Senior AI/ML Engineer

6 days ago

Hyderabad, Telangana, India Charter Global Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary:

We are looking for a results-driven
Senior AI/ML Engineer
to lead the development and deployment of scalable machine learning models and intelligent systems. You will be at the forefront of building AI solutions that solve high-value business problems, with full ownership from data preparation to model monitoring. This is a key role in a
hands-on, production-grade AI/ML team
, working with state-of-the-art tooling and infrastructure.

Key Responsibilities:

  • Design and implement robust, end-to-end
    ML models and AI pipelines
    to solve real-world business challenges.
  • Build and maintain scalable
    data pipelines
    for structured and unstructured datasets — including data extraction, cleansing, feature engineering, and labeling.
  • Train and tune ML models using modern frameworks such as
    TensorFlow, PyTorch
    , and
    scikit-learn
    .
  • Deploy models to production using
    MLOps tools
    like
    MLflow, Kubeflow
    , or
    Amazon SageMaker
    .
  • Collaborate with Product, Engineering, and Data Science teams to
    embed ML into customer-facing solutions
    .
  • Monitor and optimise models for
    performance, reliability, and drift detection
    in live environments.
  • Conduct R&D on cutting-edge techniques in
    LLMs, NLP, and computer vision
    , and apply them to production use cases.
  • Build internal dashboards, logs, and traceability features to ensure robust
    model governance
    .
  • Write clean, reusable code and maintain thorough documentation of solutions and processes.

Required Skills & Qualifications:

  • 8+ years of experience in
    machine learning, AI engineering, or applied data science
    roles.
  • Deep fluency in
    Python
    and core ML libraries: NumPy, Pandas, scikit-learn, TensorFlow, PyTorch.
  • Strong knowledge of
    ML algorithms, statistical modeling
    , and
    deep learning architectures
    (CNNs, RNNs, Transformers).
  • Experience with
    cloud platforms
    such as AWS, Azure, or GCP for training and deploying models.
  • Proficiency with
    Docker, Kubernetes
    , and DevOps tools for ML deployment.
  • Hands-on experience with
    MLOps frameworks
    like MLflow, Kubeflow, or SageMaker.
  • Familiarity with
    CI/CD pipelines
    ,
    model registries
    , and version control best practices.
  • Ability to work with
    large-scale, multimodal datasets
    (text, time series, images, etc.).
  • Strong analytical, problem-solving, and collaboration skills.

Preferred Qualifications:

  • Master's degree in computer science, AI, Data Science, or a related field.
  • Experience building applications using
    LLMs (e.g., GPT, BERT)
    or working on
    NLP and Computer Vision
    problems.
  • Familiarity with
    Big Data tools
    such as Spark, Kafka, Databricks.
  • Contributions to
    open-source ML/AI projects
    or peer-reviewed publications.
  • Awareness of
    AI ethics, data privacy regulations
    , and responsible AI deployment practices.

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