Data Scientist
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Must have
• 3–4 years of experience building AI/ML applications with strong Python and software engineering skills.
• Strong proficiency in Python.
• Hands-on experience with:
o Understanding of AI system design, evaluation, monitoring, and performance
optimization.
o Experience developing, deploying, and maintaining production AI
applications.
o Strong software engineering fundamentals, including clean code, modular design,
debugging, and testing.
o RAG architectures
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Good understanding of NLP concepts.
• Familiarity with API development and integration.
• Ability to work independently as well as in collaborative team environments.
Good to have
• Experience with vector databases such as Pinecone, Weaviate, FAISS, ChromaDB.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, and deployment pipelines.
• Exposure to fintech products, platforms, or domain-specific use cases.
Roles & Responsibilities
• Design scalable, reliable AI systems with a focus on production readiness, maintainability, and performance.
• Perform root cause analysis and debugging of AI pipelines to improve accuracy, consistency, and reliability.
• Develop automated evaluation, validation, and testing strategies for AI applications.
• Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules.
• Create and maintain RAG pipelines and AI agent frameworks.
• Perform data analysis, model evaluation, and performance optimization.
• Develop APIs and integrate AI solutions into existing products and platforms.
• Collaborate with cross-functional teams including engineering, and business stakeholders to define AI use cases and deliver solutions.
• Monitor, troubleshoot, and continuously improve deployed AI systems.
Job ID: 153372229
Skills:
.NET, bedrock , S3, Tensorflow, Lambda, Pytorch, Javascript, XGBoost, Python, AWS, Redshift, Sql, ECS, Machine Learning, Databricks, LangChain, Generative AI, LightGBM, Scikit-learn, EKS, SageMaker, Large Language Model, Athena, LlamaIndex
Skills:
business understanding , Pyspark, Data Management, Sql, Software Engineering, DevSecOps, Machine Learning Algorithms, Python, Open-Source Programming Languages, Predictive Models, Data Preprocessing, Recommendation Engines, Statistics, Deep Learning Models, Anomaly Detection Systems, Statistical Models, Ericsson Business Intelligence and Analytics Competence, Artificial Intelligence Systems, Cloud Development
Skills:
probability , Database Systems, Power Bi, Hypothesis Testing, Tableau, Sql, Gcp, Databricks, Azure, Python, AWS, cloud platforms, machine learning libraries, data visualization tools, R, Statistics
Skills:
Data Modeling, Tensorflow, Numpy, Pandas, MLops, Pytorch, Spark, Python, API-based model integrations, data transformations, data pipelines, scikit-learn, data quality management, Tool-using agents, CI CD, Retrieval-Augmented Generation, GenAI applications, Prompt orchestration, feature engineering, Agentic workflows, Evaluation frameworks, QA risk management, model monitoring
Skills:
snowflake , BigQuery, MLops, Microsoft Sql Server, Python, Sql, agentic AI frameworks, large language models, AI observability, Teradata, Retrieval-Augmented Generation
