Project Leader
Axtria · Noida · onsite · Posted 64d ago
Undisclosed3–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Responsibilities: -
- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
- Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
- Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
- Good understanding of any of the cloud platform AWS, Azure or GCP
- Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
- Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.
- Should be able to mentor and guide mid to large sized teams under him/her
Job Requirements: -
- Strong experience on Spark with Scala/Python/Java
- Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment
- Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering
- Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus
Sourced from naukri
Skills
Scalakeraslanguage modelsConfluenceclusteringcloud platformgoogle cloud platformamazon web servicesNatural Language ProcessingNltkmatplotlibCollaboration ToolsAnalyticsPytorchPythonJira AtlassiancloudPandasNumpyJavaPharmaMicrosoft AzureGenerative AiGITArtificial IntelligenceMachine Learning
About Axtria
Axtria
Software Product
2.8k+
employees
2010
16 years old
Gurgaon/Gurugram, Haryana
India
About
Axtria provides cloud software and data analytics solutions to the life sciences sector, enhancing product commercialization and improving healthcare outcomes.
Industries
Software ProductInternetIT Services & Consulting
Employee ratings
783 reviews
2.8/ 5
Culture
2.6
Career growth
2.7
Work-life
2.6
Employees rate it well for
Work Life Balance200Senior Management101Salary94Learning88Work Culture84
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