Posted:3 weeks ago|
Platform:
On-site
Full Time
Company: G3 Interactive Location: Kochi (On-site) Experience Required: 2+ years Employment Type: Full-time About the Role: G3 Interactive is seeking a skilled Machine Learning Engineer to join our team in Kochi. In this role, youâll develop intelligent, data-driven solutions tailored to client needs. From exploring new algorithms to deploying robust systems, youâll play a key part in building real-world machine learning applications. Key Responsibilities: Apply over two years of hands-on experience with deep learning and neural networks in practical projects Research and evaluate novel machine learning models and techniques Build and test experimental prototypes to support product development Design ML systems based on specific client or business requirements Translate model results into meaningful business insights Assess test results and enhance model performance through continuous tuning Conduct data exploration and visualisation to uncover issues affecting model accuracy Prepare datasets from varied sources such as APIs, databases, or structured files Deploy machine learning models to production and manage their ongoing performance Required Skills & Qualifications: Strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods Degree in Computer Science, Mathematics, Statistics, or a related discipline Proficiency in Python and SQL Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Good grasp of software architecture, data modelling, and data structures Experience running ML models on cloud services (AWS, Azure, or Google Cloud) Strong problem-solving abilities, teamwork, and analytical thinking Familiarity with data science workflows and tools Job Type: Full-time Pay: âč30,000.00 - âč50,000.00 per month Schedule: Day shift Morning shift Ability to commute/relocate: Ernakulam, Kerala: Reliably commute or planning to relocate before starting work (Required) Location: Ernakulam, Kerala (Preferred) Work Location: In person
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