Manager

Axtria - Ingenious Insights; Gurugram District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Axtria - Ingenious Insights in India is seeking a Data Scientist with 5+ years of hands-on experience in building scalable ML models and bringing them into production. You will work on NLP, DL, and big-data pipelines using Python, PySpark, and cloud platforms.

Responsibilities include developing state-of-the-art models, evaluating techniques, and collaborating with large teams using Git, Jira, and Confluence to deliver timely results in a pharma/data analytics context.

Qualifications

• 5+ years of practical experience in developing ML/statistical/econometric models.
• Experience with Python, PySpark, and ML libraries (pandas, scikit-learn).
• Strong knowledge of NLP techniques (text classification, NER, topic modeling) and transformers.
• Hands-on with cloud platforms such as AWS, Azure, or GCP.
• Experience with Hadoop/Spark and distributed computing.
• Familiarity with version control and collaboration tools (Git, Jira, Confluence).
• Understanding Pharma landscape and patient data analytics is a plus.

Responsibilities

• Develop and deploy scalable ML models for production.
• Work with Python/PySpark on Databricks or Dataiku DSS environments.
• Leverage Spark with Scala/Python/Java for large-scale data processing.
• Build/train/evaluate state-of-the-art ML models and deployment.
• Apply NLP methods including NER, Sentiment, Topic Modeling; work with LLMs and transformers.
• Utilize NumPy, Pandas, scikit-learn, Seaborn, PyCaret, Matplotlib.
• Collaborate with teams using Git, Jira, Confluence; operate in cloud environments (AWS/Azure/GCP).
• Apply ML in Pharma/patient data analytics context.

Skills

Python

PySpark

Databricks

Spark

Scikit-learn

NLP

Transformers

NumPy

Pandas

Matplotlib

TensorFlow

PyTorch

Keras

GIT

Jira

Confluence

Cloud (AWS/Azure/GCP)

Education

BE/B.Tech

Tools

Databricks

Dataiku DSS

Hadoop / Spark

Spark

Job description

Job Description:

Position 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

• Necessary Skills–
• Experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plus
• 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 and experience with LLMs, LSTMs, GRUs, transformers. Familiarity with recommender systems, reinforcement learning.
• 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.
• Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Be able to notice and call out discrepancies and inconsistencies in information and materials.
• Task Management – Should have experience in task management and be able to plan self and team’s tasks. Should be able to proactively coarse-correct, basis the current priorities along with their tracking and progress report

Communication

Able to convey ideas and information clearly and accurately across forums/team in written or verbal

Education

BE/B.Tech

Work Experience

• 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)

Behavioural Competencies

• Teamwork & Leadership
• Motivation to Learn and Grow
• Ownership
• Cultural Fit
• Talent Management

Technical Competencies

• Problem Solving
• Lifescience Knowledge
• Communication
• Project Management
• Attention to P&L Impact
• Business development
• Capability Building / Thought Leadership
• Scale of revenues managed / delivered
• Scale of Resources Managed

Requirements