Data Science Manager
- Tredence
- 7 - 12 years
- Bengaluru
- 12 days ago
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Job Description
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 Python's 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
Required Skills
g, Pyspark, Python, SQL, Supervised ML, Transformer Models, Transformers, Unsupervised ML, GenAi
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Manager - Data ScienceEmployement Type: Full timeContact Details:
Company: TredenceLocation(s): Bengaluru
Keyskills: lora python data analysis natural language processing scikit-learn verbal communication dl pyspark time series numpy machine learning research sql pandas framework performance paper data science written communication communication skills architecture ml statistics
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