2099 Reinforcement Jobs - Page 50

Job Description Summary Based at GE Vernova Power Conversion Chennai site the Services Specialist role is an exciting opportunity for an action-oriented individual with deep technical foundation of Power Conversion equipment. You will be able to leverage your technical knowledge to directly support customer through commissioning, maintaining, servicing of Power Conversion’s state of the art products and solutions across the globe, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. The job will require frequent traveling up to 100 % to various client sites in India and globally. Highly technically challenging career role to work on the state-of-the-art high performance and high accuracy controllers drive customer fulfillment, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. Our team of dedicated experts needs reinforcement from young or experienced colleagues. So if you find electric drive technology and the associated processes interesting, can get excited about it, and are a thoroughbred technician/engineer, then we are looking for you! Great performance needs Great Engineers! Job Description Essential Responsibilities: The Services Specialist develops practical and innovative ways to identify and meet goals. In this role you are responsible for work which is defined in scope, utilize your understanding and experience to execute business objectives, and have the ability to effect short-term and some long-term business goals. Commissioning of extensive systems consisting of power controllers, frequency converters, load commutated drives, excitation systems, electrical machines, and load machines or production plants, such as large converters for pumped storage power plants, gas turbine power plants, and much more. Commissioning of the Medium Voltage and Low Voltage variable speed drives with Medium Voltage Switchgear in business segments such as Power Plants, Metals, Marine, Oil & Gas, Material handling, etc., Show-up individuality with less supervision in commissioning and service activities in Power Equipment. Should communicate clearly and follow the instructions from Site Lead or Site manager and perform the task with at most quality. Interact and assistance to the customer, user, and other GE Vernova field personnel in the operation, inspection, maintenance, and repair of assigned product lines. Perform on-site installation of systems and equipment and ongoing preventive maintenance, repair and calibration after installation Perform unplanned/corrective maintenance and complete all necessary technical and business documentation on time and accurate. Comply with the integrity and compliance guidelines. Record keeping of day-to-day activities in digital forms. Provide technical assistance to customer representatives regarding installation, operation, calibration, repair and maintenance at customer's sites Respond to requests for emergency repairs and services to troublesome equipment Knowledge to troubleshoot and provide routine maintenance checkout for wide range of equipment vintage Maintain strong safety mindset to assure the executed work reflects the technical requirements within GE Vernova safety standards. Ensure all work is performed in accordance with the organization’s EHS and associated policies/procedures Ensure customer satisfaction with maintenance solutions, according to the metrics of service, terms, performance, and quality. A job at this level requires good interpersonal skills. For customer facing roles, develops strong customer relationships and serves as the interface between customer and GE Vernova. Explains technical information to others. Assist customer with improving reliability and reducing cost of ownership Provide single point of contact to the customer, customer team, and all other GE Vernova stakeholders Assist the factory with data collection and timely reporting to facilitate fleet performance analysis, including marketing intelligence and sales opportunities for services, and support Assist customer with spare parts ordering & issues resolution Qualifications/Requirements Masters / Bachelors / Diploma Degree from accredited college / university in Electrical Engineering or allied Engineering. 2 – 7 years of relevant experience Should have process knowledge of Metal / Marine / Oil & Gas / Test Bench / Material Handling / Power Plant Knowledge in Power Electronics, High Voltage Equipment & PLC Desired Characteristics Work experience on Power converters, generators, switchboards, AVR, excitation systems and MV/LV drives Strong oral and written communication skills Strong interpersonal and leadership skills Ability to work independently. Strong problem-solving skills Strong attention to detail Proactive self-starter and change agent & ability to work under stress environment Cross functional, ability to work on matrix environment, and international team experience Effectively communicate across all organizational levels, departments, and functions Demonstrated technical aptitude and business acumen. International experience Additional Information Relocation Assistance Provided: Yes This is a remote position Show more Show less

Job Title: Python AI/ML Developer Company: Weavers Web Solutions Private Limited Location: Kolkata Job Type: Full-Time Experience Level: 4 Years About Weavers Web Solutions Private Limited: Weavers Web Solutions is a leading technology-driven company specializing in providing innovative web and AI-driven solutions. We focus on delivering transformative products and services, leveraging emerging technologies like Artificial Intelligence, Machine Learning, and Data Science. Our team thrives on collaboration, problem-solving, and delivering exceptional results for our clients. Position Overview: We are looking for a highly skilled and experienced Python AI/ML Developer to join our growing team. You will be working on cutting-edge projects in AI, machine learning, and data analytics, helping us build intelligent systems that drive business success. The ideal candidate will have a strong background in Python programming, machine learning algorithms, data analysis, and model deployment. Key Responsibilities: Design, implement, and maintain scalable AI/ML models using Python. Collaborate with cross-functional teams to define project goals, data requirements, and deliverables. Develop machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize existing ML models for better performance, scalability, and efficiency. Stay updated with the latest trends in AI/ML technologies and apply them to real-world projects. Use libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and others to build models. Work with big data platforms and tools like Hadoop, Spark, and cloud-based services. Document solutions, processes, and best practices for team collaboration and knowledge sharing. Conduct data analysis, visualization, and reporting for business insights. Ensure model reproducibility and track experiment results using version control systems like Git. Provide technical leadership and mentoring to junior developers on AI/ML best practices. Required Skills and Qualifications: Experience: Minimum of 4 years of professional experience as an AI/ML Developer or Data Scientist. Programming Skills: Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch. Machine Learning Algorithms: In-depth understanding of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning, etc. Model Development: Experience in building and deploying AI/ML models in production environments. Data Handling: Solid understanding of data preprocessing, feature extraction, and data normalization. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Version Control: Proficiency with Git or similar version control systems. Problem Solving: Strong analytical and problem-solving skills with a passion for working with large datasets. Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Why Join Us? Innovation-Driven Culture: Work with a team of passionate professionals who are dedicated to pushing the boundaries of technology. Growth Opportunities: We offer a clear career progression path, along with opportunities to enhance your skills through training and exposure to the latest technologies. Collaborative Environment: Enjoy a collaborative, supportive, and flexible work culture. Competitive Compensation: We offer a competitive salary, benefits, and performance-based incentives. Work-Life Balance: Flexible working hours and the possibility of remote work. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Health insurance Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

We’re Hiring: Associate Pursuit Marketing Manager. What You’ll Do: B2B Marketing Craft compelling product positioning and messaging, Drive go-to-market strategies for new launches, Collaborate with Product, Sales, and Customer Success teams, Conduct market research and competitive analysis, Create content that converts—web, email, social, and more...... 💡 What You Bring: 6 + years of experience in pursuit marketing (preferably in tech/SaaS/B2b Marketing) A sharp understanding of customer personas and buyer journeys Exceptional communication and storytelling skills Experience with launch planning, sales enablement, and campaign execution About the Role Associate Pursuit Marketing Manager, will contribute to Finacle’s pipeline growth through their efforts supporting the various active deal pursuits globally. The Associate Marketing Manager - Pursuit Marketing’s responsibility will be to collaborate with pursuit teams to deliver specific value-added interventions around Content, Design, and Experiential elements, to drive deal pursuit success and maximize the probability to win every deal. She/He will also contribute to the Pursuit Marketing Centre of Excellence by enhancing the quality and breadth of the reusable content pieces on an ongoing basis. Company : www.finacle.com for more details Key Responsibilities Finacle Pursuit Marketing team partners with global field teams to influence deal outcomes and drive growth. Our mission is to sharpen Finacle’s value proposition across three key pillars - Content, Design, & Experience - ensuring every prospect interaction is strategically aligned to maximize engagement and win rates. Key responsibilities of the role include: Content: Craft Winning Propositions Draft compelling Win Themes and impactful storytelling, to develop tailored, persuasive content for RFX responses, presentations, custom collaterals, campaigns, etc - clearly articulating Finacle’s value aligned to client needs, solution areas, and geographies. Design: Elevate Our Identity Drive design excellence and brand consistency across all touchpoints in the pursuit with compelling content layout and visual design to create a strong, differentiated deal pursuit artefacts and assets. Experience: Deliver Memorable Engagements Curate exclusive, client-centric experiences (both in-situ and ex-situ), from personalizing campus visits to seamless virtual and on-site interactions, ensuring reinforcement of the Infosys Finacle brand as premium and client focused. Disclaimer : EdgeVerve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you encounter such scams, please report them immediately. Show more Show less

Job Description Responsibilities - will include, but not be limited to: Primarily working on Revit/OBD to undertake drawing/modelling and concrete reinforcement detailing / scheduling for civil structures. You will also be expected to work within other engineering disciplines if necessary. Producing high quality and complex 3D models and drawings using Revit/OBD. Organising and advising on programming of work. Working closely with Design Team members, senior and junior Mott MacDonald staff. Adding value to all projects for the benefit of Mott MacDonald. Working within a Common Data Environment (ProjectWise). Candidate Specification Hold a Professional Certificate or Diploma in Civil / Structural. Minimum 15+ years of eperience Proficiency in Revit/OBD software. Should have good working experience in Bridge structure. Excellent communication skills both written and verbal. We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Noida, UP, IN Contract Type: Permanent Work Pattern: Full Time Market: Transport Discipline: Bridges Job Ref: 9410 Recruiter Contact: Naveen Gill Show more Show less

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-effective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers. Experience with large language models (GPT-3,4, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs. Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI! Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law. Show more Show less

Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your role and responsibilities Research Scientist position at IBM India Research Lab is a challenging, dynamic and highly innovative role, where you will be responsible for coming up with new innovative ideas, developing solutions working as a team, building prototypes, publishing research papers and demonstrating the value of your ideas in an enterprise setting. Some of our current areas of work where we are actively looking for top researchers are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Innovative use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, and creating specialized pipelines for various tasks including effective LLM-generated data pipelines. Required education Bachelor's Degree Required technical and professional expertise You Should Have One Or More Of The Following A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the following: Python, web development technologies Growth mindset and a pragmatic attitude Preferred Technical And Professional Experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities About Business Unit IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? About Ibm IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Other Relevant Job Details When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application. Job Title Research Scientist Job ID 25934 City / Township / Village BANGALORE State / Province Karnataka Country India Work arrangement Hybrid Area of work Research Employment type Regular Position type Professional Travel required No Travel Company (0063) IBM India Private Limited Shift General (daytime) Is this role a commissionable/sales incentive based position? No Apply now Show more Show less

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders Show more Show less

About Intelligent Consulting Engineers (ICE): Founded in 2015, Intelligent Consulting Engineers (ICE) is an independent BIM and Engineering consultancy (MNC) based in Finland, India, North America, and Estonia delivering services all over the world. Our geographic footprint stretches across more than 15 countries in Europe, North America, the Middle East, and Asia with a collective experience of more than 500 projects. Our teams excels in engineering experiences through Building Information Modelling (BIM), continually redefining industry standards. Committed to a collaborative and growth-oriented workplace, ICE offers opportunities for professionals to contribute to pioneering projects, influence the future of construction, and advance their careers within a company dedicated to excellence and technological leadership. Website Link: https://icengg.com/ Job Title: Precast AutoCAD Detailer Job Location- Chennai, Tamil Nadu No of Open Positions - 4 Working Days - Monday to Friday(5 Days a week) Opportunity to work on International Projects. Job Summary: We are looking for a skilled Precast AutoCAD Detailer to create accurate shop drawings for precast concrete elements, ensuring compliance with design specifications and industry standards. You will collaborate with engineers and project managers to produce detailed reinforcement and connection drawings for precast structures. Key Responsibilities: Prepare detailed AutoCAD drawings for precast concrete elements (walls, beams, columns, etc.). Ensure drawings meet project specifications, codes, and quality standards. Work closely with engineers to address design and fabrication issues. Maintain and update project documentation. Collaborate with project teams to resolve drawing discrepancies. Requirements: Experience in AutoCAD detailing, preferably in precast concrete. Knowledge of precast concrete systems, reinforcement, and connections. Strong attention to detail and ability to meet deadlines. Familiarity with structural drawings and industry standards. Preferred Skills: Hands on experience in AutoCAD. Knowledge of Revit and Tekla is a plus. All applicants should be professional and dedicated with a proven level of self-management to be able to deliver their own duties. They should also be confident, responsible, and efficient in their working tasks. Show more Show less

About Company: Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Client —based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Java Consultant with Three.js & P5.js Experience Location: Remote Client: Turing Experience: 4+ yrs Job Type : Contract to hire . Notice Period:- Immediate joiners Only. Note: Candidate should be comfortable to work for US Shifts/Night Shifts. Interview Mode : Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion). Roles and Responsibilities: We are seeking a skilled Software Engineer with strong frontend expertise to support our AI engineering and model evaluation workflows. This role is focused on building visualization tools and interfaces that enable the training and assessment of large language models (LLMs) and foundation models—not typical product features. The ideal candidate has solid JavaScript experience, especially with creative and interactive graphics libraries such as Three.js and P5.js, to help construct data- and model-driven frontends. You’ll work closely with researchers and backend teams to build tools that make complex AI behavior visible, debuggable, and intuitive. What does day-to-day look like: Build and maintain tools that support the training and evaluation of LLMs and foundation models Implement and test reusable software components, interfaces, and utilities Design and build 2D and 3D interactive components using P5.js and Three.js for model inspection and visualization Analyze and improve systems flow and user interactions based on researcher and stakeholder feedback Debug, trace, and resolve production issues with a focus on frontend stability and performance Collaborate with engineers, scientists, and PMs to align tools with experimentation needs Requirements: Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience At least 3+ years of experience as a Software Engineer Proficiency in JavaScript and related technologies (e.g., React, TypeScript) Experience working with Three.js and/or P5.js for interactive 2D/3D projects Ability to independently drive interface development and quickly iterate with minimal guidance Strong debugging and performance tuning skills Excellent English communication skills, written and spoken Preferred Qualifications: Personal or open-source projects demonstrating creative frontend work Familiarity with data-driven applications or interfaces used in ML/AI contexts Experience collaborating with ML engineers or researchers Understanding of visualization patterns for AI metrics, embeddings, or model outputs. Show more Show less

Category: Administration Main location: India, Karnataka, Bangalore Position ID: J0325-1589 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: AI Leader Position: Director Consulting Expert Experience: 13+ yrs Category: IT Infrastructure Main location: Bangalore Position ID: J0325-1589 Employment Type: Full Time Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Job Description: Position Overview: We are seeking an experienced AI Evangelist with 15-20 years of hands-on AI experience to join our team. This individual will play a key role in driving the company's AI initiatives, promoting the use of AI technologies, and influencing both internal and external stakeholders on AI innovations and capabilities. As an AI Evangelist, you will be responsible for translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and helping lead the strategic direction for AI at our organization. Key Responsibilities: AI Advocacy & Evangelism: Promote AI technologies within the company and the broader community by speaking at industry events, conferences, and engaging with industry groups. Act as the face of the organization for AI, building a positive reputation as an AI thought leader. Strategic Guidance: Work closely with executives and senior leadership to define the AI vision, strategy, and roadmap for the organization, ensuring alignment with business objectives and long-term goals. Hands-On AI Expertise: Leverage your hands-on AI experience to architect, develop, and deploy AI-driven solutions that address real-world business challenges. Lead by example in prototyping and proof-of-concept development. Collaboration and Cross-Functional Leadership: Partner with product teams, data scientists, engineers, and other stakeholders to design, build, and implement AI solutions that add tangible value to the organization. AI Community Engagement: Actively contribute to the AI community through publishing articles, whitepapers, and research, while participating in open-source AI initiatives and collaborating with academic institutions. Training & Mentorship: Educate and mentor junior AI professionals within the organization, ensuring the continuous development of AI talent. Conduct workshops and internal training sessions to upskill employees on AI best practices. Innovation & Research: Stay abreast of the latest advancements in AI and machine learning and explore emerging technologies, bringing cutting-edge ideas and concepts to the organization. Client Interaction & Consultations: Engage directly with clients to understand their AI needs and provide customized AI solutions. Work with sales and marketing teams to showcase AI offerings to clients and stakeholders. Must have skills: Experience: 13+ years of hands-on experience in AI, machine learning, deep learning, and related technologies. Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Ph.D. is a plus. Proven Leadership: Significant experience in a senior AI leadership role, with a track record of successfully driving AI initiatives and influencing business strategy. Hands-On Expertise: Expertise in AI algorithms, model development, data processing, and deploying production-grade AI solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Skills: Advanced proficiency in Python, R, or similar programming languages, with experience in AI/ML libraries and tools. Strong Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders. Innovation-Oriented: A strong passion for AI innovation, research, and staying up to date with cutting-edge advancements in the field. Business Acumen: A deep understanding of how AI can drive business value, with a focus on delivering tangible, measurable results. Industry Knowledge: Extensive knowledge of AI trends, technologies, and industry best practices, with experience across multiple domains such as NLP, computer vision, and reinforcement learning. Public Speaking & Presentation Skills: Proven experience in delivering presentations at conferences, webinars, and industry events. Good to have Skills: Experience in AI product management or commercialization of AI solutions. Involvement in AI-related publications, research, or patents. Experience working in AI-related consulting or client-facing roles. Familiarity with cloud-based AI solutions and services (e.g., AWS AI/ML, Azure AI, Google Cloud AI). Behavioral Competencies : Proven experience of delivering process efficiencies and improvements Clear and fluent English (both verbal and written) Ability to build and maintain efficient working relationships with remote teams Demonstrate ability to take ownership of and accountability for relevant products and services Ability to plan, prioritise and complete your own work, whilst remaining a team player Willingness to engage with and work in other technologies Note: This job description is a general outline of the responsibilities and qualifications typically associated with the Virtualization Specialist role. Actual duties and qualifications may vary based on the specific needs of the organization. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Skills: Artificial Intelligence Leadership What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Requisition ID 167664 - Posted 06/19/2025 - Analytics - India - Maharashtra - Mumbai - Colgate-Palmolive - No Travel - Remote Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Job Title : Generative AI Developer Location : Employment Type : Full-Time Job Overview We are seeking a Generative AI Developer with expertise in AI/ML, deep learning, and large language models (LLMs). The ideal candidate will design, develop, and deploy cutting-edge AI-powered applications, leveraging NLP, computer vision, and generative AI frameworks. If you are passionate about AI and want to work on transformative AI solutions, this role is for you! Key Responsibilities Design, build, and optimize Generative AI models for text, image, and multimodal applications. Work with LLMs, transformers, and diffusion models to create innovative AI-powered solutions. Implement and fine-tune models using frameworks like TensorFlow, PyTorch, and Hugging Face. Develop and integrate AI models into scalable cloud-based applications (AWS, Azure, GCP). Research and apply cutting-edge AI techniques to enhance model performance and efficiency. Collaborate with cross-functional teams to deploy AI solutions in real-world applications. Optimize models for efficiency, accuracy, and low latency in production environments. Required Skills & Experience 3+ years of experience in AI/ML development, with a focus on Generative AI. Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Hands-on experience with transformers, LLMs, and generative models (GPT, BERT, Stable Diffusion). Strong understanding of NLP, computer vision, and deep learning architectures. Experience with cloud-based AI services (AWS Sagemaker, Azure AI, Google Vertex AI). Knowledge of MLOps, model deployment, and optimization techniques. Nice To Have Experience with fine-tuning LLMs and prompt engineering. Familiarity with Reinforcement Learning from Human Feedback (RLHF). Exposure to vector databases (FAISS, Pinecone, ChromaDB) for retrieval-augmented generation (RAG). AI certifications (AWS Machine Learning, Google AI, etc.). Why Join Us? Work on state-of-the-art AI innovations. Collaborate with industry-leading AI experts. Opportunities for continuous learning and growth. (ref:hirist.tech) Show more Show less

Assessment and Evaluation: Conduct psychological assessments to identify developmental, emotional, behavioral, or learning difficulties. Use standard tools (IQ tests, adaptive behavior scales, emotional/behavioral checklists) tailored for children with special needs. Individualized Support Planning: Contribute to the development of Individualized Education Programs (IEPs) in collaboration with special educators and therapists. Provide psychological insights and recommendations for goal setting and classroom accommodations. Therapeutic Interventions: Offer one-on-one or group counseling to support students with emotional, behavioral, or social challenges. Use evidence-based methods such as play therapy, behavior therapy, or CBT (adapted for children with disabilities). Behavior Management: Develop and implement behavior management strategies for students with challenging behaviors. Train staff in behavior support techniques and positive reinforcement. Family and Caregiver Support: Offer guidance and counseling to parents and caregivers to help them understand and manage their child’s emotional and behavioral needs. Conduct regular feedback sessions and workshops. Collaboration and Teamwork: Work closely with special educators, speech therapists, occupational therapists, physiotherapists, and administrative staff. Participate in multidisciplinary team meetings to ensure holistic development. Crisis and Emotional Support: Address emotional crises or psychological emergencies that may arise within the school setting. Help children cope with trauma, loss, or adjustment issues. Documentation and Reporting: Maintain confidential case records, assessment reports, and therapy notes. Provide reports for review meetings and school authorities when needed. Training and Awareness: Conduct teacher training sessions on inclusive practices, emotional intelligence, and classroom behavior support. Promote awareness on mental health and developmental disabilities within the school community. Requirements Deep understanding of child development and special needs education Knowledge of developmental disorders (e.g., autism, ADHD, intellectual disability) Empathy, patience, and a non-judgmental attitude Strong communication and interpersonal skills Behavioral observation and intervention planning Crisis management and emotional support skills Team collaboration and family engagement Documentation and report writing Show more Show less

Job Description Location - Hyderabad/Gurgaon Experience - 4-8 Years L2 Application Support Engineer – (Atlas reasoning engine) We At Publicis Sapient, Enable Our Clients To Thrive In Next And To Create Business Value Through Expert Strategies, Customer-centric Experience Design, And World-class Product Engineering. The Future Of Business Is Disruptive, Transformative And Becoming Digital To The Core. In Our 20 + Years In IT, Never Before Have We Seen Such a Dire Need For Transformation In Every Major Industry - From Financial Services To Automotive, Consumer Products, Retail, Energy, And Travel. To Make This Transformative Journey a Reality In These Exciting Times, We Seek Rockstars Who Will Brave it out to go do the next; “what will be” from “what is” Exhibit the optimism that says there is no limit to what we can achieve deeply-skilled, bold, collaborative, flexible Reimagine the way the world works to help businesses improve the daily lives of people and the world. Our people thrive because of the belief that it is both our privilege and responsibility to usher our clients and the world into Next. Our work is fueled by challenging boundaries, multidisciplinary collaboration, highly agile teams, and the power of the newest technologies and platforms. If that’s you, come talk to us! This is the world-class engineering team where you should build your career Job Purpose This position is to provide to “2nd level of support” for all application-level production environment issues, user support queries and requests. Job Responsibilities Below are key role and responsibilities for this position: Interact with L1 and keep run-books and Standard support operational procedures(SOP) up-to-date Perform Ad-hoc support tasks and prepare reports for business Troubleshoot all the new incidents/issues for which knowledge base is not available and escalated by L1 team Resolve the incidents/issues as per agreed SLA Address the service requests as per agreed SLA Follow the escalation process to escalate to L3 team or next level of support as per escalation metric if unable to resolve the issue within agreed time window Prepare the Incident post-mortem / RCA(Root cause analysis) report of incidents and share it with all the stakeholders within agreed timeline Perform the shift handover activities as per agreed SOPs Participate in problem management, change management, knowledge management, even management etc. Update knowledge base with new learnings, changes in resolution steps etc. in timely manner Ensure SLA/KPI (under control of L2 team like incident response time are met and collect/update data of it in required tools Help shift/team lead to prepare to various operational reports required by internal and external stakeholders Contribute to support reusable assets and internal knowledge sharing sessions Work to build-up skills for L3 support level Work on POC of different solutions, tools etc. POC Coordinate with L1 and L3 engineers (as per case requirement) on various issues, incidents, service requests, user queries, various changes in environment, various events etc. Work on automation of manual activities if possible and share the details of automation opportunities with L3 team Personal Attributes Systematic problem-solving approach, coupled with effective communication skills and a sense of drive Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution Should be flexible to work in all shifts Ability to prioritize when under pressure Skill Requirements Must Skills Hands-on experience with Salesforce s Atlas Reasoning Engine . Ability to troubleshoot and support AI agent workflows powered by Atlas, including task orchestration and decision-making logic. Familiarity with System 2 reasoning models, reinforcement learning feedback loops, and graph-based architectures. Experience monitoring and optimizing autonomous agent performance in production environments. Proficiency in analyzing logs and telemetry data from Atlas-powered agents to identify and resolve issues. Understanding of event-driven systems and asynchronous task execution in enterprise AI platforms. Ability to collaborate with AI/ML teams to escalate and resolve complex reasoning or orchestration issues. Exposure to Agentforce or similar AI agent ecosystems is a strong plus Familiarity and working experience on ecommerce projects Working knowledge with ServiceNOW ITSM tool Knowledge of Production Support processes and procedures. Have ability to demonstrate functional and technical architecture knowledge and correlate between the two from past experiences Have good exposure of ITIL Processes like Incident Management, Problem Management, and Knowledge Management etc. Skills Nice to have Skills Good understanding of Accessibility and comfortable using dev tool bar for debugging. Have some exposure of cloud technologies Have understanding of how cloud infrastructure is setup, applications are deployed, various services are setup and used etc. Have ability to understand the technical errors in the application log and understand the solutions provided by L3/Development teams at least at high level Show more Show less

About Highspot Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd. While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets. About The Role In this role, you will be joining the Product Management team reporting to the Senior Director of Product Management. The Product Management function at Highspot is an integral part of the company. You will be jumping into many different projects and features, and will be very hands-on. You will be working very closely with design, user research and engineering to think critically and collaboratively about how to solve complex customer problems. Over time, you will have the opportunity to help shape and grow not just the product, but also the team. We’re looking for someone with expertise in AI to join our high-impact product team focused on transforming how go-to-market teams learn, perform, and grow. In this role, you’ll take ownership of our AI-first product experiences, especially around training, coaching and meeting intelligence. Your mission is to create products that drive measurable seller behavior change—powered by intelligence, grounded in simplicity, and integrated deeply into sellers’ workflows. You'll work with a cross-functional feature team (PM, Design, Engineering, Data Science) and collaborate closely with Product Marketing, Customer Success, and Revenue stakeholders. Our ideal candidate is someone who enjoys understanding a broad set of customer requirements, digging into technical constraints, and using their expertise to deliver an elegantly simple customer experience. This person will benefit from being a skilled communicator, who can drive enterprise-level customer conversations, collaborate effectively with other disciplines, and land proposals with stakeholders. Responsibilities You will work with customers and stakeholders to create a strategic roadmap, prioritize problems, and define requirements, then manage the backlog through the product development process from discovery to general availability. You will become an expert on our software, customer, and our market, as well as be able to identify, prioritize and execute on both tactical and strategic projects. You will collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products. You will dig deep into customer and usage data to identify opportunities and evaluate the success of our efforts. Own the roadmap for AI features related to coaching insights, rep scoring, skill reinforcement, and conversation intelligence. Drive discovery with customers, internal SMEs, and sales leaders to uncover pain points and surface areas where AI can improve productivity, engagement, or skill growth. Work across systems—analytics, content, LMS, and CRM—to unify data into actionable insights. Validate new capabilities with customers using prototypes, mockups, and early betas; measure adoption and iterate quickly. Define and measure key success metrics (e.g., coaching engagement, learning retention, time-to-proficiency). Champion intuitive UX design for multi-modal inputs (text, voice, video) and outputs. Be a thought partner on how to embed AI ethically, explainably, and practically in a high-trust enterprise environment. Required Qualifications 5–8 years of PM experience in B2B SaaS, ideally in sales enablement or learning tech, with a proven ability to ship products in agile environments. 2+ years working with AI/ML teams, including experience in NLP, NLU, or Generative AI applications. Skilled at leading cross-functional teams to deliver high-quality, end-to-end product experiences across complex user scenarios with multiple personas. Strong problem-solver with a track record of turning ambiguous inputs into structured roadmaps and impactful outcomes. Comfortable working with technical teams—able to discuss trade-offs with engineers and collaborate with data scientists on AI strategy. Exceptional communication and stakeholder management skills, with the ability to align executives, sales teams, and designers. Highly detail-oriented and user-obsessed, with a passion for crafting polished, intuitive experiences that drive adoption. Resilient in fast-paced, ambiguous environments, with the ability to prioritize, multitask, and go beyond role boundaries when needed. Desired Qualifications You have experience building products for sales, marketing, or other customer-facing teams. You have experience in B2B SaaS and understand the mechanics and economics of a SaaS business. You have experience building products that leverage machine learning and Generative AI technology. You have a technical degree or equivalent work experience. Background in AI/ML-powered products (e.g., transcription, recommendation systems, chatbots, analytics). Exposure to coaching platforms, LMS, CMS, or conversation intelligence tools. Familiarity with LLMs, RAG architecture, or vector database implementations. Experience working on multi-modal interfaces (voice, video, and text content experiences). Technical degree in Computer Science, Engineering, Data Science, or equivalent experience. Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button. Show more Show less

Position: OCM Change Manager Location: Pan India Experience: 12–15 years Domain: Retail Company Overview HCL Technologies is a global leader in IT services and digital transformation, partnering with enterprises to engineer innovative solutions for the digital era. Our Retail practice helps top retailers worldwide reimagine customer engagement, optimize operations, and accelerate growth through cutting‑edge technology. Role Overview As an OCM (Organizational Change Management) Change Manager in our Retail domain, you will be responsible for planning and executing change management strategies that drive adoption of new processes, technologies, and ways of working. You will partner closely with business leaders, project teams, and HR to ensure seamless transitions and sustained benefits realization across large‑scale retail initiatives. Key Responsibilities • Change Strategy & Planning: Develop comprehensive OCM strategies and roadmaps aligned to project goals, covering stakeholder analysis, communication, training, and resistance management. • Stakeholder Engagement: Identify and map key stakeholders (executive sponsors, business users, support teams); build strong relationships to secure buy‑in and champion advocacy. • Impact & Readiness Assessments: Conduct change impact analyses and organizational readiness assessments to tailor interventions and prioritize efforts. • Communications Management: Design and execute targeted communication plans—newsletters, intranet updates, town halls—to keep stakeholders informed and engaged. • Training & Enablement: Partner with Learning & Development to develop curricula, job aids, e‑learning modules, and instructor‑led workshops that equip users with new skills and processes. • Resistance & Reinforcement: Anticipate and address resistance through coaching, focus groups, and feedback loops; establish reinforcement mechanisms (surveys, scorecards, recognition programs) to sustain change. • Metrics & Reporting: Define and track OCM KPIs (adoption rates, training completion, stakeholder sentiment) to measure progress and course‑correct as needed. • Governance & Best Practices: Establish change governance forums, templates, and playbooks; share lessons learned and promote a culture of continuous improvement. Required Qualifications & Skills • 15–18 years of experience in organizational change management, with at least 5 years leading OCM for large retail transformations. • Deep understanding of retail operations (store operations, supply chain, merchandising, loyalty programs) and associated technology rollouts. • Proven expertise with OCM frameworks and methodologies (Prosci ADKAR, Kotter’s 8‑Step, Lewin’s Change Model). • Strong stakeholder‑management skills, with experience influencing senior executives and cross‑functional teams. • Excellent written and verbal communication skills; able to craft compelling messages for diverse audiences. • Experience designing and delivering training programs and change workshops. • Analytical mindset with ability to define metrics, collect feedback, and report on change effectiveness. • Familiarity with change management tools (e.g., WalkMe, SharePoint, SuccessFactors) and project management practices. Preferred Qualifications • Prosci Change Management Certification or equivalent. • Experience with agile transformations and scaled‑agile frameworks (SAFe). • Background in digital adoption platforms and analytics. • Master’s degree in Organizational Psychology, Change Management, Business Administration, or related field. Education • Bachelor’s degree in Business Administration, Human Resources, Organizational Psychology, or related discipline (Master’s preferred). Behavioral Competencies • Influence & Collaboration: Build consensus and foster partnerships across business, IT, and HR teams. • Strategic Thinking: Anticipate change impacts and align OCM activities with long‑term business objectives. • Adaptability: Navigate ambiguity and adjust plans in a fast‑paced, dynamic retail environment. • Empathy & Resilience: Understand stakeholder perspectives, manage resistance, and maintain momentum. • Continuous Improvement: Drive innovation in change practices and share best practices across the organization. Show more Show less

About Role: The BBS Engineer is responsible for the accurate preparation and verification of Bar Bending Schedules for various reinforced concrete elements across the building project lifecycle. This role ensures optimization of steel usage, timely issuance of cutting lists, coordination with structural and site execution teams, and adherence to project timelines. Key Responsibilities: Prepare and review detailed BBS from structural drawings. Coordinate with structural consultants, site engineers, and contractors. Prepare cutting length, bar shapes, and quantities using AutoCAD and MS Excel. Optimize steel usage to reduce scrap and ensure cost-effective planning. Check and reconcile steel consumption reports with BOQ and site execution. Provide timely BBS for each stage of construction (footings, columns, slabs, beams, etc.). Ensure compliance with relevant IS codes and safety standards. Assist in material planning and procurement with store and planning teams. Qualifications: Diploma / B.E. / B.Tech in Civil Engineering. Skills & Expertise: Strong knowledge of RCC and steel reinforcement detailing. Proficiency in AutoCAD, Excel, and BBS preparation software/tools. Familiar with IS:2502, IS:456, and relevant reinforcement codes. Good analytical and quantity take-off skills. Ability to read and interpret structural and architectural drawings. Effective communication and coordination abilities. Preferred Industry: Residential/Commercial/Institutional Building Projects

Responsibilities: Oversee civil site engineering activities, ensuring compliance with project plans and specifications. Manage construction projects from planning to execution, including labor management and resource allocation. Travel allowance Health insurance Accidental insurance Annual bonus Provident fund

Overview 170+ Years Strong. Industry Leader. Global Impact. At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence. Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our family of industry subject matter experts. The Global Security Operations Center (GSOC) Operator- Customer Service, assigned to one of Pinkerton's largest global clients, will be responsible for utilizing best practices to identify, analyze, and support all incidents that are either impactful or potentially impactful to the people, assets, and reputation of the client. The Operator monitors multiple streams of security information, including emails, phone calls, alarms, camera systems, and other access control technologies. This role assists corporate employees, vendors, and visitors, by way of written correspondence, with concerns that pertain to safety and security around the globe. Responsibilities Represent Pinkerton's core values of integrity, vigilance, and excellence. Provide first line assistance to the client's employee, vendors, and visitors regarding all concerns relating to safety and security. Utilize effective writing capabilities to provide consistent and quality customer support. Communicate, detect, assess, and alert others of incidents which may impact the safety of people, products, property, and brand image. Follow procedures for managing a variety of incidents, from minor to major situations. Provide back-up support and on-call functions, as needed. Maintain a high level of professionalism and approachability. All other duties, as assigned. Qualifications Associate degree (Bachelor's preferred) in international affairs/relations, business, emergency management, political science, criminal justice, or related discipline or at least two years of equivalent work experience in customer service, contact centers, or corporate security. Knowledge of GSOC, SOC, and/or TOC systems and administration, preferred. Able to effectively read, write, and speak clearly in English. Client orientated and results driven. Able to multitask in a fast-paced, and at times within a stressful work environment. Serve as an effective team player. Comfortable with a high-tech working environment and willing to learn new tools and innovations. Computer skills; Microsoft Office. Working Conditions: With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions; Regular computer usage. Occasional reaching and lifting of small objects and operating office equipment. Frequent sitting. Flexibility to work a variety of different shifts and willing to assist with overtime when needed.

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision. This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint. Key Responsibilities Contribute to AI business growth by working on RFPs, proposals, and solutioning activities. Lead the team in delivering customer requirements, ensuring quality and timely execution. Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques. Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA. Interact directly with customers to understand their business needs and provide AI-driven solutions. Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models. Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings. Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate AI into business applications. Stay updated with AI/ML research and integrate new techniques into projects. Required Skills & Qualifications Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision. Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion). Experience with data preprocessing, feature engineering, and performance evaluation. Exposure to containerization and cloud deployment using Docker, Kubernetes. Experience with vector databases and RAG-based architectures. Ability to lead teams and projects, and work independently with minimal guidance. Experience with customer-facing roles, proposals, and solutioning. Educational Requirements Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field. Preferred Skills (Good To Have) Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting. Familiarity with Graph Neural Networks (GNNs). Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms. Contributions to open-source AI projects or publications in peer-reviewed journals. Skills:- Artificial Intelligence (AI) and Machine Learning (ML) Show more Show less

Role Overview Join as the founding ML lead to design and deploy the core recommendation and personalization systems behind a next-generation matchmaking platform. This role involves full ownership of the lifecycle—from ideation to production—of scalable, real-time ranking infrastructure that transforms sparse and dynamic user behavior into deeply personalized match suggestions. Key Responsibilities Build and scale matchmaking, recommendation, ranking, and personalization systems from scratch Design a real-time adaptive matchmaking engine that evolves with user interactions and multi-modal signals Develop algorithms for curated, personalized user feeds using ranking models and recommender systems Construct user embeddings, similarity frameworks, and graph-based scoring models Solve cold-start challenges with novel approaches including meta-learning and LLM-based signals Collaborate closely with product, data, and engineering teams to ensure cohesive user experiences Deploy ML models into production with strong observability, experimentation, and model management practices Help establish and grow a high-performance ML team and culture What We Look For Skills: 3–10 years of hands-on experience in building large-scale personalization, recommendation, or ranking systems Strong track record with B2C platforms—especially social, e-commerce, dating, gaming, fashion, or video Deep expertise in collaborative filtering, deep retrieval (e.g. two-tower), learning-to-rank, embedding models with ANN, and LLM-based recommendation for sparse data Practical experience with building end-to-end ML pipelines from feature engineering to deployment Clear understanding of offline/online evaluation, metric optimization, and A/B testing at scale Exposure to vector search, graph-based modeling, and reinforcement learning is a strong plus Qualifications Required Experience: 3–10 years of experience in ML-driven recommendation or personalization systems Bonus Points: Prior leadership in a product-focused ML role, experience with graph-based models, vector search, or LLM personalization Job Location Gurgaon What We Offer A pivotal role in a stealth-stage product where ML is at the core of the user experience Real impact on redefining how people build meaningful relationships through technology Substantial ESOPs and competitive cash compensation with high upside potential A fast-moving, collaborative environment with room for experimentation and innovation Opportunities to grow both as a technical expert and a team leader in a product-first organization Show more Show less

Need to undertake Rebar Detailing on Rebar CAD and Autocad Required Candidate profile Should have minimum 1 year experience in Rebar detailing Perks and benefits Best in the Industry

About the Company SRMB Srijan Private Limited, a seasoned Primary Steel Producer certified with IMS (ISO 9001:2015/ISO 14001:2015/ISO 45001:2018) and GreenPro, boasts a seven-decade legacy in the industry, recognized by the Joint Plant Committee under the Ministry of Steel. Our integrated steel manufacturing unit delivers SRMB TMT bars, Low Alloy Steel TMT Bars, and Structural steel, all crafted from captive steel semis, ensuring impeccable production through robust refining facilities. Under the license of CRM, Belgium's TEMPCORE Cooling Technology, and BIS License up to Fe-700 grade, including ductile (D) & super ductile (S) grades, SRMB manufactures reinforcement bars. With a turnover exceeding 2500 crore p.a., our manufacturing units are equipped with cutting-edge infrastructures and testing facilities, including digital universal testing machines and spectrometers, ensuring stringent quality control. Our Patented “WINGRIP” Technology Rib Design provides better bonding with Concrete compared to Conventional Ribbed TMT Bars. About the Role Minimum 15+ years cumulative work experience. Must have worked at the Regional head (East) level in channel sales marketing in leading construction product brands preferably steel (TMT bars) or Cement. The candidate must have thorough past work experience in working in various states of Eastern India and wide networking contacts with existing channel prospects. The candidate should also be resourceful in team building and bringing on board quality team members as required for the target markets. The candidate shall be responsible for leading teams in these markets for business growth Responsibilities Specialized in channel sales, business development, key account management, dealer management, team management, strategic planning, budgeting, forecasting, operations management. P& L of monthly , branding , MIS . Qualifications Bachelor's degree. MBA preferred Required Skills Strong organizational and multitasking abilities. Excellent communication and interpersonal skills. Channel sales experience. Team Handling experience. Preferred Skills Experience in a leadership role. Familiarity with industry-specific regulations. Pay range and compensation package The salary for this position ranges from 14 LPA CTC to 22 LPA CTC annually, depending on experience and qualifications. Show more Show less

Description The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our Team Solves a Broad Range Of Problems That Can Be Scaled Across ROW (Rest Of The World Including Countries Like India, Australia, Singapore, MENA And LATAM). Here Is a Glimpse Of The Problems That This Team Deals With On a Regular Basis Using live package and truck signals to adjust truck capacities in real-time HOTW models for Last Mile Channel Allocation Using LLMs to automate analytical processes and insight generation Ops research to optimize middle mile truck routes Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models Work closely with other science and engineering teams to drive real-time model implementations Work closely with Ops/Product partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques Basic Qualifications 5+ years of data scientist experience Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with statistical models e.g. multinomial logistic regression Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience working with data engineers and business intelligence engineers collaboratively Demonstrated expertise in a wide range of ML techniques Preferred Qualifications Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Expertise in Reinforcement Learning and Gen AI is preferred 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. Company - Amazon Development Centre (India) Private Limited - S55 Job ID: A2974724 Show more Show less