Remote Position
[Remote] Data Scientist/Senior AI Solutions Engineer /Sr AI ML Specialist
π Remote Β· United States
πΌ Full-time
Note: The job is a remote job and is open to candidates in USA. Tharu Technologies LLC is seeking a Senior AI Solutions Engineer/Senior AI/ML Specialist to build and scale intelligent systems that improve healthcare outcomes. The role designs, deploys, and supports production machine-learning and LLM systems, partnering with cross-functional teams and providing technical leadership.
Responsibilities
- Maintains active relationships with product, data, engineering, architecture, and business teams to translate business problems into scalable AI/ML solutions
- Applies AI/ML capabilities and modern AI tools to solve meaningful business problems, improve healthcare outcomes, and enable practical adoption across business workflows, digital products, and enterprise applications
- Owns the change request process and may coordinate with other teams as necessary
- Provides technical advice and weighs in on technical decisions that impact cross-functional teams, including AI/ML and advanced analytics solutions
- Researches and may propose new technologies, keeping abreast of developments in AI and applying them to enterprise use cases where relevant
- Designs, builds, and deploys end-to-end ML and LLM-based systems (data pipelines, models, prompts, APIs, and monitoring)
- Develops, evaluates, deploys, and monitors machine learning models for predictive, classification, optimization, personalization, and decision-support use cases
- Builds applied AI solutions such as semantic search, RAG pipelines, and embedding-based systems
- Develops production-ready AI/ML services, APIs, pipelines, and reusable components; improves performance, scalability, reliability, usability, and operational readiness in production
- Performs technical design reviews and code reviews; provides technical leadership through solution design, best practices, troubleshooting, and mentoring junior team members
- Assesses status and supports data information planning
- Coordinates on-call support and ensures effective monitoring of systems, including AI/ML model performance and reliability
- Mentors others and may lead multiple or small to medium-sized projects; influences engineering standards and technical direction
- Identifies and proposes strategies around technical problems affecting the team, communicates standards, and gains buy-in on solutions
Skills
- Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience; multi-dimensional platform experience; experience with business and technical applications, or any combination of education and experience, which would provide an equivalent background
- Masters or PhD preferred
- Advanced Python skills for machine learning and data processing preferred
- Experience across the full ML lifecycle (development deployment monitoring) preferred
- Hands-on experience with fine tuning SLMs, LLMs, embeddings, RAG, or modern NLP techniques using vector search technologies like OpenSearch preferred
- Experience building production AI systems (APIs, pipelines, microservices) preferred
- Experience designing evaluation frameworks for ML/LLM systems preferred
- Familiarity with responsible AI principles (fairness, explainability, privacy) preferred
- Experience with cloud-based ML platforms and scalable architectures (AWS Bedrock, or equivalent AI model cloud providers) preferred
- Healthcare domain experience, including familiarity with data privacy and regulatory requirements preferred
Benefits
- Remote role with some travel
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