Nallas Corporation - Senior Data Scientist - Machine Learning (5-10 yrs)

Job Description :

We are seeking a Senior Data Scientist/Machine Learning Engineer with a strong foundation in mathematics and advanced data science methodologies. This is a key role in shaping cutting-edge machine learning solutions while collaborating across diverse teams.

Key Responsibilities:

- Design, develop, and implement machine learning algorithms and models, including creating specifications, design documents, and prototypes.

- Optimize model performance with advanced tuning techniques and feature engineering.

- Lead brainstorming sessions for system architecture and feature design to ensure scalability and efficiency.

- Gather and document design requirements by interfacing with key stakeholders and external customers.

- Collaborate with Engineering, Data Science, Product, UX, Business Development, and Infrastructure teams.

- Uphold and promote best coding practices, including thorough documentation and peer reviews.

- Independently manage and complete complex projects with minimal supervision.

Required Qualifications:

- Master's degree in Data Science, Mathematics, or a related field.

- 5+ years of experience in Data Science, Machine Learning, or a similar domain.

- Expertise in linear algebra, statistics, and probability, with hands-on experience in statistical testing, regression, and deep learning techniques.

- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or MxNet.

- Experience with video processing, video codecs, and video management systems.

- Strong understanding of design patterns, algorithms, and data structures to deliver efficient solutions.

- Advanced development experience in Python and libraries like NumPy, Sci-Kit Learn, and Matplotlib.

- Proven track record of model performance tuning and deploying optimized machine learning models

Preferred Skills:

- Proficiency in creating scalable machine learning pipelines.

- Familiarity with industry standards for code optimization and debugging.

Education Requirements:

- Master's degree in Data Science, Mathematics, or a related discipline is mandatory.

Key Skills:

- Data Science, Machine Learning, TensorFlow, PyTorch, Deep Learning

- Expertise in Python, backend frameworks (Flask, FastAPI), and cloud platforms (AWS/Azure/GCP).

If you are a highly motivated professional with expertise in data science, a passion for mathematical problem-solving, and a drive to create impactful solutions, we'd love to have you on our team!