Data Scientist
In 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 environmentsStrong 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 techniquesBonus: Background in telecommunications, signal processing, or IP networks
Strong communication skills to convey complex technical concepts to technical and non-technical stakeholdersProven 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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