AI/ML Engineer
3 days ago
Company Description
At Brickslogix, we are dedicated to driving innovation through technology. We specialize in custom software development, web development, mobile app development, UX/UI design, staff augmentation, and software consultation. With a team of dedicated experts, we combine innovation, expertise, and a passion for excellence to deliver state-of-the-art technology solutions that address real-world challenges. Our impact extends globally, making us a trusted partner for clients from startups to enterprises.
We are looking for a passionate and skilled
AI/ML Engineer
to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate should have hands-on experience in data preprocessing, model training, evaluation, and deployment, along with a solid understanding of machine learning frameworks and Python-based tools.
Key Responsibilities:
- Develop and implement machine learning and deep learning models for various use cases.
- Perform data collection, cleaning, and feature engineering.
- Optimize models for performance, accuracy, and scalability.
- Collaborate with software engineers and data scientists to integrate ML models into production.
- Research and experiment with new algorithms and tools to enhance system intelligence.
- Monitor and maintain deployed AI models for continuous improvement.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 2–3 years of hands-on experience in AI/ML model development.
- Proficiency in
Python
and libraries such as
TensorFlow, PyTorch, scikit-learn, pandas, NumPy
. - Experience with
data visualization tools
(Matplotlib, Seaborn, Power BI, etc.). - Familiarity with
cloud platforms
(AWS, GCP, or Azure) and
MLOps tools
. - Strong understanding of
machine learning algorithms
,
NLP
, or
computer vision
is a plus. - Excellent problem-solving and analytical skills.
Nice to Have:
- Experience with
API development
for ML model integration. - Knowledge of
LLMs, Generative AI, or prompt engineering
. - Experience in deploying ML models using
Docker or FastAPI
.
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