Job Location: Bengaluru, Karnataka, India
Requirements:
- Startup mindset to experiment, fail fast and learn rapidly.
- Data orientation, excellent data analysis skills
- Very good at problem solving
- 7-9+ years of expertise in developing AI/ML solutions and deploying solves at large scale and optimizing further and driving positive business impact
- 3+ years in leading a team of data scientists (as a technical mentor) and defining/refining business goals, formulating approaches Etc.
- Good experience working with data technologies (eg SQL, Spark, Hive, Map-Reduce, Scala, Etc); streaming technologies (Kafka, Apache Flink / Spark Streaming or any other similar tools
- Strong experience and deep understanding of various AI/ML techniques – supervised learning, unsupervised learning, deep learning and NLP.
- Very good understanding of machine learning frameworks – Keras, Scikit learn, tensorflow, Etc.
- Strong experience with Python
- Good understanding of math required for AI/ML
- Experience with AWS or GCP Machine learning platform
Responsibilities:
- – Lead problem definition/refining, solutioning and implementation of scalable AI/ML solutions in production
- Lead data collection, data cleaning/preparation, data correctness/completeness/freshness, exploratory data analysis (EDA), feature engineering, etc
- Extract data from varied available data sources without depending on data engineering team
- Create POCs to test hypothesis. Identify explorations that are likely to fail earlier on in the development cycle (EDA/POC phase). Help develop a fast culture in the team.
- Create AI/ML models, iteratively improve them, ensure they meet throughput and latency requirements along with accuracy constraints.
- Lead ensuring hygiene of AI/ML solves post production – periodic retraining, model health monitoring, data health monitoring, alerting/monitoring, etc
- Establish AI/ML model evaluation metrics, link with suitable business metrics. Co-own the business metrics and drive improvement in desired direction.
- Contribute to IP creation through innovation wherever possible
- Collaborate with industry experts as necessary on niche problems as needed
- Mentor junior machine learning engineers in the team
- Keep up with latest developments/evolutions in AI/ML techniques in chosen problem areas
- Lead product roadmap and planning along with product managers and other stakeholders and drive business impact
- Lead development/enhancement of necessary tooling to improve efficiency of execution, debugging, testing, etc of AI/ML solutions
- Write detailed and easy to understand documentation on deployed models, experiments – failed or successful
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