with strong expertise in machine learning, data analysis, and signal processing. The ideal candidate will have hands-on experience building and deploying AI/ML models and working closely with cross-functional teams. Candidates with additional knowledge of networking will be preferred.
Key Responsibilities
Develop, train, and deploy AI/ML models for various business use cases.
Perform data preprocessing, exploratory data analysis, and feature engineering.
Work on signal processing techniques to extract meaningful insights from structured/unstructured data.
Collaborate with software, data, and networking teams to integrate AI solutions into production systems.
Optimize models for performance, accuracy, and scalability.
Implement and maintain ML pipelines and workflows.
Research and experiment with new AI/ML algorithms and techniques.
Prepare technical documentation and present findings to stakeholders.
Required Skills
Strong understanding of
AI/ML algorithms
, supervised & unsupervised learning.
Expertise in
Python
and ML libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas.
Solid experience with
signal processing
techniques (FFT, filtering, noise reduction, feature extraction, etc.).
Good knowledge of
networking fundamentals
and data flow architectures.
Experience with
data analysis
, visualization tools, and statistical methods.
Familiarity with
ML model deployment
, CI/CD, and cloud platforms (AWS/Azure/GCP) is a plus.
Ability to work in a fast-paced environment with strong problem-solving skills.
Qualifications
Bachelor's or Master's degree in Computer Science, Electronics, Data Science, AI/ML, or related field.
Minimum
3+ years
of relevant experience in AI/ML development.
Nice to Have
Experience with real-time data processing or IoT systems.
Knowledge of deep learning architectures for time-series or signal data.
Understanding of MLOps tools and pipelines.
Job Types: Full-time, Permanent
Pay: ?60,000.00 - ?100,000.00 per month
Work Location: In person
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