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YASH Technologies

Senior Data Scientist – AI/ML

YASH Technologies

Senior Data Scientist developing advanced machine learning and AI models for YASH Technologies. Collaborating with cross-functional teams to translate data into actionable insights and ensure scalable AI systems.

Posted 5/4/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDjangoDockerGoogle Cloud PlatformHadoopKafkaKubernetesPythonPyTorchScikit-LearnSparkSpringSpring BootSpringBootSQLTensorflow

About the role

Key responsibilities & impact
  • Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI.
  • Develop data strategies including preprocessing, feature engineering, and scalable data pipelines.
  • Apply MLOps best practices for model development, deployment, and monitoring.
  • Collaborate with stakeholders to understand business problems and define data-driven solutions.
  • Stay current with the latest advancements in AI/ML and evaluate their potential applications.
  • Ensure models are explainable, ethical, and compliant with regulatory requirements.

Requirements

What you’ll need
  • Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
  • 4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments.
  • Strong foundation in Mathematics, Statistics, and Machine Learning theory.
  • Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
  • Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers).
  • Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive).
  • Strong knowledge of SQL and building data pipelines.
  • Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform).
  • Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).
  • Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring).

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities
  • Support needed for business goals
  • Stable employment with great atmosphere and ethical corporate culture

ATS Keywords

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Hard Skills & Tools
machine learningdeep learningnatural language processingcomputer visionrecommendation systemsgenerative AIdata preprocessingfeature engineeringdata pipelinesmathematics
Soft Skills
collaborationproblem-solvingcommunication
Certifications
Bachelor's degreeMaster's degreePhD