AI / ML Engineer
4 hours ago
Navtech is looking for an AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions.
Responsibilities
- Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks.
- Clean, preprocess, and analyse large datasets to extract meaningful insights and features.
- Work closely with data engineers to develop scalable and reliable data pipelines.
- Experiment with different algorithms and techniques to improve model performance.
- Monitor and maintain production ML models, including retraining and model drift detection.
- Collaborate with software engineers to integrate ML models into applications and services.
- Document processes, experiments, and decisions for reproducibility and transparency.
- Stay current with the latest research and trends in machine learning and AI.
Requirements
- 1-3 years of hands-on experience in building and deploying ML models in real-world applications.
- Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularisation, etc.
- Experience working with Jupyter, pandas, NumPy, and visualisation libraries like Matplotlib or Seaborn.
- Familiarity with version control (Git) and basic software engineering practices.
- You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities
- You should have a master's degree /bachelor's (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium.
- Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc. )
- Have knowledge of GenAI prompting and hosting of LLMs.
- Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK).
- Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc. ).
- Have exposure to deep learning and neural network architectures.
- Have knowledge of REST APIs and how to serve ML models (e. g., Flask, FastAPI, Docker).
This job was posted by Manasa Ravoor from Navtech.
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