Machine Learning Engineer

4 days ago

Ahmedabad, Gujarat, India CloudStakes Technology Pvt. Ltd. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Company

We are seeking skilled and experienced ML Developers to join our innovative team. The ideal candidate will have strong hands-on ML experience with the ability to understand complex data models and translate business requirements into efficient solutions that capture business context accurately. Participation in machine learning competitions is a strong plus.

About the Role

We are looking for candidates with 3+ years of experience in Python for Machine Learning. Shift timings are flexible for 4 hours, but candidates need to be available from 7:30 PM to 12:30 AM.

Responsibilities

  • Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization.
  • Collaborate with business stakeholders to gather and clarify requirements.
  • Translate business requirements into ML code that accurately reflects business logic.
  • Write efficient, maintainable, and well-documented ML solutions.
  • Participate in code reviews and follow established development standards.
  • Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy.
  • Create and maintain technical documentation for developed solutions.
  • Support testing activities and resolve data-related issues.

Qualifications and required skills

  • Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
  • 3+ years of hands-on ML development experience.
  • Proficiency in at least some of the ML areas and frameworks, including:
  • Supervised learning (classification, regression, …)
  • Unsupervised learning (clustering, anomaly detection, …)
  • Time-series analysis
  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • Statistical modeling
  • Ability to understand and apply different models to real-world use cases.
  • Hands-on experience with DS and ML solutions in production environments.
  • Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics.
  • Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn).

Preferred Skills

  • Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
  • Experience with cloud data platforms (Databricks, AWS, etc.).
  • Knowledge of MLOps principles and tools for model deployment and monitoring.
  • Hands-on experience with PySpark and Databricks Platform.
  • Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
  • Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench.

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