Sigmoid
About this role
The senior AI engineering role at Sigmoid, and the requirement list is one of the most current in today's edition. It asks for Python with TensorFlow, PyTorch and Hugging Face Transformers, hands on LangChain or similar LLM application frameworks, and a solid understanding of vector databases, RAG architectures and prompt engineering, alongside MLOps tooling (MLflow, Kubeflow, Airflow, Docker, Kubernetes) and cloud AI platforms. Fine tuning experience with LoRA and parameter efficient training is listed as nice to have. The work is building production AI systems and mentoring junior AI engineers, plus responsible AI duties covering bias mitigation, fairness and explainability. One thing to check yourself: it asks for a minimum Master's degree in a technical field, which is a genuine eligibility filter rather than a preference. Hyderabad.
Who this is for
Required by the posting under Must Have: 5 to 8 years of experience in AI/ML engineering with at least 2 years leading AI initiatives. Strong expertise in Python, TensorFlow, PyTorch and Hugging Face Transformers. Hands on experience with LangChain or similar LLM application frameworks. Solid understanding of vector databases, RAG architectures and prompt engineering. Proficiency in MLOps tools including MLflow, Kubeflow, Airflow, Docker and Kubernetes. Familiarity with cloud AI platforms including AWS SageMaker, GCP Vertex AI and Azure ML. Strong background in data pipelines, APIs and scalable system design.
Nice to have: experience fine tuning LLMs with LoRA, PEFT or parameter efficient training; knowledge of computer vision or multimodal AI; familiarity with responsible AI frameworks and explainability tools such as SHAP, LIME and Captum; and contributions to open source AI projects.
Education, and this one is a real filter: the posting requires a minimum Master's degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or a related technical field. If you have a Bachelor's only, this specific requisition will screen you out regardless of experience.
The real day to day: building production AI systems, assessing emerging frameworks for adoption, mentoring junior AI engineers and promoting best practices in AI engineering, working with business stakeholders to translate requirements into AI driven outcomes, and ensuring adherence to responsible AI principles including bias mitigation, fairness and explainability.
⚠️ A years contradiction inside the posting, which we publish honestly rather than picking the flattering number: the Must Have section says 5 to 8 years of AI/ML engineering experience, while the Desired Experience section further down says 4 to 8 years of relevant Machine Learning experience. Sigmoid's own Greenhouse metadata records a minimum of 4 and a maximum of 8. We have published 5 to 8 because that is the harder requirement stated in the mandatory section, but if you are at 4 years the posting itself gives you grounds to apply.
Note on the "leading AI initiatives" requirement: read in context with the responsibilities, this is technical leadership of AI projects and mentoring, not people management. There are no direct reports or hiring duties in the posting.
Location: Hyderabad.
Nice to have: experience fine tuning LLMs with LoRA, PEFT or parameter efficient training; knowledge of computer vision or multimodal AI; familiarity with responsible AI frameworks and explainability tools such as SHAP, LIME and Captum; and contributions to open source AI projects.
Education, and this one is a real filter: the posting requires a minimum Master's degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or a related technical field. If you have a Bachelor's only, this specific requisition will screen you out regardless of experience.
The real day to day: building production AI systems, assessing emerging frameworks for adoption, mentoring junior AI engineers and promoting best practices in AI engineering, working with business stakeholders to translate requirements into AI driven outcomes, and ensuring adherence to responsible AI principles including bias mitigation, fairness and explainability.
⚠️ A years contradiction inside the posting, which we publish honestly rather than picking the flattering number: the Must Have section says 5 to 8 years of AI/ML engineering experience, while the Desired Experience section further down says 4 to 8 years of relevant Machine Learning experience. Sigmoid's own Greenhouse metadata records a minimum of 4 and a maximum of 8. We have published 5 to 8 because that is the harder requirement stated in the mandatory section, but if you are at 4 years the posting itself gives you grounds to apply.
Note on the "leading AI initiatives" requirement: read in context with the responsibilities, this is technical leadership of AI projects and mentoring, not people management. There are no direct reports or hiring duties in the posting.
Location: Hyderabad.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.