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Machine Learning Specialist

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  • Posted 13 hours ago
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Job Description

About Searce

Searce is a cutting-edge tech consulting firm that empowers businesses to transform through Cloud, AI, and Analytics. We specialize in modernizing infrastructure, applications, and processes, enabling clients to achieve futuristic business outcomes. As a leading partner for Google Cloud and AWS, we are the trusted choice for tech startups and digital enterprises driving industry disruption.

Job Responsibilities

  • Understand business goals and develop models with measurable success metrics.
  • Manage resources (hardware, data, personnel) to meet project deadlines.
  • Analyze and rank ML algorithms for problem-solving.
  • Explore and visualize data, identifying distribution differences that impact model performance.
  • Share knowledge, implement best practices, and contribute to team growth.
  • Clean and verify data quality.
  • Supervise data acquisition and search for external datasets for training.
  • Define validation strategies and work with DocAI and Vision API.
  • Build, maintain, and improve machine learning algorithms and systems.
  • Develop scalable, automated processes for model development.
  • Identify new opportunities to optimize processes and improve user experiences.
  • Train models, tune hyperparameters, and deploy to production.
  • Work within the GCP Ecosystem.

Qualifications

  • BE/B.Tech/Masters in a quantitative field (CS, EE, Math, etc.).
  • 4+ years of experience in AI/ML/NLP, deep learning, or data-driven modeling.
  • Strong programming skills in machine learning frameworks (TensorFlow, Spark, etc.).
  • Proven ability to develop custom algorithms on top of open-source frameworks.
  • Experience with advanced tech solutions (POCs, prototypes, products) in AI/ML/NLP.
  • Familiarity with data management, cloud computing, and big data platforms.
  • Excellent communication skills for explaining complex solutions.

Preference will be given to immediate joiners

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About Company

Job ID: 144907297

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