Bachelor of Science (BSc) in Computer Science & Engineering B. Sc. in Computer Science & Engineering or any other engineering, Mathematics or Statistics (or similar) from a reputed university. Note: Education requirements are not limited to those listed above. If you possess the necessary skills and experience, we encourage you to apply.
Other Requirement
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Experience Requirements: The ideal candidate will have 8+ years of professional experience in machine learning, and advanced analytics, with some experience in leadership roles.
Key Requirements:
Strong experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with scalable training: GPUs/TPUs, distributed learning, model parallelism.
Hands-on expertise in MLOps tooling (MLflow, SageMaker, or similar).
Experience in orchestration and containerization tools (Docker, Kubernetes or similar).
Hands on experience of model monitoring, drift detection, and feedback loops in production environments.
Expert in modern programming/scripting languages (e.g., Python, R)
Nice To Have Requirements:
Experience with LLMs, generative AI, or foundation model deployment.
Exposure to recommendation systems, search, or personalization platforms.
Exposure to any Data Warehouse Development (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse).
Notable experience in Kaggle or other machine learning competitions.
Experience
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সর্বনিম্ন ৮ বছর
শিল্পক্ষেত্র:সফ্টওয়্যার প্রতিষ্ঠান
Responsibilities
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ReliSource, headquartered in Boston, USA, is a provider of Specialized Products & Services and have been operating in Bangladesh for more than a decade providing High-Tech solutions to its clients. Since its inception in 2003 it has been continuously working in new and challenging areas for its Fortune 500 Clientele to deliver significantly high ROI. We provide Device Development/Embedded Engineering, Enterprise Application Development, Enterprise Mobility and Testing/QA Services in the areas of Healthcare, Pharmaceuticals, Logistics & Supply Chain, Insurance and Unattended Payment Systems.In addition to challenging high-tech works, we offer a friendly environment where fun and career development goes together. The ReliSource family members are particularly proud of its ‘Culture’ that bonds everyone together with history of practicing Values & Ethics that develops a professional environment of excellence. This has not only created a sustaining existence for the organization and its members but also created many leaders.Currently we are in the phase of expansion and are seeking potential and talented candidates for the following positions:Career in Machine Learning EngineeringWhat are we looking for?
A seasoned ML professional who can architect, build, and scale real-world machine learning systems from research to production.
Key Responsibilities:
Architect and deliver production-grade ML systems ensuring scalability, reproducibility, and maintainability.
Define and streamline MLOps practices, including deployment, monitoring, and retraining frameworks.
Partner with Data Scientists to transform experimental models into efficient production-ready solutions.
Build CI/CD pipelines tailored for ML workflows (data validation, feature engineering, drift detection).
Ensure responsible AI practices, focusing on model fairness, explainability, and bias mitigation.
Oversee model performance optimization: hyperparameter tuning, efficient training, and inference acceleration.
Maintain robust machine learning and data pipelines for structured and unstructured data
Mentor teams on advanced analytics, ethical AI, and bias mitigation.
Other Facilities
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What's in it for you?
Lead cross-functional teams and establish enterprise-wide AI best practices.
Opportunity to architect mission-critical AI/ML solutions impacting millions of users.
Very Competitive Salary and Excellent Career Opportunity in a Focused & Stable organization.
Most importantly, a friendly work environment with opportunity to learn from a number of highly skilled mentors.
Apply Instruction
How would you apply?
If you believe you are the right candidate, then send your CV along with recent photograph and a cover letter to career@relisource.com with the exact subject line "ML ARCH 31102025" on and by November 30, 2025.
IMPORTANT: CV without the above code in email's subject will be automatically discarded.
Application Deadline: NOV 30, 2025 (Early applications will be given preference)
