9198 Pytorch Jobs - Page 6

Job Title: Python (AI/ML Engineer) (3–4 Years Experience) Location: Onsite – Surat (Local Candidates Only) Job Type: Full-Time Apply at: hrd.kukamitechnology@gmail.com Key Responsibilities: - Design, develop, and deploy machine learning models for real-world applications - Analyze large datasets to extract actionable insights - Build, train, and fine-tune algorithms (classification, regression, clustering, NLP, etc.) - Integrate AI/ML models with existing web/mobile applications - Collaborate with developers and designers to deliver intelligent features - Stay updated with the latest research and industry trends in AI/ML Required Skills: - Strong programming skills in Python and experience with Pandas, NumPy, Scikit-learn - Hands-on with TensorFlow, PyTorch, or other deep learning frameworks - Knowledge of Natural Language Processing (NLP), Computer Vision, or Recommendation Systems - Experience with data preprocessing, model evaluation, and optimization - Understanding of REST APIs, cloud platforms (AWS, GCP, or Azure is a plus) Job Type: Full-time Pay: ₹550,000.00 - ₹700,000.00 per year Education: Bachelor's (Preferred) Experience: AI/ML Engineer: 4 years (Required) Language: English (Required) Location: Vesu, Surat, Gujarat (Required) Work Location: In person

We are looking for an experienced AI/ML cum Python Developer with 2+ years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs): Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs): Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Requirements: Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 2 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Health insurance Work Location: In person

🤖 We're Hiring: Artificial Intelligence Researcher 📍 Location: Singapore / Remote / Hybrid (customizable) 🕒 Employment Type: Full-time 💼 Level: Mid–Senior / Researcher / PhD-level Are you passionate about pushing the boundaries of AI and machine learning? We are looking for a highly motivated and curious AI Researcher to join our team and contribute to groundbreaking innovations in artificial intelligence. 🧠 Key Responsibilities: Design, develop, and evaluate novel AI/ML algorithms and architectures Conduct cutting-edge research in areas such as NLP, computer vision, reinforcement learning, or generative AI Publish in top-tier journals and conferences (e.g., NeurIPS, ICML, CVPR) Work with cross-functional engineering teams to prototype and scale research into production-ready systems Stay up to date with the latest advancements in AI and contribute to our strategic R&D roadmap Collaborate with universities, partners, or labs on joint AI research initiatives 📘 Qualifications: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field Strong background in deep learning, statistics, and data science Experience with frameworks like PyTorch or TensorFlow Solid coding skills in Python (C++/Java is a plus) Demonstrated research experience through publications, patents, or academic work Ability to communicate complex technical ideas clearly and effectively 🌍 Preferred Areas of Expertise: Natural Language Processing (NLP / LLMs) Computer Vision Generative AI / Diffusion Models / GANs Reinforcement Learning Explainable AI (XAI) Multimodal Learning 🎁 What We Offer: A research-driven environment with real-world impact Access to high-performance computing and data infrastructure Flexible working arrangements (remote or hybrid) Competitive salary, research funding, and conference sponsorship A collaborative team of top-tier engineers and researchers

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Copilot Studio Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Copilot Studio. - Strong understanding of cloud AI services and their application in real-world scenarios. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data processing and image processing techniques. - Ability to develop and deploy chatbots using AI technologies. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Copilot Studio. - This position is based at our Kolkata office. - A 15 years full time education is required. 15 years full time education

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Company Description: McDonald’s is on a mission to build a data- and AI-powered organization that scales innovation and accelerates the Arches. The AI Hub, part of the Enterprise Data, Analytics, and AI (EDAA) team, is central to that mission—designing, deploying, and scaling AI-driven products that improve guest experiences, restaurant operations, and business decision-making. The Opportunity We’re seeking a Manager, AI/ML Engineering focused on the development, refinement, and deployment of AI models and algorithms that power enterprise AI initiatives. With an emphasis on aligning technical solutions with business strategy, this position plays a pivotal role in delivering scalable AI products across domains. The role collaborates with cross-functional teams to design machine learning models, optimize performance, and guide delivery from prototype to production. The role contributes directly to evolving AI architectures and drives innovation in enterprise AI solutions. Key Responsibilities: Design and build scalable end-to-end AI Systems, focusing on backend development Design, develop, and refine advanced AI models and algorithms, especially generative AI approaches. Includes writing code on AI product component modules, or prototypes, typically in python, but also leveraging database technologies including vector, relational, NOSQL, messaging queues, front end interfaces, etc. Will make heavy use of various GenAI platform API’s. Lead the execution of AI model lifecycle activities from development to deployment, including training, validation, and tuning Ensure alignment with enterprise AI architecture and evolving AI strategy Collaborate with data scientists, LLMOps / MLOps engineers, product managers, and business stakeholders to translate use cases into deployable AI solutions Contribute to the development of scalable AI pipelines and model deployment workflows across cloud or hybrid infrastructure Monitor model performance in production and implement updates or retraining processes to ensure continued relevance and accuracy Apply best practices for reproducibility, version control, documentation, and ethical AI considerations Mentor junior AI engineers and foster continuous learning and knowledge sharing within AI teams Stay current with advances in AI/ML research and tools, translating new capabilities into practical enterprise use Coach and mentor junior AI engineers and support cross-functional teams in AI product delivery Support enterprise AI governance and model risk management processes Qualifications Required: Bachelor’s degree in computer science, Data Science, or a related field; master’s or PhD preferred 5+ years of experience in AI/ML model development or AI System engineering (backend or full stack) Strong expertise in some variety of programming languages, with an emphasis on Python. Advanced proficiency with some AI/ML frameworks (e.g., Lang Chain, TensorFlow, PyTorch) Deep understanding of machine learning algorithms, statistical modeling, data structures and distributed systems Experience working with cloud AI platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML) Familiarity with MLops including model versioning, reproducibility, and monitoring Ability to clearly communicate technical concepts to both technical and non-technical stakeholders Strong collaboration skills with cross-functional teams in fast-paced environments Demonstrated ability to contribute to innovation and continuous improvement in AI practices Our Commitment to Values: Serve : Customers and people first. Inclusion : Everyone is welcome. Integrity : We do what’s right. Community : We give back. Family : We support each other Work location: Hyderabad, India Work pattern: Full time role. Work mode: Hybrid.

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function Global Markets is currently recruiting talented people to join one of the most challenging and exciting part of our Quantitative Research team, the Data and Artificial Intelligence Lab! We are currently recruiting interns (in Mumbai) for the Global Market Data and Artificial Intelligence Lab of BNP Paribas: Global Market is part of the Corporate and Investment Bank and deals with all market activities on Equity, Foreign Exchange and Local Markets, G10 Rates, Primary and Secondary Credit and Financing asset classes. The Lab mission is to leverage the latest techniques of Machine Learning (Deep Learning, Natural Language Processing) on the vast amount of structured and un-structured data we are collecting while doing our business as well as any other public source of information. Position Purpose We are, among other things, building models to improve the service we give to our clients (issuing recommendation, anticipating their needs, bringing the relevant research…), to help traders better understanding and managing their risks or leverage alternative data sources (social media, news, images…) for the benefit of our strategists. We are looking for candidates with education in data science, who not only have experience in solving complex problems but as well understand how and why the model work the way they do. They need to be motivated with dealing with large amount of very diverse data and extracting valuable insights out of it. The right candidate needs to be able to adapt quickly to new challenges, not to be afraid to experiment many times and fail before finding the right solution, challenge themselves with the feedback of the users and they will have the excitement of seeing their work being used in real live by the business. For Internships, We Are Looking At Duration Of 6 Months And We Are Flexible On The Starting Date (the Earlier The Better!). The Intern Will Participate To The Life Of The LAB And Will Take Ownership Of One Or More Topic. We Have a Great Variety Of Topics, And Some Of The Historical Propositions Included Prediction of which products are the most likely to be interesting for a given client. Automated Generation of Market Comment. Optimal Risk Management of Interest Rates Swap Risk. Regime disentanglement for financial mixture of experts models. Generative modelling for model control. Transformers for quantitative investment strategies. Based on the skillset & business need, we can select a valuable proposition for you! Responsibilities Direct Responsibilities Explore and examine data from multiple diverse data sources. Conceptual modeling, statistical analysis, predictive modeling and optimization design. Data cleanup, normalization and transformation. Hypothesis testing: being able to develop hypothesis and test with careful experiments. Contributing Responsibilities Help build workflows for extraction, transformation and loading of different data from a variety of sources and enable linking them to existing systems and datasets. Ensure the integrity and security of data. Technical & Behavioral Competencies Education in data science, who not only have experience in solving complex problems but as well understand how and why the model work the way they do. Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra. Knowledge or experience in Machine Learning procedures and tasks such as Classification, Prediction, and Clustering. Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch, langchain). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Involvement with the Data Science community through platforms such as Kaggle, Numerai, Open ML, or others. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level: Bachelor’s Degree or Master’s Degree or equivalent Experience Level: Beginner

Location: Remote/Hybrid Duration: 3 Months PPO Opportunity: High-performing interns may be offered full-time roles Stipend: • Month 1 – Unpaid (Training & Evaluation Phase) • Month 2 & 3 – Performance-based stipend (aligned with industry standards) 🧠 About Us We are an emerging EdTech startup passionate about transforming how students and professionals learn cutting-edge technologies. Alongside delivering industry-relevant training and courses, we also work on real client projects that challenge and grow our team. As part of our mission, we’re now opening up exciting internship opportunities for those who want to learn by doing — and get exposure to AI and full-stack development in a real-world setting. 🌱 🔧 Responsibilities 👨‍💻 Work on internal & client-based AI/web development projects 🌐 Maintain and enhance our course and company websites 🤖 Explore and integrate ML/AI tools in real-time features 🧱 Build full-stack features from scratch — independently and collaboratively 📚 Research, experiment, and implement new technologies 💬 Join team discussions, share ideas, and help shape products ✅ Qualifications ✅ HTML, CSS, JavaScript ✅ React.js, Node.js ✅ Understanding of REST APIs and basic full-stack development ✅ Eagerness to learn and adapt quickly ✅ Good team player with communication and problem-solving skills 🌟 Bonus (Preferred, Not Mandatory) Experience with TypeScript or Next.js Exposure to AI/ML libraries like TensorFlow, PyTorch, OpenAI, Hugging Face, or LangChain. 🔍 You Should Apply If You… Are a final-year student, fresher, or self-learner interested in tech, Want to learn by building real-world projects, Are comfortable working in a startup with less supervision, Can take ownership and solve problems on your own, Want to be part of a growing edtech startup, Are looking for a chance to convert the internship into a full-time role. If you're excited to build impactful products, learn AI, and grow your career in tech—we’d love to hear from you! 🚀 👉 Apply now and start your journey with us!

🌟 What Will You Really Do? Build Real Things: Architect, code, debug, and deploy across web, mobile, and AI-driven platforms—shipping features that make “digital construction” real. AI in the Wild: Prototype, implement, and iterate on smart tools—AI copilots, data extraction engines, predictive models, bots, and recommendations that actually get used by teams on-site and off. Mentor in the Trenches: Lead by example—review PRs, brainstorm, pair-program, and help your fellow devs level up (no Gantt charts or middle management fluff). Problem-Solve Fast: Tackle big, messy, real-world challenges in construction/manufacturing, and spin up proof-of-concepts (using Python, Node, React, or whatever works). Collaborate Across Worlds: Work with founders, designers, engineers, and even folks on the shop floor—translating ideas between code, hard hats, and high-rises. Push Innovation: Stay obsessed with new tools—integrate with everything from Autodesk to AWS to cutting-edge AI APIs (think GPT and what comes next). Ship, Test, Repeat: Prioritize code that works over endless process—if it helps builders build, it belongs in prod. 🧠 What Do You Bring? Proven coder: You’ve shipped serious web/mobile/AI-powered stuff—React, Node.js, Python, Java, or similar (bonus for ML or IoT integration). Deep engineering skills: Data structures, algorithms, design patterns, scalable architecture, debugging, and smart system design are your bread and butter. API wrangler: RESTful APIs, database design (SQL/NoSQL), and cloud wizardry (AWS, Azure, GCP) get you pumped. Hacker’s heart: “Let’s hack a prototype!” is your go-to—whether with code or AI playgrounds. Skills: ai/ml,restful apis,debugging,scalable architecture,design patterns,gcp,generative ai,aws,integration,database design,python,sql,react,java,node,machine learning,system design,azure,pytorch,react.js,ml,tensorflow,nosql,algorithms,ai/ml frameworks,genai,iot,node.js,iot integration,data structures,rag

🌟 What Will You Really Do? Build Real Things: Architect, code, debug, and deploy across web, mobile, and AI-driven platforms—shipping features that make “digital construction” real. AI in the Wild: Prototype, implement, and iterate on smart tools—AI copilots, data extraction engines, predictive models, bots, and recommendations that actually get used by teams on-site and off. Mentor in the Trenches: Lead by example—review PRs, brainstorm, pair-program, and help your fellow devs level up (no Gantt charts or middle management fluff). Problem-Solve Fast: Tackle big, messy, real-world challenges in construction/manufacturing, and spin up proof-of-concepts (using Python, Node, React, or whatever works). Collaborate Across Worlds: Work with founders, designers, engineers, and even folks on the shop floor—translating ideas between code, hard hats, and high-rises. Push Innovation: Stay obsessed with new tools—integrate with everything from Autodesk to AWS to cutting-edge AI APIs (think GPT and what comes next). Ship, Test, Repeat: Prioritize code that works over endless process—if it helps builders build, it belongs in prod. 🧠 What Do You Bring? Proven coder: You’ve shipped serious web/mobile/AI-powered stuff—React, Node.js, Python, Java, or similar (bonus for ML or IoT integration). Deep engineering skills: Data structures, algorithms, design patterns, scalable architecture, debugging, and smart system design are your bread and butter. API wrangler: RESTful APIs, database design (SQL/NoSQL), and cloud wizardry (AWS, Azure, GCP) get you pumped. Hacker’s heart: “Let’s hack a prototype!” is your go-to—whether with code or AI playgrounds. Skills: generative ai,ai/ml frameworks,tensorflow,aws,ai/ml,ml,machine learning,pytorch,react.js,python,genai,integration,node,java,rag,iot,sql

About Impetus Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. Job Role- Data Scientist Experience- 3.5+ years- 15 years Locations- Indore, Bangalore, Pune, Gurgaon, Noida, Hyderabad Job Description Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular. Implementing and fine tuning the AI- generated text prompts using LLMs (eg:-GPT4) Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Usecase derivation and solution creation from structured/unstructured data Story telling, Business communication and Documentation Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure and Databricks Optional - Big Data -Basic knowledge on Spark, Hive Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructured data sets. Develop Cloud based applications including LLM/GenAI and deploy them into production. Qualification Degree – Graduates/Postgraduate in CSE/IT or related field

Job Title: Python (AI/ML Engineer) (3–4 Years Experience) Location: Onsite – Surat (Local Candidates Only) Job Type: Full-Time Apply at: hrd.kukamitechnology@gmail.com Key Responsibilities: - Design, develop, and deploy machine learning models for real-world applications - Analyze large datasets to extract actionable insights - Build, train, and fine-tune algorithms (classification, regression, clustering, NLP, etc.) - Integrate AI/ML models with existing web/mobile applications - Collaborate with developers and designers to deliver intelligent features - Stay updated with the latest research and industry trends in AI/ML Required Skills: - Strong programming skills in Python and experience with Pandas, NumPy, Scikit-learn - Hands-on with TensorFlow, PyTorch, or other deep learning frameworks - Knowledge of Natural Language Processing (NLP), Computer Vision, or Recommendation Systems - Experience with data preprocessing, model evaluation, and optimization - Understanding of REST APIs, cloud platforms (AWS, GCP, or Azure is a plus) Job Type: Full-time Pay: ₹550,000.00 - ₹700,000.00 per year Education: Bachelor's (Preferred) Experience: AI/ML Engineer: 4 years (Required) Language: English (Required) Location: Vesu, Surat, Gujarat (Required) Work Location: In person

About Eeki Founded in 2018, Eeki is dedicated to transforming the agricultural landscape through innovative technology. We specialize in cultivating a wide range of nutritious and chemical free vegetables, achieving a remarkable 1800% higher yield across barren lands while conserving 90% of water. Our mission is to establish climate-proof farms using cutting-edge growing chambers, medium-less cultivation, and advanced IoT mechanisms to enhance sustainability and revolutionize the way we grow vegetables. Responsibilities: · Design and test embedded hardware interfaces for sensors and communication modules. · Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. · Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. · Oversee board bring-up activities including debugging and validation. · Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. · Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. · Plan project budgets and define test strategies, including firmware development, field testing, and validation. ·Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). · Define manufacturing strategies and establish end-to-end logistics operations. · Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. · Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: · Embedded Linux, UART, I2C, SPI · Power optimization and signal integrity · PCB bring-up, debugging, and validation · Jetson Nano, Raspberry Pi, and other SBCs · Hardware integration of edge AI systems · Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Location - Gurgaon Experience required is 4yrs + Job Title: Manufacturing & Field Deployment Lead Responsibilities: · Develop low-level firmware for precise control and interfacing of sensors and camera modules. · Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. · Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. · Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. · Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: · C/C++ for embedded firmware · Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) · Connectivity protocols (MQTT, HTTP, custom serial protocols) · OTA frameworks and secure firmware updates · Power profiling and low-power design techniques Location - Kota,Rajasthan ( need to travel to farm sites on daily basis) Experience - 0 -2years

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Head of Engineering, AI Safety Services Enable responsible AI innovation at the speed of progress. The impact you'll make Accelerate responsible innovation by providing world-class AI safety services that allow our customers to quickly deploy new models and applications without compromising on safety. Influence the industry by establishing best practices, scalable tools, and clear benchmarks that set the standard for AI safety. Drive customer success through tools and platforms that integrate seamlessly into customer workflows, enabling safe and rapid innovation. What You'll Do Lead and inspire your team (AI engineers, platform engineers, and a product manager): Set clear goals, mentor team members, and foster a culture of impact, collaboration, and rapid learning. Implement agile processes that prioritize speed without sacrificing quality or security. Collaborate closely with customers to understand and address their AI safety challenges: Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements. Translate customer needs into actionable roadmaps aligned with their innovation cycles. Deliver tools and services that ensure AI applications are aligned, robust, interpretable, and safe: Oversee the development of platforms for alignment assessments, adversarial testing, drift detection, and interpretability analysis. Make informed build vs. buy decisions to optimize speed and customer integration. Champion engineering excellence in a high-stakes environment: Establish and enforce secure coding practices, automation, monitoring, and infrastructure-as-code. Ensure system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards. Continuously innovate within AI safety methodologies: Keep current with cutting-edge research in AI safety, adversarial testing, and model evaluation. Pilot emerging techniques that enhance our offerings and accelerate customer deployments. Experiences You'll Bring 5+ years of experience in software engineering, with at least 2 years managing technical teams or complex projects. Proven track record delivering AI, ML, or data-intensive platforms or services (e.g., model evaluation platforms, MLOps systems, AI safety tools). Demonstrated success in team leadership, coaching, and talent development. Excellent cross-functional collaboration and communication skills, bridging technical concepts with customer value. Technical Skills You'll Need Proficiency with common software languages, frameworks, and tools such as Python, TensorFlow, PyTorch, Docker, Kubernetes, JavaScript, HTML/CSS, REST APIs, and SQL/noSQL databases Expertise with cloud environments such as AWS, GCP, or Azure. Familiarity with LLM architectures, including evaluation techniques, prompt engineering, and adversarial testing methodologies. Preferred technical experience: exposure to platforms like LangChain, LangGraph; experience with distributed systems (Spark/Flink); familiarity with AI regulatory frameworks or secure deployment standards (e.g., SOC 2, ISO 27001). Why you'll love this role Purpose-driven work: Contribute meaningfully to a safer AI future while enabling groundbreaking innovation. Strategic visibility: Directly impact high-profile AI safety initiatives with industry-leading customers. Growth opportunities: Collaborate with top-tier AI talent and help shape an emerging industry. Supportive culture: Enjoy competitive compensation, flexible work arrangements, and significant investment in your professional and personal growth. Ready to ensure AI moves fast-and stays safe? Join us and shape the future of responsible AI innovation. How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2508_10545_3 Posted At: Tue Aug 05 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

Position Overview: We are looking for a highly skilled and experienced Senior AI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record of building and deploying scalable AI models in real-world applications. Key Responsibilities: Design, develop, and deploy scalable AI/ML models and algorithms for real-time or batch processing applications. Collaborate with cross-functional teams including data engineering, software development, and product management to integrate AI solutions into products. Conduct in-depth research and experimentation to improve model performance and develop new approaches using state-of-the-art techniques. Evaluate and optimize ML models for speed, accuracy, and scalability. Maintain and improve existing ML infrastructure, pipelines, and toolkits. Mentor junior developers and contribute to AI/ML best practices and standards. Stay current with the latest research and developments in the AI/ML space. Required Skills and Qualifications: 6+ years of experience in and deploying machine learning and AI solutions. Strong programming skills in Python (with libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.). Solid understanding of machine learning algorithms , statistical modelling , data preprocessing , and feature engineering . Experience in building and tuning deep learning models (CNNs, RNNs, Transformers, etc.). Proficiency in working with cloud platforms (AWS, GCP, Azure) and ML Ops tools (MLflow, Kubeflow, etc.). Experience with big data technologies (e.g., Spark, Hadoop) and data pipelines . Strong problem-solving skills and ability to translate business needs into technical solutions. Familiarity with model explainability , bias mitigation , and responsible AI practices. Experience in natural language processing (NLP) , computer vision , or recommendation systems . Familiarity with containerization and orchestration tools (Docker, Kubernetes). Published papers or contributions to open-source ML/AI projects. Certifications (Good to have any) Google Professional Machine Learning Engineer Microsoft Certified: Azure AI Engineer Associate AWS Certified Machine Learning – Specialty TensorFlow Developer Certificate Experience: 6+ years of experience in and deploying machine learning and AI solutions. Educational Qualification(s): Bachelor’s in computer science, Machine Learning, Data Science, or a related field. To know our Privacy Policy, please click on the link below or copy paste the URL on your browser: https://gedu.global/wp-content/uploads/2023/09/GEDU-Privacy-Policy-22092023-V2.0-1.pdf

Job Title: Applied AI Builder (AI/GenAI/ML Engineer) Experience: 3+ Years Location: Gurugram (Work from Office) Availability: Immediate Joiner About the Role: We are seeking a passionate and hands-on Applied AI Builder to join our team and drive innovation at the intersection of Generative AI, Machine Learning , and Cloud technologies . This role is ideal for someone with a strong foundation in ML/AI, practical experience with LLMs and GenAI frameworks , and a desire to solve real-world problems using cutting-edge tools and techniques. As an Applied AI Builder, you’ll work on designing, developing, and deploying AI solutions across multiple domains, leveraging state-of-the-art models and frameworks. You will collaborate with cross-functional teams to build scalable applications that integrate GenAI, RAG (Retrieval-Augmented Generation), and vector-based search. Key Responsibilities: Design and develop AI/GenAI applications using LLMs and frameworks like LangChain, Haystack , etc. Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Build, fine-tune, and deploy ML and DL models using PyTorch, TensorFlow , or JAX . Develop robust, production-ready code in Python with reusable and scalable modules. Optimize and deploy models on cloud platforms such as AWS, GCP, or Azure . Collaborate with data engineers, product managers, and designers to deliver AI-driven features and services. Stay current with the latest research and advancements in GenAI, LLMs, and emerging ML technologies. Required Skills & Experience: 3+ years of hands-on experience in Machine Learning, Deep Learning , and Python programming . Strong exposure to Generative AI and working with Large Language Models (LLMs) . Experience with Prompt Engineering , LangChain , or Haystack . Proficiency with vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus). Solid understanding of RAG-based architectures and semantic search. Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying AI models at scale. Experience with at least one deep learning framework: PyTorch , TensorFlow , or JAX . Good to Have: Experience building AI-based chatbots or intelligent agents. Knowledge of model optimization techniques (quantization, pruning, distillation). Exposure to MLOps tools and workflows for scalable AI deployment. Published work, open-source contributions, or participation in AI competitions (e.g., Kaggle, Hugging Face). Why Join Us? Work at the forefront of AI and Generative AI innovation . Build impactful, production-grade solutions that are deployed and used at scale. Collaborate with a highly skilled, passionate team in a fast-paced and agile environment . Opportunity for rapid growth and working on real-world AI applications across industries.

At Communication Crafts, we are a fusion of creativity and technology, delivering innovative solutions that drive businesses forward. With a strong foundation in cutting-edge technology, we combine our technical expertise with a creative mindset to solve complex challenges and deliver exceptional results. We offer services like digital product development, custom software development, mobile application development, API integration, Frontend development and web application development. Functioning from a sprawling 28,000 sq. ft. office on Sindhu Bhavan Road, Ahmedabad, our team of 220+ creative, technical and support professionals are handpicked and moulded as per CC culture code. Established in 2005, almost 20 years since then, Communication Crafts caters to an enviable clientele across sectors and geographies. To know more about the company please visit https://communicationcrafts.com/?cc=com Summary: We are seeking an experienced AI Engineer with 4 to 5 years of experience to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning technologies, as well as a proven track record of developing innovative solutions. Roles and Responsibilities: - Design and develop AI algorithms and models to solve complex business problems - Implement and optimize machine learning algorithms for real-time applications - Collaborate with cross-functional teams to integrate AI solutions into existing systems - Conduct research and stay up-to-date on the latest advancements in AI technology - Provide technical guidance and mentorship to junior team members - Participate in code reviews and contribute to the overall software development process Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field - 4 to 5 years of experience in AI development - Strong programming skills in languages such as Python, Java, or C++ - Experience working with Langchain, LangGraph, and vector databases (e.g., Pinecone, ChromaDB, FAISS). - Hands-on experience with Hugging Face ecosystem including transformers etc. - Proficiency in model serving and deployment, using tools like FastAPI, Hugging Face Inference Endpoints, or AWS SageMaker for scalable and production-grade AI applications. - Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and tokenization/token-level optimization. - Proven experience with fine-tuning and deploying LLMs (e.g., LLaMA, Mistral, Falcon, OpenAI, or Hugging Face Transformers). -Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn - Knowledge of cloud computing platforms such as AWS or Azure - Excellent problem-solving and analytical skills - Strong communication and teamwork abilities

Key Responsibilities: Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Conduct rigorous testing and evaluation of agent behaviors, decision-making, and performance. Must-Have Qualifications: Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Meta’s LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs.

Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Must Have Skills Solid understanding of python Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX Experience with natural language processing (NLP) and machine learning (ML) Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Familiarity with Prompt Design and prompt tuning for Generative AI models Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI Exposure and familiarity in using BigQuery (Basic understanding) Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain

About Dailoqa Dailoqa’s mission is to bridge human expertise and artificial intelligence to solve the challenges facing financial services. Our founding team of 20+ international leaders, including former CIOs and senior industry experts, combines extensive technical expertise with decades of real-world experience to create tailored solutions that harness the power of combined intelligence. With a focus on Financial Services clients we have deep expertise across Risk & Regulations, Retail & Institutional Banking, Capital Markets, and Wealth & Asset Management. Dailoqa has global reach in UK, Europe, Africa, India, ASEAN, and Australia. We integrate AI into business strategies to deliver tangible outcomes and set new standards for the financial services industry. Working at Dailoqa will be hard work, our environment is fluid and fast-moving and you'll be part of a community that values innovation, collaboration, and relentless curiosity. We’re looking at people who : Are proactive, curious adaptable, and patient Shape the company's vision and will have a direct impact on its success. Have the opportunity for fast career growth. Have the opportunity to participate in the upside of an ultra-growth venture. Have fun 🙂 Don’t apply if: You want to work on a single layer of the application. You prefer to work on well-defined problems. You need clear, pre-defined processes. You prefer a relaxed and slow paced environment. Our Philosophy Small team : Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. Customer obsessed: We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. About the Role We are looking for AI and Machine Learning engineer who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to Work directly with our founding team and be a core member. Apply the latest AI techniques to solve real problems faced by Financial Services clients. Design, build, and refine datasets to evaluate and continuously improve our solutions. Participate in strategy and product ideation sessions, influencing our product and solution roadmap. Key Responsibilities Agentic AI Development : Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. AI Research and Innovation : Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Technical Expertise : Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. LLM and NLP Experience : Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. Dataset Development : Strong track record of building datasets for training and/or evaluating machine learning models. Customer Focus : Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. Adaptability : Thrive in a fast-paced environment and are excited about joining an early-stage venture. Model Deployment and Management : Automate model deployment, monitoring, and retraining processes. Collaboration and Optimization : Collaborate with data scientists to review, refactor, and optimize machine learning code. Version Control and Governance : Implement version control and governance for models and data. Required Qualifications: Bachelor's degree in computer science, Software Engineering, or a related field 4-8 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: Experience with experiment tracking and model versioning tools You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect Familiarity with software testing and test automation practices Understanding of ethical considerations in machine learning deployments Strong problem-solving skills and ability to work in a fast-paced environment

Job Title: Data Scientist Engineer Location: Noida Experience: 6- 10years Mode: 6 month + contract Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation Responsibility : Model Development: Design and implement ML models to tackle complex business challenges. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability. Deployment: Deploy ML models in production, monitor performance for reliability. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions. Research: Stay updated on ML/AI advancements, contribute to internal knowledge. Documentation: Maintain comprehensive documentation for all ML models and processes. • Qualification - Bachelor's or master’s in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years. • Desirable Skills: Must Have 1. Experience in timeseries forecasting, regression Model, Classification Model 2. Python , R, Data analysis 3. Large size data handling with Panda , Numpy and Matplot Lib 4. Version Control: Git or any other 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering Estimation Good to Have Experience with Big Data and analytics using technologies like Hadoop, Spark, etc. Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks. BFSI and banking domain

ONLY APPLY ! if you have Master’s degree in Computer Science or Computational Finance from a U.S. university (mandatory). Who We Are At Dolat Capital, we’re a team of traders, tech enthusiasts, and problem solvers driven by a passion for markets and innovation. We specialize in ultra-low latency market-making and active trading across Equities, Futures, and Options. With top-tier fill rates and cutting-edge technology, we thrive where finance meets engineering. Responsibilities Quant Trading & Strategy – Design and optimize high-performance strategies for derivatives, options, and ETFs. Monitor PnL and Sharpe ratios (6+), while actively identifying market inefficiencies in real time. Trading Systems Development – Build low-latency, high-throughput systems and simulation tools. Focus on fast execution, real-time risk, and performance tracking. Algo & Quant Analysis – Use statistical methods and large-scale HFT data (Python/C++) to validate and refine strategies in live environments. AI/ML Integration – Develop AI/ML models for signal detection, alpha generation, and market prediction using large datasets. System & Network Optimization – Enhance system performance with deep expertise in concurrent programming, TCP/UDP, and network protocols. Collaboration & Mentorship – Work closely with traders, engineers, and data scientists. Represent Dolat in tech mentorship and campus events. Qualifications Education : B.Tech in Computer Science/IT and a Master’s degree in Computer Science or Computational Finance from a U.S. university (mandatory) . Strong grasp of data structures, algorithms , and object-oriented programming (C++). 1-2 years of experience. Proficient in Python and C++ , with hands-on experience in Linux systems programming . Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with distributed systems and high-concurrency architectures . Solid understanding of network programming , including TCP/UDP protocols. Excellent analytical and problem-solving abilities, with a passion for technology-driven innovation in financial markets.

Opening for Team Lead - Generative AI / AI-ML Specialist Role Overview: We’re seeking an experienced Data Scientist / Team Lead with deep expertise in Generative AI (GenAI) to design and implement cutting-edge AI models that solve real-world business problems. You’ll work with LLMs, GANs, RAG frameworks, and transformer-based architectures to create production-ready solutions across domains. Key Responsibilities: Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures for contextual responses and document intelligence Customize and fine-tune Large Language Models (LLMs) for domain-specific applications Build and maintain robust ML pipelines and infrastructure for training, evaluation, and deployment Collaborate with engineering teams to integrate models into end-user applications Stay current with the latest GenAI research, open-source tools, and frameworks Analyze model outputs, evaluate performance, and ensure ethical AI practices. Required Skills: Strong proficiency in Python and ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, RAG, GANs, Autoencoders, and other GenAI architectures Experience with fine-tuning models using LoRA, PEFT, or similar techniques Familiarity with Vector Databases (e.g., FAISS, Pinecone) and embedding generation Experience working with datasets, data preprocessing, and synthetic data generation Good knowledge of NLP, prompt engineering, and language model safety Experience with APIs, model deployment, and cloud platforms (AWS/GCP/Azure) Nice to Have: Prior work with Chatbots, Conversational AI, or AI Assistants Familiarity with LangChain, LLMOps, or Serverless Model Deployment Background in MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines Knowledge of OpenAI, Anthropic, Google Gemini, or Meta LLaMA models What We Offer: An opportunity to work on real-world GenAI products and POCs Collaborative environment with constant learning and innovation Competitive salary and growth opportunities 5-day work week with a focus on work-life balance Work from office Job Types: Full-time, Permanent Pay: Up to ₹1,600,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Position Overview: We are looking for a motivated Fresher Machine Learning/AI Engineer to join our team. This role offers an exciting opportunity for recent graduates or individuals with limited experience to begin their career in the field of machine learning and artificial intelligence. You will work alongside experienced professionals and contribute to impactful projects. Location: Nagpur (Maharashtra) Key Responsibilities:  Assist in developing and implementing machine learning models and algorithms.  Collaborate with data scientists and engineers to gather, preprocess, and analyze data.  Help optimize and fine-tune existing machine learning models.  Contribute to the design and deployment of AI-powered applications.  Learn and apply best practices in machine learning model development and evaluation.  Stay updated with the latest advancements in machine learning and AI technologies.  Assist in collecting, organizing, and analysing data from various sources.  Collaborate with team members to support data-driven decision-making.  Stay updated with industry trends and best practices in data analytics.  Collaborate with senior developers and project stakeholders to understand project requirements and objectives.  Keep up-to-date with emerging technologies and industry trends. Qualifications:  Bachelor’s degree in Computer Science, Data Science, Machine Learning & AI Engineering, Mathematics, or related field (or currently pursuing the degree).  Basic understanding of machine learning concepts and algorithms.  Familiarity with programming languages such as Python, R, or Java.  Knowledge of machine learning libraries/frameworks (e.g., TensorFlow, PyTorch) is a plus. Job Type: Full-time Pay: ₹10,000.00 - ₹18,000.00 per year Work Location: In person

Company Description KPIT Technologies is a global partner in the automotive and mobility ecosystem, dedicated to making software-defined vehicles a reality. As an independent software development and integration partner, KPIT is at the forefront of driving the transition towards a cleaner, smarter, and safer future. With over 11,000 experts globally, specializing in embedded software, AI, and digital solutions, KPIT accelerates the implementation of next-generation technologies. The company operates engineering centers in Europe, the USA, Japan, China, Thailand, and India, collaborating with industry leaders to drive innovation in mobility. Kindly view the below mentioned job roles for CTO. Only eligible candidates should apply for the roles. Do not apply if already done. ***Please share DOB and PAN for applying jobs in India, as per company policy. JOB OPENINGS:- CTO_Full Stack Dev and Lead - CTO_Full Stack Dev and Lead:- Sr. Team Lead(3 to 12 yrs Exp.) Job Requirement Details MANDATORY SKILLS reactjs,nodejs,Javascript PREFERRED SKILLS Microservices JOB DESCRIPTION Experience working in application design and development (ReactJS / Angular, Java / NodeJS, Python, Database) Mandatory Skills JavaScript, jQuery ReactJS 16 and above, NodeJS / Java, SQL, Micro services, HTML 5, CSS3 & sass, Bootstrap 4, Docker Guide and Mentor developers. Resolve technical challenges. Perform code reviews. Requirement gathering, convert requirements into technical tasks Architecting and building customer-facing web applications Design, build and maintain efficient and reusable UI components Design and implement micro service-based application Database design. Hands on experience of working with SQL and NoSQL databases Docker based deployment of application Comfortable working on both the front-end and back-end of web applications. Familiarity developing within MVC frameworks. Strong interpersonal, communication, and teamwork skills. CTO_Python Dev and Lead - CTO_Python Dev and Lead:- Sr. Team Lead(3 to 13 yrs Exp.) Job Requirement Details MANDATORY SKILLS Python ,REST API,SQL,RabbitMQ,CI/CD JOB DESCRIPTION We are seeking an experienced Python Developer who will oversee a team of skilled engineers while being actively involved in the development of cutting-edge AI solutions. The role requires a blend of technical expertise, leadership ability, and hands-on development skills. The Tech Lead will guide the team through complex projects using Agile, ensuring that all solutions are scalable, maintainable, and of the highest quality. Through mentorship, effective communication, and a passion for innovation, the Tech Lead will drive the team to achieve its full potential and deliver outstanding results. Required skills · Python backend development (3+ years) · REST API development expertise · SQL database proficiency and optimization · Knowledge of design patterns for different scenarios (e.g., pub/sub for async processing, microservices for scalability) · Experience with message brokers (RabbitMQ) and task queues (Celery) · Strong analytical thinking and problem-solving abilities · Experience with containerization and CI/CD workflows Responsibilities · Design and develop backend services for internal tooling platforms · Create scalable APIs and optimize database performance · Select and implement appropriate architectures based on use case requirements · Integrate applications with GenAI services (Azure OpenAI, AWS Bedrock) · Build enterprise-grade solutions for various business applications CTO_AI Application Architect - CTO_AI Application Architect:-Architect(13 to 17 yrs Exp.)  Job Requirement Details MANDATORY SKILLS Artificial Intelligence,Machine Learning JOB DESCRIPTIONAI Application Architect Job Summary: We are seeking an experienced AI Application Architect to lead the design and development of artificial intelligence (AI) and machine learning (ML) applications across the organization. The successful candidate will have a strong background in software architecture, AI/ML, and cloud computing, with a proven track record of delivering scalable and secure AI applications. The AI Application Architect will work closely with cross-functional teams, including data science, engineering, and product management, to design and implement AI solutions that drive business value. Key Responsibilities: Architecture and Design: Develop and maintain a deep understanding of the organization's AI strategy and architecture, and design scalable and secure AI applications that meet business requirements. AI/ML Solution Development: Collaborate with data scientists and engineers to develop and deploy AI/ML models and applications, using technologies such as deep learning, natural language processing, and computer vision. Cloud Computing: Design and implement AI applications on cloud platforms, such as AWS, Azure, or Google Cloud, and ensure scalability, security, and compliance. Technology Evaluation: Evaluate and recommend new AI/ML technologies, tools, and frameworks, and develop proof-of-concepts to demonstrate their value. Collaboration and Leadership: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure that AI applications meet business requirements and are delivered on time. Security and Compliance: Ensure that AI applications are designed and implemented with security and compliance in mind, and that all relevant regulations and standards are met. Monitoring and Optimization: Monitor AI application performance, identify areas for optimization, and develop strategies to improve efficiency and effectiveness. Requirements: Technical Skills: Programming languages: Python, Java, C++, etc. AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc. Cloud platforms: AWS, Azure, Google Cloud, etc. Containerization: Docker, Kubernetes, etc. Security and compliance: GDPR, HIPAA, etc. Soft Skills: Strong communication and collaboration skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving and analytical skills.

Job Title: AI/ML Engineer Experience: 3+ years Location: Ahmedabad, India Type: Full-time (Work from Office) Job Description: We are looking for passionate and skilled AI/ML Engineers to join our dynamic team. As an AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning models, AI-based solutions, and data-driven algorithms to solve complex business problems. If you have a solid foundation in AI/ML technologies and are eager to work in a collaborative and innovative environment, we would love to hear from you! Key Responsibilities: • Work on data preprocessing, feature engineering, and model selection. • Apply AI/ML techniques to large datasets to generate actionable insights. • Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes. • Continuously improve the performance of AI/ML models by experimenting with new approaches and technologies. • Evaluate the effectiveness and accuracy of AI/ML models and adjust based on results. • Conduct data analysis and prepare reports to communicate findings to stakeholders. • Stay updated with the latest advancements in AI/ML technologies and incorporate them into the development process. Skills & Qualifications: • Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. • 3+ years of hands-on experience in machine learning, deep learning, and artificial intelligence. • Strong proficiency in programming languages such as Python, R, or Java. • Experience with ML frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. • Solid understanding of machine learning algorithms like regression, classification, clustering, etc. • Familiarity with data analysis and visualization tools • Experience working with big data platforms (e.g., Hadoop, Spark) is a plus. • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. • Excellent communication skills to explain complex concepts to non-technical stakeholders.