Data Scientist
- SP Software
- 5 - 9 years
- Bengaluru
- 5 months ago
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Job Description
SKILLS AND COMPETENCIES
Technical Skills:
Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
Experience with big data processing using Spark for large-scale data analytics
Version control and experiment tracking using Git and MLflow
Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.
LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
Experience in creating LLD for the provided architecture.
Experience working in microservices based architecture.
Domain Expertise:
Strong mathematical foundation in statistics, probability, linear algebra, and optimization
Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation
Expertise in feature engineering, embedding optimization, and dimensionality reduction
Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
Experience with RAG systems, vector databases, and semantic search implementation
Proficiency in LLM optimization techniques including quantization and knowledge distillation
Understanding of MLOps practices for model deployment and monitoring
Professional Competencies:
Strong analytical thinking with ability to solve complex ML challenges
Excellent communication skills for presenting technical findings to diverse audiences
Experience translating business requirements into data science solutions
Project management skills for coordinating ML experiments and deployments
Strong collaboration abilities for working with cross-functional teams
Dedication to staying current with latest ML research and best practices
Ability to mentor and share knowledge with team members
Primary Skill Set:
Microservices LLM, Agentic AI Framework, Predictive modelling
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: ContractContact Details:
Company: SP SoftwareLocation(s): Bengaluru
Keyskills: Machine Learning Microservices Agentic Ai Large Language Model Python Predictive Modeling Tensorflow Artificial Intelligence Natural Language Processing Deep Learning Numpy Pytorch Gen AI Gen GCP Pandas AWS Kubernetes
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SP Software
SP Software (P) Limited, a flagship of SP Group, is a leading enterprise business software and information technology (IT) Services company, providing IT Consulting, technology and outsourcing services. Founded in 1995, SPSoft is one of the fastest growing IT companies in India having strong strateg...
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