AI & Machine Learning Engineer
RemoteBangladesh
BangladeshRemoteFull TimeSenior LevelBachelors DegreeSmall
Full TimeSenior LevelBachelors DegreeSmall
Job Summary
Deliver data science and big data technologies to clients by designing scalable solutions that unify insights from varied sources. Provide technical guidance and perform development tasks to ensure AI and ML solutions are properly engineered for ongoing business needs. Collaborate with interdisciplinary teams to tackle challenging computational problems, focusing on complex, judgmental issues surrounding emerging technology. Design and implement machine learning workflows, including pipelines for network performance enhancement and customer support, while leveraging Generative AI models and real-time data processing frameworks.
Required Qualifications
- Bachelor's degree
- 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning
- 2-4 years of experience directly managing technical teams
- Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends
- Strong skills in Python
- Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG)
- Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries
- Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases
- Proven ability to design and implement machine learning solutions that enhance network performance and customer support
- Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics
- Knowledge of streaming technologies, including analytics and content recommendation systems
- Experience with multi-modal models, including vision-language models
- Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications
- Knowledge of regulatory and compliance considerations specific to the banking and financial sector
- Experience with real-time data processing frameworks (e.g., Apache Kafka)
- Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure)
- Experience with network optimization algorithms and techniques
- Knowledge of emerging technologies such as edge computing and IoT
- A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions
- Experience with MLOps methods and platforms such as MLFlow
- Experience with CI/CD and test-driven development
- Experience designing, building, and maintaining ML models, frameworks, and pipelines
- Experience designing and deploying end to end ML workflows on at least one major cloud computing platform
- Understanding of data structures, data modelling and software engineering best practices
- Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
Desired Qualifications
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
- Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
- Experience working with diverse teams to deliver complex solutions
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
- Experience fine-tuning Generative AI models
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