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Job Description & How to Apply Below
Bachelor’s or Master’s degree in Computer Science
Experience:
Minimum of 11-13 years of experience
8+ years of experience in AI, ML, or data-driven solution development.
Skills:
Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, Chat Bots, and modern AI frameworks (e.g., Lang Chain, Lang Graph Llama Index).
Proficient in Python with solid foundations in Data Structures & Algorithm, with familiarity in deep learning frameworks (PyTorch, Tensor Flow, JAX, or Transformers).
Experience with popular model training and serving frameworks like MLFlow, KServe, Kube Flow, Triton etc.
Past experience in Databricks, Terraform, Jenkins & AWS will be plus
Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
Collaborative mindset with experience working closely with product managers, engineers, and customers.
Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
Equal Opportunity Statement:
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client
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