AI/ML/GenAI Engineer

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eProductivity Software

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Kubernetes NumPy Pandas CI Kubeflow Go Docker AWS TensorFlow

Job Description

Job title: AI/ML/ Gen AI Engineer

Location: Bengaluru

Experience: 4-7 Years

Responsibilities

  • Advanced Data Analysis: Go beyond basic data exploration and delve into complex statistical analysis and modelling techniques using Python libraries like scikit-learn and TensorFlow. Conduct exploratory data analysis to gain insights and inform modelling decisions.
  • Machine Learning Expertise: Architect and implement sophisticated machine learning models to solve real-world and complex problems. Design and implement scalable machine learning pipelines and workflows.
  • Communication & Collaboration: Effectively translate technical findings into clear and actionable insights for technical and non-technical stakeholders. Collaborate with business teams to ensure data-driven solutions align with business objectives
  • Mentorship & Knowledge Sharing: Guide and mentor junior engineers, fostering a collaborative learning environment and sharing best practices within the team. Stay updated with the latest advancements in machine learning research and apply them to improve our solutions.

Skills

  • 4-7 Years experience into AI/ML/Gen AI engineering.
  • Technical Expertise: Advanced proficiency in Python and its data science libraries (pandas, NumPy, scikit-learn, TensorFlow, etc.)
  • Experience with cloud platforms (AWS preferred)
  • Experience in MLOps (MLflow/ kubeflow) is required.
  • Experience working with Large Language Models (Gen AI) and Natural Language Processing
  • Statistical and Machine Learning Acumen: Deep understanding of statistical concepts, machine learning algorithms, and their applications in various domains
  • Experience with data pre-processing, feature engineering, and model evaluation
  • Familiarity with version control systems (e.g., GitHub) and CI/CD pipelines.
  • Experience with containerization technologies such as Docker and Kubernetes
  • Problem-Solving & Innovation: A keen mind for identifying business problems and developing innovative data-driven solutions

Nice To Have

  • ERP or Supply Chain domain experience
  • Identify potential business areas that can leverage AI, ML or GenAI paradigm and build necessary models.


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