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Snr / Staff AI Engineer

Snr / Staff AI Engineer

Onsemibangalore, India
3 hours ago
Job description

AI Engineer

We are seeking a motivated and curious Junior AI and Data Science Engineer to join our growing team. In this role, you will support the development and deployment of machine learning models, contribute to data analysis projects, and help build intelligent systems that drive business insights and innovation.

This is an excellent opportunity for early-career professionals who are passionate about AI, machine learning, and data science, and are eager to grow their skills in a collaborative and fast-paced environment.

Key Responsibilities

  • Assist in designing, developing, and deploying machine learning models and AI solutions.
  • Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
  • Support the development of data pipelines and model monitoring systems.
  • Document processes, models, and findings clearly and concisely.
  • Stay up to date with the latest trends and advancements in AI and data science.

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Requirements :

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • 2+ years of experience in AI / ML development, with a strong focus on NLP and LLMs.
  • Proven experience deploying AI / ML models in production environments.
  • Proficiency in Python (., NumPy, pandas, scikit-learn, TensorFlow or PyTorch).
  • Familiarity with SQL and data visualization tools (., Matplotlib, Seaborn, Power BI).
  • Understanding of machine learning concepts and statistical analysis.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
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    Preferred Knowledge and Experience :

  • Internship or project experience in AI, machine learning, or data science.
  • Exposure to cloud platforms (., AWS, Azure, GCP).
  • Experience with version control systems like Git.
  • Competencies :

  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
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