Posted:1 day ago|
Platform:
Hybrid
Full Time
We are seeking a motivated Software Engineer with a strong background in software development and hands-on experience in machine learning. The ideal candidate should have a platform-centric approach and a proven track record in applying machine learning techniques to develop scalable software solutions. You will be instrumental in crafting innovative applications that safeguard our marketplace to mitigate risks, and curtail financial losses. Join our collaborative team that thrives on creativity and resourcefulness to tackle sophisticated challenges.
Design, deliver, and optimize high-performance, large-scale applications, data pipelines, and ML service infrastructure with exceptional speed and reliability.
Enhance core products by skillfully integrating, fine-tuning, and deploying advanced machine learning models for optimal performance and impact. Command the full software development lifecyclefrom initial design and architecture to coding, testing, deployment, and maintenancewhile producing clean, efficient, and documented code. Develop and execute sound technical strategies for complex projects, taking into account business goals, timelines, and long-term impact. Work closely with product managers and partners to translate business requirements into robust technical solutions, ensuring alignment across teams. Take ownership of cross-team engineering efforts and guide junior team members, setting a high standard for technical excellence and professional growth. Drive innovation by developing novel solutions to challenging problems and actively contribute to a culture of knowledge sharing by both teaching and learning from others.
Strong understanding of machine learning fundamentals, algorithms, and model evaluation techniques.
Hands-on experience with ML Ops tools and best practices.
Proficiency in working with large scale data in hadoop and spark.
Proficient with prediction accuracy, latency, throughput, confidence scores, and drift (data & concept)
Recruise India Consulting
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