Costing Models Jobs in Bengaluru

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Technical Project Manager - AI Delivery Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and business-focused virtual telecom operator for emerging markets. Founded in 2011, Exotel powers over 50 million daily engagements across voice, video, and messaging channels. Our cloud-based solutions are trusted by over 6,000 companies in more than 60 countries including major players like Ola, Swiggy, Flipkart, GoJek, Byju s, HDFC Bank, Zomato, and Urban Company. We are a Series D company valued at $100 million, with $60 million in ARR, and we provide communication APIs, a modern omnichannel contact center, and a conversational AI platform hosted on the cloud. About the Role Exotel is looking for a Technical Project Manager - AI Delivery to oversee the end-to-end delivery of complex AI-driven projects. You ll be responsible for managing the complete project lifecycle from initiation to closure ensuring that all deliverables meet quality standards, customer requirements, and timelines. As the primary customer interface, you will manage expectations, resolve issues proactively, and ensure successful AI-first implementations for enterprise customers. In this role, you will also contribute technical insights, provide support to your team, and help drive continuous improvement while maintaining a customer-centric focus. Responsibilities Project Planning & Execution: Develop detailed project plans, including scope, objectives, timelines, budgets, and resource allocation. Track progress, ensure deliverables meet quality standards, and ensure timely delivery. Customer Interface: Act as the primary point of contact for customers on assigned projects. Conduct regular status meetings, manage customer expectations, and ensure that their needs are consistently met. Scope & Requirement Management: Work closely with customers to define and document project requirements, manage scope changes, and ensure alignment with product capabilities. Risk Management: Identify potential project risks, develop mitigation strategies, and ensure timely issue resolution. Escalate risks to the Lead Project Manager when necessary. Cross-Functional Coordination: Coordinate daily activities with delivery and engineering teams, ensuring that technical tasks align with project timelines. Facilitate smooth handovers to support engineers post-delivery. Reporting & Stakeholder Communication: Prepare and present regular project status reports to the Lead Project Manager and other internal stakeholders. Methodology Adherence: Ensure all project activities adhere to AI delivery methodologies and best practices, optimizing workflows and processes. Mentorship: Provide mentorship to junior project team members, fostering a high-performing, value-driven organizational culture. Ownership: Take ownership of business satisfaction through the tested deployment of solutions and by consistently delivering on project objectives. Experience: 5+ years of project management experience, preferably in software or SaaS delivery, with a proven track record of managing complex projects from initiation to closure. Technical Knowledge: Strong understanding of integration methods for CRMs and APIs. Familiarity with cloud systems, architecture, networking, and deployment methodologies. AI/ML Knowledge: Familiarity with AI/ML, NLP, or conversational AI concepts is a plus. Requirements Gathering: Experience in gathering and translating customer requirements into actionable business use cases. Customer Management: Ability to run customer meetings, manage expectations, and handle change requests effectively. Technical Expertise: Strong understanding of Linux, networking, databases, message queues, and caching. GenAI Exposure: Hands-on experience with GenAI technologies, such as prompt engineering and Large Language Models (LLM) applications. Soft Skills: Excellent time management, communication, and interpersonal skills. Strong organizational and problem-solving abilities. Customer-Centric: Proactive, customer-focused mindset, ensuring timely issue resolution and high-quality delivery. General Skills Lead the implementation and testing of GenAI projects, ensuring alignment with customer requirements and business goals. Coordinate with pre-sales, product, and support teams to set expectations and deliver according to timelines. Ensure adherence to SLAs, proactively resolve delivery bottlenecks, and maintain a smooth delivery pipeline. Mentor junior engineers and uphold high-quality standards in all project deliverables. Innovation at Scale: Work on cutting-edge AI and communication technologies impacting millions of people daily. Growth & Impact: Be part of a rapidly growing company with ample opportunities for career development and personal growth. Collaborative Culture: Join a passionate, supportive, and high-performing team where collaboration and innovation are core values. Competitive Benefits: Enjoy comprehensive health insurance, mental wellness support, and a robust benefits package. If you are an experienced Project Manager with a strong technical background and a passion for AI-driven solutions, we d love to hear from you. Apply Now to join the Exotel team as a Technical Project Manager - AI Delivery and play a key role in transforming customer engagement across emerging markets.

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

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 Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Instructional Designer Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader in AI-driven industrial digital transformation, working with major sectors like Oil & Gas, Pharma, Chemicals, and Manufacturing. We create innovative platforms like Cognite Data Fusion and Cognite Atlas AI to empower smarter operations. Role Overview Join the Cognite Academy team, which provides training and educational content for customers and partners. You will design and develop engaging courses, learning paths, and training materials primarily for technical users (data engineers, software developers, data scientists) and Cognite application users. Your work will enhance onboarding, self-service learning, and certification programs. Key Responsibilities Redesign and develop entire courses, micro-learning modules, and curricula using various instructional design models (e.g., ADDIE). Collaborate with subject matter experts to analyze training needs and target audiences. Create engaging multimedia content: videos, simulations, role-plays, and interactive assessments using tools like Active Presenter, Genially, Vyond. Implement courses and manage content in LMS platforms (Skilljar preferred). Design formative assessments and certification exams. Support the learning community and contribute to customer and partner engagement. Use HTML and basic coding to build learning paths and interactive content. Your Profile 2 to 5 years instructional design experience in the SaaS industry. Strong knowledge of learning theories and instructional design methods (ADDIE a plus). Proficient with authoring tools such as Active Presenter, Genially, Vyond, and at least one LMS (Skilljar a plus). Basic HTML and visual design/storyboarding skills (Adobe Creative Suite, Miro, etc.). Experience with video editing and social media content management. Basic project management and agile work methodology skills. Excellent written and verbal communication skills, able to connect with both technical and non-technical audiences. Eager to learn new technologies and improve programming skills (Python, HTML, Adobe Premiere Pro). Passionate about making a real impact on user learning and adoption. Work with a diverse global team of 70+ nationalities focused on inclusion and innovation. Modern, engaging Bengaluru office with a hybrid work model. Flat organizational structure with direct access to leaders. Opportunity to collaborate on cutting-edge projects in a fast-growing tech company. Strong community and partner ecosystem to learn from and contribute to. Excited to shape the future of learning in industrial AI? Apply to join Cognite s Academy team today!

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data 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 high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

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.

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

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.

Role: Email Marketing & CRM Automation Specialist Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Preferably Immediate Joiners Employment Type: Full-Time About Aezion: Aezion is a leading technology solutions provider, specializing in custom software development, AI-driven solutions, and enterprise digital transformation. As a trusted digital engineering partner in the USA, we are committed to delivering outstanding value across all stages of the project lifecycle architecting, designing, developing, hosting, maintaining, and supporting. We are dedicated to exceeding client expectations and stand by our promise: "Get it right, or make it right." At Aezion, we view our work as more than a job; it s a ministry that reflects our core values. Our Culture: Aezion is driven by our Purpose Love others like Christ and guided by our values of Love, Dependability, Humility, Diversity, Speed, and Innovation. We believe that service defines us, and our dedicated team of 200+ employees work with passion to transform our clients into lifelong partners. Role Overview: We are looking for an Email Marketing & CRM Automation Specialist to join our team and take ownership of lead management and automation processes. You will be responsible for managing CRM software, creating automated workflows, and driving customer engagement through email campaigns. Your expertise in CRM systems, email marketing, and lead nurturing will be critical in optimizing lead conversion and ensuring effective customer communication. Key Responsibilities: CRM Management: Oversee CRM software to organize, store, and manage lead data effectively. Ensure data is up-to-date and accurate for marketing and sales teams. Email Automation & Workflows: Develop and optimize automated email workflows and sequences for lead nurturing, customer engagement, and sales funnel management. Lead Scoring & Segmentation: Implement lead scoring models to prioritize leads based on engagement and behavior, ensuring that the most promising prospects are addressed first. CRM Data Analysis: Track and analyze CRM data to monitor performance, identify trends, and suggest improvements to the marketing strategy. CRM Integration: Integrate CRM with other marketing tools and platforms to ensure smooth workflows and data sharing across systems. Lead Nurturing: Manage and optimize lead nurturing strategies in a B2B environment, ensuring consistent engagement and progression through the sales funnel. Required Skills and Experience: CRM Expertise: Proficiency in using CRM platforms such as HubSpot, Salesforce, or similar to manage lead data and drive marketing automation. Marketing Automation: Advanced skills in setting up, optimizing, and maintaining marketing automation workflows and email campaigns. Data Analysis & Segmentation: Strong experience in customer data analytics, segmentation, and reporting to ensure targeted and personalized marketing efforts. Lead Nurturing in B2B: Expertise in lead nurturing, particularly within a B2B environment, managing sales funnels, and maximizing lead conversion rates. CRM & Marketing Integration: Ability to integrate CRM systems with other marketing technologies and tools to create a seamless experience for both customers and internal teams. Email Marketing Tools: Proficiency in email marketing platforms and tools, with a focus on driving engagement and optimizing email performance. Preferred Qualifications: Experience with HubSpot CRM or other advanced marketing automation platforms. Proven track record in managing large-scale email marketing campaigns and nurturing leads in a B2B environment. Strong understanding of customer behavior, lead scoring, and email campaign optimization.

Job Title: Cash Application Analyst Job Summary We are looking for an experienced Cash Application Analyst to manage and optimize the cash application process at our tech company, which operates on a usage-based billing model. The ideal candidate will ensure the accurate and timely application of customer payments to invoices, contribute to efficient cash flow management, and collaborate with key stakeholders to enhance processes. This role requires a meticulous professional with strong analytical skills, experience in high-volume cash application environments, and an ability to navigate in a fast-paced environment. This position will be catering to the US (EST) timezone. The Impact You Will Have Oversee the daily cash application process, ensuring customer payments are accurately and promptly applied to invoices. Monitor and reconcile incoming payments across multiple payment channels, including ACH, wire transfers, credit card transactions, and checks. Collaborate closely with the billing and collections teams to resolve discrepancies and support seamless end-to-end cash management. Develop and implement cash application policies and procedures that align with the unique aspects of a usage-based billing system. Identify and address payment discrepancies, customer account issues, and unapplied cash, facilitating timely resolutions. Maintain and update comprehensive documentation of cash application processes and customer payment records. Generate reports on cash application metrics, providing actionable insights to senior finance leadership. Participate in system enhancements and software implementations to improve cash application automation and efficiency. Liaise with the customer support team to handle customer inquiries related to payments and account reconciliations. Drive continuous process improvements and leverage technology to enhance accuracy, reduce processing times, and streamline operations. Ensure compliance with company policies and relevant financial regulations. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 4 years of experience in cash application, accounts receivable, or related financial operations. Strong understanding of usage-based billing models and associated financial processes. Excellent attention to detail and problem-solving skills. Proficiency with ERP systems and payment processing platforms; experience with NetSuite and Salesforce is a plus. Strong analytical skills with the ability to interpret data and generate reports. Effective communication and interpersonal skills for collaboration with cross-functional teams. Operate in a fast-paced environment with tight deadlines. Ability to adapt to evolving business needs and drive change management. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

Job Summary: We are seeking a highly skilled Internal Controls Quality Assurance Analyst to join our team and support our compliance and control environment. This is an exciting and challenging role where you will be responsible for Journal Entry (JE) & reconciliation analysis and reviews, ensuring accuracy and completeness in line with DXC finance policies. You will drive review calls with the JE posting and account reconciliation teams, manage end-to-end case processes, and engage stakeholders to resolve complex financial issues. The role requires proficiency in financial systems, data analysis, and expertise in financial reporting tools. Key Responsibilities: Perform JE & reconciliation analysis and reviews against pre-agreed KPIs. Conduct comprehensive and error-free analysis and reporting on JE posting and account reconciliation. Exhibit a keen understanding of finance policy requirements and apply them in daily tasks. Lead review calls with JE posting and account reconciliation teams, ensuring thorough analysis. Manage cases end-to-end, including effective interaction with both internal and external stakeholders. Engage stakeholders in identifying and solving moderate to complex financial issues or concerns. Provide expertise in SAP, Oracle, and other financial systems to ensure accurate processing and reporting. Lead or contribute expertise to functional project teams and cross-functional initiatives. Train, mentor, and monitor peers and team members to ensure adherence to quality standards and timelines. Education and Experience Required: First-level university degree in finance or accounting discipline (preferably MCom in Accountancy, CA Intermediates, or CAs). 9+ years of experience in Record-to-Report (R2R), including but not limited to JE posting and reconciliation of balance sheet accounts. Experience in transactional review and analysis is highly preferred. Experience interacting with internal and external customers is an added advantage. Exposure to working in a target-based model is desirable. Knowledge and Skills Required: Strong understanding of financial systems (P&L, Balance Sheet, etc.). Advanced proficiency in Excel (macros, large data set analysis), and working knowledge of Power BI. Strong oral and written communication skills, with the ability to clearly present findings and reports. Strong PowerPoint skills for creating effective presentations. Expert proficiency in SAP/Business Intelligence/EDW, and knowledge of LH GL/LH BW is preferred. Strong analytical skills with the ability to handle large data sets and financial reconciliation tasks. Deep understanding of accounting principles and their application in financial analysis. Strong leadership skills to manage teams and ensure process alignment. Time management skills and the ability to prioritize tasks effectively. Ability to design and improve financial processes for efficiency and compliance. Why Join Us? This role offers an opportunity to contribute to an essential part of the internal controls and finance operations at DXC. You'll work with a dynamic team, drive process improvements, and play a key role in ensuring compliance and accurate financial reporting. If you have a strong accounting background and enjoy working in a collaborative and fast-paced environment, this is the perfect role for you. Qualification : First level university degree in finance/accounting discipline. Mcom in accountancy or CA intermediates/ CAs will be preferred

Identifies business requirements, functional and system specifications that meet business user requirements, maps them to systems capabilities and recommends technical solutions. Configures system settings and options, plans, and executes unit, integration and acceptance testing, and creates systems specifications. Identifies test scenarios and cases, executes test cases, documents test results, test scripts and provides quality assurance results to the business. Examines current business procedures, system practices and IT modification design and recommends new improved ones. Designs new computer programs and systems by analyzing business requirements, constructing workflow charts and diagrams, studying system capabilities, and writing specifications. Performs troubleshooting, solves complex bug issues in production systems or applications, and collaborates with subject matter experts on issues. Anticipates complex issues and discusses within and outside of project team to maintain open communication. Serves as a technical lead on a subsystem or small feature(s), manages projects of small to medium size and complexity, performs tasks, and applies expertise in subject area to meet deadlines. Qualifications Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications: Bachelor's Degree in STEM-related field with 4 years of experience. Proficiency in SQL for data analytics and reporting. Proven expertise in functional analysis, data mapping, data transformation, business logic development. Excellent analytical, problem-solving, and communication skills. Strong attention to detail and a commitment to delivering high-quality work. Good understanding of Azure Databricks, Snowflake. In-depth knowledge of Sales functionalities and data models. Experience with integration tools and middleware. Good understanding of Sales and Marketing Business process. Technical certifications related to the requisition. Preferred Qualifications: Good understanding and experience in Artificial Intelligence and Machine Learning Ability to diagnose, and resolve systems and data issues by analyzing detailed logs Configures the system to match the required business processes by building appropriate models. Plans for testing by developing unit test conditions; tests application against the Design document and new configurations; assists BA's during functional testing; supports BA's and customers during Acceptance testing. Employs excellent written and verbal communications skills with the ability to listen, question, interpret, and clarify issues in both business and technical terms. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Communicates with stakeholders and customers to arrive at mutually agreed upon solutions or courses of action. Applies analytical skills to resolve issues and/or problems. Utilizes problem solving skills to identify and analyze root causes and develop solution recommendations. Inside this Business Group Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Qualification : Bachelor's Degree in STEM-related field with 4 years of experience.

Job Description A Senior Associate Java IBM WebSphere Commerce/HCL Commerce Technologist is considered a senior contributor for complex modules of work by bringing deep core technology expertise and relevant business subject matter expertise to the table. Your Impact: Strong understanding of HCL Commerce runtime framework and architecture with strong knowledge of struts and spring frameworks. Hands-on skills and expertise in two or more of the sub-systems in HCL Commerce (e.g. Catalog, Order, Member, Marketing, Promotion sub-systems) Hands-on skills in the application data models, access control frameworks, and various utilities like Data Loader Utilities, DB clean, stage propagation, and schedulers. Strong understanding of the key configuration of HCL Commerce like Application Configuration, Search, Caching Experience in integrating HCL Commerce application with Web Content Management Systems (CMS), Order Management Systems, Product Information Management Systems, and other third party like payments gateway, shipping, tax provider s systems, Review and Rating systems analytics CDN, and social integration. Strong programming/development knowledge in specific Java technologies including JSP, Servlets, JSTL, JSP, REST Services, JDBC, and Spring Frameworks Experience with supported databases - Oracle/DB2 DDL, DML, writing triggers and stored procedures with complex SQL skills. #LI-REMOTE Qualifications Your Skills & Experience: Minimum 6-8 years of hands-on experience in developing/customizing e-commerce applications using IBM WebSphere Commerce / HCL Commerce packaged solution. Developer certification in HCL Commerce is preferred. Should understand the Fix Pack, Feature Pack, APAR/I-Fixes/Mod upgrades and should be able to analyze the impact of this on the application Understanding of WebSphere Application Server tools, certificate management, application security, understanding of various resources and configuration like cluster configuration, virtual hosts, connection pools, threads, trouble-shooting etc. Should understand the aspect of high availability, application failover and disaster recovery, application accessibility Should understand the architecture and benefits of cloud technologies and hybrid hosting technologies and understand the basic application architecture Should understand the aspect of high availability, application failover and disaster recovery, application accessibility Set Yourself Apart With: Strong and innovative approach (thinking out of the box) to problem solving and finding the best solutions Excellent communicator (written and verbal, formal and informal) Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Ability to lead by example should be self-motivated, quick learner and a good team player Ability to multi-task under pressure and work independently with minimal supervision. Ability to prioritize when under pressure Additional Information Gender-Neutral Policy 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai) Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being

Responsibilities Understanding of IT Services like mainframe, network and Storage offerings etc., and able to work on financials with offering teams independently. Provides complex, financial analysis for a financial function or a business. Establishes and maintains relationships with finance leaders to guide and influence decision-making. Provides analytics to business initiatives, typically representing a sub-function within finance for a particular business. Supports policy and process improvement and identifies opportunities. Supports Sox & finance audit requirements. Represents finance on cross- functional teams. No pricing specialist required. Develop and manage standard cost. Candidate should have good accounting and FP&A knowledge, financial statement anaysis and zeal to learn costing. Education and Experience First level university degree with a focus in business or economics; advanced degree or accounting certification (e.g., Certified Public Accountant (CPA), Master of Business Administration (MBA) preferred. Typically 6+ years of experience as a financial analyst if candidate is a CA/CMA and 8 to 10 years of experience if candidate is M.com or holding any other finance degree and should have cost accounting experience. Typically experienced in more than one finance function. Knowledge and Skills Required Excellent understanding of accounting principles and financial analysis, with advanced knowledge in one area. Excellent analytical skills. Excellent business application skills (e.g., Microsoft Excel). Excellent communication and influencing skills. Superior teamwork skills Strong business acumen. Good project management skills.

Job Description Designs, develops, validates, and debugs software to enable Intel hardware features and to optimize for cloud, hybridcloud, and/or onprem deployment models. Understands partner software stacks and optimizes full stack software (spanning firmware, drivers, OS, middleware, SDKs, frameworks, algorithms, and applications) as required to enable cloud software. May include the development of reference cloud platform software and improving or enabling customer designs to obtain the greatest value from Intel products within the cloud. May specialize in specific technology domains including data services (ingestion, database, analytics), AI/ML, and opensource development projects. Qualifications Required Qualifications: - Bachelor's and/or Master's degree in Computer Science, Information Technology, or a related field.- 7+ years in Data Engineering or in a similar role, with a deep understanding of Snowflake platform and features.- Strong SQL skills and experience in optimizing complex queries.- Experience with Azure or AWS cloud provider platform.- Scripting skills (Python or Snowflake) for automation tasks.- Proficiency in data modeling and database design principles.- Familiarity with ETL processes and tools.- Excellent problem-solving and troubleshooting skills.- Strong communication and collaboration skills.Preferred Qualifications: - Knowledge of data warehousing best practices.- Having experience in IT data planning for Supply Chain is an added advantage.- Experience in creating Power BI reports for data analysis.- SnowPro Core certified Inside this Business Group Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Qualification : Bachelor's and/or Master's degree in Computer Science, Information Technology, or a related field.

Job Description Develops the logic design, register transfer level (RTL) coding, and simulation for an IP required to generate cell libraries, functional units, IP blocks, and subsystems for integration in full chip designs Participates in the definition of architecture and microarchitecture features of the block being designed Applies various strategies, tools, and methods to write RTL and optimize logic to qualify the design to meet power, performance, area, and timing goals as well as design integrity for physical implementation Reviews the verification plan and implementation to ensure design features are verified correctly and resolves and implements corrective measures for failing RTL tests to ensure correctness of features Supports SoC customers to ensure high quality integration and verification of the IP block Drives quality assurance compliance for smooth IP SoC handoff Qualifications Master of Science (or a Master of Technology) degree in Electrical Engineering with more than six years of relevant industry experience or a Bachelor of Science (Bachelor of Technology) degree in Electrical Engineering with more than eight years of relevant industry experience Expertise in microarchitecture, design, development, and integration of design blocks (IP) for system-on-chip (SoC) components Knowledge of Power management is preferred. Experience with formal apps would be good. Expertise in Verilog and System Verilog-based logic design. Expertise in Verilog and System Verilog-based logic design Experience in synthesis flow and timing closure, CDC, FEV. Knowledge of Python, Perl is a must Knowledge of considerations for performance, power, and cost optimization is desirable. Knowledge of formal property verification using Jasper is preferred Demonstrate excellent Self-motivation, communication, strong problem solving, and teamwork skills Set aggressive goals and meet/beat the commitments Flexible enough to work in a dynamic environment and multitask seamlessly. Ability to work independently and in a team Knowledge in IPs like I2C, I3C, SPI, UART, etc. is preferred. Experience in the field of Dfx (ATPG coverage, SCAN insertion, VISA insertion, etc.) will be an added advantage Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Qualification : Master of Science (or a Master of Technology) degree in Electrical Engineering with more than six years of relevant industry experience or a Bachelor of Science (Bachelor of Technology) degree in Electrical Engineering with more than eight years of relevant industry experience