Solution Architect – Data Science

Pune, India

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About Us

We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead.  

Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! 

Key Responsibilities

1. Solution Design and Architecture

  • Design end-to-end architecture for data driven AI/ML solutions, including data pipelines, model development, machine learning models, and deployment strategies and frameworks.
  • Ensure scalability, security, reliability and proper integration of these applications with production environments.
  • Evaluate and recommend tools, frameworks, and cloud services (AWS, Azure, GCP) for AI/ML development and deployment.
  • Integrate data science workflows with existing business systems and cloud platforms.

2. Collaboration with Stakeholders

  • Work closely with data scientists, engineers, product managers, and business leaders to translate business requirements into technical solutions.
  • Act as a bridge between data science teams and IT departments to ensure seamless implementation of solutions.

3. Data Management and Processing

  • Oversee the creation and maintenance of robust data pipelines for data ingestion, transformation, and storage.
  • Ensure data quality, consistency, and governance throughout the project lifecycle.

4. Deployment and Monitoring

  • Implement and deploy machine learning models into production environments.
  • Establish monitoring systems for deployed models to track performance, accuracy, and usage over time.

5. Technical Leadership

  • Provide guidance on best practices for model development, testing, and deployment.
  • Mentor junior team members and promote the adoption of emerging technologies and methodologies.

6. Innovation and Continuous Improvement

  • Stay updated on the latest advancements in data science, machine learning, and AI technologies.
  • Evaluate and recommend tools, frameworks, and cloud solutions to enhance project efficiency and effectiveness.

7. Documentation and Reporting

  • Prepare comprehensive documentation for solution designs, workflows, and system architecture.
  • Communicate project progress and outcomes to technical and non-technical stakeholders.

Our Commitment to Our People 

Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That’s why everything we do is geared toward a sustainable future—for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial.

Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. 

Flexible and competitive benefits plans offer the right options to meet your individual/family needs. We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.  

Together, we have the opportunity – and the power – to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team!

Our Commitment to Diversity, Equity & Inclusion 

At Copeland, we believe having a diverse, equitable and inclusive environment is critical to our success. We are committed to creating a culture where every employee feels welcomed, heard, respected, and valued for their experiences, ideas, perspectives and expertise. Ultimately, our diverse and inclusive culture is the key to driving industry-leading innovation, better serving our customers and making a positive impact in the communities where we live.  

 

Equal Opportunity Employer 

Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Architecture Jobs

Tags: Architecture AWS Azure Data management Data pipelines Data quality Engineering GCP Industrial Machine Learning ML models Pipelines Security Testing

Perks/benefits: Career development Flex vacation Parental leave

Region: Asia/Pacific
Country: India

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