Manager( Principal Consultant)- AIML Developer

Location

Bangalore | India

Job description

Manager( Principal Consultant)- AIML Developer - ITO075899

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.

Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.

Welcome to the relentless pursuit of better.

Inviting applications for the role of Manager( Principal Consultant)- AIML Developer

In this role, you would play a crucial role in driving and implementing the Scaled Agile Framework (SAFe) principles and practices across our organization. The ideal candidate will have a deep understanding of agile methodologies, particularly the SAFe framework, and a proven track record of successfully leading agile transformations.

Responsibilities

Understand business processes, identify pain points and areas for improvement, and articulate problems that can be addressed through machine learning solutions.

• Analyse and correlate relevant business metrics to determine the impact of potential solutions.

• Gather, clean, and preprocess data from various sources to facilitate the development of machine learning models.

• Design, develop, and implement machine learning models using advanced techniques such as Neural Networks and Transformer models, with a focus on tabular data and NLP applications.

• Perform feature engineering, data preprocessing, and model selection to optimize model performance.

• Evaluate model performance using appropriate metrics, iterating and refining as necessary.

• Monitor and maintain the performance of machine learning models in production, troubleshooting and updating as required.

• Communicate findings, insights, and recommendations to stakeholders in a clear and actionable manner.

• Stay up to date with the latest research, trends, and best practices in machine learning, NLP, Neural Networks, Transformer models, and related technologies.

• Continuously improve the organization's machine learning infrastructure, tools, and processes to enhance efficiency and effectiveness.

• Proactively identify opportunities for leveraging machine learning and AI solutions to drive business value and improve operations.

• Collaborate cross-functionally with other teams, such as product development, marketing, and customer support, to ensure seamless integration and implementation of machine learning models into existing systems and workflows.

• Train and mentor junior team members, sharing knowledge and expertise in machine learning, NLP, Neural Networks, and Transformer models.

• Ensure compliance with data privacy and security regulations while handling sensitive information

Qualifications we seek in you!

Minimum Qualifications

· Bachelor's or higher degree in computer science, Data Science, Engineering, or a related field.

• Relevant years of experience in machine learning, data science, or a related field, with a focus on Neural Networks, Transformer models, tabular data, and NLP.

Preferred Qualifications / Skills

· Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn,Pandas, NumPy

· Proven ability to manage projects end-to-end, from understanding business requirements to implementing machine learning solutions.

· Excellent problem-solving, critical thinking, and analytical skills.

· Strong communication and interpersonal skills, with the ability to effectively present complex information to both technical and non-technical audiences.

· Keen attention to detail and a commitment to producing high-quality, reliable, and maintainable code.

· Self-motivated and able to work independently or collaboratively within a team environment.

· A passion for staying current with the latest advancements in machine learning.

· Proficiency in one programming language as base minimum, such as Python.

· Previous experience in a client-facing role or presenting technical information to non-technical stakeholders.

Job tags

Salary