Posted on: 24/04/2026
Description :
- Clean, preprocess, and analyze 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.
Who Are We Looking for Exactly? :
- 1 to 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, regularization, etc.
- Experience working with Jupyter, pandas, NumPy, and visualization 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 masters degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium.
Well REALLY love you if you :
- 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).
Why Navtech?
- Performance review and Appraisal Twice a year.
- Competitive pay package with additional bonus & benefits.
- Work with US, UK & Europe based industry renowned clients for exponential technical growth.
- Medical Insurance cover for self & immediate family.
- Work with a culturally diverse team from different geographies.
About us :
Did you find something suspicious?
Posted by
Pragati Patil
Talent Acquisition Specialist at Navaratan Technologies Private Limited
Last Active: 1 May 2026
Posted in
AI/ML
Functional Area
ML / DL Engineering
Job Code
1631070