Job Summary:
- Data Scientist with good hands-on experience of 5+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job

Responsibilities:
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• 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:
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• Solid 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 Qualification:
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• 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
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• Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience Must have

Skills:
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• Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms
• Breadth of machine learning domain knowledge
• Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.)
• Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.)
• Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework) Skills that give you an edge:
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• Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background.

📌 Manager (Noida)
🏢 Axtria - Ingenious Insights
📍 Noida