Technical Lead - Agentic AI

Prodapt Solutions

10 - 15 years

13 - 17 Lacs

chennai

Posted:2 days ago| Platform:

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Skills Required

nltk python software development django opencv algorithms css scikit-learn numpy sql deep learning spacy data science gcp linux pytorch html scipy frontend development microsoft azure machine learning javascript nosql pandas dask flask aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch
Experience with popular Python frameworks such as Django, Flask or Pyramid
Knowledge of data science and machine learning concepts and tools
A working understanding of cloud platforms such as AWS, Google Cloud or Azure
Contributions to open-source Python projects or active involvement in the Python community
Experience with front-end development using HTML, CSS, and JavaScript
Familiarity with database technologies such as SQL and NoSQL
Excellent problem-solving ability with solid communication and collaboration skills
Analyzing the ML algorithms that could be used to solve a given problemVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededFinding available datasets online that could be used for trainingDefining validation strategies
Defining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome them
Deploying models to productionProficiency with a deep learning frameworkProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCV
Familiarity with LinuxAbility to select hardware to run an ML model with the required latency

Responsibilities

In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch
Experience with popular Python frameworks such as Django, Flask or Pyramid
Knowledge of data science and machine learning concepts and tools
A working understanding of cloud platforms such as AWS, Google Cloud or Azure
Contributions to open-source Python projects or active involvement in the Python community
Experience with front-end development using HTML, CSS, and JavaScript
Familiarity with database technologies such as SQL and NoSQL
Excellent problem-solving ability with solid communication and collaboration skills
Analyzing the ML algorithms that could be used to solve a given problemVerifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is neededFinding available datasets online that could be used for trainingDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given datasetDefining data augmentation pipelines
Training models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to productionProficiency with a deep learning framework
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latency

Requirements

In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch
Experience with popular Python frameworks such as Django, Flask or Pyramid
Knowledge of data science and machine learning concepts and tools
A working understanding of cloud platforms such as AWS, Google Cloud or Azure
Contributions to open-source Python projects or active involvement in the Python community
Experience with front-end development using HTML, CSS, and JavaScript
Familiarity with database technologies such as SQL and NoSQL
Excellent problem-solving ability with solid communication and collaboration skills
Analyzing the ML algorithms that could be used to solve a given problemVerifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is neededFinding available datasets online that could be used for trainingDefining validation strategiesDefining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelinesTraining models and tuning their hyperparametersAnalyzing the errors of the model and designing strategies to overcome themDeploying models to production
Proficiency with a deep learning frameworkProficiency with Python and basic libraries for machine learning such as scikit-learn and pandasExpertise in visualizing and manipulating big datasetsProficiency with OpenCVFamiliarity with LinuxAbility to select hardware to run an ML model with the required latency

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