24886 Ml Jobs - Page 35

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

Job description About this role Role Summary: We’re seeking a dynamic System Engineer to design and deliver intelligent, scalable, and reliable data systems. This hybrid role combines data engineering, AI/ML integration, system reliability, and DevOps to accelerate data collection, enable intelligent workflows, and drive business impact. You’ll collaborate across engineering, data analytics, and business teams to build reusable frameworks, reduce time-to-value, and uphold engineering excellence. Key Responsibilities: Data & AI Workflow Engineering Accelerate data collection at scale from millions of sources using robust, scalable pipelines. Design, build, and deploy workflows that combine AI/ML models with human-in-the-loop systems. Operate as a full-stack data engineer, taking projects from problem formulation to production. Develop APIs and services to expose data and model outputs for downstream consumption. ️ System Engineering, Reliability & DevOps Build and maintain CI/CD pipelines for data and ML services using Azure DevOps or GitHub Actions. Implement observability (metrics, logs, traces) and reliability features (retries, circuit breakers, graceful degradation). Optimize data workflows and infrastructure for performance, scalability, and fault tolerance. Platform & Framework Development Elevate development standards through reusable services, frameworks, templates, and documentation. Champion best practices in code quality, security, and automation across the engineering lifecycle. Collaborate with engineering teams across the business to improve time-to-value and share internal solutions. Collaboration & Business Impact Collaborate with engineering teams across the business to improve time-to-value and share internal solutions. Present results and recommendations clearly to technical and non-technical audiences using compelling storytelling and visualizations. Required Skills and Qualifications: 2-4 years of experience in data engineering, machine learning, or system/platform engineering. Strong programming skills in Python/DotNet or Java; proficiency in SQL, DBT, and data orchestration tools (e.g., Airflow). Experience with containerization (Docker) and Kubernetes on Azure and/or AWS. Proficiency in CI/CD, Git, and cloud-native development. Familiarity with observability tools (Azure Monitor, Prometheus, Grafana) and data validation frameworks (e.g., Great Expectations). Familiarity with data science libraries (Pandas, NumPy, scikit-learn) and deploying ML models to production. Strong understanding of distributed systems, microservices, and API design. Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R255609

Senior Manager EXL/SM/1432066 ServicesGurgaon Posted On 24 Jul 2025 End Date 07 Sep 2025 Required Experience 6 - 12 Years Basic Section Number Of Positions 1 Band C2 Band Name Senior Manager Cost Code D900268 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1800000.0000 - 28000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - AUS & APAC Organization Services LOB Services SBU Analytics Country India City Gurgaon Center Gurgaon-SEZ BPO Solutions Skills Skill PYTHON MACHINE LEARNING CREDIT RISK BANKING DOMAIN COMMUNICATION AND INTERPERSONAL SKILLS Minimum Qualification B.TECH/B.E Certification No data available Job Description Looking for data scientists with core expertise in ML model development across different use cases in credit risk domain. Well verse with advanced tree-based algorithms and hyperparameter optimization techniques. US Banking experience is preferred. Experience with mentoring/leading a small team. Good hands-on exposure in Python, and SQL with great communication skills to present the insights. Workflow Workflow Type L&S-DA-Consulting

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to team : Our Supply and Market Place division is sourcing the best possible inventory and content from our partners, generating the best prices and customer experience, and ensuring our supply is transacted fairly across our marketplace. This division builds innovative products, services, and tools to deliver high-quality experiences for partners and travellers both. The goal of Supply Coaching Foundation org is to delight partners by connecting them to the right travellers. We’ll do that by building an adaptive experience that provides data and ML driven opportunities to our partners to help them grow their business. As part of Scout team we computes, organizes and streams the recommended actions for EG's supply partners with the ultimate goal of maximizing the returns for their time investment on Expedia Marketplace. Plus we also tracks partner's reactions to these recommendations to continuously learn & evolve. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the partners of Expedia In this role, you will: Work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists to design and code large scale batch and real-time pipelines on the Cloud. Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Act as a point of contact for junior team members, offering advice and direction Actively participate in all phases of the end-to-end ML model lifecycle (includes feature engineering, model training, model scoring, model validation) for enterprise applications projects to tackle sophisticated business problems in production environments Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Participate in code reviews to assess overall code quality and flexibility. Define, develop and maintain artifacts like technical design or partner documentation Maintain, monitor, support and improve our solutions and systems with a focus on service excellence Experience and qualifications: Degree in software engineering, computer science, informatics or a similar field Experience: 5+ years if Bachelors, 3+ year if you are Masters Comfortable programming in Python(Primary) and Scala(Secondary). Hands-on experience with OOAD, design patterns, SQL and NoSQL Knowledgeable in big data technologies, in particular Spark, Hive, Hue and Databricks Experience in developing and deploying Batch and Real Time Inferencing applications. You have a good understanding of machine learning pipelines and ML Lifecycle. Have good understanding of both traditional ML Algos and Gen-AI tools/tech-stack. Experience of using cloud services (e.g. AWS) Experience with workflow orchestration tools (e.g. Airflow) Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning. Experience working with Agile/Scrum methodologies Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. As an ML Engineer, you’ll be provided with all opportunities for development and growth. Let's work together to build a better future for everyone! Requirements: Comfortable with standard ML algorithms and underlying math. Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems AWS Bedrock experience strongly preferred Practical experience with solving classification and regression tasks in general, feature engineering. Practical experience with ML models in production. Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts). Python expertise, Docker. English level - strong Intermediate. Excellent communication and problem-solving skills. Will be a plus: Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda). Practical experience with deep learning models. Experience with taxonomies or ontologies. Practical experience with machine learning pipelines to orchestrate complicated workflows. Practical experience with Spark/Dask, Great Expectations. Responsibilities: Create ML models from scratch or improve existing models. Collaborate with the engineering team, data scientists, and product managers on production models. Develop experimentation roadmap. Set up a reproducible experimentation environment and maintain experimentation pipelines. Monitor and maintain ML models in production to ensure optimal performance. Write clear and comprehensive documentation for ML models, processes, and pipelines. Stay updated with the latest developments in ML and AI and propose innovative solutions.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Introduction to team : Our Supply and Market Place division is sourcing the best possible inventory and content from our partners, generating the best prices and customer experience, and ensuring our supply is transacted fairly across our marketplace. This division builds innovative products, services, and tools to deliver high-quality experiences for partners and travellers both. The goal of Supply Coaching Foundation org is to delight partners by connecting them to the right travellers. We’ll do that by building an adaptive experience that provides data and ML driven opportunities to our partners to help them grow their business. As part of Scout team we computes, organizes and streams the recommended actions for EG's supply partners with the ultimate goal of maximizing the returns for their time investment on Expedia Marketplace. Plus we also tracks partner's reactions to these recommendations to continuously learn & evolve. In this role, you will: Work in a cross-functional geographically distributed team of Software Engineers, Machine Learning engineers and ML Scientists to design and code large scale batch and real-time applications Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Actively participate in all phases of the end-to-end software lifecycle for enterprise applications projects to tackle sophisticated business problems in production environments Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems Participate in code reviews to assess overall code quality and flexibility Define, develop and maintain artifacts like technical design or partner documentation Maintain, monitor, support and improve our solutions and systems with a focus on service excellence Experience and qualifications: Degree in software engineering, computer science, informatics or a similar field Experience: 3+ years if Bachelors, 2+ year if you are Masters Experience with algorithms and data structures Experience in backend/API development with Java Spring Boot Experience in data manipulation and storage with relational databases(SQL), NoSQL databases(MongoDB, Redis), streaming technologies(Kafka) Hands-on experience with OOAD and design patterns Basic knowledgeable of big data technologies, in particular Spark and Databricks Experience working with Agile/Scrum methodologies Good to have: Knowledge of several Amazon Web Services Knowledge of Docker and Kubernetes Understanding of Gen-AI principles and tools Experience in building data pipelines using big data technologies, such as Spark Experience with web development and a JavaScript framework, such asReact Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing India Engineering and Technology Centre is currently looking for a Lead Manufacturing Engineer to join their Manufacturing Engineering team in Bangalore , India. As a Manufacturing Engineer, you will be a part of a global team working on providing ME solutions to a wide range of Boeing products and services across the world. A successful candidate will be leading a team of Manufacturing Engineers in the preparation of aircraft build plans, component fabrication plans, developing assembly work instructions and driving process standardization. The role would primarily focus on technical supervision for ME results, planning for emergent work statements and capability development. This position will also represent the team in external technical forums and shall collaborate with senior external personnel on significant technical matters. Be a part of our hardworking and motivated team that always strives to provide technical solutions to complex problems that require ingenuity and creativity to make sure we deliver the best product and services to our customers. Position Responsibilities: Lead the team to develop and implement manufacturing build plan/fabrication plan for Aircraft modules, components and assemblies and oversees plan optimization. Guide manufacturing engineers develop work instructions for installing wire harnesses and components in panels and other assemblies. Lead the team on fabrication processes involved in wire harness fabrication and wiring by cutting, sorting, color-coding, labelling, kitting, measuring, stripping, crimping, soldering, and routing various lengths, types, and gauges of wire, heat-shrink, and other related materials. Participates on Integrated Product Teams (IPTs) to integrate technical solutions across multiple subject areas. Analyzes design/build concepts to evaluate producible design/build definitions. Resolves technical problems of significant impact to performance, cost and schedule. Mentor and develop the team on emergent skill requirements. Mentor the team on relevant industry standards and best practices. Coordinate for the training and capability development for Electrical ME team Develop technical capability among peers on DFM and producibility studies of wire harness and electrical /electronic products. Support technical reviews addressing non-conformances and perform Root Cause Corrective Action (RCCA) investigations related to a manufacturing process. Lead problem solving within region suppliers to address quality issues and drive process improvements. Position requires strong communication, teamwork, initiative, integrity and attention to details. Ability to translate complex issues into cohesive, actionable components and communicate at multiple levels of Executive Leadership across several functions. Position requires extensive knowledge of wiring concepts and implications of Electro Static Discharge Sensitive equipment, Fiber Optic, internal & external splices, sleeving, P & J sides of connectors, ground blocks, terminal blocks, terminal strips, lights, switches, resistors, etc. Apply knowledge of policies, procedures, regulations (e.g., Export compliance, intellectual property, etc.) and program management best-practices to ensure progress toward deliverables. Develops, implements, and maintains various manufacturing plans, Bill of Materials, work instructions, and illustrations to define and document as-built configuration for Electrical panels, shelves and Wire Harnesses. Reviews and approves Installation plan in CAPP/MES for installing wire harnesses and components in panels and other assemblies. Leads and implements manufacturing plans. Reviews and approves testing and inspection plans for wire harnesses, panels, and aircraft electrical systems for continuity and proper functioning. Implement the process audits for the prevailing Installation/fabrication plans and ensure they meet the defined standards. Exercises critical thinking and innovative problem solving. Lead the implementation of safety procedures, Foreign Object Debris (FOD) prevention and non-conformances issues related to electrical products and wire harness manufacturing. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Bachelor’s Degree or higher is required as a Basic Qualification. 13+ years of work experience in aerospace industry 10+ year of technical leading experience related to manufacturing of aircraft structures/payloads/electrical products/wire harness. 5+ years of experience leading a team of manufacturing engineers. Demonstrated experience with ME tools & PLM software. Knowledge of Electrical Harness design software (2D/3D) Demonstrated experience with manufacturing execution systems. Preferred Qualifications (Desired Skills/Experience): Experience with Boeing products/Commercial aircraft platforms is highly desirable. Knowledge of the Boeing Production System (BPS). Experience with Product Data Management (PDM), CATIA, CAPP, and Common Manufacturing Execution System (CMES). Typical Education & Experience: Education/experience typically acquired through a Bachelors in Engineering (Electrical/Electronics/Mechanical/Aerospace/Aeronautical) with +13 years' of experience or Masters in Engineering with + 12 years' of experience. Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Aug. 11, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

About REA Group: In 1995, in a garage in Melbourne, Australia, REA Group was born from a simple question: “Can we change the way the world experiences property?” Could we? Yes. Are we done? Never. Fast forward 30 years, REA Group is a market leader in online real estate in three continents and continuing to grow rapidly across the globe. The secret to our growth is staying true to that ‘day one’ mindset; the hunger to innovate, the ambition to change the world, and the curiosity to reimagine the future. Our new Tech Center in Cyber City is dedicated to accelerating REA Group’s global technology delivery through relentless innovation. We’re looking for the best technologists, inventors and leaders in India to join us on this exciting new journey. If you’re excited by the prospect of creating something magical from scratch, then read on. Head of Technology – REA Cyber City What the role is all about: We are excited to announce an opening for an accomplished, people-first technology leader to join us as Head of Technology at REA Cyber City (Gurugram). This is a pivotal leadership role for someone who has successfully scaled engineering organizations, thrives in product-led environments, and leads with credibility, cultural impact, and delivery discipline. You will collaborate across geographies as part of the REA Cyber City Leadership Team, while working closely with REA Group’s headquarters in Australia to shape REA’s global technology and delivery footprint. Your core responsibilities include: Delivery Leadership: Lead complex end-to-end technology delivery, ownership of outcomes across timelines, velocity, product quality, and stakeholder engagement. Build delivery mechanisms that scale with business growth and enable execution at speed. Own communication and expectation management with global stakeholders, ensuring high levels of transparency, delivery assurance, and operational visibility. Balance tech strategy with execution discipline, applying servant leadership principles to unblock teams and remove systemic obstacles. Ensure effective collaboration across Product, Design, and Business teams to align delivery goals with business value. Inject and uphold Agile delivery practices, helping team members and leaders improve iteration rhythm, product feedback loops, and throughput. Engineering Leadership: Scale and mature an engineering organisation, aligned to business outcomes and technical depth. Promote a strong engineering culture that spans quality, automation, CI/CD, and resilient architecture. Build solid engineering practices across Web, Backend, Cloud, AI/ML, Data Platforms, and Mobile. Emphasize robust programming and DevOps practices, coaching teams to write clean, testable, production-grade code. Support future-ready capabilities in engineering with a strong focus on AI, product engineering, and platform evolution. Create and institutionalize engineering governance frameworks and scalable architectural patterns. Talent Building, Mentorship & Strategic Presence: Lead hiring, coaching, and succession planning for the team. Actively mentor and grow next-gen leaders through career paths and skill-building roadmaps. Leverage your deep understanding of the NCR (Delhi-NCR) tech ecosystem to build credibility and attract top talent across engineering and delivery roles. Be visible across internal and external forums as a culture carrier and fueling collaboration through community engagement and internal knowledge networks. Advocate for talent inclusion and local ecosystem contribution via community outreach. Who we are looking for: 18+ years of total experience, with at least 10+ years in senior technology leadership roles in product-first organizations. Proven success in scaling teams, preferably in distributed product environments. Strong delivery management experience owning cross-functional product outcomes, not just pure engineering delivery. Hands-on engineering background but operates with commercial agility and a product mindset over a purely technical lens. Expertise across Agile methods, cloud-native engineering, data/AI platforms, mobile technologies, and modern delivery pipelines. Credible, inspiring leader who can influence global stakeholders, build trust through outcomes, and cultivate a culture aligned to REA’s values. Strong network and relationships in the Delhi-NCR tech ecosystem preferred, with a deep understanding of market dynamics. Your superpowers: Inspire, guide, and mentor engineering and delivery talent, creating psychological safety and performance ownership. Balance execution and innovation; you know when to push forward and when to step back and listen. Build a culture-first team, believing that how we work is as important as what we build. Think beyond code: You embrace business-model thinking, product prioritization, and customer-centered value delivery. A collaborative and humble servant leader, trusted by stakeholders, peers, and your teams. What we offer: Hybrid and flexible working model. Home pick-up / drop-off and on-site meals. Holistic insurance coverage for the family. Leave policies covering key life events, parental, family care, and celebration leave. Extensive well-being programs for mental, emotional, physical, and financial support. A global learning environment with deep exposure to product engineering at scale. A chance to shape the engineering destiny of a global real estate and tech leader

About The Flex: The Flex is on a mission to transform the global rental sector. We believe that renting a home should be as seamless as buying from Amazon. Our platform empowers tenants to rent anywhere in the world effortlessly, while providing landlords with hassle-free property management—without excessive fees. We are assembling a world-class team of ambitious, growth-minded individuals ready to scale The Flex into a global leader. We reward initiative and promote from within. Position Summary: As an AI Engineer , you will be at the forefront of integrating artificial intelligence into The Flex’s systems. You’ll build, deploy, and optimize AI-driven tools and models that support operations, customer experience, automation, and decision-making. This is a high-impact role with the potential to shape the future of tech in the real estate industry. Key Responsibilities: AI & ML Development: Build and train machine learning models for use cases like pricing optimization, Property Management Tools. LLM Integration: Develop and integrate LLM-powered features (e.g., GPT APIs) into internal tools and customer-facing products. Automation: Leverage AI to automate repetitive internal tasks, enhance support, and improve user experience. Deployment: Package and deploy models into production using modern MLOps tools and cloud infrastructure (preferably AWS). Collaboration: Work closely with engineers, product managers, and operations teams to identify and implement impactful AI opportunities. Documentation & Maintenance: Ensure reproducibility, versioning, and continuous improvement of all AI models and pipelines. What We’re Looking For: Strong problem-solving skills and a proactive mindset. Clear communication and a collaborative attitude. Ability to thrive in a fast-paced, remote-first startup environment. Why Join The Flex? Join an innovative company revolutionizing the real estate and hospitality space. Play a key role in building AI products from the ground up. Competitive salary and performance-based incentives. Growth-oriented culture with fast career progression. Work remotely with a flexible schedule and a dynamic team. You Should Not Apply If: You are looking for a traditional corporate 9 to 5 job. You engage in office politics or gossip. You want a slow-paced role with no growth. You do not strive to be world-class at what you do. #LI-Remote

AI Analytics Intern Company Overview: Branding Pioneers, located at 750 Udyog Vihar, Phase 5, Gurgaon, is a renowned digital marketing agency specializing in tailored online marketing solutions, with a significant emphasis on the healthcare sector. Location: Gurgaon, Haryana Duration: 3-6 months About Branding Pioneers: Branding Pioneers is a premier digital marketing agency specializing in healthcare marketing. Our comprehensive services include SEO, social media marketing, content marketing, and influencer collaborations, all aimed at enhancing our clients' online presence and engagement. brandingpioneers.com Role Overview: As an AI Analytics Intern, you will work closely with our Data Science and AI teams to extract insights from complex datasets, build predictive models, and support data-driven decision-making across the organization. Key Responsibilities: Assist in collecting, cleaning, and organizing large datasets from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Develop and test predictive models using machine learning algorithms. Use data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to present analytical findings. Interpret data and communicate insights to technical and non-technical stakeholders. Support the team in developing AI tools, dashboards, and reports. Collaborate on A/B testing and optimization initiatives. Document processes, models, and results for knowledge sharing. Qualifications: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong foundation in statistics, data analysis, and machine learning. Experience with Python (NumPy, Pandas, Scikit-learn), R, or SQL. Familiarity with visualization tools like Power BI, Tableau, or libraries like Plotly. Understanding of AI/ML concepts and data modeling techniques. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain: Hands-on experience working with AI and analytics projects in a collaborative environment. Exposure to real business challenges and how AI-driven insights solve them. Mentorship from experienced AI and Data professionals. Opportunity to contribute to impactful projects with potential for a full-time offer. Job Type: Internship Contract length: 6 months Pay: 0 - 10 k per month Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have in AI Analytics ? Location: Gurgaon, Haryana (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline :1 August 2025 Expected Start Date :7 August 2025 Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Gurugram, Haryana (Preferred) Shift availability: Day Shift (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 01/08/2025 Expected Start Date: 07/08/2025

We are looking for a highly motivated SDET to join our team and ensure the quality and reliability of applications that incorporate AI/ML components . This role demands strong skills in automated testing, using scripting like Python, TypeScript , and hands-on experience with cloud infrastructure (preferably AWS) . Exposure with solutions built using AI/ML/GenAI is a key advantage. Duties & Responsibilities Design and implement automated test suites for web and backend systems using any scripting language, preferably python or typescript. Expert in developing AI/ML solutions using python Work closely with development, ML, and DevOps teams to test features powered by AI/ML models. Validate ML model predictions, data inputs/outputs, and model integration with application logic. Build and maintain test infrastructure on AWS, including test environments, CI/CD pipelines, and test execution in cloud-based containers. Participate in code reviews and pair programming for quality gatekeeping. Skills Required 5–8 years of experience in a Development or QE Automation or SDET role. Strong hands-on experience using AI/ML models and python or typescript for test automation. Strong experience in prompt engineering Experience working in AWS environments, including EC2, S3, Lambda, or CloudWatch. Experience working with AWS Bedrock, Claud LLM or SLM’s Familiarity with AI/ML model integration and understanding of the basics of model behavior, metrics, and quality concerns. Experience with REST API testing, JSON, and HTTP protocols. Working knowledge of CI/CD pipelines (e.g., GitHub Actions, Jenkins, CodePipeline). Understanding of software testing principles and test-driven development. Excellent communication and collaboration skills.

Where Data Does More. Join the Snowflake team. At the forefront of the data revolution, Snowflake is building the world’s greatest data and applications platform. Our ‘get it done’ culture fosters innovation, impact, and collaboration. We are rapidly expanding our partner Go-To-Market initiatives with System Integrators, Cloud Service Providers, and Data Cloud Partners, who are crucial in helping customers leverage the Snowflake AI Data Cloud. We seek a self-driven individual with excellent English verbal and written communication skills to grow these partnerships, engaging both local and global teams. One of the unique benefits of Snowflake’s architecture is the ability to securely share data, applications and solutions with other Snowflake accounts without creating a copy of the data. The Snowflake Data Cloud builds on our secure data sharing functionality to be the ‘App Store’ for data, enabling providers and consumers to publish/discover and monetize data, applications and solutions. Providers to the Snowflake Marketplace use Data Sharing as the means to deliver their data or service, replacing traditional delivery methods such as files and APIs. Data Sharing and the Marketplace play a key strategic role in our Data Cloud vision and drive the network effect of the Data Cloud! Success in this position requires the candidate to be a technical advisor by aligning with key programs and educating/upskilling partners on these key product features. The candidate will present skills to both technical and executive audiences, whether it's white boarding or using presentations and demos to build mind share among Snowflake Data Cloud and SI Partners in India. We are looking for a technical member who understands the data and applications partner ecosystem as well as how to grow and manage content partnerships. In addition to technically onboarding and enabling partners, you will be an important guide in the creation of the Go-to-Market for new partners. This position will be based in Mumbai and occasional travel to partner sites or industry events within India may be required. As A Partner Solution Engineer, You Will: Technically on board and enable partners to re-platform their Data and AI applications onto the Snowflake AI Data Cloud. Collaborate with partners to develop Snowflake solutions in customer engagements. You will be working with our partners to create assets and demos, build hands-on POCs and pitch Snowflake solutions. Help Solution Providers/Practice Leads with the technical strategies that enables them to sell their offerings on Snowflake Keeping Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits Run technical enablement programs to provide best practices, and solution design workshops to help Partners create effective solutions. Drive strategic engagements by quickly grasping new concepts and articulating their business value. Showcase the impact of Snowflake through compelling customer success stories and case studies. Strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services Conversations with other technologists, providing presentations at the C-level. Preferred skill sets and experiences: Have a total of 10+ years of relevant experience. Experience working with Tech Partners, ISVs and System Integrators (SIs) in India. Develop data domain thought leadership within the partner community. Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community based in India. Presales or hands-on experience with Data Warehouse, Data Lake or Lakehouse platform. Presales or hands-on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems. Experience with our partner integration ecosystem like Alation, FiveTran, Informatica, dbtCloud etc are plus. Have hands-on experience and strong knowledge of Docker and how to containerize Python-based applications. Have knowledge of Container networking and Kubernetes. Have working knowledge of and integration with API’s Have proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops Presales or hands-on experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc. Experience in the AI/ML domain is a plus. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

About Us Zapcom is a global Product Engineering and Technology Services company, specializing in bespoke, customer-centric solutions across industries like BFSI, e-commerce, retail, travel, transportation, and hospitality. Headquartered in the US, with a presence in India, Europe, Canada, and MENA, we excel in transforming ideas into tangible outcomes using AI, ML, Cloud solutions, and full-stack development. At Zapcom, we value accountability, ownership, and equality, empowering you to excel. We listen to your aspirations and provide the support needed to achieve them. Our diverse, collaborative culture ensures every voice is heard, driving innovation and business value. With global opportunities and expansion plans, now is the perfect time to join our team. Work on impactful projects that shape the future. Apply today and be part of something extraordinary! We are seeking a dynamic and strategic Director Of Finance to join our executive team of Zapcom Group, Inc. The Finance Leader will play a critical role in driving the financial strategy of the organization, ensuring sustainable growth, and enhancing overall financial performance. This position will involve overseeing all financial operations, including budgeting, forecasting, financial reporting, and compliance. The ideal candidate should possess strong leadership skills, a deep understanding of financial markets, fund-raising, M&A’s and the ability to communicate effectively with stakeholders at all levels, with a particular focus on managing and scaling our global offices. The Leader will work closely with the executive leadership team to drive the organization’s financial planning, enhance operational performance, and support expansion strategies across multiple regions. This role requires a dynamic, high-energy individual who thrives in a global, complex, multi-national setting and possesses a strong background in global financial management, risk assessment, and regulatory compliance Strategic Financial Leadership Develop and lead the global financial strategy, ensuring alignment with the company’s overall mission and growth objectives. Oversee the financial planning and analysis function to drive data-driven decision-making and long-term planning. Collaborate with the CEO and other C-suite executives to influence and implement the organization’s strategic goals. Global Operations & Financial Management Manage all aspects of finance for international offices, including budgeting, forecasting, tax planning, and audit processes. Establish and optimize robust financial processes to support multi-region operations, ensuring compliance with country-specific regulations. Provide hands-on leadership and oversight in areas of cost management, revenue forecasting, and capital allocation to maximize growth. Risk Management & Compliance Lead risk assessment and mitigation strategies, particularly in foreign currency management, tax compliance, and regional operational risks. Ensure rigorous financial controls and reporting standards in compliance with international accounting standards and practices (GAAP, IFRS). Work closely with legal and compliance teams to manage financial risks related to cross-border transactions and global expansion. Financial Reporting & Stakeholder Relations Prepare and present financial and operational reports to the CEO, Board of Directors, investors, and other stakeholders. Lead investor relations and communicate financial performance, growth plans, and company value propositions. Oversee internal and external audits and manage relationships with financial institutions and regulatory bodies globally. Team Leadership & Development Build, lead, and mentor a high-performing global finance team, fostering a culture of excellence and accountability. Drive continuous improvement and development of finance team members, providing coaching and growth opportunities. Requirements Education: Bachelor’s degree in finance, Accounting, or a related field; an MBA or equivalent advanced degree preferred. CPA, CFA, or other relevant certifications a plus. Experience: Minimum of 10 + years of financial management experience, with at least 5 years in a senior leadership role overseeing global or multi-region operations. Industry Knowledge: Demonstrated expertise in international finance, financial planning, and operations, heading global operations ideally in a complex, high-growth, and global environment. Skills: Strong financial modelling, analysis, and problem-solving skills. Deep understanding of global financial regulations, tax policies, and compliance requirements. Excellent communication, presentation, and interpersonal skills. Ability to manage and influence across diverse cultures and geographies. Key Competencies Strategic and analytical mindset, with a hands-on approach to financial and operational problem-solving. Strong leadership presence and ability to foster cross-functional collaboration. Proven ability to manage financial complexities in a dynamic, fast-paced, and high-growth global organization. Must have worked as a CA in audit firms at initial stage of career . Why Join Us? Zapcom Group Inc is a decade old global product engineering and technology solutions company, with rapid growth plans for the next 4-5 years. This role offers an exciting opportunity to be part of a growth state global tech company, driving critical financial and operational strategies and execution that will shape the future of our organization across multiple continents. An excellent Total Comp (inc equity) with industry competitive benefits offered.

Overview PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics, and new product development. PepsiCo’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. What PepsiCo Data Management and Operations does: Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company. Responsible for day-to-day data collection, transportation, maintenance/curation, and access to the PepsiCo corporate data asset Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders. Increase awareness about available data and democratize access to it across the company. As a data engineer, you will be the key technical expert building PepsiCo's data products to drive a strong vision. You'll be empowered to create data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help developing very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Responsibilities Act as a subject matter expert across different digital projects. Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. Responsible for implementing best practices around systems integration, security, performance, and data management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to “productionalize” data science models. Define and manage SLA’s for data products and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 4+ years of overall technology experience that includes at least 3+ years of hands-on software development, data engineering, and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 3+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.). 2+ years in cloud data engineering experience in Azure. Fluent with Azure cloud services. Azure Certification is a plus. Experience in Azure Log Analytics Experience with integration of multi cloud services with on-premises technologies. Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or Snowflake. Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus. Experience with version control systems like Github and deployment & CI tools. Working knowledge of agile development, including DevOps and DataOps concepts. B Tech/BA/BS in Computer Science, Math, Physics, or other technical fields. Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals.

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Gartner is seeking a talented and passionate MLOps Engineer to join our growing team. In this role, you will be responsible for building Python and Spark-based ML solutions that ensure the reliability and efficiency of our machine learning systems in production. You will collaborate closely with data scientists to operationalize existing models and optimize our ML workflows. Your expertise in Python, Spark, model inferencing, and AWS services will be crucial in driving our data-driven initiatives. What you’ll do: Develop ML inferencing and data pipelines with AWS tools (S3, EMR, Glue, Athena). Python API development using Frameworks like FASTAPI and DJANGO Deploy and optimize ML models on SageMaker and EKS Implement IaC with Terraform and CI/CD for seamless deployments. Ensure quality, scalability and performance of API’s. Collaborate with product manager, data scientists and other engineers for smooth operations. Communicate technical insights clearly and support production troubleshooting when needed. What you’ll need: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Must have: 0-2 years of experience building data and MLOPS pipelines using Python and Spark. Strong proficiency in Python. Exposure to Spark is good to have. Hands-on experience Restful development using Python frameworks like Fast API and Django Experience with Docker and Kubernetes (EKS) or Sagemaker. Experience with CloudFormation or Terraform for deploying and managing AWS resources. Strong problem-solving and analytical skills. Ability to work effectively within a agile environment. Who you are: Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success – Takes responsibility for successful delivery of the solutions. Strong desire to improve upon their skills in software testing and technologies Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:101728 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Application Question(s): What is your Native & Current Location? * What is your Highest Qualification? Experience: AI & ML: 2 years (Required) Work Location: In person

Company: Chicmic Studios Job Role: Python Developer Experience: 2+ Years Job Description: We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with experience in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF) and a solid understanding of machine learning concepts and their practical applications are essential. Key Responsibilities: Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS. Develop and maintain APIs for AI/ML models and integrate them into existing systems. Create and deploy scalable AI and ML models using Python. Ensure the scalability, performance, and reliability of applications. Write clean, maintainable, and efficient code following best practices. Perform code reviews and provide constructive feedback to peers. Troubleshoot and debug applications, identifying and fixing issues in a timely manner. Stay up-to-date with the latest industry trends and technologies to ensure our applications remain current and competitive. Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Cloud Formation. Strong knowledge of Django Rest Framework (DRF) for building APIs. Experience with machine learning libraries and frameworks, such as scikit-learn, Tensor Flow, or PyTorch. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab Job Type: Full-time Application Question(s): What is your Native & Current Location? * What is your Highest Qualification? Experience: Python: 2 years (Required) Work Location: In person

Job Title: AI/ML Engineer Location: Mohali Phase 8b Experience - 2 - 4 Years Job Summary: We are seeking a skilled AI/ML Engineer to develop and implement machine learning models and AI solutions. You will work with large datasets, design intelligent systems, and contribute to building scalable AI products. Key Responsibilities: Design, train, and deploy machine learning models. Collaborate with data scientists, engineers, and product teams. Optimize model performance and ensure scalability. Work with frameworks like TensorFlow, PyTorch, or Scikit-learn. Required Skills: Strong understanding of ML algorithms, data preprocessing, and model evaluation. Proficient in Python, and experience with ML libraries. Experience with cloud platforms (AWS, GCP, or Azure) is a plus. Bachelor's or Master’s in Computer Science, AI, or related field. Nice to Have: Experience with NLP, computer vision, or deep learning. Familiarity with MLOps and model deployment pipelines. Contact us @ HR@base2brand.com /7833075330 Job Types: Full-time, Permanent Work Location: In person Speak with the employer +91 07833075330

Job Title: Python Developer – AI/ML Focus About the Role: We are looking for a passionate and skilled Python Developer with a keen interest in Artificial Intelligence (AI) and Machine Learning (ML) technologies. You will be responsible for developing robust web applications, deploying scalable AI/ML models, and integrating modern data solutions to solve real-world problems. This role is ideal for professionals who are eager to work at the intersection of software development and intelligent systems. Key Responsibilities: Design, develop, and maintain web applications using Python frameworks such as Django , Flask , and FastAPI . Build, train, and deploy machine learning models using TensorFlow , PyTorch , and other AI/ML frameworks. Apply data analysis and visualization techniques using NumPy , Pandas , Matplotlib , and Seaborn . Develop RESTful APIs and microservices to support AI-driven applications. Utilize LangChain , LlamaIndex , Vector DBs (e.g., FAISS, Pinecone) for building LLM-based data applications. Perform web scraping using BeautifulSoup , Scrapy , and manage structured data pipelines. Work with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases to store, retrieve, and manage data securely. Integrate applications with cloud platforms like AWS , Azure , or GCP for seamless deployment and scaling. Collaborate with data scientists, DevOps engineers, and other cross-functional teams to deliver high-impact solutions. Stay up to date with advancements in the Python ecosystem , AI/ML models , and OpenAI technologies . Required Skills & Qualifications: Bachelor’s degree in Computer Science , Engineering , or a related field. 1–3 years of experience in Python programming and backend web development. Proficiency in Django , Flask , and FastAPI . Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch. Familiarity with LLMs , LangChain , LlamaIndex , and vector databases is a strong plus. Practical knowledge of data analysis libraries : NumPy, Pandas, Matplotlib. Understanding of API development , HTTP request handling , and web scraping techniques. Experience with cloud deployment on AWS , Azure , or Google Cloud Platform . Working knowledge of DevOps tools : Docker, Kubernetes, Jenkins (preferred). Proficient in version control systems like Git and GitHub. Basic frontend skills in HTML , CSS , and JavaScript . Strong communication skills and the ability to work in a collaborative team environment. Job Type: Full-time Pay: ₹16,478.20 - ₹50,000.00 per month Benefits: Paid time off Provident Fund Work from home Work Location: In person

Overview The Information Security Engineer will provide technical support and execution on a range of critical security products, serve as a point of contact for all security product deployment, configuration, upgrades, related events, serve as a mentor to IT staff, automate and work to help standardize and improve processes and procedures. Responsibilities Works in support of the Senior Information Security Engineer enhancing the security direction for the organization including systems, networks, user services, and vendor development efforts Installs, configures, manages, and maintains mission-critical enterprise applications such as endpoint, software delivery, patching, log management and other technical controls. Provides technical support for day-to-day security operations, change management and business continuity programs. Troubleshoots security systems and related issues. Assists with complex projects and assumes ongoing support of security operations Conduct network and system tests via simulation or other means to highlight and find any weaknesses that may be exploited Design, implement, support, and evaluate security-focused tools and services including project leadership roles Design, implement, support, and evaluate vulnerably management tools and services Provide security tool integration and automation support Assists in defining security requirements and review of systems to determine if they have been designed to comply with established security standards. Develop new standards as necessary. Design and develop automation scripts and integrations using Python or PowerShell to monitor the health of endpoint security tools and remediate coverage issues proactively. Utilize REST APIs and JSON to automate, integrate, and enrich data across security tools for real-time monitoring and incident response. Apply AI/ML models to use cases that support automated remediation of health and coverage issues in endpoint security tooling Participate in security compliance efforts (e.g., PCI DSS, SOX) Participate in incident handling Other related duties to support the information security function Qualifications Six or more years of experience in the design and implementation of Endpoint Security products such as CrowdStrike, Symantec Endpoint Protection (SEP), and Microsoft Defender for Endpoint Demonstrated effectiveness working across multiple business units to achieve results Significant technical expertise in two or more of the following areas Cloud Security Endpoint security Data Security SIEM

Fleet Excellence Manager Mandate -3 About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 600+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 3 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed everyday, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Roles and Responsibilities:- Managing a team of 500-850 Delivery Executives ( DE) in a zone(s) directly on a daily basis DE efficiency assigned at an individual level. Coach DEs via field training at an individual level for better delivery experience. Conduct regular field audits for better compliance among DEs Manage and control voluntary attrition and control absconders by conducting regular engagement activities. Address DE level issues/grievances by escalating to relevant teams like governance, ROC etc. Mitigate Strikes with minimal ground disruption. Conduct huddles weekly including GTM of new products/launches Provide ground intelligence on cost , speed and new launches. Drive reactivations and attritions through calling and engagement with DEs Drive Referral by engaging with existing DE’s and influencing them to refer more DEs. Desired Skills:- Prior experience in fleet management is preferable. Should have a bike and be willing to travel within the city. Completes tasks independently with minimal follow-ups Should be available to work on Weekends. Knowledge of supervisory techniques to manage, motivate and train blue collared workers. Should know local geographical area knowledge and should be able to converse in local languages The candidate should have an entrepreneurial attitude / should be a go-getter Must have attention to detail and critically think through to resolve problems. Must have customer service skills and be able to maintain a consistent, high level of service. Closing note We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law

Senior / Fleet Excellence Manager Mandate -3 About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 600+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 3 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed everyday, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Roles and Responsibilities:- Managing a team of 500-850 Delivery Executives ( DE) in a zone(s) directly on a daily basis DE efficiency assigned at an individual level. Coach DEs via field training at an individual level for better delivery experience. Conduct regular field audits for better compliance among DEs Manage and control voluntary attrition and control absconders by conducting regular engagement activities. Address DE level issues/grievances by escalating to relevant teams like governance, ROC etc. Mitigate Strikes with minimal ground disruption. Conduct huddles weekly including GTM of new products/launches Provide ground intelligence on cost , speed and new launches. Drive reactivations and attritions through calling and engagement with DEs Drive Referral by engaging with existing DE’s and influencing them to refer more DEs. Desired Skills:- Prior experience in fleet management is preferable. Should have a bike and be willing to travel within the city. Completes tasks independently with minimal follow-ups Should be available to work on Weekends. Knowledge of supervisory techniques to manage, motivate and train blue collared workers. Should know local geographical area knowledge and should be able to converse in local languages The candidate should have an entrepreneurial attitude / should be a go-getter Must have attention to detail and critically think through to resolve problems. Must have customer service skills and be able to maintain a consistent, high level of service. Closing note We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Location: [Hyderabad/Hybrid 4-1] Department: Technology/Engineering Reports To: CTO & CEO Job Description: We are seeking an experienced and highly skilled Senior System/Application Architect to design, implement, and oversee critical enterprise-level systems and applications. The ideal candidate will have deep experience in modern application deployment practices, cloud platforms, and infrastructure management, with a keen eye towards emerging AI technologies as a distinct advantage. Key Responsibilities: Application Architecture: Lead the design and architecture of scalable, resilient, and maintainable solutions for complex applications, aligning with business needs and technology strategy. Application Deployment: Architect and optimize robust CI/CD pipelines ensuring seamless deployment, version control, and rollback capabilities; promote automation throughout the deployment lifecycle. Cloud Management: Architect and manage cloud-native applications on AWS, Azure, or GCP, leveraging best practices for security, scalability, and cost optimization. Infrastructure Oversight: Design and manage infrastructure using Infrastructure as Code (IaC) frameworks (e.g., Terraform, CloudFormation); guide decisions on containerization, orchestration (Kubernetes, Docker), networking, and storage. System Integration: Develop integration strategies for legacy and modern systems, ensuring data consistency, security, and high performance. AI & Advanced Technologies: (Bonus) Collaborate on AI and ML-driven solutions—incorporate AI tools or frameworks into system design when relevant. Governance & Best Practices: Define and educate on architectural standards, governance, and documentation; conduct architecture reviews and technical mentoring. Performance & Security: Recommend strategies to optimize system performance, scalability, and security in production environments. Required Skills & Experience: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in software engineering/architecture including significant hands-on deployment and infrastructure work. Deep experience with at least one major cloud provider (AWS, Azure); certifications a plus. Extensive experience with application deployment strategies and CI/CD processes (Jenkins, GitLab CI, Github Actions etc.). Strong knowledge of containerization and orchestration (Docker, Kubernetes). Solid background in infrastructure management using Terraform, Ansible, or similar tools. Demonstrated ability architecting mission-critical systems with high security and reliability demands. Familiarity with AI/ML concepts, frameworks or deployment patterns (TensorFlow, PyTorch, model serving) is a strong plus. Excellent communication, presentation, and documentation skills. Preferred Qualifications: Experience with hybrid/multi-cloud and on-premise solutions. Exposure to DevSecOps and automated security practices. Knowledge of microservices, event-driven architectures, and API management. Experience working in Agile environments and mentoring junior engineers

Job Location: - Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST Exp:- 3-10 y Requirements - Bachelor’s degree in computer science, Data Science, or related field - Experience in 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)