Visionary AI Engineer

5 days ago

Anantapur, Andhra Pradesh, India beBeeAI Full time US$ 1,50,000 - US$ 2,00,000

The Opportunity

Job Title: AI/ML Engineer II">
  • Design and develop cutting-edge AI and machine learning models to drive business value and innovation.

Key Responsibilities:

This role involves working on high-impact projects, collaborating with cross-functional teams, and staying up-to-date with the latest advancements in generative AI, large language models, and deep learning architectures.

We are seeking an experienced AI/ML engineer who can optimize, fine-tune, and scale these models while ensuring they meet business and performance objectives.

This individual will be responsible for developing and deploying scalable, production-ready AI solutions that integrate into existing systems.

They will also collaborate with data scientists, software engineers, and product teams to align AI models with business needs.

Furthermore, this person will work with healthcare and claims data to build high-performance AI systems.

Additionally, they will develop and maintain MLOps pipelines for training, deploying, and monitoring AI models.

Finally, they will troubleshoot and resolve AI/ML engineering challenges, ensuring models perform effectively in production.

 

Minimum Qualifications:

A bachelor's or master's degree in a quantitative field such as computer science or data science or related disciplines.

At least 3+ years of experience in data science/ML role, with a track record of delivering impactful solutions in a production environment.

Proficiency in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows.

A deep understanding and hands-on experience in machine learning, deep learning, and natural language processing.

Experience in working with state-of-the-art generative AI models, including model finetuning and evaluation techniques.

Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data.

Cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure.

Skills:

Problem-solving skills for thinking outside the box to design and implement novel AI solutions when faced with unprecedented challenges.

Collaboration and communication skills for articulating technical details and project needs to technical and non-technical team members.

Continuous learning skills for keeping up with the latest research, tools, and techniques in the rapidly evolving generative AI landscape.

Patient and persistent individual who can stay motivated even when facing setbacks.

Excellent interpersonal and communication skills, with strong written and verbal presentation.

Proven ability to take ownership and lead multiple engagements with minimal oversight.

Ability to synthesize complex concepts into understandable and actionable solutions.

 

Competencies:

Demonstrated expertise in precision products and services with the ability to recommend existing solutions and/or propose new products and services based on client need.

Ability to drive executive-level conversation regarding business value.

Demonstrated cross-functional sales and business development success.

Passionate and confident communicator with the ability to energize stakeholder decision-making.

 

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