Senior Data Scientist

Location: Gurugram 

Job Type: Full-time 

About Algoritt Consulting: 

Algoritt Consulting is a leading Business Consulting firm dedicated to delivering innovative, data-driven solutions for clients across industries. Our core expertise lies in Risk Management, where we provide comprehensive services including Credit Risk, Market Risk, Model Development, Validation, Monitoring, Risk Data Provisioning, and Risk Reporting.  

Beyond risk management, we specialize in AI/ML adoption in BFSI, Cloud migration, data engineering  and Strategic Business Consulting, offering tailored strategies to help organizations navigate complex challenges, optimize operations, and achieve their goals. At Algoritt, our mission is to empower businesses with actionable insights and transformative solutions. 

About the Role: 

We are looking for a highly skilled Senior Data Scientist who can build and deploy end-to-end machine learning solutions. You will work on diverse from data pre-processing and model development to scalable deployment. You should have expertise in the development and deployment of machine learning and AI models. Applicants should have thorough understandings of various ML algorithms and AI techniques. The role requires the proficiency in working on both structured and unstructured data. 

Key Responsibilities: 

• Develop and deploy ML model on structured data using algorithms like Logistic regression, SVM, KNN, Random Forest, XGBoost and LightGBM 
• Develop AI products using applications like NLP, computer vision, OCR, and GenAI 
• Theoretical understanding of Machine learning and deep learning algorithm is must 
• Should be able to work in the framework of Responsibale and Explainable AI 
• Familiar with basic building blocks of ML like Gardiant Descent, Bagging/boosting, attention mechanism 
• Utilize deep learning architectures like RNNs, CNNs, transformers, and autoencoders. 
• Implement and fine-tune models using Pytorch, TensorFlow, and Scikit-learn. 
• Design and deploy APIs using Flask, FastAPI, or Streamlit for model interaction. 
• Manage CI/CD pipelines, model versioning, and A/B testing for robust deployment. 
• Work with GitHub Actions and Git for collaboration and version control. 
• Optimize model infrastructure and manage cloud-based ML workflows. 

Required Skills & Experience: 

1. Application of AI and ML in the area of BFSI 
2. Strong background in ML algorithms, deep learning, and feature engineering. 
3. Proficiency in Python, Pandas, NumPy, and Scikit-learn. 
4.  Hands-on experience with Pytorch, TensorFlow, and Transformer models. 
5.  NLP expertise using NLTK, Spacy, and transformers. 
6.  Experience with OCR frameworks like YOLO, Tesseract, and PaddleOCR. 
7.  Experience deploying ML models with Flask, Streamlit, or FastAPI. 
8. Strong understanding of CI/CD pipelines, A/B testing, and model versioning. 
9.  Proficiency in Git, GitHub Actions, and cloud-based deployments. 

Nice to Have: 

• Experience in BFSI domain 
• Experience with big data processing (Spark, Dask, or Ray). 
• Familiarity with Docker and Kubernetes for containerization. 
• Cloud expertise (AWS, GCP, Azure).