AI/ML Engineer
Noida, Uttar Pradesh, India
- Remote-first
- Website
- @weekdayworks 𝕏
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Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of Weekday’s clients
Min Experience: 2 years
Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh
JobType: full-time
Requirements
About the Role:
We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite.
You’ll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications.
Key Responsibilities:
🔹 Model Development & Deployment
- Design, build, and train machine learning models to support core product features.
- Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges.
- Deploy models into production environments and monitor their performance.
🔹 Data Handling & Feature Engineering
- Collect, clean, preprocess, and analyze large volumes of structured and unstructured data.
- Engineer features that enhance model performance and align with product requirements.
- Ensure data quality and consistency across the pipeline.
🔹 Model Optimization
- Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.).
- Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning.
🔹 Collaboration & Integration
- Collaborate with backend and frontend teams to integrate AI/ML capabilities into products.
- Build APIs and services that expose ML models for consumption across applications.
- Work closely with data engineers and DevOps to deploy and scale ML pipelines.
🔹 Research & Innovation
- Stay updated on the latest trends, tools, and frameworks in AI/ML.
- Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting.
- Document methodologies, findings, and technical processes clearly.
Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
- 2+ years of hands-on experience in AI/ML model development and deployment.
- Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar.
- Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn.
- Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment.
- Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus.
- Knowledge of REST APIs and integration of ML models with applications.
- Excellent problem-solving and analytical skills.
- Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders.
Preferred (Nice to Have):
- Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Exposure to MLOps, model monitoring, or CI/CD pipelines.
- Familiarity with data versioning tools like DVC, MLflow, or Kubeflow.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure CI/CD Computer Science Computer Vision Data quality Deep Learning DevOps Docker Engineering Feature engineering GCP Keras Kubeflow Machine Learning Matplotlib MLFlow ML models MLOps Model deployment NLP NumPy Pandas Pipelines Python PyTorch Reinforcement Learning Research Scikit-learn Seaborn TensorFlow Unstructured data XGBoost
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