Machine learning Engineer

2 weeks ago

Kanpur, Uttar Pradesh, India Weekday AI (YC W21) Full time ₹ 15,00,000 - ₹ 25,00,000 per year

This role is for one of the Weekday's clients
Min Experience: 3 years

Location: Gurugram, Delhi, Uttar Pradesh, NCR, NOIDA, Kanpur, Uttarakhand

JobType: full-time

We are seeking a highly skilled and motivated
Machine Learning Engineer
with 3-5 years of hands-on experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning models, with a particular focus on
Support Vector Machines (SVM)
and other supervised and unsupervised learning techniques. This role involves working on large-scale datasets, building predictive models, optimizing algorithms, and collaborating with cross-functional teams to deliver cutting-edge AI-driven solutions.

Requirements
Key Responsibilities

  • Model Development & Deployment:

  • Design, build, and deploy machine learning models tailored to real-world business problems.

  • Implement and optimize Support Vector Machine (SVM) algorithms for classification, regression, and anomaly detection tasks.

  • Ensure scalability and performance of deployed models in production environments.

  • Data Management & Preprocessing:

  • Work with structured and unstructured datasets to prepare clean, usable data for training.

  • Apply feature engineering, dimensionality reduction, and data transformation techniques to improve model accuracy and efficiency.

  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and data insights.

  • Algorithm Optimization:

  • Experiment with various machine learning algorithms beyond SVM, including decision trees, ensemble methods, clustering, and neural networks.

  • Fine-tune hyperparameters, optimize model performance, and validate results using rigorous statistical methods.

  • Leverage techniques such as cross-validation, regularization, and kernel methods to enhance accuracy.

  • Collaboration & Integration:

  • Partner with data scientists, software engineers, and product teams to integrate machine learning solutions into business applications.

  • Translate complex machine learning outputs into actionable insights for stakeholders.

  • Support the creation of APIs and frameworks for easy deployment of ML models.

  • Continuous Improvement:

  • Stay updated with the latest advancements in machine learning, deep learning, and AI research.

  • Explore novel approaches to enhance existing systems and processes.
  • Contribute to building reusable ML components and maintaining best practices.

Required Skills & Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • Experience: 3-5 years of professional experience in machine learning engineering.

  • Core Expertise:

  • Strong understanding and practical experience with Support Vector Machines (SVM).

  • Solid knowledge of supervised and unsupervised learning techniques, classification, regression, and clustering.

  • Programming & Tools:

  • Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.).

  • Experience with data visualization tools (Matplotlib, Seaborn, Plotly).

  • Familiarity with version control systems (Git) and cloud platforms (AWS, Azure, or GCP).

  • Analytical Skills: Strong background in statistics, linear algebra, probability, and optimization techniques.

  • Soft Skills: Excellent problem-solving abilities, analytical thinking, communication, and teamwork.

Preferred Qualifications

  • Experience with deep learning frameworks.
  • Exposure to natural language processing (NLP) or computer vision projects.
  • Familiarity with large-scale data processing frameworks like Spark or Hadoop

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