Job Location
Remote Work Policy
In office
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Python
SQL
REST APIs
Azure
UNSUPERVISED LEARNING
Supervised Learning
scikit-learn
AWS
Feature Engineering
Model Evaluation
Keras
TensorFlow
GCP
PyTorch
Data Preprocessing
Model Deployment
About the job
Job description
Position: AI/ML Engineer
We are seeking a passionate AI/ML Engineer with 5+ years of experience in designing, developing, and deploying Machine Learning and Artificial Intelligence solutions. The ideal candidate should have strong programming skills, hands-on experience with ML frameworks, and a solid understanding of data science, deep learning, and Generative AI concepts.
Key Responsibilities
- Design, develop, and deploy Machine Learning and AI models for business applications.
- Build and optimize predictive analytics, classification, recommendation, and forecasting models.
- Collect, clean, preprocess, and analyze large datasets.
- Collaborate with data engineers and software development teams to integrate AI solutions into production environments.
- Monitor model performance and continuously improve accuracy and efficiency.
- Implement MLOps practices for model deployment, monitoring, and lifecycle management.
- Work on NLP, Computer Vision, and Generative AI use cases.
- Create documentation, reports, and technical specifications.
Required Skills
- 5+ years of hands-on experience in AI/ML development.
- Strong programming skills in Python.
- Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.
- Knowledge of SQL and database technologies.
- Understanding of supervised and unsupervised learning algorithms.
- Experience in data preprocessing, feature engineering, and model evaluation.
- Familiarity with REST APIs and model deployment techniques.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
Preferred Skills
- Experience with Generative AI, Large Language Models (LLMs), LangChain, RAG, and Vector Databases.
- Knowledge of Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with MLOps tools such as MLflow, Kubeflow, Azure ML, or SageMaker.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.
About the company
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