Artificial Intelligence/Machine Learning Engineer - Python

Description :

Job Summary :

The AI/ML Engineer will lead end-to-end design, development, and deployment of advanced, value-driven AI/ML solutions for digital marketing and analytics.

Drive innovation, leverage cutting-edge techniques, and standardize multi-cloud model deployment through collaboration, delivering profound data insights.

Required Qualifications :

- Bachelor's degree (or higher preferred) in computer science, data science, ML, mathematics, statistics, economics, or related fields with emphasis on quantitative methods.

- 6-7 years' experience in software engineering with deep, hands-on expertise in the full lifecycle of ML model development, deployment, and operationalization.

- Demonstrated ability to write highly robust, efficient, and scalable Python, Java, Spark, and SQL code, adhering to industry best practices.

- Extensive experience with major ML frameworks (TensorFlow, PyTorch, and Scikit-learn) and advanced deep learning libraries, including optimization.

- Strong, in-depth understanding of diverse ML algorithms (e.g., advanced regression, classification, clustering, RNNs, CNNs, transformers, time series, reinforcement learning), sophisticated data structures, and enterprise software design.

- Significant experience deploying and managing AI/ML models on major cloud platforms (Azure, AWS, GCP).

- Proven experience with LLMs and generative AI (fine-tuning, prompt engineering, and deployment) is highly desirable.

- Exceptional problem-solving skills in a fast-paced, collaborative remote environment.

- Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence diverse global teams remotely.

- Experience with classification, time series forecasting, customer lifetime value models, LLMs, and generative AI, preferably from the retail, eCommerce, or CPG industry.

Responsibilities :

- Lead cross-functional teams to deliver and scale complex AI/ML solutions (DL, NLP, optimization).

- Architect, design, develop, train, and evaluate high-performance, production-ready AI/ML models, ensuring scalability and robustness.

- Drive implementation, deployment, and maintenance of AI/ML solutions, optimizing inference and documenting processes.

- Oversee data exploration, advanced preprocessing, complex feature engineering, and robust data pipeline development.

- Establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models to ensure accuracy and reliability.

- Partner with senior stakeholders to translate business requirements into scalable AI solutions that deliver measurable value.

- Act as a primary SME on AI/ML model development, MLOps, and deployment, influencing global data science platforms.

- Continuously research and champion the adoption of the latest AI/ML technologies, algorithms, and best practices to maximize business value.

- Foster innovative thinking and continuous improvement, seeking superior ways of working for teams and partners