Senior AI/ML Engineer

Charter Global

8 years

0 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

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Skills Required

ai ml development deployment learning data model monitoring tooling design extraction engineering tensorflow mlflow reliability drift cutting traceability code documentation numpy algorithms aws azure gcp training docker devops collaboration spark kafka ethics

Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary:

Senior AI/ML Engineer

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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