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About Company- At Shard Center for Innovation, we thrive to create the future society through transformative education in upcoming technologies, human skills, and management practices world-wide. We excel in unparalleled programs in cutting-edge disciplines like- Artificial Intelligence, Drone, Machine Learning, Robotics, Virtual Reality (VR) and Internet of Things (IoT) etc Our Brands – https://scilindia.org/• https://www.jalsaventures.com/ Roles & Responsibilities- Conducting classroom education (Theory and practical) in AI, ML,Robotics, Drone etc.• Planning daily/weekly lessons.• Adopting an objective criterion for measuring learner progress.• Attending to age – appropriate /individual student needs and refinement of knowledge delivery accordingly.• Demonstrating various hands-on projects for the students.• To carry out Any other activities related to the above as and when decided by the management.• Teach robotics concepts and programming (Python, Scratch, C++).• Conduct hands-on, project-based activities and competitions.• Guide students in developing innovative robotics projects.• Maintain robotics kits and ensure a safe, organized learning space.• Collaborate and stay updated on STEM advancements. Requirements and skills- Bachelor's degree (Technical) preferably related to the subjects above.• Practical Knowledge of these subjects and experience in imparting lessons in these subjects.• Good written and verbal communication skills. Previous experience of conducting these subjects would be advantageous. Job Type: Full-time Pay: ₹15,000.00 - ₹32,000.00 per month Application Question(s): Do you have knowledge in the field of Artificial Intelligence , Machine learning and Data science? Language: English (Required) Work Location: In person

Company Overview: Techmindz is a premier IT training institute located in Infopark, Kochi, backed by NDimensionz and recognized for industry‑aligned, hands‑on training programs with strong placement support. Key Responsibilities Conduct structured and interactive training sessions on core AI concepts including Machine Learning, Deep Learning, and Data Science tools. Develop and maintain engaging course content—slide decks, coding notebooks, real-world datasets, projects, and assessments. Guide students through hands-on labs, algorithm implementation, and use-case-based projects. Evaluate student progress via quizzes, assignments, capstone projects, and provide personalized feedback. Stay updated with the latest trends in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Collaborate with the curriculum team to refine learning paths and keep content industry-relevant. Contribute to faculty discussions to ensure quality training delivery and continuous improvement. Requirements Bachelor’s degree in Computer Science, Data Science, or a related field. 1–2 years of experience in AI/ML development or teaching/training in related domains. Strong grasp of supervised/unsupervised learning, neural networks, model evaluation, and data preprocessing. Hands-on experience with Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch). Familiarity with Jupyter Notebooks, version control (Git), and data visualization tools. Excellent communication and presentation skills with the ability to explain complex topics clearly. Prior teaching/training or mentorship experience is an added advantage. Exposure to real-world datasets, cloud AI tools (Google Colab, AWS SageMaker), or certifications is a bonus. How to Apply Send your resume (highlighting AI/ML projects, teaching exposure, and certifications if any) to: careers@techmindz.com Job Types: Full-time, Freelance Pay: ₹200,000.00 - ₹500,000.00 per year Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Teaching: 1 year (Preferred) Language: English (Preferred) Work Location: In person

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of ML/DL R&D Engineer For Details Contact: hr-cybersecurity@am.amrita.edu Job Title ML/DL R&D Engineer Location Kollam, Kerala Job description Join our research-driven team to develop tools for robustness and fairness testing in AI models, integrating ML/DL research with practical backend development for scalable deployments at Center for Cybersecurity Systems and Networks Key Responsibilities Research and implement adversarial ML techniques (e.g., FGSM, PGD, DeepFool) to test model robustness. Design and run evaluation pipelines that probe AI models for toxic outputs, bias, or misinformation propagation, using established LLM auditing frameworks or evaluation methods. Build scalable, production-ready APIs and tools for model evaluation using FastAPI and Docker. Integrate with libraries and frameworks like IBM ART, Foolbox, and CleverHans. Automate ML testing pipelines with continuous integration/deployment. Maintain reproducible, well-documented code and experiments in a collaborative Git-based environment. Ensure robustness tools are optimized and compatible with Linux-based systems. Required Skills Machine Learning / Deep Learning Strong grasp of ML/DL fundamentals and hands-on experience with PyTorch and TensorFlow. Familiarity with adversarial ML concepts: evasion, poisoning, extraction, etc. Familiarity with fundamentals of LLMs and LLM safety evaluations and auditing. Backend Engineering Proficient in building and deploying APIs with FastAPI or equivalent. Hands-on experience with Docker, Git, Linux shell environments. Familiarity with relational databases such as PostgreSQL, MySQL, or SQLite, including basic querying and integration with backend systems. Others: Strong analytical and problem-solving skills. Ability to work independently in a research + engineering hybrid environment. Strong written communication for documentation and reporting. Last date to apply July 31, 2025

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Transport Supervisor For Details Contact: rupa.r@ammachilabs.org Job Title Research Associate – Machine Learning / Deep Learning (Entry level) Location Kollam, Kerala Required Number 1 Key Responsibilities Conduct original research in the field of machine learning (ML) and/or deep learning (DL) as per the project objectives. Design, develop, and optimize ML/DL algorithms and models for time series analysis of skilled and unskilled movement patterns captured using smart gloves. Collaborate with interdisciplinary teams of researchers and contribute to publications, reports, and technical documentation. Assist the Principal Investigator (PI) in research dissemination, and funding-related compliance. Qualification B-Tech Last date to apply July 26, 2025

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Company - We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About the role We’re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. Expert-level knowledge of SQL with strong data exploration and manipulation skills. Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Creative problem-solver who simplifies problems to their core elements. B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Who we are looking for We are seeking a highly motivated and detail-oriented individual to lead the QA and Support function for the AI Center of Excellence (CoE) shared services. The ideal candidate will bring a blend of technical depth, hands-on quality assurance expertise, and operational support experience. You will play a critical role in validating the reliability, performance, and compliance of AI solutions and ensuring smooth operations and ongoing support across the AI CoE platform and services. This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements. What you will be responsible for As Artificial Intelligence Developer you will: As Lead – AI COE Shared Service QA and Support, you will: Lead the end-to-end QA strategy, framework, and execution for enterprise AI services including Prompt Hub, RAG-as-a-Service, Fine-tuning Studio, and Agents Marketplace. Design and maintain test automation suites and validation pipelines for GenAI-based microservices, APIs, and data pipelines. Establish procedures for model output validation, performance benchmarking, and guardrail enforcement (e.g., hallucination detection, grounding checks, bias tests). Own the L2/L3 support processes for GenAI services; manage ticketing queues, triage incidents, and drive root-cause analysis with Engineering. Coordinate UAT cycles, release readiness, and production rollouts with product managers, platform teams, and DevOps. Develop and maintain monitoring dashboards, observability metrics, and alerting mechanisms to ensure production stability and SLA adherence. Act as the primary interface for audit, compliance, and InfoSec queries related to QA artifacts and operational support. Maintain comprehensive documentation and knowledge base for support workflows, known issues, and remediation steps. What we value These skills will help you succeed in this role: Hands-on experience with QA practices and tools across software and ML/AI pipelines (e.g., pytest, unittest, Postman, JMeter, LangSmith, MLflow). Strong working knowledge of GenAI lifecycle components – prompt testing, model evaluation, RAG, embedding validation, etc. Familiarity with RESTful APIs, container orchestration (Docker/Kubernetes), and cloud environments (Azure, AWS). Experience setting up automated CI/CD pipelines for test execution, using tools such as GitLab CI, Jenkins, or Azure DevOps. Understanding of governance frameworks for AI, including Responsible AI principles and audit requirements. Strong analytical and communication skills; ability to work cross-functionally with engineers, product owners, and risk managers. Proven leadership in handling production incidents, managing on-call schedules, and delivering continuous improvements. Education & Preferred Qualifications B.Tech/M.Tech/MCA or equivalent in Computer Science, Engineering, or related fields. 17 + years of experience in QA and/or production support, preferably in data/AI/ML platforms. Experience with ITIL or equivalent service management framework is a plus. GenAI/ML certification or experience working in a Center of Excellence setup preferred Additional requirements Are you the right candidate? Yes! We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. Why this role is important to us Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation. We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company. Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. We are seeking a highly experienced and dynamic Practice Head – Data Science & AI to lead our data practice in Hyderabad. This role is ideal for a technology leader with a strong foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), along with proven experience in building and scaling data practices. The ideal candidate will also have a strong business acumen with experience in solution selling and pre-sales. Key Responsibilities: Leadership & Strategy: Define and drive the strategic vision for the Data Science and AI practice. Build, lead, and mentor a high-performing team of data scientists, ML engineers, and AI experts. Collaborate with cross-functional teams to integrate data-driven solutions into broader business strategies. Technical Expertise: Lead the design and delivery of advanced AI/ML solutions across various domains. Stay abreast of industry trends, emerging technologies, and best practices in AI, ML, and data science. Provide technical guidance and hands-on support as needed for key initiatives. Practice Development: Establish frameworks, methodologies, and best practices to scale the data science practice. Define and implement reusable components, accelerators, and IPs for efficient solution delivery. Client Engagement & Pre-Sales: Support business development by working closely with sales teams in identifying opportunities, creating proposals, and delivering presentations. Engage in solution selling by understanding client needs and proposing tailored AI/ML-based solutions. Build strong relationships with clients and act as a trusted advisor on their data journey. Required Skills & Experience: 12+ years of overall experience with at least 5+ years in leading data science/AI teams. Proven experience in setting up or leading a data science or AI practice. Strong hands-on technical background in AI, ML, NLP, predictive analytics, and data engineering. Experience with tools and platforms like Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, etc. Strong understanding of data strategy, governance, and architecture. Demonstrated success in solutioning and pre-sales engagements. Excellent communication, leadership, and stakeholder management skills.

Experience- 10+ years JD- Generative AI Architect will play a pivotal role in designing, developing, and implementing advanced generative AI solutions that drive significant business impact for our clients. This role offers the exciting opportunity to work at the forefront of AI innovation, leveraging the power of AI. Role Overview: The Generative AI Architect will be responsible for the end-to-end architecture, design, and deployment of scalable and robust generative AI systems. This includes conceptualizing solutions, selecting appropriate models and frameworks, overseeing development, and ensuring the successful integration of generative AI capabilities into existing and new platforms. You will work closely with business stakeholders to translate complex requirements into high-performance AI solutions. Key Responsibilities: Architect and Design Generative AI Solutions : Lead the architectural design of generative AI systems, including model selection (LLMs), RAG and fine-tuning approaches. Azure AI Expertise : Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Python Development : Write clean, efficient, and maintainable Python code for data processing, automation, and API integrations. Model Optimization and Performance : Optimize generative AI models for performance, scalability, and cost-efficiency. Data Strategy: Design data architectures and pipelines to ingest, process, and prepare data for generative AI model training and inference, utilizing Azure data services. Integration and Deployment: Oversee the integration of generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Technical Leadership & Mentorship: Provide technical leadership and guidance to development teams, fostering best practices in AI model development, deployment, and maintenance. Research and Innovation: Stay abreast of the latest advancements in generative AI technologies, research methodologies, and industry trends. Drive proof-of-concepts (PoCs) and pilot implementations for new AI capabilities. Collaboration and Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, software engineers, and business analysts, to ensure AI solutions align with business goals and deliver tangible value. Articulate complex technical concepts to non-technical stakeholders. Required Skills and Qualifications: Minimum of 12-16 years of experience in IT, with at least 3+ years specifically focused on Gen AI architecture and development. Technical Proficiency: Deep expertise in Azure Cloud Platform and its AI services Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex). Solid understanding of large language models (LLMs), transformer architectures, diffusion models, and other generative AI techniques. Hands-on experience with prompt engineering, RAG pipelines, and vector databases (e.g., Pinecone, Weaviate, Chroma). Experience with MLOps, CI/CD, and deployment tools (Azure DevOps, GitHub, Kubernetes). Familiarity with RESTful API design and development. Architectural Principles: Strong understanding of cloud architecture, microservices architecture, and design patterns. Problem-Solving: Excellent analytical and problem-solving skills with the ability to think critically and creatively. Communication: Exceptional communication and interpersonal skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences. Team Player: Ability to work collaboratively in a fast-paced, agile environment and lead projects with multiple stakeholders. Desirable: Relevant Azure AI certifications Experience with other cloud platforms (AWS). Experience with fine-tuning LLMs for specific use cases. Contributions to open-source AI projects or publications in AI/ML. Job Type: Full-time Pay: From ₹2,000,000.00 per year Schedule: Fixed shift Application Question(s): How many years of total experience do you currently have? How many years of experience do you have in Azure Cloud Platform and its AI services? How many years of experience do you have in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex)? How many years of experience do you have as a Architect? What is your current CTC? What is your expected CTC? What is your notice period/ LWD? What is your current location? How many years of experience do you have in Gen AI architecture?

Job Description Manager, Data Scientist The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What will you do in this role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What should you have 3+ years’ experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms: Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business, Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 07/31/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R359279

At GE Appliances, a Haier company, we come together to make “good things, for life.” As the fastest-growing appliance company in the U.S., we’re powered by creators, thinkers and makers who believe that anything is possible and that there’s always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together. The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together , we always look for a better way , and we create possibilities . Interested in joining us on our journey? We are seeking a highly skilled and experienced Senior Business Analyst (P3) to join our Order Management team. This role demands a unique blend of technical expertise, functional knowledge, and strategic thinking. The ideal candidate will play a pivotal role in optimizing our order management processes, enhancing Oracle Applications, and driving key business initiatives across the organization. Position Senior Business Analyst Location Hyderabad (SAL) ININD, Bangalore, KA How You'll Create Possibilities Key Responsibilities: Deep Technical & Functional Expertise Leverage in-depth knowledge of Order Management APIs to enable seamless integration and data flow across systems. Apply expertise in parts optimization to improve inventory utilization and supply chain efficiency. Oracle Applications Enhancement Design and implement Oracle Application Framework (OAF) extensions and customizations. Enhance Oracle E-Business Suite functionalities to align with evolving business needs and improve user experience. Project Leadership Lead and contribute to high-impact initiatives such as Air and Water, Bodewell, and other strategic projects. Ensure timely delivery, budget adherence, and alignment with business objectives. Process Excellence Analyze and optimize end-to-end Order Management (OM) processes. Identify inefficiencies and implement improvements to streamline workflows and reduce operational costs. Innovation & Emerging Technologies Explore and apply AI and machine learning tools to automate routine tasks and enhance decision-making. Identify opportunities for predictive analytics and intelligent process automation within the OM lifecycle. Business-Technology Bridge Act as a liaison between technical teams and business stakeholders. Translate complex technical concepts into clear business language and articulate the strategic value of OM initiatives. What You'll Bring to Our Team Qualifications: Bachelor’s or Master’s degree in Business, Information Systems, Supply Chain, or related field. 5–8 years of experience in Order Management, with a strong background in Oracle EBS and OAF. Proven experience with APIs, systems integration, and process optimization. Familiarity with AI/ML tools and their application in business process automation is a plus. Excellent communication, stakeholder management, and problem-solving skills. Preferred Skills: Oracle Order Management Cloud experience. Knowledge of Agile methodologies and project management tools. Experience in global supply chain environments. Our Culture Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities. This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices. By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy. GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization. GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to ask.recruiting@geappliances.com

Join US as a Principal Engineer – Mobile Applications! Are you ready to lead the next generation of mobile innovation in the IoT space? At ORBCOMM, we’re seeking a Principal Engineer – Mobile Applications to spearhead the design, architecture, and development of transformative mobile experiences across Android, iOS, and cross-platform environments. This is more than a coding role—it’s a chance to define the future of how industries connect their physical and digital worlds. Why You’ll Love Working Here: We foster a collaborative and forward-thinking culture where technical excellence and innovation are celebrated. As a Principal Engineer, you’ll play a strategic role in shaping our mobile technology stack, mentoring development teams, and delivering impactful solutions in a global organization. With a flexible hybrid work schedule, collaborating onsite at our Hyderabad office 4 days a week while also benefiting from the flexibility of remote work. What You’ll Do: Architect and design scalable, efficient mobile solutions across native (iOS, Android), hybrid, and progressive web applications. Translate customer requirements and product vision into technical specifications and reusable development assets. Lead development of mobile features using Kotlin Multiplatform and modern UI frameworks like Jetpack Compose and SwiftUI. Conduct detailed code reviews, establish coding standards, and promote clean, maintainable code across teams. Mentor junior and mid-level developers, fostering a culture of growth and technical excellence. Partner with Product Managers to align technical execution with strategic product goals. Represent mobile engineering in customer-facing meetings and cross-functional discussions. Evaluate and introduce new tools, technologies, and frameworks to elevate mobile development practices. Stay current with emerging trends in mobile, cross-platform, and IoT technologies. Contribute to ORBCOMM’s long-term technical vision and innovation roadmap. Ensure robust mobile security practices aligned with OWASP and industry standards. Implement and optimize communication protocols including REST, GraphQL, WebSockets, MQTT, and CoAP. Support deployment through CI/CD pipelines and collaborate with DevOps for scalable delivery Who You Are: You’re a mobile architecture expert, an innovative problem-solver, and a natural mentor. You’re passionate about cutting-edge technologies and driven to build applications that are performant, secure, and built to scale. 10+ years of experience in mobile application development, with hands-on leadership in complex mobile projects. Proven expertise in Android (Kotlin) and iOS (Swift) development. Experience with hybrid frameworks such as React Native or Flutter. Strong command of Kotlin Multiplatform Mobile (KMM) and modern mobile architecture patterns. Familiarity with IoT protocols like MQTT or CoAP and cloud platforms such as AWS IoT or Azure IoT. Deep knowledge of secure mobile coding practices and RESTful API integrations. Excellent problem-solving and communication skills. A track record of mentoring developers and driving best practices across mobile teams. And ideally, also bring: Experience with Jetpack Compose and SwiftUI. Familiarity with CI/CD pipelines for mobile applications. Exposure to edge computing, ML integrations, or open-source contributions. Experience with Agile methodologies and distributed development teams. Speaking engagements or publications in mobile development or IoT spaces. Then we want to meet you! About Us: At ORBCOMM, we’re pioneers in IoT technology, that drives innovation and empowers our clients to make data-driven decisions. Our industry-leading solutions enable customers to boost productivity, streamline operations and increase their bottom line. With over 30 years of experience and the most comprehensive solution portfolio in the industry, we enable the management of millions of assets worldwide across diverse sectors including transportation, heavy industries, satellite, and maritime. Discover how ORBCOMM is transforming industries and unlocking the potential of data to drive meaningful change by visiting us at www.orbcomm.com! Ready to Join Us? We believe that our people are our greatest asset. Your skills and passion can help us achieve remarkable things! If you’re seeking a thrilling career opportunity in a vibrant, growth-oriented environment, ORBCOMM is the perfect fit for you. We are committed to building a diverse and inclusive workplace and appreciate all applicants for their interest in joining our team. Only candidates selected for an interview will be contacted. At ORBCOMM, we are also dedicated to ensuring accessibility and are pleased to offer accommodations for individuals with disabilities upon request throughout all aspects of the selection process.

Position Title: Product Owner, Portfolio Data Product About Portfolio Management in R&D context In the context of research and development the portfolio is the referential for all the new compound and drug that enter is SANOFI portfolio refers to the methods and tests used to ensure that a pharmaceutical product meets the required quality standards before it is approved for market use. About the Role: We are looking for a Digital Product Owner to lead the development of innovative software products supporting portfolio management for research and development this includes technologies such as advanced machine learning operations (ML Ops) workflows, including generative AI if there are any use cases. As the Product Owner, you will be responsible for collaborating with your peers and digital stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated agile team composed of data engineers and application engineers to deliver high-impact digital products that empower cutting-edge data consumers in research and development. Key Responsibilities: 1. Product Ownership: o Lead the development and evolution of digital of core data products that support research and development portfolio management o Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. o Gather and prioritize requirements from portfolio stakeholders, technical and functional to define the “What” and “Why” of product development. 2. Collaboration & Stakeholder Management: o Work closely with data consumers (Digital and business if any), data engineers, and platform engineers to ensure the product meets both functional and technical requirements. o Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. 3. Product Delivery: o Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. o Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. o Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. 4. Continuous Improvement: o Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. o Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. 5. Technical Leadership & Strategic Vision: o Bring a deep research and development portfolio processes to align the product vision to real needs. o Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. Key Requirements: Experience: o 5+ years in product management or at least in project management. o Experience leading product(or service) development in pharmaceutical environments, particularly research, manaufacturing or development. o Knowledge on data integration and computing o Familiarity with cloud environments such as AWS. o Strong understanding of artificial intelligence and machine learning). Soft Skills: o Strong drive and ability to articulate product vision and align teams around shared goals. o Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. o Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. o Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. Technical Skills: o Solid knowledge of Agile methodologies, including experience working in Scrum teams. o Familiarity with Data base, data integration and data engineering. o Strong understanding of UX/UI, application design, and data engineering principles. o Experience with cloud platforms, AI platforms, and data pipelines is a plus. Education: o Master’s degree in computer science, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus.

Job Title: Databricks Developer / Data Engineer Duration - 12 Months with Possible Extension Location: Hyderabad, Telangana (Hybrid) 1-2 days onsite at client location Job Summary: We are seeking a highly skilled Databricks Developer / Data Engineer with 5+ years of experience in building scalable data pipelines, managing large datasets, and optimizing data workflows in cloud environments. The ideal candidate will have hands-on expertise in Azure Databricks, Azure Data Factory, and other Azure-native services, playing a key role in enabling data-driven decision-making across the organization. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and integration Work with both structured and unstructured data from a variety of internal and external sources Collaborate with data analysts, scientists, and engineers to ensure data quality, integrity, and availability Build and manage data lakes, data warehouses, and data models (Azure Databricks, Azure Data Factory, Snowflake, etc.) Optimize performance of large-scale batch and real-time processing systems Implement data governance , metadata management, and data lineage practices Monitor and troubleshoot pipeline issues; perform root cause analysis and proactive resolution Automate data validation and quality checks Ensure compliance with data privacy, security, and regulatory requirements Maintain thorough documentation of architecture, data workflows, and processes Mandatory Qualifications: 5+ years of hands-on experience with: Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database Azure Logic Apps, Azure Data Factory, Azure Databricks, Azure ML Azure DevOps Services, Azure API Management, Webhooks Intermediate-level proficiency in Python scripting and PySpark Basic understanding of Power BI and visualization functionalities Technical Skills & Experience Required: Proficient in SQL and working with both relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB, Cassandra) Hands-on experience with Apache Spark, Hadoop, Hive for big data processing Proficiency in building scalable data pipelines using Azure Data Factory and Azure Databricks Solid knowledge of cloud-native tools : Delta Lake, Azure ML, Azure DevOps Understanding of data modeling , OLAP/OLTP systems , and data warehousing best practices Experience with CI/CD pipelines , version control with Git , and working with Azure Repos Knowledge of data security , privacy policies, and compliance frameworks Excellent problem-solving , troubleshooting , and analytical skills

Job Title: Python Backend Engineer – AWS | GenAI & ML Experience: 5 Years Employment Type: Full-Time Job Summary: We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus. Key Responsibilities: Design, develop, and maintain Python-based backend systems and AI-powered services. Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration. Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Implement GenAI pipelines using Langchain; LangGraph experience is a plus. Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment. Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production. Build and manage CI/CD pipelines for backend and model deployments. Ensure performance, scalability, and security of applications in cloud environments. Monitor production systems, troubleshoot issues, and optimize model and API performance. Required Skills and Experience: 5 years of hands-on experience in Python backend development. Strong experience building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc. Solid understanding of ML/AI concepts and model deployment practices. Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Langchain for building GenAI applications. Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform. Good understanding of microservices architecture and CI/CD workflows. Agile development experience. Nice to Have: Experience with LangGraph for agentic workflows or graph-based orchestration. Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS). Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Understanding of MLOps tools and practices for model monitoring, versioning, and retraining. Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 9966550640

India - Hyderabad JOB ID: R-221140 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jul. 25, 2025 CATEGORY: Engineering As a Sr Associate IS Engineer, you will join a collaborative team implementing and supporting the next generation of safety platforms and supporting technologies. In this role, you will engage with business users and functional SMEs, driving the delivery of innovative technology solutions that enhance business outcomes. Areas of focus will be on leading team performance, delivery management, and facilitating continuous improvement in both technical skills and user experience. Roles & Responsibilities: Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs Lead the day-to-day operations and maintenance of Pharmacovigilance (PV) systems. Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow IS Change Control and GxP validation process. Provide support and consultation to clients or project teams to identify requirements and assist with application configurations and deployments. Monitor operational and performance statistics for managed systems to ensure reliability and availability. Oversee production change control schedule and participates in change control processes. Stay updated on industry trends, emerging trends and standard processes for PV systems. Maintain knowledge of trends in application development frameworks and related new technologies to provide, recommend, and deliver standard methodology solutions. Basic Qualifications and Experience: Master’s / Bachelor's degree with 5-9 years of experience in Computer Science, Software Development, IT or related field Functional Skills: Must-Have Skills: Experienced in database programming languages, data modelling concepts, including Oracle SQL and PL/SQL. Excellent problem-solving skills. Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team. Hands-on experience with the ITIL framework. Good-to-Have Skills: Experience with API integrations such as MuleSoft, Data Bricks platforms Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Experienced in managing GxP systems and implementing GxP projects Extensive experience with Software Development Lifecycle (SDLC). Ability to explain technical concepts to non-technical clients Professional Certifications: SAFe® for Teams certification (preferred) Soft Skills: Excellent analytical and problem-solving skills Excellent leadership and critical thinking abilities Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Ability to deal with ambiguity and prioritize Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Overview: We are looking for a highly motivated and curious Python Developer who can work on developing automation frameworks and Gen AI aided tools to enhance productivity of our Engineers. This role will involve working on cutting-edge internal tools and R&D initiatives leveraging modern advancements including Generative AI and Large Language Models (LLMs). Main Duties / Responsibilities: Develop and maintain TAF (Test Automation Framework) which is in Django, Ninja, React-JS Develop, integrate and maintain LLM-based applications and tools using Python. Work on prompt engineering, model fine-tuning, and API-based integrations (e.g., OpenAI, Hugging Face). Contribute to the development of Retrieval Augmented Generation (RAG) systems. Assist in preparing datasets and pipelines for training and inference. Prototype AI-powered features, assistants, or copilots for internal use cases. Collaborate closely with team members in iterative development and research-driven experimentation. Essential Skills & Qualifications: Must have skills Working experience of 1-3 years. Strong programming skills in Python. Experience in Python, Django, Ninja, GenAI-APIs, LLMS, prompt-engineering Good problem-solving skills and an analytical mindset. Curiosity and eagerness to learn emerging technologies and put them into action. Ability to collaborate effectively in a team setting. Nice to have skills Familiarity with libraries/frameworks like LangChain, Hugging Face Transformers, PyTorch, or TensorFlow. Experience with GenAI tools and APIs (e.g., OpenAI, Cohere, Anthropic). Exposure to MCP Personal or academic projects involving LLMs or generative models. Participation in AI/ML hackathons or competitions. Active GitHub portfolio or contributions to open-source AI projects. Exposure to AWS services Why join us? We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day. Be rewarded for your efforts We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration. Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply .

Overview: As a key member of the team, you will be responsible for designing, building, and maintaining the data pipelines and platforms that support analytics, machine learning, and business intelligence. You will lead a team of data engineers and collaborate closely with cross-functional stakeholders to ensure that data is accessible, reliable, secure, and optimized for AI-driven applications Responsibilities: Architect and implement scalable data solutions to support LLM training, fine-tuning, and inference workflows. Lead the development of ETL/ELT pipelines for structured and unstructured data across diverse sources. Ensure data quality, governance, and compliance with industry standards and regulations. Collaborate with Data Scientists, MLOps, and product teams to align data infrastructure with GenAI product goals. Mentor and guide a team of data engineers, promoting best practices in data engineering and DevOps. Optimize data workflows for performance, cost-efficiency, and scalability in cloud environments. Drive innovation by evaluating and integrating modern data tools and platforms (e.g., Databricks, Azure etc) Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field. 7+ years of experience in data engineering, with at least 2+ years in a leadership or senior role. Proven experience designing and managing data platforms and pipelines in cloud environments (Azure, AWS, or GCP). Experience supporting AI/ML workloads, especially involving Large Language Models (LLMs) Strong proficiency in SQL and Python Hands-on experience with data orchestration tools

Microsoft is where passionate innovators come to collaborate, envision what’s possible, and push the boundaries of what technology can achieve. We operate in a world of more: more possibilities, more innovation, and more impact—enabled by a cloud-first, AI-powered platform. The Business & Industry Copilots group builds and operates Microsoft’s business applications and agentic AI tooling—including Dynamics 365, Copilot Studio, Power Apps, Power Automate, and Dataverse. Power Platform now serves over 56 million monthly active users, and Copilot Studio powers agents in 230,000+ organizations, including 90% of the Fortune 500. To help our largest, most strategic customers unlock real business value with these tools, we are forming a Forward Deployed Engineering (FDE) team within the Copilot Studio Customer Advisory Team (Power CAT). As an Agent FDE Solution Architect, you will engage deeply with one strategic customer at a time, embedding for multiple weeks to co-design and co-develop their first production-ready Copilot Studio agents—be it conversational agents, autonomous agents, or M365 Copilot agents. Your mission: ensure successful adoption and fast-track value realization during the initial implementation phase. You will operate at the intersection of delivery and product, working hands-on with customers to design agent flows, integrate Azure services and enterprise systems, and build real-world solutions using the full extensibility of the Microsoft stack. You'll partner closely with Microsoft field teams, product groups, and engineers to unblock adoption and ensure every deployment is scalable, secure, and impactful. FDEs thrive in ambiguity, adapt quickly, and ship fast. You’ll bring clarity to complex engagements, surface repeatable patterns, and directly influence the evolution of Copilot Studio by channeling field feedback into engineering priorities. Join us if you want to shape the future of agentic AI at scale—by making our most strategic customers successful, one production deployment at a time. Responsibilities Embed deeply with one customer at a time to design and deliver production-ready agents using Copilot Studio, Power Platform, Microsoft 365 Copilot, and Azure services. Own end-to-end delivery: from scoping and prototyping to production deployment—building full-stack agentic solutions that integrate securely with enterprise systems and APIs. Collaborate closely with customer stakeholders (from execs to developers), Microsoft field teams, and product engineering to ensure successful adoption and unblock complex scenarios. Move fast in ambiguous spaces—driving rapid iteration, experimentation, and architectural decisions that balance speed, scope, and quality. Surface field insights to influence the Copilot Studio product roadmap—articulating blockers, patterns, and needs from real-world deployments. Operate hands-on with extensibility patterns, connectors, Azure integration, and conversational orchestration—doing whatever it takes to ship value. Contribute to scale: codify best practices, publish internal playbooks, and share reusable patterns to help the FDE function grow and evolve. Celebrate impact: identify customer success stories and bring them forward to showcase the real-world value of agentic AI. Qualifications 5 years of demonstrated work experience in a software development or software delivery business with a strong emphasis on customer-facing engagements. Familiarity with the concepts of Generative and Agentic AI Hands-on delivery of the key Power Platform and Copilot Studio technologies and areas: Microsoft Copilot Studio (previously Power Virtual Agents) Power Platform governance, security, and administration. Power Platform Application Lifecycle Management. Power Platform no-code, low-code, and pro-dev extensibility patterns. Core AI application development and solution architecture experience. Excellent communication and presentation skills. Comfortable in having conversations with customer stakeholders at multiple levels (C-level execs, program leads, directors, low-code app makers, developers, architects). Strong project management , problem solving and negotiating skills , with proven ability to handle difficult and sensitive situations involving the most critical and politically charged customer situations. Comfortable with ambiguity and self-learners who can make decisions and keep making progress with minimal guidance and thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact. Strong leadership acumen , with ability to drive results by influencing without authority. Team player with a demonstrated habit of sharing and scaling knowledge – either internally or externally – through documentation, presentations, videos, code samples, accelerators, etc. Are willing to travel up to 50% and work on-site with customers to build strong relationships and deeply understand their needs. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred /Additional Qualifications 10 years of demonstrated work experience in a software development or software delivery business with a strong emphasis on customer-facing engagements. Technical Sales Acumen : Experience presenting the value of technology solutions and architectures through customer presentations, design sessions, POCs accelerating technical wins, with an understanding of enterprise sales is a big plus. Develop and maintain technical expertise : An FDE should stay up to date with the latest developments and advancements in Generative and Agentic AI space including new tech, competitors, and internal product and services offerings. Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem. Experience in leading complex deployments of Generative AI /traditional ML solutions . Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

JOB DESCRIPTION We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI/ML Data platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on security engineering concepts and 3+ years applied experience Expeirence in ServiceNow configuration and administration, with a strong understanding of the ServiceNow platform and PaaS model, including integration solutions like SSO, SAML, SSL, Web Services, LDAP, JDBC, ODBC, REST, SCP, SFTP, and MID servers. Proficient in leveraging ServiceNow codeless technologies such as Flow Designer and Integration Hub. Experienced with CMDB and integration with external tools, as well as Service Portal, Request Catalog, and Automations across the ServiceNow platform. Knowledgeable in AI and ML capabilities, and web technologies like SOAP, JSON, XML, and Web Services. Experience with ITOM modules, including Orchestration, Service Mapping, Event Management, and Discovery, along with software development in languages such as Java, Python, JavaScript, and JS Libraries and Frameworks. Strong team player with excellent organizational and time-management skills, capable of leading projects using Agile or Scaled Agile methodologies, and possessing a process-oriented, analytical, and inquisitive mindset. Preferred qualifications, capabilities, and skills Certified ServiceNow Administrator and Certified Implementation Specialist in one module (ITSM, ITOM, CSM, ITBM, HR). ITIL foundations certification ABOUT US

Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor’s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group BIC Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us! We are looking for talented and motivated data engineers interested in helping our organization empower learners through producing valuable data that can be used to understand the organization's needs to make the right decisions. We want you for your passion for technology, your curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions, and your ability to deliver. We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development. Responsibilities Implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions. Leveraging machine learning(ML) models knowledge and implement appropriate solutions for business objectives. Ship high-quality, well-tested, secure, and maintainable code. Develop and maintain software designed to improve data governance and security. Troubleshoot and resolve issues related to data processing and storage. Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering. Creates and implements code for a product, service, or feature, reusing code as applicable. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Troubleshooting live site issues as part of both product development and Designated Responsible Individual (DRI) during live site rotations. Remains current in skills by investing time and effort into staying abreast of latest technologies. Qualifications Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3+ years experience in business analytics, software development, data modeling or data engineering work. Software development using languages like C#, JavaScript or Java. Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases. Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms. Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment. Strong problem solving, design, implementation, and communication skills. Strong intellectual curiosity and passion for learning new technologies. Preferred Qualifications: Experience with data engineering projects with firm sense of accountability and ownership. Experience in ETL/ELT, Data warehousing, data pipelines and/ or Business Intelligence Development. Experience using ML, anomaly detection, predictive analysis, exploratory data analysis. A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture. Business Intelligence experience or visualization with tools such as Power BI is also beneficial. Experience implementing data systems in C#/Python/Scala or similar. Working knowledge of any (or multiple) of the following tech stacks is a plus: SQL, Databricks, PySparkSQL, Azure Synapse, Azure Data Factory, Azure Fabric, or similar. Basic Knowledge of Microsoft Dynamics Platform will be an added advantage. #BICJobs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. Build the Future of Data, Analytics, and AI with Teradata Are you driven by the challenge of shaping the future of database technologies, analytics, and AI—whether in the cloud, on-premises, or hybrid environments? At Teradata, we invite you to be part of a visionary team that’s redefining the landscape of intelligent data platforms. We are actively hiring talented engineers who are passionate about building world-class products and solving complex data and analytics challenges. Join our India Development and Excellence Centre and contribute to innovations that empower global enterprises. Analytics and AI Team Our Analytics and AI team leads the charge in delivering next-generation capabilities within Teradata’s unified data platform. We’re pioneering technologies such as: Enterprise-grade databases for RAG-based AI applications and intelligent agents In-database analytics functions and BYOM (Bring Your Own Model) deployment SQL-based generative AI and Agentic AI systems that combine reasoning, retrieval, and orchestration at scale We are building intelligent, production-ready analytics that allow users to move effortlessly between traditional data processing and advanced AI workflows—all within the trusted, governed environment of Teradata VantageCloud . At Teradata, we don’t just manage data—we unlock its full potential through the power of AI and ML. As a key contributor, you’ll help architect, build, and deploy transformative software solutions that are central to our strategic vision and global impact. Data Platform & Query Optimization Team Our Core Database Engineering team is focused on developing cloud-native database features that support distributed query processing, autoscaling, and high availability. We’re building systems that are: Highly performant, secure, and reliable for large-scale analytical workloads Powered by elastic compute clusters for high concurrency and scalability Designed with advanced storage and retrieval mechanisms across diverse data sources Enterprise-grade databases for RAG-based AI applications and intelligent agents The Query Optimizer Team is the brain behind efficient data access. From cost-based plan selection and join reordering to adaptive execution and cardinality estimation, we fine-tune every aspect of query planning to ensure optimal performance at scale. If you’re passionate about performance, this is where the magic happens. AI-Powered Test Automation As we deliver AI to our customers, we also harness its power internally to enhance our development lifecycle. Our AI-based test automation initiatives focus on: Building autonomous and agentic systems that analyze billions of test events Identifying root causes of failures and accelerating release decisions Experimenting with LLMs, vector stores, and multi-agent orchestration frameworks to evolve testing from passive verification to proactive, self-healing quality assurance Why Teradata? At Teradata, you’ll work with some of the brightest minds in the industry, tackle meaningful challenges, and help shape the future of data and AI. Whether you're passionate about analytics, cloud engineering, AI systems, or performance optimization— there’s a place for you here . #LI-NM1

DESCRIPTION As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. You'll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. You'll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, you'll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions. Key job responsibilities As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. You'll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. You'll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. You'll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and you'll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. BASIC QUALIFICATIONS 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS - Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders PREFERRED QUALIFICATIONS Proficient with technical expertise such as - MS-Excel Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Fire TV & Tablets Editorial, Writing, & Content Management

About the Role: Grade Level (for internal use): 08 The Role: Software Engineer - Graduate Program The Team: Technology and Customer Applications, has the responsibility to design, develop, deliver, and support software solutions. You will work in a collaborative; multi-functional team environment and you may also partner with external teams to integrate their solutions into our products with the customer at the core of everything we do. About the Graduate (IMPACT) Program (3*6 rotation) Commodity Insights is hiring through their Early Careers IMPACT (Innovative Mentoring and Professional Acceleration in Commodities) program. This program is a great opportunity for recent graduates to fuel their passion for solving real life challenges and making a difference all while gaining experience with cutting edge technology. Throughout the program participants will explore different roles through job rotations with ongoing coaching and mentorship along the way. The program spans over 18 months and consists of three six-month rotations (3*6) across different departments like Full Stack Development, Data Science/AI-ML, Data Engineering/Data Virtualization, Cloud Engineering, Devops, Automation ( Test/Infrastructure), Agile Project Management & Product Development Each Impact grad gets to specialize in 3-4 of areas mentioned above in their 18 months on-the-job training. Post training, they will be allocated to any one of the tech areas they specialised in as each rotation is carefully crafted to provide recent graduates with exposure to diverse projects, technologies, and roles, ensuring a well-rounded learning experience. Through these rotations, participants will gain invaluable insights into different areas of technology while honing their skills and building a strong foundation for their career. Through structured training, mentorship, and 3 different project-based and work experience assignments, you will develop a solid foundation in energy research, gain insights into industry best practices, and contribute to solving real-world challenges. Our Technology Team is essential to this success as they develop software to meet new needs, embrace new technologies, and keep ahead of the competition. Industry-leading enterprise solutions tailored to our customers. Responsibilities: The role is focused on the development and delivery of solutions and core software products, turning change requests into technical designs and implementations that enhance existing functionality and add new capabilities, as well as continuously improving aspects of the core product architecture. All team members are responsible for the delivery into production and ensure performance, resilience, and customer satisfaction. What’s in it for you: As a Graduate Program Participant, you will quickly gain exposure to a wide range of technologies, frameworks and paradigms which will broaden and deepen your knowledge and provide a stimulating and challenging working environment. Cross-functional Exposure: Explore various domains within the technology landscape, including software development, data analytics, Data sciences, and more. Structured Learning: Benefit from structured training sessions, workshops, and mentorship opportunities tailored to your development needs. Hands-on Experience: Engage in real-world projects from day one, working alongside experienced professionals in cutting-edge technology environments. Networking Opportunities: Connect with industry experts, build relationships with peers, and expand your professional network through networking events, seminars, and community initiatives. Career Guidance: Receive personalized career guidance and support from program manager throughout your journey. Continuous Feedback: Regular evaluations and feedback sessions to track progress and ensure continuous improvement. Career Pathway: Upon successful completion of the program, participants will have the opportunity to transition into diverse roles within the organization, based on their interests, strengths, and business needs. What We’re Looking For: Basic Required Qualifications: Fresher with bachelor’s degree in computer science, Engineering, or another analytical/technical subject (Passing year 2025) Excellent communication and time management skills Willing to work in 24*5 rotational shift depending on the business requirement. Knowledge on coding, Data structure & algorithms A strong desire to pursue a career in software development and delivery and a demonstrable the ability to quickly understand and apply new technical concepts and frameworks. Strong critical thinking and problem-solving skills An aptitude to learn and adapt quickly in a rapidly changing environment. The ability to build strong working relationships in a collaborative setting. Familiarity with database concepts Good understanding of object-oriented programming, clean code principles, and design patterns Knowledge of techniques like unit testing, pair programming, code reviews, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 307485 Posted On: 2025-07-25 Location: Hyderabad, Telangana, India

Gen-AI Tech Lead - Enterprise AI Applications About Us We're a cutting-edge technology company building enterprise-grade AI solutions that transform how businesses operate. Our platform leverages the latest in Generative AI to create intelligent applications for document processing, automated decision-making, and knowledge management across industries. Role Overview We're seeking an exceptional Gen-AI Tech Lead to architect, build, and scale our next-generation AI-powered enterprise applications. You'll lead the technical strategy for implementing Large Language Models, fine-tuning custom models, and deploying production-ready AI systems that serve millions of users. Key Responsibilities - AI/ML Leadership (90% Hands-on) Design and implement enterprise-scale Generative AI applications using custom LLMs or (GPT, Claude, Llama, Gemini) Lead fine-tuning initiatives for domain-specific models and custom use cases Build and optimize model training pipelines for large-scale data processing Develop RAG (Retrieval-Augmented Generation) systems with vector databases and semantic search Implement prompt engineering strategies and automated prompt optimization Create AI evaluation frameworks and model performance monitoring systems Enterprise Application Development Build scalable Python applications integrating multiple AI models and APIs Develop microservices architecture for AI model serving and orchestration Implement real-time AI inference systems with sub-second response times Design fault-tolerant systems with fallback mechanisms and error handling Create APIs and SDKs for enterprise AI integration Build AI model version control and A/B testing frameworks MLOps & Infrastructure Containerize AI applications using Docker and orchestrate with Kubernetes Design and implement CI/CD pipelines for ML model deployment Set up model monitoring, drift detection, and automated retraining systems Optimize inference performance and cost efficiency in cloud environments Implement security and compliance measures for enterprise AI applications Technical Leadership Lead a team of 3-5 AI engineers and data scientists Establish best practices for AI development, testing, and deployment Mentor team members on cutting-edge AI technologies and techniques Collaborate with product and business teams to translate requirements into AI solutions Drive technical decision-making for AI architecture and technology stack Required Skills & Experience Core AI/ML Expertise Python : 5+ years of production Python development with AI/ML libraries LLMs : Hands-on experience with GPT-4, Claude, Llama 2/3, Gemini, or similar models Fine-tuning : Proven experience fine-tuning models using LoRA, QLoRA, or full parameter tuning Model Training : Experience training models from scratch or continued pre-training Frameworks : Expert-level knowledge of PyTorch, TensorFlow, Hugging Face Transformers Vector Databases : Experience with Pinecone, Weaviate, ChromaDB, or Qdrant Technical StackAI/ML Stack Models : OpenAI GPT, Anthropic Claude, Meta Llama, Google Gemini Frameworks : PyTorch, Hugging Face Transformers, LangChain, LlamaIndex Training : Distributed training with DeepSpeed, Accelerate, or Fairscale Serving : vLLM, TensorRT-LLM, or Triton Inference Server Vector Search : Pinecone, Weaviate, FAISS, Elasticsearch Infrastructure & DevOps Containerization : Docker, Kubernetes, Helm charts Cloud : AWS (ECS, EKS, Lambda, SageMaker), GCP Vertex AI Databases : PostgreSQL, MongoDB, Redis, Neo4j Monitoring : Prometheus, Grafana, DataDog, MLflow CI/CD : GitHub Actions, Jenkins, ArgoCD Professional Growth Work directly with founders and C-level executives Opportunity to publish research and speak at AI conferences Access to latest AI models and cutting-edge research Mentorship from industry experts and AI researchers Budget for attending top AI conferences (NeurIPS, ICML, ICLR) Ideal Candidate Profile Passionate about pushing the boundaries of AI technology Strong engineering mindset with focus on production systems Experience shipping AI products used by thousands of users Stays current with latest AI research and implements cutting-edge techniques Excellent problem-solving skills and ability to work under ambiguity Leadership experience in fast-paced, high-growth environments Apply now and help us democratize AI for enterprise customers worldwide. Job Type: Full-time Pay: ₹900,000.00 - ₹1,600,000.00 per year Schedule: Monday to Friday Supplemental Pay: Performance bonus