AI / ML Engineer

Posted:
9/24/2024, 9:28:23 AM

Location(s):
Kolkata, West Bengal, India ⋅ West Bengal, India

Experience Level(s):
Mid Level

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 : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : BE

Summary: As an AI Platform 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 deep learning, neural networks, chatbots, natural language processing, and other related technologies. Roles & Responsibilities: - Design and develop AI-based applications and systems using machine learning techniques, deep learning, neural networks, chatbots, natural language processing, and other related technologies. - Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications. - Develop and maintain scalable and efficient AI models and algorithms. - Ensure the quality and accuracy of the AI models and algorithms by testing, debugging, and validating them. - Stay updated with the latest advancements in AI and machine learning technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Strong experience in machine learning, deep learning, neural networks, chatbots, natural language processing, and other related technologies. - Good To Have Skills: Experience with TensorFlow, Keras, PyTorch, and other AI frameworks. - Strong programming skills in Python, Java, or C++. - Experience with data analysis, data visualization, and data manipulation tools such as Pandas, NumPy, and Matplotlib. - Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. - Solid understanding of software engineering principles and best practices. Additional Information: - The candidate should have a minimum of 3 years of experience in machine learning. - 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 AI-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 750,000 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

Equal Employment Opportunity Statement


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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

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing