Senior Data Scientist - AI/ML

Acrosstek; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Acrosstek in Bengaluru is seeking a Senior Data Scientist to shape advanced AI initiatives and real-time analytics platforms. This hands-on role requires deep expertise in ML, algorithms, and AI-native development to deliver scalable solutions.

You will drive production-ready ML models, collaborate with engineering and product teams, and leverage cutting-edge AI tools to accelerate development and innovation.

Qualifications

• 5+ years of experience in Data Science / Applied Machine Learning.
• Advanced proficiency in Python; Scala or similar languages is a plus.
• Machine Learning & Statistical Modeling

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.

Skills

Python

Machine Learning

Statistical Modeling

CNNs/RNNs/Transformers

Time-series analysis

POC to Production

AI-assisted development tools

5+ years experience

Tools

Ray

Spark

GitHub Copilot

Claude

Cursor

Job description

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.
• Machine Learning & Statistical Modeling
• Clustering & Dimensionality Reduction
• 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.
• Strong analytical, problem-solving, and communication skills.

Good to Have

• Experience with real-time data processing and streaming analytics.
• Strong 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.