Senior Data Scientist - AI/ML

ACROSSTEK™; Bengaluru; On-site; INR 1,900,000 - 2,700,000; Full time

Job summary

Acrosstek is seeking a Senior Data Scientist to drive real-time analytics and AI-native development. You will design scalable ML solutions, experiment with time-series, deep learning architectures, and productionize models with MLOps practices.

You will collaborate with engineering and product teams, work with Ray and Spark for large datasets, and leverage AI tooling such as Claude or Copilot to accelerate development while maintaining rigorous analytics and robust performance.

Qualifications

• 5+ years of Data Science / Applied ML experience.
• Strong Python skills and ability to productionize models.
• Experience with ML techniques including regression, classification, clustering, and ensembles.

Responsibilities

• Design, build, and optimize ML models for large-scale datasets.
• Develop predictive modeling, anomaly detection, forecasting, and alerting solutions.
• Apply ML techniques including regression, classification, clustering, and ensembles.
• Work with CNNs, RNNs/LSTMs, Transformers & Attention mechanisms.
• Analyze time-series and real-time data.
• Develop POCs and move ML solutions to production.
• Process and analyze large datasets using Ray and Spark.
• Collaborate with engineering and product teams to deploy models.
• Contribute to AI roadmaps and AI-driven product initiatives.
• Leverage AI tools such as Claude, Cursor, or GitHub Copilot for development.

Skills

Python

ML & Modeling

Dimensionality Reduction

CNNs/RNNs/Transformers

Optimization & Bayesian

POC to Production

AI-assisted tools

Communication skills

Scala (plus)

Tools

Ray

Spark

Claude

Cursor

GitHub Copilot

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.