Data Science AI Engineer, Professional 1
Gainwell Technologies
AWSAzureCloudGoogle Cloud PlatformHadoopNoSQLPythonPyTorchSparkSQLTensorflow
Data Science AI Engineer, Advisor
Gainwell Technologies
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇮🇳 India
Visit company websiteJob Level
SeniorLead
Tech Stack
AngularAWSAzureCloudGoogle Cloud PlatformHadoopJavaScriptNoSQLPythonPyTorchReactRuby on RailsSparkSQLTensorflowVue.js
About the role
- Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.
- Experienced in multiple LLM fine tuning techniques.
- Experienced in building GEN AI solutions using RAG architecture.
- Skilled in both Lang Chain and Lang Graph.
- Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
- Experienced in multiple Vector Databases as well as Graph Database.
- Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
- End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.
- Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
- System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration.
- Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
- Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
- AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.
- Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
- Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
- Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js
Requirements
- Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
- Total 10 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
- Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.
- Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
- Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.
- Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).
- Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
- Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.
Benefits
- Fully Remote Opportunity
- Minimal Travel Required – Occasional travel opportunities (0-10%)
- Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningGen AINLPcomputer visionAPI developmentMLOpsLLM Opsdata preprocessingfeature engineering
Soft skills
problem-solvingcollaborationinnovationworkflow optimizationcommunication
Certifications
Bachelor's degreeMaster's degree
