Senior Data Scientist and Machine Learning Engineer
16 hours ago
Job Title: Senior Data Scientist and Machine Learning Engineer
About Us
V-Patrol AI Private Limited is at the forefront of innovation in data analytics and machine learning. We harness the power of data and AI to create solutions that drive real-world impact, offering cutting-edge services across industries.
Job Description
We are seeking a skilled Senior Data Scientist and Machine Learning Engineer to join our team. You will play a crucial role in designing, building, and scaling systems that process large datasets and deploy machine learning models. This role requires a strong focus on data processing, machine learning, and AI to solve complex problems.
Key Responsibilities
- Design and implement machine learning models using Scikit-learn, TensorFlow, and/or PyTorch to turn raw data into intelligent systems.
- Deploy machine learning models to production environments, integrating them into our applications via APIs and ensuring continuous improvement through monitoring and retraining.
- Work with structured and unstructured data, utilizing tools like Pandas, NumPy, and Dask to clean, transform, and prepare data for analysis and model training.
- Collaborate with data scientists, engineers, and stakeholders to develop data-driven features and AI-powered solutions that directly address business challenges.
- Research and experiment with new algorithms, staying ahead of the curve by integrating new advancements into ongoing projects where applicable.
- Optimize machine learning models to ensure scalability, low latency, and high throughput in production environments.
Qualifications and Preferred Skills
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- 1-2 years of Python development experience, with a strong focus on data manipulation and machine learning.
- Proficiency in data processing libraries such as Pandas, NumPy, and Dask.
- Practical experience in implementing and deploying machine learning models using libraries like Scikit learn, TensorFlow, or PyTorch.
- Solid understanding of machine learning concepts, including supervised and unsupervised learning, feature engineering, and model evaluation.
- Familiarity with version control systems like Git.
- Familiarity with Flask or FastAPI for building and deploying RESTful APIs.
- Experience working with large-scale data processing frameworks like Apache Spark or Dask is a plus.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) to effectively communicate findings and model performance.
- Strong problem-solving skills and the ability to work with cross-functional teams to develop and deliver data-driven products.
Estimated Salary: ₹800000 - ₹1200000 per annum, depending on qualifications and experience.
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