AI / ML Engineer

Posted:
9/4/2024, 3:43:41 PM

Location(s):
Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : Machine Learning
Good to have skills : Data Science
Minimum 7.5 year(s) of experience is required
Educational Qualification : BE

Summary: As a Machine Learning Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Machine Learning, deep learning, neural networks, chatbots, and natural language processing to deliver impactful data-driven solutions. Roles & Responsibilities: - Design and develop machine learning models and algorithms to solve complex business problems. - Collaborate with cross-functional teams to identify and prioritize business requirements and use cases for AI/ML solutions. - Implement and deploy AI/ML models and algorithms in production environments. - Continuously monitor and improve the performance of AI/ML models and algorithms. - Stay up-to-date with the latest advancements in AI/ML technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Experience with Data Science. - Good To Have Skills: Strong expertise in Machine Learning & GenAI - Good to have experience in the GenAI technologies like Prompt Engineering, Azure openAI models like GPT3.5,GPT4, VectorDB, langchain, etc. - Solid understanding of deep learning, neural networks, chatbots, and natural language processing. - Experience in designing and developing AI/ML models and algorithms. - Experience in implementing and deploying AI/ML models and algorithms in production environments. - Strong analytical and problem-solving skills. - Excellent programming skills in languages such as Python, R, or Java. - Experience with big data technologies such as Hadoop, Spark, or Hive. - Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Data Science and ML - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.

BE

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 742,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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