9506 Tensorflow Jobs

Line of Service Tax Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary : We are seeking a highly skilled and passionate Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will be responsible for developing, implementing, and optimizing cutting-edge generative models to create innovative solutions in the area of content creation, document processing, code generation, etc. You will work closely with product managers to translate research into impactful products and services. Responsibilities: As an AI Engineer with experience of 3 to 4 years, you will be responsible for providing technical solution to Business problem. You need to deliver solutions with right quality on right time and with optimum cost. Model Development and Implementation: Strong understanding of deep learning concepts and techniques, particularly in generative models. Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc. Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. Proficiency in programming languages such as Python. Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Proven experience in developing and deploying generative AI models. Experience with large-scale data processing and analysis. Experience working with different data modalities (e.g., images, text, audio). Model Development and Implementation: Design, develop, and train state-of-the-art generative models (e.g., GANs, VAEs, Transformers, Diffusion Models) for various applications. Implement and optimize deep learning architectures for efficient training and inference. Experiment with different model architectures, hyperparameters, and training techniques to improve performance. Collect, clean, and preprocess large datasets for training generative models. Evaluation and Optimization: Evaluate the performance of generative models using appropriate metrics and benchmarks. Identify and address performance bottlenecks and improve model efficiency. Conduct thorough testing and validation to ensure model reliability and robustness. Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. Stay up-to-date with the latest advancements in generative AI and deep learning. Deployment and Maintenance: Deploy trained models to production environments. Monitor model performance and maintain model stability. Troubleshoot and resolve issues related to model deployment and performance. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Passion for innovation and continuous learning. Mandatory skill sets: Gen AI Engineer Preferred skill sets: Gen AI Engineer Years of experience required: 3 to 7 Yrs Education qualification: B.Tech/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Genetic Engineering Optional Skills Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Title: AI Manager Location: Chennai Salary Range: ₹40,00,000 – ₹65,00,000 per annum Experience: 8 to 16 Years Key Responsibilities Lead and mentor a team of algorithm engineers, fostering growth and high performance. Design and maintain scalable infrastructure for deploying and executing AI/ML algorithms efficiently. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to build robust algorithmic solutions. Optimize algorithm performance for efficiency and resource utilization in line with business goals. Stay current with emerging trends in machine learning, computer vision, and algorithm engineering. Continuously improve development methodologies, tools, and practices to enhance delivery and system reliability. Required Qualifications Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field. Minimum of: Ph.D. with at least 6 years of industry experience, or Master’s with at least 8 years of experience, or Bachelor’s with at least 10 years of experience. At least 3 years of experience in a formal Managerial role (not just Team Lead). 8+ years of hands-on experience in Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI). Proficient in programming languages such as Python, C++, and/or CUDA. 2–3 years of experience in Computer Vision and Image Processing. Strong understanding of high-performance computing, parallel programming, and distributed systems. Excellent analytical, problem-solving, and communication skills. Experience in managing the full development lifecycle of AI/ML projects in production environments. Preferred Qualifications Proficiency with frameworks such as TensorFlow, PyTorch, Scikit-learn. Hands-on experience with GPU architectures and containerization tools like Docker or Apptainer. Exposure to algorithm optimization and infrastructure design for scalable ML deployments. Academic background from a recognized institute (e.g., IIT, NIT, IIIT, VIT) is preferred. CGPA of 8.0 or above (where applicable) is considered an advantage. Experience in semiconductor, hardware, or product-based engineering companies is highly desirable. Additional Guidelines Must have a minimum of 2 years of stability in recent roles (no frequent job changes). Candidates must be willing to relocate to Chennai (relocation support available). Role requires 3 days/week working from office. Open to candidates currently located anywhere (including international profiles) willing to relocate. Interview Process Three Technical Rounds Fitment Discussion Final HR Round Skills: gpu architectures,ml,computer vision,c++,tensorflow,artificial intelligence,algorithm optimization,high-performance computing,infrastructure,infrastructure design,deep learning,cuda,python,image processing,pytorch,containerization tools (docker, apptainer),parallel programming,distributed systems,scikit-learn,learning,machine learning

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 03rd August 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

About ImageVision.AI : ImageVision.AI is an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries, including healthcare, security, retail, and autonomous systems. In 2024, CIO Tech Outlook recognized ImageVision.AI as one of the "10 Most Promising Computer Vision Startups." Our mission is to leverage state-of-the-art AI models to develop innovative, real-world applications that transform businesses. Join us and be part of a team pushing the boundaries of AI-powered vision technology! About the Role: We are seeking a skilled Computer Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing cutting-edge computer vision algorithms, working on real-world applications involving image processing, object detection, recognition, and deep learning. If you are passionate about AI, machine learning, and solving challenging problems in computer vision, we would love to hear from you! Key Responsibilities: · Develop and Optimize CV Algorithms: . Design, implement, and optimize computer vision and deep learning models for tasks such as object detection, image segmentation, and tracking. o Improve image classification, feature extraction, and OCR performance. · Machine Learning & Deep Learning Implementation: o Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn. o Work with CNNs, transformers, GANs, and self-supervised learning techniques. · Data Processing & Model Training: o Process and augment large-scale image and video datasets. o Optimize model performance for real-time applications on edge devices or cloud-based solutions. · Software Development & Deployment: o Develop efficient Python pipelines for real-time image processing and have C++ plus. o Deploy AI models into production environments, mobile devices, or embedded systems. · Collaboration & Research: o Work closely with AI researchers, software engineers, and product teams to develop innovative solutions. o Stay updated with the latest research in computer vision, deep learning, and AI. Required Qualifications: · Education: o Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or Data Science a related field. · Technical Skills: o 2+ years Strong programming skills in Python and plus to have C++. o Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn. o Proficiency in deep learning architectures like CNNs (SSD,Faster-Rcnn,YOLO), RNNs, and Vision Transformers. o Understanding image processing techniques, feature extraction, and object recognition, Model Parameters tuning. o Experience with cloud computing platforms (AWS, Google Cloud). o Familiarity with MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO) · Soft Skills: o Strong analytical and problem-solving abilities. o Ability to work independently and within a team. o Excellent communication skills in English. Why Join ImageVision.AI? ✅ Work on cutting-edge AI and computer vision projects. ✅ Opportunity to contribute to real-world applications. ✅ Collaborative and fast-paced AI-driven environment. ✅ Competitive salary and benefits. If you're passionate about AI and computer vision, apply now and be part of our innovative team!

Experience: 1 to 3 years Location: Mohali Punjab OVERVIEW Responsibilities: Develop and maintain web applications using Python frameworks like Django and Flask. Utilize data analysis libraries such as NumPy, pandas, and matplotlib for extracting insights from large datasets. Implement machine learning models using TensorFlow and PyTorch for various applications. Handle HTTP requests efficiently using libraries like Requests. Perform web scraping tasks using Beautiful Soup and Scrapy. Collaborate with cross-functional teams to design and implement scalable solutions. Ensure the security and integrity of data by integrating with database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Stay updated with the latest trends and technologies in the Python ecosystem. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. Excellent problem-solving skills and attention to detail. Ability to work independently as well as in a team environment. Strong proficiency in Python programming language. Experience with Python frameworks such as Django and Flask for web development. Familiarity with LangChain, LlamaIndex, ML, or VectorDB technologies is a plus, enhancing the team’s capabilities in data management and analysis. Proficiency in deploying Python applications to AWS, Azure, or GCP cloud platforms. Experience with FastAPI as an API development framework, facilitating efficient and robust development of web APIs to support the software ecosystem. Familiarity with data analysis libraries like NumPy, Pandas, Requests, and matplotlib. Experience in handling HTTP requests and web scraping. Understanding of database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Strong communication and interpersonal skills. Programming languages: Python, JavaScript, HTML, CSS. Experience with DevOps tools (Jenkins, Docker, Kubernetes) is a plus. Version control: Git, GitHub. Knowledge of LLM, AI/ML, and OpenAI technologies is a bonus. Job Type: Full Time, Permanent, Regular 5 Days Working Location: Plot no.968, Sector-82, JLPL Industrial Area, Mohali, Punjab (140306) Supplement Pay: Yearly Performance Based Bonus, Overtime pays, and others. Benefits: Personality and Training Development, Paid leave, Mensuration leaves, Maternity leaves, Compensatory Off and other special leaves.

Job Description: Nogiz is hiring a passionate and skilled Python Developer (AI/ML) with 3+ years of experience to join our on-site team. If you're looking to work on impactful machine learning projects, collaborate with a motivated team, and grow in a technology-first environment, we’d love to hear from you. Responsibilities & Skills: Develop and deploy AI/ML models using Python and modern frameworks. Handle data preprocessing, feature engineering, and algorithm tuning. Work closely with cross-functional teams to integrate models into live systems. Optimize model performance and scalability. Write clean, maintainable code and clear documentation. Strong understanding of Python, OOPs concepts, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy). Experience in model evaluation and statistical analysis. Good communication skills and team collaboration. Exposure to Agile methodologies is a plus. Job Type: Full-time Pay: ₹50000 -₹80000 per month Schedule: Day shift Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Preferred) Location Mohali, Punjab (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹75,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python development: 3 years (Preferred) AI/ML: 3 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

🚀 We're Hiring: Senior AI/ML Engineer | Join Our Mission to Build the Future of Intelligent Systems Are you passionate about cutting-edge AI and machine learning? Are you eager to build and deploy Large Language Models, intelligent agents, and transformative AI systems at scale? We’re looking for a " Senior AI/ML Engineer" to join our fast-moving team and make a real impact. 🔍 What You’ll Do: Fine-tune and optimize state-of-the-art models (Transformers, CNNs, RNNs) for real-world use cases Apply quantization and other optimization techniques (INT8, INT4, dynamic quantization) to maximize model performance Build, deploy, and scale intelligent AI agents and multi-agent systems Design APIs and services using FastAPI, Flask, or Django REST, and deploy using Docker/Kubernetes across AWS/GCP/Azure Collaborate on production-grade solutions using PyTorch, TensorFlow, Hugging Face Transformers Leverage vector databases (e.g., Pinecone, Weaviate, Chroma) to power intelligent applications ✅ What We’re Looking For: 3+ years of AI/ML development experience with a proven track record of delivering impactful projects Expertise in fine-tuning and deploying LLMs and deep learning models Deep understanding of modern AI workflows and frameworks (Transformers, Agents, RAG, etc.) Strong Python skills and solid software engineering fundamentals Hands-on experience with production environments, CI/CD, and cloud platforms Proficiency in databases (PostgreSQL + vector DBs) and collaborative Git workflows 🌟 Bonus Points For: Experience with distributed training and large-scale model development Familiarity with retrieval-augmented generation (RAG), prompt engineering, and chain-of-thought reasoning. Background in AI ethics or responsible AI practices Start-up or rapid development experience Bachelor’s or Master’s degree in Computer Science, AI, or a related field 🌐 Why Join Us? Work on high-impact, technically challenging problems Be part of a collaborative, fast-moving, and forward-thinking team Build products that leverage cutting-edge AI to solve real-world challenges Shape the direction of intelligent systems from the ground up \#AIJobs #MachineLearning #DeepLearning #LLMs #MLJobs #TechHiring #StartupJobs #ArtificialIntelligence #FastAPI #HuggingFace #PyTorch #Kubernetes #AIEngineer

Job Summary: We are looking for a Computer Vision Engineer to develop and implement AI-driven solutions for the restaurant industry. The ideal candidate will design, train, and deploy machine learning models for real-time video analytics, improving operational efficiency and customer experience. Roles & Responsibilities: Develop and deploy computer vision models for restaurant automation and analytics. Work with Python and its libraries (OpenCV, TensorFlow, PyTorch) to process video feeds. Design database architectures using SQL and MongoDB for efficient data storage. Build cloud-based AI solutions on AWS for scalable deployment. Develop web applications and dashboards using HTML, CSS, and JavaScript to visualize insights. Integrate AI-powered insights into restaurant POS systems and management software. Optimize AI models for real-time performance and accuracy. Collaborate with frontend and backend developers to integrate AI models into web applications. Ensure data security and compliance with industry standards. Skills Required: ✅ Strong proficiency in Python (for AI, ML, and backend development). ✅ Experience with Python libraries: OpenCV, TensorFlow, PyTorch, NumPy, Pandas, Flask. ✅ Knowledge of SQL (PostgreSQL, MySQL) & MongoDB for database management. ✅ Cloud computing skills in AWS (EC2, S3, Lambda, SageMaker). ✅ Web development fundamentals: HTML, CSS, JavaScript. ✅ Strong understanding of image processing and deep learning techniques. ✅ Experience in deploying AI models on cloud/edge devices. ✅ Familiarity with API development and system integration. Preferred Qualifications: Bachelor's/Master’s degree in Computer Science, AI, Data Science, or a related field. Experience with real-time video analytics or IoT in restaurants is a plus. Knowledge of Docker & Kubernetes for model deployment. Job Types: Full-time, Permanent Work Location: In person

Job Title: Data Scientist / Machine Learning Specialist Location: Hyderabad (Hybrid Model) Experience: 3 to 5 Years Compensation: Up to ₹30 LPA Joining: Immediate or Short Notice Preferred About the Role: We are looking for a highly skilled and motivated Machine Learning Specialist / Data Scientist with a strong foundation in data science and a deep understanding of clinical supply chain or supply chain operations. This individual will play a critical role in developing predictive models, optimizing logistics, and enabling data-driven decision-making within our clinical trial supply chain ecosystem. Key Responsibilities: * Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, and supply chain efficiency * Analyze clinical trial and logistics data to uncover insights and enable proactive planning * Collaborate with cross-functional teams including clinical operations, IT, and supply chain to integrate ML solutions into workflows * Build interactive dashboards and tools for real-time analytics and scenario modeling * Ensure models are scalable, maintainable, and compliant with regulatory frameworks (e.g., GxP, 21 CFR Part 11) * Stay up to date with the latest advancements in ML/AI and bring innovative solutions to complex clinical supply challenges Required Qualifications: * Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field * 3–5 years of hands-on experience in machine learning, data science, or AI (preferably in healthcare or life sciences) * Proven experience with clinical or supply chain operations such as demand forecasting, IRT systems, and logistics planning * Proficiency in Python, R, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch * Solid knowledge of statistical modeling, time series forecasting, and optimization techniques * Strong analytical mindset and excellent communication skills * Ability to thrive in a fast-paced, cross-functional environment Preferred Qualifications: * Experience working with clinical trial systems and data (e.g., EDC, CTMS, IRT) * Understanding of regulatory requirements in clinical research * Familiarity with cloud platforms such as AWS, Azure, or GCP * Exposure to MLOps practices for model deployment and monitoring Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Data science: 3 years (Required) Machine learning: 3 years (Preferred) Python: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

About Kanerika: Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2022 & 2023 by Great Place to Work®. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. NASSCOM Emerge 50 Award in 2014. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Recognized for ISO 27701, 27001, SOC2, and GDPR compliances. Featured as Top Data Analytics Services Provider by GoodFirms. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. - Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges. Benefits Employee Benefits 1. Culture: a. Open Door Policy: Encourages open communication and accessibility to management. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment. c. Flexible Working Hours: Allows employees to have flexibility in their work schedules. d. Employee Referral Bonus: Rewards employees for referring qualified candidates. e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. b. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: a. GMC and Term Insurance: Offers medical coverage and financial protection. b. Health Insurance: Provides coverage for medical expenses. c. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: a. Company-sponsored family events: Creates opportunities for employees and their families to bond. b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: a. Company-sponsored outings: Organizes recreational activities for employees. b. Gratuity: Provides a monetary benefit as a token of appreciation. c. Provident Fund: Helps employees save for retirement. d. Generous PTO: Offers more than the industry standard for paid time off. e. Paid sick days: Allows employees to take paid time off when they are unwell. f. Paid holidays: Gives employees paid time off for designated holidays. g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. b. Mentorship Program: Offers guidance and support from experienced professionals. c. Job Training: Provides training to enhance job-related skills. d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. e. Promote from Within: Encourages internal growth and advancement opportunities.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 3, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world's deadliest health threats. Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. Since 2017, we've worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day. The Digital Team at RTSL is implementing or helping to implement cutting-edge digital tools such as the Simple app, DHIS2 and Africa Covid Dashboard. We work with national and regional health organizations to accelerate progress and advancing the use of digital technologies to save lives through our approach of simplicity, speed, and scale. Position Purpose We are looking for a passionate Applied AI Engineer to join our innovative team, focusing on the exciting field of Large Language Models (LLMs) in the context of Public Health. In this role, you will lead the design, fine-tuning, deployment, and evaluation of AI/ML systems based on pre-trained models (e.g., LLaMA, Mistral, GPT, Phi) that help ease the lives of healthcare workers and clinicians. You will work closely with back-end and mobile engineers to bring cutting-edge AI capabilities to life. The ideal candidate will possess the expertise to leverage existing Large Language Models (LLMs) to train and evaluate models using program-specific clinical data (e.g., patient notes, SMS interactions, training materials or health worker feedback) and deploy within RTSL's digital health tools and global EHRs (e.g., Simple, BP Passport). Additionally, there is a strong likelihood of developing an open-source, locally runnable, adapted LLM to address cost and confidentiality concerns. You'll be working at the intersection of cutting-edge AI and grassroots public health. This is an opportunity to shape the future of digital health tools that are open source, impactful, real-world solutions for some of the most underserved populations globally. Our primary use cases for LLMs are anticipated to include (not limited to): Generating patient summaries specifically tailored for healthcare workers. A chatbot for appointment scheduling. Develop a predictive model to enhance and automate existing workflows. Optimized worklists for frontline workers. On-the-job training and ready-reckoner tools for healthcare professionals. Length of Engagement: This is a two-year fixed-term appointment with the possibility of extension based on available funding and mutual interest. Core Responsibilities The ideal candidate will perform duties and responsibilities such as, but not limited to, the following: Research, evaluate, and implement state-of-the-art LLMs. Fine-tune pre-trained models for specific tasks and datasets. Develop and deploy AI applications using Python. Perform data manipulation and analysis using Pandas to prepare data for model training and evaluation. Design and evaluate prompt engineering strategies for optimizing LLM outputs in specific public health contexts. Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows. Stay up to date with the latest advancements in AI, particularly in the LLM space. Apply responsible AI principles, including fairness, privacy, and transparency, especially in clinical and community health settings. Manage and lead the AI pilots/projects at RTSL. Train and upskill other engineers on the team. Qualifications Education Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning or a related field Experience 8 years of software development experience 3-5 years of experience in training and using AI models. Proven track record of using Large Language Models (LLMs) and building Predictive Models to meet user requirements Experience collaborating with multi-disciplinary and cross-functional teams Delivered LLM-based solutions in resource-constrained environments Hands-on experience with pre-trained AI models. Experience working in healthcare or public health settings (strong plus) Contributed to or maintained open-source AI/ML projects (strong plus). Familiarity with MLOps including model serving, performance monitoring, and lifecycle management, particularly in low-bandwidth or edge environments i(s a plus). Skills & A bilities Strong proficiency in Python programming. Strong experience in data manipulation using Pandas, NumPy, and data preprocessing techniques Familiarity with pre-train models Skilled in machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with AI Tools (Hugging Face, LangChain, ONNX, etc.) Strong understanding of AI ethics, data privacy, and bias mitigation techniques Excellent analytical and problem-solving skills Ability to communicate complex technical ideas clearly to non-technical stakeholders Ability to prototype and iterate quickly Comfortable working in agile, interdisciplinary teams across geographies Compensation and Benefits The salary for this role is competitive and set according to national labor rates for the international NGO sector in India. The exact offer will be determined by various factors, such as the candidate's location, skills and experience relative to the requirements of the role. In addition to a competitive salary, Resolve to Save Lives provides a generous package of benefits, including: Health insurance for you and your dependents Contributions toward retirement Paid annual leave and sick leave, in addition to public holidays Two paid, week-long organization-wide breaks at mid-year and end-of-year Professional development and home office setup benefits Up-to-date computer equipment RTSL believes its programs are strengthened when they are developed and supported by individuals with diverse life experiences whose understanding of social and cultural issues can help make our work and workforce more inclusive. We encourage applications from and provide equal employment opportunities to all qualified applicants without regard to race, color, religion, gender, gender identity or expression, ancestry, sexual orientation, national origin, age, disability, marital status, organ donor status, or status as a veteran. Resolve to Save Lives complies with all applicable US EEO laws.

About the Opportunity Job Type: Permanent Application Deadline: 05 August 2025 Title Senior Analyst - Data Science Department Enterprise Data & Analytics Location Gurgaon Reports To Gaurav Shekhar Level Data Scientist 4 We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger. About your team Join the Enterprise Data & Analytics team — collaborating across Fidelity’s global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making. About your role As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity Canada. This role is designed to turn advanced analytics into real-world impact—driving growth, enhancing client experiences, and informing high-stakes decisions. You’ll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc. Collaborating closely with business stakeholders, data engineers, and technology teams, you’ll translate complex challenges into scalable AI solutions. You’ll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes. About you You have 4–7 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. You’re skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring deep expertise in developing and deploying models on AWS SageMaker, strong business problem-solving abilities, and are familiar with emerging GenAI trends. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred. Feel rewarded For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 13+years. Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Exposure to graph-based models, knowledge graphs, and related query languages. Hands-on skills in data engineering and building robust ML pipelines. Experience with personalization engines and digital marketing platform integrations Architect scalable, cloud-based AI/ML solutions on AWS, Azure, or GCP, integrating data pipelines and AI services. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What you'll do: Design and build end-to-end intelligent solutions, from high-performance backend systems to AI-driven user experiences. Develop and deploy ML/AI models for personalization, recommendation systems, and customer analytics at scale. Take full ownership of features – from concept and architecture to development, testing, and production deployment. Collaborate with product designers, ML engineers, and business stakeholders to transform data into actionable intelligence. Contribute to system architecture, code reviews, and continuous improvement in agile, cross-functional teams What you Bring Solid foundation in data structures, algorithms, and machine learning fundamentals. Experience with modern ML/AI libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and deployment frameworks. Strong programming skills in Python and/or JavaScript, with exposure to cloud-native development. Prior exposure to agile methodologies, CI/CD, and collaborative development environments. Passion for working in diverse teams and a drive to innovate and push boundaries. Build full stack products, from pixel-perfect UIs to highly available backend systems. You own your code from ideation to development, through QA and support. Take end-to-end ownership of features from design and development through to deployment. Work together with design, frontend engineers and product management to deliver new and improve existing features. Collaborate across multiple product teams locally and in remote locations. Meet your Team Are you passionate about building intelligent, scalable products that transform how businesses engage with customers? Join SAP's Applications AI team – where we leverage data, AI, and cutting-edge cloud technologies to revolutionize Marketing, Sales, Service, Commerce, and Customer Data Management. Our goal is to deliver real-time personalization and data-driven insights that boost customer lifetime value and drive sustainable business growth. We are looking for Machine Learning / AI Developers eager to shape the future of enterprise AI applications, working on real-world problems at global scale. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 431676 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Role OverviewThe AI Scientist is a technical role responsible for the development of advanced AI components, models and systems. With 4+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, development of enterprise-grade implementation across ML, NLP, Deep Learning, Generative AI, and multi-modal based models applications. The individual is expected to contribute to execute on AI solutions initiatives..Responsibilities1. Generative & Agentic AI· Develop GenAI models/solutions for text generation and content automation.· Experience of working at any of the latest AI stacks like Nvidia- Nemo, NIM Microservices, Pytorch, Tensorflow etc.2. Large Language Models (LLMs)· Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, UnSloth etc frameworks· Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components· Experience in developing NLP components like QnA, chatbots, Summarization etc.· Experience in developing deep learning components like Image/Video/Audio processing/classification, OCR based components like Extraction etc.Skills1. Experience in any one Python/Java/R/.Net software languages.2. Experience in any three - Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Good to have experience in MLOps and AI deployment infrastructure.4. Good to have experience in AWS/Azure/Google Cloud Services(anyone).Qualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 4+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, desire to learn and innovate new solutions in AI domain. Qualifications B. Tech. + M.B.A. Job Location

We are for the role of AI/ML Developer Experience-2 years Location- Sector 21,Gurgaon Salary- As per last drawn CTC Responsibilities Design and implement machine learning models and AI algorithms Analyze and preprocess raw data for ML models Collaborate with data scientists and software engineers to integrate ML models into production systems Perform model training, validation, and testingMonitor and fine-tune model performance and scalability Stay updated with the latest hashtag#AI and hashtag#ML trends and technologies Document processes, models, and code in a clear and organized manner Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 2+ years of experience in machine learning, AI, or related fieldsStrong programming skills in Python or related languages Experience with ML frameworks and libraries such as TensorFlow,PyTorch, scikit-learn, Python, Data preprocessing, Model validation and testing, Version control (Git),Docker,SQL Proficiency in data preprocessing and feature engineering Strong problem-solving skills and analytical thinkingExcellent communication and teamwork skills Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Paid sick time Paid time off Schedule: Fixed shift Experience: AI: 1 year (Required) Machine learning: 1 year (Required) Work Location: In person Application Deadline: 08/10/2025

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turn key AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : ML Engineer Experience : 6-8 years Location : Pune/Indore office Work Mode : Onsite Notice Period : Immediate Joiner – 15 days Job Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Skills: panda,mlflow,large language models,python,mlops,pytorch,pandas,scikit-learn.,tensorflow,pyspark,scikit-learn,numpy,llms,mlfow,machine learning

We are seeking a passionate and experienced Full Stack AI/ML Engineer with a strong background in machine learning and a drive for building intelligent systems. As a Full-Stack AI/ML Engineer on the Ford Pro Charging team, you will design, build, and ship intelligent services that power our global EV-charging platform. If you love turning data into real-world impact and thrive on end-to-end ownership—from research notebooks to production APIs—this is your playground. Required Skills & Qualifications: Experience: 2+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles, with a proven track record of delivering production-grade AI/ML solutions (or equivalent demonstrable expertise). Technical Expertise: Proficiency in Python and strong experience with core AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Solid grasp of various machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures. Demonstrated experience applying machine learning to complex datasets, including structured and unstructured data. Proficient in API design (REST, GraphQL), microservices, and database design (SQL/NoSQL); production experience on at least one major cloud (AWS, Azure, or GCP). Practical knowledge of Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Argo, or similar). Problem-Solving: Excellent analytical and problem-solving skills, with proven ability to break down complex problems into iterative experiments and devise effective, scalable AI/ML solutions Enthusiasm & Learning: A genuine passion for technology, coupled with a self-driven commitment to continuous learning and mastery of new techniques. We value individuals who proactively identify challenges, conceptualize solutions, and lead ideation and innovation, beyond mere task execution Communication: Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related quantitative field. Bonus Points: Domain expertise in EV charging, smart-grid, or energy-management systems. Experience with distributed data technologies (Spark, Flink, Kafka Streams). Contributions to open-source ML projects or peer-reviewed publications. Knowledge of ethical and responsible AI frameworks, including bias detection and model explainability. Design & Develop AI Solutions: Lead the design, development, training, and evaluation of machine learning models and AI solutions across various domains to enhance our products and services. Identify AI Opportunities: Proactively identify and explore opportunities to apply data-driven solutions to improve existing products, optimize internal processes, and create new value propositions. Model Implementation & Optimization: Implement, optimize, and deploy various machine learning algorithms and deep learning architectures to solve complex problems. Data Management & Engineering: Collaborate with data engineers to ensure robust data collection, preprocessing, feature engineering, and pipeline development for effective model training and performance. Backend Integration: Design and implement robust APIs and services to integrate AI/ML models and solutions seamlessly into our existing backend infrastructure, ensuring scalability, reliability, and maintainability. Performance Monitoring & Improvement: Continuously monitor, evaluate, and fine-tune the performance, accuracy, and efficiency of deployed AI/ML models and systems. Research & Innovation: Stay abreast of the latest advancements in AI, ML, and relevant technologies, and propose innovative solutions to push the boundaries of our product capabilities. Testing & Deployment: Participate in the rigorous testing, deployment, and ongoing maintenance of AI/ML solutions in production environments.

🔬 Exciting Opportunity for JRF Position 🔬 Department of Computer Science & Engineering is hiring Junior Research Fellow (JRF) for project titled: "Generative Adversarial Networks (GANs) based Framework for Multi-View Synthesis and Decision-Making in Autonomous Systems" funded by the Anusandhan National Research Foundation (ANRF) at National Institute of Technology Hamirpur (NITH). 📌 Position Details: Role: Junior Research Fellow (JRF) - 01 Position Duration: Initially 1 year (extendable based on performance) Fellowship: As per ANRF norms Project Focus: GANs for multi-view image synthesis AI-driven decision-making in autonomous systems (drones/robots) ✅ Eligibility: Essential: M.E./M.xn--ech-7ed. in CSE/IT/ECE/Allied branch or Master in Computer Application/ M.Sc (IT/CS/ Allied branch) AND B.E./B.Tech. in CSE/IT/ECE/Allied branch or Bachelor in Computer Application /B.Sc. (IT/CS/Math) with at least 60% marks in Bachelor & Master Degree from a recognized University/Institute. AND Candidate must be qualified UGC National Eligibility Tests (NET) including lectureship (Assistant Professorship) or GATE as per ANRF Guidelines. Desirable : Experience in Python, Deep Learning (PyTorch/TensorFlow), GANs, or Computer Vision 📝 How to Apply? Send application form as per available at NIT Hamirpur website and email to PI Email: robin.bhadoria@nith.ac.in Email Subject Line: "Application for JRF Position – ANRF Project" Last Date: 21st - August- 2025 🔗 Full Advertisement & Application Form: https://nith.ac.in/uploads/files/aug25/advt-jrf.pdf 🌐 Why Join? Work on next-gen AI for autonomous systems Collaborate with top researchers & industry partners Publish in SCI/SCOPUS journals & attend international conferences 📢 Tag/Tag someone who’d be a great fit! #ResearchOpportunity #AI #MachineLearning #GANs #AutonomousSystems #JRF #ANRF #DeepLearning #ComputerVision #NITHamirpur

Vice President, Data Scientist I At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Data Scientist I to join our BNY team. This role is in Chennai, TN –HYBRID. In this role, you’ll make an impact in the following ways: Mining or extracting useful data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Preprocessing structured and unstructured data. Enhancing data collection procedures to include relevant information for analytic systems Processing, cleansing, and verifying the data quality for analysis. Working with colleagues in other departments to improve business outcomes. Creating and applying custom data models and algorithms to data sets. Keeping up with and contributing to the latest AI research, applying new findings to ongoing projects. Ensuring ethical AI development practices, focusing on fairness, transparency, and privacy. Leading the design, development, and implementation of LLMs and ML models for NLP applications. Working with cross-functional teams to define requirements, conduct experiments, and evaluate models for performance and scalability. Staying on top of the latest developments in LLMs, ML, and NLP technologies and applying them to enhance our products and services. Mentoring junior engineers and providing technical guidance on LLMs, ML, and NLP best practices. To be successful in this role, we’re seeking the following: Bachelor's degree in Computer Science, Engineering, or related field etc. Knowledge of financial domain and investment banking is a plus. Knows data well and has working knowledge of various Big Data technologies and their use in AI/ML. Has expertise in statistics and probability, and the various evaluation metrics related to different algorithms. Has built machine learning models including data preparation techniques, feature engineering techniques, and related ML algorithms to solve real world problems. Proficient in Python and common machine learning and AI frameworks and packages, such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Experience in Data Science development lifecycle, project implementation methodologies such as agile etc. and stays current with the AI research areas and current trends. Expertise in handling large and complex datasets, with a keen ability to uncover insights that drive strategic decisions. Advanced proficiency in data visualization and the creation of dashboards and protypes that communicate insights clearly. Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Job DescriptionDesign, develop, and deploy ML/DL models (including Generative AI) using Python. Apply NLP techniques for text analysis and model building. Conduct data preprocessing, feature engineering, and model evaluation. Collaborate with teams to understand needs and deliver AI solutions. Stay updated with the latest advancements in relevant AI fields. Deploy and monitor ML models in production environments.Good Knowledge of AWS/Azure cloud is goodRequired Skills and Qualifications:Proficiency in Python and relevant ML/DL libraries (e.g., scikit-learn, TensorFlow, Kera’s, PyTorch). Strong understanding and practical application of Machine Learning and Deep Learning algorithms. Experience with Natural Language Processing (NLP) techniques and libraries. Familiarity with Generative AI models and their applications. Experience in data preprocessing, feature engineering, and model evaluation. Ability to deploy and monitor machine learning models. Excellent analytical and problem-solving skills. Strong communication skills to present data insights to stakeholders.Ability to work independently and as part of a team. Qualifications Graduate/Post Graduate

Posted On: 31 Jul 2025 Location: Noida, UP, India Company: Iris Software Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description AWS data developers with 8-10 years experience – certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Beh - Communication Big Data - Big Data - Pyspark Database - Database Programming - SQL Programming Language - Python - Apache Airflow Perks and Benefits for Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: Airflow, LLMs, MLOps, Generative AI, Python Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's In It For You You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required Skills And Experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. 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We are seeking a highly analytical and technically skilled Data Analyst with hands-on experience in Machine Learning to join our team. The ideal candidate will be responsible for analyzing large datasets, generating actionable insights, and building ML models to drive business solutions and innovation. Key Responsibilities: Collect, clean, and analyze structured and unstructured data from multiple sources. Develop dashboards, visualizations, and reports to communicate trends and insights to stakeholders. Identify business challenges and apply machine learning algorithms to solve them. Build, evaluate, and deploy predictive and classification models using tools like Python, R, Scikit-learn, TensorFlow, etc. Collaborate with cross-functional teams including product, marketing, and engineering to implement data-driven strategies. Optimize models for performance, accuracy, and scalability. Automate data processing and reporting workflows using scripting and cloud-based tools. Stay updated with the latest industry trends in data analytics and machine learning. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field . 2+ years of experience in data analytics and machine learning. Strong proficiency in SQL , Python (Pandas, NumPy, Scikit-learn), and data visualization tools like Tableau, Power BI , or Matplotlib/Seaborn . Experience with machine learning techniques such as regression, classification, clustering, NLP, and recommendation systems. Solid understanding of statistics, probability, and data mining concepts. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Excellent problem-solving and communication skills. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Ability to commute/relocate: Kalighat, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Preferred) Language: English (Preferred) Work Location: In person