Design, prototype, and deliver agentic AI solutions using ML and generative models. Partner with product, engineering, and delivery teams to build, evaluate, and deploy LLM-based solutions, run experiments and POCs, and communicate technical recommendations to stakeholders.
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
We are looking for a Senior Data Scientist to join our Agentic Solutions team, focused on driving innovation through the design, development, and delivery of AI-powered agentic solutions. This role sits at the intersection of data science, generative AI, product innovation, and client delivery, helping translate complex business problems into practical, scalable AI solutions.
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
Responsibilities
Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
Apply data science, machine learning, and generative AI techniques to solve complex business problems.
Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
Evaluate model performance, solution quality, and business impact using data-driven methods.
Support experimentation, proof-of-concepts, and production-ready implementations.
Communicate insights, recommendations, and technical approaches clearly to stakeholders.
Stay current with emerging trends in AI agents, LLMs, automation, and applied data science.
Requirements
Strong experience in data science, machine learning, analytics, or applied AI.
Hands-on experience with Python, SQL, data analysis, and model development workflows.
Familiarity with generative AI, LLMs, prompt engineering, RAG, or agentic AI frameworks.
Experience working on client-facing, delivery-focused, or product-oriented technical initiatives.
Ability to move from ambiguous problem statements to practical, implemented solutions.
Strong communication skills and comfort working with cross-functional teams.
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.
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Supports combustion and emissions design and analysis for aerospace engines, APUs, and advanced technology programs. Performs CFD, thermal, and FEA analyses; develops engineering tools and methods; ensures project, process, and product compliance; and resolves complex technical problems. The role also contributes to turbomachinery and gas-turbine combustor modeling involving turbulence, combustion, and emissions, using tools such as Fluent, STAR-CCM+, Synopsys Workbench, and Siemens NX.
Top Skills:
Ai/MlCC++CfdFinite Element Analysis (Fea)FortranJavaSiemens NxSiemens Star-Ccm+Synopsys FluentSynopsys WorkbenchThermal Analysis
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Operate and monitor high-voltage electrical distribution systems and critical facility utilities in a 24x7 manufacturing environment. Perform switching, inspections, preventive and corrective maintenance, troubleshooting, alarm response, equipment restoration, root-cause analysis, safety compliance, emergency response, and operational documentation. Maintain substations, transformers, UPS systems, DG sets, HVAC, chillers, utility systems, and building infrastructure while recording activities in CMMS/SAP.
Top Skills:
220 Kv Gis Substations33 Kv Distribution Systems6.6 Kv Electrical NetworksAgent BotsAir CompressorsBattery BanksBmsChillersCleanroom UtilitiesCmmsCopilotDg SetsElectrical PanelsEmsGas SystemsGen AiHt/Lt Power SystemsHvacMccPccPmsProtection RelaysRmuSap PmScadaSf6 SystemsSwitchgearSynchronization SystemsThermographyTransformersUpsWater And Wastewater Systems
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads site-wide industrial safety and occupational health programs for a semiconductor manufacturing operation. Responsibilities include safety strategy, regulatory compliance, risk assessments, audits, incident investigations, contractor and construction safety, emergency preparedness, EHS governance, training, and continuous improvement. The role partners with facilities, manufacturing, engineering, construction, regulators, and external agencies to maintain compliant, world-class safety performance and strengthen the organization’s safety culture.
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
