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Trulogik

Data Scientist

Trulogik Hyderabad, Telangana, India

Technology, Information and Internet · 51-200 employees

3 d ago
data-scientist Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and deploy end-to-end machine learning solutions to solve complex business problems. Collaborate with cross-functional teams to build production-ready models and provide actionable insights from complex datasets.

What they look for

Python Scala Machine Learning Deep Learning NLP Statistics Predictive Analytics TensorFlow PyTorch MLOps Data Science A/B Testing Model Evaluation Generative AI Large Language Models

Requirements

Requires a Bachelor's or Master's degree in a technical field and 4-6 years of hands-on experience in Data Science or Machine Learning. Candidates must possess strong proficiency in Python or Scala and a deep understanding of statistical modeling and AI frameworks.

Full 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

  • 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.

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