Data Platform Engineer

Posted:
12/4/2024, 3:19:29 PM

Location(s):
Madhya Pradesh, India ⋅ Indore, Madhya Pradesh, India

Experience Level(s):
Expert or higher ⋅ Senior

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

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Python (Programming Language)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Roles & Responsibilities: • Expected to be an SME, collaborate and manage the team to perform. • Responsible for team decisions. • Engage with multiple teams and contribute on key decisions. • Provide solutions to problems for their immediate team and across multiple teams. • Design and develop data solutions for data led transformation. • Providing technical mentorship and guidance to junior team members. Professional & Technical Skills: • Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. • Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. • Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. • Optimizing existing generative AI models for improved performance, scalability, and efficiency. • Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. • Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. • Contributing to the establishment of best practices and standards for generative AI development within the organization. • Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. • Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. • Familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. • Knowledge of software development methodologies, such as Agile or Scrum. Additional Information: • The candidate should have a minimum of 7.5 years of experience in Python (Programming Language). • This position is based at our Pune office. • A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, 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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