Data Scientist

Trulogik Inc.; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Trulogik Inc. is seeking a Senior Data Scientist in Hyderabad to design, develop, and deploy scalable AI/ML solutions that solve complex business problems.

You will collaborate with engineering, product, and business teams to build production-ready models across NLP, automation, anomaly detection, and predictive analytics. The role focuses on translating business problems into scalable AI/ML solutions, deploying models, monitoring performance, and mentoring junior scientists while communicating

Qualifications

• Bachelor's or Master's degree in CS/AI/DS/Statistics/Math/Engineering.
• 4–6 years of hands-on Data Science, ML, Applied AI, or Analytics.
• Strong knowledge of ML algorithms, statistics, probability, and optimization.
• Solid experience with Python (preferred) or Scala.
• Experience with model evaluation techniques, experimentation, and A/B testing.
• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Design, develop, and deploy end-to-end machine learning solutions.
• Build and optimize NLP and deep learning models for production use.
• Analyse large and complex structured and unstructured datasets to generate actionable insights.
• Translate business problems into scalable AI/ML solutions.
• Partner with engineering teams to deploy, monitor, and improve ML models.
• Conduct model experimentation, hyperparameter tuning, and evaluation.
• Implement model monitoring, retraining strategies, and performance optimization.
• Present technical findings and business insights to stakeholders.
• Mentor junior data scientists and contribute to best practices.

Skills

Data Science

Machine Learning

Python

A/B Testing

Problem Solving

Stakeholder Management

Communication

Education

Bachelor's or Master's in CS/AI/DS/Statistics/Math/Engineering

Tools

TensorFlow

PyTorch

CI/CD pipelines

Job description

We are looking for passionate and outcome-driven Data Scientists who enjoy solving complex business problems using Artificial Intelligence and Machine Learning. In this role, you will work on designing, developing, and deploying scalable AI/ML solutions that drive real business impact.

As a Senior Data Scientist, you will collaborate with engineering, product, and business teams to build production-ready machine learning models across use cases such as NLP, intelligent automation, anomaly detection, predictive analytics, and decision support systems.

Key Responsibilities

We are looking for passionate and outcome-driven Data Scientists who enjoy solving complex business problems using Artificial Intelligence and Machine Learning. In this role, you will work on designing, developing, and deploying scalable AI/ML solutions that drive real business impact.

As a Senior Data Scientist, you will collaborate with engineering, product, and business teams to build production-ready machine learning models across use cases such as NLP, intelligent automation, anomaly detection, predictive analytics, and decision support systems.

Key Responsibilities

• Design, develop, and deploy end-to-end machine learning solutions.
• Build and optimize NLP and deep learning models for production use.
• Analyse large and complex structured and unstructured datasets to generate actionable insights.
• Translate business problems into scalable AI/ML solutions.
• Partner with engineering teams to deploy, monitor, and continuously improve ML models.
• Conduct model experimentation, hyper parameter tuning, and performance evaluation.
• Implement model monitoring, retraining strategies, and performance optimization.
• Present technical findings and business insights to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to best practices across the team.

Requirements

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 4–6 years of hands‑on experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
• Strong understanding of Machine Learning algorithms, Statistics, Probability, and Optimization techniques.
• Solid experience with Python (preferred) or Scala.
• Experience with model evaluation techniques, experimentation, and A/B testing.
• Strong problem‑solving and analytical skills.
• Excellent communication and stakeholder management abilities.

Preferred Skills

• Experience with Natural Language Processing (NLP), Large Language Models (LLMs), or Generative AI.
• Hands‑on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of text mining, embeddings, vector databases, and transformer‑based models.
• Experience deploying ML models in cloud or production environments.
• Familiarity with MLOps, model monitoring, versioning, and CI/CD pipelines.
• Understanding of model explainability and interpretability techniques.