data scientist/gen ai_software engineering - vice president - software engineering Jobs in Mangaluru

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associate software engineer

artificial intelligence specialist

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 12 years of experience in a sales role in the enterprise software or cloud space.
 </li>
 <li>
 Experience leading and scaling teams in a cloud-based PaaS and SaaS environment.
 </li>
 <li>
 Experience in working with engineers and customer technical leads to build business cases and accompanying plans for implementation.
 </li>
 <li>
 Experience selling business intelligence and Cloud technologies to clients.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience carrying and exceeding strategic business goals in a sales role.
 </li>
 <li>
 Experience supporting long-term executive relationships, and developing new territories/accounts while ensuring customer success, adoption and expansion.
 </li>
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 Experience prioritizing, planning, and organizing solution-based sales activity within complex business cycles, including qualifying high value accounts and leveraging our partner ecosystem.
 </li>
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 Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build business cases for transformation with implementation plans, and close agreements.
 </li>
 <li>
 Knowledge of market trends, products, and solutions (including foundational technical understanding) of Cloud and AI.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
 
 
 As an Artificial Intelligence (AI) Sales Specialist, you will help us grow our AI business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality, and provide a comprehensive overview of key business use cases. You will be working with product teams to help our customers build new products leveraging our AI solutions. You will lead day-to-day relationships with cross-functional team members and external customers, leading with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud.
 
 
 It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll be leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
 </li>
 <li>
 Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting territory&rsquo;s business.
 </li>
 <li>
 Work with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
 </li>
 <li>
 Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market.
 </li>
 <li>
 Work with multiple customers and opportunities simultaneously, understand each customer&rsquo;s technology footprint and strategy, growth plans, business drivers, performers, and how they can transform their business using our technologies.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

AI Sales Specialist, Google Cloud

RingCentral

<div>
 
 
 Job Description:
 
 
 
 We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services.
 
 
 As part of our ML/AI team, you&rsquo;ll own the full lifecycle of model development &mdash; from data preparation and fine-tuning to inference optimization and deployment in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases
 </li>
 <li>
 Build scalable retrieval-augmented generation (RAG) pipelines that combine LLMs with structured/unstructured data sources
 </li>
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 Develop prompt engineering strategies, templates, and evaluation frameworks for LLM-driven workflows
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement AI-driven solutions to business problems
 </li>
 <li>
 Optimize models for low-latency inference using quantization, distillation, and other model optimization techniques (e.g., ONNX, TensorRT)
 </li>
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 Build robust data processing, labeling, and augmentation pipelines to improve model performance
 </li>
 <li>
 Implement monitoring and evaluation systems for deployed LLMs, ensuring reliability, fairness, and safety
 </li>
 <li>
 Stay current with emerging trends in LLMs, retrieval systems, and generative AI frameworks
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 1-4 years of hands-on experience in NLP/LLM.
 </li>
 <li>
 Strong proficiency in Python and PyTorch and related frameworks (like Hugging Face Transformers, Sentence Transformers etc.)
 </li>
 <li>
 Proven experience developing and deploying NLP or LLM pipelines in production environments at scale
 </li>
 <li>
 Solid understanding of transformer architectures and attention mechanisms
 </li>
 <li>
 Proficiency in using LLM provider APIs such as OpenAI, Gemini etc.including prompt design, fine-tuning, and evaluation
 </li>
 <li>
 Experience with model optimization techniques such as quantization, pruning, ONNX, TensorRT, or model distillation
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Hands-on experience with RAG and vector databases (e.g., FAISS, Qdrant, pgVector etc. )
 </li>
 <li>
 Prior work on LLM fine-tuning, alignment, or evaluation
 </li>
 <li>
 Experience with LLM orchestration frameworks such as LlamaIndex or similar tools
 </li>
 <li>
 Familiarity with multi-provider LLM orchestration, integrating APIs from OpenAI, Gemini etc. and others for fallbacks, routing, or ensemble strategies
 </li>
 <li>
 Knowledge of MLOps for LLMs, including model serving and monitoring
 </li>
 <li>
 Understanding of embedding models, context management, and token optimization for scalable LLM applications
 </li>
 </ul>
 
 
</div>

AI/ML Engineer

SuperAGI

<div>
 
 
 About the Company:
 
 
 
 SuperAGI is pioneering the future of Artificial General Intelligence with groundbreaking research and innovative AI products. Our mission is to transform the future of applications through intelligent, autonomous solutions that drive unparalleled efficiency and growth. We are building a world where AI and human intelligence collaborate seamlessly to achieve extraordinary outcomes. If you are passionate about AI and eager to be part of a team that is shaping the future, SuperAGI is the place for you.
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a high-performing
 
 Account Executive
 
 with proven
 
 B2B SaaS experience
 
 to join our growing sales team. In this role, you will manage a portfolio of key accounts, build strategic client relationships, and drive revenue growth.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Manage and grow a book of mid-market to enterprise B2B SaaS clients.
 </li>
 <li>
 Build deep relationships with key stakeholders and serve as a strategic partner.
 </li>
 <li>
 Own the full sales cycle: from discovery and solution development to negotiation and closing.
 </li>
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 Collaborate with internal teams (Customer Success, Product, Marketing) to ensure client satisfaction and renewals.
 </li>
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 Identify expansion opportunities within existing accounts and close upsell/cross-sell deals.
 </li>
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 Deliver product demos and tailored presentations that align with client needs.
 </li>
 <li>
 Consistently meet or exceed quarterly and annual sales targets.
 </li>
 <li>
 Maintain accurate records and forecasting in the CRM (e.g., Salesforce or HubSpot).
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 1-3 years of experience in B2B sales or account management, specifically in the SaaS industry.
 </li>
 <li>
 Proven success managing full sales cycles and closing deals with mid-market and enterprise clients.
 </li>
 <li>
 Demonstrated ability to build long-term client relationships and drive account expansion.
 </li>
 <li>
 Must have prior experience working in or servicing clients in the IST &amp; PST timezone.
 </li>
 <li>
 Strong understanding of SaaS metrics, value-based selling, and consultative sales techniques.
 </li>
 <li>
 Excellent communication, presentation, and negotiation skills.
 </li>
 <li>
 Tech-savvy with experience using CRM and sales tools (e.g., Salesforce, HubSpot, Gong, Outreach).
 </li>
 </ul>
</div>

Account Executive

Sandisk

<div>
 
 Job Description
 
 
 
 As part of the SanDisk Global IT organization, this Director-level role places you at the forefront of a company-wide transformation to embed AI into core operations and product innovation. You will play a pivotal role in executing SanDisk&rsquo;s enterprise AI strategy, with a focus on Generative AI (LLMs, agents), traditional ML, and data platform build-out.
 
 
 You will be part of a global cross-functional team driving the development of scalable AI platforms and solutions that deliver measurable business impact across manufacturing, engineering, supply chain, and other functions. Based in Bangalore, this role offers the opportunity to build and lead a high-performance team, collaborate globally, and shape the future of AI at SanDisk.
 
 
 Key Responsibilities
 
 
 Leadership &amp; Strategy
 
 
 Internalize and drive the AI/ML vision and roadmap aligned with SanDisk&rsquo;s strategic goals.
 
 
 Champion the development, adoption, and scaling of a centralized Data and AI platform supporting both GenAI and traditional ML use cases.
 
 
 Collaborate with global stakeholders across Product, Engineering, Operations, and IT to prioritize and deliver high-impact AI initiatives.
 
 
 Lead technology evaluations and drive consensus across cross-functional teams.
 
 
 Platform &amp; Architecture
 
 
 Architect and oversee the build-out of the Data and AI Platform, including:
 
 
 Lakehouse architecture
 
 
 ML lifecycle management
 
 
 GenAI capabilities (LLMs, RAG, vector databases, agentic workflows)
 
 
 Scalable cloud-native solutions (AWS, Azure, GCP)
 
 
 Drive the development of internal AI SDKs/tools to accelerate adoption across teams.
 
 
 Use Case Delivery
 
 
 Partner with Factory, Operations, and Engineering teams to identify, prioritize and implement AI use cases tied to key business KPIs such as yield improvement, predictive maintenance, and process optimization.
 
 
 Ensure responsible AI practices are embedded throughout the development and deployment lifecycle.
 
 
 Influence stakeholders and end-users to drive adoption of AI-enabled solutions.
 
 
 Team &amp; Vendor Management
 
 
 Build and mentor a world-class team of ML Engineers, Full-Stack Developers, and Data Scientists in Bangalore.
 
 
 Manage and scale vendor partnerships to augment delivery capacity and technical depth.
 
 
 
 Qualifications
 
 
 
 15-18+ Years of Professional Experience working with large Product and Services Organizations
 
 
 BS/MS in Electrical Engineering, Computer Science, Data Science
 
 
 10+ years of experience in AI/ML, with 3+ years in leadership roles managing engineering and product development teams.
 
 
 Proven track record of shipping ML/LLM systems to production in enterprise environments.
 
 
 
 Deep Expertise In
 
 
 
 Python, PyTorch/TensorFlow
 
 
 GenAI frameworks (RAG, LangChain, vector databases)
 
 
 MLOps, ML CI/CD
 
 
 Cloud platforms (AWS, Azure, GCP)
 
 
 
 Preferred
 
 
 
 Experience in the semiconductor or high-tech industry.
 
 
 Experience in use-cases with Engineering Productivity, Manufacturing Automation, Supply Chain Optimization
 
 
 Exposure to cloud-native architectures.
 
 
 Experience building internal AI platforms or SDKs used across multiple teams.
 
 
 Strong cross-functional leadership and communication skills.
 
 
 Ability to translate business goals into technical roadmaps and execution plans.
 
 
 Experience managing technology and services vendor relationships.
 
 
 
 Additional Information
 
 
 
 Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
 
 
 Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
</div>

Director AIML, Enterprise Data & AI Team

Tata Communications

<div>
 
 About The Company
 
 
 
 Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
 
 
 
 Team &ndash;
 
 Artificial Intelligence Centre of Excellence
 
 
 
 Role:
 
 Data Scientist
 
 
 
 Location:
 
 Bengaluru
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Experience Level:
 
 1-5 Years
 
 
 
 Position Overview
 
 
 
 We are seeking an experienced Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1 to 5 years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.
 
 
 
 Detailed Job Description &amp; Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and implement state-of-the-art ML algorithms and tools to build PoCs and MVPs
 </li>
 <li>
 Develop, Test, and Deploy machine learning models for various business and Telco use cases.
 </li>
 <li>
 Perform data preprocessing, feature engineering and ML/DL model evaluation.
 </li>
 <li>
 Optimize and fine-tune models for performance and scalability.
 </li>
 <li>
 Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT
 </li>
 <li>
 Build and refine RAG models to improve information retrieval and answer generation systems.
 </li>
 <li>
 Integrate RAG methods into existing applications to enhance data accessibility and user experience.
 </li>
 <li>
 Work closely with cross-functional teams including software engineers, product managers, and domain experts.
 </li>
 <li>
 Communicate technical concepts to non-technical stakeholders effectively.
 </li>
 <li>
 Document processes, methodologies, and model development for internal and external stakeholders.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions.
 </li>
 <li>
 Strong knowledge of probability and statistics.
 </li>
 <li>
 Working knowledge of machine learning and deep learning skills.
 </li>
 <li>
 Strong knowledge of programming knowledge &ndash; Python, SQL and commonly used frameworks &amp; tools &ndash; PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex
 </li>
 <li>
 Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode.
 </li>
 <li>
 Excellent problem-solving skills and a proactive attitude.
 </li>
 <li>
 Strong communication and teamwork abilities.
 </li>
 <li>
 Ability to manage multiple projects and meet deadlines
 </li>
 <li>
 Interview will involve coding tests.
 </li>
 </ul>
</div>

Assistant Manager - Technology & Platform Development

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125 artificial intelligence specialist jobs IN Mangaluru

AI Engineer

AI Sales Specialist, Google Cloud

AI Sales Specialist, Google Cloud

AI/ML Engineer

Account Executive

Director AIML, Enterprise Data & AI Team

Assistant Manager - Technology & Platform Development