On-Site
Full-Time
Bengaluru, Karnataka
India
Skills
Artificial Intelligence (AI)
MLOps
Machine Tools
Large Language Models (LLM)
Retrieval-Augmented Generation (RAG)
Continuous Integration (CI)
Computer Vision
Machine Learning
Generative AI
Enterprise Software
Deep Learning
About the Role
Who Are We?
NewPage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing our health and optimizing the longevity of people. We do this by passionately building futuristic technologies for global organizations across the healthcare eco-system. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
NewPage is recognized by ‘CIO’s Review ’as “Top 50 Promising Healthcare Solution Providers” and “Great Place to Work Certified (GPTW) 2023 and 2024.”
What We Offer?
We are shaping a company that works smartly and grows with agility.
We offer you a flexible work environment where you will engage with intelligent colleagues, seamlessly collaborating to develop inventive technologies that solve our clients’ business challenges.
As part of our team, you will enjoy an employee-centric culture, supportive peers, work life balance, generous earnings and opportunities for growth and development.
Who do we need?
We are looking for AI/ML & Generative AI Senior Developer to drive the design, development, and deployment of cutting-edge AI and ML solutions. The ideal candidate will have deep expertise in Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI), with a strong engineering background in building scalable, enterprise-grade AI systems. This role will involve leading AI initiatives, designing system architectures, and collaborating with cross-functional teams to integrate AI-driven solutions into business workflows.
Qualifications:
Design and implement robust, scalable, and high-performance AI/ML and Generative AI architectures for enterprise applications.
Evaluate and select appropriate AI/ML models, frameworks, and technologies based on
business requirements.
Optimize AI models for efficiency, scalability, and accuracy while ensuring responsible AI
practices.
Lead the adoption of LLMs (Large Language Models), transformers, and multimodal AI models for innovative applications.
Define best practices for model training, fine-tuning, and inference optimization.
Ensure AI models adhere to industry standards, ethical AI principles, and regulatory requirements (e.g., GDPR, AI Act).
Lead the end-to-end engineering lifecycle for AI/ML products, from research to deployment and monitoring.
Architect and implement MLOps pipelines for continuous integration, deployment, monitoring, and governance of AI models.
Drive automation in AI development, testing, and deployment to improve efficiency and reduce manual efforts.§ Collaborate with Data Engineering, Cloud, and DevOps teams to build and maintain AI infrastructure.
Ensure AI solutions are secure, robust, and cost-efficient across cloud and onprem environments.
Stay ahead of the latest trends in AI, ML, and GenAI, identifying opportunities for business transformation.
Define AI strategies and roadmaps to align AI capabilities with organizational goals.
Research and evaluate emerging AI/ML technologies, open-source models, and industry best practices.
Advocate for AI-driven solutions and educate stakeholders on AI’s potential impact.
Lead and mentor AI/ML engineers, data scientists, and researchers in developing AI-driven
solutions.
Foster a culture of innovation, knowledge sharing, and best practices within the AI/ML team.
Work closely with Product, Engineering, and Business teams to ensure AI solutions align with user needs and business objectives.
Define AI governance, risk, and compliance frameworks in collaboration with Legal and Ethics teams.
Technical Skills:
AI/ML Expertise: Strong knowledge of Supervised, Unsupervised, and Reinforcement Learning, Deep Learning, NLP, and Computer Vision.
Generative AI: Hands-on experience with LLMs (GPT, LLaMA, etc.) and fine-tuning custom models.
MLOps & DevOps: Hands-on experience with Kubeflow, MLflow, AWS SageMaker, Azure ML, Google Vertex AI, Docker, Kubernetes, CI/CD pipelines.
ML Frameworks: Proficiency in TensorFlow, PyTorch, Keras, Scikit-learn, and Hugging Face.
Good to have skills:
Data Engineering: Experience with feature engineering, data pipelines, and ETL workflows using tools like Apache Spark, Databricks, Airflow, Kafka.
Experience in Stable Diffusion, DALL·E, MidJourney
Cloud & Infrastructure: Strong expertise in AWS, Azure, or GCP for AI/ML workloads, along with experience in on-premises AI deployments.
Security & Compliance: Knowledge of AI security, privacy frameworks, and regulatory compliance (GDPR, AI Act, SOC 2, HIPAA).
NewPage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing our health and optimizing the longevity of people. We do this by passionately building futuristic technologies for global organizations across the healthcare eco-system. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
NewPage is recognized by ‘CIO’s Review ’as “Top 50 Promising Healthcare Solution Providers” and “Great Place to Work Certified (GPTW) 2023 and 2024.”
What We Offer?
We are shaping a company that works smartly and grows with agility.
We offer you a flexible work environment where you will engage with intelligent colleagues, seamlessly collaborating to develop inventive technologies that solve our clients’ business challenges.
As part of our team, you will enjoy an employee-centric culture, supportive peers, work life balance, generous earnings and opportunities for growth and development.
Who do we need?
We are looking for AI/ML & Generative AI Senior Developer to drive the design, development, and deployment of cutting-edge AI and ML solutions. The ideal candidate will have deep expertise in Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI), with a strong engineering background in building scalable, enterprise-grade AI systems. This role will involve leading AI initiatives, designing system architectures, and collaborating with cross-functional teams to integrate AI-driven solutions into business workflows.
Qualifications:
Design and implement robust, scalable, and high-performance AI/ML and Generative AI architectures for enterprise applications.
Evaluate and select appropriate AI/ML models, frameworks, and technologies based on
business requirements.
Optimize AI models for efficiency, scalability, and accuracy while ensuring responsible AI
practices.
Lead the adoption of LLMs (Large Language Models), transformers, and multimodal AI models for innovative applications.
Define best practices for model training, fine-tuning, and inference optimization.
Ensure AI models adhere to industry standards, ethical AI principles, and regulatory requirements (e.g., GDPR, AI Act).
Lead the end-to-end engineering lifecycle for AI/ML products, from research to deployment and monitoring.
Architect and implement MLOps pipelines for continuous integration, deployment, monitoring, and governance of AI models.
Drive automation in AI development, testing, and deployment to improve efficiency and reduce manual efforts.§ Collaborate with Data Engineering, Cloud, and DevOps teams to build and maintain AI infrastructure.
Ensure AI solutions are secure, robust, and cost-efficient across cloud and onprem environments.
Stay ahead of the latest trends in AI, ML, and GenAI, identifying opportunities for business transformation.
Define AI strategies and roadmaps to align AI capabilities with organizational goals.
Research and evaluate emerging AI/ML technologies, open-source models, and industry best practices.
Advocate for AI-driven solutions and educate stakeholders on AI’s potential impact.
Lead and mentor AI/ML engineers, data scientists, and researchers in developing AI-driven
solutions.
Foster a culture of innovation, knowledge sharing, and best practices within the AI/ML team.
Work closely with Product, Engineering, and Business teams to ensure AI solutions align with user needs and business objectives.
Define AI governance, risk, and compliance frameworks in collaboration with Legal and Ethics teams.
Technical Skills:
AI/ML Expertise: Strong knowledge of Supervised, Unsupervised, and Reinforcement Learning, Deep Learning, NLP, and Computer Vision.
Generative AI: Hands-on experience with LLMs (GPT, LLaMA, etc.) and fine-tuning custom models.
MLOps & DevOps: Hands-on experience with Kubeflow, MLflow, AWS SageMaker, Azure ML, Google Vertex AI, Docker, Kubernetes, CI/CD pipelines.
ML Frameworks: Proficiency in TensorFlow, PyTorch, Keras, Scikit-learn, and Hugging Face.
Good to have skills:
Data Engineering: Experience with feature engineering, data pipelines, and ETL workflows using tools like Apache Spark, Databricks, Airflow, Kafka.
Experience in Stable Diffusion, DALL·E, MidJourney
Cloud & Infrastructure: Strong expertise in AWS, Azure, or GCP for AI/ML workloads, along with experience in on-premises AI deployments.
Security & Compliance: Knowledge of AI security, privacy frameworks, and regulatory compliance (GDPR, AI Act, SOC 2, HIPAA).
Apply for this position
Application Status
Application Draft
In Progress
Submit Application
Pending
Review Process
Expected within 5-7 days
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