Senior Python Developer – AI and ML

7 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

Role Overview:

Senior Python Developer with expertise in Artificial Intelligence (AI) and Machine Learning (ML)

Key Responsibilities:

  • Design, develop, and deploy machine learning models and AI-based solutions for real-world business challenges.
  • Build and maintain efficient, reusable, and reliable Python code.
  • Preprocess and analyze large datasets for training and evaluation.
  • Develop and optimize deep learning models using TensorFlow, PyTorch, or similar frameworks.
  • Collaborate with data scientists, ML engineers, and software developers to integrate models into production environments.
  • Implement data pipelines and MLOps best practices for model lifecycle management.
  • Conduct model evaluation, hyperparameter tuning, and performance optimization.
  • Stay up to date with advancements in AI/ML research and tools.
  •  US overlapping time

Required Skills & Qualifications:

  • Education:

    Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Experience:

    7+ years of experience in software development with at least 3+ years focused on AI/ML.
  • Programming Languages:

    Expert-level Python programming skills.
  • Machine Learning & AI:

  • Experience with ML algorithms (supervised, unsupervised, NLP, deep learning).
  • Hands-on experience with

    TensorFlow

    ,

    PyTorch

    ,

    Scikit-learn

    ,

    Keras

    , or similar frameworks.
  • Data Handling:

    Strong knowledge of

    Pandas

    ,

    NumPy

    , and data wrangling techniques.
  • Model Deployment:

    Experience deploying models using

    FastAPI

    ,

    Flask

    ,

    Docker

    , or

    AWS SageMaker

    .
  • Databases:

    Knowledge of

    SQL

    and

    NoSQL

    systems (e.g., PostgreSQL, MongoDB).
  • Version Control:

    Proficient with

    Git

    and CI/CD tools.
  • Bonus Skills:

  • Experience with

    NLP

    ,

    Computer Vision

    , or

    Generative AI

    .
  • Familiarity with

    MLOps

    tools (MLflow, Kubeflow, Airflow).
  • Exposure to

    cloud platforms

    (AWS, Azure, GCP).

Soft Skills:

  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • Ability to mentor junior developers and collaborate across technical teams.
  • Self-motivated, innovative, and detail-oriented.

Preferred Certifications (optional):

  • AWS Certified Machine Learning – Specialty
  • TensorFlow Developer Certificate
  • Microsoft Azure AI Engineer Associate

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