Lead Data Scientist (Gen AI)
- Tredence
- 8 - 12 years
- Pune
- 1 month ago
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Job Description
Job Location - Bengaluru/Gurugram/Pune/Chennai/Hyderabad/Kolkata
Job Description
- Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline)
- Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc.
- Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain)
- Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning
- Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models
- Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.
- Predictive modelling experience in Python (Time Series/ Multivariable/ Causal)
- Experience applying various machine learning techniques and understanding the key parameters that affect their performance
- Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs
- Excellent verbal and written communication
- Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects.
Roles & Responsibilities
- Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:
- Connect with internal / external POC to understand the business requirements
- Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis
- Create project plan and sprints for milestones / deliverables
- Spin VM, create and optimize clusters for Data Science workflows
- Create data pipelines to ingest data effectively
- Assure the quality of data with proactive checks and resolve the gaps
- Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms
- Research whether similar solutions have been already developed before building ML models
- Create optimized data models to query relevant data efficiently
- Run relevant ML / DL algorithms for business goal seek
- Optimize and validate these ML / DL models to scale
- Create light applications, simulators, and scenario builders to help business consume the end outputs
- Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively
- Integrate and operationalize the models in client ecosystem
- Document project artifacts and log failures and exceptions
- Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: TredenceLocation(s): Pune
Keyskills: Data Science Gen AI Python Prompt Engineering Langchain RAG LLM Retrieval Augmented Generation
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Tredence
Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The last mileis the gap between insight creation and value realization.Headquartered in San Jose, the company embraces a vertical-first approach and an ou
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