Job Title : AI Engineer
Experience Required : 10+ Years
Location : Remote
Position Overview :
We are seeking an experienced AI Engineer Traineer with over a decade of expertise in designing, developing, and deploying artificial intelligence and machine learning solutions. The role involves architecting end-to-end AI systems, applying advanced models to real-world problems, and ensuring scalability, accuracy, and compliance with industry standards. The candidate will be responsible for driving AI initiatives across enterprise applications, collaborating with cross-functional teams, and integrating AI into digital transformation programs.
Key Responsibilities :
- Designed and implemented advanced machine learning, deep learning, and natural language processing (NLP) models for business-critical applications.
- Built and optimized scalable AI pipelines, from data ingestion and preprocessing to model training, deployment, and monitoring.
- Deployed AI models using MLOps frameworks with CI / CD, versioning, and automated retraining strategies.
- Applied computer vision, reinforcement learning, and generative AI for domain-specific use cases.
- Optimized model performance, accuracy, and interpretability through feature engineering and hyperparameter tuning.
- Integrated AI solutions with cloud environments (AWS SageMaker, Azure ML, Google Vertex AI).
- Established AI governance, bias detection, and compliance frameworks to ensure ethical and transparent use of AI.
- Collaborated with data scientists, software engineers, and business stakeholders to translate requirements into scalable AI solutions.
- Published documentation, conducted technical reviews, and supported knowledge transfer across teams.
- Drove innovation by evaluating emerging AI technologies and applying them to enterprise needs.
Top Skills & Competencies :
Programming : Python, R, Java, C++Machine Learning & Deep Learning : TensorFlow, PyTorch, Keras, Scikit-learnNatural Language Processing : Transformers, Hugging Face, spaCy, NLTKGenerative AI : LLMs, diffusion models, prompt engineeringComputer Vision : OpenCV, YOLO, Detectron2Data Engineering : Spark, Hadoop, Kafka, SQL / NoSQL databasesMLOps & Deployment : MLflow, Kubeflow, Docker, Kubernetes, CI / CD pipelinesCloud Platforms : AWS SageMaker, Azure ML, Google Vertex AIGovernance & Compliance : Model monitoring, bias detection, explainability, AI ethics frameworksStrong analytical, problem-solving, and collaboration skills