Machine Learning Engineer

Infosys Finacle

Pune District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Infosys Finacle is seeking a data science professional to design and deploy AI-driven analytics. You will build models, run experiments, and deliver actionable insights across business units.

Strong Python skills and ML experience are essential, with the ability to deploy models as APIs and communicate results clearly to non-technical teams. The role emphasizes cutting-edge AI applications, responsible AI practices, and cross-functional collaboration to optimize customer experiences and revenue

Qualifications

  • Excellent analytical and problem-solving skills.
  • Experience using Python to manipulate data and draw insights from large data sets.
  • Knowledge of advanced statistical techniques and concepts with applications.
  • Experience creating and using advanced ML algorithms: regression, clustering, neural networks, etc.
  • Ability to host models and expose them via API.
  • Strong communicator who can explain data work to non-specialists.
  • Experience with cutting-edge AI solutions and dynamic learning environments.
  • Build AI algorithms and design experiments to extract data for reports.
  • Use predictive modeling to improve customer experiences and business outcomes; Explainable AI.
  • Conduct research to develop prototypes and reuse insights across the organization.
  • Stay curious and advocate for the benefits of algorithmic solutions.

Responsibilities

  • Host AI models and make them API-convertible.
  • Develop AI algorithms and design experiments to extract data for reports.
  • Apply predictive modeling to improve customer experiences and revenue.
  • Collaborate with colleagues across functions to leverage insights.
  • Explain complex analytics to non-technical stakeholders.
  • Remain curious and promote responsible AI practices.

Skills

Analytical skills
Python
Statistical techniques
Machine learning
API deployment
Communication
AI solutions
Experiment design
Predictive modeling
Explainable AI
Prototyping
Cross-functional collaboration
Curiosity

Job description

  • Excellent analytical and problem-solving skills .
  • Experience using statistical computer language Python to manipulate data and draw insights from large data sets.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
  • Should be able to host the models and make them API convertible.
  • Good communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
  • Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment.
  • Build AI algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organization .
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Bring about Explainable and Responsible AI.
  • Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
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