AI/ML Engineer
7 hours ago
This is a full-time position with D Square Consulting Services Pvt Ltd
Required Experience - 6-7 years
Location – Bangalore
Work mode - Onsite
The candidate who can join within 30 days
Job Summary
The AI/ML Engineer to 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, SQL code, adhering to industry best practices.
- Extensive experience with major ML frameworks (TensorFlow, PyTorch, 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, 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 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.
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