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 machine learning, deep learning, neural networks, chatbots, and natural language processing to create innovative solutions. Roles & Responsibilities: Data Analysis: Lead analytics projects using statistical and ML methods. Client Engagement: Partner with clients for analytics solutions; translate data insights into business strategies. Strategy: Boost growth by identifying new analytics capabilities. Mentorship: Guide junior data scientists; promote continuous learning. Collaboration: Work with IT and analysts to integrate data insights. R&D: Stay updated in data science; drive team innovation. Solution: Create scalable data science solutions aligned with client goals. Technical Experience: - Minimum 5 years hands on experience as a Data Scientist - Must have experience in GenAI and machine Learning skills. - Good to have experience in the GenAI technologies like Prompt Engineering, Azure openAI models like GPT3.5,GPT4, VectorDB, langchain, etc. - Proficient in Python, SQL; libraries and framework like Tensorflow, PyTorch, Pandas. - Expertise in statistical modeling, ML, deep learning. Knowledge in Decision Tree, Random Forest, SVM, XGBoost, etc. - Proficient in using deep learning techniques in NLP, Computer Vision - Experience visualization tools like Matplotlib, Tableau. - Proficient in at least one cloud IBM, AWS, Azure, or GCP platforms Educational Qualification : - Bachelor’s or master’s degree in Computer Science, Statistics, or a related discipline. Good to have skills: Familiarity with big data technologies (e.g., Spark, Hadoop) and graph databases (e.g., Stardog, Neo4j). Understanding of generative AI tools and techniques. Familiarity with IBM WatsonX and related technologies. Additional Information : Excellent communication, problem-solving skills & ability to work in a collaborative environment.

BE

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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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