Python with Ml

6 days ago

Bengaluru Karnataka, India Boost Tech Full time

**Position Overview**:
**Key Responsibilities**:

- Design, develop, and deploy scalable recommender systems using popular machine learning algorithms such as collaborative filtering, matrix factorization, and deep learning techniques.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into actionable machine learning solutions.
- Conduct thorough exploratory data analysis to identify relevant features and patterns in large-scale datasets.
- Implement and optimize machine learning models for performance, scalability, and efficiency.
- Continuously monitor and evaluate model performance using relevant metrics and implement necessary improvements.
- Document code, methodologies, and experiment results for reproducibility and knowledge sharing purposes.

**Qualifications**:

- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field.
- 2 to 3 years of hands-on experience in developing machine learning models, with a focus on recommender systems.
- Proficiency in Python programming and popular machine learning libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of fundamental machine learning concepts including supervised and unsupervised learning, feature engineering, and model evaluation.
- Experience working with large-scale datasets
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and collaboration abilities, with the capacity to explain complex technical concepts to non-technical stakeholders.
- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.
- Working with **SQL** and NoSQL databases to store and retrieve training data.
- Writing efficient **ETL pipelines** to feed real-time and batch ML models using Apache Airflow.

**Preferred Qualifications**:

- Experience with cloud computing platforms such as AWS (Knowledge of Redshift, Athena, RDS, Spectrum).
- Familiarity with recommendation system evaluation techniques such as precision, recall, and AUC-ROC.
- Knowledge of natural language processing (NLP) techniques and text-based recommendation systems.
- Contributions to open-source machine learning projects or participation in relevant competitions (e.g., Kaggle) is a plus.
- MLOps & Deployment (Docker, Airflow).
- Cloud Platforms (AWS, GCP, Azure, SageMaker).

Pay: ₹1,400,000.00 - ₹1,500,000.00 per year

Application Question(s):

- Do you have experience with cloud computing platforms such as AWS (Knowledge of Redshift, Athena, RDS, Spectrum).
- Do you have Knowledge of natural language processing (NLP) techniques and text-based recommendation systems.
- MLOps & Deployment (Docker, Airflow).
- Cloud Platforms (AWS, GCP, Azure, SageMaker).

Work Location: In person

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