AI ML Specialist

5 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title: AI/ML Specialist (3–5 Year’s Experience)


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About Us

AI ML Specialist


Key Responsibilities

  • Design, build, and deploy scalable machine learning models and algorithms to solve business problems.
  • Work on data preprocessing, feature engineering, and model optimization.
  • Collaborate with cross-functional teams (data engineers, product managers, developers) to integrate AI solutions into production systems.
  • Research and experiment with the latest AI/ML frameworks, tools, and techniques to continuously improve solutions.
  • Analyze large datasets to derive insights, trends, and predictive models.
  • Monitor, evaluate, and fine-tune model performance post-deployment.
  • Contribute to documentation, knowledge sharing, and best practices within the AI/ML team.

Required Skills & Qualifications

  • Bachelor’s/Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • 3–5 years of proven experience in AI/ML development and deployment.
  • Proficiency in programming languages such as

    Python, R, or Java

    .
  • Strong knowledge of ML frameworks and libraries such as

    TensorFlow, PyTorch, Scikit-learn, Keras

    .
  • Experience with

    NLP, Computer Vision, or Deep Learning techniques

    .
  • Hands-on experience with data handling using

    SQL, Pandas, NumPy

    .
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
  • Strong problem-solving, analytical, and communication skills.

Preferred Skills

  • Experience working with

    large-scale datasets

    and distributed computing frameworks (e.g., Spark, Hadoop).
  • Exposure to

    generative AI, reinforcement learning, or recommendation systems

    .
  • Ability to write clean, efficient, and production-ready code.

What We Offer

  • Opportunity to work on innovative AI/ML projects with real-world impact.
  • A collaborative and supportive work culture.
  • Professional growth through training, workshops, and exposure to the latest technologies.
  • Competitive salary and benefits package.

 

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