Artificial Intelligence Engineer

Position Overview :

We are looking for a highly skilled and experienced

Senior AI / ML Engineer

to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record of building and deploying scalable AI models in real-world applications.

Key Responsibilities :

Design, develop, and deploy scalable AI / ML models and algorithms for real-time or batch processing applications.

Collaborate with cross-functional teams including data engineering, software development, and product management to integrate AI solutions into products.

Conduct in-depth research and experimentation to improve model performance and develop new approaches using state-of-the-art techniques.

Evaluate and optimize ML models for speed, accuracy, and scalability.

Maintain and improve existing ML infrastructure, pipelines, and toolkits.

Mentor junior developers and contribute to AI / ML best practices and standards.

Stay current with the latest research and developments in the AI / ML space.

Required Skills and Qualifications :

6+ years of experience

in and deploying machine learning and AI solutions.

Strong programming skills in

Python

(with libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.).

Solid understanding of

machine learning algorithms ,

statistical modelling ,

data preprocessing , and

feature engineering .

Experience in building and tuning

deep learning models

(CNNs, RNNs, Transformers, etc.).

Proficiency in working with

cloud platforms

(AWS, GCP, Azure) and

ML Ops

tools (MLflow, Kubeflow, etc.).

Experience with

big data technologies

(e.g., Spark, Hadoop) and

data pipelines .

Strong problem-solving skills and ability to translate business needs into technical solutions.

Familiarity with

model explainability ,

bias mitigation , and

responsible AI

practices.

Experience in

natural language processing (NLP) ,

computer vision , or

recommendation systems .

Familiarity with

containerization and orchestration

tools (Docker, Kubernetes).

Published papers or contributions to open-source ML / AI projects.

Certifications (Good to have any)

Google Professional Machine Learning Engineer

Microsoft Certified : Azure AI Engineer Associate

AWS Certified Machine Learning – Specialty

TensorFlow Developer Certificate

Experience :

6+ years of experience

in and deploying machine learning and AI solutions.

Educational Qualification(s) :

Bachelor’s in computer science, Machine Learning, Data Science, or a related field.

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