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Senior GenAI/ML/Full Stack AI Engineer Location : Anywhere in India (Preferable in Bangalore) Employment Type : Full-time The Opportunity We are seeking a highly experienced and versatile Senior Engineer with a strong foundation in Machine Learning, Generative AI, and full-stack development principles to join our cutting-edge AI team. In this role, you will be instrumental in designing, developing, deploying, and maintaining innovative AI-powered solutions, with a significant focus on Large Language Models (LLMs). You will leverage your deep expertise in Python, AI/GenAI frameworks, MLOps, and DevOps practices to build scalable and robust AI applications. While candidates across India are encouraged to apply, preference will be given to those located in or willing to relocate to : Lead the development and implementation of AI and GenAI solutions, with a strong emphasis on Large Language Models (LLMs). Design, build, and manage scalable and efficient infrastructure for training, fine-tuning, and deploying LLMs. Utilize Python and relevant AI/GenAI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers) for model development and experimentation. Leverage data manipulation libraries such as Pandas and NumPy for effective data preprocessing and analysis. Develop robust and scalable APIs using FastAPI to expose AI/GenAI models and functionalities. Apply strong software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD), and automated testing, throughout the development lifecycle. Implement and manage MLOps workflows for the efficient deployment, monitoring, and maintenance of AI models in production. Utilize DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform to automate infrastructure provisioning and application deployment. Implement advanced CI/CD practices to ensure rapid and reliable delivery of AI solutions. Collaborate effectively with data scientists, researchers, and other engineers to translate business requirements into technical implementations. Contribute to the design and architecture of our AI platform and infrastructure. Stay up-to-date with the latest advancements in AI, GenAI, MLOps, and related Required : 7+ years of professional experience with a strong focus on Python development and AI/GenAI frameworks. Proven expertise in implementing and managing Large Language Models (LLMs). Solid experience with data manipulation libraries such as Pandas and NumPy. Strong proficiency in developing APIs using FastAPI. Comprehensive understanding of software engineering principles, including : Version control using Git. Continuous Integration and Continuous Deployment (CI/CD) practices. Automated testing methodologies. Essential experience in MLOps and ML Engineering, with a demonstrable track record of developing and maintaining AI solutions in production. Proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform. Experience implementing advanced CI/CD pipelines (ref:hirist.tech)

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist – GBS Commercial Location: Bangalore Reporting to: Senior Manager – GBS Commercial Purpose of the role We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Key tasks & accountabilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams 3. Qualifications, Experience, Skills Level of educational attainment required: BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Previous work experience required: Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Technical skills required: Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) And above all of this, an undying love for beer! We dream big to create future with more cheers.

Job Summary: We are looking for a skilled and motivated Machine Learning Engineer with 2–3 years of experience to join our data science and engineering team. In this role, you’ll help build and deploy ML models that drive insights, automation, and intelligent products for the business. You’ll work closely with data scientists, software engineers, and product teams to take ML solutions from concept to production. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications Collaborate with cross-functional teams to understand business problems and translate them into ML tasks Perform data preprocessing, feature engineering, and exploratory data analysis Train, validate, and fine-tune ML models using libraries such as Scikit-learn, TensorFlow, or PyTorch Package and deploy models via APIs or within production systems Monitor model performance and implement improvements over time Document experiments, models, and processes clearly and thoroughly Required Qualifications: 2–3 years of experience in machine learning or applied data science roles Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch Strong understanding of supervised and unsupervised learning algorithms Experience working with data manipulation tools like Pandas and NumPy Familiarity with SQL and working with relational or NoSQL databases Basic knowledge of version control (e.g., Git) and software development best practices Understanding of ML lifecycle and model deployment Preferred Qualifications: Experience deploying models in cloud environments (AWS, GCP, Azure) Familiarity with ML pipeline tools like MLflow, Kubeflow, or Airflow Exposure to NLP, computer vision, or time series forecasting is a plus Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field Benefits: Competitive salary and performance-based bonus Health, dental, and vision insurance Paid time off and holidays 401(k) with company match Training budget and opportunities for career growth

Job Description F-Secure makes every digital moment more secure, for everyone. For over 35 years, we’ve led the cyber security industry, protecting tens of millions of people online together with our 200+ service provider partners. We value our Fellows' individuality, with an inclusive environment where diversity drives innovation and growth. What makes you unique is what we value – be yourself, that is (y)our greatest asset. Founded in Finland, F‑Secure has offices in Europe, North America and Asia Pacific. About The Role We are looking for skilled Machine Learning Engineers to join our Technology team in Bengaluru! At F-Secure, we're developing cutting-edge AI-powered cybersecurity defenses that protect millions of users globally. Our ML models operate in dynamic environments where threat actors continuously evolve their techniques. We're seeking a motivated individual to perform in-depth analysis of data and machine learning models, develop and implement models using both classical and modern approaches, and optimize models for performance and latency. This is a fantastic opportunity to enhance your skills in a real-world cybersecurity context with significant impact. This role will be located in Bengaluru, India. You can choose whether you work at our Bengaluru office, or in a hybrid mode from your home office. We hope you are able to join us for common gatherings at the Bengaluru office when needed. Key Responsibilities To perform in-depth analysis of data and machine learning models to identify insights and areas of improvement. Develop and implement models using both classical machine learning techniques and modern deep learning approaches. Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection. Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements. Optimize models for performance and latency, including the implementation of caching strategies where appropriate. Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions. What are we looking for? Prior experience from utilizing various statistical techniques to derive important insights and trends. Proven experience in machine learning model development and analysis using classical and neural networks based approaches. Strong understanding of LLM architecture, usage, and fine-tuning techniques. Solid understanding of statistics, data preprocessing, and feature engineering. Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.). Strong debugging and optimization skills for both training and inference pipelines. Familiarity with data formats and processing tools (Pandas, Spark, Dask). Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem. Additional Nice-to-have's Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar). Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics). Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes). Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection. Exposure to distributed training and model parallelism techniques. Prior experience in AB testing ML models in production. What will you get from us? You will work together with experienced and enthusiastic colleagues, and within F-Secure you will find some of the best minds in the cyber security industry. We actively encourage our Fellows to grow and develop within F-Secure, and in your career here you can find yourself contributing to any number of our other products and teams. You decide what to make of this role, what your priorities are, and how you organize your work for the best benefit to us all. We offer interesting challenges and a competitive compensation model with wide range of benefits. You get a chance to develop yourself professionally in an international and highly motivated team serving our customers in providing world class security, privacy and uncensored access to information online. You get to work in a flexible, agile, and dynamic working environment that supports individual needs. Giving our people both support and the opportunity to be in charge of their own work is something that is in our DNA. We are in a unique phase in our 30-year history and with curiosity and excitement in the air we see no limits for building a strong and fruitful career with us! A security vetting will possibly be conducted for the selected candidate in accordance to our employment process.

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries. About the Role ROLE: Data Scientists/ Leads/ Architects Assist in developing AI and machine learning models using Microsoft Azure AI tools such as Azure Machine Learning Cognitive Services and OpenAI integration Support data collection cleaning and preprocessing efforts for structured unstructured and geospatial datasets including data from Esri platforms Collaborate with software engineers data scientists GIS analysts and business stakeholders to embed AI functionality into modern mobile and web applications Build deploy and monitor AI solutions using Azure ensuring scalability and performance Create clear and maintainable technical documentation including model specifications integration workflows and user guidance Participate in product planning and agile development meetings contributing AIML and GIS insights to the team Stay uptodate on the latest Microsoft AI advancements including Responsible AI practices and Azure OpenAI capabilities Champion the adoption of AI and GIS technologies across the organization through demos technical workshops and stakeholder presentations Required Skills Proficiency in Python and experience with machine learning libraries such as scikitlearn TensorFlow or PyTorch Handson experience using Microsoft Azure tools for AIML model training deployment and monitoring Familiarity with Esris ArcGIS platform and its Pythonbased tools eg ArcPy ArcGIS API for Python Understanding of spatial data GIS workflows and data visualization using maps Strong problemsolving skills attention to detail and the ability to communicate clearly with technical and nontechnical audiences Ability to thrive in crossfunctional teams and contribute to collaborative solution design Preferred Skills Experience with Azure Machine Learning Cognitive Services eg Azure Language Vision or Speech APIs and Azure OpenAI Familiarity with Power Platform Power BI Power Automate and its integration with AI models Knowledge of cloudnative architectures and DevOps practices using Azure DevOps or GitHub Actions Experience working with Esri products such as ArcGIS Online ArcGIS Pro and ArcGIS Enterprise Exposure to containerization Docker REST APIs and deploying ML models into production environments Interest in NLP computer vision or predictive analytics in a GIS context Qualifications Bachelors degree in Computer Science Data Science Artificial Intelligence Geographic Information Systems or a related field Masters degree is a plus Internship or project experience applying AIML techniques using Microsoft tools and cloud services Strong motivation to stay current with evolving Azure AI and GIS technologies Excellent interpersonal organizational and written communication skills Ability to manage multiple priorities and deliver highquality work in a fastpaced agile development environment LTIMindtree believes in being an equal opportunity employer. Diversity initiatives and programs focus on promoting values and inclusion among employees at the workplace. There are several initiatives at LTIMindtree that promote a gender sensitive and inclusive work environment. These initiatives aim at having a significant impact and address needs that are specific to the development, engagement, growth and retention of women.

Are you passionate about Machine Learning, AI, and building smart, scalable solutions? Bug Aeterium is looking for an enthusiastic AI/ML Intern to join our team and work on real-world, production-grade projects alongside experienced engineers and product minds. What You’ll Do: Prototype ML models (NLP, recommender systems, predictive analytics) Work with real data: preprocessing, feature engineering, model tuning Collaborate on AI-first product features Get mentored in deploying models using APIs, containers, and cloud Learn how to take ML projects from notebook to production What We’re Looking For: Solid Python + ML fundamentals (scikit-learn, pandas, etc.) Familiarity with TensorFlow or PyTorch Bonus: knowledge of LLMs, LangChain, FastAPI, Git, Docker 💼 Role Details: 🕒 Duration: 6 months 💰 Stipend: ₹1500/month + Bonus 🌍 Location: Remote / Hybrid 🗓 Start: Immediate 🎓 LOR + Certificate provided ✨ Why Bug Aeterium? We're not assigning toy problems — you’ll help build the future of AI-enabled platforms in a startup that values ownership, curiosity, and creativity. 📩 Apply Now Send your resume and a short note to: hr@bugbuk.com Subject Line: Application – AI/ML Intern – [Your Name] Let’s build something amazing together. 💡 #Hiring #Internship #AI #MachineLearning #RemoteInternship #TechStartups #BugAeterium

We are seeking a talented and passionate AI/ML Software Developer to join our growing team. You will play a key role in developing and deploying cutting-edge AI and machine learning applications that will drive the success of our business. You will work closely with engineers, data scientists, and product managers to bring innovative ideas to life, from concept to production. Responsibilities Design, develop, and deploy production-ready AI and ML applications. Collaborate with data scientists to understand data requirements, analyze datasets, and prepare data for model training. Select and implement appropriate machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) based on project needs. Train, evaluate, and optimize machine learning models to achieve desired performance metrics. Develop and integrate AI/ML models into existing software systems and applications. Ensure the scalability, reliability, and performance of AI/ML solutions. Write clean, maintainable, and well-documented code. Stay up-to-date with the latest advancements in AI/ML technologies and best practices. Communicate effectively with technical and non-technical stakeholders. Qualifications Minimum 2+Years of experience. Master's degree in Computer Science, Software Engineering, or a related field (Bachelor's degree with significant experience may be considered). Proven experience building and deploying production-ready AI/ML applications. Strong understanding of machine learning algorithms and frameworks. Experience with data preprocessing, feature engineering, and model optimization techniques. Proficiency in programming languages such as Python, Java, or C++. Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Excellent communication and collaboration skills. Note: Candidates selected for this position should be willing to relocate to Nashik as the role requires onsite presence. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Food provided Health insurance Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Experience: AI/ML: 2 years (Required) Location: Nashik, Maharashtra (Required) Willingness to travel: 50% (Required) Work Location: In person

Description Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities:  Implement and optimize AI/ML algorithms for product integration.  Collaborate with data scientists to deploy models and integrate them with software products.  Design scalable solutions for AI/ML applications.  Develop automated pipelines for continuous model training and updates.  Work with engineering teams to ensure smooth integration and operation of AI models in production.  Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience:  4 – 6 years of hands-on experience in machine learning model development and deployment.  Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems.  Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required  Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks.  Experience with model deployment and monitoring in production environments.  Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure).  Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Requirements Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Job responsibilities Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Job Title Intern – Data Scientist (Medical Imaging and Computer Vision) Location: On-site Bengaluru About Us At nFerence Labs , often referred to as the "Google of Biomedicine" (see nference.ai/news for our latest research), we are building a large-scale pharmaco-biomedical computing platform. Using cutting-edge AI and Deep Learning on clinical text, medical images, and other biomedical signals, we aim to accelerate drug discovery and enhance early disease detection. We work closely with leading medical institutions like the Mayo Clinic to extract insights from medical data—such as radiology images, patient notes, and lab results. Our team consists of top-tier talent from institutions like MIT, Harvard, IITs, IISc , and more, combining expertise in computer science, biomedical research, and clinical medicine. About The Role We are looking for a motivated Data Science Intern to join our Medical Imaging and Computer Vision team. This internship offers a unique opportunity to gain hands-on experience developing AI models that solve real-world healthcare challenges. Key Responsibilities Assist in developing and evaluating deep learning models for medical imaging (e.g., classification, segmentation, object detection). Support image preprocessing, annotation, and data handling workflows involving DICOM and clinical image formats. Help design and test pipelines for tasks like OCR , entity detection, and de-identification of sensitive medical data. Collaborate with data scientists and medical experts to understand clinical requirements. Participate in model validation, error analysis, and performance tuning. Contribute to internal documentation, code organization, and reproducibility using tools like Git and Docker . Required Skills And Qualifications Recent Bachelor’s or Master’s graduate in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field. Strong interest in computer vision and medical imaging . Familiarity with Python and at least one deep learning library (e.g., PyTorch , TensorFlow ). Basic knowledge of OpenCV , image processing , or model training workflows. Good problem-solving skills and willingness to learn. Strong communication and team collaboration abilities. Preferred Skills (Good To Have) Academic or project exposure to medical imaging or OCR systems . Basic understanding of Docker , Git , or cloud services (AWS/GCP). Awareness of HIPAA , data privacy, or ethical AI practices. What We Offer Work on impactful healthcare AI projects. Mentorship from experienced professionals in AI, clinical research, and medical imaging. A collaborative and fast-paced learning environment. Access to world-class datasets and compute infrastructure. Possibility of full-time conversion based on performance and project needs.

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.

Role: Gen AI Engineer Location: Hyderabad Mode of Work : Hybrid Notice Period : 0-25 Days Job Description: Key Responsibilities: Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI. Implementing AI models: This involves building and integrating AI models into existing systems and applications. Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering. Data preprocessing and analysis: This involves preparing data for use in AI models. Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders. Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments. Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results. Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks. Required Skills: Strong programming skills in Python: Python is the preferred language for AI development. Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively. Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines. Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries. Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization. Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments. Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders. Optional Skills: Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models. Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner. Experience with DevOps practices: This can help with automating the development and deployment of AI models. Job Type: Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Schedule: Day shift Experience: Total: 6 years (Required) GenAI : 3 years (Required) Python : 4 years (Required) LLM : 3 years (Required) OpenAI, Claude, Gemini : 4 years (Required) Azure : 3 years (Required) Work Location: In person

Site Name: Bengaluru Luxor North Tower Posted Date: Jul 2 2025 GSK is one of the world’s foremost pharmaceutical and healthcare companies and we are proud to be leading a healthcare revolution. By disrupting our approaches to R&D and commercial business processes, AI and agents are allowing us to integrate, simplify and unlock all our data to drive innovation, decision making and enable our transformation in servicing our patients, healthcare professionals and consumers. The Enterprise AI Platform team is seeking an experienced Director, Enterprise AI Platform to help lead the development and execution of our enterprise-wide AI platform strategy as part of the Enterprise Data & AI platform leadership team. This role will be instrumental in shaping the future of AI capabilities across the organization, enabling scalable solutions that empower teams to harness the full potential of AI and machine learning (ML). Key responsibilities : As a strategic leader, you will be a driving force behind our enterprise-wide AI platform, empowering teams to unlock the full potential of AI and machine learning (ML). Your ability to influence and inspire will be critical in aligning diverse stakeholders and driving AI adoption across GSK. You will be the visionary for what AI and AI platforms mean to GSK, helping to shape the future of healthcare. Strategic AI Vision, Influence, and Partnership: Establish and articulate a compelling next-gen vision for the Enterprise AI Platform, aligning with GSK’s strategic goals and industry trends. Act as a recognized thought leader in AI/ML, proactively identifying and advocating for innovative AI solutions. Cultivate strong relationships with cross-functional teams (engineering, product, data science, business units) to drive collaborative AI initiatives. Influence senior leadership and stakeholders to prioritize AI investments and initiatives, fostering a data-driven culture. Establish strategic partnerships with external vendors and research institutions. Platform Innovation and Scalable Architecture: Lead the design and development of a scalable, robust AI platform that supports diverse enterprise use cases, anticipating future needs. Lead the enablement of platform capabilities for rapid ingestion, preprocessing, and creation of AI-ready datasets, optimizing for advanced RAG, fine-tuning, and multi-agent systems. Champion the adoption of cutting-edge AI technologies, including multi-agent systems, advanced RAG, and generative AI, to drive business value. Drive continuous improvement in platform performance, reliability, and user experience, leveraging agile methodologies and best practices. Lead the development and deployment of multi-agent systems that can automate complex business processes. Governance, Responsible AI (RAI), and Talent Development: Champion Responsible AI (RAI) practices, ensuring ethical model development, bias mitigation, and compliance with regulatory standards (e.g., NIST, GxP). Act as a GSK leader in prompt engineering, AI/ML best practices, and multi-agent orchestration, fostering a culture of excellence. Ensure high levels of model evaluation accuracy and implement robust evaluation frameworks. Lead the development of training programs to increase AI literacy across the organization. Technical Strategy and Business Impact: Balance hands-on technical oversight with strategic leadership, ensuring alignment with business objectives. Drive the platform to deliver measurable business impact, while proactively managing technical debt. Develop and track key performance indicators (KPIs) to measure the success of AI initiatives. Technical skills and experience required: Bachelor's or master’s degree in computer science, Engineering, or a related field. Proven experience (18+ years) in leading and managing technical teams, with a track record of fostering collaboration and driving innovation. Expertise in designing and building scalable AI platforms capable of supporting enterprise-wide AI initiatives. Strong ability to communicate complex technical concepts to both technical and non-technical audiences. Strong proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services, with experience in deploying and managing AI solutions in cloud environments. Ability to teach and accelerate the organization's solution delivery of AI technologies. Proven experience in developing and deploying production-quality AI/ML models and solutions, including both classic ML and generative AI. Strong understanding of platform engineering principles and practices for deploying and managing AI services at scale. Experience in developing and deploying multi-agent systems capable of automating complex business processes. Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs. Skills Artificial Neural Networks (ANNS), Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning Operations, Model Validation, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way. GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable. If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.

📍 Location: India / Remote (WFH) 🕒 Schedule: Mon–Fri, 10 AM–6 PM 📅 Type: Full-Time 💼 Experience: 3–5 Years About the Role We’re hiring a Senior AI/ML Engineer to lead the design, development, and deployment of scalable AI solutions—including Generative AI, LLMs, and sustainability-driven ML systems . This is a high-impact, hands-on role where you’ll collaborate cross-functionally, own the end-to-end ML lifecycle, and build products that deliver real-world business value across industries like FinTech, HealthTech, and more. Company Description SynerPeak HR Consultants specializes in connecting exceptional talent with forward-thinking companies. They help organizations scale by delivering top-tier professionals who align with their culture, values, and goals. With expertise in various industries, SynerPeak offers end-to-end recruitment solutions, executive search, talent mapping, employer branding consultation, and contract-based hiring. What You'll Bring Strong command of Python, SQL , and ML frameworks: scikit-learn, TensorFlow, PyTorch Experience with ML pipelines (Airflow, MLflow, Kubeflow) and cloud platforms (AWS/GCP/Azure) Skilled in model deployment , MLOps , containerization (Docker, Kubernetes), CI/CD Familiar with deep learning , LLMs , RAG , and Agentic AI frameworks (LangChain, OpenAI API) Key Responsibilities ML & GenAI Engineering Build and deploy models for NLP, recommendation, classification, etc. Fine-tune LLMs and implement RAG-based multi-agent GenAI systems Manage full ML lifecycle: deployment, monitoring, optimisation, drift detection Handle data preprocessing, feature engineering, and model evaluation Work with cross-functional teams and contribute to product decisions Convert business goals into AI-driven technical solutions Stay ahead in AI/ML research and rapidly apply new techniques You’re a Great Fit If You... Take initiative and own your decisions Know when not to use GenAI Can clearly explain trade-offs to engineers & business stakeholders Why Join Us? Flexibility & Time Off Flexible hours Paid leave (sick, personal, bereavement) Fully paid insurance 6 months maternity & 3 months paternity leave Extras Team events (virtual + in-person) Equity options & competitive salary What You'll Work On 50% : Building robust, production-grade AI systems 25% : Prototyping and researching innovative ML/GenAI ideas 25% : Collaborating with stakeholders to solve real-world business challenges Ready to lead real-world AI innovation? Apply now and be part of something transformative. Please send your updated Resume and cover letter to hr@synerpeak.com

Experience Fresher Positions 2 Training Period: 3 to 6 Months Employment Bond: 2-year contract with ₹1 lakh cheque submission Location: Ahmedabad (On-site) Key Responsibilities: Assist in developing ML models and data pipelines Perform data preprocessing, analysis, and visualization Research AI trends and algorithms Support model testing and deployment Document development processes Required Skills: Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn) Strong analytical and mathematical skills Basic understanding of data science concepts Interest in AI/ML trends and applications Qualifications: B.E./B.Tech, B.Sc (CS/IT),M.Tech, M.Sc (CS/IT), MCA, or equivalent degree in Computer Science, Information Technology, or a related field. Minimum 70% throughout academics

Company : Othor AI Location : Bangalore/Remote Employment Type : Full-time Experience Level : 0-2 years Salary : ₹20,000 - ₹40,000 per month (initial 6-month period) About the Role Join Othor AI as a Full Stack AI Developer and be part of building next-generation AI-powered applications that transform how businesses interact with data. This is an exceptional opportunity for early-career developers passionate about artificial intelligence to work on cutting-edge projects while developing expertise across the entire technology stack. You'll contribute to developing intelligent dashboards, data analytics platforms, and AI-driven insights that help companies make smarter decisions. Key Responsibilities Develop end-to-end AI applications using Python backends and modern React/Next.js frontends Build and deploy machine learning models and integrate them into web applications Create intelligent data visualization dashboards and analytics platforms Design and implement RESTful APIs using FastAPI and Flask for AI model serving Work with large datasets to extract meaningful insights and build predictive models Collaborate with cross-functional teams to translate business requirements into AI solutions Optimize application performance and ensure scalable AI model deployment Stay updated with the latest AI/ML technologies and implement best practices Required Skills & Experience Programming Languages : Strong foundation in Python and JavaScript Backend Frameworks : Experience with FastAPI or Flask for API development Frontend Technologies : Proficiency in React and Next.js for building modern web interfaces AI/ML Fundamentals : Basic understanding of machine learning concepts and data science principles Data Handling : Experience working with datasets, data preprocessing, and analysis Problem-Solving : Strong analytical thinking and ability to break down complex AI challenges Learning Mindset : Enthusiasm for AI technologies and continuous learning Preferred Qualifications Familiarity with AI/ML libraries (scikit-learn, pandas, numpy, TensorFlow, PyTorch) Experience with data visualization libraries (Chart.js, D3.js, Plotly) Knowledge of database technologies (PostgreSQL, MongoDB) Understanding of cloud platforms and AI model deployment Experience with version control (Git) and collaborative development Background in statistics, mathematics, or computer science What We Offer Cutting-Edge Technology : Work with the latest AI and web development technologies Learning & Growth : Comprehensive training in AI/ML and full-stack development Innovation Culture : Be part of a team that's pushing the boundaries of AI applications Flexible Work : Hybrid work model with options for remote collaboration Career Advancement : Clear growth path with performance-based salary increases Mentorship : Learn from experienced AI engineers and data scientists Impact : Build products that directly influence business decision-making Our Selection Process Application Review : Portfolio and resume evaluation Screening Assignment : Build an AI-powered analytics dashboard Technical Assessment : AI/ML and full-stack development evaluation Technical Interview : Deep dive with our AI engineering team HR Interview : Culture fit and growth potential discussion Perfect Candidate Profile We're looking for someone who is excited about the intersection of AI and web development, has a strong foundation in programming, and wants to grow into a versatile AI engineer. Whether you're a recent graduate, a bootcamp alumni, or someone transitioning into AI development, we value curiosity, problem-solving ability, and the drive to learn over extensive experience.

Job Summary We are seeking a highly skilled and experienced AI/ML Subject Matter Expert (SME) to lead the design, development, and deployment of cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will possess deep technical expertise, a strong research background, and a proven ability to translate complex business problems into intelligent, scalable models and systems. Key Responsibilities Serve as the primary expert on AI/ML technologies, frameworks, and best practices across internal teams or client engagements. Design, develop, train, test, and deploy machine learning models, including supervised, unsupervised, and reinforcement learning. Collaborate with data scientists, engineers, and product teams to deliver end-to-end AI/ML solutions. Provide strategic direction on AI adoption, model interpretability, and responsible AI practices. Evaluate and select appropriate algorithms, tools, and technologies based on business and technical requirements. Stay abreast of AI/ML research and industry trends; lead the adoption of emerging techniques like LLMs, generative AI, or federated learning. Present complex AI/ML concepts and project outcomes to non-technical stakeholders and executives. Mentor junior team members and contribute to talent development and technical leadership within the team. Qualifications Required: Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. 5+ years of experience in AI/ML solution design and implementation. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong knowledge of model development lifecycle, including data preprocessing, feature engineering, and model validation. Experience with cloud platforms (AWS, Azure, GCP) and ML Ops pipelines. Strong analytical and problem-solving skills with experience applying AI to real-world problems. Thanks & Regards Prashant Awasthi Vastika 9711189829

About the Company We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. About the Role The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. Responsibilities Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling. Qualifications Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Required Skills Data analysis Anomaly detection Machine learning Big data analytics Programming skills Deep learning Techniques Preferred Skills Experience in aviation safety domain Familiarity with AI tools Pay range and compensation package Details regarding pay range or salary will be discussed during the interview process. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

Role Overview : with a focus on AI, you will be responsible for developing scalable AI solutions, optimizing algorithms, and collaborating with cross-functional teams to enhance our product offerings. You will leverage your expertise in Python and machine learning frameworks to build and deploy AI models that drive business outcomes. Key Responsibilities: Skills required: Flask, Fast API , LAMBDA, AI-ML, LLM, Lambda, CNN, YOLO, OpenCV. Design, develop, and implement AI models and algorithms using Python. Collaborate with data scientists and other engineers to integrate AI capabilities into our products. Optimize and maintain existing AI systems to improve performance and accuracy. Conduct data preprocessing and feature engineering to prepare datasets for model training. Stay current with the latest advancements in AI technologies and methodologies. Write clean, maintainable, and efficient code while following best practices in software development. Participate in code reviews and contribute to team knowledge sharing. About US -: Webmobril is One of the top-notch IT companies based in Delhi, NCR; India and also established in the US. Offering exclusive and affordable Web, Mobile, and Game app development, Cyber Security Assessment, Digital Marketing services globally. Recently we started Staffing Services and Travel & Tourism services . We are a team of experienced, dedicated enthusiastic, innovative, and creative professionals to serve a range of business goals with our advanced tools and technologies. For more detail you can go through our company website: https://www.webmobril.com/

We're Hiring: Machine Learning Engineer/Data Engineer Location: Hyderabad Employment Type: Full-Time Company: EXARGEN We’re offering an exciting opportunity for a Machine Learning Engineer/Data Engineer to join our dynamic team, a company focused on simplifying international trade. Key Responsibilities: •Design, build, and maintain scalable data pipelines for diverse datasets. •Develop and implement advanced Natural Language Processing (NLP) models and neural network architectures. •Perform data cleaning, preprocessing, and augmentation to ensure high-quality inputs for machine learning models. •Collaborate with cross-functional teams to deploy machine learning models in production environments, adhering to MLOps best practices. •Stay updated with the latest advancements in large language models, including GPT, LLAMA, and Falcon, and explore their applications. Qualifications: •Bachelor's or Master's degree in Computer Science, Data Science, or a related field. •Minimum of 1.5-2 years of professional experience in machine learning, with a focus on NLP and neural networks. •Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or similar. •Demonstrated experience in designing and managing scalable data pipelines. •Strong understanding of MLOps principles and experience deploying models in production environments. •Familiarity with large language models like GPTs, LLAMA, Falcon, etc. Preferred Skills: •Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployments. •Knowledge of containerization and orchestration tools such as Docker and Kubernetes. •Strong problem-solving abilities and excellent communication skills. Why work with us? Opportunity to work on groundbreaking projects in AI and machine learning. Mentorship & Learning – Work closely 1-1 with the founders of the company. Friendly Culture – Join a supportive team that values your input and contributions. If you're passionate about advancing NLP and machine learning technologies and meet the above qualifications, we'd love to hear from you. Engagement Type: Direct -hire Job Type: Permanent Location: Remote/ Onsite (Hyderabad) Desired Skills and Experience Communication, and Falcon, GPT, LLAMA, LLM, MLOps, neural networks., PyTorch, TensorFlow, AWS, Azure, Docker, GCP, Kubernetes, NLP, Python. Let’s build the future of data together!

Job Title: Senior AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 2- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. We’re looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities: Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles – from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

Senior AI Engineer to help build the next generation of intelligent automation. You’ll work closely with robotics, software, and platform teams to design models that learn, adapt, and operate in real-world environments. Responsibilities: Design and develop AI models for perception, decision-making, and adaptive workflows Work on CV, NLP, and structured data pipelines powering our core platforms Deploy and scale models across edge devices and central orchestrators Contribute to dataset development, labeling, augmentation, and feedback loops Collaborate across teams to align ML logic with software and hardware stacks Requirements: 3+ years in a senior AI/ML engineering role Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, etc.) Experience deploying models in production (cloud or edge) Solid understanding of model evaluation, data preprocessing, and real-world application tuning (Bonus) Experience with robotics, IoT devices, or embedded ML Job Type: Full-time Pay: ₹653,185.73 - ₹2,187,589.66 per year Schedule: Day shift Experience: AI: 4 years (Required) Location: Jubilee Hills, Hyderabad, Telangana (Required) Work Location: In person Expected Start Date: 15/07/2025

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Job Profile – Lead Data Engineer Does working with data on a day to day basis excite you? Are you interested in building robust data architecture to identify data patterns and optimise data consumption for our customers, who will forecast and predict what actions to undertake based on data? If this is what excites you, then you’ll love working in our intelligent automation team. Schneider AI Hub is leading the AI transformation of Schneider Electric by building AI-powered solutions. We are looking for a savvy Data Engineer to join our growing team of AI and machine learning experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software engineers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Responsibilities Create and maintain optimal data pipeline architecture; assemble large, complex data sets that meet functional / non-functional requirements. Design the right schema to support the functional requirement and consumption patter. Design and build production data pipelines from ingestion to consumption. Create necessary preprocessing and postprocessing for various forms of data for training/ retraining and inference ingestions as required. Create data visualization and business intelligence tools for stakeholders and data scientists for necessary business/ solution insights. Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, etc. Ensure our data is separated and secure across national boundaries through multiple data centers Requirements and Skills You should have a bachelors or master’s degree in computer science, Information Technology or other quantitative fields You should have at least 8 years working as a data engineer in supporting large data transformation initiatives related to machine learning, with experience in building and optimizing pipelines and data sets Strong analytic skills related to working with unstructured datasets. Experience with Azure cloud services, ADF, ADLS, HDInsight, Data Bricks, App Insights etc Experience in handling ETL’s using Spark. Experience with object-oriented/object function scripting languages: Python, Pyspark, etc. Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. You should be a good team player and committed for the success of team and overall project. About Us Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Great people make Schneider Electric a great company. We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We’re looking for people with a passion for success — on the job and beyond. Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

Kenvue is currently recruiting for a: Lead Product Owner What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Principal Solutions Architect Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do Lead Product Owner, Data Products This position reports into Principal Solutions Architect, Global Data Products and is based in GCC, Bengaluru. Who We Are At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. What You Will Do As a Lead Product Owner, you will be responsible for leading the development and deployment of data-driven products powered by digital, artificial intelligence and analytics technologies. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders to define product vision, strategy, and execution. Responsibilities: Product Vision and Strategy: Collaborate with stakeholders to define the product vision, goals, and roadmap for Digital, Data and AI products that align with business objectives. Requirements Gathering: Work closely with business units to understand their needs and translate them into clear and actionable product requirements. Data Management: Oversee data collection, storage, and preprocessing to ensure data quality and availability for training and model deployment. Machine Learning Models: Coordinate with data scientists and ML engineers to design, develop, and deploy machine learning models that power AI data products. Product Development: Lead the end-to-end product development process, including design, development, testing, and deployment of AI data products. Performance Monitoring: Establish metrics and tracking mechanisms to measure the performance and impact of AI data products. Product Iteration and Improvement: Continuously iterate and improve data products based on user feedback and performance insights. Market Analysis: Conduct market research and competitive analysis to identify opportunities and stay abreast of industry trends. What We Are Looking For Required Qualifications Typically requires a minimum of 8 years of related experiences with a Bachelor's degree; or 5 years and a Master degree in Business or Information management systems (MIS); or a PhD with 5 years of experiences in the field of Technology, Computer/Software Engineering, Data Science, Applied Mathematics, Statistics etc. 3+ years of experience working in CPG/Retail industry and sound knowledge in business/data domains related to Customer, Product, Consumer, Finance etc. Proven experience in product management, preferably with a focus on data-driven products and AI technologies. Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards. Familiarity with machine learning concepts, algorithms, and model deployment. Strong project management skills and the ability to lead cross-functional teams. Proficiency in data analysis, visualization, and data-driven decision-making and proficiency in writing SQL Queries. Excellent communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders. Understanding of data privacy and security considerations in AI product development. Experience with Agile development methodologies is a plus. Experience working in Data Governance, Metadata Management, Data Catalog and Business Glossary. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Lead Product Owner, Data Products This position reports into Principal Solutions Architect, Global Data Products and is based in GCC, Bengaluru. Who We Are At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. What You Will Do As a Lead Product Owner, you will be responsible for leading the development and deployment of data-driven products powered by digital, artificial intelligence and analytics technologies. You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders to define product vision, strategy, and execution. Responsibilities: Product Vision and Strategy: Collaborate with stakeholders to define the product vision, goals, and roadmap for Digital, Data and AI products that align with business objectives. Requirements Gathering: Work closely with business units to understand their needs and translate them into clear and actionable product requirements. Data Management: Oversee data collection, storage, and preprocessing to ensure data quality and availability for training and model deployment. Machine Learning Models: Coordinate with data scientists and ML engineers to design, develop, and deploy machine learning models that power AI data products. Product Development: Lead the end-to-end product development process, including design, development, testing, and deployment of AI data products. Performance Monitoring: Establish metrics and tracking mechanisms to measure the performance and impact of AI data products. Product Iteration and Improvement: Continuously iterate and improve data products based on user feedback and performance insights. Market Analysis: Conduct market research and competitive analysis to identify opportunities and stay abreast of industry trends. What We Are Looking For Required Qualifications Typically requires a minimum of 8 years of related experiences with a Bachelor's degree; or 5 years and a Master degree in Business or Information management systems (MIS); or a PhD with 5 years of experiences in the field of Technology, Computer/Software Engineering, Data Science, Applied Mathematics, Statistics etc. 3+ years of experience working in CPG/Retail industry and sound knowledge in business/data domains related to Customer, Product, Consumer, Finance etc. Proven experience in product management, preferably with a focus on data-driven products and AI technologies. Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards. Familiarity with machine learning concepts, algorithms, and model deployment. Strong project management skills and the ability to lead cross-functional teams. Proficiency in data analysis, visualization, and data-driven decision-making and proficiency in writing SQL Queries. Excellent communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders. Understanding of data privacy and security considerations in AI product development. Experience with Agile development methodologies is a plus. Experience working in Data Governance, Metadata Management, Data Catalog and Business Glossary. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.