BENGALURU · FULLTIME
Advanced Data Scientist
Sparta Systems Inc.
Bengaluru · onsite · Posted 42d ago
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Undisclosed4–6 yrsfulltimeBengaluru
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Section · 01
About this role
Key Responsibilities
- Mathematical Formulation: Translate ambiguous business problems into mathematically sound framework objectives and optimisation targets.
- Production-Grade Engineering: Write clean, modular, and maintainable code using production-level design patterns to scale mathematical models.
- Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference.
- Deep Learning & Vision Development: Build, train, and fine-tune complex neural networks across text, audio, and visual modalities.
- Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed computing and robust cloud infrastructure.
Required Technical Skills & Competencies
1. Tooling, Libraries & Software Engineering
- Core Language: Advanced proficiency in Python with a strict adherence to Object-Oriented Programming (OOP) principles, clean coding standards, and design patterns.
- Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing, feature engineering, and baseline modelling.
- Deep Learning Frameworks: Core expertise in PyTorch (preferred) or TensorFlow for building, customizing, and training deep neural networks from scratch.
- Big Data Ecosystem: Experience with Apache Spark (PySpark) and the Hadoop Ecosystem (HDFS, Hive, MapReduce) for handling, transforming, and querying large-scale distributed datasets.
- Cloud Architecture: Experience building and deploying scalable machine learning applications on major cloud platforms ( AWS , Azure , or GCP ).
2. Core Mathematics & First-Principles ML
- Foundational Math: Solid foundation in Linear Algebra (eigenvalues, SVD, matrix decompositions), Multivariable Calculus (partial derivatives, gradients, Jacobians), and Probability Theory (Bayesian inference, probability distributions, expectation maximization).
- Machine Learning: In-depth understanding of standard Machine Learning algorithms (Trees, Boosting, SVMs, GMMs) with the ability to explain the underlying loss functions and optimizations mathematically.
- Deep Foundations: Thorough understanding of Multi-Layer Perceptrons (MLPs), mathematical derivation of backpropagation, hyperparameter initialization strategies (Xavier, He), optimization variants (Adam, RMSProp), and advanced regularization techniques (L1/L2, Dropout, Batch Normalization).
3. Advanced Natural Language Processing (NLP)
- Sequential Networks: Hands-on experience with sequence modeling, including Word Embeddings (Word2Vec, FastText), RNNs, LSTMs, and GRUs.
- Transformer Ecosystem: Deep structural knowledge of the Transformer architecture (Self-Attention math, Multi-Head mechanisms).
- Pre-trained NLP Models: Experience implementing and fine-tuning encoder-only (BERT, RoBERTa) and decoder-only (GPT series) architectures.
4. Computer Vision (CV) & Document AI
- Spatial Networks: Deep understanding of Convolutional Neural Networks (CNNs), feature map mathematics, pooling operations, and advanced CV backbones.
- OCR & Document Processing: Proven track record building or customizing Optical Character Recognition (OCR) systems for complex text extraction pipelines.
- Vision Transformers: Familiarity with the adaptation of attention mechanics to visual tasks (ViTs, Swin Transformers).
Education & Experience
- Education: Bachelor s, Masters, or Ph. D. in a highly quantitative field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research).
- Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio of complex multimodal projects.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Apache SparkCloud Deploymentcoding standardsadamBERTCalculuscloud platformsApacheComputer Visionamazon web servicesCloud InfrastructureAlgebraBayesiancloudAlgorithmsArchitectureMicrosoft AzureCloud ArchitectureData PipelineBig DataArtificial Intelligence
Section · Company
About Sparta Systems Inc.
Sparta Systems Inc.
IT Services & Consulting
51-200
employees
1994
32 years old
Hamilton, New Jersey
United States (USA)
About
Leads in quality management software, facilitating compliance and operational efficiency for businesses across various industries globally.
Industries
IT Services & ConsultingHardware & NetworkingSoftware Product
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