About Us:
Analogyx is a dynamic start-up with five years of successful operations in the market. Our passion for delivering cutting-edge solutions has positioned us as a trusted provider of ERP and CRM software services, catering primarily to clients in the US and UK.
Analogyx also have Analogyx BI (ABI) as a real-time data streaming platform with a built-in data warehouse and 50+ visualization types equipped with out-of-the-box integrations and more. With a clear understanding of how data systems function, coupled with industry knowledge, ABI strives to enable real-time analytics of your business to help it take flight.
Company: Analogy BI Pvt. Ltd.
Location: Nagavara, Bengaluru
Position: Machine Learning Engineer
Experience: Minimum 5 years
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.
How to Apply:
Interested candidates are invited to submit their resume and a cover letter outlining their relevant experience to careers@analogyx.com
Analogyx is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join our team and be part of creating next-generation mobile applications that make a lasting impact!
