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Role : Generative AI Architect & Lead Data Scientists

Location: Bangalore | Pune | Gurgaon | Noida

Employment Type: Full-time

Notice Period: Maximum 60 Days

About the Role

We’re seeking a highly skilled Generative AI Architect & Lead Data Scientists to design, develop, and deploy enterprise-grade AI solutions And drive innovative AI/ML projects and lead a team in developing scalable models that solve complex business challenges in insurance and risk management Respectively.

Key Responsibilities Generative AI Architect :

• Architect and lead the design of GenAI solutions , including LLM integration, fine-tuning, and prompt engineering.
• Collaborate with product, data, and engineering teams to define and implement AI-driven strategies.
• Drive POC development and production deployment with a focus on scalability and performance.
• Evaluate emerging GenAI frameworks (LangChain, RAG, vector databases, etc.) and integrate them into enterprise systems.
• Define reference architectures , reusable components , and AI adoption frameworks .
• Mentor AI/ML teams and ensure best practices in design and delivery.
• Stay updated on the latest trends in GenAI, NLP, and multimodal AI.

Key Responsibilities Lead Data Scientists:

• Lead end-to-end data science initiatives — from problem definition to deployment and performance monitoring.
• Develop advanced ML and AI models for pricing, underwriting, claims prediction, fraud detection, and risk scoring.
• Collaborate with business, engineering, and data teams for successful model implementation.
• Mentor and guide data scientists, ensuring model quality, explainability, and reproducibility.
• Communicate insights and technical outcomes to both technical and non-technical stakeholders.
• Stay up to date with emerging AI/ML and GenAI advancements to integrate into ongoing projects.

Senior AI Engineer – Growify (Full-Time)

About Growify

Growify is a leading e-commerce growth agency specializing in the luxury and fashion sectors. The company delivers comprehensive end-to-end services to help brands scale online, offering expertise in web development, advertising, performance marketing, social media management, and sales optimization. Growify partners with brands to increase their online presence, effectively manage digital campaigns, and boost overall revenue through data-driven strategies and advanced marketing analytics(1)(2)(3). The company is committed to using the latest technology—including AI-powered dashboards—to provide real-time insights, omnichannel attribution, and tailored growth solutions for its clients.

About The Role

Growify is establishing a dedicated AI department to build the next generation of intelligent, AI-driven products that will transform e-commerce for global brands. As a Senior AI Engineer, you will shape the integration of AI across Growify’s platform, leading projects while also mentoring and guiding the junior AI team.

You will be at the forefront of AI innovation, working with both traditional machine learning and cutting-edge LLM-based and agentic AI architectures, maintaining a strong technical focus while influencing Growify’s AI culture and strategy.

What You’ll Do Most Of The Time

- Design, build, and deploy production-grade AI systems—from classical ML (using TensorFlow, PyTorch, or scikit-learn) to modern LLM-powered and agentic AI features.

- Lead projects from ideation to execution, handling architecture, modeling, evaluation, and deployment.

- Work with unstructured data, embeddings, vector databases, and tackle complex real-world data challenges.

- Evaluate and integrate LLM frameworks such as OpenAI, HuggingFace, LangChain, or Ollama where relevant.

- Deliver impactful AI capabilities in collaboration with product and engineering teams, focusing on user and business outcomes.

- Mentor junior engineers, fostering rapid learning, clean coding practices, and strong problem-solving skills.

- Guide and upskill the junior AI team by sharing best practices, reviewing their work, and encouraging responsibility.

- Stay updated on advancements in AI/ML and agentic AI, helping shape Growify’s technical and strategic direction.

What You’ll Need To Qualify

- 4+ year's hands-on experience in software or AI/ML development, including at least 3 years in deep learning or machine learning (TensorFlow, PyTorch, or scikit-learn).

- 1+ years of industry experience with large language models (LLMs) and familiarity with their deployment in production.

- Practical exposure to agentic AI architectures (LLM agents or autonomous workflows).

- Strong background in statistics and probability as applied to real-world AI/ML problems.

- Excellent communication and critical thinking skills—you are as comfortable explaining your decisions as making them.

- Experience building and deploying ML or LLM systems, including end-to-end ML workflows, data pipelines, APIs, and vector search.

- Prior experience with project ownership or mentoring/leading team members.

Preferred Skills

You don't need them all—enthusiasm to learn is highly valued:

- Hands-on with OpenAI, HuggingFace, LangChain, or similar frameworks

- Familiarity with FastAPI, Docker, or MLOps tools (MLflow, Airflow)

- Experience with vector databases (FAISS, Pinecone, Qdrant)

- Background in prompt engineering, retrieval-augmented generation (RAG), and generative output evaluation

- Ability to evaluate and optimize deployments, balancing performance, cost, and complexity

What You’ll Get

- The chance to lead and contribute as part of an AI-first team working on high-impact challenges in e-commerce.

- Opportunity to grow into a leadership role while maintaining technical hands-on work.

- Industry-best salary with strong growth prospects.

- Mentorship, autonomy, and project ownership from your first day.

- Five-day work week.

- PF (Provident Fund).

Growify seeks a visionary AI expert dedicated to building world-class standards, mentoring junior engineers, and leading by example as the company continues to shape the digital future of luxury and fashion brands.

Hlo Chandika ma'am(@⁨Chandika BM Growify⁩) we have created the job description for the senior AI expert, check the jd once and then I will tag rishab sir

• Lead the architecture and development of sophisticated computer vision systems from concept to production.
• Design, implement, and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis.
• Conduct research and experimentation to explore novel approaches and algorithms in computer vision.
• Collaborate with cross-functional teams, including product managers and software engineers, to define project requirements and deliver high-quality AI solutions.
• Mentor and guide junior AI engineers, providing technical leadership and fostering best practices in code quality, testing, and deployment.
• Stay current with the latest research and advancements in computer vision, machine learning, and deep learning.
• Develop robust pipelines for data preprocessing, model training, evaluation, and deployment.
• Optimize model performance for efficiency, accuracy, and scalability on various hardware platforms.
• Contribute to the company's intellectual property through patents and publications.
• Troubleshoot and resolve complex technical issues in production AI systems.
• Evaluate and integrate third-party libraries and tools to enhance the development process.
• Present technical findings and project updates to stakeholders.

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Minimum of 7 years of professional experience in developing and deploying computer vision systems.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong proficiency in programming languages like Python, C++, and associated libraries (OpenCV, scikit-learn, NumPy).
• Proven experience with various computer vision algorithms and techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
• Excellent understanding of model optimization, performance tuning, and deployment strategies.
• Strong analytical and problem-solving skills.
• Exceptional communication and interpersonal skills, with the ability to lead technical discussions and mentor team members.
• Demonstrated ability to work independently and drive projects to completion in a remote setting.
• Track record of publications in top-tier AI/CV conferences or journals is a significant plus.

Company Description

Every day, thousands of patients across India face delays, stress, and reduced quality of care due to cumbersome administrative processes and insurance claim challenges. At Vitraya, we directly confront these issues by using advanced AI to streamline healthcare operations, eliminate administrative friction, and ensure healthcare providers can fully focus on patient outcomes.

Role Description

This is a full-time role for a Senior Fullstack AI/ML Engineer. The selected candidate will be responsible for designing, developing, and implementing AI and machine learning models, with a focus on pattern recognition and neural networks. Daily tasks include coding and software development, data analysis, and improving existing algorithms. The Senior Fullstack AI/ML Engineer will work closely with cross-functional teams to ensure the integration of AI solutions into the claims settlement process.

We are looking for a passionate Senior AI/ML Engineer committed to building transformative solutions that positively impact patient care and healthcare delivery.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.
• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.
• Fine-tune pre-trained models and develop custom models based on specific business needs.
• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.
• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.
• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.
• Ensure scalability and performance of deployed AI solutions within the full application stack.
• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.
• Design and implement APIs or services that expose machine learning models to frontend or other systems
• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.
• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.
• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.
• Document processes, methodologies, and results for future reference and reproducibility.

Why Join Us:

• Direct Patient Impact: Your contributions will significantly enhance patient care quality and reduce administrative burdens on healthcare providers.
• Innovation with Real Outcomes: Be part of pioneering AI applications that provide tangible, measurable improvements in healthcare.
• Professional Growth: Tackle unique, meaningful challenges that will sharpen your skills and offer growth in a supportive, collaborative environment.
• Empowered Team: Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of a dedicated, mission-driven team.

Required Skills & Qualifications

• Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.
• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.
• Experience building full-stack applications powered by AI (e.g., chatbots,
• recommendation dashboards, AI assistants, etc.).
• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.
• Solid understanding of statistics and probability.
• Experience working in Agile development environments.

• Lead the design, development, and implementation of scalable machine learning models and AI solutions.
• Architect robust ML pipelines for data processing, model training, evaluation, and deployment.
• Mentor and guide a team of AI/ML engineers, fostering technical excellence and collaborative problem-solving.
• Collaborate with product managers and stakeholders to define AI strategy and identify opportunities for ML integration.
• Conduct research and stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
• Develop and deploy models into production environments, ensuring performance, scalability, and reliability.
• Optimize existing ML models and algorithms for improved accuracy, efficiency, and performance.
• Design and implement A/B testing and other experimental frameworks to evaluate model effectiveness.
• Ensure ethical considerations and data privacy are integrated into all AI/ML development processes.
• Contribute to the overall technology roadmap and strategic direction of AI initiatives.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Champion best practices in MLOps, version control, and code quality within the team.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• 5-7 years of hands-on experience in developing and deploying machine learning models in production.
• Strong expertise in programming languages such as Python, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of various ML algorithms (e.g., supervised, unsupervised, deep learning), statistical modeling, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proven experience leading technical teams and managing ML projects from conception to deployment.
• Excellent understanding of data structures, algorithms, and software engineering best practices.
• Strong analytical and problem-solving skills, with the ability to tackle complex challenges.
• Exceptional communication and interpersonal skills, capable of collaborating effectively with diverse teams.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.

• Design, develop, train, and deploy machine learning models and algorithms for various applications.
• Conduct research and experimentation to explore new AI/ML techniques and technologies.
• Process, clean, and transform large datasets to prepare them for model training.
• Develop and implement robust data pipelines and MLOps workflows.
• Collaborate with product managers, software engineers, and domain experts to understand business needs and translate them into AI/ML solutions.
• Evaluate and select appropriate ML frameworks, tools, and libraries.
• Optimize model performance for accuracy, scalability, and efficiency.
• Develop and maintain documentation for AI/ML models, code, and processes.
• Stay current with the latest advancements in AI, ML, and related fields.
• Contribute to the development of AI strategy and roadmap.
• Mentor junior engineers and share knowledge within the team.
• Present research findings and project outcomes to technical and non-technical audiences.
• Ensure ethical considerations and bias mitigation in AI model development.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in developing and deploying AI/ML models in a production environment.
• Strong programming skills in Python, and familiarity with ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
• Deep understanding of various ML algorithms (supervised, unsupervised, deep learning).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and a strong analytical mindset.
• Proven ability to work independently and as part of a distributed team.
• Strong communication and collaboration skills.
• Experience with MLOps practices and tools is highly desirable.
• A portfolio of successful AI/ML projects is a significant advantage.