- 경험
- 7년 이상
- 샐러리
- 연봉 1,000,000~2,000,000 루피
- 채용 공고
- 1
- 게시됨
- 3시간전
- 작업 모드
- 사무실에서
- 교육
- 졸업생 누구나
- 적임
- Any graduate can apply for this position.
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
About the Role
We seek an experienced Senior Data Scientist with deep expertise in machine learning, predictive analytics, and generative AI to create and maintain AI/ML solutions tailored for the banking and financial services sectors. The successful candidate will demonstrate proficiency in production-level model development within regulated contexts, emphasizing model governance, transparency, and operations.
Primary Responsibilities
- Design, construct, validate, and deploy advanced machine learning and predictive analytics models.
- Conduct extensive exploratory data analyses, perform feature engineering, and enhance model performance.
- Implement explainable AI methods using tools like SHAP and LIME alongside governance frameworks.
- Build and oversee machine learning pipelines leveraging platforms such as MLflow, Databricks, Kubeflow, or AWS SageMaker.
- Work closely with data engineering teams to enable model deployment, continuous monitoring, and drift detection.
- Develop generative AI and large language model (LLM) applications using Retrieval-Augmented Generation (RAG) frameworks targeted at automated document processing.
- Prepare documentation compliant with audit requirements and assist with model risk management and regulatory adherence.
- Communicate analytical insights and model results effectively to business stakeholders and leadership groups.
- Guide and mentor junior data scientists, ensuring adherence to best coding standards and rigorous experimentation protocols.
Required Qualifications & Skills
- Over 7 years in data science with a minimum of 3 years focused on deploying machine learning models in production environments.
- Proficiency in Python programming, utilizing libraries such as Scikit-learn, TensorFlow, PyTorch, and XGBoost; strong alternative experience in R is also considered.
- Solid grounding in statistical methodologies, including hypothesis testing, Bayesian inference, regression techniques, and time series analytics.
- Familiarity with MLOps platforms like MLflow, Databricks, Kubeflow, or SageMaker.
- Hands-on expertise in model explanation approaches (SHAP, LIME) and governance practices.
- Experience developing generative AI solutions, working with LLMs, prompt engineering, and RAG models.
- Exceptional communication skills and ability to manage relationships with business stakeholders.
Preferred Industry Experience
- Background in banking, financial services, or fintech domains.
- Knowledge of credit risk modeling, fraud detection, anti-money laundering (AML) processes, forecasting, and predictive analytics.
- Exposure to model risk management practices.
Additional Information
This role is based in Noida, India and working onsite is expected.
Educational Eligibility: Open to any graduates.
Salary Range: INR 1,000,000 to INR 2,000,000 per annum.