Reporting Structure

The role is part of Research and Innovation vertical.

Job Description

We are looking for a Data Engineer to analyse large amount of raw information to find patterns, build data products and models to extract valuable business insights.

The incumbent should possess excellent analytical skills and proficiency in mathematics and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

Experience in machine-learning and research to create artificial intelligence solutions, machine learning models and retraining systems with real world data.

Education

BSc/BA/BE/BTech/MCA in Computer Science, Engineering or Mathematics or Statistics or relevant field; graduate degree in Data Science or other quantitative field is preferred

Relevant Master’s degree preferred

Experience

2-4 years of relevant industry experience

Industry

Information Technology/BSFI

Responsibility

• Identify valuable data sources and automate collection processes
• Undertake Data wrangling and cleaning
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and Machine Learning algorithms
• Research and implement appropriate ML algorithms and tools
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Create and maintain optimal data pipeline architecture
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and Machine Learning algorithms
• Research and implement appropriate ML algorithms and tools
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Create and maintain optimal data pipeline architecture
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Should have business understanding:

• Project management
• Data landscape understanding
• Solution conceptualization
• Understanding of business context
• Business benefit estimation
• Change management

• Interaction with senior leaders and business stakeholders

Skills and Qualifications

1. Proven industry experience as a Data Science and Machine Leaning Engineer
2. Should have practical hands-on experience in delivering 2 to 4 projects in AI/ML/Analytics projects preferably in BFSI domain
3. Experience on Major machine learning algorithms (such as Linear Regression, Logistic Regression, Classification and Regression Trees (CART), Naïve Bayes, KNN, Apriori, K-means, Principal Component Analysis (PCA), Bagging with Random Forests, Bagging with Random Forests)
4. Understanding of data structures, data modeling, data mining and software architecture
5. Deep knowledge in mathematics and statistics or operation research.
6. Hands-on experience in Python or R, SQL and/or NoSQL databases; familiarity with Scala, Java or C++ is an asset
7. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch/PyChamp/Kite) and libraries (like scikit-learn)
8. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Spark, Kafka, etc.) would be a plus
9. Image Processing Knowledge would be a plus
10. Should have NLP experience
11. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
12. Automation of machine learning model development processes
13. Outstanding analytical and problem-solving aptitude
14. Excellent communication and presentation skills
15. Industry certifications and fulltime of minimum 1 year course from reputed institute