Information Technology
Full-Time
Avenir Digital Inc
Overview
Job Title : Machine Learning Engineer / Data Scientist (NLP & Gen AI)
Location : Delhi, Mumbai, Hyderabad, Chennai
Experience : 4+ years
Employment Type : Full-time
Job Description
We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making.
Key Responsibilities
Location : Delhi, Mumbai, Hyderabad, Chennai
Experience : 4+ years
Employment Type : Full-time
Job Description
We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making.
Key Responsibilities
- Develop and deploy ML models, focusing on NLP and Generative AI applications.
- Design and evaluate ML algorithms using appropriate evaluation metrics.
- Optimize data pipelines and perform data preprocessing using Pandas and other Python libraries.
- Implement and test Python-based ML applications with a focus on code quality and performance.
- Conduct model training, hyperparameter tuning, and performance benchmarking.
- Collaborate with cross-functional teams to integrate ML solutions into real-world applications.
- Stay updated with the latest AI/ML advancements and implement best practices.
- NLP & Generative AI : Experience with transformers, LLMs, and language modeling techniques.
- Machine Learning Concepts : Strong understanding of algorithms and evaluation metrics.
- Python Development : Expertise in code testing, debugging, and optimization.
- Data Science & Pandas Operations : Ability to manipulate and analyze structured/unstructured data.
- ML Model Deployment : Experience with model serving, API development, or cloud platforms is a plus.
- Version Control & CI/CD : Familiarity with Git, Docker, and ML workflow automation.
- Experience with Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of LLMs, embeddings, and fine-tuning pre-trained models.
- Understanding of MLOps and cloud-based ML solutions (AWS, GCP, Azure).
- Ability to write clean, maintainable, and efficient code.
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