbeschreibung

Job Description

Designation: AI / ML Engineer Educational Qualification:

  • B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.
  • Professional certification in machine learning or deep learning preferred.
  • Research papers, case studies, or significant open-source contributions(are prefered)
  • Experience:
  • 4—7 years of hands-on experience in developing and fine-tuning AI/ML models.
  • Practical exposure to NLP, computer vision, or predictive analytics projects.
  • Demonstrated experience in implementing AI solutions using open-source or cloud
  • frameworks. Key Responsibilities: 1. Develop, train, and optimize AI/ML models for various use cases such as text 2. summarization, image matching, and speech recognition. 3. Implement feature engineering pipelines and data pre-processing modules. 4. Conduct experiments and document results to improve model accuracy and latency. 5. Collaborate with Data Scientists and Engineers to deploy AI models in production. 6. Perform error analysis and debugging to improve model stability. 7. Ensure model outputs comply with Responsible AI guardrails and data protection norms. 8. Support integration of AI components into existing government applications. Technical Competencies:
  • Programming Languages: Python, CH, R.
  • Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.
  • Libraries: pandas, NumPy, OpenCV, spaCy, Transformers.
  • Data Handling: SQL, NoSQL, data augmentation techniques.
  • Cloud & Tools: Docker, SageMaker, MLflow, Git.
  • Evaluation Metrics: Fl, BLEU, ROUGE, AUC, precision-recall curves.
Required Skills

['Python', 'Pandas', 'SQL']

Additional Information

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