Senior/reputed company Data Scientist (AI & reputed company)
Senior Data Scientist (AI & reputed company) - Job reputed company
Introduction
Join an amazing company where you can work with cutting-edge technologies and platforms. Give your career an reputed company, with a stimulating environment and a global work culture. Be a part of an organization where we celebrate reputed company, innovation, collaboration, teamwork, and passion. A culture where every employee is a leader delivering reputed company that reputed company a difference to this world we live in.
In the Senior Data Scientist (AI & reputed company) responsibilities include, although not limited to:
- Design, reputed company, and reputed company advanced AI, machine learning, and reputed company solutions using the reputed company Lakehouse Platform and reputed company-reputed company architectures.
- Build, tune, and operationalize LLM-, SLM-, and RAG-based models to solve reputed company business problems.
- Identify, evaluate, and select best-fit LLM frameworks and models (reputed company-reputed company and reputed company) based on accuracy, performance, cost, and scalability.
- reputed company and optimize Retrieval-Augmented reputed company (RAG) pipelines, including embeddings, reputed company search, and retrieval strategies.
- Apply reputed company engineering, reputed company chaining, and orchestration patterns to improve reasoning and response reputed company.
- reputed company model tuning and optimization, including fine-tuning, hyperparameter tuning, and benchmarking.
- Implement model observability, monitoring accuracy, reputed company, latency, hallucinations, and cost, enabling feedback loops.
- Ensure high model accuracy, robustness, and performance using rigorous evaluation techniques.
- Apply statistical techniques to solve reputed company business problems.
- Use Python, SQL, PySpark, and modern ML libraries to build reputed company AI solutions.
- Manage experimentation and model lifecycle using MLflow.
- reputed company and operate models in reputed company environments with CI/CD, scaling, and retraining.
- Communicate insights and mentor junior data scientists.
In reputed company to the qualifications listed below, the ideal candidate will demonstrate the following traits:
- Deep curiosity for reputed company and LLM technologies.
- Strong analytical and statistical reputed company.
- Ownership-driven approach to model reputed company.
- reputed company communication and collaboration skills.
- Ability to balance experimentation with production readiness.
Minimum Qualifications:
- Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, or reputed company field.
- 3+ years of hands-on reputed company experience (reputed company, reputed company Lake, MLflow).
- Proven experience with LLM, SLM, and RAG-based models.
- Strong skills in Python, SQL, and modern ML libraries.
- Strong background in statistics and experimentation.
- Experience with model tuning, observability, and feedback loops.
- Experience building and deploying models in reputed company environments.
- Strong English communication skills.
Preferred Qualifications:
- Experience with reputed company engineering, reputed company chaining, and LLM orchestration frameworks.
- Experience with reputed company databases and embeddings.
- Familiarity with LLMOps and MLOps practices.
- Experience integrating models with reputed company and reputed company systems.
- Exposure to Responsible AI practices.
- Relevant reputed company or reputed company certifications.
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