Location: Bangalore

Work Mode: Hybrid

Experience: 5+ Years

We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms, Statistical Modeling, and AI-native development to contribute to advanced AI initiatives and real-time analytics platforms.

This is a hands-on, technically deep role for professionals passionate about building scalable and intelligent ML solutions.

Key Responsibilities
Design, build, and optimize ML models for real-world, large-scale datasets.
Develop solutions for predictive modeling, anomaly detection, forecasting, and automated alerting.
Apply classical ML techniques including regression, classification, clustering, and ensemble methods.
Work with deep learning architectures such as CNNs, RNNs/LSTMs, Transformers, and attention mechanisms.
Analyze time-series and complex real-time data.
Develop POCs and take ML solutions from experimentation to production.
Process and analyze large-scale datasets using Ray and Spark.
Collaborate with engineering and product teams to integrate ML models into production systems.
Contribute to AI roadmaps and AI-driven product initiatives.
Leverage AI coding tools such as Claude, Cursor, or GitHub Copilot for development, debugging,



prototyping, and solution design.

Required Skills
5+ years of experience in Data Science / Applied Machine Learning.
Advanced proficiency in Python; Scala or similar languages is a plus.
Solid knowledge of
Machine Learning & Statistical Modeling
Regression, Classification & Ensemble Methods
Clustering & Dimensionality Reduction
Neural Networks & Deep Learning
CNNs, RNNs/LSTMs, Transformers & Attention
Optimization, Bayesian & Probabilistic Modeling
Strong ability to take models from POC to scalable production solutions.
Hands-on experience with AI-assisted development tools.
Solid analytical, problem-solving, and communication skills.

Good to Have
Experience with real-time data processing and streaming analytics.
Robust knowledge of time-series analysis, forecasting, seasonality, and change-point detection.
Experience building AI-powered alerting or anomaly detection systems.
Knowledge of MLOps and cloud-based ML deployment.
Experience with model monitoring, versioning, retraining pipelines, or production ML systems.
Experience integrating or fine-tuning LLMs/foundation models.

📌 Senior Data Scientist Ai/ml Bangalore Metropolitan Area
🏢 AcrossTek™
📍 Bangalore Metropolitan Area