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Trulogik

Data Scientist

Trulogik Hyderabad, Telangana, India

Technology, Information and Internet · 51-200 employees

Yesterday
data-scientist Mid (2-5 yrs) Full-time India
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About the role

Design, develop, deploy, and optimize production-ready machine learning solutions, including NLP and deep learning models, for business use cases. Analyze complex datasets, monitor and improve deployed models, communicate findings to stakeholders, and mentor junior data scientists.

What they look for

Machine Learning Artificial Intelligence Python Scala Natural Language Processing Deep Learning Large Language Models Generative AI TensorFlow PyTorch Statistics A/B Testing MLOps Model Monitoring Model Explainability Cloud Deployment

Requirements

A bachelor's or master's degree in a relevant field and 4–6 years of experience in data science, machine learning, applied AI, or advanced analytics are required. Candidates should have strong foundations in machine learning, statistics, probability, and optimization, along with Python or Scala experience, model evaluation and experimentation skills, and strong analytical and communication abilities.

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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