Urgent! Senior AI/ML Engineer Job Opening In New Delhi – Now Hiring Charter Global
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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Unlock Your Senior AI Potential: Insight & Career Growth Guide
Real-time Senior AI Jobs Trends in New Delhi, India (Graphical Representation)
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Great news! Charter Global is currently hiring and seeking a Senior AI/ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior AI/ML Engineer Jobs New Delhi.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Charter Global adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior AI/ML Engineer Jobs India varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior AI/ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior AI/ML Engineer interview at Charter Global, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Charter Global's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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