2068 Inference Jobs - Page 22

Job Requirements Role: Python Developer Department/Function: Infromation Technology Job Purpose We are looking for a highly skilled Python Developer with solid experience in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. The ideal candidate will have hands-on experience working with GPT-4, transformer models, and deep learning frameworks, and a strong understanding of model fine-tuning, deployment, and inference. Roles And Responsibilities Design, develop, and maintain Python applications focused on AI/ML and generative AI. Build and fine-tune transformer-based models (e.g., GPT, BERT, T5) for various NLP and generative tasks. Work with large-scale datasets for training and evaluation. Implement model inference pipelines and scalable APIs using FastAPI, Flask, or similar. Collaborate with data scientists and ML engineers to build end-to-end AI solutions. Stay current with recent research and developments in the field of generative AI and ML. Technical Responsibilities Strong proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.) 3–7+ years of experience in AI/ML development. Hands-on experience with transformer-based models, especially GPT-4, LLMs, or diffusion models. Familiarity with Hugging Face Transformers, OpenAI API, or similar frameworks. Experience with TensorFlow, PyTorch, or JAX. Experience deploying models using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Strong problem-solving and algorithmic thinking. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) is a plus. Added Advantage Contributions to open-source AI/ML projects. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience building AI chatbots, copilots, or creative content generators. Knowledge of MLOps and model monitoring Educational Qualifications Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Ever wondered how it would be to revolutionise one of the least digitised industries in the market, alongside a growing and switched-on team? Read on! ___________________________________________________________________________________ We are Shape.Construction ! We are digitising the largest and most fundamental industry in the world, the industry that literally builds the foundations of the civilisation we all depend on to spare us from a brutal hunter-gatherer life: CONSTRUCTION It is one of the least digitised industries in the world but also the largest – 1 in 9 people globally work in the construction industry and it constitutes 11% of global GDP. Improving construction strengthens the very foundation of human civilisation. ( Watch our short film about it). We got our start as a high-end construction project management consultancy. As a consultancy, we are focused on genuinely upgrading the way construction projects are delivered. We then take the deep understanding of the projects we work on to develop construction management software products that anyone can use to deliver their projects better. We are building a full suite of products one module at a time – kind of like office 365 but for construction management. ( Check out Shape, our construction management tech and watch this video about what we are doing ) The core of all this is our true secret sauce; people. We only recruit the very best both in capability and personality. We are deeply focused on designing a new type of organisation that is optimised for the flourishing of the people in the team first and foremost. People that join us develop fast as a whole person in ways they never imagined. ( Read more about our vision and mission ). This approach has allowed us to grow from just 2 people in 2017 to over 200 today (including consultancy) and we are still very much at the beginning! Joining us isn’t just some “job”, it is a transformative educational experience. We challenge you to be your best self in all aspects of life. Our vision is designed to align how we operate with the fundamental aspects that enable anyone to have a fulfilled life: Connects us with meaningful relationships Inspires us to develop ourselves to become better humans Empowers us to pursue our own learning adventures 4 core values for a good life We believe a life of human flourishing is all about meaningful relationships with others and challenging yourself to create a positive impact. Our four core values are grow yourself, care about people, execute to greatness and build civilisation. This philosophy goes much deeper and you can see more on our website. We are achieving this vision through the following two missions: To fully digitise the construction of human civilisation To create a new type of organisation that enables human flourishing while delivering a huge positive impact on society Laminar Projects is proud to be recognized as one of the UK’s Best Workplaces in Construction, Engineering & Property™ for 2024! Join a team where learning, collaboration, and growth are at the core of everything we do, and where solving big challenges is part of the fun. ___________________________________________________________________________________ The Role Purpose of the role We are looking for an AI Engineer who combines deep knowledge of Large Language Models (LLMs) with strong software engineering skills and a pragmatic approach to product development. This person will help us design, build and deploy AI-powered features across Shape App and Channels, working closely with the Product and SRE Teams to define optimal solutions and ensure they run reliably in production. You should be excited by the challenge of turning AI potential into real, useful features, for construction teams, and you should know when a small, lean approach is better than a large, complex one. Team You will join a team of product-minded software engineers, designers, and strategists focused on improving the way construction projects are delivered. You will work closely with Product Managers to shape AI features, and with our SRE Team to ensure production-readiness. You will be the go-to expert on AI/LLMs and play a key role in shaping our AI capability. Your top 3 objectives Design Lean, Fit-for-Purpose AI Solutions: Choose and implement the most appropriate AI/LLM approach for each use case, balancing quality, performance and cost. Integrate AI-features into our Applications: From exploration and prototyping to production deployment and iteration, using prompt engineering, model selection, fine-tuning, and evaluation. Prepare for Production: Work with SREs to ensure AI features are reliable, scalable, observable, and secure in production. Your Top 5 Responsibilities Understand the Product Context: Work with product teams to translate user needs into clear AI opportunities and technical requirements. Own the AI Feature Lifecycle: From exploration and prototyping to production deployment and iteration, using prompt engineering, model selection, fine-tuning and evaluation. Build AI-Backed Features: Contribute production-grade code that integrates AI capabilities into our apps, working alongside other engineers. Guide Production Set-Up: Collaborate with SREs to define what infrastructure, observability, and scaling is required for each AI feature. Stay Pragmatic and Up-to-Date: Continuously explore new development in LLMs and generative AI but always apply them with a product-first mindset. Your Capabilities You are a software engineer who understands how to use LLMs effectively, not just how to train them. You work well with ambiguity and know how to test your ideas quickly. You're comfortable collaborating with product teams and setting up production-grade systems. As a candidate, you should have: Strong experience in applying LLMs and generative AI to real-world problems. Solid foundation in Phyton and ML frameworks (e.g. LangChain, Transformers, OpenAI APIs, etc.). Experience with multi-model evaluation and feedback loops. Production experience with embeddings, vector dabatases (like Pinecone, Weaviate or FAISS), and retrieval-augmented generation (RAG) architectures. Familiarity with MLOps tooling and observability for inference pipelines. A bias for simplicity, clarity, and iterative delivery. The ability to communicate clearly with engineers, designers and non-technical stakeholders. Nice to Have (If you don’t have it now you will after joining) Familiarity with production environments, APIs, and containerised systems (Docker, Kubernetes). Participation in AI communities, papers or OSS projects. Shape isn’t the place for you if any of the following is true: You want an easy, chilled-out role without much challenge You like to be the smartest person in the room You don’t like continuously receiving honest candid feedback You prefer to do your own thing rather than work with a team At Shape we value diverse experiences and perspectives, empowering each member to contribute their unique expertise towards our collective success, so if you don't think you meet all the criteria but still are excited about this role we encourage you to apply anyways! ___________________________________________________________________________________ Salary And Benefits Standard Stuff Competitive salary dependent on location and capability Paid Annual Leave (Number of days will depend on where you are based) + statutory Bank Holidays In-House Coaching Sessions Discretionary bonus scheme for all team members. The Life-Changing Stuff 4 Day Weeks : That’s right, 4 day weeks Flexibility: Getting things done is what really matters, not what time of day you do it. That means you don’t have to ask permission for things like picking up your kids or going to the doctor, just keep your team in the loop if you think they will be affected. Grow your whole self: Our leaders are more like coaches and one of our main objectives is to give 5 years’ worth of learning and development for every 1 year with us. You have a coach, mentor, well-being therapist and a development-orientated environment: That’s literally what our vision is all about and the primary reason Shape exists Be surrounded by the best: We only hire and retain the very best people. You might be used to being the smartest in the room but that won’t be the case in Shape. You will be surrounded by people you can learn from. We are 100% meritocratic so fast progression is the norm. You will be supported to excel in whichever areas you are most interested in! With Shape, development is unbounded Long-term impact: We are focused on solving the biggest issues in construction project delivery in a way that can spread and outlast us ________________________________________________________________________________________ Application We get thousands of applications so please write us a letter as part of your application explaining: Why do you want to join us? If you joined, where do you think you could make the most impact and how? We aren't a giant faceless corporation; we really care about the people who want to join our team so all applications will be read thoroughly by our key leaders. In terms of application, we usually start with an intro call to tell you what we are all about in a casual conversation. That helps you to know us a bit better and tell us a bit about yourself.

Job Requirements Design and Development: Design and implement AI/ML-based applications tailored for embedded and edge hardware. Develop end-to-end pipelines for model training, conversion, and deployment. Customize neural network architectures for edge-specific applications such as object detection, classification, and segmentation. Model Optimization and Deployment: Port and optimize AI models to meet performance and memory constraints on edge platforms. Apply quantization (e.g., INT8), pruning, and layer fusion techniques to improve model efficiency. Convert models between various formats such as ONNX, TensorRT, TVM, TFLite, and DRP-AI. Performance Tuning and Profiling: Analyze model bottlenecks and tune for latency, throughput, and power efficiency. Run inference performance profiling on hardware targets and iterate for improvements. Testing and Debugging: Validate model accuracy and performance post-optimization. Debug and troubleshoot model behavior discrepancies across frameworks and devices. Documentation and Research: Maintain documentation for all model lifecycle stages and optimization steps. Stay updated with latest AI compiler advancements and deployment trends in edge AI. Work Experience Must Have : Bachelor's/Master’s degree in Computer Science, Electronics, or AI-related field. 6+ years in AI/ML model development with experience in real-world applications. Proficient in Python, C++ and deep learning libraries (TensorFlow, PyTorch, Keras). Solid understanding of CNNs, FCNs, and their applications in computer vision. Practical knowledge of model optimization workflows (quantization, pruning, etc.). Experience with ONNX, TVM, TensorRT, DRP-AI, TFLite, OpenCV, etc. Experience with deployment on edge devices like Jetson, RZ/V2H, or STM32. Strong understanding of constraints (compute, memory, power) in edge environments. Good to Have: Exposure to embedded Linux or RTOS environments. Familiarity with low-level model debugging, calibration tools, and inference engines. Experience with Continuous Integration tools such as Git, Jenkins, or similar. Understanding of hardware accelerators (GPU, NPU, DRP-AI, etc.).

Job Requirements We are seeking an experienced AI Developer to join our team and contribute to the development of cutting-edge solutions for defect detection in automotive manufacturing. The role involves leveraging AI technologies to inspect and identify defects in cars using image-based analysis. Key Responsibilities: AI Model Development: Design, develop, and optimize deep learning models for defect detection using image data. Implement segmentation techniques to localize small defect areas in addition to classification and detection. Data Preparation and Augmentation: Utilize online augmentation techniques to enhance limited datasets. Work with simulated data to demonstrate proof-of-concept for industrial defect detection. Edge AI Deployment: Deploy AI models on edge devices using Intel Architecture, ensuring compatibility with existing hardware. Optimize inference performance using tools. Performance Optimization: Achieve real-time processing with low latency Ensure high accuracy in defect detection of 1mm size Collaboration and Testing: Collaborate with domain experts to fine-tune model thresholds for minimizing overkill and underkill. Test AI solutions on SEM/Optical inspection images to validate performance. Work Experience Proficiency in Python and experience with AI Models like Yolo. Strong knowledge of deep learning architectures. Experience with Edge AI deployment. Familiarity with industrial defect datasets and augmentation techniques. Excellent problem-solving skills and ability to optimize AI models for real-time applications.

We are seeking a highly skilled AI Developer with strong expertise in computer vision and real-time video analytics . The ideal candidate should have hands-on experience working with edge computing platforms , especially NVIDIA Jetson Nano/Orin/AGX , and should have built or contributed to production-level video analytics solutions. This role is perfect for someone who thrives in a fast-paced, innovation-driven environment and wants to contribute to cutting-edge real-time AI systems deployed in the real world. Key Responsibilities: Develop and optimize computer vision models for real-time video analytics . Work with edge devices like Jetson Nano/Orin/AGX Xavier for deployment of AI models. Implement and fine-tune object detection, tracking, face recognition, people counting, and other CV-based tasks. Integrate Deep Learning models with camera streams , ensuring low latency and high accuracy. Work with tools like DeepStream, TensorRT, OpenCV, YOLO, SSD, or custom CNNs . Collaborate with backend and edge platform engineers to build scalable and efficient systems. Monitor and optimize the performance of deployed AI models in real-time environments. Required Skills & Experience: 2+ years of experience in Computer Vision and AI-based video analytics . Proven experience with NVIDIA Jetson family (Nano, Orin, AGX) . Strong Python programming skills; familiarity with C++ is a plus. Experience with deep learning frameworks such as TensorFlow, PyTorch, ONNX . Familiar with model optimization and inference tools like TensorRT, DeepStream SDK . Good understanding of edge computing constraints and optimization techniques. Solid knowledge of object detection, tracking, and image processing techniques. Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Fixed shift Work Location: In person

About the Role As an AI Architect at Innovaccer, you will be at the forefront of designing, training, and fine-tuning foundational models with healthcare-specific data. You will be critical in integrating these technologies into our healthcare products, ensuring they operate effectively in a production environment. Your expertise will help us to revolutionize healthcare delivery, improve patient outcomes, and maintain compliance with industry regulations. A Day in the Life Fine-tuning state-of-the-art small language models (SLMs) like Llama-3.1-8B or Phi-3.5-3B on diverse healthcare datasets. Evaluating and optimizing various inference and serving frameworks (e.g., Triton, TensorRT, VLLM, TGI). Read about the most recent AI model architectures. Collaborating with product teams to review and refine architecture designs incorporating AI. Troubleshooting AI deployment issues in customer environments, ensuring smooth operation and optimal performance. Authoring and presenting technical documentation and white papers and showcasing breakthroughs in internal and external forums. Key Responsibilities: Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-specific datasets, focusing on accuracy and clinical relevance. Collaborate with cross-functional teams (product, engineering, clinical) to seamlessly integrate AI/ML technologies into our product offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and healthcare industry trends to drive innovation within Innovaccer. Create high-quality intellectual property (white papers, case studies, conference presentations) showcasing Innovaccer's technical leadership. Ensure all AI solutions adhere to healthcare standards and regulatory requirements (HIPAA, GDPR, etc.). Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand clinical needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific healthcare use cases. Requirements Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Minimum of 7 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Proven experience in healthcare AI applications, including a solid understanding of healthcare data standards (FHIR, HL7) and regulatory compliance (HIPAA, SOC2, NIST). Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. A strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, KDD, CVPR, AAMAS, etc.) is highly desirable. Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Benefits We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance: Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer : Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

Job Title: VP-Digital Expert Support Lead Experience : 12 + Years Location : Pune Position Overview The Digital Expert Support Lead is a senior-level leadership role responsible for ensuring the resilience, scalability, and enterprise-grade supportability of AI-powered expert systems deployed across key domains like Wholesale Banking, Customer Onboarding, Payments, and Cash Management . This role requires technical depth, process rigor, stakeholder fluency , and the ability to lead cross-functional squads that ensure seamless operational performance of GenAI and digital expert agents in production environments. The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Role-Level Expectations Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level , enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads , AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering , ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening . Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Position Responsibilities Operational Leadership & Stability Engineering Own the production health and lifecycle support of all digital expert systems across onboarding, payments, and cash management. Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Engineering Collaboration & Enhancements Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Governance, Planning & People Leadership Build and mentor a high-caliber AI Support Squad – support engineers, SREs, and automation leads. Define and publish support KPIs , operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. Must-Have Skills & Experience 12+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems . Strong experience with cloud-native platforms (Azure/AWS), Kubernetes , and containerized observability . Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics , prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems . Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline . Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities. Nice-to-Haves Exposure to enterprise AI platforms like OpenAI, Azure OpenAI, Anthropic, or Cohere. Experience supporting multi-tenant AI applications with business-driven SLAs. Hands-on experience integrating with compliance and risk monitoring platforms. Familiarity with automated root cause inference or anomaly detection tooling. Past participation in enterprise architecture councils or platform reliability forums

Job Title: Artificial Intelligence Engineer Location: Noida (In-Office) Employment Type: Full-time, Permanent Job ID: AI-007 About Us We are a cybersecurity product company building next-generation platforms for threat detection, malware sandboxing, SIEM, and real-time telemetry analytics. As we scale the intelligence layer across our ecosystem, we are looking for an AI Developer to lead the design, development, and integration of AI-driven services into our products. Key Responsibilities Design and develop AI/ML-based services for cybersecurity applications such as threat detection, malware classification, behavior analysis, log correlation, and anomaly detection. Seamlessly integrate AI solutions into existing platforms including our sandbox system, SIEM, and T-Sense telemetry engine. Build, deploy, and maintain AI microservices/APIs using tools like FastAPI or Flask for scalable inference and automation. Fine-tune or train models using real-world security datasets; optimize performance for production environments. Leverage LLMs, vector search , or prompt-engineered workflows where applicable to enhance product capabilities. Collaborate closely with product managers, backend developers, and security researchers to map real use-cases into applied AI features. Stay current with advancements in AI/ML, especially in the context of security and adversarial defense. Required Skills Proficiency in Python and core AI/ML libraries: TensorFlow, PyTorch, scikit-learn, HuggingFace, etc. Experience building, training, and serving machine learning models in production . Solid understanding of cybersecurity concepts , logs, behavioral analysis, or threat classification. Hands-on experience with LLM APIs , embeddings, and integration of vector databases (e.g., FAISS, Weaviate, Pinecone). Ability to build AI solutions with Docker, REST APIs , and deploy in real-time environments. Comfortable converting AI prototypes into modular, testable, and scalable backend services. Nice-to-Have Past experience developing custom AI models for niche or production use-cases. Familiarity with SIEM platforms, malware datasets , log pipelines, or SOC workflows. Experience with MLOps tools like MLflow, DVC, or Kubeflow. Open-source contributions or public AI/security projects are a big plus. Preferred Experience 2+ years in applied AI/ML development, preferably with exposure to cybersecurity products. Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field. Portfolio, GitHub, or case studies demonstrating applied AI projects or systems. Why Join Us Work on cutting-edge AI systems in a cybersecurity-first environment. Opportunity to influence and own AI components across multiple products. Solve complex, real-world threats using AI at scale. In-office collaboration with a focused product-engineering team based in Noida. Competitive salary, learning budget, product ownership, and growth opportunities. How to Apply Fill in the form for applying: https://forms.gle/yFSoycUj46SDFjuq8

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role The AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models. You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization. As an early member of the team, you can help us shape the direction and strategy to fulfill this important charter. The Person This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models. We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models. Key Responsibilities Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs. Improve upon the state-of-the-art in Generative AI model architectures, data and training techniques. Accelerate the training and inference speed across AMD accelerators. Build agentic frameworks to solve various kinds of problems Publish your research at top-tier conferences, workshops and/or through technical blogs. Engage with academia and open-source ML communities. Drive continuous improvement of infrastructure and development ecosystem. Preferred Experience Strong development and debugging skills in Python. Experience in deep learning frameworks (like PyTorch or TensorFlow) and distributed training tools (like DeepSpeed or Pytorch Distributed). Experience with fine-tuning methods (like RLHF & DPO) as well as parameter efficient techniques (like LoRA & DoRA). Solid understanding of various types of transformers and state space models. Strong publication record in top-tier conferences, workshops or journals. Solid communication and problem-solving skills. Passionate about learning new stuffs in this domain as well as innovating on top of it Academic Credentials Advanced degree (Master’s or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor’s degree candidates may also be considered. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Job Title: Data Scientist – Agentic AI | Cloud AI | AR/VR Location: Gurgaon- 5 days WFO Experience: 2 to 5 Years Employment Type: Full-time ⸻ About the Role We’re looking for a hands-on Data Scientist who’s excited by the next frontier of AI — from Agentic AI systems and multi-agent collaboration to cloud-based AI services and immersive experiences in AR/VR. This is your chance to work on cutting-edge innovation across verticals such as retail, healthcare, gaming, and enterprise tech. ⸻ Key Responsibilities • Build, deploy, and optimize AI/ML models with a focus on Agentic AI and multi-agent coordination frameworks (e.g., AutoGen, LangChain, etc.) • Leverage Google Cloud AI and Azure AI Services (Vision AI, Vertex AI, Azure ML) for scalable training, inference, and deployment • Apply Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts • Collaborate cross-functionally with product, engineering, and design teams to bring AI-driven AR/VR applications to life • Utilize Multi-Cloud Pipelines (MCP) for managing end-to-end workflows in a hybrid cloud setup • Continuously experiment with emerging AI techniques in the realm of generative agents, prompt engineering, and memory-based systems ⸻ Must-Have Skills • 2–5 years of hands-on experience in AI/ML model development and deployment • Strong Python skills with experience in frameworks like TensorFlow, PyTorch, or OpenCV

Software Engineer – Generative AI Location: Bengaluru Experience: 1-3 Years About Pocket FM: At Pocket FM , we’re reimagining storytelling through the power of audio. With millions of users across the globe, we’re on a mission to build the world’s largest audio OTT platform. As we scale, Generative AI is playing a central role in how we create, personalize, and distribute content at scale. Join us to be part of a fast-paced, ambitious team building the future of audio entertainment. What You’ll Do: Build production-grade systems that integrate LLMs and multimodal GenAI models into Pocket FM’s content workflows. Collaborate with Product, Data, and ML teams to design systems for AI-powered storytelling, character generation, voice synthesis, and more. Optimize performance and inference of large-scale GenAI models across cloud and on-device environments. Build and expose GenAI capabilities as reusable services and APIs for other product teams to consume. Continuously explore new models and frameworks (like GPT, TTS models, Whisper, Stable Diffusion, etc.) to keep Pocket FM ahead in the GenAI game. Contribute to the experimentation stack for prompt engineering, RAG pipelines, fine-tuning , and evaluation. What We’re Looking For: 1–3 years of experience in backend/software development (Python, Go, or similar). Hands-on experience working with LLMs or GenAI frameworks like OpenAI, HuggingFace, LangChain, or LlamaIndex. Solid understanding of cloud infra (AWS/GCP), containerization (Docker/K8s), and scalable service design. Experience working with ML engineers or deploying ML models into production. Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval pipelines. Passion for building tools that push the boundaries of creative expression. Nice to Have: Exposure to text-to-speech , voice cloning , or audio generation models. Contributions to open-source GenAI or ML ops tools. Prior experience in media, entertainment, or content-tech companies. Enthusiastic about storytelling, audio platforms, and immersive content experiences.

Title : Senior AI Developer Years of Experience : 8+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial three-month project training and execution period. After the three months , the candidate will be offered remote opportunities.* Job Description The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explainability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus Job Types: Full-time, Permanent Work Location: Hybrid remote in Chennai, Tamil Nadu Expected Start Date: 14/07/2025

Job Title: AI/ML Engineer (Python + AWS + REST APIs) Department: Web Location: Indore Job Type: Full-time Experience: 3-5 years Notice Period: 0-15 days (immediate joiners preferred) Work Arrangement: On-site (Work from Office) Overview: Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs. Key Responsibilities: AI/ML Development Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees. Build synthetic datasets using DCGANs for balancing. Fine-tune pre-trained models for customized encryption logic. Implement explainable classification logic for model outputs. Validate model performance using custom metrics and datasets. API Development Design and develop Python RESTful APIs using FastAPI or Flask for: Image upload and classification Model inference endpoints Encryption trigger calls Integrate APIs with AWS Lambda and Amazon API Gateway. AWS Integration Deploy and manage AI models on Amazon SageMaker for training and real-time inference. Use AWS Lambda for serverless backend compute. Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL). Use AWS Cognito for secure user authentication and KMS for key management. Monitor job status via CloudWatch and enable secure, scalable API access. Required Skills & Experience: Must-Have 3–5 years of experience in AI/ML (especially vision-based systems). Strong experience with PyTorch or TensorFlow for model development. Proficient in Python with experience building RESTful APIs. Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3. Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts. Understanding of model deployment, serialization, and performance tuning. Nice-to-Have Experience with CLIP model fine-tuning. Familiarity with Docker, GitHub Actions, or CI/CD pipelines. Experience in data classification under compliance regimes (e.g., GDPR, HIPAA). Familiarity with multi-tenant SaaS design patterns. Tools & Technologies: Python, PyTorch, TensorFlow FastAPI, Flask AWS: SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS Git, Docker, Postgres, OpenCV, OpenSSL If interested, please share resume to kratika.vijaywargiya@advantal.net

Job Summary We are seeking a forward-thinking AI Architect to design, lead, and scale enterprise-grade AI systems and solutions across domains. This role demands deep expertise in machine learning, generative AI, data engineering, cloud-native architecture, and orchestration frameworks. You will collaborate with cross-functional teams to translate business requirements into intelligent, production-ready AI solutions. Key Responsibilities Architecture & Strategy : Design end-to-end AI architectures that include data pipelines, model development, MLOps, and inference serving. Create scalable, reusable, and modular AI components for different use cases (vision, NLP, time series, etc.). Drive architecture decisions across AI solutions, including multi-modal models, LLMs, and agentic workflows. Ensure interoperability of AI systems across cloud (AWS/GCP/Azure), edge, and hybrid environments. Technical Leadership Guide teams in selecting appropriate models (traditional ML, deep learning, transformers, etc.) and technologies. Lead architectural reviews and ensure compliance with security, performance, and governance policies. Mentor engineering and data science teams in best practices for AI/ML, GenAI, and MLOps. Model Lifecycle & Engineering Oversee implementation of model lifecycle using CI/CD for ML (MLOps) and/or LLMOps workflows. Define architecture for Retrieval Augmented Generation (RAG), vector databases, embeddings, prompt engineering, etc. Design pipelines for fine-tuning, evaluation, monitoring, and retraining of models. Data & Infrastructure Collaborate with data engineers to ensure data quality, feature pipelines, and scalable data stores. Architect systems for synthetic data generation, augmentation, and real-time streaming inputs. Define solutions leveraging data lakes, data warehouses, and graph databases. Client Engagement / Product Integration Interface with business/product stakeholders to align AI strategy with KPIs. Collaborate with DevOps teams to integrate models into products via APIs/microservices. Required Skills & Experience Core Skills : Strong foundation in AI/ML/DL (Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, etc.) Advanced knowledge of Generative AI (LLMs, diffusion models, multimodal models, etc.) Proficiency in cloud-native architectures (AWS/GCP/Azure) and containerization (Docker, Kubernetes) Experience with orchestration frameworks (Airflow, Ray, LangGraph, or similar) Familiarity with vector databases (Weaviate, Pinecone, FAISS), LLMOps platforms, and RAG design Architecture & Programming Solid experience in architectural patterns (microservices, event-driven, serverless) Proficient in Python and optionally Java/Go Knowledge of APIs (REST, GraphQL), streaming (Kafka), and observability tooling (Prometheus, ELK, Grafana) Tools & Platforms ML lifecycle tools: MLflow, Kubeflow, Vertex AI, Sagemaker, Hugging Face, etc. Prompt orchestration tools: LangChain, CrewAI, Semantic Kernel, DSPy (nice to have) Knowledge of security, privacy, and compliance (GDPR, SOC2, HIPAA, etc.) (ref:hirist.tech)

What You'll Work On Develop state-of-the-art time series models for anomaly detection and forecasting in observability data. Design a root cause analysis system using LLMs, causal analysis, machine learning and anomaly detection algorithms. Develop Large Language Models for time series analysis Create highly scalable ML pipelines for real-time monitoring and alerting. Build and maintain ML Ops workflows for model deployment, evaluation, monitoring, and updates. Build frameworks to evaluate AI agents. Handle large datasets using Python and its ML ecosystem (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, Statsmodels). Use Bayesian methods, Granger causality, counterfactual analysis, and other techniques to derive meaningful system insights. Collaborate with other teams to deploy ML-driven observability solutions in production. What We're Looking For 5+ years of hands-on experience in Machine Learning, Time Series Analysis, and Causal Analytics. Bachelors degree in Computer Science, Mathematics or Statistics. Masters or PhD is a plus Strong proficiency in Python and libraries like Scikit-Learn, TensorFlow, PyTorch, Statsmodels, Prophet, or similar. Deep understanding of time-series modeling, forecasting, and anomaly detection techniques. Expertise in causal inference, Bayesian statistics, and causal graph modeling. Experience in ML Ops, model evaluation, and deployment in production environments. Working knowledge of databases and data processing frameworks (SQL, Spark, Dask, etc.). Experience in observability, monitoring, or AI-driven system diagnostics is a big plus. Background in AI Agent evaluation and optimization is a plus. Working with LLMs, fine-tuning LLMs, LLM Ops, LLM Agents is a big plus Our Values Loyalty & Long-term Commitment - We invest in people who invest in us. Opinionated yet Open-Minded - We value strong perspectives but encourage constructive discussions. Passion - We seek individuals who are passionate about their craft. Humility & Integrity - Honest, transparent, and accountable team members are key. Adaptability & Self-Sufficiency - Ability to thrive in a fast-paced and evolving environment. Build Fast and Break Fast - We believe in rapid iteration and learning from failures. What You'll Work On You will be instrumental in building the next-generation Observability platform for automated Root Cause Analysis using LLMs, Machine Learning algorithms. You will be innovating on building LLMs for time series analysis. You'll have the opportunity to work with an experienced team, gain deep insights into how startups are built, and be at the forefront of disruptive innovation in Observability. Comp - upto 2Cr+ (ref:hirist.tech)

About The Role We're hiring a Staff Scientist for Uber's Direct, Connect, and Grocery Delivery team-three of the company's fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber's delivery platforms. You'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights-ensuring every decision is grounded in rigorous, data-driven thinking. We're looking for someone with deep analytical expertise and a strong business mindset -an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What You'll Do Serve as Science Tech Lead (IC) for a team based in India, supporting Uber's Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What You'll Need Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.

About The Role As an AI Architect at Innovaccer, you will be at the forefront of designing, training, and fine-tuning foundational models with healthcare-specific data. You will be critical in integrating these technologies into our healthcare products, ensuring they operate effectively in a production environment. Your expertise will help us to revolutionize healthcare delivery, improve patient outcomes, and maintain compliance with industry regulations. A Day in the Life Fine-tuning state-of-the-art small language models (SLMs) like Llama-3.1-8B or Phi-3.5-3B on diverse healthcare datasets Evaluating and optimizing various inference and serving frameworks (e.g., Triton, TensorRT, VLLM, TGI) Read about the most recent AI model architectures Collaborating with product teams to review and refine architecture designs incorporating AI Troubleshooting AI deployment issues in customer environments, ensuring smooth operation and optimal performance Authoring and presenting technical documentation and white papers and showcasing breakthroughs in internal and external forums Key Responsibilities: Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-specific datasets, focusing on accuracy and clinical relevance Collaborate with cross-functional teams (product, engineering, clinical) to seamlessly integrate AI/ML technologies into our product offerings Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance Continuously research and evaluate the latest advancements in AI/ML and healthcare industry trends to drive innovation within Innovaccer Create high-quality intellectual property (white papers, case studies, conference presentations) showcasing Innovaccer's technical leadership Ensure all AI solutions adhere to healthcare standards and regulatory requirements (HIPAA, GDPR, etc.) Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures Provide technical guidance and mentorship to junior AI engineers and team members Collaborate with stakeholders to understand clinical needs and translate them into technical requirements for model fine-tuning and development Select and curate appropriate datasets for fine-tuning foundational models to address specific healthcare use cases Requirements Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field Minimum of 7 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.) Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.) Proven experience in healthcare AI applications, including a solid understanding of healthcare data standards (FHIR, HL7) and regulatory compliance (HIPAA, SOC2, NIST) Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment A strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, KDD, CVPR, AAMAS, etc.) is highly desirable Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a plus Benefits We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days Parental Leave: Leverage one of industry's best parental leave policies to spend time with your new addition Sabbatical: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most Care Program: Whether it's a celebration or a time of need, we've got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need Financial Assistance: Life happens, and when it does, we're here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer : Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

About The Team Data is at the core of Outreach's strategy. It drives ourselves and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. As a member of the team, you will work closely with other data scientists, machine learning engineers, and application engineers to define and implement our strategy for delivering on this mission Your Daily Adventures Will Include Design, implement, and improve machine learning Systems. Contribute to machine learning applications end to end, i.e. from research to prototype to production. Work with product managers, designers, and customers to define vision and strategy for a given product. Our Vision Of You A hybrid data science engineer who can navigate both sides with little help from others You understand the typical lifecycle of machine learning product development, from inception to production. Experience in Gen AI application/agent development is a plus. You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in framework like Langchain, OpenAI Agent SDK is a plus. You have experience building microservices. Experience with Golang is a plus. You have substantial experience with building and managing infrastructure for deploying and running ML models in production You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus You have a knowledge in statistics and machine learning and have practical experience applying it to solve real-world problems. You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting. You go above and beyond to help your team You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products. You have an degree in Computer Science, Data Science, or a related field, and 4-6 years of industry or equivalent experience

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. What We're Looking For Required Skills Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm’s Audio Systems team is seeking a talented and highly motivated engineer specialized in the implementation of Voice AI and Audio solutions. You will work with a team to prototype, optimize, and productize state-of-the-art ML models, ensuring efficient deployment on snapdragon platforms Responsibilities: Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc.) for use in audio applications. Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. Contribute to the design and software implementation of audio ML models in embedded C/C++ and Python. Evaluate system performance, debug, and optimize for performance and robustness. Participate in industry trends, benchmarking and performance analysis of various Model architecture, and bring up-to-date architectural or technical innovations to the team. Requirements: Strong programming skills in C/C++, Python. Experience with audio processing and embedded solutions. Hands-on experience working with audio framework and audio solutions on any platform Familiarity with ML frameworks (PyTorch, TensorFlow, ONNX, etc.). Knowledge of model quantization and compression techniques, and experience optimizing inference and deployment on embedded hardware. Strong understanding of ML model architectures such as, CNNs, RNNs, Transformers, U-Nets, and statistical modeling techniques. Understanding of DSP or Microcontroller architectures and frameworks Experience developing and debugging software on embedded platforms; familiarity with software design patterns, multi-threaded programming (e.g., POSIX, PTHREADS), and fixed-point coding. Excellent verbal and written communication skills; ability to work independently and as a team player in geographically dispersed, multidisciplinary teams. Proven ability to work in a dynamic, multi-tasked environment — quick learner, self-motivated, and results-driven. Minimum Qualifications: Bachelor’s, Master’s or PhD in Computer Science, Electronics and Communication, Electrical Engineering, or a related field (or equivalent work experience). Preferred Qualifications: Experience working with Qualcomm AI HW accelerators (NPUs) and Qualcomm SDKs Knowledge of Qualcomm Audio framework, platforms and tools Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

DESCRIPTION We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Amazon.in Software Development

Job Description: We are looking for a highly skilled AI/ML Engineer who can design, implement, and optimize machine learning solutions, including traditional models, deep learning architectures, and generative AI systems. The ideal candidate will have strong hands-on experience with MLOps, data pipelines, and LLM optimization. You will collaborate with data engineers and cross-functional teams to develop scalable, ethical, and high-performance AI/ML solutions that drive business impact. Requirements: Key Responsibilities: Develop, implement, and optimize AI/ML models using both traditional machine learning and deep learning techniques. Design and deploy generative AI models for innovative business applications. Collaborate with data engineers to build and maintain high-quality data pipelines and preprocessing workflows. Integrate responsible AI practices to ensure ethical, explainable, and unbiased model behavior. Develop and maintain MLOps workflows to streamline training, deployment, monitoring, and continuous integration of ML models. Optimize large language models (LLMs) for efficient inference, memory usage, and performance. Work closely with product managers, data scientists, and engineering teams to integrate AI/ML into core business processes. Conduct rigorous testing, validation, and benchmarking of models to ensure accuracy, reliability, and robustness. Stay abreast of the latest research and advancements in AI/ML, LLMs, MLOps, and generative models. Required Skills & Qualifications: Strong foundation in machine learning, deep learning, and statistical modeling techniques. Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks. Proficient in Python and ML engineering tools such as MLflow, Kubeflow, or SageMaker. Experience deploying generative AI solutions, including text, image, or audio generation. Understanding of responsible AI concepts, including fairness, accountability, and transparency in model building. Solid experience with MLOps pipelines and continuous delivery of ML models. Proficiency in optimizing transformer models or LLMs for production workloads. Familiarity with cloud services (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes). Excellent problem-solving and communication skills. Ability to work collaboratively with cross-functional teams. Preferred Qualifications: Experience with data versioning tools like DVC or LakeFS. Exposure to vector databases and retrieval-augmented generation (RAG) pipelines. Knowledge of prompt engineering, fine-tuning, and quantization techniques for LLMs. Familiarity with Agile workflows and sprint-based delivery. Contributions to open-source AI/ML projects or published papers in conferences/journals. About Company / Benefits: Lucent Innovation is a company 8 years old, India's premier IT solutions provider company that offers web & web application development services to global clients. We are Shopify Expert and Shopify Plus Partner, have its office registered in India. Lucent Innovation has a highly skilled team of IT professionals. We ensure that our employees have a work-life balance. In order to achieve the same, We work 5 days working, no night shift and employees are encouraged to report to the office on time and leave on time. The company organizes several indoor/outdoor activities throughout the year. Besides these, the company organizes trips for employees. Celebrations are an integral part of our work culture. We celebrate all major festivals like Diwali, Holi, Lohri, Christmas day, Navratra (Dandia), Makar Sankranti etc. We also enjoy several other important occasions like New Year, Independence Day, Republic Day, Women's Day, Mother's day, etc. Perks: - 5days working Flexible working hours No hidden policy Friendly working Environment In-house training Quarterly and Yearly rewards & Appreciation

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Azure ML and Python Dev- Senior 1/2 EY GDS Consulting digital engineering, is seeking experienced Azure ML and Python Developer. Your responsibilities will include designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are key requirements for this role. The opportunity We are seeking a seasoned Azure ML and Python Developer with 6-8 years of experience to join our innovative team. This role presents an exciting opportunity for individuals with a strong background in machine learning and cloud computing to lead and contribute to cutting-edge projects on the Azure platform. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services. Design and implement scalable and efficient data pipelines for model training and inference. Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions. Implement best practices for ML development, including version control, testing, and documentation. Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications. Monitor and optimize model performance, ensuring scalability, reliability, and security. Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability. Stay updated with industry trends and best practices in machine learning, cloud computing, and API development. Mentor junior team members, sharing expertise and guiding them in technical challenges. Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions. Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization. Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities. Soft Skills Bachelor's degree in computer science, data science, or related field. 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services. Proficiency in Python programming language for ML model development and deployment. Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure. Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing. Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics. Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation. Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects. Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space. Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field. 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services. Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure. Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences. Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams. Certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, or equivalent, are highly desirable. Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus. Ideally, you’ll also have Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative. Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications. Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments. Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Title: AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 1- 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.