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At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands. Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI. Want to become a key part of the Generative AI revolution? We should talk. We are seeking a Data Science Manager to lead a team of Data Scientists in developing and deploying state-of-the-art AI models. This includes LLMs (Large Language Models), Multimodal LLMs (MLLMs), and NLP/NLU-based solutions. Your role will involve driving AI innovation, fine-tuning strategies, ensuring scalability and governance, and working closely with engineering, product, and business teams to align AI/ML initiatives with Netomi’s product roadmap. Key Responsibilities: Leadership & Strategy - Lead, mentor, and scale a high-performing team of Data Scientists. Define and execute the AI/ML strategy, aligning it with business objectives and product goals. Collaborate with engineering, product, and business stakeholders to deliver AI-driven solutions. AI/ML Research & Development - Architect and deploy conversational AI models, including LLM fine-tuning using LoRA (Low-Rank Adaptation) and other parameter-efficient tuning techniques. Multimodal AI models (MLLMs) integrating text, images, and other data sources. NLP/NLU models optimized for customer service and personalization. Optimize AI/ML pipelines for speed, scalability, and cost-efficiency. Design AI governance frameworks, including model monitoring, bias mitigation, and explainability. Model Training & Fine-Tuning - Oversee data collection, annotation, and preparation for model training. Implement state-of-the-art fine-tuning methods to enhance LLM performance. Leverage Retrieval-Augmented Generation (RAG) and knowledge distillation to enhance AI capabilities. Scalability & ML Ops - Work with engineering teams to deploy models using scalable ML Ops practices.Optimize data pipelines, including RDS, Elasticsearch, and vector databases for AI applications. Ensure continuous model monitoring, retraining, and performance optimization. AI Governance & Security - Implement AI model governance, compliance, and risk mitigation strategies. Develop ethical AI frameworks for fairness, transparency, and security. Ensure PII (Personally Identifiable Information) masking and anonymization for privacy protection. Requirements 7+ years of experience in Data Science, with a focus on NLP, Deep Learning, or LLMs. 4+ years of experience managing data science teams. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, sci-kit-learn). Experience working in a startup is mandatory. We need someone who can thrive in a fast-moving, high-impact environment, driving AI initiatives from concept to production at scale. Expertise in LLMs, deep learning, NLP, and chatbot development. Strong knowledge of statistical modelling, probability, and experimental design. Experience with LLM fine-tuning, RAG, LoRA, and transformer models (GPT, BERT, etc.). Ability to rapidly comprehend and implement research papers in AI/NLP. Experience in ML Ops, model deployment, and optimization techniques. Strong communication skills to collaborate with technical and non-technical stakeholders. Good-to-Have (Bonus) Skills: Experience with large-scale data processing (Hadoop, Spark) and distributed computing. Familiarity with vector databases, RDS, and Elasticsearch for AI applications. Knowledge of Multimodal AI, Speech Recognition, and NLG (Natural Language Generation) Background in AI security, model governance, and bias mitigation strategies. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
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Lead end-to-end design for core banking experience
Manage multiple large-scale projects concurrently
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Lead end-to-end design for core banking experience
Manage large-scale projects
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Design and develop deep learning models for document verification
Own ML solutions end-to-end: data, training, deployment, monitoring
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Lead pre-sales efforts for large enterprise accounts
Drive adoption of ML & AI solutions
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Lead a team of Data Engineers and Analytics Engineers
Own and manage data infrastructure and data pipelines
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Analyze customer datasets for insights
Explain model performance and risk policies
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Lead cross-functional team towards onboarding goals
Drive conversion through feature identification
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Model, structure, and develop new financial products
Improve existing products for homeowners and partners
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Lead end-to-end design for core banking experiences
Manage multiple large-scale projects simultaneously
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Work on cross-team projects
Lead parts of projects for quality results
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Develop and implement data science and ML solutions
Maintain data pipelines with SQL and Snowflake
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Lead end-to-end design for core banking experience
Manage multiple large-scale projects simultaneously
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Partner with product and commercial teams to shape roadmap through insights.
Lead, mentor, and grow a team of product analysts.
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Define metrics and requirements
Build and maintain dashboards
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Detect and prevent fraud at scale
Own end-to-end ML systems
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Lead and scale EV product features
Define long-term EV integrations strategy
Posted 3 days ago
Lead end-to-end design for core banking experience
Manage multiple large-scale projects simultaneously
Posted 3 days ago
Deliver key product capabilities for Catalog Insights
Design and build data pipelines processing large data volumes
Posted 3 days ago
Own the AI-powered product strategy and roadmap
Identify automation opportunities tied to user pain and outcomes
Posted 9 days ago
Lead strategy, design, and execution of RWE programs in oncology
Generate high-quality RWE to inform development decisions and label expansion
Posted 26 days ago
Develop cutting-edge GenAI solutions
Own production rollouts of GenAI applications
Posted 31 days ago
Deliver insights and analytics to uncover strategic opportunities.
Empower stakeholders with self-serve data tools.
Posted 31 days ago
Design realistic evaluation scenarios for AI agents
Create structured test cases and define gold-standard behavior
Posted 35 days ago
Seeking a talented Senior Developer for a remote job with decent compensation
Connecting Senior Developers with startups in the US and Europe
Posted 43 days ago
Lead a team of engineers in developing and maintaining products and systems.
Recruit, grow, and empower a team of engineers.
Posted 70 days ago
Delivering insights and analytics to uncover strategic opportunities
Driving faster user-centric decisions
Posted 72 days ago
Utilize data science techniques to optimize operational processes.
Collaborate with cross-functional teams for data-driven decisions.
Posted 73 days ago
Contribute to machine learning projects
Analyze data and develop models
Posted 84 days ago
Support statewide efforts to end veteran homelessness
Collect and synthesize data to identify trends
Posted 106 days ago
Develop an interpretable recommendation engine for product selection.
Replace legacy algorithm with robust statistical models.
Posted 121 days ago
Build and deploy advanced GenAI solutions
Advise customers on AI application strategies
Posted 139 days ago
Drive enterprise sales for Dataiku platform
Advise clients on data-driven strategies
Posted 139 days ago
Qualify sales opportunities collaboratively
Conduct customer discovery and requirements analysis
Posted 149 days ago
Lead customer big data projects
Design and deploy scalable data solutions
Posted 153 days ago
Develop innovative GenAI applications
Deploy and optimize production-grade ML solutions
Posted 157 days ago
Develop and deploy ML models for financial services
Automate and enhance customer service using ML and NLP
Posted 158 days ago
Develop and automate compliance dashboards and reports
Support regulatory reporting and audit readiness
Posted 159 days ago
Develop and deploy advanced GenAI applications
Advise customers on AI solutions and best practices
Posted 161 days ago
Lead and scale a global analytics team
Drive business impact through advanced analytics and AI
Posted 161 days ago
Automate demand forecasting and inventory optimization
Reduce stockouts and overstock through predictive modeling
Posted 166 days ago
Lead end-to-end product research
Deliver actionable user and product insights
Posted 168 days ago
Drive strategic platform product development
Enable scalable collaboration and sync solutions
Posted 180 days ago
Develop and deploy advanced GenAI solutions for customers
Lead production rollout of AI applications
Posted 219 days ago
Grow and lead the ML Practice team in India
Drive successful customer ML and GenAI engagements
Posted 223 days ago
Deliver customer-focused LLM and ML solutions
Productionize and optimize ML pipelines on cloud
Posted 227 days ago
Lead development of Security Data Fabric and Exposure Management platform
Unify and contextualize security signals using AI/data science
Posted 232 days ago
Predict and prevent cyberattacks
Automate threat detection and response
Posted 234 days ago
Advance AI for social good
Empower non-profits with technology
Posted 274 days ago
Deliver actionable insights to drive business decisions
Lead experimentation and improve analytics infrastructure
Posted 298 days ago
Assist in creating and maintaining learning content related to data engineering, warehousing, and data science
Collaborate with technical experts to develop high-impact training materials
