AI / ML Engineer

Posted:
9/4/2024, 3:45:06 PM

Location(s):
Karnataka, India

Experience Level(s):
Senior

Field(s):
AI & Machine Learning

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 : Natural Language Processing (NLP)
Good to have skills : NA
Minimum 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, including but not limited to deep learning, neural networks, chatbots, and natural language processing. Your typical day will involve working with NLP, developing and deploying AI models, and collaborating with cross-functional teams to deliver impactful data-driven solutions. Roles & Responsibilities: - Lead the development and deployment of AI models utilizing NLP and associated libraries like NLTK, spaCy, and Gensim. - Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. - Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as deep learning, neural networks, and clustering algorithms. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. - Stay updated with the latest advancements in AI and data science, integrating innovative approaches for sustained competitive advantage, including experience with TensorFlow, Keras, and Big Data technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in NLP. - Must To Have Skills: Experience with TensorFlow, Keras, and Big Data technologies. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Experience in implementing various machine learning algorithms such as deep learning, neural networks, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in NLP and TensorFlow. - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, 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.

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.

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