1752 Keras Jobs - Page 27

Job Title: Machine Learning - AI Engineer Location: Bangalore (WFO Mandatory) Company: Vidal Health TPA About Us: At Vidal Health TPA, we are at the forefront of transforming healthcare through technology. As a leading Third-Party Administrator (TPA), we provide comprehensive health services that streamline healthcare administration, focusing on delivering a seamless experience to our clients. Our commitment to innovation, efficiency, and a customer-first approach has helped us become a trusted partner for health insurers and policyholders. We are currently looking for a talented Machine Learning - AI Engineer with 1+ years of hands-on experience in machine learning, artificial intelligence, and data science, who is excited to work in a fast-paced, dynamic environment. This is an excellent opportunity to work with cutting-edge technology and play a key role in shaping the future of healthcare technology. Key Responsibilities: Design, implement, and optimize machine learning and AI models to support business goals. Work with large datasets to extract, clean, and analyze data using machine learning algorithms and advanced statistical methods. Develop and deploy predictive models to improve decision-making processes in healthcare administration. Collaborate with cross-functional teams (product managers, data scientists, engineers) to understand business requirements and deliver scalable AI solutions. Optimize and fine-tune existing AI/ML models to enhance performance, reliability, and scalability. Take ownership of end-to-end solutions, from data processing and model development to deployment and maintenance. Stay up to date with the latest trends and developments in machine learning, AI, and healthcare technology. Troubleshoot and debug AI/ML-related issues, ensuring high-quality, robust solutions. Requirements: 1+ years of hands-on experience in machine learning, AI, and data science. Strong knowledge of machine learning frameworks (TensorFlow, Keras, PyTorch, etc.) and libraries (Scikit-learn, Pandas, NumPy). Experience in programming languages such as Python, R, or similar. Proficiency in handling large datasets, data wrangling, and feature engineering. Knowledge of data modeling, model evaluation, and optimization techniques. Understanding of AI and machine learning in real-world applications (preferably in the healthcare or insurance domain). Strong analytical, problem-solving, and critical-thinking skills. Ability to thrive in a fast-paced environment and take ownership of projects from start to finish. Excellent communication skills and the ability to work effectively in a collaborative, cross-functional team. Preferred Qualifications: Experience in deploying machine learning models into production environments. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker. Knowledge of deep learning techniques and frameworks. Familiarity with healthcare data standards and protocols (HL7, FHIR) is a plus. What We Offer: A dynamic and challenging work environment where innovation is encouraged. Opportunities to grow and learn new skills in a rapidly evolving industry. Competitive salary and benefits package. A collaborative team that values creativity, diversity, and ownership. The chance to make a direct impact on the future of healthcare technology. If you're passionate about AI/ML and ready to take ownership of impactful projects, we would love to hear from you! Join us at Vidal Health TPA and help shape the future of healthcare with your expertise. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Whitefield, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Can come for Face-to-Face Interview? Education: Bachelor's (Required) Experience: Machine Learning - AI Engineer : 1 year (Required) Location: Whitefield, Bengaluru, Karnataka (Required) Work Location: In person Application Deadline: 16/07/2025 Expected Start Date: 03/07/2025

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? We are seeking an experienced Machine Learning Engineer with 3-5 years of hands-on experience to join our team. The ideal candidate will design, develop, and deploy cutting-edge machine learning solutions, with a strong focus on modern GenAI techniques. You will work at the intersection of traditional ML engineering and emerging generative AI technologies, building scalable systems that leverage both conventional algorithms and state-of-the-art language models. Key Responsibilities ML System Development & Deployment Design and develop machine learning systems and self-running AI applications for predictive modeling and automation Build and optimize ML pipelines for data preprocessing, model training, and deployment using microservices architecture Implement and optimize machine learning algorithms using Python, with expertise in frameworks like TensorFlow, PyTorch, and scikit-learn Transform data science prototypes into production-ready solutions following SDLC best practices GenAI & Advanced Techniques Develop and implement Retrieval Augmented Generation (RAG) systems for grounding LLM outputs in external data Design and optimize prompt engineering strategies to enhance GenAI model performance Build multi-modal AI solutions that can process and generate content across text, images, and other data types- Implement advanced RAG techniques including context enrichment, and fusion retrieval Data Science & Analytics Perform statistical analysis and feature engineering to prepare datasets for model training Conduct data mining, cleaning, and preprocessing to ensure high-quality training data Analyze model performance metrics and implement strategies to improve accuracy and efficiency Software Engineering & DevOps Write robust, maintainable code following software engineering best practices Build RESTful APIs and microservices Technical Skills Programming & Frameworks Advanced proficiency in Python with experience in ML libraries (TensorFlow, PyTorch, Keras, scikit-learn) Strong understanding of software development lifecycle (SDLC) and Agile methodologies Experience with microservices architecture and RESTful API development Proficiency in NoSQL/SQL for data manipulation and retrieval Machine Learning & Data Science Deep understanding of ML algorithms including supervised/unsupervised learning, deep learning, and reinforcement learning Experience with data preprocessing, feature engineering, and model optimization techniques GenAI & Modern Techniques Hands-on experience with Large Language Models (LLMs) and transformer architectures Proficiency in prompt engineering techniques for optimizing GenAI outputs Experience implementing RAG systems using tools like LangChain or LlamaIndex Knowledge of multi-modal AI capabilities and cross-modal learning Cloud & Infrastructure Experience with cloud platforms (AWS, GCP, Azure) for ML model deployment Knowledge of containerization and orchestration technologies Preferred Qualifications Knowledge of advanced RAG techniques including query transformation and agentic architectures Contributions to open-source ML projects Soft Skills Excellent problem-solving and analytical thinking abilities Strong communication skills to explain complex ML concepts to non-technical stakeholders Ability to work collaboratively in cross-functional teams Self-motivated with a passion for continuous learning in the rapidly evolving AI landscape Education & Experience Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Location - Chennai (Hybrid) Experience - 3 to 5 Years What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

🎯 Role Overview We are looking for a passionate AI/ML & Data Science Trainer who can design and deliver real-world-focused content in Artificial Intelligence, Machine Learning, and Data Science. You’ll be responsible for creating a dynamic learning environment, delivering both conceptual clarity and practical skills. 📚 Key Responsibilities Deliver engaging training sessions on AI, Machine Learning & Data Science Prepare interactive lesson plans and hands-on coding activities Guide students through projects using tools like Python, Pandas, NumPy, Scikit-learn, etc. Evaluate student progress and provide mentorship Stay up-to-date with the latest industry trends, tools & practices Support in curriculum enhancement and industry alignment ✅ Requirements 1.5+ years of experience in AI/ML or Data Science (teaching or industry) Strong hands-on knowledge in Python, Data Analysis, Machine Learning algorithms, etc. Excellent communication and classroom handling skills Experience with Jupyter, TensorFlow, Keras, or related tools preferred Bachelor’s or Master’s in Computer Science / Data Science / related fields Bonus: Experience working on live industry projects or mentoring students 🌟 What You’ll Get Be part of Gujarat’s leading skill-based education brand Opportunity to shape future tech professionals Exposure to live training modules, seminars, and workshops Professional growth and learning opportunities 📧 Apply now: maninagar@rnwmultimedia.edu.in 📞 Call/WhatsApp: +91 9879293946 🌐 https://www.rnwmultimedia.edu.in/ahmedabad

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Developer and collaborate with forward-thinking startups to build intelligent systems, automate workflows, and integrate machine learning into real-world applications. You’ll work on everything from model development to deployment, with the freedom to structure your engagements as you choose. Plus, enjoy the flexibility to work remotely and take on projects that align with your passion and expertise. Role Overview As an AI Developer, you will: Build Intelligent Systems: Design and implement AI/ML models for various use cases including classification, recommendation, NLP, and computer vision. Develop & Deploy Models: Train, evaluate, and deploy models into production environments. Collaborate Across Teams: Work with product managers, engineers, and business stakeholders to integrate AI into end-user applications. What You’ll Do AI Model Development: Design, train, and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Work on use cases across NLP, computer vision, predictive analytics, and generative AI. End-to-End AI Pipeline: Preprocess data, build pipelines, and manage model lifecycle (training, evaluation, deployment). Deploy models via APIs or integrate them with backend systems or automation tools. Technical Requirements & Skills Experience: 5+ years in AI/ML development. Programming Languages: Proficient in Python (preferred), Java, or C++. Frameworks: Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn. Concepts: Strong understanding of algorithms, data structures, and core AI/ML concepts. Data: Experience with data wrangling, feature engineering, and working with large datasets. Bonus: Familiarity with LLM APIs (OpenAI, Claude, Gemini) or tools like LangChain, Hugging Face Transformers. What We’re Looking For A technically strong AI developer with a track record of building and deploying machine learning solutions. A creative problem-solver who enjoys working independently and collaboratively. A freelancer who thrives in fast-paced environments and can drive AI innovation from concept to implementation. Why Join Us? Immediate Impact: Work on cutting-edge AI projects that solve real business problems. Remote & Flexible: Choose when and how you work—hourly or project-based. Future Opportunities: BeGig will continue matching you with AI and ML roles that suit your expertise. Innovative Work: Partner with startups building the next wave of AI-driven products. Ready to take the next step? Apply now to become a key AI Developer for our client and a valued member of the BeGig network!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Hands-on experience in AI and drive the development of innovative AI and machine learning solutions Experience in developing solutions in the NLP space and relevant projects Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI/ML roles Experience with Azure development environments Experience with using and deploying LLMs Experience in developing solutions in the NLP space and relevant projects Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Knowledge of NLP literature, thrust areas, conference venues, and code repositories Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) DevOps Skills: Experience building and maintaining CI/CD pipelines Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc) Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc) Security and vulnerability management Familiarity with traditional software monitoring, scaling, and quality management (QMS) Preferred Qualifications Experience deploying and maintaining ML models in production Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc) MLOps skills Familiarity with model versioning tools (MLFlow, etc) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Location: Bangalore - Karnataka, India - Manyata Park Outer Ring Road Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(A) Job ID: R-44296-2025 Description & Requirements Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About the Role We are seeking a skilled and experienced Data Scientist with expertise in Natural Language Processing (NLP), Python programming, Generative AI, Large Language Models, Machine Learning, Deep Learning, and associated frameworks. The ideal candidate will play a key role in leading the development and implementation of AI and GenAI solutions. What You Will Do Design, develop, and implement Natural Language Processing solutions leveraging Python and associated frameworks. Work on Generative AI models, specifically Retrieval Augmented Generation (RAG), Agentic workflows, LLM finetuning etc to create innovative and effective solutions, ensuring alignment with business goals. Utilize Large Language Models for text generation, summarization, and related applications. Development, and implementation of machine learning models and algorithms. Develop and deploy solutions on the Azure/AWS cloud platform, ensuring scalability, reliability, and efficiency. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Deploy machine learning models into production environments and monitor their performance. Document methodologies, processes, and results to ensure reproducibility and knowledge sharing. Mentor and guide ML engineers and data scientists, fostering a collaborative and growth-oriented team culture. Stay up to date with the latest advancements in machine learning, Generative AI and related technologies. What You Need Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-12 years of hands-on experience in machine learning, data analysis, or software development. Strong fundamental knowledge of statistical modeling, machine learning, deep learning, Generative AI, natural language processing, computer vision etc. Proficient in programming languages such as Python and development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant, SQL, MongoDB etc. Experience with developing use-cases related to Conversational AI or Vision AI or AI enabled automation. Handson with software development best practices, including version control (Git), DevOps tools and Agile methodologies. Handson with MLOps/LLMOps tools and toolchain and their implementation for orchestration, automation, monitoring and retraining covering CI/CD/CT. Excellent problem-solving skills and ability to think critically and creatively. Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences. Ability to work independently and as part of a team in a fast-paced, dynamic environment. Experience with big data tools and platforms, such as Hadoop, Spark, or Hive Experience with latest technologies in natural language processing or computer vision or Generative AI (RAG, Agentic workflows, multi-modal models etc) Good understanding of Responsible AI aspects like explainability , privacy preservation, bias detection etc. Published research papers or contributions to the AI/NLP community. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

Role: Gen AI Engineer Location: Hyderabad Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API’s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API’s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG’s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master’s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out? Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. R_308144

Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems for Inturai Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks. Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems. Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications. Test and Ensure algorithms generate predictable outcomes. Stay up to date with developments in the machine learning industry Responsibilities Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Impeccable analytical and problem-solving skills Excellent time management and organizational skills Desire to learn Preferred qualifications Bachelors degree (or equivalent) in Electronics, Computer Science, or related field. Proven experience as a machine learning engineer or similar role Experience with Tensor, Python, Java, and R based implementations Experience with Digital signal processing Experience in building and consuming APIs Excellent communication and collaboration skills General knowledge of building machine learning systems Innovative mind with a passion for continuous learning

Role: Gen AI Engineer Location: Hyderabad Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

Role – Gen AI Engineer - Python Location - Hyderabad Mode of Interview - Virtual Interview Data - 5th June 2025 (Saturday) Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

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

About Cognida.ai Our Purpose is to boost your competitive advantage using AI and Analytics. We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies. We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges. We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value. We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’. Location: Hyderabad Role & Responsibilities Design and develop machine learning algorithms and deep learning applications and systems. Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks. Analyse complex datasets to uncover insights and patterns that help model development. Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications. Identify differences in data distribution that could potentially affect model performance in real-world applications. Ensure algorithms generate accurate user recommendations. Implement and test various search and recommendation algorithms to improve system performance. Optimise existing machine learning models for performance and scalability. Study and transform data science prototypes and apply appropriate machine learning algorithms and tools. Extend existing machine learning libraries and frameworks. Qualifications ML Engineer with 5+ years of experience. Should have worked in Generative AI, building annotations, models. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. In-depth knowledge of machine learning frameworks, like Keras or PyTorch. Familiarity with data structures, data modelling, and software architecture. Familiarity with Python, Java, and R Excellent communication and collaboration skills Ability to work with cross functional & client managers.

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Job Description More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

WHY GO WITH GREYORANGE? At GreyOrange, we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today’s fulfillment challenges – and we’re looking for modern minds to join us. About Our Solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter™ Fulfillment Operating System and Ranger™ robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Software Development Responsibilities Design and implement backend infrastructure and APIs. Write high-quality code that is robust, readable and scales. Possess the drive to dive deep. thrive and progress even in ambiguous situations. Encourage and support knowledge sharing within teams and external groups. Troubleshoot & debug applications. Adopt problem-solving as a way of life - always go to the root cause. Collaborate with the team to discuss and implement ideas. Build responsive, robust and optimized applications. Requirements: B.E/ B.Tech/M.E/M.Tech/ M.S in Computer Science, Electronics, or related fields from a premier institute. 3-6 years of work experience, having demonstrated problem-solving skills. Have experience designing and implementing non-trivial software systems (e.g., using multiple processes/threads/IPC etc.) Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, scikit-learn, Keras, with strong MLOps practices for model deployment and monitoring. Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices. Development experience using Java Spring boot, Python, Android, ReactJS Experience working on REST, Kafka based API integration Experience on designing scalable and distributed systems. Experience on docker, Kubernetes. Good understanding of design patterns, object oriented design, and frameworks. Experience in Algorithmic development Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns. Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

WHY GO WITH GREYORANGE? At GreyOrange, we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today’s fulfillment challenges – and we’re looking for modern minds to join us. About Our Solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter™ Fulfillment Operating System and Ranger™ robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Software Development Responsibilities Design and implement backend infrastructure and APIs. Write high-quality code that is robust, readable and scales. Possess the drive to dive deep. thrive and progress even in ambiguous situations. Encourage and support knowledge sharing within teams and external groups. Troubleshoot & debug applications. Adopt problem-solving as a way of life - always go to the root cause. Collaborate with the team to discuss and implement ideas. Build responsive, robust and optimized applications. Requirements: 6–10 years of experience in software development with strong problem-solving skills and expertise in building complex, high-performance systems. Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, Keras, with strong MLOps practices for model deployment and monitoring. Solid foundation in machine learning, deep learning, and AI integration into production systems with real-world performance trade-off understanding. Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices. Deep experience in designing scalable, distributed systems using microservices, event-driven architecture, and principles like CAP theorem and fault tolerance. Skilled in system strategies including load balancing, caching, service discovery, rate limiting, disaster recovery, and observability. Hands-on with Java Spring Boot, Python, Android, and containerized deployments using Docker and Kubernetes. Strong knowledge of RESTful services, Kafka-based messaging, multithreading, and inter-process communication. Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns. Experienced in version control (Git), performance tuning, algorithm design, and large-scale system optimization. Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What You Will Love About Working Here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Develop and implement AI and machine learning strategies for healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Roles & Responsibilities:  Understand and design solutions to Business problems leveraging Data science and AI  Should be able to understand and gather the requirement from Stakeholders.  Propose and execute the solution and present the deliverables to Stakeholders.  Manage and optimize the deliverables.  Mentor and Train new team members.  Develop POCs to enhance teams’ capability. Skillsets 1: Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models.  Experience training and evaluating ML models. Perform statistical analysis of results and refine models.  Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.  Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.  Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modelling.  Use various statistical techniques and ML methods to perform predictive modelling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business.  Stronghold on Visualization tool (or libraries) like SAS Visual Analytics, Tableau, Python, etc.  Expert in working on Statistical tools (Python/R/SAS).  Experience with cloud computing infrastructure like AWS/Azure/GCP.  Able to develop, test and deploy models on Cloud/Web. Skillsets 2: 1.BERT and Transformer Models: Proficiency in working with BERT and other transformer-based models for various NLP tasks, such as text classification, named entity recognition, question answering, and text generation. Familiarity with fine-tuning BERT on specific downstream tasks using techniques like transfer learning and domain adaptation. 2.Natural Language Processing (NLP): Strong understanding of NLP techniques, including text preprocessing, information extraction, text representation, sentiment analysis, named entity recognition, topic modeling, and information retrieval. 3.Machine Learning and Deep Learning: Proficiency in machine learning and deep learning algorithms and frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to train and evaluate NLP models using supervised and unsupervised learning techniques. 4.Programming Languages: Proficiency in programming languages commonly used in NLP, such as Python, Java, or C++. Ability to write efficient and clean code for data manipulation, model development, and deployment. 5.NLP Libraries and Tools: Familiarity with popular NLP libraries and tools, such as NLTK, SpaCy, Gensim, Stanford NLP, or CoreNLP. Ability to leverage existing librariesfor various NLP tasks and adaptthem to specific use cases. 8.Continuous Learning: Proactive approach to staying updated with the latest advancements in NLP research, technologies, and best practices. Active participation in conferences, workshops, and online forums. Qualifications  MCA/BE/B. Tech. /MBA/M.Stat./M.sc. or equivalent degree in Quant. from reputed institute.  3+ years of relevant experience. Soft Skills:  Excellent organizational skills and ability to prioritize wide range of tasks  Demonstrated initiative and creativity - ability to influence (add value)  Strong interpersonal, communication, organizational and planning skills.

Full time | Work From Office This Position is Currently Open Department / Category: DEVELOPER Listed on Jun 30, 2025 Work Location: CHENNAI BANGALORE HYDERABAD Job Descritpion of Gen AI/ Agentic AI Background Developer 6 to 8 Years Relevant Experience We are looking for a highly skilled and innovative Gen AI / Agentic AI Developer to join our advanced technology team. This role is ideal for a forward-thinking developer with a strong foundation in artificial intelligence and a passion for building intelligent, autonomous systems. The ideal candidate will bring deep technical expertise in AI frameworks, programming, and cloud platforms, along with strong analytical and problem-solving abilities. Key Responsibilities: Design and develop intelligent systems using Generative AI and Agentic AI principles. Build and deploy AI models leveraging frameworks such as TensorFlow, PyTorch, or Keras. Implement and support autonomous decision-making systems, enabling agent-based behaviors and interactions. Analyze complex data sets to derive insights, improve model performance, and support AI-driven functionalities. Integrate AI solutions into scalable environments using cloud platforms like AWS, Azure, or Google Cloud. Employ DevOps practices for seamless CI/CD pipelines, ensuring efficient deployment and iteration cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Communicate AI concepts clearly and effectively to non-technical stakeholders. Contribute to a team-oriented environment, sharing knowledge and participating in problem-solving discussions. Required Technical Skills: Proficiency in programming languages: Python, Java, or C++. Hands-on experience with leading AI/ML frameworks: TensorFlow, PyTorch, Keras, etc. Deep understanding of Agentic AI systems and autonomous workflows. Solid knowledge of cloud services (AWS, Azure, Google Cloud). Familiarity with DevOps tools and methodologies for continuous integration and deployment. Key Competencies: Analytical Thinking: Strong ability to interpret complex data and design intelligent algorithms. Problem-Solving: Creative and critical thinker, able to approach challenges from multiple angles. Communication: Excellent verbal and written skills, capable of explaining technical solutions in layman’s terms. Team Collaboration: A proactive contributor in team environments, focused on shared success. Required Skills for Gen AI/ Agentic AI Background Developer Job Python Java C++ TensorFlow PyTorch or Keras AWS Azure or Google Cloud Our Hiring Process Screening (HR Round) Technical Round 1 Technical Round 2 Final HR Round

Duration 6 Months AI (our general term for data science, machine learning, and deep learning) is one of the most exciting technologies of the decade. This role is your opportunity to build and deploy new AI products and projects from the ground up. You will be part of a team helping chart our AI strategy and define the problems we are solving with AI. You will help build our AI development and production infrastructure and set our technical standards. To succeed you must become an expert in building AI models and putting them into production. Responsibilities Set up and manage our AI development and production infrastructure. Build data ingest and data transformation infrastructure. Identify transfer learning opportunities and new training datasets. Build AI models from scratch and help stakeholders understand results. Deploy AI models into production. Create APIs and help business customers put results of your AI models into operations. Keep the latest AI research relevant to our business domain. Skills & experience: Demonstrated proficiency in multiple programming languages with a strong foundation in statistical platforms such as Python, R, SAS, or MatLab. Experience building AI models in platforms such as Keras, TensorFlow, or Theano. Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects. Proficiency in Python and TensorFlow is must. Requirement: Immediate Joining