My client a leader in innovative technology solutions seeks a Senior Software Engineer with data science expertise. Join a dynamic team to design and deploy machine learning and AI features for large-scale real-time systems. This role offers impactful projects growth opportunities and a collaborative culture.
My client is a trailblazer in delivering scalable cutting-edge technology solutions for global industries with a focus on processing massive data volumes and enabling intelligence-driven insights. They are seeking a Senior Software Engineer with strong data science expertise to join their innovative this role you will design develop and deploy machine learning and AI features that unlock value from petabyte-scale datasets within real-time distributed systems. Youll collaborate with skilled professionals across the product lifecyclefrom ideation to client-site deploymentensuring solutions are impactful and practical. Responsibilities include building and supporting ML/AI models optimizing data pipelines and contributing to scalable microservice architectures. The team operates in a hybrid work model fostering a flexible yet engaging environment where continuous learning and mentorship are prioritized. This is an opportunity to work on high-impact projects that shape critical decision-making within a tight-knit community that values both hard work and celebration.
Skills & Experience: Minimum 4 years of hands-on experience in a data science or data-focused software engineering role
Proven expertise in training deploying and supporting machine learning or AI models in production environments
Strong programming skills in Python and/or Java with a solid grasp of software engineering best practices
Proficiency in database design and querying including SQL and handling large datasets
Comfortable in Unix-based environments including scripting troubleshooting and networking
Experience with data wrangling feature engineering and model evaluation techniques
Familiarity with version control systems container technologies microservice architectures and CI/CD pipelines for ML workflows
Preferred: Experience with real-time/event processing systems (e.g. Apache Kafka) distributed systems or audio/NLP/LLM/RAG techniques
Bonus: Background in telecommunications signal processing or IP networks
Strong communication skills to convey complex technical concepts to technical and non-technical stakeholders
Proven ability to mentor junior team members and contribute to technical leadership
Qualification:Bachelors degree in Data Science Computer Science Engineering Applied Mathematics or a related quantitative field with a focus on data science AI or machine learning.
Preferred: Masters degree in a related field.
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