2079 Reinforcement Jobs - Page 31

About the company Were hiring for a deep tech startup at the cutting edge of AI + Quantum Computing , offering a fully integrated stack from superconducting quantum hardware to AI powered software platforms for solving extremely complex business and scientific challenges across industries like drug discovery, logistics, chip design, energy, and climate modeling. The companys 25‑qubit superconducting quantum system is India’s first full stack build, backed by the National Quantum Mission and enterprise partnerships What You'll Do Design and build multi‑agent LLM systems for complex reasoning workflows Design domain specific scaffolds (prompts, datasets) and robust evaluation frameworks to guide AI systems in specialized environments Implement reinforcement learning enhancements (RLHF, DPO, GRPO, SFT) for agent optimization Fine tune and deploy small reasoning models; perform post‑training domain adaptation Engineer scalable training/inference pipelines on multi node GPU clusters with containerized infrastructure Collaborate with product and vertical teams to transition research into real world applications Contribute to publications, open source work, and internal learning across the company Who We're Looking For MS or PhD in CS, ML, AI or a related technical field 4+ years in applied AI research Proficient in Python + PyTorch or JAX, including scaled or custom implementations Practical experience with RL techniques like RLHF, DPO, GRPO, SFT Exposure to chain of thought prompting and dataset creation Demonstrated experience building and deploying multi‑agent systems Experience with distributed infrastructure: Docker/Kubernetes, Ray, Hydra, MLflow Bonus if you have publications (NeurIPS, ICLR, ICML, AAMAS) or domain experience in drug discovery, materials, quantum control, chip design Open source contributions to AI research or tooling Experience optimizing large scale models for inference and deployment. What We Offer Work on world class AI Quantum systems that push scientific and industrial boundaries Access to one of the country's most advanced quantum systems + top tier GPU/HPC infrastructure Ownership and flexibility, define your research direction and release real world impact Competitive package with performance bonus and ESOPs Collaborative, knowledge sharing culture with industry leading experts If you fit the qualifications and are passionate about pushing the frontier of AI + Quantum, we’d love to hear from you! Know someone perfect for this? Tag them or share this post in your network we’re building something extraordinary together

Position: Quantity Surveyor Experience: 2–3 Years Location: Turbhe, Navi Mumbai Role Overview We are looking for a proactive and detail-oriented Quantity Surveyor to join our team. The selected candidate will play a dual role—supporting tender estimations during the pre-bid stage, and preparing detailed Bill of Quantities (BoQ) for projects designed in-house. The ideal candidate should have a good understanding of highway and bridge engineering drawings and relevant codes. Prior experience in highway or bridge infrastructure projects will be preferred. Key Responsibilities 1. Pre-Bid Tender Estimation 2. Review and interpret tender documents, schedules, General Arrangement Drawings (GADs), and technical specifications 3. Prepare preliminary BoQ based on schematic or tender drawings 4. Coordinate with engineering team to finalize assumptions and clarify ambiguities in quantities 5. Maintain and update material rates and quantity databases 6. Post-Award Quantity Take-Offs 7. Read and interpret final IFC/approved drawings for accurate quantity take-off 8. Extract quantities related to highways and structural elements including RCC, prestressing, reinforcement, bearings, etc. 9. Coordinate with design and drafting teams to ensure accuracy and consistency 10. Prepare structured and itemized BoQs for client submissions, tender support, or project billing 11. Coordinate with external clients as and when required Skills & Qualifications 1. Diploma or Bachelor’s degree in Civil Engineering or Quantity Surveying 2. 2–3 years of relevant experience in infrastructure or infrastructure design-based quantity surveying 3. Prior experience in highway projects will be an added advantage 4. Strong proficiency in reading technical drawings and GFC documents 5. Hands-on experience with Excel; knowledge of AutoCAD or any BoQ preparation software is a plus 6. Familiarity with IRC/IS codes and construction practices for bridges/highways is desirable 7. Strong analytical skills, attention to detail, and ability to work with minimal supervision If you are interested, kindly share me your resume on 8826660313

Designation : CAD Draftsman Reporting to : Director Company Profile : https://www.paradigm.in/ Job Type : Full Time Job Location : Kochi, Kerala Company Description Paradigm IT Private Limited is a civil/structural engineering services company located in Kochi. Owned and managed by qualified civil/structural engineers from India and Europe. The company offers services such as structural design, concrete reinforcement detailing, structural steel detailing, BIM services, and pre-construction CAD services. Requirements: • 4 to 6 years of experience in AutoCAD (Structural) • Knowledge about Industrial structures, Infrastructure Projects • Strong technical judgment and communication skills. • Ability to work collaboratively in a team environment • Bachelor's degree or Diploma in Civil / Structural Engineering Preferred Software: * Navisworks/clash detection * AutoCAD * BIM Note : Site Experience candidates are not eligible to apply. Please shoot your resume to bijo@paradigm.in

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 36726 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

About Company: Our 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. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: BackEnd Developer/Rust Location: Remote 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) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

Job Description The IT Technical Engineer Act as a technical software expert, accountable for software development including the research, design, programming, and testing of operating or new software. Supporting business and IT to adapt digital technologies faster and to improve application or solution performance. How You Will Contribute And What You Will Learn Responsibilities : Design, implement, and execute test cases for AI/ML models. Conduct performance, stress, and regression testing for models. Ensure data quality and validation for training and testing datasets. Test model robustness to ensure reliability in various edge cases. Collaborate with Data Scientists and AI Engineers to ensure the quality of model outputs. Implement automated testing frameworks specific to AI/ML applications. Conduct ongoing monitoring and reporting of model performance post-deployment. Validate the fairness and compliance of models with ethical and regulatory standards. Key Skills And Experience Skills Required: Typically 1-2 years of professional experience. Programming Languages Python: Widely used for machine learning, automation, and data analysis tasks. R: Popular for data analysis and statistics, commonly used in machine learning. Machine Learning Concepts Supervised, Unsupervised, and Reinforcement Learning: Understanding these core techniques is essential. Model Evaluation Metrics: Knowledge of metrics like accuracy, precision, recall, F1-score, ROC-AUC, etc. Model Overfitting and Underfitting: Understanding how to test for and mitigate these issues. Feature Engineering: Knowledge of how to create meaningful features for ML models. Testing Knowledge Test Automation: Proficiency in creating test scripts for AI/ML models to validate the functionality, performance, and accuracy of models. Unit Testing: Writing unit tests for machine learning pipelines and algorithms. Integration Testing: Ensuring the integration of different components like data processing pipelines, model training, and prediction services work as expected. Regression Testing: Ensuring that new code does not break existing functionality. Performance Testing: Validating the efficiency of models and ensuring that they perform well in real-world environments. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team In Mobile Networks , our ambition is to become the trusted partner of choice for Communications Service Providers (CSPs), as well as for non-CSP entities in sectors like utilities, transportation, public services, and defense. We strive to deliver unbeatable customer experiences in wireless connectivity.

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. Responsibilities Job Description Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. 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.

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 Responsibilities Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. 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.

Technical Operations Manager (Code Generation AI) Are you a seasoned operations professional with a passion for cutting-edge AI and a knack for managing complex technical projects? We're a fast-growing Indian company, specializing in post-model training data services for code generation models. We're experiencing exploding demand for high-quality coding datasets and are looking for a Technical Operations Manager to be the crucial link between our global big tech clients and our talented data labeling teams.In this role, you'll be instrumental in ensuring seamless communication, successful project kick-offs, and the overall satisfaction of our enterprise clients. You'll work closely with leading AI companies to understand their evolving needs in Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and evaluations for their groundbreaking code generation models. What You'll Do: Client Relationship Management: Act as the primary point of contact for our global big tech clients, building strong relationships and understanding their technical requirements for code generation datasets. Project Lifecycle Management: Oversee the entire project lifecycle, from initial client engagement and requirement gathering to project kick-off, execution, and successful delivery. Communication & Coordination: Facilitate clear and effective communication between clients and our internal Ground Truth (GRT) teams, translating technical specifications into actionable tasks for our labeling workforce. Technical Scoping & Planning: Collaborate with clients and internal subject matter experts to define project scope, technical specifications, and success metrics for data labeling projects. Process Building & Optimization: Design, implement, and continuously improve processes for quality control and assurance of large-volume coding datasets. Develop scalable strategies for the management and performance optimization of a very large workforce and multiple project teams. Risk Management: Proactively identify potential roadblocks and develop mitigation strategies to ensure timely and high-quality project delivery. Performance Monitoring: Track project progress, report on key performance indicators (KPIs), and ensure projects are delivered on time and within budget. What We're Looking For: 5+ years of experience in technical operations, program management, or a similar client-facing technical role, preferably within the AI/ML data services industry. Proven experience working with global enterprise clients , particularly big tech companies (e.g., Google, OpenAI, Meta). Strong understanding of AI/ML concepts , particularly in the context of large language models and code generation. Familiarity with SFT, RLHF, and evaluation methodologies is highly desirable. Exceptional communication skills , both written and verbal, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences. Demonstrated ability to manage multiple projects concurrently in a fast-paced, dynamic environment. Strong problem-solving skills and a proactive approach to identifying and resolving issues. Experience in creating and implementing project plans and managing technical teams. A Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred. A Masters Degree in Management is preferred. Technical Knowledge Focus: While this is not a hands-on coding role, a solid conceptual understanding of popular full-stack technologies is highly beneficial. This includes familiarity with core web development languages like JavaScript, HTML, and CSS, along with popular frameworks such as React, Angular, or Vue.js for front-end understanding. On the back-end, knowledge of languages like Python (with frameworks like Django/Flask), Node.js (with Express.js/NestJS), or Java (with Spring Boot) and an understanding of database concepts (SQL and NoSQL like MySQL, PostgreSQL, MongoDB) will be valuable in conversing with clients and technical teams. Additionally, a strong preference will be given to candidates who possess knowledge of post-model training techniques, an understanding of LLM benchmarking specifically for code generation (e.g., HumanEval, SWE-Bench), and proven experience in managing the quality of large-volume coding datasets for AI training. Why Join Us: Be at the forefront of AI innovation, contributing to the development of cutting-edge code generation models. Work with some of the biggest names in the global tech industry. Join a rapidly growing company with a dynamic and collaborative work environment. Opportunity for significant impact and career advancement. If you're a self-starter with a passion for technology, excellent client management skills, and the drive to make a significant impact, we encourage you to apply!

STRUCTURAL REBAR ENGINEER Bachelor’s degree in civil engineering / diploma Minimum of 3-5 years of experience as a structural engineer expertized in drawing checking (rebar) Excellent communication in English and interpersonal skills. Possess a strong understanding of rebar detailing standards and procedures to meet the quality. Strong understanding of rebar detailing codes and standards. Proficiency in any rebar detailing software (e.g., CADS RC, Rebar CAD, RGS, Rebar Plus etc). Salary : Between 25,000/- to 60,000/- Location : Trivandrum, Technopark, Kerala, India. Job Description : 1. Checking the Latest Drawing: Make sure that the detailing team is using the most recent version of the drawings. This drawing should have been thoroughly reviewed and approved for construction use. If any details are missing coordinate with client and raise Rfi's 2. Reinforcement Compliance: Confirm that the reinforcement size and placement being used, which matches the approved design drawings. 3. Drawing Alignment: Verify that the architectural and structural drawings are consistent and aligned with each other. This helps ensure that the shop drawings matches the intended structural design. 4. Approval of Bar Bending Schedule (BBS): Ensure that the Bar Bending Schedule, which details the shapes and lengths of reinforcement bars, matches the design / shop drawings. 5. Bar Lap Length and Location: Confirm that the overlap length of reinforcement bars (bar lap length) and their staggered positioning align with what is specified in the approved structural drawings. 6. Support and Spacing: Verify whether the reinforcement drawings are provided with well-supported rebar's including the use of spacers or chair supports. 7. Cover to Reinforcement: Examine the concrete cover on the top, bottom, and sides of the reinforcement is the correct thickness with reference with the design drawings. 8. CAD check: Make sure that the shop drawings is drafted in proper layer, text style, font type, dimension type etc.

Role : Associate Architect - Machine Learning (Gen AI) Experience : 6 to 8 Years Location : Bangalore / Mumbai (Hybrid) Job Summary: We are looking for an experienced Associate Architect - Machine Learning to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. Roles and Responsibilities: Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Skill Set Required: Experience : Minimum 5+ years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills : Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Preferred Skills & Qualifications: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.

Role : Senior Machine Learning Engineer (GenAI) Required Experience : 3 to 6 years Location : Mumbai / Bangalore / Trivandrum (hybrid) Job Summary: We are looking for experienced Machine Learning Engineers to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention. Roles & Responsibilities: Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders. Required Skills & Qualifications: Experience: 3+ years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git). Soft Skills: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities to collaborate with stakeholders. Ability to work independently and drive projects to completion with minimal supervision. Good to Have Skills: Experience in deploying AI models at scale in production environments. Expertise in large-scale data processing, optimization techniques, and model deployment.

About Codeyoung: Codeyoung is dedicated to empowering young minds through engaging and interactive online coding education. We believe in making learning fun and accessible, helping students develop critical thinking and problem-solving skills for the future. Job Summary: We are seeking passionate and skilled Online Scratch Mentors to guide students (primarily in US/Canada time zones) through the fundamentals of coding using the Scratch platform. This role requires an enthusiastic individual committed to delivering high-quality, interactive, and personalized learning experiences during our night shift hours. Key Responsibilities: Deliver engaging and effective one-on-one or small group online coding lessons using the Scratch platform. Break down complex Scratch concepts into easily understandable and fun activities for young learners. Foster creativity and problem-solving skills in students, encouraging them to build their own projects. Provide constructive feedback and positive reinforcement to ensure student progress and confidence. Maintain open and clear communication with students (and potentially parents), adapting teaching methods to individual learning styles. Track student attendance, progress, and provide regular updates. Shift Details: This is a night shift position requiring a consistent commitment of 4 hours daily , within the window of 2:30 AM IST to 7:30 AM IST . Required Qualifications & Skills: Proven expertise and strong proficiency in Scratch programming (experience teaching Scratch to children is highly preferred). Excellent communication skills (verbal and written) to clearly explain concepts to young students and interact professionally. Exceptional interpersonal and interaction skills to create a positive, engaging, and patient learning environment. Strong presentation skills for delivering effective online lessons. Ability to adapt teaching styles to suit different age groups and learning paces. Reliable internet connection and a conducive home-office setup for online teaching.

Jobs- Full Time Excellent knowledge in different deep learning practices (CNN, RNN, LTSM, Reinforcement Learning, SSD, Inception, GoogleNet etc. ) as well as Machine Learning in general Expert experience with computer vision and image processing (OpenCV, openCV CUDA). ML Engineer Bangalore - Mantis HR - Job Posting ML Engineer Bangalore Excellent knowledge in different deep learning practices (CNN, RNN, LTSM, Reinforcement Learning, SSD, Inception, GoogleNet etc. ) as well as Machine Learning in general Expert experience with computer vision and image processing (OpenCV, openCV CUDA). Experience With Caffe, Tensorflow Or Other Model Training Software. Fluent in Python and C on a Linux platform. Role: ML Engineer.. Skills Required: Deep learning, C , Python, Java, Linux Environment. Useful information. Avoid scams by acting locally or paying with PayPal. Never pay with Western Union, Moneygram or other anonymous payment services. Don't buy or sell outside of your country. Don't accept cashier cheques from outside your country. This site is never involved in any transaction, and does not handle payments, shipping, guarantee transactions, provide escrow services, or offer "buyer protection" or "seller certification". Good know how on H. 264 and H. 265 Experience on GPGPU programming know how on C/ C - Good analytical skills. 3- 5 Years Embedded Software engineer job. Excellent programming skills C, Data structures, Algorithms Minimum 2- 3 Years of experience in Embedded software development in 'C' Hands on experience in RTOS. Preferable experience in DTV or STB domain. Basic scripting in linux (bash) 2. Familiar with using GNU toolchain for development 3. C Language 4. Using Linux as development environment 5. Debugging skills in Linux environment (Using GDB, etc. )

Millennium is a cutting edge fintech where we solve hard and interesting problems at the intersection of computer science, finance, and mathematics. We are focused on innovating and rapidly applying innovations to real world scenarios in finance. This enables engineers to work on interesting problems, learn quickly and have deep impact to the firm and the business. We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are, enabling traders/researchers to consume vast amount of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to find prices of instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk, to name a few. The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc. We are seeking a senior AI/ML SWE who has experience with LLM, deep learning, reinforcement learning, etc. as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and product ionization. Key Responsibilities Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space. Experiment, iterate, productionize AI/ML solutions. Build supporting data and Ai/ML infrastructure and tools. Required Skills And Qualifications Strong knowledge of the latest advancements in AI and machine learning. Strong fundamentals in computer science. Proficiency in Python and at least 1 other language such as Java, C++, C#, etc. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc. Ability to build and evaluate AI models and tools using quantifiable metrics. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills to effectively collaborate with developers and other stakeholders. Adaptable and willing to work in a start-up-like environment within a major institution. Preferred Qualifications Advanced degree in Computer Science, AI, Machine Learning, or a related field. Experience in developing AI solutions for financial institutions. Knowledge of additional programming languages and frameworks. 7+ years of relevant experience.

Senior AI/ML Engineer - R01551337 Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions • Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. • Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. • Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization • Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. • Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. • Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research • Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. • Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. • Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact • Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. • Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building • Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. • Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions. Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field. Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies. Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter). Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API). Familiarity with prompt engineering and structured evaluation of generative outputs. Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced parental leave policies MacBook Pro Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Site Supervisor (Civil) Supervision of all works at site - concreting, shuttering, reinforcement, brickwork etc. Job Type: Full-time Pay: From ₹20,000.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Night shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Higher Secondary(12th Pass) (Preferred) Experience: total work: 5 years (Preferred) Shift availability: Day Shift (Preferred) Night Shift (Preferred) Overnight Shift (Preferred) Willingness to travel: 25% (Preferred) Expected Start Date: 07/07/2025

BE/B.Tech in Civil Engg. with 8-12 years exp. in end to end construction of Road, Bridge, ROB etc. in State or National Highways. Preferably Kota or Rajasthan residents. Knowledge of civil construction & related work, study of drawing. Knowledge of Estimation & Costing, Bar Bending Schedule, Rate Analysis, Labour & Machinery Analysis . Pre-bid budget vs post-bid budget based on revised logistic plan and preliminary drawings / pavement composition etc. Subsequent revision as and when required. Keeping records of measurement / billing / verification by clients / department. Quantity Analysis, Quantity Survey. Preparation of MPR, DPR, WPR, understand the scope of work and quantity estimation. Daily & weekly work schedules. Obtain measurement from site engineers. Verification of contractor and client bills & process, procurement & resource plan, work orders. Evaluation and monitoring of sub contractor bills. Study the drawings and calculation of material, BOQ with item rates. Quantification of Road Work Items like Earthwork, GSB, WMM, DBM, BC / SMA, DLC, PQC in Km wise for MCW / SR similarly structural work quantity like Concrete, reinforcement per BBS structure wise. Reconciliation of materials and bills and get certification on time. Follow up with Accounts dept for payment. Project related documentation, correspondences, drawings. Attend project progress review meetings. Ensure compliance of quality, safety and legal compliances. Searching & downloading tenders from different government websites related to company profile. Making documents for Quotations, physical tenders, online tenders & uploading in E-Portal. Attend Tender opening, technical, price. Software - Autocad, MS Office, Primavera, e-Portals Job Type: Full-time Pay: From ₹45,000.00 per month Schedule: Day shift Rotational shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 26/07/2025

We are seeking a skilled Associate QA Automation Engineer with strong experience in automated UI testing using Cypress or Playwright and JavaScript . The ideal candidate will also have hands-on experience in performance testing using JMeter . You will be responsible for building reliable automation frameworks, executing performance tests, and ensuring the quality and scalability of our web applications. Title : Associate QA Automation Engineer Location : Remote Work Employment Type: Full-time Work Timings : 2:00 PM and 11:00 PM IST Exp Level: 2 to 5 years of exp only If you're interested in this opportunity, please click the link below to complete a short video assessment. Before starting, ensure your browser has permission to access your microphone and camera​:https://hire.techolution.com/video-resume?role=4b188889-ceb6-4354-b7fc-01fa46a2720b Key Responsibilities: Design, develop, and maintain automated test scripts using Cypress or Playwright with JavaScript . Collaborate closely with developers, product managers, and other QA team members to understand requirements and translate them into test cases. Perform performance testing of APIs and web applications using JMeter and analyze the results to identify bottlenecks. Integrate automated tests into the CI/CD pipeline for continuous quality checks. Identify, log, and track bugs through to resolution. Contribute to the enhancement of QA processes and best practices. Prepare detailed reports on test results and suggest improvements for performance and scalability. Stay up to date with emerging trends and tools in QA automation and performance testing Required Skills & Experience: Strong hands-on experience in building and maintaining automation frameworks using Cypress and/or Playwright with JavaScript . Proficient in JavaScript/TypeScript for writing clean, maintainable, and scalable test automation code. Deep understanding of browser internals, DOM manipulation, and asynchronous behavior in web applications. Solid experience in performance/load testing using Apache JMeter , including scripting, execution, and result analysis. Strong skills in API testing and validation — including creating automated tests for RESTful services. Experience integrating automated tests with CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI). Familiarity with BDD/TDD frameworks and practices. Good experience with test reporting and debugging tools (e.g., Allure reports, Playwright Test Reports, or Cypress Dashboard). Working knowledge of Git for source control and branching strategies. Understanding of performance metrics (e.g., response time, throughput, latency) and root cause analysis for performance issues. Strong collaboration skills — ability to work closely with developers, product owners, and DevOps teams. Excellent problem-solving , analytical thinking , and communication skills . About Techolution: Techolution is a next gen consulting firm on track to become one of the most admired brands in the world for "innovation done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI. Other focus areas being Enterprise Cloud, Product Innovation (IoT, 3D printing, Robotics), Real World AI Services (CV, LLM, CNN). We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

BE/B.Tech in Civil Engg. with 8-12 years exp. in end to end construction of Road, Bridge, ROB etc. in State or National Highways. Preferably Kota or Rajasthan residents. Knowledge of civil construction & related work, study of drawing. Knowledge of Estimation & Costing, Bar Bending Schedule, Rate Analysis, Labour & Machinery Analysis . Pre-bid budget vs post-bid budget based on revised logistic plan and preliminary drawings / pavement composition etc. Subsequent revision as and when required. Keeping records of measurement / billing / verification by clients / department. Quantity Analysis, Quantity Survey. Preparation of MPR, DPR, WPR, understand the scope of work and quantity estimation. Daily & weekly work schedules. Obtain measurement from site engineers. Verification of contractor and client bills & process, procurement & resource plan, work orders. Evaluation and monitoring of sub contractor bills. Study the drawings and calculation of material, BOQ with item rates. Quantification of Road Work Items like Earthwork, GSB, WMM, DBM, BC / SMA, DLC, PQC in Km wise for MCW / SR similarly structural work quantity like Concrete, reinforcement per BBS structure wise. Reconciliation of materials and bills and get certification on time. Follow up with Accounts dept for payment. Project related documentation, correspondences, drawings. Attend project progress review meetings. Ensure compliance of quality, safety and legal compliances. Searching & downloading tenders from different government websites related to company profile. Making documents for Quotations, physical tenders, online tenders & uploading in E-Portal. Attend Tender opening, technical, price. Software - Autocad, MS Office, Primavera, e-Portals Job Type: Full-time Pay: From ₹45,000.00 per month Schedule: Day shift Rotational shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 26/07/2025

About Company: Our 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. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Python Developer Location: Remote 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) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Python Proficiency with Git, Docker , and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a Remote Senior Software Engineer to join our innovative team and contribute to our cutting-edge projects. Job Responsibilities: Develop and implement advanced language models using transformer architectures. Apply reinforcement learning techniques to improve the performance and efficiency of AI models. Collaborate with AI researchers and data scientists to design and optimize AI solutions. Contribute to the entire model development lifecycle, from research and experimentation to deployment. Troubleshoot and improve existing AI models and architectures for enhanced performance. Stay updated on the latest AI research and technologies, incorporating them into KYFEX's solutions. Write clean, maintainable, and efficient code for various AI projects. Document development processes, model architectures, and evaluation metrics. Minimum Requirements: Bachelor’s degree in Computer Science, Artificial Intelligence, or related field. 5+ years of software engineering experience, with a strong background in AI and machine learning. Proficient in programming languages relevant to AI development, such as Python. Hands-on experience with transformer architectures and language modeling. Demonstrated knowledge and application of reinforcement learning techniques. Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with deploying AI models in production environments. Strong problem-solving skills and ability to work independently. Preferred Skills: Master’s or Ph.D. in a relevant field. Experience with NLP (Natural Language Processing) and understanding of NLP data preprocessing techniques. Proficiency in working with large-scale datasets and distributed computing technologies. Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure) for AI development and deployment. Excellent communication skills, with the ability to collaborate effectively in a remote team environment. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Senior Software Engineer Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.

About KYFEX: KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a talented Remote Staff Data Scientist to enhance our capabilities in the LLM for Insights and contribute to our mission of transforming data into actionable insights. Job Responsibilities: Lead the development and implementation of state-of-the-art language models using transformer architectures and reinforcement learning techniques. Conduct research and experimentation to improve model accuracy, efficiency, and scalability. Collaborate with cross-functional teams to integrate AI models into practical solutions for diverse business challenges. Utilize advanced data analytics and machine learning techniques to extract insights from large datasets. Stay abreast of the latest advancements in AI, machine learning, and data science, and evaluate their applicability to ongoing projects. Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning. Present findings and progress to stakeholders, translating complex technical details into actionable business insights. Minimum Requirements: Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Ph.D. preferred. 5+ years of experience in data science or AI research, with a focus on language modeling and reinforcement learning. Strong proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch. Demonstrated experience with transformer models and NLP techniques. Solid understanding of reinforcement learning algorithms and their applications. Experience with large-scale data processing and analysis. Excellent problem-solving skills and the ability to work independently in a remote environment. Preferred Skills: Publications in relevant AI/ML conferences or journals. Experience with cloud computing platforms (AWS, Google Cloud, or Azure) for deploying AI models. Knowledge of data privacy and ethical AI principles. Proven track record of leading AI projects from conception to deployment. Exceptional communication skills, with the ability to mentor team members and collaborate effectively across teams. Why Join KYFEX? Work at the forefront of AI technology with a team of experts passionate about innovation. Enjoy the flexibility and benefits of a fully remote position. Engage in challenging and meaningful projects that have a real-world impact. Benefit from a culture of continuous learning, professional development, and collaborative achievement. To Apply: Interested candidates are invited to submit their resume, a cover letter detailing their experience with LLMs, and any relevant project samples or GitHub links to careers@kyfex.com with "Remote Staff Data Scientist Application" as the subject line. KYFEX is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.

Job Title : Sr. Python Developer Job Location : Hyderabad Type : Full : 8+ Period : Immediate to 15 days joiners are highly : Design, develop, and maintain scalable Python applications and AI-powered solutions. Collaborate with cross-functional teams to understand requirements. Create, train, deploy, and optimize machine learning and AI applications. Integrate AI/ML models into production environments with robust error handling, logging, and monitoring. Implement and enhance data preprocessing pipelines, ensuring data quality for training and inference. Conduct research to explore new AI/ML technologies, frameworks, and practices to enable teams. Write clean, testable, and efficient code following best practices for software development. Debug and improve the performance, scalability, and reliability of Python-based applications. Work with cloud platforms, FastAPIs, and databases to develop end-to-end AI : Proficient in Python and its libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Flask/Django). Hands-on experience with ML algorithms (e.g., supervised and unsupervised learning, reinforcement learning). Knowledge of natural language processing (NLP), computer vision, or deep learning techniques. Familiarity with AI-driven tools and architectures. Solid understanding of data structures, preprocessing techniques, and feature engineering. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services. (ref:hirist.tech)