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General information Country India State Telangana City Hyderabad Job ID 44314 Department Development Description & Requirements Summary: As an AI/ML Developer, you’ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor’s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Job Description We are looking for a Data Scientist who is passionate about working in the healthcare AI domain. This role will involve collaborating with cross-functional teams, including senior data scientists, application developers, and radiology experts, to develop and refine AI solutions for medical imaging. You will gain hands-on experience working on advanced projects and research opportunities in Computer Vision and Deep Learning. Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience : 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location : Baner, Pune, India (ref:hirist.tech)

Job Title: AI/ML engineer Location: Gurgaon Hybrid Experience: 4–9 Years Job Type: [Full-time ] Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with strong AWS Cloud experience to join our data science and engineering team. The ideal candidate will design, build, and deploy scalable machine learning models and solutions while leveraging AWS services to manage infrastructure and model workflows. Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, classification, NLP, or computer vision tasks. Use AWS services like SageMaker, S3, Lambda, Glue, EC2, EKS, and Step Functions for ML workflows and deployments. Preprocess and analyze large datasets for training and inference. Build scalable data pipelines and automate model training and evaluation. Collaborate with data engineers, scientists, and DevOps teams to productionize models. Optimize models for performance, interpretability, and scalability. Implement MLOps best practices (versioning, monitoring, model retraining pipelines). Conduct A/B testing and model performance tuning. Key Skills and Qualifications: Technical Skills: Strong proficiency in Python (including pandas, NumPy, Scikit-learn, etc.) Solid understanding of ML algorithms (regression, classification, clustering, deep learning) Experience with TensorFlow, PyTorch, or Keras Hands-on experience with AWS cloud services : SageMaker , S3 , Glue , Lambda , Step Functions , CloudWatch , IAM , etc. Experience with MLOps tools : MLflow, Docker, Git, CI/CD pipelines Knowledge of data pipeline frameworks (Airflow, AWS Glue, etc.) Familiarity with SQL and data wrangling in distributed environments (e.g., Spark) Nice to Have: Experience with NLP, LLMs, or Computer Vision Exposure to Big Data technologies (Kafka, Hadoop, etc.) Familiarity with API development using Flask or FastAPI Knowledge of Kubernetes for model container orchestration Educational Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 10th July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 10th July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Technology Gurgaon, India Publicis Re:Sources India Intermediate On-Site 7/7/2025 115065 Company description Re:Sources is the backbone of Publicis Groupe, the world's third-largest communications group. Formed in 1998 as a small team to service a few Publicis Groupe firms, Re:Sources has grown to 5,000+ people servicing a global network of prestigious advertising, public relations, media, healthcare and digital marketing agencies. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management to help Publicis Groupe agencies do what they do best: create and innovate for their clients. In addition to providing essential, everyday services to our agencies, Re:Sources develops and implements platforms, applications and tools to enhance productivity, encourage collaboration and enable professional and personal development. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. With our support, Publicis Groupe agencies continue to create and deliver award-winning campaigns for their clients. Overview Title GEN AI and Machine Learning Engineer Skills (must have) Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in cloud infrastructure such as AWS, Azure or GCP Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model) Skills (good to have) Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus Responsibilities Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Job Summary: We are looking for a passionate and skilled AI/ML Developer with a minimum of 2 years of experience to join our team. The ideal candidate will be responsible for developing machine learning models, implementing AI solutions, and collaborating with cross-functional teams to integrate these systems into production environments. Key Responsibilities: Design, develop, and deploy machine learning models and AI systems. Collect, preprocess, and analyze large datasets from diverse sources. Optimize and fine-tune models for performance and scalability. Work with engineering teams to integrate ML models into production-ready applications. Monitor and maintain deployed models, and retrain as needed. Stay current with the latest research and trends in AI and machine learning. Document processes, experiments, and outcomes for transparency and reproducibility. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Minimum 2 years of hands-on experience in AI/ML development. Proficient in Python and libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms, neural networks, and data structures. Experience with data processing tools (Pandas, NumPy), and model deployment frameworks (e.g., Flask, FastAPI, Docker). Familiarity with cloud platforms like AWS, GCP, or Azure. Knowledge of software development best practices (version control, testing, CI/CD). Preferred Qualifications: Experience with NLP, computer vision, or reinforcement learning. Knowledge of MLOps and model monitoring tools (MLflow, Kubeflow). Contribution to open-source projects or published ML research. Exposure to large-scale distributed systems or big data tools (Spark, Hadoop). Soft Skills: Strong problem-solving skills and analytical thinking. Excellent communication and team collaboration abilities. Self-motivated and eager to learn and implement new technologies. What We Offer: Competitive salary and performance-based bonuses. Flexible working hours and remote work options. Opportunity to work on cutting-edge AI/ML projects. Career development support and training opportunities. Collaborative, inclusive, and innovation-driven work culture. Job Types: Full-time, Permanent Pay: ₹13,671.07 - ₹85,229.87 per month Benefits: Paid sick time Paid time off Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Work Location: In person Speak with the employer +91 9016790313

Job Title: Machine Learning Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship About Optimspace.in Optimspace.in provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities Design, test, and optimize machine learning models. Analyze and preprocess datasets. Develop algorithms and predictive models. Use tools like TensorFlow, PyTorch, and Scikit-learn. Document findings and create reports. Requirements Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field). Knowledge of machine learning concepts and algorithms. Proficiency in Python or R (preferred). Strong analytical and teamwork skills. Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid). Hands-on machine learning experience. Internship Certificate & Letter of Recommendation. Real-world project contributions for your portfolio. How to Apply 📩 Submit your application with "Data Analyst Intern Application" as the subject. 📅 Deadline: 9th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning

Passionbits — a synthetic video ad engine that allows fashion and lifestyle brands to choose creators, scripts, wardrobes, and more to get custom videos made for their socials and ads. Community of 3000+ creators & studios, powering on-demand video content for enterprise marketers. Helping creators monetise their on/behind camera skills, instead of their audience - to help add passive earnings Pre-seed funded. Early revenue traction. Founding roles. Role Description We are seeking a passionate and talented Deep Learning Engineer to join our dynamic team. This role offers a unique opportunity to work on cutting-edge AI models that drive our video ad creation and optimization platform. Responsibilities Model Development: Assist in designing, developing, and improving deep learning models for video generation and dynamic visual content creation. Research & Innovation: Conduct research on the latest advancements in deep learning and apply relevant techniques to enhance our platform. Data Processing: Analyze and preprocess large datasets to train and validate models, ensuring high-quality outputs. Integration: Collaborate with the engineering team to integrate AI models seamlessly into our existing systems. Optimization: Optimize model performance and scalability to ensure efficient deployment and real-time processing. Collaboration: Participate in brainstorming sessions to develop new features and enhancements for the platform. Documentation: Document your work and present findings to the team, ensuring clear communication of technical concepts. Technical Skills Strong understanding of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python. Familiarity with computer vision techniques and video processing. Soft Skills Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a collaborative team. Strong communication skills, both written and verbal. Preferred Experience With generative models (e.g., GANs, VAEs). Knowledge of video editing and processing tools. Previous internship or project experience in deep learning or AI development. Skills: deep learning,optimization,pytorch,gans,models,research,python,computer vision,video processing,processing,tensorflow

Job Description Job Summary - The candidate will have a strong background in machine learning algorithms, deep learning frameworks, and practical experience building and deploying AI solutions. You will work closely with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. In this Role, Your Responsibilities Will Be: Design, develop, and deploy machine learning and deep learning models for various business applications. Lead and contribute to projects involving Generative AI, including large language models, image generation, and related technologies. Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions. Analyze and preprocess large datasets to extract meaningful insights and features. Develop and implement predictive models and algorithms to solve business problems and improve processes. Evaluate and optimize model performance using appropriate metrics and techniques. Stay up to date with the latest advancements in AI/ML and Generative AI research and technologies. Document processes, models, and experiments for knowledge sharing and reproducibility. Drive continuous improvement through innovation, process optimization, and knowledge sharing. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Take ownership of deliverables and work independently when required. Who You Are: You are a self-directed and proactive professional who takes the initiative without waiting for detailed instructions, quickly adapts to new technologies and changing requirements, and strategically applies your knowledge to solve complex business problems. You continuously stay current with emerging AI trends, and drive innovation while maintaining a focus on code quality and best practices. For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a Master's degree or higher is preferred. 3-4 years of experience in AI/ML project development with minimum 2 years hands-on experience with Generative AI (e.g., GPT, Embeddings, Vector databases, Diffusion models) Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., pandas, NumPy, scikit-learn). Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Hands-on experience with LangChain, LlamaIndex, Hugging Face ecosystem, and prompt engineering techniques. Experience building Retrieval-Augmented Generation systems and semantic search applications. Experience developing and deploying ML models via REST APIs using FastAPI, Flask, or similar frameworks. Proficiency in TensorFlow, PyTorch, and familiarity with model fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Experience with SQL and NoSQL databases (MongoDB, PostgreSQL) and Vector databases. Familiarity with CI/CD pipelines, Git, and Azure DevOps or similar tools. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Effective verbal and written communication skills as well as good presentation skills. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please.

Job Title: AI Vision Systems Engineer – Entry Level (SkySight Platform) Location: Thoppur, Salem Department: AI & Perception Systems Experience: 0–1 year Employment Type: Full-time 🛰 About SkySight SkySight is a cutting-edge drone data management and computer vision platform developed by Raptor Aero Systems. It processes visual and geospatial data from UAV missions to deliver real-time insights, advanced object detection, and intuitive visualizations for various industries including agriculture, infrastructure, and defence. 🎯 Role Overview As a Vision System Engineer at SkySight, you will assist in developing and deploying computer vision modules, contributing to image and video processing pipelines, model integration, and visualization tools. This is a hands-on role focused on real-world perception challenges using aerial imagery. 🛠 Key Responsibilities • Assist in integrating computer vision models (e.g., object detection, segmentation) into the SkySight pipeline. • Preprocess and annotate image/video datasets for model training and evaluation. • Support development of image analysis features like heatmaps, annotated overlays, and anomaly detection. • Contribute to testing and optimizing inference pipelines for GPU/CPU. • Collaborate with AI/ML and backend teams to ensure seamless integration with cloud and dashboard services. • Participate in regular code reviews, design discussions, and innovation brainstorming. 🧠 Required Skills • Bachelor of Engineering in Computer Science, Electronics, Electrical, Mechatronics, or related field. • Basic understanding of image processing, OpenCV, and/or deep learning frameworks like PyTorch or TensorFlow. • Familiarity with Python programming (or C++ is a plus). • Exposure to working with image/video datasets. • Curiosity and willingness to learn about drone imagery, GIS, and embedded vision. 🌟 Preferred (Good to Have) • Hands-on project or internship involving computer vision or AI. • Experience working with YOLO, Mask R-CNN, or similar models. • Exposure to tools like LabelImg, Roboflow, or CVAT. • Understanding of REST APIs or basic Docker usage. 💡 What You’ll Gain • Mentorship from a strong AI and drone systems team. • Experience with real-world drone imagery pipelines. • Opportunity to grow into a full-stack vision engineer or data scientist. • Exposure to cutting-edge technologies across edge AI, geospatial analysis, and UAV autonomy. 🦅 About Raptor Aero Systems We’re a deep-tech drone company building India’s most advanced UAV platforms and autonomy stacks. SkySight is part of our vision to deliver end-to-end, production-ready solutions in aerial intelligence. Join us to shape the future of drones and visual AI.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 9th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About the Role: We are looking for a detail-oriented and motivated Data Analytics Intern to join our team. As an intern, you will gain hands-on experience in data collection, cleaning, analysis, and visualization. You will work closely with our analytics and business teams to derive actionable insights that support decision-making and business strategy. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) to identify trends and patterns Create visualizations and dashboards using tools like Excel, Power BI, or Tableau Assist in generating reports and presentations for stakeholders Support data-driven decision-making processes across departments Collaborate with the data team on predictive models and automation tasks Document findings and present insights clearly to both technical and non-technical audiences ✅ Key Skills Required: Technical Skills: Proficiency in Microsoft Excel (formulas, pivot tables, charts) Basic knowledge of SQL for querying databases Understanding of Python or R (especially libraries like pandas, NumPy, matplotlib, seaborn) Experience with data visualization tools (Power BI / Tableau / Google Data Studio) Knowledge of statistics and basic data modeling Soft Skills: Strong analytical and problem-solving abilities Attention to detail and accuracy Excellent verbal and written communication Ability to work independently and in a team Curiosity and a willingness to learn new tools and techniques Terms & Conditions : It was a Paid job where you need to pay your first 3 & half month of salary with 20k advance remaining you can pay later after job confirmation.

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 9th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

This role is for one of Weekday's clients Min Experience: 2 years Location: gurugram, NCR, Delhi, NOIDA, Uttar Pradesh JobType: full-time Requirements About the Role: We are seeking a passionate and skilled AI/ML Engineer with 2+ years of experience to join our growing technology team. The ideal candidate will have a strong foundation in machine learning, data processing, and model deployment. You will work on developing and implementing cutting-edge AI and ML models to solve real-world problems and contribute to the development of intelligent systems across our product suite. You'll collaborate with cross-functional teams including data scientists, software engineers, and product managers to build scalable and robust ML-powered applications. Key Responsibilities: 🔹 Model Development & Deployment Design, build, and train machine learning models to support core product features. Experiment with supervised, unsupervised, and deep learning algorithms to solve business challenges. Deploy models into production environments and monitor their performance. 🔹 Data Handling & Feature Engineering Collect, clean, preprocess, and analyze large volumes of structured and unstructured data. Engineer features that enhance model performance and align with product requirements. Ensure data quality and consistency across the pipeline. 🔹 Model Optimization Evaluate model performance using relevant metrics (precision, recall, F1-score, ROC-AUC, etc.). Optimize models for speed and accuracy using hyperparameter tuning, ensemble methods, or transfer learning. 🔹 Collaboration & Integration Collaborate with backend and frontend teams to integrate AI/ML capabilities into products. Build APIs and services that expose ML models for consumption across applications. Work closely with data engineers and DevOps to deploy and scale ML pipelines. 🔹 Research & Innovation Stay updated on the latest trends, tools, and frameworks in AI/ML. Prototype and test innovative AI solutions, including NLP, computer vision, recommendation systems, or time series forecasting. Document methodologies, findings, and technical processes clearly. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 2+ years of hands-on experience in AI/ML model development and deployment. Strong knowledge of Python and ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, or similar. Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Understanding of ML lifecycle, including data preprocessing, model building, evaluation, and deployment. Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies like Docker is a plus. Knowledge of REST APIs and integration of ML models with applications. Excellent problem-solving and analytical skills. Strong communication skills and ability to explain complex ML concepts to non-technical stakeholders. Preferred (Nice to Have): Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Exposure to MLOps, model monitoring, or CI/CD pipelines. Familiarity with data versioning tools like DVC, MLflow, or Kubeflow

Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About Our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About The Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Design, train, and optimize machine learning models for various applications such as predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Deploy ML models into production environments using cloud platforms (AWS) or on-premises infrastructure. Collect, preprocess, and analyze large datasets to extract meaningful insights. Collaborate with data engineers to build robust data pipelines for model training and evaluation. Develop innovative algorithms to solve complex problems Continuously improve model performance through hyperparameter tuning, feature engineering, and experimentation. Work closely with architects, engineering managers, product managers, software developers, and domain experts to integrate AI/ML solutions into existing products and workflows. Translate business requirements into technical specifications and actionable AI strategies. Stay updated with the latest advancements in AI/ML research and tools. Experiment with state-of-the-art techniques and frameworks to enhance solution capabilities. Monitor deployed models for accuracy, bias, and drift over time. Implement mechanisms for retraining and updating models as needed. Requirements Proficiency in programming languages: Python, Java. Must have worked in Generative AI and proficient in any LLM Model, LangChain Experience with AI/ML libraries and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, etc. Strong understanding of statistical analysis, deep learning, and neural networks. Familiarity with big data tools: Hadoop, Spark, or Apache Flink. Hands-on experience with cloud services such as AWS ECS, EKS, EC2 etc Excellent problem-solving and analytical thinking abilities. Strong communication skills to explain complex concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced, agile environment. Experience with NLP for text representation, Information Extraction, semantic extraction techniques, data structures and modeling Knowledge of DevOps practices for ML (MLOps). Must have worked in Generative AI and proficient in any LLM Model Familiarity with containerization tools like Docker and Kubernetes. Contributions to open-source AI/ML projects or publications in relevant conferences/journals. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you Benefits We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About The Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

Location: Calicut, Kerala Job Type: Full-Time, Permanent Salary: ₹30,000 – ₹60,000 per month Aufait Technologies is a leading IT solutions provider specializing in web and mobile development, enterprise digital transformation , and AI-driven solutions . Our client-focused approach empowers businesses with smart, scalable, and impactful technologies. We're looking for an experienced and innovative AI/ML Engineer with a strong foundation in machine learning, data science, and model deployment. You’ll work with cross-functional teams to design and implement real-world AI solutions that drive business impact. Key Responsibilities: Build, train, and deploy machine learning and deep learning models Preprocess data and engineer relevant features from structured/unstructured datasets Collaborate with product and engineering teams to integrate models into production systems Work on advanced AI applications including NLP, Computer Vision, and Recommendation Systems Continuously monitor, evaluate, and improve model performance Stay current with AI/ML trends, tools, and research Required Skills: 3+ years of professional experience in AI/ML Proficiency in Python , with experience using TensorFlow, PyTorch, Scikit-learn, Keras Solid understanding of machine learning algorithms and statistical models Hands-on experience with data cleaning , EDA , and feature selection Experience deploying models using Flask , FastAPI , or similar frameworks Familiarity with Docker , Git , and version control systems Strong analytical thinking and problem-solving skills Preferred Qualifications: Experience with cloud platforms like AWS, Azure, or GCP Understanding of MLOps , pipelines, and automated deployment workflows Exposure to Natural Language Processing , Computer Vision , or Time Series Analysis Knowledge of SQL/MySQL and database integration Familiarity with data visualization tools like Matplotlib , Seaborn , or Plotly Benefits: Paid sick leave Opportunity to work on impactful AI projects Supportive, innovation-driven team culture Schedule: Day shift Monday to Friday Experience: AI/ML: 3 years (Preferred) Work Location: In-person (Calicut, Kerala) Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI/ML: 3 years (Preferred) Work Location: In person

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

Software Engineer II Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Design, train, and optimize machine learning models for various applications such as predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Deploy ML models into production environments using cloud platforms (AWS) or on-premises infrastructure. Collect, preprocess, and analyze large datasets to extract meaningful insights. Collaborate with data engineers to build robust data pipelines for model training and evaluation. Develop innovative algorithms to solve complex problems Continuously improve model performance through hyperparameter tuning, feature engineering, and experimentation. Work closely with architects, engineering managers, product managers, software developers, and domain experts to integrate AI/ML solutions into existing products and workflows. Translate business requirements into technical specifications and actionable AI strategies. Stay updated with the latest advancements in AI/ML research and tools. Experiment with state-of-the-art techniques and frameworks to enhance solution capabilities. Monitor deployed models for accuracy, bias, and drift over time. Implement mechanisms for retraining and updating models as needed. Requirements Proficiency in programming languages: Python, Java. Must have worked in Generative AI and proficient in any LLM Model, LangChain Experience with AI/ML libraries and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, etc. Strong understanding of statistical analysis, deep learning, and neural networks. Familiarity with big data tools: Hadoop, Spark, or Apache Flink. Hands-on experience with cloud services such as AWS ECS, EKS, EC2 etc Excellent problem-solving and analytical thinking abilities. Strong communication skills to explain complex concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced, agile environment. Experience with NLP for text representation, Information Extraction, semantic extraction techniques, data structures and modeling Knowledge of DevOps practices for ML (MLOps). Must have worked in Generative AI and proficient in any LLM Model Familiarity with containerization tools like Docker and Kubernetes. Contributions to open-source AI/ML projects or publications in relevant conferences/journals. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

We are seeking a passionate and self-motivated AI Intern to join our team. This internship is ideal for fresh graduates or final-year students who are eager to apply their knowledge of Artificial Intelligence, Machine Learning, and Data Science in real-world projects. You will work closely with senior developers and data scientists on various AI-driven applications and innovations. Responsibilities: Assist in designing, developing, and testing machine learning models. Collect, clean, and preprocess datasets. Support in implementing AI models into existing systems or proof-of-concepts. Conduct literature reviews and document technical research findings. Collaborate with cross-functional teams on various AI and software projects. Stay up-to-date with the latest AI tools, libraries, and research. Required Skills: Basic understanding of AI/ML concepts, algorithms, and applications. Familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Willingness to learn and take initiative. Preferred Qualifications (Nice to Have): Knowledge of deep learning, NLP, or computer vision. Experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS). Participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. We Offer 5 Day Working Paid Leave All Leave Encashment Health Insurance Festival Celebration Employee Engagement Great Work Space Annual Picnic OUR MISSION At ARK Infosoft, our mission is to empower businesses to grow by providing them with personalized IT solutions. We achieve this by leveraging the latest technologies, prioritizing our customers, and continuously seeking innovative ways to improve. Our goal is to be the most trusted partner in our clients’ journey towards digital advancement. We are dedicated to excellence, integrity, and social responsibility, aiming to create lasting value for our clients, employees, and communities. We are committed to ensuring a sustainable and prosperous future for all. OUR VISION Our vision is to establish ARK Infosoft as a leading IT company renowned for delivering creative solutions that help businesses succeed in today’s digital world. We aim to be the go-to partner for all their IT needs, fostering growth and prosperity in every industry we serve. By prioritizing innovation, collaboration, and sustainability, we envision a future where technology empowers businesses to reach their full potential. We strive to drive positive global impact, shaping a brighter tomorrow by enabling businesses to thrive in the digital age.

Exp : 15yrs to 20yrs Location: Chennai/Noida GEN AI ARCHITECT Domain :- Manufacturing, Oil and Gas, Life science, health care, TTL ( Primary domain ) Tire 1 companies. Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

Job Title: Senior Data Analyst Location: Andheri (Mumbai) Company Overview: Spinnaker Analytics is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise. Please visit www.spinnakeranalytics.com for more details. Job Description: We are seeking a skilled and detail-oriented Data Analyst with 3-4 years of experience to join our dynamic team. The Data Analyst will be responsible for gathering, processing, and analyzing data to provide actionable insights that support strategic business decisions. This role offers an opportunity to work on impactful projects and contribute to the development of advanced analytic solutions. Responsibilities: Collect, clean, and preprocess data from diverse sources to ensure data integrity and reliability. Conduct exploratory data analysis to identify complex datasets' trends, patterns, and anomalies. Develop and maintain interactive dashboards and reports to communicate insights effectively. Collaborate with cross-functional teams to understand data requirements and deliver tailored insights. Design and implement predictive models and analytical tools to enhance decision-making processes. Document methodologies, findings, and insights clearly and concisely for stakeholder review. Requirements: Bachelor’s degree in engineering, Computer Science, Statistics, or a related field. 3-4 years of experience in data analysis, with proficiency in programming languages and tools such as Python, R, SQL, or Excel. Experience with data visualization tools like Power BI . Strong analytical and problem-solving skills, with a keen attention to detail. Excellent communication skills, with the ability to present findings to both technical and non-technical audiences. Familiarity with machine learning techniques and their application in data analysis is a plus. Benefits: Opportunity to work in a collaborative and innovative environment with industry-leading technologies. Exposure to real-world projects that drive business impact and enhance technical skills. Mentorship and support for professional growth and career advancement. Flexible work hours and a supportive team culture.