9631 Tensorflow Jobs - Page 11

Job Description 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. Responsibilities 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. Qualifications 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.

Job Information Date Opened 07/31/2025 Job Type Full time Work Experience 5+ years Industry Technology City Hyderabad State/Province Telangana Country India Zip/Postal Code 500032 Job Description 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.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : Join one of the world’s largest and most innovative Media & Entertainment companies as a QA Engineer - AI/ML , where you’ll ensure the quality and reliability of cutting-edge AI and machine learning solutions that are transforming the industry. Our AI/ML-powered systems play a crucial role in optimizing content production, personalization, and consumer engagement, and your contributions will be instrumental in delivering seamless, scalable, and efficient solutions to our global audience. As a QA Engineer specializing in AI/ML, you’ll work closely with data scientists, software engineers, and product teams to rigorously test AI models, data pipelines, and machine learning platforms. Your role will involve defining and implementing robust quality assurance practices for complex AI systems, ensuring they meet the highest standards of performance, scalability, and security. If you are passionate about AI, testing, and driving quality excellence in a dynamic environment, this is your opportunity to make an impact. 1. Quality Assurance for AI/ML Models and Pipelines Develop and execute comprehensive test plans, test cases, and test scripts to validate AI/ML models and data pipelines. Perform rigorous testing of machine learning models to ensure accuracy, reliability, and robustness under various scenarios. Validate data preprocessing, feature engineering, and model training pipelines for correctness and consistency. Identify and address performance bottlenecks in AI systems, ensuring scalability for large datasets and real-time applications. Collaborate with data scientists to validate model outputs and metrics against business requirements. 2. Automation Testing and Tool Development Design and implement automated test frameworks and tools tailored for AI/ML workflows. Automate testing of model deployments, APIs, and data pipelines using industry-standard tools and frameworks. Create scripts to simulate edge cases, stress conditions, and user interactions for AI systems. Build monitoring tools to assess AI model drift, data inconsistencies, and system performance post-deployment. Continuously enhance automation coverage and testing efficiency through innovative practices. 3. Collaboration and Cross-Functional Engagement Work closely with software engineers, data engineers, and product managers to align QA strategies with project goals. Participate in code reviews, design discussions, and sprint planning to incorporate QA perspectives early in the development lifecycle. Provide actionable feedback and insights to development teams to resolve issues and improve system quality. Support end-to-end integration testing of AI/ML solutions across multiple platforms and systems. Act as a quality advocate, promoting best practices for testing and validation within the organization. 4. Governance, Compliance, and Reporting Ensure compliance with data privacy, security, and ethical AI standards during testing and deployment. Develop and maintain comprehensive documentation for QA processes, test cases, and system validations. Monitor and report on key QA metrics, including defect rates, coverage, and system reliability. Support regulatory audits and reviews by providing required testing documentation and evidence. Stay up-to-date with industry trends, tools, and practices in QA for AI/ML systems. 5. Continuous Improvement and Innovation Research and adopt emerging technologies and frameworks for AI/ML testing and validation. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of QA processes. Proactively identify and resolve quality gaps in AI/ML workflows, ensuring a seamless user experience. Contribute to building a culture of quality and accountability within the AI/ML team. Mentor junior team members on QA best practices and technical skills. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. Certifications in software testing (e.g., ISTQB, CSTE) or machine learning (e.g., AWS ML, TensorFlow Developer) are a plus. Professional Experience: 3 + years of experience in QA engineering, with at least 1 + years focused on testing AI/ML systems. Proven expertise in testing machine learning models, data pipelines, and cloud-based AI solutions. Hands-on experience with test automation tools and frameworks such as Selenium, PyTest, JUnit, or similar. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps. Solid understanding of software testing methodologies, including functional, regression, performance, and stress testing. Technical Skills: Proficiency in Python or Java, with experience in writing test scripts for AI/ML applications. Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with testing tools specific to AI/ML, such as DeepChecks or Alibi. Familiarity with data querying languages (SQL) and data processing tools (Pandas, Spark). Understanding of cloud platforms (AWS, GCP, Azure) and their AI/ML services. Other Skills: Strong analytical and problem-solving skills, with a detail-oriented approach. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team. Passion for quality and a commitment to delivering exceptional results. Ability to adapt to a fast-paced and dynamic environment while maintaining a focus on continuous improvement. Self-motivated and proactive, with a drive to stay updated on industry trends and best practices. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Job Title: Data Scientist – Python Experience: 3 to 6 Years Location: Remote Job Type: Full-Time Education: B.E./B.Tech or M.Tech in Computer Science, Data Science, Statistics, or a related field Job Summary We are seeking a talented and results-driven Data Scientist with 3–6 years of experience in Python-based data science workflows. This is a remote, full-time opportunity for professionals who are passionate about solving real-world problems using data and statistical modeling. The ideal candidate should be highly proficient in Python and have hands-on experience with data exploration, machine learning, model deployment, and working with large datasets. Key Responsibilities Analyze large volumes of structured and unstructured data to generate actionable insights Design, develop, and deploy machine learning models using Python and related libraries Collaborate with cross-functional teams including product, engineering, and business to define data-driven solutions Develop data pipelines and ensure data quality, consistency, and reliability Create and maintain documentation for methodologies, code, and processes Communicate findings and model results clearly to technical and non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Skills & Qualifications 3–6 years of experience in a data science role using Python Proficiency in Python data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) Strong statistical analysis and modeling skills Experience with machine learning algorithms (classification, regression, clustering, etc.) Familiarity with model evaluation, tuning, and deployment techniques Hands-on experience with SQL and working with large databases Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Experience with version control (Git), Jupyter notebooks, and collaborative data tools Preferred Qualifications Advanced degree (Master’s preferred) in Computer Science, Data Science, Statistics, or a related discipline Experience with deep learning frameworks like TensorFlow or PyTorch is a plus Familiarity with MLOps tools such as MLflow, Airflow, or Docker Experience in remote team collaboration and agile project environments What We Offer 100% remote work with flexible hours Competitive compensation package Access to cutting-edge tools and real-world projects A collaborative and inclusive work culture Opportunities for continuous learning and professional development Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Role : AI Engineer Location : Banglore, Hyderabad Experience : 3+ years Employment Type : Longterm contract role Work Mode : Initially it is Remote, After as per client requirement you have work in Client location Job Description : LLM Applied AI & Generative AI (Gen AI) This role combines expertise in Large Language Models (LLMs) with Generative AI (Gen AI) to develop and implement innovative solutions. You'll be at the forefront of AI technology, applying your skills to real-world problems. Here's a breakdown of the typical responsibilities: Research and Development Conduct research to push the boundaries of LLMs and Gen AI Design and implement algorithms for LLM training and Gen AI tasks Stay up-to-date on the latest advancements in LLM and Gen AI research Prompt Engineering and Prompt chains Fine-tune LLM models for specific applications Develop and integrate Gen AI models into various applications Optimize models for performance, scalability, and efficiency Deploy models into production environments Applications and Use Cases Identify and develop solutions using LLMs and Gen AI for real-world challenges Collaborate with cross-functional teams (e.g., engineers, product managers) to integrate LLM/Gen AI solutions Design and conduct proof-of-concept (POC) projects to demonstrate feasibility Minimum Qualifications Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience. Experience with LLM/Gen AI frameworks, libraries like LangChain and tools Understanding of machine learning concepts and best practices Programming experience with Python Familiarity with Applied AI use cases and solutions Excellent communication and collaboration skills Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. This is a rapidly evolving field, so the specific requirements may vary. But if you're passionate about AI and eager to apply it to solve real problems, then an LLM Applied AI & Gen AI role could be a great fit for you. Job Type: Contractual / Temporary Contract length: 12 months Benefits: Provident Fund Schedule: Day shift Work Location: In person

DESCRIPTION We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world BASIC QUALIFICATIONS Experience building machine learning models or developing algorithms for business application PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. communication and collaboration skills to effectively work with cross-functional teams. PREFERRED QUALIFICATIONS Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Data Science

Job Description: Designation: Senior Full Stack Developer (Python+ Angular + GCP/AWS/Azure) Qualification: Any UG / PG Degree / Computer / Engineering Graduates Experience: Min. 5+ Years Gender: Male / Female Job Location: Trivandrum / Kochi (KERALA) Job Type: Full Time | Day Shift | Permanent Job | Sat & Sun Week Off Working Time: 12:01 PM to 9:00 PM Project: European client | Shift: Mid Shift (12:01PM TO 9:00PM) | WFO Salary: Rs.15,00,000 to 20,00,000 LPA Introduction We are looking for a Senior Full stack (Python & Angular) Developer who will take ownership of building and maintaining complex backend systems, APIs, and applications using Python and for frontend with Angular Js. Profiles with BFSI - Payment system integrations experience is desired. Responsibilities include: Design, develop, and maintain backend applications, APIs, and services using Python. Write clean, maintainable, and scalable code following industry standards and best practices. Optimize application performance and ensure high availability and scalability. Review code and mentor junior developers to ensure code quality and foster knowledge sharing. Implement unit and integration tests to ensure application robustness. Set up and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI . Collaborate with DevOps to deploy applications on cloud platforms, preferably Google Cloud Platform (GCP). Design and build cloud-native applications using APIs, containers, and Kubernetes. Leverage GCP services to develop scalable and efficient solutions. Ensure application security, manage access controls, and comply with data privacy regulations. Work closely with frontend developers, DevOps engineers, and product managers for seamless project delivery. Design, manage, and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB). Monitor application performance using tools like Prometheus, Grafana, or Datadog. Build dynamic, responsive UIs using Angular and JavaScript . Develop and maintain reusable Angular components in collaboration with UX/UI teams . Primary Skills: 5+ years of experience as a Python developer, with a focus on Product development (BE+FE development). Hands on experience in Angular Js. Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. Python- FastAPI (Flask/Django) API Development (RESTful Services) Cloud Platforms – Google Cloud Platform (GCP)prefferd. Familiarity with database management systems– PostgreSQL, MySQL, MongoDB and ORMs (e.g., SQLAlchemy, Django ORM). Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI Frontend Development – JavaScript, Angular Code Versioning – Git Testing – Unit & Integration Testing Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. Secondary Skills: Monitoring Tools – Prometheus, Grafana, Datadog Security and Compliance Standards – GDPR, PCI, Soc2 DevOps Collaboration UX/UI Collaboration for Angular components Experience with asynchronous programming (e.g., asyncio, Aiohttp). Experience with big data technologies like Spark or Hadoop. Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Job Role : Sr Full Stack Developer (Python+ Angular + GCP/AWS/Azure ) Location : 100% Remote Experience: 5-7 Years Job Type: Contract Contract Duration: 6 months Cost: Upto 90k per month Working Hours:- 12:00 PM to 09:00 PM IST. PRIMARY SKILLS: ➢ Bachelor//'s or Master//'s degree in Computer Science, Information Technology, or a related field. ➢ 5-7 years of experience as a Python developer, with a focus on Product development (BE+FE development). ➢ Hands on experience in Angular Js. ➢ Proven experience in designing and deploying scalable applications and microservices. App Integration experience is prefferd. ➢ Python- FastAPI (Flask/Django) ➢ API Development (RESTful Services) Cloud Platforms – Google Cloud Platform (GCP)prefferd. Familiarity with database management systems– PostgreSQL, MySQL, MongoDB and ORMs (e.g., SQLAlchemy, Django ORM). Knowledge of CI/CD pipelines – Jenkins, GitLab CI, CircleCI Frontend Development – JavaScript, Angular Code Versioning – Git Testing – Unit & Integration Testing ➢ Strong understanding of security principles, authentication (OAuth2, JWT), and data protection. SECONDARY SKILLS(IF ANY): ➢ Monitoring Tools – Prometheus, Grafana, Datadog Security and Compliance Standards – GDPR, PCI, Soc2 DevOps Collaboration UX/UI Collaboration for Angular components ➢ Experience with asynchronous programming (e.g., asyncio, Aiohttp). ➢ Experience with big data technologies like Spark or Hadoop. ➢ Experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plu

Key Responsibilities Conduct structured and interactive training sessions on core AI concepts including Machine Learning, Deep Learning, and Data Science tools. Develop and maintain engaging course content—slide decks, coding notebooks, real-world datasets, projects, and assessments. Guide students through hands-on labs, algorithm implementation, and use-case-based projects. Evaluate student progress via quizzes, assignments, capstone projects, and provide personalized feedback. Stay updated with the latest trends in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Collaborate with the curriculum team to refine learning paths and keep content industry-relevant. Contribute to faculty discussions to ensure quality training delivery and continuous improvement. Job Type: Full-time Work Location: In person

AI Learning Experience Designer As an AI Learning Experience Designer (ID/LED), you will be responsible for designing and contextualizing cutting-edge, instructor-led AI training programs for both technical and non-technical audiences. You will collaborate with subject matter experts (SMEs), instructional designers, and product managers to create engaging, outcome-driven learning experiences that help learners grasp, apply, and innovate with AI technologies. Terms and Details: ● This is a flexible, contractor position on a per-project basis ● We would expect someone to provide at least 15-20 hours per week when on a project ● This role will be 100% remote Requirements: ● Has created content for an instructor-led program that focuses on AI concepts. ● Background in a client-facing role, either supporting or managing, is highly desirable ● Experience collaborating with AI subject matter experts to translate complex concepts into structured, engaging learning experiences. ● 7+ years of instructional design or learning experience design with a focus on AI, data science, or emerging technologies. ● Knowledge of instructional design methodologies, including Bloom’s Taxonomy, ADDIE, and experiential learning models. ● Strong knowledge of AI concepts such as machine learning, large language models (LLMs), neural networks, and ethical AI considerations. ● Thrives working in fast-paced, dynamic environments. ● Familiarity with Google Suite, and LMS content management and authoring tools. ● Willingness to flex your schedule to join meetings in different time zones, particularly in the United States and Europe, Middle East, and Asia. Nice to Have: ● Technical proficiency in AI and coding (Python, TensorFlow, PyTorch, or similar AI frameworks). Including knowledge of GitHub. ● Familiarity with Virtual Machines (VM) ● Hands-on experience developing AI training labs, coding exercises, or real-world AI case studies. Key Responsibilities: Discovery ● Work with leading LED or project managers to define key skills, competencies, learning objectives and pathways within the discipline. ● Support sales teams or product teams in identifying client and learner needs and goals and proposing learning solutions. Design & Development ● Follow our client's design and development standards, best practices, and processes for core and customized curriculum, materials, and assets. ● Design and develop AI-focused learning experiences that cater to learners at varying levels of expertise and technical proficiency. ● Create instructor-led training materials (slides, hands-on labs, case studies, assessments) aligned with best practices in AI education. ● Partner with AI subject matter experts (SMEs) to design practical, interactive exercises, such as coding challenges, AI model-building workshops, and ethical AI decision-making scenarios. ● Curate and contextualize existing AI content to align with emerging industry trends, ensuring materials are always relevant and up to date. ● Design structured learning pathways for AI skills development, from foundational AI literacy to advanced deep learning applications. ● Work with vendors, contractors and freelancers in content, assessment, and support material production. Delivery ● Develop instructor enablement materials to support live classroom training delivery (e.g., facilitator guides, learner workbooks, real-world case studies). ● Provide guidance to instructors on best practices for AI education, including effective strategies for live coding demonstrations, interactive discussions, and problem-solving activities. ● Work closely with instructors, learning facilitators, and client teams to tailor learning programs for diverse audiences, including enterprise clients, startups, and government organizations. ● Collect, synthesize and analyze data on learning impact for continuous improvement, refinement, and content updating. ● Where applicable, work with translation vendors in the localization of content. Productization ● Work with product management and learning teams to standardize patterns and components for base curricular products. ● Work with product management and learning teams to build out the library of product components, exemplars, and documentation.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title : Python Developer (Deep Learning / AI) Job Summary : We are seeking a highly skilled and experienced Python Developer with a strong background in Deep Learning to join our dynamic AI/ML team. The ideal candidate will be instrumental in designing, developing, and deploying advanced deep learning models, with a particular focus on face recognition systems and other computer vision applications. You will work on the entire ML lifecycle, from data acquisition and model training to deployment and optimization, contributing directly to our core AI initiatives. Key Responsibilities : ● Design, develop, and implement robust and scalable deep learning models for face recognition, object detection, and other computer vision tasks. ● Develop and maintain high-quality Python code for data preprocessing, model training, evaluation, and deployment. ● Collaborate with data scientists, AI researchers, and software engineers to integrate deep learning solutions into existing and new products. ● Perform extensive data analysis, feature engineering, and data augmentation to prepare datasets for deep learning models. ● Evaluate, optimize, and fine-tune deep learning models for performance, accuracy, and efficiency in production environments. ● Stay up-to-date with the latest advancements in deep learning, computer vision, and AI research, and apply relevant techniques to projects. ● Implement and adhere to best practices for MLOps, including version control, continuous integration/deployment (CI/CD) for ML models, and model monitoring. ● Contribute to the entire machine learning lifecycle, from problem definition and data exploration to model deployment and maintenance. ● Ensure the ethical and responsible development of AI systems, with a focus on bias detection and mitigation, and data privacy (e.g., GDPR compliance). Qualifications : Education : ● Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. A Ph.D. is a plus. Experience : ● 3+ years of professional experience as a Python Developer, with a significant focus on deep learning projects. ● Proven experience in developing and deploying computer vision applications, specifically face recognition systems. Technical Skills : ● Expert-level proficiency in Python and its ecosystem for AI/ML (NumPy, Pandas, Matplotlib, Seaborn). ● Strong expertise in Deep Learning frameworks: TensorFlow and/or PyTorch (including Keras). ● In-depth knowledge of Convolutional Neural Networks (CNNs) and other relevant neural network architectures (e.g., RNNs, GANs, Transformers). ● Solid understanding of Computer Vision fundamentals and practical experience with libraries like OpenCV. ● Experience with face detection, face alignment, feature embedding (e.g., FaceNet), and face matching algorithms. ● Familiarity with liveness detection techniques is highly desirable. ● Proficiency in data manipulation, preprocessing, and feature engineering for large datasets. ● Strong understanding of core mathematical concepts: linear algebra, calculus, probability, and statistics. ● Experience with cloud platforms (AWS, Azure, GCP) for training and deploying ML models. ● Familiarity with MLOps tools and practices (e.g., Docker, MLflow, Kubernetes). ● Experience with version control systems (Git). Soft Skills ● Excellent problem-solving and analytical abilities. ● Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. ● High degree of curiosity and a passion for continuous learning in the rapidly evolving AI field. ● Proactive, adaptable, and able to work effectively in a fast-paced, team-oriented environment. ● Commitment to ethical AI development and data privacy. Bonus Points : ● Experience with other programming languages like C++ or Java for high-performance computing. ● Contributions to open-source AI/ML projects or relevant publications. ● Experience with distributed computing for large-scale model training. ● Knowledge of specialized hardware for AI (GPUs, TPUs). Interested candidates can forward their resume at hr@axepertexhibits.com or call at 9211659314. Job Type: Full-time Pay: ₹35,000.00 - ₹60,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

Dear Candidate, Greetings from Genworx.ai About Us: Genworx.ai is a pioneering startup at the forefront of generative AI innovation, dedicated to transforming how enterprises harness artificial intelligence. We specialize in developing sophisticated AI agents and platforms that bridge the gap between cutting-edge AI technology and practical business applications. We have an opening for Full Stack Developer (Generative AI) position at Genworx.ai. please find below detailed Job Description for your understanding. Required Skills and Qualifications: Job Title: Full Stack Developer (Generative AI) Experience: 5+yrs No of Opening: 5 Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field Work Location: Chennai Job Type: Full-Time Website: https://genworx.ai/ Key Responsibilities: 1. Problem Solving and Design: Analyse and address complex challenges in generative AI and application development. Debug and troubleshoot application and AI workflow issues for optimal performance Propose and implement scalable, efficient solutions tailored to real-world use cases. 2. Software Development and Integration: Coding: Design, Develop, test, and maintain front-end and back-end components for generative AI applications. Integration: Implement and manage APIs to integrate AI models into web and mobile platforms. Debugging: Debug and resolve application issues, ensuring smooth operation and integration. Build and maintain CI/CD pipelines for seamless deployment of AI-driven applications. Implement DevOps best practices to ensure efficient and secure operations. 3. Generative AI Development: Collaborate with machine learning teams to integrate pre-trained AI models into scalable applications. Work with state-of-the-art models, including large language models (LLMs), image generators, and more. Integrate pre-trained models, including large language models (LLMs). Optimize AI solutions for performance, scalability, and reliability. Experiment with new generative AI frameworks and technologies to enhance application capabilities. 4. Operational Excellence: Maintain high standards of performance, security, and scalability in design and implementation. Monitor and troubleshoot system performance to ensure reliability. Document technical workflows and ensure team adherence to operational guidelines. 5. Team Collaboration and Mentorship: Work closely with cross-functional teams, including product managers, ML engineers, and designers, to deliver high-quality solutions. Mentor junior engineers, fostering a collaborative and learning-oriented environment. Participate in code reviews, brainstorming sessions, and team discussions. 6. Continuous Learning and Innovation: Stay updated on the latest trends in generative AI, cloud platforms, and full-stack development. Experiment with emerging tools and frameworks to enhance system capabilities. Technical Skills: Proficiency in front-end technologies: HTML, CSS, JavaScript (React, Angular, or Vue.js). Proficiency in back-end technologies: Node.js, Python, or Java. Strong understanding of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI). Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Nice-to-Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization tools (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Understanding of transformer models like GPT, BERT, or similar architectures. Exposure to Agile development practices. Problem Solver: Ability to address and solve technical challenges effectively. Team Player: Collaborative and proactive attitude in achieving team goals. Strong communication skills to explain technical concepts clearly. Interested candidates, kindly send your updated resume and a link to your portfolio to anandraj@genworx.ai. Thank you Regards, Anandraj B Lead Recruiter Mail ID: anandraj@genworx.ai Contact: 9656859037 Website: https://genworx.ai/ Job Type: Full-time Pay: ₹500,000.00 - ₹4,000,000.00 per year Benefits: Cell phone reimbursement Food provided Health insurance Life insurance Paid sick time Provident Fund

Job Title: Associate AI/ML Engineer Location: Infopark, Kochi Company: TechTaliya Informatics Pvt. Ltd. Position Type: Full-Time Role Overview: TechTaliya Informatics Pvt. Ltd. is looking for a proactive and detail-oriented Associate AI/ML Engineer to join our growing team at Infopark, Kochi. This is an excellent opportunity for recent graduates or professionals with up to one year of experience who are enthusiastic about building a career in Artificial Intelligence and Machine Learning. You will work on real-world problems, assist in developing and deploying AI/ML models, and support the creation of intelligent solutions across various business domains. This role is ideal for someone eager to grow in a fast-paced environment focused on next-generation technologies. Key Responsibilities: • Assist in collecting, cleaning, and preparing structured and unstructured data for AI/ML workflows. • Perform exploratory data analysis (EDA) to uncover patterns, correlations, and insights. • Develop and test basic machine learning models under the guidance of senior engineers. • Support the creation of AI-powered features such as recommendation systems, predictive analytics, and natural language understanding components. • Collaborate with cross-functional teams to define data requirements and model objectives. • Contribute to the design and implementation of data pipelines and model deployment processes. • Research and experiment with open-source ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. • Document model training, evaluation results, and continuously monitor model performance in production environments. Required Skills & Qualifications: • Bachelor’s degree in Engineering (preferably BTech in AI/ML, IT, or related field) with a focus on Data Science, Analytics, or Statistics. • Strong analytical and quantitative skills, with a solid foundation in data analysis concepts. • Familiarity with data manipulation tools and libraries (e.g., Pandas, NumPy). • Basic understanding of machine learning algorithms and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). • Exposure to large language models (LLMs) and their real-world applications is a plus. • Proficiency in English with strong written and verbal communication skills. • A team player with a collaborative mindset and a willingness to learn and adapt. What We Offer: • A dynamic and supportive environment to kickstart your career in analytics. • Mentorship and guidance from experienced professionals in the data science domain. • Hands-on experience with real-world datasets and analytics tools. • Opportunities for career growth and skill development. • Competitive entry-level compensation and employee benefits.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. RESPONSIBILITIES Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. QUALIFICATIONS Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our Current Technical Environment Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What We Are Looking For Bachelor’s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What You Will Do As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

We are looking for a passionate and knowledgeable AI Tutor to help students and professionals build a strong foundation in Artificial Intelligence . You will be responsible for designing and delivering engaging content, guiding learners through practical projects, and simplifying complex concepts in AI, machine learning, and prompt engineering. ✅ What You’ll Do: Teach AI-related concepts such as machine learning, deep learning, NLP, and generative AI Guide students through hands-on projects and real-world applications Develop and deliver online/offline course materials and assessments Offer 1:1 mentoring or group sessions as needed Stay up to date with the latest trends and tools in AI (like ChatGPT, Midjourney, LangChain, etc.) Provide feedback and support to learners throughout the course ✅ Requirements: Strong knowledge of AI/ML concepts and tools (Python, TensorFlow, OpenAI, etc.) Prior teaching, tutoring, or mentoring experience (preferred) Ability to break down technical topics into simple, engaging lessons Excellent communication and presentation skills Bachelor’s degree in Computer Science, AI, or related field (or relevant certifications) Job Type: Part-time Pay: ₹250.00 - ₹300.00 per hour Expected hours: 10 – 20 per week Work Location: In person

Hello, We are seeking a highly skilled and motivated Python Developer having 2 to 3 years of expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our technology team. The ideal candidate will have a strong foundation in Python programming, experience with AI/ML frameworks, and the ability to build scalable, intelligent systems that solve real-world problems. Experience : Minimum 2 to 3 years Required Skills: Programming: Strong proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, etc. AI/ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar libraries. Understanding of supervised, unsupervised, and deep learning algorithms. Data Handling: Expertise in data preprocessing, feature engineering, and visualization. Familiarity with SQL and NoSQL databases. Tools & Technologies: Experience with Jupyter Notebooks, Git, Docker, and REST APIs. Familiarity with cloud platforms like AWS, Azure, or GCP is a plus. Soft Skills: Problem-solving and analytical thinking. Effective communication and teamwork. Self-motivated and adaptable to fast-changing environments. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. 2+ years of experience in Python development with a focus on AI/ML. Previous experience in deploying ML models to production environments. Key Responsibilities: 1. Design, develop, and deploy AI/ML models using Python and associated frameworks. 2. Collaborate with data scientists, engineers, and product teams to implement intelligent features in applications. 3. Collect, preprocess, and analyze structured and unstructured data for training and evaluation. 4. Build APIs or services to serve AI/ML models in production environments. 5. Optimize model performance and monitor outcomes for accuracy and relevance. 6. Research and implement best practices, tools, and technologies in the AI/ML ecosystem. 7. Maintain proper documentation and version control of code and models. 8. Ensure scalability, efficiency, and security of deployed solutions. Work location : Madurai & Madurai based candidates are highly preferred. Office timings : 10 AM to 7:30 PM Interested candidates can forward their updated resume to this Whatsapp Number +918122781352 Telephonic interview will be initially held for the experienced candidates & Based on the performance further details will be discussed. Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹30,000.00 per month Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Job Title: AI/ML Engineer (1–3 Years Experience) Location: Bangalore Job Summary: We are seeking a motivated AI/ML Engineer with 1–3 years of experience to join our team. The ideal candidate will have a strong foundation in machine learning and a passion for deploying AI solutions to solve real-world problems. Key Responsibilities: Design, develop, and deploy machine learning models for various applications. Collaborate with cross-functional teams to integrate ML solutions into products. Implement data preprocessing and feature engineering pipelines. Monitor and maintain deployed models to ensure performance and accuracy. Stay updated with the latest advancements in AI/ML technologies. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 1–3 years of experience in machine learning or AI development. Proficiency in Python and ML frameworks such as TensorFlow or PyTorch. Experience with data manipulation libraries like Pandas and NumPy. Familiarity with model deployment tools and MLOps practices. Job Type: Full-time Pay: ₹473,218.22 - ₹895,695.07 per year Application Question(s): What is your Notice period ? Experience: AI/ML: 1 year (Required) Work Location: In person

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications. Optimize model inference for performance and cost-efficiency. Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers. Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG. Build robust backend infrastructure to support AI-driven applications. Implement and manage MLOps pipelines for full AI lifecycle management. Design systems for continuous monitoring and evaluation of ML and LLM models. Create automated testing frameworks to ensure model quality and performance. Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field. 4+ years of experience in AI/ML engineering, software development, or data-driven solutions. LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers). Understanding of inference optimization techniques: quantization, pruning, caching, and serving. Skilled in prompt engineering and design, including RAG techniques. Familiarity with AI evaluation frameworks and metrics. Experience designing automated evaluation and continuous monitoring systems. Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask. Experience building RESTful APIs and real-time systems. Knowledge of vector databases and traditional databases. Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services. MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT). Experience with Docker and Kubernetes for deploying ML workloads. Ability to build monitoring systems for performance tracking and alerting. Experience building evaluation systems using custom metrics and benchmarks. Proficient in CI/CD and automated deployment pipelines. Experience with orchestration tools like Airflow. Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex). Familiarity with LLM-specific monitoring tools and general ML monitoring systems. Experience with distributed training and inference on multi-GPU environments. Knowledge of model compression techniques like distillation and quantization. Experience deploying models for high-throughput, low-latency production use. Research background or strong awareness of the latest developments in LLMs. Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Education: Bachelor's (Required) Experience: Teaching / Mentoring: 1 year (Required) AIML : 1 year (Required) Data science: 1 year (Preferred) Location: Varachha, Surat, Gujarat (Required) Work Location: In person

Benzatine Infotech is a Mobile/Web Development and Information Technology company. We have over 10+ years of programming experience and have developed a wide range of over 200+ iOS and Android mobile and web applications. Our team delivers professional, innovative solutions for our clients -- quickly and cost-effectively. Key Responsibilities: Design and develop scalable machine learning models and algorithms. Collaborate with cross-functional teams to integrate AI/ML models into production systems. Analyze large datasets to extract meaningful patterns and insights. Optimize models for performance, accuracy, and scalability. Research and implement the latest AI/ML techniques and tools. Build prototypes and proof-of-concepts to demonstrate model effectiveness. Monitor and improve deployed models based on real-time feedback and performance. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of supervised, unsupervised, and deep learning algorithms. Knowledge of NLP, computer vision, or reinforcement learning is a plus. Familiarity with tools like Jupyter, Git, Docker, and cloud platforms (AWS/GCP/Azure). Experience: 2+ years of experience Benefits: 5 Days working 12 Paid leaves + Holidays Leave Encashment Festival Celebrations On-Time Salary Career growth opportunities Best place to gain knowledge Friendly environment Co-operative senior developer Job Types: Full-time, Permanent Experience: AI: 2 years (Preferred) Machine learning: 2 years (Preferred) Work Location: In person

We're Hiring: AI Developer with OpenAI & Python Expertise Are you passionate about building intelligent systems and working with cutting-edge AI technologies like OpenAI’s GPT models? Join our fast-growing AI-focused team where we’re building the next generation of smart products across industries like gaming, betting, fintech, and more. What We're Looking For: We’re hiring AI Developers with experience in: Python frameworks : FastAPI, Flask, Django Machine Learning & Deep Learning : TensorFlow, PyTorch, scikit-learn LLMs & OpenAI : Hands-on experience with OpenAI GPT (3.5, 4, 4-turbo) APIs Experience building custom GPTs or AI assistants Understanding of function calling, tool use, prompt design, and system messages Prompt Engineering & Model Programming : Crafting efficient and task-specific prompts Fine-tuning and optimizing LLMs or integrating with vector databases like Pinecone or FAISS Good understanding of RAG pipelines , embeddings, and LLMOps practices Nice to Have: Experience in LangChain, LlamaIndex, or similar frameworks Familiarity with deploying models on cloud platforms (AWS, GCP, Azure) Prior work in building chatbots, agents, or AI-driven automation tools Who You'll Work With: A cross-functional, agile team of AI experts, engineers, and product managers Real-world projects with international clients A culture of learning, ownership, and innovation Location: Full-time / Contract-based roles available How to Apply: Send your CV, GitHub/portfolio links, and a brief note on your recent AI work to hr@softrefine.com. Let’s build the future of AI together. Job Types: Full-time, Permanent Pay: ₹12,790.55 - ₹60,351.20 per month Work Location: In person

Launch Your Career in AI/ML – We’re Hiring Freshers! Location: Ahmedabad (Work from Office) Company: MPIRIC Web Services Role: AI/ML Intern Type: Full-Time | Internship | In-office Are you a recent graduate eager to explore the world of Artificial Intelligence & Machine Learning? Join our AI/ML Internship Program and gain real-world experience working on live projects, guided by industry experts. If you’re passionate about AI and love coding in Python, this is the opportunity for you! What You’ll Work With: Programming Languages: Python (must-have) (Bonus) C++ for performance-heavy tasks ML Frameworks: PyTorch or TensorFlow/Keras (hands-on with one is enough) Scikit-learn for traditional ML models Data Handling & Visualization: NumPy, Pandas, Matplotlib, Seaborn Comfortable with cleaning, analyzing & visualizing data Computer Vision (optional but cool): OpenCV for image processing YOLOv5/v8, MediaPipe (nice to have!) Deployment (basic exposure): Flask / FastAPI for APIs Docker (bonus) ONNX / TensorRT (only if you’re curious) Cloud & Tools: Google Colab (Required) Jupyter Notebooks ( Must-know) AWS/GCP/Azure (not required, but great if you’ve tried!) What You Should Know (Even at Basic Level): Linear Algebra, Calculus, Probability Cost Functions, Backpropagation Basics ML Concepts: Supervised vs Unsupervised CNNs, RNNs, Transformers – basic awareness Model evaluation: Accuracy, Precision, Recall, F1 Score Projects to Show (If You Have): Image classification / object detection YOLO-based mini projects Flask-deployed ML model Kaggle competition participation Anything cool on GitHub! What We’re Looking For: ✔ Strong desire to learn & grow ✔ Clear understanding of Python basics ✔ Enthusiasm for AI & solving problems ✔ Ability to explain your thought process ✔ Based in Ahmedabad (In-office internship only) What You’ll Get: Hands-on project experience Internship Certificate + LOR Mentorship from experienced developers Pre-placement opportunity for top performers Supportive, learning-focused environment Job Types: Full-time, Fresher Schedule: Monday to Friday Work Location: In person

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop).