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 [email protected]

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!