Senior Data Scientist
- Posted 28 days ago
- Over 100 applicants have applied
Job Description
Role & responsibilities:
- Analyze structured and unstructured data to derive meaningful insights.
- Develop, implement, and evaluate predictive models and algorithms.
- Identify data-related challenges and opportunities.
- To get involved Cleaning, preprocessin, and transforming raw data for analysis.
- Stay updated with the latest trends in data science and machine learning.
- Should have hands on experience in Data Model development and Data Model Deployment.
- Should have experience in processing 1 TB of data volume
Preferred candidate profile:
- Proficiency in Python.
- 6-8 Years of experience
- Understand the RFP requirements, Product Requrirements to help the BCT Solution / Retina Presales team on the Solutioning Architecture , Data flow diagram in sync with the Scope of Work
- Strong knowledge of SQL and databases.
- Provide Data models for the various Solutions in line with the expectations of the Retina Consulting team.
- Have discussions to understand the process requirements, data sources, data quality and data availability
- Prepare a documentation on the modelling required with clear objectives, inputs and output and how the model can be utilized within Retina
- Justify the selection of the suitable modelling algorithms as relevant for the problem outlined by the Consulting team.
- Develop models with AI / ML in line with the documentation within the agreed period Demonstrate and fine tune the models as per expectations
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with big data tools such as Hadoop or Spark is a plus.
- Excellent problem-solving and communication skills.
Note:
- Work Hours: General
- Work Mode: Inperson / Work from office
- Location: Chennai
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Skills:
Python, FastAPI, Machine Learning, Api Development, Api Management, Oops, Jenkins, Gcp, Azure, AWS, Cloud Migration, Docker, Kubernetes, Terraform, GenAI, Llm, RAG, Embeddings, CI/CD, GitHub Actions, ML Platform Modernization, Vector Databases, Pinecone, FAISS, Chroma, IaC
Skills:
Data Science, Machine Learning, Numpy, Pandas, Python, Sql
Skills:
statistical concepts , Sql, Predictive Modeling, Neural Networks, Deep Learning, Decision Trees, Machine Learning, Clustering, Python, Model training, Data ingestion, Responsible AI, Explainable AI, Ai, Ensemble methods, Feature engineering
Skills:
RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks
Skills:
Pyspark, Scala, Sql, Tensorflow, MLops, Pytorch, Docker, Spark, Flask, Python, PEFT, CNNs, Transformers, RAG, Vision Transformers, Large Language Models