Data Scientist

3 weeks ago

Bengaluru, India Infocus Technologies Full time

Job Summary:

As part of our AI/ML , you will work closely with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning models and AI-powered solutions. You will use Dataiku to build robust, scalable, and automated data science workflows that drive business value. Your expertise in AI/ML techniques combined with your experience using Dataiku will be key to transforming data into actionable insights.

Key Responsibilities:

  • AI/ML Model Development & Deployment:
  • Design, develop, and deploy machine learning models and AI solutions using Dataiku.
  • Build end-to-end machine learning pipelines that automate data preparation, feature engineering, training, validation, and deployment of models.
  • Leverage Dataikus AutoML capabilities to streamline model building while ensuring model performance.
  • Work with stakeholders to identify and prioritize AI use cases that align with business objectives.
  • Collaboration & Knowledge Sharing:
  • Collaborate with cross-functional teams (data engineers, business analysts, product owners) to integrate machine learning solutions into business workflows.
  • Share insights and knowledge on best practices in data science, machine learning, and the use of Dataiku.
  • Create and maintain detailed documentation for models, pipelines, and workflows within Dataiku.
  • Data Management & Feature Engineering:
  • Work with large datasets, performing feature engineering and transformation to prepare data for machine learning tasks.
  • Utilize Dataiku's data wrangling capabilities to clean, transform, and organize data for efficient processing.
  • Build reusable data processing workflows within Dataiku to automate recurring tasks and streamline model development.
  • Model Monitoring & Optimization:
  • Continuously monitor and fine-tune deployed models to ensure they deliver high-quality predictions and insights.
  • Implement strategies for model versioning, testing, and monitoring performance over time.
  • Ensure that models adhere to business requirements and ethical AI practices.
  • Innovation & Research:
  • Keep up with the latest trends and advancements in AI/ML techniques and tools.
  • Explore new AI/ML algorithms and methodologies to improve model performance.
  • Contribute to the ongoing evolution of Dataiku workflows to incorporate cutting-edge practices in AI/ML.

Required Skills & Qualifications:

  • Experience:
  • 3+ years of experience in machine learning and data science, with a strong focus on deploying models at scale.
  • Hands-on experience working with Dataiku for building, deploying, and automating ML workflows.
  • Proven track record of end-to-end project delivery in AI/ML, including problem definition, model building, validation, and deployment.
  • Technical Skills:
  • Proficiency in Python, R, or similar programming languages used for AI/ML.
  • Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques.
  • Experience with Dataiku and its features such as AutoML, visual recipes, and integration with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Familiarity with cloud environments (AWS, GCP, or Azure) for scalable model deployment.
  • Knowledge of data preprocessing, feature engineering, and optimization techniques.
  • Familiarity with model monitoring, model lifecycle management, and version control in data science projects.

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