Data Scientist / ML Engineer (Only H1B candidates)

Data Scientist / ML Engineer (Ecommerce exp MANDATE) Location: Remote (Position 1 Onshore, St. Louis, USA)
Experience: 8+yrs   - 

Rates : Very competitive

Nice-to-Have Skills

• Experience with eCommerce Search.
• Experience in Microservices, Event-Driven Architectures, and CI/CD Pipelines.
  Background Check: Before Onboarding

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• 8 12 years of overall IT experience with 3+ years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
• Strong expertise in Python and ML frameworks such as MLFlow, TensorFlow, PyTorch, Scikit-learn, or equivalent.
• Experience with statistical analysis, data exploration, and large-scale datasets.
• Hands-on experience with Pandas, NumPy, Spark, feature engineering, and data preprocessing.
• Experience building ranking models (Learning-to-Rank, Neural Ranking, or similar).
• Experience with semantic search, embeddings, or dense retrieval methods.
• Strong knowledge of Elasticsearch, Solr, OpenSearch, Lucene, BM25, information retrieval, search relevance tuning, tokenization, stemming, and query parsing.
• Experience with MLOps, including model versioning, experiment tracking, and pipeline orchestration.
• Strong SQL skills.
• Excellent analytical, problem-solving, communication, and cross-functional collaboration skills.

Preferred Skills

• Search query analysis and user behaviour analysis.
• Training and fine-tuning machine learning models.
• Experience with Large Language Models (LLMs) and prompt engineering.
• Semantic indexing and dense vector search (Vector Databases).
• Search metrics evaluation and optimization.
• Tableau, Looker, or similar analytics tools.
• Background in NLP, Information Retrieval, or Computational Linguistics.
• Experience working on search or ML-focused teams.