On-Site
Full-Time
Pune, Maharashtra
India
Skills
Artificial Intelligence (AI)
PyTorch
TensorFlow
About the Role
Credibl ESG is on a mission to drive innovation and sustainability by harnessing the power of advanced AI. We’re looking for an AI Developer who can expertly bridge the gap between traditional machine learning and the emerging world of large language models (LLMs).
What You'll Bring:
Traditional ML Mastery:
Expertise in designing, benchmarking, and fine-tuning traditional machine learning models using frameworks such as scikit-learn, TensorFlow, and PyTorch.
Solid experience with feature engineering and model selection to deliver optimal solutions.
Statistical & Probabilistic Prowess:
A deep foundation in statistics and probabilistic models, including Bayesian inference, to build robust and reliable AI systems.
Production-Scale Engineering:
Proven track record of deploying AI solutions at scale.
Experience in building and maintaining data pipelines, containerization, and implementing CI/CD practices for seamless model deployment.
LLM & Modern AI Innovation:
Skilled in fine-tuning, prompt engineering, and benchmarking large language models (LLMs) to enhance performance for specific use cases.
Ability to integrate traditional ML techniques with cutting-edge LLM approaches for transformative AI solutions.
Cloud & MLOps Expertise:
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices to ensure efficient and reliable AI model lifecycle management.
Who You Are:
A resourceful and innovative AI professional with 3+ years of hands-on experience in AI/ML.
A strong communicator who excels in collaborative environments and has a proven track record of delivering production-grade solutions.
Passionate about continuously learning and applying emerging AI techniques to solve real-world sustainability challenges.
What You'll Bring:
Traditional ML Mastery:
Expertise in designing, benchmarking, and fine-tuning traditional machine learning models using frameworks such as scikit-learn, TensorFlow, and PyTorch.
Solid experience with feature engineering and model selection to deliver optimal solutions.
Statistical & Probabilistic Prowess:
A deep foundation in statistics and probabilistic models, including Bayesian inference, to build robust and reliable AI systems.
Production-Scale Engineering:
Proven track record of deploying AI solutions at scale.
Experience in building and maintaining data pipelines, containerization, and implementing CI/CD practices for seamless model deployment.
LLM & Modern AI Innovation:
Skilled in fine-tuning, prompt engineering, and benchmarking large language models (LLMs) to enhance performance for specific use cases.
Ability to integrate traditional ML techniques with cutting-edge LLM approaches for transformative AI solutions.
Cloud & MLOps Expertise:
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices to ensure efficient and reliable AI model lifecycle management.
Who You Are:
A resourceful and innovative AI professional with 3+ years of hands-on experience in AI/ML.
A strong communicator who excels in collaborative environments and has a proven track record of delivering production-grade solutions.
Passionate about continuously learning and applying emerging AI techniques to solve real-world sustainability challenges.
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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