4 - 9 years
15 - 30 Lacs
Posted:4 weeks ago|
Platform:
Hybrid
Full Time
Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals.
Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly.
For more information, visit www.axtria.com.
Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.
1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
4. Good understanding of any of the cloud platform – AWS, Azure or GCP
5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
6. 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.
7. Should be able to mentor and guide mid to large sized teams under him/her
1. Strong experience on Spark with Scala/Python/Java
2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment
3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering
4. 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
- B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 3+ years of proven experience in the field of Advanced Analytics or Machine Learning
OR
- Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience
-Health benefits
-Retirement benefits
-Paid time off
-Flexible Benefits
-Hybrid /FT Office/Remote
Who we are
Axtria 14 years journey
Axtria, Great Place to Work
Life at Axtria
Axtria Diversity
Axtria
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