1912 Preprocessing Jobs

3–5 years of experience in software engineering and ML development. Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Experience building and evaluating models, along with data preprocessing and feature engineering. Proficiency in REST APIs, Docker, Git, and CI/CD tools. Solid foundation in software engineering principles, including data structures, algorithms, and design patterns. Hands-on experience with MLOps platforms (e.g., MLflow, TFX, Airflow, Kubeflow). Exposure to NLP, large language models (LLMs), or computer vision projects. Experience with cloud platforms (AWS, GCP, Azure) and managed ML services. Contributions to open-source ML libraries or participation in ML competitions (e.g., Kaggle, DrivenData) is a plus. Job Type: Full-time Benefits: Internet reimbursement Paid time off Provident Fund Application Question(s): What is your expected CTC? What is your notice period? Experience: Machine learning: 3 years (Preferred) Work Location: In person

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.

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.

Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Gurugram Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Knowledge of Machine Learning algorithms and their real-world applications. Understanding ofstatistics, data preprocessing, and EDA. Excellent communication and presentation skills. Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in teaching/training or industry experience in data science roles. Prior experience as a trainer or mentor is a plus. Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: Competitive salary up to ₹50,000/month . Flexible working hours Exposure to a large network of learners and tech professionals. Opportunity to work on live projects and build personal brand through content/webinars.

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

Experience Required - 1.5 years-3 years - Design and implement machine learning models and AI-driven solutions. - Develop and maintain Python-based AI/ML applications - Collaborate with cross-functional teams to integrate AI into live products. -Proficiency in Python. - Experience in data preprocessing, model training, evaluation & deployment. -Build & maintain REST APIs using FastAPI & Flask -Use Django for admin panels or full-stack features -Design, query & optimize MySQL databases -Integrate AI/ML models into backend services -Write clean, tested code (unit & integration tests) - Critical thinking and a strong problem-solving approach. Job Type: Full-time Pay: Up to ₹70,000.00 per month Experience: Python: 1 year (Required) Location: Mohali, Punjab (Preferred) 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

We are seeking a proactive, process-oriented Procurement Manager to lead and optimize the sourcing and purchasing of key inputs including raw materials (primarily silkworms), factory engineering supplies, consumables, and R&D-related requirements. This role is critical in ensuring timely, cost-effective, and compliant procurement across both commercial production and research verticals. As a strategic partner to operations, R&D, and quality functions, the Procurement Manager will play a pivotal role in driving cost efficiency, supply reliability, and product performance. This is a high-impact role where procurement decisions directly influence product quality, innovation timelines, and overall operational effectiveness. Responsibilities 1. Raw Material Procurement • Identify, onboard, and manage vendors who collect, dry, and supply silkworm pupae. • Build long-term, trust-based relationships with suppliers. • Ensure adherence to Loopworm's SOPs for preprocessing (cleaning, drying, hygiene standards, storage protocols). • Conduct regular vendor audits and quality checks in collaboration with the QA/QC team. • Understand and apply commercial tools such as rebates, discounts, credit periods, and volume-based incentives effectively. • Forecast raw material demand based on production/sales pipeline and ensure timely procurement. • Maintain traceability of batches to source and lot-level. 2. Procurement of Non-Raw Materials • Manage sourcing of: ◦ R&D consumables (lab chemicals, culture media, reagents) ◦ Maintenance tools and plant consumables (bearings, belts, gloves, cleaning materials) ◦ Packaging material (bags, cartons, labels) ◦ Utility supplies (diesel, power backup inputs, lubricants) • Identify reliable suppliers for each category and negotiate best prices, lead times, and payment terms. 3. Vendor Relationship Management • Build a strong ecosystem of suppliers with a focus on sustainability, quality, and cost-effectiveness. • Implement vendor rating systems based on delivery, quality, and compliance. • Ensure contracts/MoUs and KYC's are in place with key vendors, where applicable. • Troubleshoot supply chain disruptions and maintain alternate vendor options. 4. Process Compliance & Documentation • Ensure all procurement activities follow company SOPs and audit requirements. • Ensure timely issuance of POs, follow-up for confirmations, and proactive tracking of dispatch and delivery timelines. • Draft and maintain documentation for purchase orders, delivery challans, quality reports, and vendor payments. • Support finance with timely documentation for procurement-related accounting. 5. Cost and Inventory Control • Monitor and control raw material and non-raw material procurement costs in line with budgeted COGS. • Optimize working capital by aligning purchase schedules with consumption forecasts. • Coordinate with the inventory team to maintain healthy stock levels and reduce dead-stock. 6. Cross-functional Coordination • Work closely with: ◦ QA/QC team for sample testing and approvals ◦ Production for daily material requirements and planning ◦ Finance for invoice clearance and vendor payments ◦ R&D for sourcing lab and trial materials Qualifications • 5–8 years of experience in procurement, preferably in agri/food/feed industries. • Strong understanding of perishable supply chains, quality control in fresh produce/meat, and vendor management. • Prior experience with sourcing from decentralized rural setups is a plus. • Fluency in Hindi & Kannada languages and willingness to travel frequently to remote vendor locations. • Strong negotiation, communication, and documentation skills.

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

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: full-time conversion Eligibility: Recent graduates or final year students from Engineering Science with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus 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

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. 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. Responsibilities: Key Attributes: - Hands-on experience in DataSphere and strong understanding of usage of objects like Analytical model, views, Data Flow, Replication Flow, Task Chain and performance optimization concepts such as data tiering optimization. - Experience in integration of DataSphere with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques. - full life cycle Implementation experience in SAP DataSphere - Hands on Experience in data extraction using standard or Custom extraction. - Strong experience in writing Sql. - Functional Knowledge of various Modules like SD, MM, FI. - Connectivity of SAP DataSphere with reporting tool like SAC, PBI Mandatory skill sets: SAP Datasphere Preferred skill sets: SAP Datasphere Years of experience required: 2-8 Years Education qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Datasphere Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Hi, We have a 6-month (possibilities of further extension) Contract requirement for AI Developer OFFSHORE REMOTE Europe time zone -Central European Time (CET). Working hours will be 5 am/ 5:30am/6 am to 2 pm/2:30 pm / 3 pm IST Position: AI Developer Duration: 6-month (possibilities of further extension) Annual Salary: DOE Work Location: REMOTE Required Experience: 5 yrs Primary Skills Knowledge of Python AWS Lambda AWS Bedrock Detailed JD as follows: 1. Prompt Engineering Techniques – Advanced Design effective prompts for large language models to optimize accuracy, reduce hallucinations, and guide reasoning using few-shot, zero-shot, and chain-of-thought approaches. Work with foundation models via APIs (e.g., OpenAI, AWS Bedrock) to build real-world applications across domains. 2. Generative Modeling Techniques – Intermediate Implement and experiment with generative models like GPT, BERT, or other Transformer-based architectures. Apply pre-trained models in NLP, content generation, or summarization tasks using platforms like Hugging Face or AWS Bedrock. 3. Agentic AI and Reinforcement Learning – Intermediate Understand and integrate basic agentic frameworks that combine reasoning, memory, and planning. Work with simulation environments (e.g., OpenAI Gym) and apply standard reinforcement learning algorithms for prototype development. 4. Building Responsible and Ethical AI – Intermediate Implement fairness-aware model evaluation and explainability practices using tools like SHAP or LIME. Follow best practices for privacy, bias mitigation, and governance in AI systems. 5. Cloud Deployment and MLOps – Intermediate Deploy AI models using AWS Lambda , AWS Bedrock , and SageMaker for serving and scalability. Participate in building MLOps pipelines and model versioning using MLflow or similar tools. 6. Machine Learning Frameworks (PyTorch/TensorFlow) – Beginner Train and fine-tune small-scale models using PyTorch or TensorFlow under guidance or for prototyping. Leverage existing models via transfer learning for quick deployment. 7. Data Preprocessing and Feature Engineering – Beginner Clean and transform raw data for modeling tasks. Perform exploratory data analysis (EDA) and develop basic feature extraction pipelines. 8. Containerization and CI/CD – Beginner Learn and assist in containerizing ML applications using Docker. Support implementation of CI/CD pipelines and Git-based workflow integrations.

Data Science Trainer Job Title: Data Science Trainer Organization: SkillCircle Location: Chandigarh Employment Type: Full-time / Part Time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Knowledge of Machine Learning algorithms and their real-world applications. Understanding ofstatistics, data preprocessing, and EDA. Excellent communication and presentation skills. Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. 2–5 years of experience in teaching/training or industry experience in data science roles. Prior experience as a trainer or mentor is a plus. Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: Competitive salary up to ₹50,000/month . Flexible working hours Exposure to a large network of learners and tech professionals. Opportunity to work on live projects and build personal brand through content/webinars.

Company Description Appinventiv is an industry leader in developing AI-powered digital products and solutions that enhance growth, efficiency, and user experiences. We collaborate with disruptive startups, Fortune 500 companies, and global enterprises to transform their innovative ideas into reality through cutting-edge technologies like AI, Blockchain, Cloud, and Data Analytics. With a team of over 1600 innovators from 6 global centers, we have delivered 3000+ digital products that have positively impacted various industries. Recognized for our rapid growth and excellence, Appinventiv remains at the forefront of digital transformation and technology innovation. Role Description This is a full-time on-site role for an AI Research Intern located in Noida. The AI Research Intern will be responsible for contributing to cutting-edge AI research projects, conducting experiments, and developing algorithms. Daily tasks include data collection and preprocessing, implementing machine learning models, and collaborating with team members to enhance AI-driven solutions. The role also involves preparing research reports and staying up-to-date with the latest AI advancements. Qualifications • Conduct primary and secondary research on industry trends and technologies. • Collect, clean, and analyze data for reports and presentations . • Prepare concise research summaries and documentation. • Collaborate with cross-functional teams to support ongoing projects. • Present key findings and actionable insights. • Use tools like Excel, Google Sheets, or research platforms. • Support automation or process improvement (if applicable). .• Keep up-to-date with the latest technology trends, news, and developments.

At FPC Global, we’re not just shaping the future—we’re building it. Our mission, "Building Tomorrow’s Digital Planet," reflects our unwavering commitment to transforming industries, creating smarter spaces, and driving sustainable progress. Since our founding in 2014, we have grown into a global leader with over 140 exceptional professionals, operating across the Americas, EMEA, APAC, and with our headquarters in London. We specialize in delivering integrated, cutting-edge consultancy services that span the entire facility lifecycle, ensuring that every project we undertake sets a new standard for innovation and excellence. Our business thrives on three dynamic pillars: FPC Global: Offering expert guidance in Technical Program & Project Management, Building Performance, Sustainability, and Cybersecurity, we ensure that every project succeeds and fulfills stakeholder aspirations. FPC Digital: Revolutionizing Digital Building Design and Operations, we create spaces that are not only efficient but also frictionless and forward-thinking. FPC Life Sciences: Empowering life sciences and pharmaceutical clients to deliver game-changing capital projects with precision and expertise. Job Description The Digital Buildings System Engineer contributes to integrating various BMS, IoT devices, and facility management systems into a cloud platform, working across different vendors and ecosystems. This platform-agnostic role enables secure, seamless data flow for analytics, remote monitoring, and operational efficiency. The engineer collaborates with global teams across IT, security, and infrastructure, engaging with multiple cloud environments (AWS, Azure, Google Cloud) and diverse technologies. The role requires strong technical adaptability, quick decision-making, and effective communication to support smart, data-driven building operations. Key Responsibilities. The responsibilities for this role include: To ensure smooth integration, optimization, and security of applications on cloud platforms. Troubleshoot issues, manage performance, and align cloud solutions with business objectives. Delivery of technical and some non technical (as training and knowledge allows) related engineering Services and projects for clients in accordance with the Proposal, Scope of Work (SoW) and/or Engagement Letter. Manage own workload, communicating and escalating any issues to line manager accordingly Building System Integration: Assess and analyze existing building systems, including BMS, HVAC, lighting, energy, and IoT devices. Map and document building systems architecture to ensure compatibility with cloud migration strategies. Cloud Onboarding & Configuration: Configure cloud infrastructure to receive and process data from various building systems. Develop and implement data flow protocols from on-premises building systems to cloud platforms, ensuring data quality and integrity. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to set up required services, storage, and data processing pipelines. Data Management & Security: Ensure compliance with cybersecurity and data privacy policies in data transfer and cloud storage. Implement encryption, authentication, and access control measures to protect building and operational data. Data Analytics and Reporting Analyze system data to generate insights on performance, sustainability, and operations. Prepare detailed reports on building operations for stakeholders. Preferred knowledge of Apps Scripts Collaboration & Stakeholder Engagement: Liaise with IT, facility management, and operations teams to understand building system requirements and constraints. Provide technical support and training to on-site staff on cloud-based building management tools. Testing & Troubleshooting: Conduct pre- and post-onboarding testing to validate data integrity and system performance. Identify, troubleshoot, and resolve issues related to data transmission, system compatibility, and network connectivity. Documentation & Reporting: Maintain comprehensive documentation of onboarding processes, system configurations, and cloud settings. Generate regular reports on onboarding status, system performance, and key metrics FPC Responsibilities: Represent FPC in a professional manner internally and externally, and achieve a high level of customer satisfaction for all work performed Be an effective Digital Building Services team member, communicating with colleagues and working collectively to contribute to the development of Digital Buildings Services Group and the FPC business as a whole Report to line manager, acting in accordance with their requests and direction and those of FPC management Manage own workload, communicating and escalating any issues to line manager accordingly Act in accordance with all FPC employment policies and procedures, including FPC Employee Handbook, Health & Safety and Time and Expenses Reporting Carry out any other duties reasonably requested by FPC Management Qualifications Education. Bachelor's degree Controls engineering or a related field. Certifications: Experience with BMS systems like Niagara, Delmatic, Delta, LoraWan. Certifications in any of these are beneficial . Cloud platforms (AWS, Azure, or Google Cloud) and relevant cloud services (data storage, IoT hubs, etc.). Certification in any of the cloud platforms is beneficial. Experience. Industry Expertise: 7+ years of experience in design and configuration of building automation systems, cloud integration, or IT infrastructure roles.Systems Integration related projects or related industries such as Architecture, Design or Construction. Strong understanding of cybersecurity best practices for cloud integrations.Knowledge of edge computing and data preprocessing methods for IoT systems. Technical Skills: Basic technical understanding in delivering digital / smart building and IoT technology projects, including some or all of the following: Digital Building Systems Integration design, development and implementation Digital Building Controls Systems Cybersecurity best practices IP Networking (IPV4, IPV6, Switching, Routing, DHCP, WiFi, Structured Cabling, etc.) System Audits & Site Surveys Soft Skills: Analytical Skills: Ability to interpret building performance data, identify trends, and develop actionable insights for continuous improvement. Client-Focused: Excellent client relationship management skills with the ability to communicate technical information effectively. Process Improvement: Proven experience in understanding and contributing to SOPs, MOPs, and RACIs, with a focus on process optimization and standardization. Problem Solving: Strong troubleshooting skills with a proactive approach to resolving technical issues remotely. Additional Information FPC Employee Benefits: At FPC, we offer a competitive salary and a comprehensive benefits package designed to reward your contributions and support your well-being. At FPC, we’re not just a company—we’re a thriving community where innovation flourishes, ideas are celebrated, and careers are shaped. When you join us, you become part of a dynamic team that: Shapes the Future: Work on groundbreaking projects that are redefining industries with sustainability, cutting-edge technology, and bold ambition. Supports Your Growth: From leadership training to cross-functional collaboration, we prioritize your professional development and empower you to explore new ideas, take initiative, and grow in your career. Values Balance and Inclusion: We celebrate diversity, foster collaboration, and ensure every voice is heard—while maintaining a strong commitment to work-life balance. Creates Impact: Contribute to the delivery of iconic, high-performance buildings and innovative solutions that have a lasting, positive impact on the world. Together, we’ll build tomorrow’s digital planet—and you’ll be part of something truly extraordinary.

Company Description : ExcelR is a premier training provider specializing in delivering top-tier professional courses in domains such as Data Analytics, Data Science,Full stack, Agile Methodologies, Project Management, IT Service Management, and Quality Assurance. are committed to empowering professionals to achieve accelerated career growth. Our course portfolio includes globally recognized certifications such as PMP, PMI-ACP, Six Sigma, and ITIL. Job Opportunity: Senior Training Instructor (Full-Time, On-Site) Location: Bangalore & Hyderabad We are currently hiring Senior Training Instructors for the following specialized tracks: Data Analyst/Business Analyst Data Science Digital Marketing As a Senior Training Instructor, you will be responsible for delivering high-quality, interactive training sessions and providing guidance and mentorship to learners, ensuring their successful career development. Skill Sets Required 🔹 Data Analyst Proficiency in Excel, SQL, Power BI/Tableau Data cleaning, data visualization, and dashboarding Understanding of statistics and reporting techniques Knowledge of Python or R (preferred) Strong knowledge of SDLC, Agile, and Waterfall methodologies Proficiency in tools like MS Visio, Jira, and Balsamiq Requirement gathering, stakeholder management, and process modeling Excellent analytical and documentation skills 🔹 Data Science Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets 🔹 Digital Marketing In-depth knowledge of SEO, SEM, and Social Media Marketing Experience with tools like Google Ads, Google Analytics, and Search Console, Familiarity with email marketing, content strategy, and performance marketing, Hands-on expertise in campaign planning, execution, and ROI tracking, Proficiency in tools such as Meta Ads Manager, Mailchimp, and HubSpot, Strong understanding of digital marketing trends, automation, and lead generation strategies Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design What We Offer Attractive Compensation: Competitive and in line with market standards Platform to Inspire: An opportunity to share your industry knowledge and shape the next generation of professionals Interested? Share your resume with yourus at mail to: balaji.k@excelr.com or:sayyad.siddiq@excelr.com. We look forward to collaborating with you!

Company Description Webbrains Technologies Private Ltd. is an Australian-based IT firm with developmental locations in India. Offering a wide range of IT services such as Web Designing, Mobile Application Development, Custom Software Solutions, and more, we cater to clients across over 42 countries. Our expertise spans numerous technologies including React JS, Node JS, Python, PHP, iOS, Android, and many others. We provide comprehensive IT solutions to diverse industries such as Healthcare, Finance, Media, and Hospitality, and also offer dedicated remote IT resources on a contract basis. Job Overview: We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will have strong expertise in building and deploying machine learning models, data analysis, and algorithm development. Experience in the healthcare domain is a significant advantage. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models . Analyze complex data sets to drive actionable insights and solutions. Work on end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, and deployment. Collaborate with data engineers, software developers, and domain experts to integrate ML solutions into products. Conduct research and stay updated with the latest developments in AI/ML technologies. Optimize model performance and troubleshoot any issues during development or deployment. Document experiments, code, and reports clearly and efficiently. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–4 years of hands-on experience in AI/ML development. Proficient in Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch . Experience with data preprocessing , feature selection , model validation , and hyperparameter tuning . Strong understanding of statistical modeling , classification , regression , clustering , and NLP techniques. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, Matplotlib , etc. Experience working with cloud platforms (AWS/GCP/Azure) is a plus. Prior experience in healthcare domain or medical data analytics will be an added advantage. Excellent problem-solving, analytical, and communication skills.

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: full-time conversion Eligibility: Recent graduates or final year students from Engineering Science with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

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. 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. 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. 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. 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. 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.

Humanli.AI is a Startup founded by Alumnus of IIM' Bangalore/ISB Hyderabad & IIM' Calcutta. We are democratizing and extending technology that were accessible & consumed only by MNC’s or Fortune companies to SME and Mid-size firms. We are pioneers in bringing Knowledge Management algorithms & Large Language Models into Conversational BOT framework. Job Title: AI/ML Engineer Location: Jaipur Job Type: Full-time Experience: 0-3 years Job Description: We are looking for an experienced AI/ML & Data Engineer to join our team and contribute to the development and deployment of our AI-based solutions. As an AI/ML & Data Engineer, you will be responsible for designing and implementing data models, algorithms, and pipelines for training and deploying machine learning models. Responsibilities: Design, develop, and fine-tune Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (FAISS, Pinecone, ChromaDB, Weaviate). Develop and integrate AI Agents for task automation, reasoning, and decision-making. Work on fine-tuning open-source LLMs (e.g., LLaMA, Mistral, Falcon) for specific applications. Optimize and deploy transformer-based architectures for NLP and vision-based tasks. Train models using TensorFlow, PyTorch, Hugging Face Transformers. Work on prompt engineering, instruction tuning, and reinforcement learning (RLHF). Collaborate with data scientists and engineers to integrate models into production systems. Stay updated with the latest advancements in Generative AI, ML, and DL. Optimize models for performance improvements, including quantization, pruning, and low-latency inference techniques. Qualification: B.Tech in Computer Science. Fresher's may apply 0-3 years of experience in data engineering and machine learning. Immediate joiners: Preferred Requirement Experience with data preprocessing, feature engineering, and model evaluation. Understanding of transformers, attention mechanisms, and large-scale training. Hands-on experience with, RAG, LangChain/LangGraph, LlamaIndex, and other agent frameworks. Understanding of prompt tuning, LoRA/QLora, and efficient parameter fine-tuning (PEFT) techniques. Strong knowledge of data modeling, data preprocessing, and feature engineering techniques. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Excellent problem-solving skills and ability to work independently and collaboratively in a team environment. Strong communication skills and ability to explain technical concepts to non-technical stakeholders.

About the Company 6thStreet.com is an omnichannel fashion & lifestyle destination that offers 1400+ fashion & beauty brands in the UAE, KSA, Kuwait, Oman, Bahrain & Qatar. Customers can shop the latest on-trend outfits, shoes, bags, beauty essentials and accessories from international brands such as Tommy Hilfiger, Calvin Klein, Hugo, Marks & Spencers, Dune London, Charles & Keith, Aldo, Crocs, Birkenstock, Skechers, Levi’s, Nike, Adidas, Loreal and Inglot amongst many more. 6thStreet.com recently opened GCC’s first phygital store at Dubai Hills Mall; an innovative tech-led space which combines the best of both online & offline shopping with online browsing & smart fitting rooms. Overview The ML Engineer will extract insights and build models that will drive key business decisions. The candidate will work closely with other data scientists, software engineers and product managers to design, build, optimize and deploy machine learning systems and solutions. This role is ideal for someone with a strong analytical mindset, a passion for data, and a desire to grow in a fast-paced e-commerce environment. Necessary Skills Python: Proficiency in python, with knowledge of popular libraries like pandas, numpy, scipy, scikit-learn, tensorflow, pytorch SQL: Strong ability to write and optimize complex SQL queries to extract and manipulate large datasets from relational databases Data Analysis & Visualization: Ability to work with large datasets and extract meaningful insights and able to leverage data visualization tools and libraries Data Wrangling & Preprocessing: Expertise in cleaning and transforming raw data into structured formats Statistical Analysis: A solid understanding of descriptive and inferential statistics, including hypothesis testing and probability theory Machine Learning & Deep Learning: Familiarity with supervised and unsupervised learning algorithms such as regression, tree based methods, clustering, boosting and bagging methodologies Machine learning workflows: feature engineering, model training, model optimization , validation and evaluation ML Deployment: Deploying machine learning models to production environments, ensuring they meet the scalability, reliability, and performance requirements DevOps: Git, CI/CD pipelines, dockerization, model versioning (mlflow), monitoring platforms Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud or Azure for deploying models Problem-Solving & Analytical Thinking: Ability to approach complex problems methodically and implement robust solutions Collaboration & Communication: Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders. Adaptability & Learning: Willingness to quickly learn new tools, technologies, and algorithms Attention to Detail: Ability to carefully test and validate models, ensuring they work as intended in production Good to have: Familiarity with big data technologies such as Spark or Hadoop Object-oriented programming (OOP) Knowledge of data privacy and security practices when working with sensitive data Experience working with big data tools (e.g., Apache Kafka, Apache Flink) for streaming data processing Familiarity with feature stores like Feast Experience working with e-commerce data Responsibilities Design and implement machine learning models, algorithms, and systems Build and maintain end-to-end machine learning pipelines- model training, validation, and deployment Experiment with different algorithms and approaches to optimize model performance Collaborate with software engineers, product managers, analysts to build scalable, production-ready solutions Communicate complex technical concepts to non-technical stakeholders Stay updated with the latest advancements in machine learning and deep learning. Evaluate and experiment with new tools, libraries, and algorithms that could improve model performance Collaborate on proof-of-concept (POC) projects to validate new approaches and techniques Benefits Full-time role Competitive salary Company employee discounts across all brands Medical & health insurance Collaborative work environment Good vibes work culture Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in quantitative analytics or data modeling and development Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL)

Experience Required - 1.5 years-3 years - Design and implement machine learning models and AI-driven solutions. - Develop and maintain Python-based AI/ML applications - Collaborate with cross-functional teams to integrate AI into live products. -Proficiency in Python. - Experience in data preprocessing, model training, evaluation & deployment. -Build & maintain REST APIs using FastAPI & Flask -Use Django for admin panels or full-stack features -Design, query & optimize MySQL databases -Integrate AI/ML models into backend services -Write clean, tested code (unit & integration tests) - Critical thinking and a strong problem-solving approach. Job Type: Full-time Pay: Up to ₹70,000.00 per month Experience: Python: 1 year (Required) Location: Mohali, Punjab (Preferred) Work Location: In person

Job Title: Web GIS Developer Experience: 3-5 Years Location: Gurgaon Job Type: Full-time Job Summary: We are looking for a passionate and skilled Web GIS Developer with 3-5 years of experience to join our geospatial team. The ideal candidate will have a strong foundation in web-based GIS development , with practical experience in GeoServer , PostgreSQL/PostGIS , raster data analysis , and automated preprocessing pipelines . Proficiency with open-source geospatial tools like QGIS , Google Earth Engine (GEE) , and handling satellite data (e.g., Sentinel-1/2 , LiDAR ) is highly desirable. Key Responsibilities: Design, build, and deploy web-based GIS applications and tools. Configure and manage GeoServer and MapServer for serving vector and raster geospatial data. Develop custom mapping solutions using JavaScript mapping libraries such as OpenLayers , Leaflet , Mapbox , or similar. Manage and query spatial databases using PostgreSQL/PostGIS . Build automated pipelines for raster preprocessing (e.g., clipping, mosaicking, re-projection, normalization). Perform raster analysis , including NDVI, land use classification, and time-series processing. Process and manage remote sensing datasets including Sentinel-1 , Sentinel-2 , and LiDAR data. Utilize geospatial libraries such as GDAL , Rasterio Shapely for data manipulation. Work with and develop RESTful APIs for geospatial data access and manipulation. Develop scripts in Python , JavaScript , or Shell for automating GIS workflows and tasks. Work extensively with open-source GIS platforms such as QGIS and Google Earth Engine (GEE) . Integrate and visualize spatial data in real-time or near-real-time web applications. Collaborate with data analysts, scientists, and UI/UX teams to translate spatial data into usable tools. Required Skills and Qualifications: 3-5 years of experience in GIS/Web GIS development. Strong experience with GeoServer , PostgreSQL/PostGIS , and web mapping frameworks . Proficiency in raster data analysis and working with large geospatial datasets. Practical knowledge of Sentinel-1 , Sentinel-2 , LiDAR , and other Earth observation data. Experience building automated preprocessing pipelines for satellite or aerial imagery. Skilled in Python scripting using libraries such as GDAL , Rasterio , PyProj , and Pandas . Familiarity with JavaScript and frontend development for mapping applications. Understanding of MapServer/Geoserver configuration and usage. Comfortable working with QGIS , GEE , and other open-source GIS platforms. Experience with API integration and development of RESTful services . Knowledge of spatial data standards, formats, and projections (GeoTIFF, GeoJSON, Shapefile, etc.). Preferred Qualifications: Experience with Routing/Navigation systems and spatial network analysis. Familiarity with cloud platforms (e.g., AWS, GCP) and geospatial services. Understanding of CI/CD pipelines for GIS-based applications. What We Offer: Competitive salary based on skills and experience Exposure to cutting-edge technologies and open-source GIS ecosystems Opportunities for training and career development Flexible working hours and remote work options Collaborative and supportive work culture To Apply: Send your resume, cover letter, and examples of your GIS projects or portfolio to hr@aaizeltech.com or Bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 8493801093)

Job Title: Senior Data Scientist – AI/ML Location: Chennai (Onsite – Fulltime) Experience: 8+ Years (Minimum 4+ Years in AI/ML) Availability: Immediate Joiners Only Job Description: We are seeking a highly skilled and experienced Senior Data Scientist to join our team in Chennai for a full-time onsite role. The ideal candidate will have a strong background in data science with 8+ years of overall experience , including 4+ years of hands-on expertise in AI/ML , and a proven ability to deliver end-to-end data-driven solutions in real-world business settings. Key Responsibilities: Design, develop, and deploy advanced machine learning and AI models for real-world use cases Lead the development of data pipelines, feature engineering, and model performance tuning Translate complex business problems into analytical solutions using statistical, machine learning, and deep learning techniques Collaborate with cross-functional teams including data engineers, software developers, and domain experts Analyze large structured and unstructured datasets to extract actionable insights Present findings and recommendations to stakeholders in a clear and compelling manner Stay up to date with the latest advancements in AI, ML, and data science tools/technologies Key Requirements: Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related field 8+ years of experience in Data Science, with 4+ years specifically in AI/ML model development and deployment Strong expertise in Python and popular data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) Experience in end-to-end model lifecycle: data collection, preprocessing, modeling, deployment, and monitoring Proven experience with real-world AI/ML applications such as NLP, computer vision, recommendation systems, or predictive analytics Good understanding of MLOps, model versioning, and reproducibility practices Strong problem-solving skills, attention to detail, and the ability to work independently Excellent communication and stakeholder management skills Nice to Have: Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with big data tools (Spark, Hadoop) Knowledge of data visualization tools (Tableau, Power BI, Plotly) Note: Only immediate joiners (or with less than 15 days' notice) will be considered for this position.