Gen AI Engineer - Assistant Manager

Gen AI Engineer: Assistant Manager

Exp : 7 to 10 YOE

Key Responsibilities:

1. AI Solution Development:
2. Client Project Delivery & Team Management:
3. Coding & Implementation:
4. Data Management & Integration:
5. Business Development & Practice Building:
6. Data Governance & Security:

Qualifications & Experience:

• Educational Background:
• BSc in Computer Science, Engineering, Statistics, or a related field.
• Advanced certifications or coursework in AI/ML or data engineering are a plus.
• BSc in Computer Science, Engineering, Statistics, or a related field.
• Advanced certifications or coursework in AI/ML or data engineering are a plus.

(Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you)

• Work Experience:
• 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
• Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
• Good understanding of NLP and ML
• Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
• Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
• Good understanding of NLP and ML
• Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• Skills:
• Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
• Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.
• Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
• Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.

Why Kpmg?

• Global Reach and Diverse Clients: KPMG works with a vast array of clients across industries and geographies. This means you'd gain exposure to a wide range of business problems and cutting-edge AI/data analytics applications.
• Focus on Innovation: KPMG is actively investing in AI and data analytics, recognizing their transformative potential. You'd be part of a team driving innovation and implementing solutions that shape the future of business.
• Strong Industry Expertise: KPMG has deep industry knowledge across various sectors. This allows you to apply your AI/data analytics skills to real-world challenges with a nuanced understanding of the specific industry context.
• Collaborative Culture: KPMG fosters a collaborative environment where you can learn from experienced professionals and contribute your expertise to diverse teams.
• Professional Development: KPMG offers robust training and development programs to help you hone your skills and advance your career. You'd have access to resources and mentorship to stay ahead of the curve in the rapidly evolving field of AI and data analytics.
• Scale and Impact: KPMG's global reach and client base allow you to work on projects with significant impact, influencing business decisions and driving positive change.
• Data-Driven Culture: KPMG is committed to data-driven decision-making, creating a strong foundation for AI and data analytics professionals to thrive.
• Access to Cutting-Edge Technology: KPMG invests in the latest AI and data analytics tools and technologies, providing you with opportunities to work with the most advanced solutions.
• Focus on Business Value: KPMG emphasizes the practical application of AI and data analytics to solve real-world business problems, ensuring your work has tangible value.

Gen AI Engineer: Assistant Manager

Exp : 7 to 10 YOE

Key Responsibilities:

1. AI Solution Development:
2. Client Project Delivery & Team Management:
3. Coding & Implementation:
4. Data Management & Integration:
5. Business Development & Practice Building:
6. Data Governance & Security:

Qualifications & Experience:

• Educational Background:
• BSc in Computer Science, Engineering, Statistics, or a related field.
• Advanced certifications or coursework in AI/ML or data engineering are a plus.
• BSc in Computer Science, Engineering, Statistics, or a related field.
• Advanced certifications or coursework in AI/ML or data engineering are a plus.

(Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you)

• Work Experience:
• 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
• Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
• Good understanding of NLP and ML
• Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
• Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
• Good understanding of NLP and ML
• Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• Skills:
• Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
• Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.
• Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
• Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.

Why Kpmg?

• Global Reach and Diverse Clients: KPMG works with a vast array of clients across industries and geographies. This means you'd gain exposure to a wide range of business problems and cutting-edge AI/data analytics applications.
• Focus on Innovation: KPMG is actively investing in AI and data analytics, recognizing their transformative potential. You'd be part of a team driving innovation and implementing solutions that shape the future of business.
• Strong Industry Expertise: KPMG has deep industry knowledge across various sectors. This allows you to apply your AI/data analytics skills to real-world challenges with a nuanced understanding of the specific industry context.
• Collaborative Culture: KPMG fosters a collaborative environment where you can learn from experienced professionals and contribute your expertise to diverse teams.
• Professional Development: KPMG offers robust training and development programs to help you hone your skills and advance your career. You'd have access to resources and mentorship to stay ahead of the curve in the rapidly evolving field of AI and data analytics.
• Scale and Impact: KPMG's global reach and client base allow you to work on projects with significant impact, influencing business decisions and driving positive change.
• Data-Driven Culture: KPMG is committed to data-driven decision-making, creating a strong foundation for AI and data analytics professionals to thrive.
• Access to Cutting-Edge Technology: KPMG invests in the latest AI and data analytics tools and technologies, providing you with opportunities to work with the most advanced solutions.
• Focus on Business Value: KPMG emphasizes the practical application of AI and data analytics to solve real-world business problems, ensuring your work has tangible value.

Gen AI Engineer: Assistant Manager

Exp : 7 to 10 YOE

Key Responsibilities:

1. AI Solution Development:
2. Client Project Delivery & Team Management:
3. Coding & Implementation:
4. Data Management & Integration:
5. Business Development & Practice Building:
6. Data Governance & Security:

Qualifications & Experience:

• Educational Background:
• BSc in Computer Science, Engineering, Statistics, or a related field.
• Advanced certifications or coursework in AI/ML or data engineering are a plus.
• BSc in Computer Science, Engineering, Statistics, or a related field.
• Advanced certifications or coursework in AI/ML or data engineering are a plus.

(Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you)

• Work Experience:
• 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
• Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
• Good understanding of NLP and ML
• Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• 5+ years of experience in AI/ML, with a focus on developing and deploying generative AI solutions.
• Proven experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies.
• Good understanding of NLP and ML
• Strong expertise in AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake.
• Skills:
• Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
• Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.
• Proficient in designing and coding generative AI models, including prompt engineering for LLMs like GPT and BERT.
• Strong understanding of AI/ML algorithms, model optimization, and deployment in scalable cloud environments.
• Experience with version control (e.g., Git), Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
• Excellent team collaboration, leadership, and communication skills, with the ability to manage and mentor junior team members.

Why Kpmg?

• Global Reach and Diverse Clients: KPMG works with a vast array of clients across industries and geographies. This means you'd gain exposure to a wide range of business problems and cutting-edge AI/data analytics applications.
• Focus on Innovation: KPMG is actively investing in AI and data analytics, recognizing their transformative potential. You'd be part of a team driving innovation and implementing solutions that shape the future of business.
• Strong Industry Expertise: KPMG has deep industry knowledge across various sectors. This allows you to apply your AI/data analytics skills to real-world challenges with a nuanced understanding of the specific industry context.
• Collaborative Culture: KPMG fosters a collaborative environment where you can learn from experienced professionals and contribute your expertise to diverse teams.
• Professional Development: KPMG offers robust training and development programs to help you hone your skills and advance your career. You'd have access to resources and mentorship to stay ahead of the curve in the rapidly evolving field of AI and data analytics.
• Scale and Impact: KPMG's global reach and client base allow you to work on projects with significant impact, influencing business decisions and driving positive change.
• Data-Driven Culture: KPMG is committed to data-driven decision-making, creating a strong foundation for AI and data analytics professionals to thrive.
• Access to Cutting-Edge Technology: KPMG invests in the latest AI and data analytics tools and technologies, providing you with opportunities to work with the most advanced solutions.
• Focus on Business Value: KPMG emphasizes the practical application of AI and data analytics to solve real-world business problems, ensuring your work has tangible value.