Sosl Salesforce Object Search Language Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Position: Salesforce Developer (CPQ, Service Cloud, Billing) Location: Remote/Hybrid | Bengaluru, IND We're looking for a highly skilled Salesforce Developer with specialized expertise in Salesforce CPQ, Service Cloud, and Billing. If you have a strong background in developing and customizing Salesforce solutions that enhance sales, service, and billing processes, you'll be instrumental in designing and implementing complex, tailored solutions to meet our business needs. What You'll Do: CPQ Development: Customize and enhance Salesforce CPQ applications, including product configuration, pricing rules, quote templates, and approval processes. Service Cloud Development: Implement and customize Salesforce Service Cloud to optimize customer service operations, covering case management, service processes, and SLAs. Billing Implementation: Develop and integrate Salesforce Billing solutions, ensuring seamless end-to-end billing processes like invoicing, payment processing, and revenue recognition. System Integration: Integrate Salesforce CPQ, Service Cloud, and Billing with internal and third-party systems using REST/SOAP APIs, middleware, and custom integrations. Customization & Data Management: Design and implement custom objects, workflows, validation rules, and other Salesforce features. Ensure data integrity across all Salesforce clouds and connected systems, handling data migrations and quality controls. Quality Assurance: Conduct unit testing, integration testing, and debugging to ensure the stability and performance of Salesforce customizations and integrations. Documentation: Create and maintain comprehensive technical documentation, including system architecture and design specifications. Collaboration: Work closely with business analysts, project managers, and stakeholders to translate business requirements into effective technical solutions. Continuous Improvement: Stay current with Salesforce platform updates and best practices across CPQ, Service Cloud, and Billing. Recommend enhancements to existing systems. What You'll Bring: Experience: 5+ years as a Salesforce Developer, with specific, hands-on experience in CPQ, Service Cloud, and Billing. Salesforce Core: Proficiency in Apex, Visualforce, Lightning Components, and Salesforce development tools. Integration Savvy: Extensive experience integrating Salesforce with external systems using REST/SOAP APIs. Platform Knowledge: Familiarity with Salesforce data models and architecture, particularly within CPQ, Service Cloud, and Billing. Certifications: Salesforce Certified CPQ Specialist and/or Salesforce Service Cloud Consultant certifications are highly preferred. Problem-Solving: Strong problem-solving skills with a focus on delivering customer-centric solutions. Communication: Excellent communication skills, enabling effective collaboration with both technical and non-technical stakeholders. Multitasking: Ability to manage multiple tasks and projects simultaneously in a fast-paced environment. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Experience with Agile development methodologies. Familiarity with Salesforce Communities, Marketing Cloud, or other Salesforce products. Knowledge of JavaScript, HTML, CSS, and other web development technologies. Experience with CI/CD tools and version control systems like Git.

Salesforce Developer Department: Software Engineering Job Type: Full Time Location: Banglore KEY SKILLS: Strong understanding of Salesforce Declarative Programming and Administration develop code, custom objects, Visual Force pages, Apex, reports, workflows and assignment rule Knowledge of user interface development skills including HTML, DHTML, CSS, JavaScript, AJAX. Strong working knowledge of Salesforce Query Language (SQL/SOQL). Good experience building large-scale, data-driven web applications. Hands on experience on Java. In-depth Knowledge of databases and experience with SQL and relational schema design. Develop Apex (classes and triggers), Visualforce*, (based on specific requirements) to extend Salesforce in order to support business requirements. Custom User Interface development, including Visualforce* pages/Lightning pages, Aura Components** and Lightning Web Components.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

AI-ML Technologist Bangalore, India Location: Bangalore Experience: 3 to 10 Years Job Role: AI-ML Technologist Industry: IT Software / Artificial Intelligence & Machine Learning Job Summary: We are looking for a highly skilled AI-ML Technologist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. The ideal candidate will have hands-on experience in developing intelligent solutions using Python and other programming languages and frameworks. Key Responsibilities: Develop and deploy AI/ML models for various applications including Natural Language Processing (NLP), Computer Vision, and Cognitive Computing Design and implement deep learning architectures such as RNN, LSTM, and Reinforcement Learning algorithms Process and analyze diverse data types including text, speech, images, videos, and real-time streams from IoT devices and sensors Collaborate on AI system architecture and design using UML and related tools Utilize AI/ML frameworks such as TensorFlow, PyTorch (Torch), and Caffe for model development and training Apply cognitive search techniques and build scalable AI-driven applications Required Skills: Strong programming skills in Python, with experience in other languages like Java, C/C++, or R Proven experience with AI/ML frameworks: TensorFlow, PyTorch, Caffe, or similar Deep understanding of Deep Learning, Recurrent Neural Networks (RNN/LSTM), and Reinforcement Learning Expertise in Natural Language Processing (NLP) and Computer Vision technologies Experience handling large-scale and multi-modal data from various sources such as text, speech, images, video, and IoT streams Solid foundation in Machine Learning, Cognitive Computing, and Artificial Intelligence principles Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms for AI/ML deployment (AWS, Azure, GCP) Work on cutting-edge AI and ML technologies impacting real-world applications Collaborate with a team of experts in a fast-paced, innovation-driven environment Opportunities for continuous learning and career growth in AI/ML domain Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Senior Salesforce Developer Location: Bangalore, India About MaxVal Founded in 2004, MaxVal is a pioneer in IP services, emphasizing efficiency, cost-effectiveness, and continuous improvement. We leverage technology to enhance our service delivery and have developed proprietary internal applications that evolved into flagship products. Serving over 600 clients globally, MaxVal combines deep IP expertise with cutting-edge tech solutions, employing 725+ professionals passionate about innovation and customer success. Job Overview MaxVal is seeking a proactive Senior Salesforce Developer to join the Product Implementation team. You will play a key role in designing and enhancing Symphony, our Intellectual Property Management Software (IPMS) built on Salesforce, catering to high-profile clients. The role involves collaborating with distributed teams, ensuring adherence to best practices, managing deployments, and mentoring team members. Key Responsibilities Collaborate with customers, business units, and product managers to design and develop new Salesforce product features. Engage in solution architecture discussions to propose effective, scalable solutions. Lead technical discussions on customization vs. configuration decisions. Document design specs, architecture, APIs, and custom objects. Manage and lead a Salesforce development team, including offshore resources, in an Agile environment. Develop custom Salesforce functionality using Apex, Visualforce, Lightning, SOQL, REST/SOAP APIs. Ensure compliance with Salesforce governor limits and best practices. Design and implement integrations between Salesforce and other systems. Apply best practices in master data management on the Force.com platform. Lead sprint reviews to gather stakeholder feedback. Drive improvements in DevOps and deployment workflows. Troubleshoot complex support issues and implement robust solutions. Mentor junior developers and perform code/design reviews. Requirements Education & Experience: Bachelor s or Master s in Computer Science or related field, or equivalent experience. 5+ years hands-on Salesforce Force.com development experience. Proven expertise with Visualforce, Apex, Salesforce Lightning, SOQL. Experience in building and integrating REST or SOAP APIs. Experience delivering enterprise-grade Force.com applications. Technical Skills: Deep understanding of Salesforce platform products and ecosystem. Strong grasp of SDLC: coding standards, reviews, source control, testing, deployment. Experience with SSJS, SQL, Node.js, and Salesforce Administration. Preferred Certifications: Salesforce Platform Developer Salesforce Platform App Builder Force.com Advanced Development Certifications Qualification : Bachelors or Masters in Computer Science or related field, or equivalent experience.

Director Implementation Location: Bengaluru, India About MaxVal MaxVal began in 2004 as an IP services company, rooted in efficiency, cost-effectiveness, and continuous process improvement. Our early adoption of tech-enabled solutions helped us evolve into a product-driven organization, delivering cutting-edge Intellectual Property (IP) management tools. Today, we serve over 600 global clients across the full IP lifecycle with a team of 725+ domain and technology experts. At MaxVal, we "do the right things" and innovate relentlessly to deliver success for both our customers and employees. Job Summary As Director Implementation, you will lead the end-to-end delivery of Symphony, MaxVal s flagship IP Management platform built on Salesforce. You will oversee the implementation lifecycle from requirements analysis to final deployment ensuring timely, high-quality, and scalable solutions for enterprise clients. You ll manage a cross-functional team of Salesforce Developers, QA Engineers, and DBAs, with a focus on customer satisfaction, architectural integrity, and strategic execution. Key Responsibilities Implementation Leadership Own the full implementation lifecycle for Symphony solutions from client onboarding and requirements gathering to configuration, deployment, and post-go-live transition. Ensure projects meet timeline, quality, and scope expectations across multiple concurrent implementations. Architecture & Solution Design Lead the design of scalable Salesforce/Symphony solutions, incorporating best practices for performance, data integrity, and long-term sustainability. Define and maintain a Salesforce architecture roadmap aligned with client needs and product evolution. Team Leadership & Resource Management Direct and mentor a team of 20+ professionals including Salesforce Developers, QA Engineers, and DBAs. Promote a culture of accountability, continuous learning, and cross-functional collaboration. Client Engagement & Stakeholder Management Act as a primary point of contact for clients during the implementation phase. Translate client business needs into technical requirements and ensure alignment throughout the project lifecycle. Proactively manage risks, escalate issues, and deliver regular status updates to internal and external stakeholders. Governance & Compliance Implement and enforce Salesforce/Symphony governance, ensuring adherence to data security and regulatory standards. Conduct performance monitoring, audit checks, and post-implementation reviews to optimize future rollouts. Cross-Functional Collaboration Work closely with Product Management, Sales, Support, and Customer Success teams to ensure seamless handoffs and end-to-end customer satisfaction. Collaborate with vendor and partner teams to integrate third-party tools and AppExchange solutions when required. Qualifications Required 10+ years of experience in Salesforce implementation or technical delivery roles. Proven experience managing and scaling teams comprising Salesforce developers, QA, and DBAs. Strong background in Salesforce architecture and solution design, with hands-on experience in Apex, SOQL, Lightning, and integrations. Exceptional stakeholder communication, team leadership, and project management skills. Experience delivering enterprise SaaS implementations, preferably in legal tech or IP management domains. Preferred Prior experience implementing or supporting Symphony or other IP lifecycle platforms. Familiarity with Salesforce updates, roadmap, and emerging features. Knowledge of performance tuning, deployment automation, and Salesforce compliance best practices.

GenAI Engineer Location: Bangalore, India Office About the Team Rubrik's IT team is driving AI-powered transformation to enable smarter automation and scalable data solutions that protect and empower the company's mission. As part of the newly formed IT AI team, you'll be instrumental in developing AI agents and workflows to unlock the potential of generative AI in data engineering. About the Role We are seeking an experienced GenAI Engineer to join our Data Engineering team, focusing on building and deploying AI agents and workflows powered by large language models (LLMs). You will integrate data sources and develop MCP clients/servers to support LLM-based bots, collaborating closely with data scientists, engineers, and business teams to enhance GenAI adoption and deliver advanced data solutions. Key Responsibilities Design and develop data integrations using MCP protocols or traditional extraction methods. Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving). Ensure data quality, integrity, and scalability for AI workloads involving both structured and unstructured data. Collaborate with business teams, data engineers, and application developers to create products that streamline processes and drive growth. Integrate data pipelines with existing infrastructure to enable seamless data flow and analytics. Support the data engineering team in producing high-quality data products for AI workloads. Experience You'll Need 1+ year of experience building AI agents or using Snowflake Cortex, Gemini Agentspace, or similar open-source tools. 3+ years of experience in data engineering focused on AI/ML workloads. 5+ years of experience in data analytics with Snowflake or Databricks platforms. Strong programming skills in Python, Java, or Scala. Familiarity with data storage solutions (Snowflake, Databricks) and APIs. Experience with cloud configuration and data governance. Knowledge of large language models (transformers) and frameworks like LangChain. Strong problem-solving skills and ability to thrive in a fast-paced environment. Preferred Qualifications Experience building AI agents and agentic workflows. Knowledge of MCP and Agent2Agent protocols. Understanding of generative models and their applications in data engineering. Familiarity with data governance and security best practices for GenAI workloads. Experience with Agile methodologies and collaboration tools like Jira and GitHub. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is dedicated to securing the world's data with Zero Trust Data Security.Our platform, powered by machine learning, protects data across enterprise, cloud, and SaaS applications, helping businesses stay resilient against cyberattacks and operational disruptions.

Technical Architect Salesforce Location: Bangalore, India Team: Enterprise Applications About the Team Rubrik s Enterprise Applications team is responsible for managing core SaaS systems (Salesforce, NetSuite, Workday, Coupa, etc.) supporting key business processes including Lead-to-Cash, Hire-to-Retire, and Customer Support. Their mission is to enhance business value and user experience while scaling the organization. Role Overview As a Salesforce System Architect, you will be the strategic and technical lead responsible for designing, implementing, and optimizing scalable Salesforce solutions. This is a high-impact role requiring deep technical knowledge, enterprise-grade architectural skills, and strong collaboration with both business and IT stakeholders. Key Responsibilities Architecture & Design Define scalable, secure, and maintainable Salesforce architecture. Establish design and integration standards and best practices. Evaluate and integrate AppExchange tools and third-party solutions. Development & Implementation Provide technical leadership to developers and admins on complex projects. Oversee integrations between Salesforce and enterprise systems (e.g., ERP, HRIS). Lead end-to-end solution delivery design through deployment. Strategy & Collaboration Translate business requirements into architectural blueprints. Act as a trusted advisor to stakeholders on leveraging Salesforce for impact. Align solutions with broader enterprise architecture and IT strategy. Optimization & Maintenance Monitor and optimize system performance and scalability. Address technical debt, platform upgrades, and continuous enhancements. Governance & Compliance Define and enforce data governance, security, and SOX compliance protocols. Ensure proper licensing and usage in line with Salesforce contracts. Experience You ll Need Required 10+ years of Salesforce experience, including development and architecture. Strong command of Sales, Service, Experience, and Marketing Clouds. Expertise with Lightning, Apex, SOQL, Visualforce, Flows, and LWC. Proven record of integrating Salesforce with ERP, HR, and custom apps. Deep familiarity with CI/CD tools (Copado, Gearset) and DevOps practices. Salesforce certifications: System Architect, Application Architect, or CTA (preferred). Preferred Experience with Agile/Scrum delivery. Hands-on with ETL tools like MuleSoft, Informatica, Dell Boomi. Excellent problem-solving and stakeholder communication skills. Core Competencies Strategic and architectural thinking. Leadership and mentorship of technical teams. Ability to balance multiple priorities in a fast-paced environment. Strong attention to detail and focus on quality. Strong interpersonal and collaboration skills. Rubrik leads in Zero Trust Data Security , offering cutting-edge technology to protect enterprise data from cyber threats. The company supports continuous learning, innovative work, and impactful contributions within a high-growth environment.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience with one or more general-purpose programming languages, including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go. 4 years of experience with Distributed Processing, System Design, and High-Performance Computing. Preferred Qualifications: Experience in solving ambiguous problems in complex environments. Experience in building distributed systems that are scalable and efficient. Ability to design and complete projects independently, taking ownership of the end-to-end process. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. The list of technologies we engage with is always growing. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Core Team Overview: The Core team builds the technical foundation behind Google s flagship products. We are the owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure that make up the backbone of Google s services. These are essential building blocks for creating excellent, safe, and coherent user experiences that also drive the pace of innovation for every developer at Google. We look across Google s products to build central solutions, break down technical barriers, and strengthen existing systems. As the Core team, we have the unique opportunity to impact critical technical decisions across the company, influencing the direction of the most foundational and influential aspects of Google s technology. Responsibilities: Work on a core indexing platform that is pivotal to the functionality and performance of Google s services. Design, develop, and maintain highly efficient, scalable, and robust systems to manage large-scale indexing challenges. Work with cross-functional teams to create innovative solutions for distributed computing problems, ensuring that Google s products remain performant and reliable at scale. Contribute to building distributed systems capable of handling immense data volumes in real-time, ensuring that Google's systems can scale with global usage. Participate in code reviews, design discussions, and the creation of detailed documentation to ensure high-quality outcomes. Qualification : Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

Job Description: Senior Salesforce Developer Join a global organization with 82000+ employees around the world, as a Senior Salesforce Developer based in IQVIA Bangalore. You will be part of IQVIA s world-class technology team and will be involved in design, development, enhanced software programs or cloud applications or proprietary products. Salesforce Developer responsible for making configuration & customization changes to existing objects and code. As a member of the Centris Speaker Bureau team, ability to work on Change Request & provide L2 support with strong analytical skills on functional and technical aspects of Centris applications with good Apex Coding, VFpages, LWC, Auar Component exposure on Lightning interface. Work independently on Change Request. Requirements: 5 - 8 years of experience in SFDC, ideally should have worked in Apex Coding, VFpages, LWC, Aura Component, Lightning flows and SFDC Certified on DEV (PD1/PD2), Administration, Sales Cloud or Service Cloud. Has a good understanding of the cloud computing concepts. Knowledge on the Salesforce product landscape, Sales Cloud and Service Cloud. Experience in Web Service APIs for integration purposes. Knowledge on healthcare domain, concept of sales territory hierarchy would be an advantage. Good Knowledge on CICD, Deployment tools like COPADO, GITLAB. Hands-on exposure on Visualforce pages, Lightning Flexi pages, Apex Coding, and skilled in SOQL knowledge and use of Workbench/Data Loader/Inspector tools. Expert level of Salesforce configuration, workflow, approval process, Flow and other automation features. Good to have exposure on tickets tools like, Remedy force, ServiceNow, Jira & CSM management. Strong understanding on ITIL process. Meet with stakeholders to determine project needs. Develop customized Salesforce product solutions. Design, code, and implement Modules & applications. Test functionality of the applications by re-producing scenarios in lower environments. Write documentation and provide technical training. Problem Solving skill with good Root Cause Analysis(RCA) is must with proactive measures to handle problem & Incidents tickets. Functional knowledge of unit testing and best practices of SDLC. Good communication skills to deal with customers, peers & stakeholders. Support including, but not limited to, SFDC configuration and preparation of standard operating procedure (SOP) documentation for day to day process & a strong Incident handling skills. Ability to complete all assigned requests within projected time lines & SLA s. Ability to come up with innovative technical solutions while applying Salesforce best practices and working within coding standards. Knowledge on Lightning is must. Open to work on rotational shifts (specific to EMEA & US region).

Engineer - Enterprise Platform (E-commerce) Job Overview Engineer - Enterprise Platform in E-commerce with 3-7 years of experience. Extensive proficiency in middleware MVC, JavaScript, CSS, web components, data management, integration, agile development, security, API, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5. Strong understanding of middleware MVC for system communication. Skilled in front-end development, web components, and data management. Experienced in agile methodologies, information technology, and security principles. Responsibilities include designing and implementing custom solutions, creating RESTful APIs, collaborating with diverse teams, conducting code reviews, upholding coding standards, and staying updated on Salesforce features. Good to have experience in requirement analysis, mentoring, CI/CD tools, and strong interpersonal skills. Bachelor's degree in Computer Science or related field required, with preference for Salesforce Certified Platform Developer II and AWS Certified Solutions Architect - Professional certifications. Roles & Responsibilities Design, develop, and implement advanced custom solutions using Salesforce Lightning Web Components (LWC) and Apex in an enterprise platform environment. Create and maintain RESTful APIs for seamless integration between Salesforce and external systems, ensuring data consistency and security. Collaborate with diverse teams, including business analysts and project managers, to gather requirements, design solutions, and deliver business-driven outcomes. Conduct thorough code reviews, identify and debug issues, and provide technical mentorship to junior developers to enhance their skills and knowledge. Uphold best practices in coding standards, security protocols, and performance optimization throughout the software development lifecycle. Stay abreast of the latest Salesforce features and updates, proactively suggesting enhancements and innovations for continuous improvement. Leverage expertise in Salesforce administration, configuration, and data management to streamline processes and enhance system efficiency. Demonstrate proficiency in SOQL, SOSL, and integration techniques to build robust Salesforce solutions. Engage in requirements analysis, design, testing, and deployment phases with meticulous attention to detail. Possess excellent problem-solving abilities and collaborate effectively within the team and with non-technical stakeholders. Preferred qualifications include Salesforce certifications, familiarity with other Salesforce development tools, Agile methodologies, and CI/CD practices. Our Ideal Candidate Extensive experience in middleware MVC, JavaScript, CSS, web components, data management, integration, agile development, information technology, security, API, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5. Proficiency in these skills should range from intermediate to advanced levels for candidates with 3-7 years of experience. Understanding middleware MVC is crucial for managing communication between systems and enabling seamless data flow. Proficiency in JavaScript and CSS is necessary for front-end development and enhancing user interfaces. Knowledge of web components is vital for building modular and reusable web elements. Expertise in data management is required to ensure efficient storage, retrieval, and manipulation of data. Experience in integration and agile development methodologies is important for collaborative and iterative project execution. Understanding information technology and security principles is essential for maintaining system integrity and data protection. Proficiency in API development, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5 is crucial for developing scalable and secure Salesforce applications. Skills in Salesforce, Lightning Web Components, RESTful APIs, Apex, SOQL/SOSL, HTML5, CSS, and JavaScript are particularly prioritized for this role at EBAY. A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this position. Salesforce Certified Platform Developer II and AWS Certified Solutions Architect - Professional certifications are preferred for this role. Company Overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this position

Description Do you have a passion for leveraging AI and machine learning to create transformative solutions? We are seeking a Lead Data Scientist to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. Role As a Lead Data Scientist, you will own the development of complex AI solutions, driving innovation and scaling data science products that are critical to Salesforce Customer s success. You will serve as a thought leader, pushing boundaries while collaborating across teams. Key Responsibilities Machine Learning and AI Development Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. Perform model optimization for performance, scalability, and accuracy. Implement advanced feature engineering techniques for both structured and unstructured data. Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production. Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow. Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect. Deployment and tracking of real time and batch models Containerize applications using Docker and deploy them to cloud platforms. Implement robust CI/CD pipelines for seamless machine learning deployments. Design and optimize SQL queries and database schemas for efficient data retrieval. Develop and manage scalable feature engineering pipelines. Architect scalable, fault-tolerant machine learning systems. Drive engineering excellence through best practices in clean, modular code and system design. Team Leadership Mentor and guide junior data scientists, fostering a culture of learning and innovation. Establish and enforce standards and best practices for data science workflows. Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards. Operational Excellence Establish and maintain streamlined, scalable processes for data science solution development. Align with company standards to ensure consistency and scalability in AI deployments. Business Impact Collaborate with stakeholders to define problems, metrics, and data-driven solutions. Translate complex technical insights into actionable business strategies that deliver measurable value. Qualifications Experience and Education 3+ years of experience in data science, including deploying AI/ML products at scale. Bachelor s or Master s degree in Mathematics, Computer Science, or a related field (or equivalent experience). Technical Expertise Mastery of Python for data manipulation, machine learning, and software development. Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies. Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization. Proficiency in SQL, Spark, and ETL processes. Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases. Hands-on experience with cloud platforms like AWS. Soft Skills Craft detailed design documents and technical white papers. Translate technical concepts into business-friendly language. Lead cross-functional discussions and align diverse viewpoints. Deliver polished presentations to senior stakeholders. Exhibit exceptional problem-solving and leadership abilities. Why Join Us? Work on cutting-edge AI and data science projects with a measurable business impact. Collaborate with a talented and passionate team of professionals. Grow professionally with access to modern tools, technologies, and resources. Be part of a culture that values innovation, collaboration, and growth. Qualification : Bachelors or Masters degree in Mathematics, Computer Science, or a related field (or equivalent experience).