Urgent! Data Scientist ML Engineer Job Opening In Bengaluru – Now Hiring Digitap.ai
DIGITAP.AI is a cutting-edge provider of AI/ML solutions tailored for the modern, internet-driven business landscape.
Our advanced technologies empower businesses with reliable, fast, and fully compliant customer onboarding, automated risk management, and big data-enabled services, including Risk Analytics and Customised Scorecards.
Our proprietary machine learning algorithms and modules boast some of the highest success rates in the market.
Partnering with the largest digital lenders in India, our team is a vibrant mix of expertise in Fintech Product & Risk Management, Fraud Detection, and Big Data Analytics.
Culture and Benefits:
Innovative Start-up Environment: Enjoy the flexibility to design, implement, and influence the development of cutting-edge solutions.
Transparency and Meritocracy: We value clear communication, eschew politics, and promote an open culture where contributions are recognized and rewarded.
Ownership and Impact: We encourage team members to take ownership, think beyond their roles, and contribute to the company's success in meaningful ways.
Competitive Compensation : We offer a competitive salary and a potential equity package, aligning your success with the company's growth.
As a Data Scientist – Machine Learning , you will design and develop advanced ML models for credit scoring and risk assessment, while also leading research and innovation in large-scale transformer-based systems.
Credit & Risk Analytics : Design, develop, and optimize ML models for credit scoring, risk prediction, and scorecard generation.
Model Deployment & Automation: Implement scalable pipelines for model training, validation, and deployment in production environments.
Feature Engineering: Identify, extract, and engineer key features from structured and unstructured data to enhance model performance.
Model Monitoring : Establish continuous monitoring frameworks to track model drift, performance metrics, and data quality.
Research & Innovation: Explore and apply state-of-the-art ML and transformer architectures to improve predictive accuracy and interpretability.
Collaboration: Work closely with data engineers, product managers, and domain experts to translate business objectives into robust ML solutions .
Machine Learning: 2+ years of hands-on experience in developing, training, and deploying ML models for structured or tabular data.
Statistical Modeling: Solid understanding of statistical concepts, feature engineering, and model evaluation techniques.
ML Frameworks: Experience with scikit-learn , PyTorch , or TensorFlow for building and optimizing predictive models.
Python Programming: Strong proficiency in Python , with experience using NumPy , Pandas , and Matplotlib for data manipulation and analysis.
Data Handling: Practical experience with large datasets, data cleaning, preprocessing, and transformation for ML workflows.
SQL & APIs: Proficiency in writing SQL queries and integrating ML models with APIs or backend systems.
Version Control & Collaboration: Familiarity with Git and collaborative model development practices.
Analytical Thinking: Strong problem-solving skills with the ability to translate business problems into data-driven ML solutions.
Education: Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related quantitative field.
Experience: Min2 years of experience in machine learning , data analytics , or applied statistics roles.
Cloud Platforms: Exposure to AWS , GCP , or Azure for model deployment or data processing.
Domain Knowledge: Familiarity with fintech , credit risk , or business analytics domains.
Automation & MLOps: Basic understanding of model deployment , monitoring , or pipeline automation tools.
Continuous Learning: Enthusiasm for exploring new ML algorithms, open-source tools, and emerging technologies in data science.
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 152987 jobs in India and 12819 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Digitap.ai is currently hiring and seeking a Data Scientist ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist ML Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Digitap.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist ML Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist ML Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist ML Engineer interview at Digitap.ai, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Digitap.ai's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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