Build the Future of Enterprise AI
Join our team of world-class AI engineers, data scientists, and researchers building next-generation analytics for Fortune 500 companies.
Why Join ZYNOVIQ PROFITGUARD?
We're on a mission to transform how enterprises make data-driven decisions. Join us to work on challenging problems at scale.
Comprehensive health insurance, mental health support, and wellness programs
Conference attendance, online courses, certifications, and research paper budget
Flexible hours, remote work options, generous PTO, and parental leave
Work with latest AI/ML technologies, cloud platforms, and enterprise systems
Our Impact
Open Positions
We're actively hiring talented AI engineers and data scientists
Key Responsibilities:
- Design and implement ML models for financial data analysis
- Build scalable AI pipelines for real-time data processing
- Collaborate with product team to define AI feature roadmap
- Optimize model performance and accuracy
- Mentor junior engineers and conduct code reviews
Requirements:
- 5+ years of experience in AI/ML engineering
- Strong expertise in Python, TensorFlow, PyTorch, or scikit-learn
- Experience with NLP, anomaly detection, or predictive analytics
- Knowledge of cloud platforms (AWS/Azure/GCP)
- MS or PhD in Computer Science, AI, or related field preferred
Key Responsibilities:
- Develop and train ML models for financial anomaly detection
- Implement recommendation engines for cost optimization
- Build data pipelines for feature engineering
- Deploy models to production using MLOps best practices
- Monitor and improve model performance over time
Requirements:
- 3-5 years of experience in machine learning
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with SQL and data processing (Pandas, Spark)
- Understanding of MLOps and model deployment
- Bachelor's or Master's degree in Computer Science or related field
Key Responsibilities:
- Research and prototype novel AI algorithms for financial analytics
- Publish research findings in conferences and journals
- Collaborate with engineering team to productionize research
- Stay current with latest AI/ML research and trends
- Build proof-of-concepts for new product features
Requirements:
- 4+ years of experience in AI research or applied ML
- Publications in top-tier conferences (NeurIPS, ICML, CVPR, etc.)
- Strong mathematical foundation in ML, statistics, and optimization
- Experience with deep learning, reinforcement learning, or NLP
- PhD in Computer Science, AI, or related field preferred
Key Responsibilities:
- Analyze large-scale financial datasets for insights
- Build predictive models for spend forecasting and risk assessment
- Design experiments and A/B tests for product features
- Create data visualizations and executive dashboards
- Collaborate with customer success team on data-driven solutions
Requirements:
- 3-5 years of experience in data science or analytics
- Strong skills in Python, SQL, and statistical analysis
- Experience with ML libraries and data visualization tools
- Knowledge of financial data and accounting principles
- Master's degree in Data Science, Statistics, or related field
Key Responsibilities:
- Develop full-stack features integrating AI/ML capabilities
- Build RESTful APIs for ML model serving
- Create responsive frontend interfaces for AI insights
- Implement real-time data processing and visualization
- Optimize application performance and scalability
Requirements:
- 4+ years of full-stack development experience
- Proficiency in Python/Node.js and React/Next.js
- Experience integrating ML models into web applications
- Knowledge of cloud services and containerization (Docker/Kubernetes)
- Bachelor's degree in Computer Science or related field
Don't See Your Role?
We're always looking for talented individuals. Send us your resume and tell us how you can contribute to our mission.
Contact UsEmail: careers@zynoviqprofitguard.com | WhatsApp: +91 9962463222