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Ingenious Insights
1 month ago
Axtria, a global leader in cloud software and data analytics for the life sciences industry, is seeking an experienced Data Science Manager to join our team. As a key member of our organization, you will play a vital role in driving business growth and success by leveraging your expertise in machine learning and advanced analytics.
About Axtria
Axtria is a pioneering company that enables life sciences organizations to transform their product commercialization journey and deliver improved healthcare outcomes for patients worldwide. With a strong focus on delivering solutions that drive superior returns from investments, we are committed to aligning our strategies and operations with universal principles on human rights, labor, environment, and anti-corruption.
Key Responsibilities
- Develop and deploy state-of-the-art machine learning models using Python and common ML frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML, and OpenAI)
- Collaborate with large teams using collaboration tools like GIT, Jira, and Confluence
- Utilize cloud platforms such as AWS, Azure, or GCP to build and train ML models
- Mentor and guide mid to large-sized teams under your supervision
Requirements
- Strong experience with Spark using Scala/Python/Java
- Proficiency in building/training/evaluating ML models and its deployment
- Expertise in statistical and probabilistic methods (SVM, Decision-Trees, Bagging, and Boosting Techniques) and core NLP techniques (Text Classification, Named Entity Recognition, Topic Modeling, Sentiment Analysis)
- Familiarity with Generative AI/Large Language Models/Transformers is a plus
Qualifications
- B-Tech or BE in Computer Science/Computer Applications from a Tier 1-2 college with 8+ years of proven experience in advanced analytics or machine learning
- OR Master's degree in Machine Learning/Statistics/Econometrics from a Tier 1-2 college with 8+ years of experience
Skills
- Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms
- Breadth of machine learning domain knowledge
- Experience in applying ML algorithms (classification, regression, deep learning, NLP, etc.)
- Familiarity 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/Samsung Stack (or equivalent cloud-computing/map-reduce framework)
Benefits
- Estimated Salary: ₹2,500,000 per annum (depending on location and experience)
- Opportunity to work on challenging projects with diverse teams
- Vast opportunities for self-development through online courses, knowledge sharing, and external certifications
- Sponsored Tech Talks & Hackathons
- Possibility to relocate to any Axtria office for short and long-term projects
- Inclusive environment that encourages diverse perspectives and ideas