AIML Engineer

Enterprise Minds, Inc

8 years

0 Lacs

hyderabad telangana india

Posted:20 hours ago| Platform:

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Skills Required

ai ml design learning data software vision preprocess model deployment aws azure gcp scalability engineering research cutting algorithms development numpy statistics regression clustering sagemaker etl sql nosql rest docker agile monitoring processing

Work Mode

On-site

Job Type

Full Time

Job Description

AI/ML Engineer

Key Responsibilities

Design & Develop ML Models:
Build, train, and optimize machine learning and deep learning models for real-world applications (e.g., NLP, computer vision, recommendation systems).
Data Preparation & Feature Engineering:
Collect, clean, and preprocess large-scale datasets for model development.
Deployment & Integration:
Package models into APIs or services, deploy to cloud platforms (AWS, Azure, GCP), and ensure scalability and reliability.
Monitor & Maintain Models:
Track model performance in production, retrain as needed, and manage version control.
Collaboration:
Partner with product and engineering teams to translate business requirements into technical solutions.
Innovation:
Research and implement cutting-edge ML algorithms and tools to improve existing processes and products.

Required Skills & Experience

5–8 years of experience in AI/ML development and deployment.
Proficiency in
Python
(pandas, NumPy, scikit-learn) and at least one deep learning framework (
TensorFlow
or
PyTorch
).
Strong understanding of algorithms, statistics, and machine learning techniques (e.g., regression, classification, clustering, CNNs, RNNs).
Experience with
cloud platforms
(AWS SageMaker, Azure ML, or GCP AI Platform).
Familiarity with
data engineering concepts
(ETL, data pipelines, SQL/NoSQL databases).
Hands-on experience deploying ML models in production environments (e.g., REST APIs, Docker, Kubernetes).
Solid problem-solving skills and the ability to work in an agile, fast-paced environment.

Preferred Qualifications

Exposure to
MLOps
practices (CI/CD for ML, model monitoring, automated retraining).
Experience with
natural language processing (NLP)
or
computer vision
projects.
Knowledge of big data tools like
Spark
or
Hadoop
.
Master’s degree in Computer Science, Data Science, or a related field.

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