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Data Scientist
Data ScientistTrue Tech Professionals • Alappuzha, IN
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Data Scientist

Data Scientist

True Tech Professionals • Alappuzha, IN
30+ days ago
Job description

Applied Scientist / ML Engineer (Search & Recommendations)

We are looking for a highly skilled Applied Scientist / Machine Learning Engineer to lead the innovation and development of our next-generation Search and Recommendation systems. The ideal candidate will have deep expertise in classical ML, Deep Learning, NLP, and advanced Transformer-based architectures, including BERT and modern Large Language Models (LLMs).

Key Responsibilities

Search & Recommendation Development

  • Lead the end-to-end design, development, and deployment of search, personalization, and recommendation algorithms.
  • Build systems that significantly enhance user experience and drive measurable business impact.

Transformer-Based Model Implementation

  • Apply, fine-tune, and optimize models such as BERT, RoBERTa, and other encoder architectures for :
  • Semantic search
  • Relevance ranking
  • Query understanding
  • Embedding generation
  • Large Language Model (LLM) Innovation

  • Research, prototype, and implement solutions using LLMs.
  • Work on model selection, prompt engineering, LoRA-based fine-tuning, and quantization for efficient inference.
  • Design and implement RAG (Retrieval-Augmented Generation) systems using vector databases and advanced retrieval pipelines.
  • ML Productionization (MLOps)

  • Build, train, validate, and deploy machine learning models into scalable, low-latency production environments.
  • Collaborate with engineering teams to ensure reliability, robustness, and maintainability.
  • Data Strategy & Feature Engineering

  • Partner with Data Engineering to define datasets and develop innovative features for training and evaluation.
  • Ensure data quality and consistency across search and recommendation pipelines.
  • Evaluation & Optimization

  • Define and track KPIs such as NDCG, CTR, latency, perplexity, and other model metrics.
  • Continuously iterate to improve model performance and system quality.
  • Essential Technical Qualifications

  • MS / PhD in Computer Science, Data Science, Engineering, or equivalent experience.
  • Expert-level Python skills; strong knowledge of ML / DL libraries (NumPy, Pandas, etc.) and solid software engineering practices.
  • Deep experience with PyTorch or TensorFlow .
  • Proven hands-on work with Transformer models (BERT, encoder-only models) for IR, NLU, or embedding generation.
  • Practical experience with LLMs , including fine-tuning, deployment, and familiarity with frameworks such as Hugging Face, LangChain, and LlamaIndex.
  • Strong foundational understanding of classical ML algorithms and statistical modeling.
  • Direct experience building or optimizing search ranking systems , recommendation engines, dense retrieval, or vector-based search.
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools such as MLFlow, Kubeflow, Docker, Kubernetes.
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    Data Scientist • Alappuzha, IN

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