819 Llms Jobs - Page 19

Gruve is an innovative software services startup dedicated to transforming enterprises into AI powerhouses. Specializing in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs), our mission is to assist customers in utilizing their data for making intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. We are currently looking for a talented Engineer to join our AI team. In this role, you will lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, focusing on large language models and other machine learning applications. This position presents an excellent opportunity to leverage your software engineering skills in a real-world environment and gain hands-on experience with cutting-edge AI technology. Key Responsibilities: - Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, with a focus on Large Language Models (LLMs) and deep learning applications. - End-to-End Model Development: Lead the entire lifecycle of AI models, from data collection and preprocessing to training, fine-tuning, evaluation, and deployment. - Fine-Tuning & Customization: Utilize techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications. - Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1 to explore their applications in enterprise AI workflows. - Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes. - Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications. - MLOps & CI/CD Pipelines: Implement best practices for MLOps to ensure automated training, deployment, monitoring, and continuous improvement of AI models. - Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable. - API Development & Microservices: Develop RESTful APIs and microservices to seamlessly integrate AI models into enterprise applications. - Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines. - Collaboration & Stakeholder Engagement: Collaborate closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions. - Mentorship & Technical Leadership: Guide and mentor junior engineers to foster best practices in AI/ML development, model fine-tuning, and software engineering. - Research & Innovation: Stay informed on emerging AI trends, conduct experiments with cutting-edge architectures and techniques, and drive innovation within the team. Basic Qualifications: - Master's degree or PhD in Computer Science, Data Science, Engineering, or related field - 5-8 years of experience - Strong programming skills in Python and Java - Good understanding of machine learning fundamentals - Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) - Familiarity with frontend development and frameworks like React - Basic knowledge of LLMs and transformer-based architectures is a plus Preferred Qualifications: - Excellent problem-solving skills and eagerness to learn in a fast-paced environment - Strong attention to detail and ability to communicate technical concepts clearly At Gruve, we promote a culture of innovation, collaboration, and continuous learning. We are dedicated to creating a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you are passionate about technology and eager to make an impact, we would love to hear from you. Gruve is an equal opportunity employer, welcoming applicants from all backgrounds. We appreciate all applicants, and only those selected for an interview will be contacted.,

The Forward Deployed Engineer (FDE) - AI Enablement is a senior-level position where you will be responsible for achieving results through solutioning, developing, and implementing AI/ML capabilities as an individual contributor. As an FDE - AI Enablement, you are expected to stay updated on the latest developments in Citi and your field, contributing to the directional strategy by identifying applications within your organization and the business. Your key responsibilities will include enhancing the current toolset with AI/ML capabilities, solutioning for identified use cases, building quick proof-of-concept to showcase solutions, collaborating with the larger AI/ML stream across the data organization, and utilizing your in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications. Additionally, you will be involved in formulating strategies for applications development and other functional areas, gaining comprehensive knowledge of how different business areas integrate to achieve business objectives, and providing evaluative judgment based on the analysis of factual data in complex and unique situations. To be successful in this role, you should have at least 10 years of experience in AI/ML, preferably within the financial industry. Hands-on experience in Python and utilizing ML Libraries such as TensorFlow, Scikit-learn, and Pytorch for Big Data is required. You should also have practical experience with LLMs and GenAI APIs (such as OpenAI GPT, Bard, etc.), applying Machine Learning or NLP models in real-time applications for large datasets, working with MLOPs and Model Deployment Pipelines, using PySpark and understanding big data concepts. Knowledge in Azure OpenAI, Google Vertex, and Stellar is considered a plus. Stakeholder management experience, demonstrated leadership skills, and proven project management skills are also essential for this role. A Bachelor's/University degree is required, with a Master's degree being preferred. This position falls under the Technology job family group and specifically in the Applications Support job family. It is a full-time role. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details on Citis EEO Policy Statement and the Know Your Rights poster, please refer to the respective documents.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

As the Chief Technology Officer (CTO) of our AI vertical, you will be at the forefront of revolutionizing the way ad films, content, and experiences are crafted through cutting-edge Generative AI technology. You will play a pivotal role in leading the development of AI solutions across various domains such as LLMs, multimodal AI, image/video generation, and no-code tooling. Your responsibilities will extend to not only scaling AI workflows but also building internal systems that facilitate rapid and creative experimentation for our filmmaking and brand teams. This hands-on leadership position is tailored for individuals who are passionate about coding, adept at developing innovative GenAI tools, and have a keen focus on automation. Your key responsibilities will include architecting and overseeing the full AI stack, from model selection to real-time deployment. You will be tasked with building workflows that integrate various tools such as Runway, MidJourney, Google Veo, Suno, ElevenLabs, GPT, SDXL, among others. Additionally, you will design and optimize custom no-code pipelines utilizing platforms like ComfyUI, ControlNet, Deforum, InvokeAI, and more. Your role will involve writing and managing backend tools in Python, integrating APIs, automation scripts, and model wrappers. Leading a team of ML engineers, prompt engineers, and creative technologists will also be part of your responsibilities, along with developing reusable libraries and systems for content creation. To excel in this role, you must possess expertise in Python for AI pipelines, tooling, and backend scripting. Deep knowledge of machine learning, transformer models, diffusion models, and LLMs is essential. Hands-on experience with no-code GenAI platforms such as ComfyUI, Deforum, ControlNet, and proficiency in MLOps, inference optimization, and managing GPU workflows are critical. Your ability to bridge technology and creativity, enabling fast prototyping for image, video, and voice workflows, will be highly valued. Desirable qualifications include prior experience with AI-driven film/video tools, exposure to custom model training, LoRA tuning, and familiarity with platforms like HuggingFace, OpenAI, Replicate, and RunwayML. If you have built creative or experimental AI tools, sharing a repository or demo would be advantageous. Experience in startup environments or leadership roles in fast-paced, zero-to-one settings will be beneficial. In this role, you will take ownership of all AI tooling and workflow automation, internal platforms utilized by creative and production teams, and scaling GenAI pipelines to enhance production efficiency and output quality. You will also drive technical innovation and foster an experimentation culture within the company. This is a full-time, permanent position with a day shift schedule from Monday to Friday, requiring in-person work at the specified location.,

About Glean Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The companys cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jains deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work. About The Role Glean is looking for an experienced Product Designer to help define the future of work. Youll collaborate closely with PMs, engineers, customer success advocates, and marketers, to ship category-defining product thats used daily by customers to do their work. As a Product Designer, youll be joining an experienced, tight-knit, and collaborative group of folks who love combining research, data, intuition, and best practices into a user-centered design process. Youll have an outsized impact on the product, used across hundreds of companies across many different industries, and an incredible opportunity to shape the system of intelligence for every company in the world. You Will Own and drive the complete product design lifecycle of major features from end to end, doing user research or partnering with others to understand customer needs and translating those insights into products and features that solve real problems for knowledge workers in organizations. Prototype ideas quickly to assess viability, design detailed flows and interactions to turn your features into a reality, and partner closely with engineers to build, iterate on, and ship those ideas. Produce whatever artifacts are needed - specs, sketches, wireframes, mocks, prototypes, etc. to take UI ideas into production. Contribute to Gleans design system and component library Contribute to design team processes and share work regularly with designers, cross-functional teams, leadership, and the company Uphold high standards for design and product quality. Partner with product managers to shape roadmaps. About You Minimum of 5+ years prior generalist product design experience in an organization that has shipped software to users, working closely with product, engineering, and product marketing teammates to develop strategy and rationale for features. Experience designing for B2B product Ability to design polished, high-fidelity mockups and interactive prototypes of your solutions in design tools like Figma. Ability to understand technical concepts (bonus if you have working knowledge of LLMs, code, APIs, databases, etc.) Experience collaborating with different disciplines and incorporating feedback into your work. Strong written, verbal, and storytelling skills to help people across the company understand the rationale behind your designs. Thrive in ambiguity and can independently prioritize work based on user needs and business goals, and take responsibility to drive product ideas forward Ability to think systematically about problems given tradeoffs and constraints, and go deep on details through continual rapid iteration. A learning and growth mindset with an ability to self-start on problems, a willingness to own problems, and a desire to make things better. Compensation & Benefits Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We&aposre committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Show more Show less

Careers Head of AI (Associate) Location:Bengaluru, India Salary:Competitive Contract:Permanent Hours:Full-time About The Role The Head of AI Strategy and Integration will define and lead QCICs global AI transformation agenda. This senior, cross-functional role is responsible for setting our strategic direction on GenAI, Intelligent automation and data-powered operations. You will guide the implementation of AI solutions across the business, delivering meaningful process improvements, with an keen eye on AI governance. What You Will Do Lead the design development and deployment of AI powered business workflows using the latest LLMs, agents and intelligent automation tools Guide AI governance, ethical use, and standardisation across all AI-enabled solutions Support business units by training staff and promoting the effective use of AI tools in daily operations. Stay current on the latest AI developments (releases, tooling, methodologies) and recommend relevant applications that could in improve all areas of the business. Supervise, mentor, and support a small but growing AI engineering team, fostering a culture of collaboration, innovation and driving improvements across the business. Engage in hands-on development as required, building prototypes and working solutions for internal stakeholders Work alongside our Power Platform team to enhance advance model-driven app solutions and Business Reporting using AI capabilities Contribute to long-term planning, vendor evaluations, and strategy for scalable and secure AI adoption Match the business needs with Industry standards on governance like ISO 27001 to allow the business to remain compliant. Collaborate with global colleagues across time zones, some flexibility will be required What We Are Looking For Deep understanding of generative AI, LLMs and agent frameworks. Track record in designing, building and deploying AI-enabled workflows and solutions. Hands on experience developing workflows and using Microsofts Power Platform. Experience of implementing AI solutions with the ISO 27001 is desirable (not audit level). Experience designing and implementing AI solutions with CRM Systems is desirable. Demonstrated ability to lead, inspire and mentor technical teams. Strong written and verbal communication skills, able to present AI capabilities to both technical and non-technical audiences. Comfortable working in a fast-paced, evolving technical environment Practical experience with up to date tools and platforms e.g. Microsoft Copilot, Open AI etc Experience Very strong organisational skills 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions Leadership or team lead experience, particularly within AI Innovation Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps and Cloud-native data engineering Experience working across departments and coaching non-technical stakeholders Experience with Azure OpenAI studio or Similar enterprise AI environments Exposure to model-driven apps and Dataverse integration Working knowledge Microsoft Power platform suites Experience contributing to AI/ML strategy at an organisational level Awareness of AI safety, compliance and ethical frameworks PowerShell scripting, SQL Query creations. Power platform workflow creation User rollout of cloud based IT solutions Knowledge And Skills Keen attention to detail A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy The ability to lead AI automation projects and work within project scopes Ability to juggle different tasks effectively Ability to lead a team and provide mentorship The ability to understand how users learn and adapt to technology Flexibility with working hours due to the nature of the role Strong written and verbal communication skills are a must NB: The successful candidate will be required to pass our security screening procedures. Show more Show less

As a Conversation Designer, your primary responsibility will be to convert business goals into agentic workflows by designing and iterating on conversation flows and logic. You will write and test prompts to optimize the performance of LLMs in a voice-first context. Evaluating, debugging, and enhancing voicebot performance using structured test cases and success metrics will be crucial aspects of your role. Collaboration with engineering, data, sales, and marketing teams to align voice AI Agent behavior with real customer use cases will be essential. Additionally, you will be developing tools, prompt templates, and reusable components to facilitate efficient development scalability. Documenting strategies and continuously improving them based on data insights and user feedback will also be part of your responsibilities. To excel in this role, you should have a solid understanding of LLMs and prompt engineering, including concepts like few-shot, zero-shot, role prompting, and persona shaping. Proficiency in Python and SQL will be necessary for prototyping, automating tests, and analyzing conversational data. Strong written and verbal communication skills in English and Hindi are required as you will be crafting messages for real people. A strong sense of ownership, entrepreneurial mindset, and self-starter attitude are traits that will help you succeed in this position. You should also possess the ability to analyze business requirements and transform them into smart, human-like conversational agents. As a recent graduate in Computer Science, Data Science, Linguistics, AI, Product Design, or a related field, you should have exposure to large language models (LLMs) like ChatGPT, Claude, Gemini, or similar projects. Basic proficiency in Python and working knowledge of SQL are expected. Your passion for AI, voice tech, or conversational UX will be valuable, especially if you have prior experience working on similar projects. In terms of logistics, the compensation for this position is competitive, and the joining is required as soon as possible in Noida. The company offers a people-centric culture, a well-balanced team of experienced entrepreneurs, and is backed by reputable investors from India and Silicon Valley. The environment promotes freedom, responsibility, entrepreneurial spirit, exponential growth, and prioritizes healthcare for physical and mental wellness. If you are looking to contribute to a dynamic team, work on cutting-edge technologies, and be part of a company that values its people above all else, this role provides a unique opportunity for growth and impact. (Note: This job description does not constitute an exhaustive list of responsibilities, qualifications, or benefits and is subject to change based on business needs.),

As a Python Backend Engineer specializing in AWS with a focus on GenAI & ML, you will be responsible for designing, developing, and maintaining intelligent backend systems and AI-driven applications. Your primary objective will be to build and scale backend systems while integrating AI/ML models using Django or FastAPI. You will deploy machine learning and GenAI models with frameworks like TensorFlow, PyTorch, or Scikit-learn, and utilize Langchain for GenAI pipelines. Experience with LangGraph will be advantageous in this role. Collaboration with data scientists, DevOps, and architects is essential to integrate models into production. You will be working with AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Additionally, managing CI/CD pipelines for backend and model deployments will be a key part of your responsibilities. Ensuring the performance, scalability, and security of applications in cloud environments will also fall under your purview. To be successful in this role, you should have at least 5 years of hands-on experience in Python backend development and a strong background in building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services is crucial, along with a solid understanding of ML/AI concepts and model deployment practices. Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn is required, as well as experience with Langchain for GenAI applications. Experience with DevOps tools such as Docker, Kubernetes, Git, Jenkins, and Terraform will be beneficial. An understanding of microservices architecture, CI/CD workflows, and agile development practices is also desirable. Nice to have skills include knowledge of LangGraph, LLMs, embeddings, and vector databases, as well as exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Additionally, familiarity with MLOps tools and practices for model monitoring, versioning, and retraining will be advantageous. This is a full-time, permanent position with benefits such as health insurance and provident fund. The work location is in-person, and the schedule involves day shifts from Monday to Friday in the morning. If you are interested in this opportunity, please contact the employer at +91 9966550640.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

Work Your Magic with us! Ready to explore, break barriers, and discover more We know youve got big plans so do we! Our colleagues across the globe love innovating with science and technology to enrich peoples lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That&aposs why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. As a Data & AI Product Owner within our Healthcare R&D department, you will lead the complete product lifecycle, starting from the initial planning and development phases to implementing the roadmap and assessing its impact on the business. Your role is critical in improving Healthcare&aposs data-driven decision-making abilities and ensuring accurate, patient-centric execution. By working closely with end-users, key stakeholders, including business leaders, as well as team members such as data engineers, architects, and data scientists, you will collect and interpret business requirements, translate them into detailed requirements, document user stories, and define essential product features for the roadmap. This role will report to the Head of Product Management in the Healthcare Digital, Data & IT organization. Your Role Define and prioritize the product backlog items based on business value, urgency, and available resources. Engage in user acceptance testing (UAT) to validate the product&aposs functionality, usability, and performance. Continuously gather feedback from end users and regularly communicate product roadmap updates across the organization. Proactively identify potential risks or roadblocks and propose mitigating strategies to ensure successful roadmap delivery Stay up to date with emerging technologies and industry best practices related to Data and AI, especially LLMs. Who You Are Masters degree in Computer Science, Information Systems or a related field. Demonstrated experience as a Product Owner or in a similar role, preferably focusing on the development of enterprise data and AI products. Ability to strategize for long-term product success and devise clear and actionable product roadmaps to align with the company&aposs strategic goals. Strong conceptual understanding of NLP, particularly LLMs, cloud technologies, and data visualization tools. Prior experience in the pharmaceutical industry and familiarity with GxP regulations is highly advantageous. Proficiency in Agile/Scrum methodologies and experience in managing backlog items, sprint planning, and sprint reviews. Excellent communication skills, including the ability to collaborate effectively with both technical and non-technical stakeholders. Robust analytical and problem-solving skills, with a detail-oriented and results-driven approach. Self-motivated with the ability to work independently and effectively prioritize tasks. Fluency in English. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of our diverse team! Show more Show less

???? Senior AI/ML Engineer Multi-Agent & MCP Architect Location: Mumbai (Hybrid) Company: Fin 100X.AI Indias Protocol-Governed AI Financial OS ???? Company Description Fin 100X.AI is Indias first protocol-governed, AI-powered Financial Operating System built for Bharats 100 crore underserved citizens. We are reimagining finance through: Multi-agent AI orchestration (MCP protocol-driven) Explainable and trustworthy AI Regulatory-first design (RBI, SEBI, IRDAI, PFRDA aligned) Backed by IIT Bombay alumni and top fintech leaders, we are building AI for Bharat that blends technology, trust, and inclusion. ???? Role Overview As a Senior AI/ML Engineer (MCP + Multi-Agent Orchestration), you will be part of the founding tech braintrust that defines the core AI architecture of Fin 100X.AI. Your mission: Design and deploy a world-class, multi-agent AI stack powered by MCP (Model Context Protocol) to deliver scalable, explainable, and reliable AI-driven financial advisory modules for 100 crore users. You will directly influence: AI Laxmi orchestration Credit Booster, SIP Planner, Fraud Shield National-scale agentic financial intelligence ???? Key Responsibilities Architect and implement multi-agent AI systems using MCP protocol Build LLM orchestration pipelines (LangChain, AutoGen, CrewAI, MCP) Design retrieval-augmented pipelines (RAG) with vector memory & routing Deploy neural models (NLP, NLU, recommendation engines) at scale Create fallback, routing, and governance layers for explainable AI Integrate real-time financial intelligence APIs (OpenAI, Gemini, HuggingFace, etc.) Mentor junior AI engineers; enforce best practices in ML Ops and agent orchestration Collaborate with backend/frontend teams for end-to-end AI productionization ? Required Qualifications Core Technical Skills Strong foundation in ML/DL architectures, NLP, and LLMs Expertise in multi-agent orchestration frameworks: MCP, AutoGen, CrewAI, LangGraph Advanced experience with Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Proficient in vector search systems (Pinecone, FAISS, ChromaDB) Deep knowledge of RAG pipelines, memory graphs, prompt chaining Experience deploying models in cloud-native and microservice architectures Preferred Exposure FinTech AI systems or regulated AI environments Agent evaluation, explainability, and safety-first design Scaling AI in hybrid production (cloud + edge) environments ???? What We Value Architect mindset with hands-on coding skills Self-driven innovation and ownership from concept ? deployment Experience building AI systems for 10M+ scale Passion for financial inclusion, Bharat-first AI, and AI for Good ???? Perks Shape Indias AI Financial OS from Day 0 ESOP track + leadership growth National showcase at Global FinTech Fest 2025 Mentorship with IIT Bombay alumni & top AI architects Solve real Bharat-scale problems with MCP-first AI innovation Show more Show less

As a Senior AI Engineer with React Native expertise, you will be responsible for developing and integrating AI features using various LLMs such as Norah AI, OpenAI GPT, Google Gemini, and Claude. Your tasks will include creating AI-driven onboarding processes, recommendations, virtual assistants, and news digests. Additionally, you will implement instant voice translation through the Google Translate API, personalized notifications based on user preferences and location, and optimize AI models for mobile platforms like TensorFlow Lite and Core ML to ensure low latency, offline support, and battery efficiency. In the realm of React Native front-end development, you will be tasked with building responsive, cross-platform UI/UX features such as onboarding flows, event booking systems, concierge chat interfaces, and navigation components. You will integrate real-time functionalities like WebSockets, Firebase push notifications, and third-party APIs such as Almosafer, BlackLane, Uber, BLE beacons, and Marcom. Ensuring accessibility, security measures like OAuth and JWT, and cultural alignment for example, understanding Saudi etiquette will also be crucial aspects of your responsibilities. Your role will involve feature implementation across various areas including onboarding and personalization, booking and planning, concierge services and AI assistant functionalities, navigation and real-time capabilities, engagement and security features, as well as admin support for analytics, event monitoring, and emergency alerts. You will be required to test AI accuracy, bias, and mobile performance, optimizing for offline usage, real-time updates, and accessibility. Collaboration with cross-functional teams to align with MoT protocols and documenting AI pipelines and React Native code will be essential parts of your job. To qualify for this position, you should have at least 5 years of experience in AI engineering, with a minimum of 3 years of experience integrating AI into React Native mobile apps for iOS and Android platforms. You should possess expertise in AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as well as familiarity with LLMs such as OpenAI and Google Gemini. Proficiency in React Native, JavaScript/TypeScript, Redux, and UI libraries like React Native Elements is required. Strong skills in API integrations, voice APIs like Google Translate, real-time systems, and secure authentication methods are also necessary. Knowledge of mobile AI optimization techniques and navigation technologies is a plus. A Bachelor's or Master's degree in Computer Science, AI/ML, or a related field is preferred for this role. In addition to technical skills, you should have strong problem-solving abilities, collaboration skills, and effective communication with both technical and non-technical stakeholders. This is a full-time position located in person. When applying, please specify your notice period and total experience of 4 years.,

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

As an MLOps Engineer at Neolytix, you will play a crucial role in developing and implementing intelligent claims analysis, prioritization, and denial resolution models for our AI-driven healthcare claims management application. This involves working closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) to optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and enhance claim resolution efficiency. Your responsibilities will include designing and implementing AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization. You will be tasked with developing and fine-tuning LLMs and SLMs to increase automation in claims management workflows, preprocessing and structuring claims data for effective model training, as well as deploying, managing, and scaling AI models using Azure-based cloud services. Monitoring model performance, retraining, refining algorithms, ensuring compliance with HIPAA and PHI security standards, and documenting technical solutions will also be part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in computer science, AI/ML, Engineering, or a related field, along with at least 3 years of experience in AI/ML engineering, preferably in healthcare claims automation. Proficiency in Python, strong knowledge of LLMs, NLP, and text analytics for claims processing, experience with Azure ML services, and familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes are essential. Additionally, possessing strong analytical, problem-solving, and teamwork skills is crucial for success in this role. Preferred skills for this position include experience with AI-driven denial resolution and automated claims adjudication, understanding of EHR/EMR systems and insurance reimbursement processes, as well as familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments. Joining Neolytix offers you a competitive salary and benefits package, an opportunity to contribute to innovative AI solutions in the healthcare industry, a dynamic and collaborative work environment, and opportunities for continuous learning and professional growth.,

As a Data Scientist, you will be responsible for analyzing complex data using statistical and machine learning models to derive actionable insights. You will use Python for data analysis, visualization, and working with various technologies such as APIs, Linux OS, databases, big data technologies, and cloud services. Additionally, you will develop innovative solutions for natural language processing and generative modeling tasks, collaborating with cross-functional teams to understand business requirements and translate them into data science solutions. You will work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives. Furthermore, you will research, develop, and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, and scene understanding, ensuring model robustness, generalization, accuracy, testability, and efficiency. You will also be responsible for writing product or system development code, designing and maintaining data pipelines and workflows within Azure Databricks for optimal performance and scalability, and communicating findings and insights effectively to stakeholders through reports and visualizations. To qualify for this role, you should have a Master's degree in Data Science, Statistics, Computer Science, or a related field. You should have over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn are required. Additionally, you should have comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools like Tableau, Power BI, or similar platforms is essential. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail, are necessary for this role. Superior communication skills are also required to enable the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment is preferred, along with proficiency in Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring, as well as an in-depth understanding of Azure services and tools for data integration and orchestration, will be beneficial for this position.,

Are you passionate about building world-class AI-driven applications We are currently seeking a Senior Full Stack AI Developer to join our dynamic team in Noida. As a Senior Full Stack AI Developer, you will be responsible for designing and deploying AI-powered full stack solutions using technologies such as Python, Node.js, Django, LangChain, LLMs, and ReactJS. You will also be integrating advanced LLM and LangChain models into applications, collaborating with cross-functional teams for project delivery, mentoring junior developers, and optimizing application performance and scalability. The ideal candidate should have 5-10 years of development experience, with at least 3 years specifically in AI. Proficiency in Python, Node.js, Django, LangChain, LLMs, and ReactJS is required. Strong problem-solving and communication skills are essential for this role. The candidate should be able to join the team within 15 days. Prior experience in a similar band (C1/C2) is preferred. If you are ready to take your AI career to the next level and work on cutting-edge projects, we encourage you to apply for this exciting opportunity.,

You will play a key role in innovative new AI projects for Qualifacts as a Full Stack Software Engineer on the AI Team. Working within an agile team, you will be involved in developing new products that have the potential to reach over 125,000 behavioral health clinicians and millions of patients. The focus will be on building AI products from scratch to complement Qualifacts" existing platforms. We are seeking a front-end oriented full stack developer with expertise in ES6 and React/Angular or similar technologies. Since we are starting with a new product, you will have a significant say in determining our tech stack. Your responsibilities will include participating in designing and developing technical solutions to enhance complex web-based EHR systems, writing efficient and high-quality code, conducting thorough testing to ensure minimal bugs, contributing new ideas and feedback to the team, assisting in architecting scalable solutions, troubleshooting software applications, collaborating with cross-functional teams, following Agile/Scrum methodologies, and staying updated with emerging technologies and industry trends to contribute to process improvement. General qualifications for this role include a Bachelor's degree in computer science, information systems, business administration, or a related field, with at least 5 years of experience as a full stack developer focusing on web applications, end-user applications, and back-end services. You should be customer-focused, have a strong sense of priority and urgency, be committed to engineering best practices, possess self-learning and problems solving skills, and demonstrate accountability and ownership. In terms of technical skills, you should have experience with ES6, React, Angular, or similar technologies, strong computer science fundamentals, past experience in software development, a good understanding of test-driven development, a strong work ethic, motivation to learn and improve, familiarity with Django, OpenAI, and/or other LLMs, and knowledge of web networking including HTTP. At Qualifacts, we are proud to be an equal opportunity employer that values diversity and is dedicated to fostering an inclusive environment for all employees.,

As a Sr. Software Engineer specializing in AI, you will be a crucial part of Occams Advisory's AI Initiative. Your primary responsibility will be to lead the development of AI-driven solutions, generative AI, and AI business applications that have a significant impact on various domains. If you are passionate about AI, LLMs, and APIs, and are well-versed in tokens, embeddings, and temperature settings, this role is tailor-made for you. Your expertise will be instrumental in steering the end-to-end execution of AI models, starting from conceptualization and training to optimization and deployment. The role necessitates a profound understanding of AI evolution, particularly in the realms of LLMs, AI Business applications, and generative models, ensuring that the AI solutions are not only innovative but also scalable and effective. You will play a pivotal role in developing LLM-Powered Business Solutions by creating robust applications leveraging frameworks like OpenAI and Langchain. Your proficiency in implementing Retrieval-Augmented Generation (RAG) Pipelines, advanced prompt engineering, and API and Microservices Development will be critical in enhancing user interactions and integrating AI functionalities seamlessly. Collaborating with cross-functional teams and ensuring performance optimization and quality assurance will also be part of your responsibilities. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field, with at least 2 years of experience in integrating OpenAI, Gemini, Lambda, Llama, Langchain into business scenarios. Proficiency in node.js, AI frameworks like TensorFlow and PyTorch, as well as expertise in LLMs, transformers, embeddings, and generative AI are essential. Additionally, experience in AI model optimization, API development, cloud platforms (OpenAI, AWS, Azure, Google Cloud), and handling large datasets for AI training is required. Occams Advisory offers a comprehensive benefits package that includes health insurance for you and your dependents, provident fund, a fixed CTC budget for learning opportunities, a market-leading leave policy, paid holidays, employee recognition & rewards, and a culture that values meritocracy. If you are a proactive, analytical, and detail-oriented professional who thrives on challenges and is eager to contribute to a culture of excellence and impact, we encourage you to apply for this exciting opportunity as a Sr. Software Engineer (AI) with Occams Advisory.,

As a Senior Product Manager specializing in Generative AI at IDFC First Bank, you will be instrumental in shaping and expanding AI-driven products that redefine the banking experience across digital and assisted channels. Your responsibilities will encompass developing and executing product strategies, ensuring compliance with regulatory standards, and fostering user-centric AI interactions. In this role, you will be tasked with defining the product vision and roadmap for Generative AI projects within the bank. Your focus will involve identifying impactful AI applications in customer engagement, operational efficiency, compliance, and risk management. Staying abreast of industry trends and regulatory guidelines will be essential as you strive to develop innovative and compliant AI solutions. Your involvement will extend to overseeing the entire lifecycle of AI product development, from conceptualization to launch, in collaboration with cross-functional teams. You will be responsible for establishing key performance indicators (KPIs) and driving product enhancements based on data-driven insights. Collaborating with AI/ML engineers, you will ensure the creation of scalable and secure models that prioritize explainability and fairness. Furthermore, you will be pivotal in crafting user-centric AI experiences through the design of conversational interfaces, intelligent assistants, and automated workflows that elevate digital banking interactions. Collaborating with UX/UI designers, you will ensure that AI-generated content aligns with brand voice and customer expectations, utilizing advanced AI technologies like NLP and LLMs to personalize user engagements. Your role as a Senior Product Manager will also involve serving as a liaison between AI research, engineering, business units, and external stakeholders. By fostering collaboration with various teams such as Digital Banking, Growth, Marketing, and Customer Support, you will facilitate the seamless integration of AI solutions. Additionally, you will drive internal awareness and adoption of AI capabilities by championing responsible AI practices within the organization. To excel in this position, you are required to hold a Bachelor's degree in any relevant field, with a preference for post-graduation in any stream. A minimum of 5 years of relevant experience is expected to effectively fulfill the duties and expectations associated with this role.,

As a Senior Data Scientist, you will play a crucial role in supporting the design, development, and implementation of generative AI models and systems. Your responsibilities will include assisting in model development, algorithm optimization, data preprocessing, feature engineering, model evaluation, and collaboration with cross-functional teams. You will focus on learning and developing your skills in generative AI while ensuring ethical considerations are adhered to under the guidance of senior team members. Your technical skills should include in-depth knowledge of ML, Deep Learning, NLP algorithms, and experience with ML platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proficiency in Python, Java, or C++, along with machine learning frameworks such as TensorFlow or PyTorch, is essential for developing and optimizing generative AI models. Cloud computing experience, particularly with Google or Azure Cloud Platform, is crucial, as well as an understanding of Data Analytics Services offered by these platforms. Preferred technical skills may include knowledge of Azure Cognitive Search, Google Cloud Search, AWS Kendra, and experience in large-scale deployment of ML projects with a good understanding of DevOps/MLOps/LLM Ops. Strong communication skills, the ability to work independently, mentor junior developers, and understand business objectives to support data needs are key behavioral attributes required for this role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science and possess 6 to 8 years of relevant work experience. If you are looking to contribute to cutting-edge generative AI projects, collaborate with diverse teams, and stay updated with the latest AI trends, this role is ideal for you.,

As a US-based tech company with a global reach, DXFactor is renowned for being a certified Great Place to Work. Currently, we are seeking talented individuals for the position of AI Architect / Tech Lead AI at our Ahmedabad location. In this role, you will be at the forefront of developing a cutting-edge AI video marketing system that revolutionizes the traditional content creation process. The focus will be on leveraging AI technology to not only edit or repurpose content, but to generate, orchestrate, and deploy marketing content autonomously through AI agents. Your responsibilities will include designing Agentic AI Systems for Content Creation, where you will architect AI workflows that enable agents to collaborate in analyzing, scripting, editing, generating, and optimizing marketing videos using advanced technologies such as LLMs, vision models, and orchestration layers. Additionally, you will lead the development of Multi-Agent Pipelines by building intelligent systems that utilize frameworks like LangChain, AutoGen, or CrewAI to coordinate agents for various tasks such as scripting, visual editing, channel adaptation, voice/speech synthesis, and A/B testing. Moreover, you will apply AI to real-world video marketing use cases by using diverse content sources like UGC, branded, and influencer content to generate customized marketing assets suitable for different platforms. You will also be responsible for generating Synthetic Media when necessary, by integrating tools like Runway, Synthesia, Pika, or ElevenLabs to create or enhance content components. Furthermore, as the Lead Architect, you will be tasked with integrating AI systems with various components of the marketing stack including Content Management Systems (CSMs), Digital Asset Management (DAM) systems, ad tech APIs (Meta, TikTok, Google Ads), social platforms (YouTube, Instagram), and performance tools (Google Analytics, Segment, attribution platforms). Your role will encompass not only designing the architecture but also hands-on development, ensuring seamless integration and functionality across the marketing ecosystem.,

You are an experienced Python & AI Engineer with a minimum of 3 years of relevant experience in the same tech stack. As a part of our growing CRM product team, you will be responsible for developing AI-powered features using Python and various ML/NLP tools. Your role will involve building intelligent modules such as recommendation engines, lead scoring systems, document extraction tools, chatbot assistants, and predictive insights directly into our CRM platform. Your key responsibilities will include designing, building, and deploying AI/ML models and NLP systems to address real-world CRM challenges. Additionally, you will be developing Python-based microservices for smart automation and CRM intelligence, implementing AI modules for chatbot integration, document analysis, lead prediction, and integrating LLMs and RAG systems for contextual search and automation workflows. You will also work on handling structured and unstructured data from MongoDB/PostgreSQL for model training, optimizing models for accuracy, performance, and scalability, and collaborating with product and engineering teams for seamless feature delivery. To be successful in this role, you must possess at least 3 years of experience in Python, Machine Learning, and AI development, along with proficiency in ML/NLP libraries like scikit-learn, spaCy, Transformers, and LangChain. Working knowledge of LLMs, OpenAI APIs, RAG, chatbot architecture, experience in building REST APIs using FastAPI or Flask, strong database management skills using MongoDB and PostgreSQL, and familiarity with version control (Git), Docker containers, and API integration are essential. Nice-to-have skills include exposure to vector databases (e.g., Pinecone, Weaviate, FAISS), experience with MLOps tools like MLflow, Airflow, or Seldon, working on SaaS-based CRM or multi-tenant applications, and background in domains such as EdTech, ImmigrationTech, or SalesTech. Ideally, you should hold a Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or a related field. Immediate joiners will be given priority for this full-time on-site position located in Mohali, Punjab. If you are passionate about leveraging Python and AI technologies to drive innovation in CRM intelligence systems, we encourage you to apply for this role.,

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

The role of Growth Specialist - Enterprise Platforms at Yavar involves spearheading sales, customer acquisition, and revenue growth for the AI product suite. Yavar is a data intelligence platform company that specializes in delivering industry-specific private AI applications, enabling enterprises to leverage the power of AI securely and at scale. As a Growth Specialist, you will be responsible for owning the end-to-end sales cycle, collaborating with internal teams to create tailored proposals, building a strong sales pipeline, and engaging with enterprise customers to align AI solutions with their challenges. To excel in this role, you should have 4-6 years of experience in enterprise SaaS, AI, or data platforms sales, with specific experience in handling North America as a territory being advantageous. A deep understanding of B2B SaaS, AI platforms, and digital transformation solutions is essential, along with the ability to engage with CXOs, procurement teams, and solution architects during complex sales cycles. Additionally, proficiency in preparing custom pitches, RFPs, and commercial proposals, familiarity with CRM systems, and a bachelor's degree are required qualifications. An MBA is considered a plus. The ideal candidate for this position possesses an entrepreneurial mindset, strategic thinking capabilities, and a strong ability to communicate effectively with customers. You should be comfortable working in dynamic environments and have a network in sectors like healthcare, manufacturing, retail, or hospitality. An understanding of GenAI and LLMs is also preferred. Yavar offers a mission-driven work environment that encourages ownership and celebrates outcomes. The company provides attractive performance incentives and opportunities for leadership growth. If you are passionate about driving impact in the AI era and possess the necessary qualifications and attributes, we invite you to apply by sending your resume along with a narration of your purpose and achievements to careers@yavar.ai. Join us in redefining the revenue engine for the future of private AI applications at Yavar.,

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be beneficial for this role. Experience with cloud platforms such as AWS, GCP, and Azure, as well as managed ML services, is a plus. Any contributions to open-source ML libraries or participation in ML competitions like Kaggle or DrivenData will be considered an advantage.,