Posted:2 days ago|
Platform:
On-site
Full Time
If you thrive in fast-moving environments, enjoy solving problems end-to-end, and want to directly shape the future of AI solutions, this is for you.
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• Design, train, and fine-tune models (NLP, LLMs, multimodal, RL).
• Optimize deep neural networks and transformer architectures (e.g., GPT, Gemini, LLaMA etc.,).
• Deploy and scale models via Docker/Kubernetes, REST/gRPC APIs.
• Preprocess and clean structured/unstructured data for production.
• Build robust pipelines (Airflow, Spark, or custom ETL).
• Implement advanced feature extraction and dimensionality reduction.
• Stay on top of AI trends (GenAI, RAG, multimodal learning, prompt engineering).
• Experiment and bring forward practical innovations to products.
• Document learnings via internal knowledge bases, blogs, or POCs.
• Work closely with product owners, researchers, engineers, and client-facing teams.
• Take ownership of technical discussions with clients when needed.
• Mentor junior engineers as the team scales.
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• Proficiency in Python and modern frameworks (PyTorch, TensorFlow, JAX, VertexAI).
• Experience with NLP, Generative AI, Reinforcement Learning.
• Familiarity with model serving, cloud platforms (Any one cloud from AWS/GCP/Azure is fine).
• Knowledge of vector databases, embeddings, RAG pipelines.
• Strong problem-solving mindset, willingness to “own” outcomes.
• Excellent communication and adaptability in startup environments.
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Integer IT Solutions
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