AI/ML/GenAI Developer - Senior Associate
AI/ML/GenAI Developer - Senior Associate
PwC Acceleration Centers in India
Bengaluru, Karnataka, India
See who PwC Acceleration Centers in India has hired for this role
Years of Experience: 3-10 Years
Responsibilities
- Design, develop, and implement AI and Gen AI solutions that meet business requirements and objectives.
- Collaborate with cross-functional teams to understand user needs and develop AI models and algorithms.
- Conduct research and stay up-to-date with the latest advancements in AI and Gen AI technologies
- Analyze and preprocess data to ensure its quality and suitability for AI model training.
- Train and fine-tune AI models using various machine learning techniques and algorithms.
- Evaluate and optimize AI models for performance, accuracy, and scalability.
- Integrate AI solutions into existing systems and applications.
- Collaborate with software engineers and data scientists to deploy AI models in production environments.
- Monitor and maintain deployed AI solutions, ensuring their ongoing performance and reliability.
- Stay informed about ethical considerations and legal requirements related to AI development and deployment.
- Document and communicate AI development processes, methodologies, and results to stakeholders.
- Proven experience in developing AI solutions and applications
- Strong programming skills in languages such as Python, Java, or C++
- Solid understanding of machine learning algorithms and techniques
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Proficiency in data preprocessing, feature engineering, and model evaluation
- Familiarity with natural language processing (NLP) and computer vision techniques
- Knowledge of cloud platforms and services for AI development and deployment (e.g., AWS, Azure, Google Cloud)
- Strong problem-solving and analytical thinking abilities
- Excellent communication and collaboration skills
- Ability to work effectively in a fast-paced and dynamic team environment.
- Passion for staying up-to-date with the latest advancements in AI and Gen AI technologies
- Experience with generative AI models and techniques
- Knowledge of reinforcement learning algorithms and applications
- Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
- Understanding of ethical considerations and responsible AI practices
- Bachelor's degree in Engineering (B.E.), Technology (B.Tech), or Master in Computer Application (MCA) from a prominent institution.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Other -
Industries
Professional Services
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