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 12 year(s) of experience is required
Educational Qualification : BE

Summary: As an AI/ML 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 algorithms, deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: - Convert a business problem into a data driven ML solution. - Develop, Manage, architect ML and advanced analytics models. - Examine data from multiple sources and share insights. - Act as Subject Matter Expert in area of data science - Experiment design, evaluation, creation and analysis of dashboards/reports and evaluation, defining metrics - Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results. - Design and develop machine learning models and algorithms for various applications. - Implement and optimize deep learning models and neural networks. - Develop chatbots and natural language processing systems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Stay updated with the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - End to end knowledge of Life Cycle of ML Model. Strong understanding of machine learning algorithms and techniques. - Hands on experience in Python and PySpark, TensorFlow, Keras, PyTorch, and other machine learning frameworks. - Expertise in Python to deploy ML and Advanced analytics models - Experience with deep learning, neural networks, chatbots, and natural language processing. - Use of Python as Data Science tool kit. - Strong Programming skill in Python for Data ETL activities and in Java, or C++. - Ability to derive insights from analytical and ML models - Knowledge of Statistics: hypothesis testing, regression - Data Infrastructure: Hadoop and Hive, MySQL, Oracle, Vertica and automating analyses and authoring pipelines via SQL - Experience with data analysis and visualization tools such as Tableau or Power BI. - Must To Have Skills: - Good To Have Skills: Experience with cloud-based AI services such as AWS, Azure, or Google Cloud. Additional Information: - The candidate should have a minimum of 5 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.

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.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.