Job Description: Engineering at Innovaccer
With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world.
About the Role
We at Innovaccer are looking for a Staff Engineer specializing in Artificial Intelligence (AI) who leads the design, development, and deployment of advanced AI systems. This role requires deep technical expertise, leadership capabilities, and a strong ability to align AI solutions with business objectives.
Responsibilities
- Design, build, and optimize machine learning (ML) and deep learning (DL) models, including generative AI frameworks like transformers and GANs.
- Develop end-to-end AI system architectures that integrate with existing business platforms.
- Build and manage data ingestion, transformation pipelines, and infrastructure to support scalable AI solutions.
- Conduct statistical analyses, run experiments, and interpret results to guide decision-making.
- Deploy AI models into production environments, monitor performance, and ensure continuous improvement.
- Work closely with data scientists, software engineers, product managers, and business stakeholders to align AI initiatives with organizational goals.
- Identify potential biases in AI models and ensure ethical considerations are addressed during development.
- Mentored junior engineers, set technical standards, and led the team in adopting cutting-edge technologies.
Requirements
- 8+ years of experience in software engineering or data science roles with a focus on AI/ML.
- Proven track record of designing scalable AI systems in production environments.
- Experience with natural language processing (NLP), computer vision (CV), or other specialized AI domains.
- Proficiency in programming languages such as Python and Scala.
- Expertise in ML/DL frameworks like TensorFlow, PyTorch, or Keras.
- Strong foundation in mathematics (linear algebra, calculus, probability) and statistics.
- Knowledge of generative AI techniques (e.g., LLMs) and prompt engineering.
- Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
- Familiarity with APIs for integrating AI models into applications.
- Strong problem-solving abilities and analytical thinking.
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (Master’s degree preferred).
Benefits
- Generous PTO benefits: 22 days per year.
- Advanced parental leave policies.
- Rewards & recognition programs with monetary incentives.
- Medical, dental, and vision insurance.
- Company-sponsored short and long-term disability and life insurance.
- Discounted legal aid and pet insurance.
About Innovaccer
Innovaccer activates healthcare data flow, empowering providers, payers, and government bodies to deliver smarter, connected health experiences. Our Healthcare Intelligence Cloud converts fragmented data into proactive actions to improve outcomes. Trusted by leading healthcare organizations.
Learn more at www.innovaccer.com
Job Highlights
Qualifications
- 8+ years of experience in AI-focused software engineering or data science.
- Proven experience designing scalable AI systems.
- Specialized knowledge in NLP, CV, or other AI domains.
- Proficiency in Python and Scala.
- Experience with frameworks like TensorFlow, PyTorch, Keras.
- Math skills in linear algebra, calculus, probability.
- Knowledge of generative AI, LLMs, prompt engineering.
- Experience with big data tools and cloud platforms.
- API integration skills.
- Strong analytical and problem-solving skills.
Benefits
- Competitive benefits including generous PTO, parental leave, rewards, and insurance.
Responsibilities
- Design, optimize, and deploy ML/DL models, including generative AI.
- Architect end-to-end AI systems.
- Manage data pipelines and infrastructure.
- Analyze, experiment, and derive insights.
- Ensure AI model performance and ethics.
- Lead and mentor engineering teams.