Software Development Engineer 1 Job Listing at AMD in Hyderabad, Telangana (Job ID 78668-en-us)

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

SOFTWARE DEVELOPMENT ENGINEER 1 

THE ROLE: 

We are seeking a highly skilled and motivated AI Analyst to join our dynamic and innovative team. As an AI Analyst, you will play a vital role in analyzing complex datasets, extracting meaningful insights, and driving data-driven decision-making within our company.

THE PERSON: 

The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology.  

KEY RESPONSIBILITIES: 

1. Extract valuable insights, patterns, and trends that contribute to improving business performance by analyzing the large and complex datasets.
2. Develop and implement predictive models to forecast future outcomes, identify potential risks, and optimize business processes. Collaborate with cross-functional teams to apply these models in real-world scenarios.
3. Create clear and concise visualizations that effectively communicate complex data analysis results to both technical and non-technical stakeholders. Use data visualization tools to present findings in a compelling and understandable manner.
4. Clean, transform, and preprocess raw data to ensure accuracy and consistency. Identify and address data quality issues that may impact analysis outcomes.
5. Work closely with various teams, including business stakeholders, product managers, and engineers, to understand their requirements, gather relevant data, and deliver actionable insights that drive informed decision-making.
6. Design and execute experiments to test hypotheses and evaluate the effectiveness of new models or algorithms. Analyze experimental data and provide recommendations based on the findings.
7. Stay updated with the latest advancements in data science, machine learning, and related fields. Apply new techniques and methodologies to improve existing processes and develop innovative solutions.
8. Maintain clear and organized documentation of analysis procedures, methodologies, and results. Share findings and insights with team members to foster knowledge sharing and collaboration.

PREFERRED EXPERIENCE: 

1. Extract valuable insights, patterns, and trends that contribute to improving business performance by analyzing the large and complex datasets.

2. Develop and implement predictive models to forecast future outcomes, identify potential risks, and optimize business processes. Collaborate with cross-functional teams to apply these models in real-world scenarios.

3. Create clear and concise visualizations that effectively communicate complex data analysis results to both technical and non-technical stakeholders. Use data visualization tools to present findings in a compelling and understandable manner.

4. Clean, transform, and preprocess raw data to ensure accuracy and consistency. Identify and address data quality issues that may impact analysis outcomes.

5. Work closely with various teams, including business stakeholders, product managers, and engineers, to understand their requirements, gather relevant data, and deliver actionable insights that drive informed decision-making.

6. Design and execute experiments to test hypotheses and evaluate the effectiveness of new models or algorithms. Analyze experimental data and provide recommendations based on the findings.

7. Stay updated with the latest advancements in data science, machine learning, and related fields. Apply new techniques and methodologies to improve existing processes and develop innovative solutions.

8. Maintain clear and organized documentation of analysis procedures, methodologies, and results. Share findings and insights with team members to foster knowledge sharing and collaboration.

ACADEMIC CREDENTIALS: 

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's “Responsible AI Policy” is available here.

This posting is for an existing vacancy.