Lead Artificial Intelligence Engineer
2 months ago
Job Location - Bangalore, HSR Layout.
Job Duration - 12months C2H
Job Model - Hybrid Mandatory ( 3days WFO, 2 days WFH)
Need immediate joiners only
Lead AI Engineer :
Years of Exp-5+ years.
Must-have skills :
- Exp in high-level architecture design and solution development for large-scale AI/ML systems.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP
- This role involves architecting, developing, and supporting advanced AI computing resources and AI-enabled services.
- The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML and data mining, collaborating with cross-functional teams to bring innovative AI solutions from conception to deployment.
- Proven track record in industry use cases utilizing deep and machine learning techniques. Knowledge of how full stack SaaS products work, scale and perform.
- Proficient in deep programming to implement solutions in production.
Key Responsibilities :
- Lead the design, development, and deployment of AI/ML models and solutions to solve complex business problems.
- Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into technical solutions.
- Guide the team in selecting the right algorithms, tools, and frameworks for different AI/ML projects.
- Conduct code reviews, provide mentorship, and ensure best practices in AI/ML development and deployment.
- Develop and maintain scalable and robust AI infrastructure, including data pipelines, model training, and deployment environments.
- Stay updated with the latest advancements in AI and machine learning, and incorporate new techniques and tools as appropriate.
- Optimize and fine-tune models for performance, scalability, and efficiency in production environments.
- Manage project timelines, deliverables, and coordinate with stakeholders to ensure project success.
- Ensure data security and compliance with relevant regulations and policies.
- Present findings, strategies, and progress to senior management and stakeholders.
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