10057 Tensorflow Jobs - Page 2

Job description Softvision College is seeking a highly motivated and qualified individual to join our team as an Assistant Professor in Computer Science department. The applicant must fulfill the norms of UGC/ AICTE and must have a strong academic background in computer science, a passion for teaching, and the ability to inspire and guide students towards academic excellence. Qualification: · A Master's degree (MCA / M.Tech / ME / M.Sc ) in Computer Science, Artificial Intelligence, Data Science, or a related field.PhD/NET/SET candidates will be given preference · Prior teaching experience at the undergraduate level, preferably in a BCA program. Job Details : 3+ years of experience in AI/ML development or instruction / training roles. Deep understanding of Agentic AI frameworks (e.g., Auto-GPT, BabyAGI, LangGraph, CrewAI) and Agentic AI systems (e.g., autonomous agents, multi-agent collaboration) Proficient in programming languages such as Python and frameworks, libraries like TensorFlow, PyTorch, LangChain, etc. Experience with LLM-based tools, APIs, and platforms (e.g., OpenAI, Anthropic, Hugging Face). Excellent communication, presentation, and instructional skills. · Good Command over subject. · Must have flair for English Language. · Must engage students in beyond curriculum teaching. Minimum years of experience : 0-2 years Name of college: Softvision College, World cup square, Indore(MP) Contact on: 9826424012, 9009571860 E-mail: Principal@softvision.co.in Job Type: Full-time Pay: From ₹20,000.00 per month Education: Master's (Preferred) Experience: Teaching: 1 year (Preferred) total work: 1 year (Preferred) Work Location: In person

Job Title: AI Engineer Location: Nipaniya , Indore Experience: 2–4 Years Industry: Information Technology Employment Type: Full-Time Job Summary: We are seeking a skilled and innovative AI Engineer to join our IT company and drive the development of intelligent systems and solutions. The ideal candidate will be responsible for designing, building, and deploying artificial intelligence models and machine learning algorithms to solve real-world problems across various industries. As an AI Engineer, you will work closely with data scientists, software developers, and business teams to create AI-powered applications, optimize performance, and ensure seamless integration into existing platforms. Key Responsibilities: Design and implement AI and machine learning models tailored to business requirements. Process, analyze, and interpret large datasets to identify patterns and trends. Develop, test, and deploy scalable machine learning pipelines and AI systems. Collaborate with cross-functional teams to integrate AI models into applications and products. Conduct research to stay up to date with the latest AI technologies, frameworks, and tools. Evaluate and improve the performance, accuracy, and efficiency of AI models. Document technical processes and maintain model version control. Key Skills & Requirements: Proven experience in AI/ML model development and deployment Strong programming skills in Python, R, or Java Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Familiarity with data preprocessing, feature engineering, and model evaluation techniques Knowledge of cloud platforms (AWS, Azure, GCP) is a plus Excellent problem-solving and communication skills Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Job Type: Full-time Pay: ₹15,446.64 - ₹40,286.01 per month

Job Title: AI Ml Developer (1-4 Years Experience) Location: Full-Time (On-Site), GOHASHINCLUDE PRIVATE LIMITED Nirman Nagar E, P.No.-31, 1st Floor, Shree Krishna Tower, Ajmer Road, Opp. Asopa Hospital, Jaipur, Rajasthan – 302024. Google Form Link: Before proceeding further with your application, we kindly request you to fill out the following form with your basic details: https://forms.gle/KfzevYscowzfeQNL7 Key Responsibilities: Backend Development: Design, develop, and maintain scalable backend systems using Python (Django/Flask). Build RESTful APIs for web and mobile applications. Optimize application performance, security, and responsiveness. AI/ML Integration: Work on machine learning model development and deployment. Implement data pipelines and integrate ML models into production environments. Collaborate on AI-driven solutions like recommendation engines, data analysis tools, or chatbots. Database & Cloud: Design and manage databases using PostgreSQL, MySQL, or MongoDB. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Version control using Git and deployment experience on Linux environments. Collaboration & Documentation: Work closely with frontend, design, and product teams to meet project goals. Write clean, maintainable code and proper technical documentation. Participate in code reviews and knowledge-sharing sessions. Required Skills & Qualifications: 1 to 4 years of professional experience in Python-based development. Proficient in Django and/or Flask frameworks. Strong understanding of OOPs, REST API design, and MVC architecture. Hands-on experience in AI/ML projects (using libraries like scikit-learn, TensorFlow, or PyTorch). Working knowledge of Git, Docker, and deployment practices. Good problem-solving skills and the ability to work independently. Good to Have (Optional): Exposure to FastAPI or Celery. Familiarity with DevOps tools (CI/CD pipelines, Docker). Experience with NLP, computer vision, or data analytics. Understanding of frontend basics (HTML, JS) for API testing and integration. Employment Type: Full-Time (On-Site) — Monday to Friday (Flexible Hours) How to Apply: Send your updated resume to hr@gohashinclude.com Subject Line: “Application for AI Ml Developer | [Your Name]” Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Paid time off Experience: Django: 2 years (Required) Flask: 2 years (Required) AI: 2 years (Required) ML: 2 years (Required) Python: 2 years (Required) Back-end development: 2 years (Required) Node.js: 2 years (Preferred) React: 2 years (Preferred) MongoDB: 2 years (Preferred) Work Location: In person

The Microsoft CoreAI Post-Training team is dedicated to advancing post-training techniques for both OpenAI and open-source models. Our work spans continual pre-training, fine-tuning, reinforcement learning at scale, and data curation. We contribute to both research and product development across Microsoft. We build and deploy cutting-edge AI technologies that integrate language and multi-modality into Microsoft products. Our team is especially active in developing code-focused models, such as those powering GitHub Copilot and Visual Studio Code. We are looking for a Machine Learning Engineer with a strong foundation in ML systems and a passion for deploying large-scale models in production. This role is ideal for someone who has experience working with LLMs or multimodal models and is eager to grow their expertise in building scalable, reliable ML infrastructure. Responsibilities Responsibilities Collaborate with senior engineers and researchers to build and optimize training and inference pipelines for LLMs, SLMs, multimodal, and code-specific models. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and maintainable code for ML systems. Help improve inference performance, reliability, and scalability. Participate in rapid experimentation cycles and support integration with Microsoft products. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 2+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow. Hands-on experience with training or fine-tuning LLMs or multimodal models. Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring. Understanding of distributed systems and cloud-based infrastructure. Preferred Qualifications Experience with containerization tools (e.g., Docker, Kubernetes). Exposure to MLOps or DevOps practices (CI/CD, automated testing, deployment). Interest in generative AI and open-source model ecosystems. Ability to work in a fast-paced, collaborative environment with a growth mindset. Strong communication and documentation skills. #AI Platform Hiring# Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Introduction IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software which are the building blocks for next-generation IT infrastructure of enterprise customers and data centers. IBM Servers provide best-in-class reliability, scalability, performance, and end-to-end security to handle mission-critical workloads and provide seamless extension to hybrid multicloud environments. India Systems Development Lab (ISDL) is part of word-wide IBM Infrastructure division. Established in 1996, the ISDL Lab is headquartered in Bengaluru, with presence in Pune and Hyderabad as well. ISDL teams work across the IBM Systems stack including Processor development (Power and IBM Z), ASCIs, Firmware, Operating Systems, Systems Software, Storage Software, Cloud Software, Performance & Security Engineering, System Test etc. The lab also focuses on innovations, thanks to the creative energies of the teams. The lab has contributed over 400+ patents in cutting edge technologies and inventions so far. ISDL teams also ushered in new development models such as Agile, Design Thinking and DevOps. Your Role And Responsibilities As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software & Cloud Software. As a Software Developer At ISDL: You will be focused on development of IBM Systems products interfacing with development & product management teams and end users, cutting across geos. You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products. You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers. You will be valued for your contributions in a growing organization with broader opportunities. At ISDL, work is more than a job - it's a calling: To build. To design. To code. To invent. To collaborate. To think along with clients. To make new products/markets. Not just to do something better, but to attempt things you've never thought was possible. Are you ready to lead in this new era of technology and solve some of the most challenging problems in Systems Software technologies? If so, let’s talk. Required Technical And Professional Expertise Required Technical Expertise: Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture. Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting. Comfortable in working with Github and leveraging Open source tools. AI Software Engineer: As a Software Engineer with IBM AI on Z Solutions teams, you will get the opportunity to get involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z. You will be part of end to end solutions working along with technically accomplished teams. You will be working as a Full stack developer starting from understanding client challenges to providing solutions using AI. Required Technical Expertise: Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills, Strong programming skills like – C, C++, R, Python, Go Lang and well versed with Linux platform. Strong understanding of Data Science, modern tools and techniques to derive meaningful insights Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc. Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch Understanding of Deep Learning Compilers (DLC) Natural Language Processing (NLP) skills Understanding of different CPU architectures (little endian, big endian). Familiar with open source databases PostGreSQL, MongoDB, CouchDB, CockroachDB, Redis, data sources, connectors, data preparations, data flows, Integrate, cleanse and shape data. IBM Storage Engineer: As a Storage Engineer Intern in a Storage Development Lab you would support the design, testing, and validation of storage solutions used in enterprise or consumer products. This role involves working closely with hardware and software development teams to evaluate storage performance, ensure data integrity, and assist in building prototypes and test environments. The engineer contributes to the development lifecycle by configuring storage systems, automating test setups, and analyzing system behavior under various workloads. This position is ideal for individuals with a foundational understanding of storage technologies and a passion for hands-on experimentation and product innovation. Preferred Technical Expertise: Practical working experience with Java, Python, GoLang, ReactJS, Knowledge of AI/ML/DL, Jupyter Notebooks, Storage Systems, Kubernetes, Container technologies, REST API, UI skills, Exposure to cloud computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Docker Deployment. Basic understanding of storage technologies: SAN, NAS, DAS Familiarity with RAID levels and disk configurations Knowledge of file systems (e.g., NTFS, ext4, ZFS) Experience with operating systems: Windows Server, Linux/Unix Basic networking concepts: TCP/IP, DNS, DHCP Scripting skills: Bash, PowerShell, or Python (for automation) Understanding of backup and recovery tools (e.g., Veeam, Commvault) Exposure to cloud storage: AWS S3, Azure Blob, or Google Cloud Storage Linux Developer: As a Linux developer, you would be involved in design and development of advanced features in the Linux OS for the next generation server platforms from IBM by collaboration with the Linux community. You collaborate with teams across the hardware, firmware, and upstream Linux kernel community to deliver these capabilities. Preferred Technical Expertise Excellent knowledge of the C programming language Knowledge of Linux Kernel internals and implementation principles. In-depth understanding of operating systems concepts, data structures, processor architecture, and virtualization Experience with working on open-source software using tools such git and associated community participation processes. Hardware Management Console (HMC) / Novalink Software Developer: As a Software Developer in HMC / Novalink team, you will work on design, development, and test of the Management Console for IBM Power Servers. You will be involved in user centric Graphical User Interface development and Backend for server and virtualization management solution development in Agile environment. Preferred Technical Expertise Strong Programming skills in in Core Java 8, C/C++ Web development skills in JavaScript (Frameworks such as Angular.js, React.js etc),, HTML, CSS and related technologies Experience in developing rich HTML applications Web UI Frameworks: Vaadin, React JS and UI styling libraries like Bootstrap/Material Knowledge of J2EE, JSP, RESTful web services and GraphQL API AIX Developer: AIX is a proprietary Unix operating system which runs on IBM Power Servers. It’s a secure, scalable, and robust open standards-based UNIX operating system which is designed to meet the needs of Enterprises class infrastructure. As an AIX developer, you would be involved in development, test or support of AIX OS features development or open source software porting/development for AIX OS Preferred Technical Expertise Strong Expertise in Systems Programming Skills (C, C++) Strong knowledge of operating systems concepts, data structures, algorithms Strong knowledge of Unix/Linux internals (Signals, IPC, Shared Memory,..etc) Expertise in developing/handling multi-threaded Applications. Good knowledge in any of the following areas User Space Applications File Systems, Volume Management Device Drivers Unix Networking, Security Container Technologies Linkers/Loaders Virtualization High Availability & clustering products Strong debugging and Problem-Solving skills Performance Engineer: As a performance Engineer , you will get an opportunity to conduct experiments and analysis to identify performance aspects for operating systems and Enterprise Servers. where you will be responsible for advancing the product roadmap by using your expertise in Linux operating system, building kernel , applying patches, performance characterization, optimization and hardware architecture to analyse performance of software/hardware combinations. You will be involved in conducting experiments and analysis to identify performance challenges and uncover optimization opportunities for IBM Power virtualization and cloud management software built on Open stack. The areas of work will be on characterization, analysis and fine-tune application software to help deliver optimal performance on IBM Power. Preferred Technical Expertise Experience in C/C++ programming Knowledge of Hypervisor, Virtualization concepts Good understanding of system HW , Operating System , Systems Architecture Strong skills in scripting Good problem solving, strong analytical and logical reasoning skills Familiar with server performance management and capacity planning Familiar with performance diagnostic methods and techniques Firmware Engineer: As a Firmware developer you will be responsible for designing and developing components and features independently in IBM India Systems Development Lab. ISDL works on end-to-end design, development across Power, Z and Storage portfolio. You would be a part of WW Firmware development organization and would be involved in designing & developing cutting edge features on the open source OpenBMC stack (https://github.com/openbmc/) and developing the open source embedded firmware code for bringing up the next generation enterprise Power, Z and LinuxONE Servers. You will get an opportunity work alongside with some of the best minds in the industry, forum and communities in the process of contributing to the portfolio. Preferred Technical Expertise Strong System Architecture knowledge Hands on programming skills with C, C++ , C on Linux Distros. Experience/exposure in Firmware/Embedded software design & development, Strong knowledge of Linux OS and Open Source development Experience with Open Source tools & scripting languages: Git, Gerrit, Jenkins, perl/python Other Skills (Common For All The Positions): Strong Communication, analytical, interpersonal & problem solving skills Ability to deliver on agreed goals and the ability to coordinate activities in the team/collaborate with others to deliver on the team vision. Ability to work effectively in a global team environment Enterprise System Design Software Engineer: The Enterprise Systems Design team is keen on hiring passionate Computer science and engineering graduates / Masters students, who can blend their architectural knowledge and programming skills to build the complex infrastructure geared to work for the Hybrid cloud and AI workloads. We have several opportunities in following areas of System & chip development team : Processor verification engineer Needs to develop the test infrastructure to verify the architecture and functionality of the IBM server processors/SOC or ASICs. Will be responsible to creatively think of all the scenarios to test and report the coverage. Work with design as well as other key stakeholders in identifying /debugging & Resolving logic design issues and deliver a quality design Processor Pre / Post silicon validation engineer As a validation engineer you would design and develop algorithms for Post Silicon Validation of next generation IBM server processors, SOCs and ASICs. Electronic design automation – Front & BE tool development. EDA tools development team is responsible for developing state of the art Front End verification , simulation , Formal verification tools , Place & Route, synthesis tools and Flows critical for designing & verifying high performance hardware design for IBM's next generation Systems (IBM P and Z Systems) which is used in Cognitive, ML, DL, and Data Center applications. Required Professional And Technical Skills: Functional Verification / Validation of Processors or ASICs. Computer architecture knowledge, Processor core design specifications, instruction set architecture and logic verification. Multi-processor cache coherency, Memory subsystem, IO subsystem knowledge, any of the protocols like PCIE/CXL, DDR, Flash, Ethernet etc Strong C/C++programming skills in a Unix/Linux environment required Great scripting skills – Perl / Python/Shell Development experience on Linux/Unix environments and in GIT repositories and basic understanding of Continues Integration and DevOps workflow. Understand Verilog / VHDL , verification coverage closure Proven problem-solving skills and the ability to work in a team environment are a must

Roles and Responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements Support the end-to-end lifecycle of ML products Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives Eligibility Critieria Bachelor's in Computer Science, Engineering, Data Science, or related field. Master’s degree preferred 4–6 years of experience in developing and deploying machine learning models, with significant exposure to MLOps practices Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures) Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS) Solid understanding of software engineering fundamentals and DevOps/MLOps workflows Exposure to at least 2-3 industry domains (energy, manufacturing, finance, etc.) preferred Excellent problem-solving skills, ownership mindset, and ability to work in agile cross-functional teams

G+D makes the lives of billions of people around the world more secure. We create trust in the digital age with integrated security technologies in three business areas: Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our co-operation within G+D. The whole world trusts us when it comes to physical or digital currencies. We increase the security and efficiency of the cash cycle in collaboration with central banks and the entire currency industry. As the market leader in advanced currency management, would you like to join us in shaping the future of payments? Job Title: Senior AI Consultant Job Description: We are seeking a seasoned professional to enable RAG-based use cases with expertise in fine tuning and prompt engineering. In this role, you will translate business needs into actionable RAG solutions. design tailored workflows, and drive user training—all while ensuring optimal performance and scalability of AI applications. Key Responsibilities: Business Requirements Analysis: Interpret business needs and convert them into structured RAG use cases. Solution Design & Consulting: Advise on RAG workflows and recommend best practices for platform configuration without heavy coding. Platform Implementation: Configure and customize the SaaS platform to meet project-specific goals. Fine Tuning & Prompt Engineering: Optimize LLMs for enhanced chatbots, content generation, and text analytics. User Training & Continuous Improvement: Lead onboarding sessions and drive ongoing enhancements to maximize ROI. Required Skills: Strong background in AI/ML with hands-on experience in generative AI and RAG methodologies. Working Knowledge of Agentic AI & MCP concepts. Proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch. Experience with cloud platforms (preferably Azure) and MLOps tools such as Docker, Kubernetes, and CI/CD. Excellent communication and consultative skills to bridge tech and business needs. Preferred Qualifications: Proven production-grade deployment of RAG solutions. Experience with large-scale datasets and vector databases (e.g., FAISS, Milvus). Solid grasp of AI ethics and responsible AI practices.

Summary Description Summary of This Role Works throughout the software development life cycle and performs in a utility capacity to create, design, code, debug, maintain, test, implement and validate applications with a broad understanding of a variety of languages and architectures. Analyzes existing applications or formulate logic for new applications, procedures, flowcharting, coding and debugging programs. Maintains and utilizes application and programming documents in the development of code. Recommends changes in development, maintenance and system standards. Creates appropriate deliverables and develops application implementation plans throughout the life cycle in a flexible development environment. What Part Will You Play? Develops moderately complex code using both front and/or back end programming languages within multiple platforms as needed in collaboration with business and technology teams for internal and external client software solutions. Designs, creates, and delivers moderately complex program specifications for code development and support on multiple projects/issues with a wide understanding of the application / database to better align interactions and technologies. Provides broad and in-depth knowledge of analysis, modification, and development of complex code/unit testing in order to develop concise application documentation. Performs and advises on testing, validation requirements, and corrective measures for complex code deficiencies and provides systemic proposals. Participates in client facing meetings, joint venture discussions, vendor partnership teams to determine solution approaches. Provides advise to leadership on the design, development and enforcement of business / infrastructure application standards to include associated controls, procedures and monitoring to ensure compliance and accuracy of data. Applies a full understanding and in-depth knowledge of procedures, methodology and application standards to include Payment Card Industry (PCI) security compliance. Develops, administers and recommends billable hours and resource estimates on complex initiatives, projects, and issues. Assists with on-the-job training and provides in-depth expertise and advice to software engineers. What Are We Looking For in This Role? Minimum Qualifications BS in Computer Science, Information Technology, Business / Management Information Systems or related field Typically minimum of 6 years - Professional Experience In Coding, Designing, Developing And Analyzing Data. Typically has an advanced knowledge and use of two or more opposing front / back end languages / technologies from the following but not limited to; two or more modern programming languages used in the enterprise, experience working with various APIs, external Services, experience with both relational and NoSQL Databases Preferred Qualifications BS in Computer Science, Information Technology, Business / Management Information Systems or related field 8+ years professional Experience In Coding, Designing, Developing And Analyzing Data and experience with IBM Rational Tools What Are Our Desired Skills and Capabilities? Skills / Knowledge - Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept./peer review). Job Complexity - Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise. Supervision - Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead). Operating Systems: Linux distributions including one or more for the following: Ubuntu, CentOS/RHEL, Amazon Linux Microsoft Windows z/OS Tandem/HP-Nonstop Database - Design, familiarity with DDL and DML for one or more of the following databases Oracle, MySQL, MS SQL Server, IMS, DB2, Hadoop Back-end technologies - Java, Python, .NET, Ruby, Mainframe COBOL, Mainframe Assembler Front-end technologies - HTML, JavaScript, jQuery, CICS Web Frameworks – Web technologies like Node.js, React.js, Angular, Redux Development Tools - Eclipse, Visual Studio, Webpack, Babel, Gulp Mobile Development – iOS, Android Machine Learning – Python, R, Matlab, Tensorflow, DMTK

We are looking for an experienced and passionate Machine Learning Trainer who can deliver high-quality, hands-on training to students, making them industry-ready for roles in data science and artificial intelligence. The trainer should be comfortable teaching both theoretical foundations and practical applications using industry-relevant tools and technologies. Key Responsibilities: Design and deliver a structured curriculum in Machine Learning. Conduct engaging sessions covering both concepts and real-world case studies. Guide students through hands-on projects and practical assignments. Track student progress and provide regular, constructive feedback. Prepare students for job placements, including mock interviews and portfolio development. Key Requirements: Strong experience with machine learning tools and frameworks such as Python, scikit-learn, TensorFlow, PyTorch, etc. Proven background in designing and delivering training programs. Prior experience mentoring or training students or professionals in the field. Excellent communication and presentation skills. Ability to bridge the gap between academic learning and industry expectations. Location: Ramanand Arya D.A.V. College, Station Road, Datar Colony, Bhandup East, Mumbai – 400042, Maharashtra Batch Start Date: 11th August 2025 Batch Timings: Morning and Evening slots available Mode: Offline (In-person training only)

Company Description At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Job Description Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta’s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Qualifications Required Knowledge & Technical Skills Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science – TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming – Python with pytorch and tensorflow Data – SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services – RESTful APIs and API testing, JSON, etc. Front end – JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools – Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Critical Success Factors Excellent communication and collaboration abilities to work within a team environment. Eagerness to learn and adapt to new tools and technologies in a fast-paced environment. Ability to manage a busy workload and multiple tasks, balancing parrallel projects through effective organisation and time management skills to ensure desired outcomes are fully achieved on time. Complete activities to a high standard, demonstrating a consistently high level of attention to detail. Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Website address - https://www.syngentagroup.com/ LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

Senior AI Engineers Location: Chennai Experience: 5+ Years Job Summary: You will lead the design of AI systems that assess banking health and predict risk trends. The role involves implementing scalable AI workflows and integrating multiple data sources for robust risk analytics and early warning signals. Responsibilities: · Lead implementation of predictive ML models for capital adequacy, liquidity risk, and market indicators. · Use NLP to analyse regulatory filings, contracts, and KYC documents. · Automate stress testing and back-testing using AI. · Manage integration with internal dashboards and resolution management tools. · Mentor junior engineers and contribute to data governance best practices. · Design AI systems that process transactional and behavioral banking data (loans, accounts, transfers, payments). · Create scalable pipelines with MLflow for experiment tracking and reproducibility. · Implement deep learning models (LSTM, CNN, BERT) for time series forecasting and document summarization. · Work with MLOps tools for continuous deployment, CI/CD, and real-time monitoring. Technical Skills: · Languages: Python, SQL, PySpark · ML & Deep Learning: TensorFlow, PyTorch, Prophet, HuggingFace Transformers · Big Data: Apache Spark, Delta Lake, Databricks · MLOps: MLflow, Airflow, Docker, GitHub Actions · Platforms: Azure ML, SageMaker, Databricks · Domain: Basel II/III, banking KPIs, early warning indicators

About CertAssists: We are building the next generation of AI-driven simulation platforms that help professionals crack top-tier IT certifications like AWS, PMP, Cisco, Salesforce, CompTIA, and more. Our products replicate real exam environments with machine intelligence, real-time monitoring, and human-centered design. At CertAssists, we are not just preparing people for tests — we're building the future of immersive, intelligent, and honest learning experiences. We’re now looking for an experienced Computer Vision Engineer to help us scale our AI capabilities across visual intelligence, anomaly detection, and simulation personalization. 🎯 What You'll Do: Develop and optimize computer vision algorithms for exam environment monitoring, gesture & posture tracking, document/ID verification, and object detection. Build real-time detection systems that can flag anomalies or suspicious activity in simulation/exam environments. Work on liveness detection, eye tracking, and face recognition modules to ensure secure and fair assessments. Train and fine-tune deep learning models for video analysis, scene understanding, and environment simulation. Collaborate with simulation engineers to integrate vision models into interactive training and assessment platforms. Keep our tech ahead of the curve by researching and implementing the latest breakthroughs in computer vision and AI. 🧠 Requirements: Bachelor’s/Master’s in Computer Science, AI, Computer Vision, or related field (PhD is a plus). Solid experience with OpenCV, TensorFlow/PyTorch, and real-time video processing. Proven expertise in object detection, image segmentation, and facial recognition (YOLO, Faster R-CNN, Mask R-CNN, U-Net). Familiarity with liveness detection, anti-spoofing techniques, and multi-camera setups. Strong coding skills in Python; experience deploying models on cloud and edge devices. Ability to turn cutting-edge research into robust, production-ready solutions. 💼 What We Offer: 💸 Salary: ₹7 – ₹12 LPA + performance bonuses 🌍 Remote-friendly work environment 💥 High-impact role in a growing AI-first EdTech company 📚 Paid certifications (AWS, GCP, ML) 🧠 Mentorship + career acceleration track 🚀 Ship real AI products, not POCs

Job Description ————————————————————————————————————— Manager - Analytics Godrej Consumer Products Limited (GCPL) Mumbai, Maharashtra, India ————————————————————————————————————— Job Title: Manager - Analytics Job Type: Permanent, Full-time Function: Information Technology Business: Godrej Consumer Products Limited Location : Mumbai, Maharashtra, India About Godrej Industries Limited And Associate Companies (GILAC) GILAC is a holding company of the Godrej Group. We have significant interests in consumer goods, real estate, agriculture, chemicals, and financial services through our subsidiary and associate companies, across 18 countries. https://www.godrejindustries.com/ About Godrej Consumer Products Limited (GCPL) Godrej Consumer Products is a leading emerging markets company. As part of the over 125-year young Godrej Group, we are fortunate to have a proud legacy built on the strong values of trust, integrity and respect for others. At the same time, we are growing fast and have exciting, ambitious aspirations. https://www.godrejcp.com/ About The Role As Data and Analytics manager, you will be responsible for managing the design, development, and implementation of Azure data engineering/visualization and data science solutions in GCPL with a specific focus on Media and Marketing. This role requires a blend of hands-on technical expertise, and strong business understanding. The responsibility also includes evaluation and implementation of emerging technologies in Azure data tech stack, data science, AI/ML and drive standardization and implementation of best practices. Your Roles & Responsibilities End-to-End Project Development : Lead the conceptualization, development, and execution of data science projects across various functions and geographies within GCPL, ensuring alignment with business objectives and strategies. Cross-functional Collaboration : Foster effective collaboration with internal stakeholders such as marketing, sales, supply chain, and finance to identify data-driven opportunities, address business challenges, and deliver actionable insights. Vendor Management : Engage with external vendors and partners to leverage specialized expertise, tools, and resources for advanced analytics projects, ensuring quality deliverables within established timelines and budgets. Performance Monitoring : Establish metrics and KPIs to assess the performance and impact of data science initiatives, tracking progress against goals and recommending adjustments as necessary to optimize outcomes. Continuous Improvement : Stay abreast of industry trends, emerging technologies, and best practices in data science, actively seeking opportunities to enhance the company's analytical capabilities and drive innovation. Team Management : Mentor junior data scientists, providing guidance on project execution, technical skills development, and career growth. Position Requirements Qualification & Experience : Educational Background : Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related disciplines. Professional Experience : Minimum of 5-8 years of experience in data science, preferably within the FMCG industry or related sectors. Skills Required Must have : Technical Proficiency: Proficient in programming languages such as Python, R, or SQL, with hands-on experience in statistical analysis, machine learning, data visualization, and predictive modeling techniques. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets, extract actionable insights, and translate findings into business recommendations. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization. Business Acumen: Sound understanding of FMCG business dynamics, consumer behavior, market trends, and competitive landscape, coupled with a strategic mindset and commercial awareness. Adaptability: Proven ability to thrive in a fast-paced and dynamic environment, managing multiple priorities and stakeholders while maintaining a focus on delivering high-quality results. Good To Have Deep Learning Frameworks : Exposure to deep learning frameworks such as TensorFlow, PyTorch, or Keras, with application in areas like time-series forecasting. MLops Understanding: Familiarity with MLops (Machine Learning Operations) principles and practices, including model deployment, monitoring, versioning, and automation, to ensure scalability, reliability, and performance of machine learning models in production environments. Cloud for Machine Learning: Experience working with cloud platforms (AWS, GCP, or Azure), especially with ML services like SageMaker, Databricks or Azure ML Studio for scalable and production-grade solutions. AI Productization : Experience in translating data science models into business products or dashboards embedded within operational processes. What’s in it for you? Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We Are Selfish About Your Wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https://www.godrejcareers.com/benefits/ An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It ’ s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

About Us Meritorious CodeCrafters is a forward-thinking software company focused on building high-performance AI-driven applications. We work at the intersection of software engineering and machine learning, creating scalable solutions for real-world problems. We are currently seeking a skilled Full Stack - AI/ML Developer to join our team onsite in Gandhinagar. Job Summary As a Full Stack Engineer, you will collaborate with data scientists and product teams to bring machine learning models into production. You will build APIs, design user interfaces, manage data flows, and deploy solutions in the cloud. This is a hands-on engineering role for someone who enjoys building end-to-end systems using modern technologies. Key Responsibilities Integrate machine learning and deep learning models into backend systems Build and maintain RESTful or GraphQL APIs for real-time model predictions Develop responsive, user-friendly interfaces using React.js or similar frameworks Deploy and manage applications on AWS, GCP, or Azure using Docker/Kubernetes Design and maintain data pipelines and storage systems (SQL/NoSQL) Monitor system performance and implement logging and alerting Work in an Agile environment with product managers, designers, and data scientists Qualifications Bachelor’s or Master’s in Computer Science or related field 3+ years of experience as a Full Stack Engineer (Frontend + Backend) Experience with AI/ML projects or integrating ML models into applications Strong frontend skills: JavaScript, TypeScript, HTML, CSS, React.js (or Vue/Angular) Strong backend skills: Node.js, Python, or Java Familiar with TensorFlow, PyTorch, or other ML frameworks Proficient in cloud platforms: AWS, GCP, or Azure Experience with PostgreSQL, MongoDB, or similar databases Familiar with Docker, Kubernetes, Git, and CI/CD tools Must have strong communication and teamwork skills Experience working in Agile/Scrum environments What We Offer Opportunity to work on real-world AI solutions Collaborative and supportive engineering culture Onsite role in a growing tech hub – Gandhinagar, Gujarat Career growth and skill development opportunities Job Type: Full-time Pay: ₹456,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Leave encashment Application Question(s): What is your current notice period, and when would you be available to join if selected? Experience: Relevant : 2 years (Required) Work Location: In person Expected Start Date: 11/08/2025

Company Name: Credenca Data Solutions Pvt. Ltd. Position: AI Engineer Experience: 3-5 Years Description of position: Credenca Data Solutions Pvt Ltd is looking for an experienced artificial intelligence engineer. with 3 to 5 years’ experience. The candidate should have experience in designing, developing, and deploying AI solutions to extract insights from large datasets. Strong Python coding skills, expertise in AI/ML libraries, and proficiency with cloud platforms (Microsoft Azure, AWS, or GCP) are essential. Desired Skills and Experience: 1. Proficiency in machine learning engineering, deep learning, and statistical ML. 2. Experience in a domain-specific AI application. 3. Understanding of ethical considerations and best practices in AI. 4. Implement and optimize machine learning models and algorithms. 5. Strong hands-on experience in Python, with a focus on AI/ML libraries. 6. Design, develop, and deploy AI solutions to extract insights from large datasets. 7. Expertise in NLP techniques and libraries. 8. Excellent analytical and problem-solving abilities. 9. The candidate is expected to comply with the company's policies and procedures. 10. Work with stakeholders to identify key business problems and determine how AI can address them. 11. Strong written and verbal communication skills to convey technical concepts to non-technical stakeholders. 12. Collaborate with data engineers to ensure data pipelines are robust and scalable. 13. Create dashboards and reports to communicate findings to business stakeholders. 14. Stay up-to-date with the latest AI trends and technologies to continually enhance solutions. offerings. 15. Expertise in PyTorch, TensorFlow, Keras, Langchain, OpenAI, Ollama, and other relevant frameworks. Educational Qualifications: 1. Candidates should hold at least a bachelor’s degree. 2. Any relevant certifications. Work Location: Pune Requirement Fulfillment: Immediate to within 15-20 days

Hiring: Senior Python Developer – AI/ML | Coimbatore (Onsite) Company: Ad-Hash Technolabs Pvt. Ltd. Experience: 5+ Years Location: Coimbatore (Onsite) Join Date: Immediate Joiner Preferred Role Summary We are looking for a Senior Python Developer (AI/ML) to lead the design, development, and deployment of scalable AI applications, machine learning models, and intelligent automation systems. This role requires deep Python expertise combined with hands-on ML/AI project experience. Key Responsibilities ✅ Develop and maintain high-performance Python applications. ✅ Design, train, and deploy ML/AI models for NLP, computer vision, or predictive analytics. ✅ Perform data preprocessing, feature engineering, and model optimisation. ✅ Build and integrate REST APIs for AI solutions. ✅ Collaborate with Data Scientists, Engineers, and Product Teams. ✅ Deploy solutions to cloud environments (AWS / Azure / GCP). ✅ Stay updated with latest AI, ML, and Python frameworks. Required Skills & Qualifications 🔹 5+ years in Python backend development. 🔹 Strong experience in Machine Learning (TensorFlow, PyTorch, Scikit-learn). 🔹 Proficiency in Pandas, NumPy, and data analysis. 🔹 Knowledge of Deep Learning, NLP, or Computer Vision. 🔹 Familiarity with FastAPI, Flask, and MLOps practices. 🔹 Strong problem-solving & debugging skills. 🔹 Bachelor's/Master’s degree in Computer Science, AI, or related field. Nice to Have ✨ Experience in real-time AI applications. ✨ Exposure to Kubernetes, Docker, and CI/CD pipelines. ✨ Knowledge of data engineering & ETL workflows. Why Join Us? 🌟 Work on cutting-edge AI products. 🌟 Onsite Coimbatore opportunity – be part of a fast-growing AI team. 🌟 Competitive pay + career growth. 🌟 Direct impact on high-visibility AI projects. 📩 Apply Now Send your CV to hr@adhashtech.com with the subject: Senior Python Developer – AI/ML – Immediate Joiner.

Job Overview: We are looking for a AI/ML Developer to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges. Key Responsibilities: • Develop and optimize ML, NLP, Deep Learning, and Generative AI models. • Research and implement state-of-the-art algorithms for supervised and unsupervised learning. • Work with large-scale datasets in distributed environments. • Understand business processes to select and apply the best ML approaches. • Ensure scalability and performance of ML solutions. • Collaborate with cross-functional teams, including product owners, designers, and developers. • Solve complex data integration and deployment challenges. • Communicate results effectively using data visualization. • Work in global teams across different time zones. Required Skills & Experience: • Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI . • Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . • Experience with LLMs (Large Language Models), model fine-tuning, and prompt engineering . • Proficiency in Python, R, or Scala for ML development. • Knowledge of cloud-based ML platforms (AWS, Azure, GCP). • Experience with big data processing (Spark, Hadoop, or Dask). • Ability to scale ML models from prototypes to production . • Strong analytical and problem-solving skills. If you’re passionate about pushing the boundaries of ML and GenAI , we’d love to hear from you!

We’re Hiring at NIMS University Rajasthan, Jaipur! Are you passionate about cutting-edge tech, AI, data science, and education? Join one of India's premier institutions driving the future of innovation, learning, and research. We’re expanding our advanced tech labs in collaboration with Google, Microsoft, AWS, and KPMG — and we want exceptional trainers and lab assistants to be a part of this transformation. Open Positions 👉 Senior Trainer – AI, Cloud, Big Data, ML, Medical Engineering, Blockchain (5+ yrs experience) 👉 Junior Trainer – Computer Science & Medical Engineering, IoT Blockchain (2+ yrs experience) 👉 Lab Assistants – Coding Labs (2+ yrs experience) Labs include: Cloud & Big Data (Google) AI & ML (Microsoft) Data Science & Engineering (KPMG) Computer Science & Medical Engineering (AWS) IoT Blockchain Cybernetics & Edge Computing (AWS) Skills Needed: Hadoop, Spark, Python, TensorFlow, AI/ML, Biomedical Imaging, Data Engineering, IoT Frameworks, Raspberry Pi, Cybernetics, OpenCV, Linux, and more. 📍 Location: NIMS University, Jaipur 📅 Last date to apply: 14 August, 2025 This is your chance to shape future innovators and work on real-world projects backed by global tech leaders.

Job Title: Innovation Lab Trainer – Robotics, AI, and Emerging Technologies Experience: 1-2 years Education: B.E./B.Tech in Computer Science, Electronics, or related fields Role Overview: We are seeking a dynamic and hands-on Innovation Lab Trainer to lead technical training and mentor students on cutting-edge technologies including robotics, humanoid systems, autonomous vehicles, AI in Industry 4.0, electronics, and IoT. The trainer will be stationed full-time at a leading university in Lucknow, facilitating experiential learning, interdisciplinary projects, and student innovation. Key Responsibilities: Conduct engaging training sessions and workshops on: Humanoid robots and human-robot interaction Autonomous vehicle programming and sensor integration Robotics and embedded systems Artificial Intelligence and Machine Learning applications in Industry 4.0 Core Electronics, IoT devices, and integration Support students in prototyping, project development, and innovation challenges Manage and operate equipment and technologies in the Innovation Lab Ensure lab safety, documentation, and upkeep of Innovation Lab assets Continuously stay updated with emerging technologies and tools Required Skills & Qualifications: B.E./B.Tech in Computer Science, Electronics, Mechatronics, or a related field Strong programming skills in Python , C++ , and Java Hands-on experience with: Humanoid robotics platforms Microcontroller ecosystems such as Arduino, Raspberry Pi IoT protocols (MQTT, HTTP), sensors, and actuators Machine Learning libraries (e.g., TensorFlow, OpenCV) Excellent communication, training, and interpersonal skills Passion for mentoring and nurturing innovation among students Remuneration: Commensurate with experience and qualifications

About The Role We are looking for a skilled and motivated Machine Learning Engineer / Data Scientist to join our team. The ideal candidate should have a strong foundation in machine learning and deep learning, with experience in building end-to-end ML pipelines and hybrid modeling approaches that incorporate both physics-based simulations and data-driven insights. You will work on high-impact projects involving time series forecasting, predictive modeling, and system simulation to support data-driven decision-making. Key Responsibilities  Design, train, and evaluate machine learning and deep learning models for regression, classification, and forecasting tasks.  Build and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, validation, and deployment.  Develop physics-informed or hybrid models by combining domain knowledge with machine learning approaches to simulate and predict system behaviors.  Implement and optimize time series forecasting models using statistical techniques, classical ML, and deep learning architectures (e.g., LSTM, Transformer).  Collaborate with cross-functional teams to transtranslate business needs into machine learning solutions.  Monitor and refine model performance post-deployment to ensure robust, scalable outcomes. Key Skills Required  Strong knowledge of Machine Learning and Deep Learning algorithms and their applications.  Proven experience in building and deploying end-to-end ML pipelines.  Hands-on experience in physics-based modeling or hybrid approaches combining physical models with data-driven techniques. Solid understanding of time series forecasting using statistical (ARIMA, ETS), machine learning (XGBoost, RF), and deep learning (RNN, LSTM, Temporal CNN) methods.  Experience designing regression and classification models for real-world problems.  Proficiency in Python, and libraries like TensorFlow / PyTorch, scikit-learn, pandas, NumPy, statsmodels, etc.  Strong problem-solving mindset and ability to work with minimal supervision. Skills: deep learning,model training,statistical techniques,pytorch,scikit-learn,physics-based modeling,end-to-end ml pipelines,machine learning,feature engineering,time series forecasting,tensorflow,python,numpy,hybrid modeling,classification,pandas,deployment,preprocessing,time series analysis,statsmodels,regression,validation,data ingestion

Job Description Strong programming skills, particularly in Python, with experience in ML frameworks like TensorFlow or PyTorch. Proven expertise in MLOps best practices including model versioning, monitoring, automated deployment, and infrastructure automation. In-depth knowledge of Google Cloud Platform services including Data Fusion, Dataproc, Dataflow for data processing and pipeline orchestration. Experience working with PostgreSQL databases and data integration tools like Qlik Replicate. Expertise in security and privacy considerations for machine learning systems, including data encryption, access control, and compliance with regulations such as GDPR and HIPAA. Strong communication and leadership skills, capable of engaging both technical and non-technical stakeholders effectively. Responsibilities You will develop and execute a comprehensive technical strategy encompassing architecture, design, implementation, and operation of end-to-end ML lifecycle and experimentation capabilities. Leading a high-performing team, you will take ownership of deliverables, foster a culture of continuous learning and innovation, and participate hands-on in coding, code reviews, troubleshooting, and mentoring. Your role will include creating and maintaining scalable MLOps frameworks and infrastructure to support the full machine learning pipeline—from data ingestion and processing through model deployment and monitoring. You will collaborate closely with data scientists, data engineers, software developers, and business stakeholders to ensure robustness, scalability, and performance in integrating ML models into production. Implementing rigorous security best practices to maintain compliance with industry standards and regulations is essential. Additionally, you will maintain thorough technical documentation, guidelines, and knowledge-sharing resources. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. 5+ years managing software engineering or MLOps teams. 3+ years hands-on experience deploying and managing machine learning models in production. 14+ years overall IT industry experience. Relevant certifications in MLOps, Cloud platforms (especially GCP Professional Machine Learning Engineer or Data Engineer).

Company Description APN News is a dynamic 24x7 Hindi News & Current Affairs TV channel committed to delivering authentic and impactful news. With a special focus on the Hindi heartland, including Delhi-NCR, Uttar Pradesh, Uttarakhand, Bihar, Jharkhand, Madhya Pradesh, and Chhattisgarh, APN News has established strong footprints across India. Leveraging cutting-edge formats and state-of-the-art newsrooms, our channel is renowned as 'the people's channel.' Our well-designed product-promotion and branding strategies consolidate our position in the media market. Role Description This is a full-time on-site role for an Artificial Intelligence Researcher located in Noida. The Artificial Intelligence Researcher will be responsible for conducting research in AI, developing and testing AI models, working with data science teams to analyze data and pattern recognition, and applying statistical methods to develop effective algorithms. The researcher will also be expected to collaborate with other departments to integrate AI solutions into our news production and delivery processes. Qualifications Strong foundation in Computer Science and Data Science Experience in Pattern Recognition and Statistics Proven research skills in Artificial Intelligence Ability to analyze large data sets and extract meaningful insights Excellent problem-solving and critical-thinking abilities Proficiency in programming languages such as Python, R, or Java Experience with machine learning frameworks such as TensorFlow or PyTorch Degree in Computer Science, Data Science, or a related field is preferred

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. About ITSM Team IT Service Management (ITSM) is one of the fastest growing products of Atlassian. Through this solution, we are helping technical and non-technical teams centralize and streamline service requests, respond to incidents, collect and maintain knowledge, manage assets and configuration items, and more. Specifically this team within ITSM works on using cutting-edge AI and machine learning algorithms to automate IT operational tasks, troubleshoot problems, and reduce mental overload for oncall engineers and alike. By weaving Generative AI into our product we revolutionise AIOps by moving from a traditional reactive troubleshooting-based system to a proactive problem-solving approach. Our AI models are designed to evolve over time through continuous learning making them more robust, accurate, and resilient. Responsibilities What you will do As a Principal Engineer on the ITSM team, you will get the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI ( Mean time to identify). You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input, and communicate results In This Role, You'll Get The Chance To First and foremost, work with a distributed, world-class team shaping the future of AIOps. You will be at the forefront of innovation, shaping the next generation of enAI-powered operations tools that predict, prevent, and resolve IT issues before they impact our customers Master Generative AI: Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans Become a machine learning maestro: Hone your skills in both supervised and unsupervised learning, constructing algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance Collaborate with diverse minds: Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise Make a tangible impact: Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward. Routinely tackle complex architectural challenges, spar with other principal engineers to build ML pipelines and models that scale for thousands of customers Develop leadership skills: You'll have the opportunity to mentor junior engineers, guide projects, and partner across engineering teams to take on company-wide initiatives spanning multiple projects. This is an extremely high-visibility role Our tech stack is primarily Python/Java/Kotlin built on AWS. Qualifications On your first day, we’ll expect you to have 10+ years of total experience Fluency in atleast 1 scripting, OOP language Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Familiarity with MLOps and experience with scaling and deploying Machine Learning models It would be great, but not required if you have Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks). Experience with MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Experience with AIOps or related fields like IT automation or incident management. Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). Experience with using LLMs Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Job Location :- Lucknow Job Experience :- 1-4 years Role Description This is a full-time on-site role for an AI/ML Developer located in Lucknow. The AI/ML Developer will be responsible for designing, developing, and implementing machine learning models and algorithms. They will collaborate with cross-functional teams to integrate AI solutions into existing systems, perform data analysis, and ensure model performance and accuracy. Additionally, the role involves staying updated with the latest advancements in AI/ML technologies and methodologies to continually improve the solutions provided. Qualifications Strong programming skills in languages such as Python, R, and Java Proficiency in machine learning frameworks and libraries like TensorFlow, Keras, and PyTorch Experience with data preprocessing, feature engineering, and data visualization tools Knowledge of AI/ML algorithms, including supervised, unsupervised, and reinforcement learning Strong analytical and problem-solving skills with attention to detail Ability to work collaboratively in a team environment Excellent written and verbal communication skills Bachelor's or Master's degree in Computer Science, Data Science, or a related field Experience in deploying machine learning models in production environments is a plus Understanding of cloud platforms such as AWS, Azure, or Google Cloud is beneficial

Company Description Webbrains Technologies Private Ltd. is an Australian-based IT firm with development locations in India. We provide a wide range of IT services including Web Designing & Development, Mobile Application Development, Custom Software Solutions, and more. Our client base spans over 42 countries, serving various industries such as Healthcare, Energy, Construction, and Finance. We specialize in frontend, backend, and mobile technologies including React JS, Node JS, PHP, iOS, Android, and many others. We also offer IT dedicated remote resources to clients on a contract basis. Job Overview We are looking for an experienced Senior AI/ML Developer with strong expertise in Large Language Models (LLMs) to lead the design, development, and deployment of advanced AI solutions. The ideal candidate will be proficient in modern machine learning frameworks, natural language processing techniques, and prompt engineering for LLM-powered applications. Key Responsibilities Design, develop, and fine-tune LLM-based AI solutions for business applications. Build, train, and deploy ML models using frameworks such as TensorFlow, PyTorch, or Hugging Face. Implement prompt engineering and context optimization for improving LLM outputs. Work with transformers, embeddings, and vector databases for semantic search and AI applications. Collaborate with data engineers to prepare and process large datasets for AI/ML training. Integrate AI/ML models into production systems using REST APIs or other deployment pipelines. Conduct research on latest AI/ML advancements and apply relevant techniques to ongoing projects. Mentor junior developers and contribute to best practices & code quality standards . Required Skills & Qualifications Bachelor’s/Master’s in Computer Science, AI/ML, Data Science, or related field. 4+ years of hands-on AI/ML development experience, with at least 1 year working with LLMs (GPT, LLaMA, Claude, etc.). Strong understanding of transformer architectures and NLP pipelines. Experience with Python and libraries such as NumPy, Pandas, Scikit-learn, Transformers, LangChain. Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus). Hands-on with model fine-tuning and RLHF (Reinforcement Learning with Human Feedback) . Knowledge of cloud platforms (AWS, Azure, GCP) for AI model deployment. Excellent problem-solving, analytical, and communication skills. Preferred Skills Experience in RAG (Retrieval-Augmented Generation) architectures. Understanding of MLOps and CI/CD pipelines for AI/ML. Domain-specific AI model customization experience.