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Machine Learning Engineer
Analogyx Bi
posted 4mon ago
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Flexible timing
Key skills for the job
Job Description
We are looking for a talented Machine Learning Engineer with expertise in the supply chain domain to join our team and help optimize our operations through data-driven solutions.
Key Responsibilities:
- Develop and Deploy Machine Learning Models: Design, build, and deploy machine learning models to address challenges within the supply chain domain, including demand forecasting, inventory management, logistics optimization, and supplier performance evaluation.
- Data Analysis and Feature Engineering: Conduct extensive data analysis to extract insights, identify patterns, and engineer features that will improve model performance.
- Collaborate with Cross-Functional Teams: Work closely with supply chain analysts, data scientists, and software engineers to ensure seamless integration of ML models into existing systems.
- Optimize Supply Chain Processes: Utilize predictive analytics and machine learning techniques to enhance supply chain efficiency, reduce costs, and improve overall performance.
- Continuous Improvement: Monitor and refine machine learning models, ensuring they remain accurate and relevant as the business environment evolves.
- Documentation and Reporting: Maintain comprehensive documentation of models, processes, and workflows. Communicate findings and insights to stakeholders through clear and concise reports.
Requirements:
- Educational Background: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Experience: Proven experience (X+ years) in developing and deploying machine learning models, particularly within the supply chain domain.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong understanding of supply chain concepts and challenges.
- Experience with data processing tools such as SQL, Hadoop, or Spark.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment.
- Problem-Solving Abilities: Strong analytical and problem-solving skills, with the ability to work with complex data sets and derive actionable insights.
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Team Player: Ability to work effectively in a collaborative, cross-functional team environment.
Preferred Qualifications:
- Experience in a similar role within the supply chain or logistics industry.
- Knowledge of optimization algorithms and techniques.
- Familiarity with predictive analytics and statistical modeling.
Why Join Us:
- Be part of a forward-thinking team dedicated to excellence.
- Opportunity to work on challenging projects that contribute to the company s success.
- Collaborative work environment that fosters innovation and continuous learning.
- Competitive compensation package and benefits
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
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