Overview Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay! With our company’s history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more. If you want to learn more about us visit us at www.panasonic.aero. And for a full listing of open job opportunities go to www.panasonic.aero/join-us/. The Position: We're seeking an experienced Machine Learning Engineer 4 to lead advanced AI initiatives in the In-Flight Entertainment & Connectivity (IFEC) domain. This role focuses on designing and scaling cutting-edge ML solutions that enhance personalization and efficiency in passenger experiences. You’ll drive innovation through GenAI, Retrieval-Augmented Generation (RAG), and scalable ML systems, while mentoring a high-performing team of engineers. Responsibilities Key Responsibilities: Technical Leadership: Lead the design and development of robust, scalable ML architectures tailored for IFEC applications. Own end-to-end system design, from data ingestion to real-time inference. ML & GenAI Development: Build, fine-tune, and deploy machine learning models, with a strong focus on Generative AI and RAG pipelines using frameworks like TensorFlow, PyTorch, and LangChain. Infrastructure & Deployment: Develop and manage cloud-native ML pipelines (AWS/GCP/Azure), CI/CD workflows, and containerized deployments using Docker/Kubernetes. Research & Innovation: Stay at the forefront of ML/GenAI advancements. Evaluate new technologies, publish white papers, and contribute to R&D initiatives. Collaboration & Mentorship: Work cross-functionally with data scientists, backend engineers, and product stakeholders. Mentor junior ML engineers to raise team capability. Performance Monitoring & Optimization: Continuously monitor, evaluate, and refine models to improve prediction accuracy, latency, and scalability. Requirements 8 -12 years of hands-on experience in ML engineering and software development, ideally in aerospace, telecom, or tech-driven industries. Proven expertise in Generative AI, RAG (Retrieval-Augmented Generation) systems, LLMs (e.g., GPT, LLaMA), and vector databases like FAISS, Pinecone, or Weaviate. Proficient in Python and Java, with in-depth knowledge of TensorFlow, PyTorch, and ML lifecycle tools (MLflow, Airflow). Strong knowledge of cloud services (AWS/GCP/Azure) and MLOps best practices. Solid understanding of data structures, algorithms, and distributed systems. Excellent problem-solving, leadership, and communication skills Qualifications Bachelor’s or Master’s degree in Computer Science , Machine Learning , Data Science , or a related technical field. Our Principles: Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude What We Offer: At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program. REQ-145482 Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Data Science Lead Requisition ID: 55339 City: Chennai Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Mandatory Skills Data Science, ML, DL, Python for Data Science, Tensorflow, Pytorch, Django, SQL, MLOps Preferred Skills NLP, Gen AI, LLM, PowerBI, Advanced Analytics, Banking exposure ͏ Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention. Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards Working knowledge ane experience in ML Ops is a must and engineering background is preferred Excellent command of data warehousing concepts and SQL Knowledge of personal banking products is a plus Mandatory Skills: AI Cognitive . Experience: 8-10 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: AI/ML Engineer - 5 to 10 yrs Requisition ID: 57885 City: Chennai Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Mandatory Skills Data Science, ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, PostgreSQL Preferred Skills Gen AI, LLM, RAG, Lanchain, Vector DB, Azure Cloud, MLOps, Banking exposure ͏ Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc ͏ Mandatory Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Strong Backend Python developer Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines. ͏ Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Generative AI . Experience: 8-10 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Overview Who We Are: Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, WiFi, and now Bluetooth headphone connectivity! How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay! With our company’s history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive! We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more. If you want to learn more about us visit us at www.panasonic.aero. And for a full listing of open job opportunities go to www.panasonic.aero/join-us/. The Position: We're seeking an experienced Machine Learning Engineer 4 to lead advanced AI initiatives in the In-Flight Entertainment & Connectivity (IFEC) domain. This role focuses on designing and scaling cutting-edge ML solutions that enhance personalization and efficiency in passenger experiences. You’ll drive innovation through GenAI, Retrieval-Augmented Generation (RAG), and scalable ML systems, while mentoring a high-performing team of engineers. Responsibilities Key Responsibilities: Technical Leadership: Lead the design and development of robust, scalable ML architectures tailored for IFEC applications. Own end-to-end system design, from data ingestion to real-time inference. ML & GenAI Development: Build, fine-tune, and deploy machine learning models, with a strong focus on Generative AI and RAG pipelines using frameworks like TensorFlow, PyTorch, and LangChain. Infrastructure & Deployment: Develop and manage cloud-native ML pipelines (AWS/GCP/Azure), CI/CD workflows, and containerized deployments using Docker/Kubernetes. Research & Innovation: Stay at the forefront of ML/GenAI advancements. Evaluate new technologies, publish white papers, and contribute to R&D initiatives. Collaboration & Mentorship: Work cross-functionally with data scientists, backend engineers, and product stakeholders. Mentor junior ML engineers to raise team capability. Performance Monitoring & Optimization: Continuously monitor, evaluate, and refine models to improve prediction accuracy, latency, and scalability. Requirements 8 -12 years of hands-on experience in ML engineering and software development, ideally in aerospace, telecom, or tech-driven industries. Proven expertise in Generative AI, RAG (Retrieval-Augmented Generation) systems, LLMs (e.g., GPT, LLaMA), and vector databases like FAISS, Pinecone, or Weaviate. Proficient in Python and Java, with in-depth knowledge of TensorFlow, PyTorch, and ML lifecycle tools (MLflow, Airflow). Strong knowledge of cloud services (AWS/GCP/Azure) and MLOps best practices. Solid understanding of data structures, algorithms, and distributed systems. Excellent problem-solving, leadership, and communication skills Qualifications Bachelor’s or Master’s degree in Computer Science , Machine Learning , Data Science , or a related technical field. Our Principles: Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude What We Offer: At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program. REQ-145482 Show more Show less

Senior Technical Architect – Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks. What We Offer Joining QX Global Group means becoming part of a creative team where you can personally grow and contribute to our collective goals. We offer competitive salaries, comprehensive benefits, and a supportive environment that values work-life balance. Work Model Location: Ahmedabad Model: WFO Shift Timings: 12:30PM-10PM IST / 1:30PM -11PM IST Show more Show less

Job Description Must Have Skills: Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG (Retrieval-Augmented Generation) workflows. Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities. Proficiency in developing AI chatbots using ODA (Oracle digital Assistance), Fusion APIs, OIC (Oracle integration cloud) and genAI services. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Analyzes problems, identifies solutions, and makes decisions. Demonstrates a willingness to learn, adapt, and grow professionally. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Understanding of the security and compliance requirements for ML/GenAI implementations. /IC3 Career Level - IC3 Responsibilities Be a leader, a ‘doer’, with a vision & desire to contribute to a business with a technical project focus and mentality that centers around a superior customer experience. Bring entrepreneurial & innovative flair, with the tenacity to develop and prove delivery ideas independently, then share these as examples to improve the efficiency of the delivery of these solutions across EMEA. Working effectively across internal, external and culturally diverse lines of business to define and deliver customer success. Proactive approach to the task and self-learner. Self-motivated, you have the natural drive to learn and pick up new challenges. Results orientation, you won’t be satisfied until the job is done with the right quality! Ability to work in (virtual) teams. To get a specific job done often requires working together with many colleagues spread out in different countries. Comfortable in a collaborative, agile environment. Ability to adapt to change with a positive mindset. Good communication skills, both oral and written! You are able to not only understand complex technologies but also to explain to others in clear and simple terms. You can articulate key messages very clearly. Being able to present in front of customers. https://www.oracle.com/in/cloud/cloud-lift/ About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

🚀 Job Title: Senior AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Senior AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-4 years of experience in building and deploying AI/ML systems, with at least 1-2 years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Senior AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job Description About Oracle and OHAI Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. About ODA Within the larger Oracle Health & AI organization, the Oracle Digital Assistant (ODA) is an Assistant platform that enables developers to create their own skills and digital assistants using the Conversational AI and Generative AI capabilities exposed to them in a low-code paradigm. The ODA team has been powering conversational AI experiences for all internal Oracle teams and several external customers for the past 7 years and is evolving rapidly to provide Generative AI solutions for the healthcare and enterprise domains. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership. About The Team We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications Masters degree preferred Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment 5+ Years of Experience Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Career Level - IC3 Responsibilities The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services Cloud Administration: administration of VMs and the cloud admin stuff including patching VMs, upgrading packages, working with endpoints, load balancing etc.; Production support of models managing incidents related to the models & data Setup CI/CD pipelines for the ML scientists and own the production pipeline around pushing things to prod; Setup and own MLOps environment around cloud Data quality checks & onboarding the data on to the cloud for modeling purposes Build extensible solutions around drift checks (model drift, data drift, concept drift), production quality code and impact assessment These roles should have a ML Sciences understanding as well Prompt Engineering, FT work, Evaluation, Data End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering Comfort in Python and Java is highly desirable About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Must Have Skills: Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG (Retrieval-Augmented Generation) workflows. Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities. Proficiency in developing AI chatbots using ODA (Oracle digital Assistance), Fusion APIs, OIC (Oracle integration cloud) and genAI services. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Analyzes problems, identifies solutions, and makes decisions. Demonstrates a willingness to learn, adapt, and grow professionally. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Understanding of the security and compliance requirements for ML/GenAI implementations. /IC3 Career Level - IC3 Responsibilities Be a leader, a ‘doer’, with a vision & desire to contribute to a business with a technical project focus and mentality that centers around a superior customer experience. Bring entrepreneurial & innovative flair, with the tenacity to develop and prove delivery ideas independently, then share these as examples to improve the efficiency of the delivery of these solutions across EMEA. Working effectively across internal, external and culturally diverse lines of business to define and deliver customer success. Proactive approach to the task and self-learner. Self-motivated, you have the natural drive to learn and pick up new challenges. Results orientation, you won’t be satisfied until the job is done with the right quality! Ability to work in (virtual) teams. To get a specific job done often requires working together with many colleagues spread out in different countries. Comfortable in a collaborative, agile environment. Ability to adapt to change with a positive mindset. Good communication skills, both oral and written! You are able to not only understand complex technologies but also to explain to others in clear and simple terms. You can articulate key messages very clearly. Being able to present in front of customers. https://www.oracle.com/in/cloud/cloud-lift/ About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day. Job Overview We are looking for a Data Engineer who will be part of our Analytics Practice and will be expected to actively work in a multi-disciplinary fast paced environment. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project; its primary responsibility is the acquisition, transformation, loading and processing of data from a multitude of disparate data sources, including structured and unstructured data for advanced analytics and machine learning in a big data environment. Responsibilities: Engineer a modern data pipeline to collect, organize, and process data from disparate sources. Performs data management tasks, such as conduct data profiling, assess data quality, and write SQL queries to extract and integrate data Develop efficient data collection systems and sound strategies for getting quality data from different sources Consume and analyze data from the data pool to support inference, prediction and recommendation of actionable insights to support business growth. Design and develop ETL processes using tools and scripting. Troubleshoot and debug ETL processes. Performance tuning and opitimization of the ETL processes. Provide support to new of existing applications while recommending best practices and leading projects to implement new functionality. Collaborate in design reviews and code reviews to ensure standards are met. Recommend new standards for visualizations. Learn and develop new ETL techniques as required to keep up with the contemporary technologies. Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Support presentations to Customers and Partners Advising on new technology trends and possible adoption to maintain competitive advantage Experience Needed: 8+ years of related experience is required. A BS or Masters degree in Computer Science or related technical discipline is required ETL experience with data integration to support data marts, extracts and reporting Experience connecting to varied data sources Excellent SQL coding experience with performance optimization for data queries. Understands different data models like normalized, de-normalied, stars, and snowflake models. Worked with transactional, temporarl, time series, and structured and unstructured data. Experience on Azure Data Factory and Azure Synapse Analytics Worked in big data environments, cloud data stores, different RDBMS and OLAP solutions. Experience in cloud-based ETL development processes. Experience in deployment and maintenance of ETL Jobs. Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery. Has strong technical background and remains evergreen with technology and industry developments. At least 3 years of demonstrated success in software engineering, release engineering, and/or configuration management. Highly skilled in scripting languages like PowerShell. Substantial experience in the implementation and exectuion fo CI/CD processes. Additional Requirements Demonstrated ability to have successfully completed multiple, complex technical projects Prior experience with application delivery using an Onshore/Offshore model Experience with business processes across multiple Master data domains in a services based company Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality. Demonstrates high standards of professional behavior in dealings with clients, colleagues and staff. Is able to make sound and far reaching decisions alone on major issues and to take full responsibility for them on a technical basis. Strong written communication skills. Is effective and persuasive in both written and oral communication. Experience with gathering end user requirements and writing technical documentation Time management and multitasking skills to effectively meet deadlines under time-to-market pressure Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form. Complete the form and then email it as an attachment to FTADAAA@conduent.com. You may also click here to access Conduent's ADAAA Accommodation Policy. At Conduent we value the health and safety of our associates, their families and our community. For US applicants while we DO NOT require vaccination for most of our jobs, we DO require that you provide us with your vaccination status, where legally permissible. Providing this information is a requirement of your employment at Conduent. Show more Show less

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job Title: Computer Vision Engineer Type and Location: Remote; Both Full-Time and Internship opportunities available Company: RNT Health Insights Private Limited About Us At RNT Health Insights, we are developing Breakthrough Medical Devices to improve the accuracy of detecting early-stage upper gastrointestinal cancers in real-time during endoscopic procedures. We have been granted the US FDA Breakthrough Device Designation for two of our solutions- one intended for early gastric cancer detection and the other for detecting Esophageal adenocarcinoma. The technology behind our AI-assisted detection technology integrates advanced spatial and temporal computer vision algorithms, and is capable of detecting even the smallest mucosal abnormalities, flat lesions or color / textural changes. Job Description As a Computer Vision Engineer, you will play a pivotal role in researching, developing, and implementing spatiotemporal algorithms for detecting and delineating lesions in real-time during endoscopic video feeds. You will collaborate with a multidisciplinary team of AI researchers, gastroenterologists, and software engineers to enhance both spatial and temporal accuracy in lesion detection. This role involves designing preprocessing pipelines, optimizing models, and ensuring low latency, high-performance deployment in clinical settings. Key Responsibilities Algorithm Development: Research, develop, and implement spatiotemporal techniques combined with CNN and other spatial models for real-time lesion detection in endoscopic video streams. Temporal Analysis: Investigate and apply state-of-the-art techniques (e.g., LSTMs, 3D CNNs) to model temporal dependencies in video-based data for improved lesion tracking and detection. Model Integration: Integrate temporal models with existing CNN-based spatial models to create efficient, end-to-end pipelines for real-time inference during endoscopy procedures. Preprocessing & Inference Pipelines: Design and implement robust video preprocessing (e.g., frame extraction, image enhancement, noise reduction) and inference pipelines that ensure smooth integration with endoscopic hardware and software systems. Post-processing Optimization: Work on post-processing techniques to improve lesion localization, classification, and segmentation accuracy, and ensure consistent performance in different clinical settings. Model Optimization: Fine-tune models for deployment on constrained hardware platforms, ensuring low-latency performance without compromising accuracy. Collaborative Research: Collaborate with research teams to explore and incorporate cutting edge temporal models, multi-frame fusion techniques, and domain-specific innovations in medical video analysis. Performance Benchmarking: Benchmark models against datasets, assess performance (accuracy, speed, robustness), and optimize for real-time clinical use. Qualifications And Expectations Bachelor's/ Master's/ PhD in Computer Science, Electrical Engineering, or closely related fields with a focus on Artificial Intelligence, Machine Learning, or Computer Vision. Strong foundation in computer vision principles, including image processing techniques, feature extraction methodologies, and neural network architectures. Proficiency with deep learning frameworks such as TensorFlow, Keras, or PyTorch. Proficiency in programming languages, particularly Python and C++, with the ability to write clean, efficient, and well-documented code. Solid grasp of machine learning algorithms and methodologies, including experience with real-time inference and model optimization for deployment in resource-constrained environments. Ability to engage with and interpret relevant scientific literature, staying updated on the latest advancements in computer vision and machine learning as they apply to medical applications. Ability to communicate ideas clearly and effectively, both in oral and written formats Self-motivated individual who works well in a team, and is open to giving and receiving honest feedback If you are passionate about computer vision and eager to contribute to cutting-edge healthcare technology, we would love to hear from you! Show more Show less

Job Title: Senior Data Analyst Work location Pune Shift Time : 12.00 PM to 9.00 PM (IST) You will work with The AppSim team is responsible for driving application simplification across the organization, focusing on reducing operational complexity and technical debt. They work closely with the wider digital delivery and digital core teams to identify and pursue simplification opportunities. The team collaborates with business partners to align simplification efforts with broader transformation goals and drive measurable improvements in operational efficiency. Let me tell you about the role In the AppSim team, a Data Analyst collects, processes, and analyzes various datasets to support application simplification initiatives. You will interpret sophisticated data sets to identify trends and patterns, using analytical tools to generate actionable insights that drive simplification decisions. You will build visualizations and reports to communicate findings to business collaborators and senior management, ensuring data accuracy and recommending data-driven solutions to tackle value-impacting business challenges. Collaboration with multi-functional teams will be essential to understand business needs and ensure that data analysis supports the overall simplification strategy! In the AppSim team, you will work as part of a cross-disciplinary group, collaborating closely with data analysts, product managers, data scientists, data engineers, software engineers, data managers, and business partners. You will provide actionable, data-driven insights that combine strong statistical skills, data manipulation expertise, and business insight. Your responsibilities will include defining, instrumenting, and maintaining measurement for success, building dashboards, and proactively identifying and driving impactful data analysis opportunities. Acting as a liaison business and digital teams, you will ensure alignment across both areas. If necessary, you will build and maintain data pipelines to support your analysis. You will advocate for leading data analytics methodologies present your findings to peers and leadership to influence decision-making, and mentor others within the team. What you will need to be successful (experience and qualifications) Essential MSc or equivalent experience in a quantitative field, preferably statistics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics, including knowledge of experimental design and analysis and causal inference from observational data. Expert level SQL knowledge. Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and interpersonal skills. Ability to lead through influence. Continuous learning and improvement mentality. Desired Advanced analytics degree Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. No prior experience in the energy industry required. About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Job Description Must Have Skills: Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG (Retrieval-Augmented Generation) workflows. Extensive knowledge of large language models, natural language processing techniques and prompt engineering. Experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities. Proficiency in developing AI chatbots using ODA (Oracle digital Assistance), Fusion APIs, OIC (Oracle integration cloud) and genAI services. Experience in testing and validation processes to ensure the models' accuracy and efficiency in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Analyzes problems, identifies solutions, and makes decisions. Demonstrates a willingness to learn, adapt, and grow professionally. Good to Have Skills: Experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), developing and executing AI over any of the cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines. Knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Understanding of the security and compliance requirements for ML/GenAI implementations. /IC3 Career Level - IC3 Responsibilities Be a leader, a ‘doer’, with a vision & desire to contribute to a business with a technical project focus and mentality that centers around a superior customer experience. Bring entrepreneurial & innovative flair, with the tenacity to develop and prove delivery ideas independently, then share these as examples to improve the efficiency of the delivery of these solutions across EMEA. Working effectively across internal, external and culturally diverse lines of business to define and deliver customer success. Proactive approach to the task and self-learner. Self-motivated, you have the natural drive to learn and pick up new challenges. Results orientation, you won’t be satisfied until the job is done with the right quality! Ability to work in (virtual) teams. To get a specific job done often requires working together with many colleagues spread out in different countries. Comfortable in a collaborative, agile environment. Ability to adapt to change with a positive mindset. Good communication skills, both oral and written! You are able to not only understand complex technologies but also to explain to others in clear and simple terms. You can articulate key messages very clearly. Being able to present in front of customers. https://www.oracle.com/in/cloud/cloud-lift/ About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Role: Generative AI Engineer Intern Company: Growhut Technologies Private Limited Job Type: Full-Time Internship Location: Remote Stipend: INR 15,000 - 20,000 per month About Growhut At Growhut, we’re transforming industries with innovative AI solutions. Join our dynamic team to shape the future of technology and redefine possibilities through cutting-edge AI. The Role As a Generative AI Engineer Intern, you will work on groundbreaking AI projects, leveraging state-of-the-art tools and models to solve real-world challenges. What You’ll Do: Learn and experiment with cutting-edge Generative AI models, including GPT-4, PaLM, and Stable Diffusion, to create transformative applications. Assist in developing innovative AI solutions blending language, vision, and audio. Explore transformer architectures and contribute to optimizing them for impactful applications. Gain experience in prompt engineering and few-shot learning to unlock the potential of large language models. Support the team in building scalable inference systems for real-world applications. Collaborate on research initiatives and contribute to new techniques in controllable generation and multi-modal AI systems. Technical Requirements We’re looking for motivated individuals eager to learn and grow in the field of AI. The ideal candidate should have: Basic familiarity with Generative AI models (e.g., GPT-4, Stable Diffusion). Understanding of foundational AI concepts, including transformers and attention mechanisms. Experience with Agentic workflows and working with Conversational AI . Familiarity with LiveKit , AWS (including Lambda functions ), Google Cloud Platform (GCP), and Vertex AI . Interest in prompt engineering and few-shot learning techniques. Familiarity with programming languages like Python and frameworks like PyTorch or TensorFlow. Strong problem-solving skills and a keen interest in AI research. Why Growhut? At Growhut, we offer more than just an internship - we provide an opportunity to shape the future of AI. Here’s what sets us apart: Work on diverse, cutting-edge projects that will challenge and inspire you. Be part of a fast-growing company where your impact is felt immediately. Collaborate with a team of brilliant minds, pushing each other to new heights. The Growhut Difference At Growhut, we believe in AI’s power to change the world. We’re not just riding the wave of the future—we’re creating it. Every day, you’ll be able to work on projects that matter, solving real problems for real people. We’re looking for someone who is eager to learn, excited to take on challenges, and ready to contribute to groundbreaking AI innovations. If you’re ready to kickstart your career in AI, apply now , and let’s reshape the future together! Show more Show less

Company Description Symbiosis AI is a pioneering company transforming industries with advanced AI solutions. Our offerings include LLM Fusion for superior model orchestration, VectorStore for efficient vector embeddings storage, and InferGen and InferRAG for scalable AI inference. We provide customized solutions for businesses designed to deliver unparalleled performance, scalability, and cost-effectiveness. Role Description Join us as a Technical Animator Intern and help create captivating Bitmoji-style story animations for one of our products - Peeves! This remote, 3-month unpaid internship is perfect for someone passionate about animation, eager to build their skills, and excited to contribute to a fast-paced development environment. What You’ll Do: Create fun, dynamic Bitmoji-like animations for Peeves stories Assist in rigging and animating characters with smooth, engaging motions Script animation workflows to streamline production Collaborate with the creative and technical teams to bring fresh ideas to life What We’re Looking For: Basic experience in motion capture, rigging, and animation Familiarity with 3D animation tools and software Passion for storytelling and creating social-media style animations Strong problem-solving skills and attention to detail Good communication and ability to work remotely with a team Currently pursuing or recently completed a degree in Animation, Computer Science, or a related field Why Join Us? Gain hands-on experience in a cutting-edge social app environment Receive an internship completion certificate and letter of recommendation (LOR) Opportunity for a full-time role after successful internship completion Ready to bring Peeves stories to life with your animation skills? Apply now and be part of something fun and innovative! Show more Show less

Introduction: A Career at HARMAN Lifestyle We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound. Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel Unite your passion for audio innovation with high-tech product development Create pitch-perfect, cutting-edge technology that elevates the listening experience What You Will Do To perform in-depth analysis of data and machine learning models to identify insights and areas of improvement. Develop and implement models using both classical machine learning techniques and modern deep learning approaches. Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection. Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements. Optimize models for performance and latency, including the implementation of caching strategies where appropriate. Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions. What You Need To Be Successful Utilized various statistical techniques to derive important insights and trends. Proven experience in machine learning model development and analysis using classical and neural networks based approaches. Strong understanding of LLM architecture, usage, and fine-tuning techniques. Solid understanding of statistics, data preprocessing, and feature engineering. Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.). Strong debugging and optimization skills for both training and inference pipelines. Familiarity with data formats and processing tools (Pandas, Spark, Dask). Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem. Bonus Points if You Have Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar). Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics). Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes). Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection. Exposure to distributed training and model parallelism techniques. Prior experience in AB testing ML models in production. What Makes You Eligible Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field. 5-10 years relevant and Proven experience in developing and deploying generative AI models and agents in a professional setting. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) Extensive training opportunities through our own HARMAN University Competitive wellness benefits Tuition reimbursement “Be Brilliant” employee recognition and rewards program An inclusive and diverse work environment that fosters and encourages professional and personal development You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! HARMAN is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training, and competitive compensation. (www.harman.com) Show more Show less

AI/ML Skills Data preprocessing & feature engineering Model evaluation and tuning – ROC, F1, Grid Search, etc. Experience and Knowledge of NLP / CV / time series, depending on domain Experience and Knowledge of MCP client/server AI Integration Deploy ML models using REST APIs (Preferably Node.js) Model portability across environments Integration of ML outputs into React UIs Backend Node.js/JavaScript Building APIs Database interaction – MongoDB, PostgreSQL Async programming – Promises, async/await Working with ML model inference pipelines via API endpoints Frontend (React + Redux) Strong React fundamentals – hooks, component design Component driven UI object design and implementation Consuming APIs – REST/GraphQL Error handling, loading states, and form management Visualizing AI/ML outputs (charts, metrics, dashboards) Show more Show less

Job Title: DevOps Engineer Location: Gurugram (On-site) Experience Required: 2–6 years Work Schedule: Monday to Friday, 10:30 AM – 8:00 PM (1st and 3rd Saturdays off) About Darwix AI Darwix AI is a next-generation Generative AI platform built for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI infrastructure processes multimodal data such as voice calls, emails, chat logs, and CCTV streams to deliver real-time contextual nudges, performance analytics, and AI-assisted coaching. Our product suite includes: Transform+: Real-time conversational intelligence for contact centers and field sales Sherpa.ai: Multilingual GenAI assistant offering live coaching, call summaries, and objection handling Store Intel: A computer vision solution converting retail CCTV feeds into actionable insights Darwix AI is trusted by leading organizations including IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty. We are backed by top institutional investors and are expanding rapidly across India, the Middle East, and Southeast Asia. Key Responsibilities Design, implement, and manage scalable cloud infrastructure using AWS services such as EC2, S3, IAM, Lambda, SageMaker, and EKS Build and maintain secure, automated CI/CD pipelines using GitHub Actions, Docker, and Terraform Manage machine learning model deployment workflows and lifecycle using tools such as MLflow or DVC Deploy and monitor Kubernetes-based workloads in Amazon EKS (both managed and self-managed node groups) Implement best practices for configuration management, containerization, secrets handling, and infrastructure security Ensure system availability, performance monitoring, and failover automation for critical ML services Collaborate with data scientists and software engineers to operationalize model training, inference, and version control Contribute to Agile ceremonies and ensure DevOps alignment with sprint cycles and delivery milestones Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field 2–6 years of experience in DevOps, MLOps, or related roles Proficiency in AWS services including EC2, S3, IAM, Lambda, SageMaker, and EKS Strong understanding of Kubernetes architecture and workload orchestration in EKS environments Hands-on experience with CI/CD pipelines and GitHub Actions, including secure credential management using GitHub Secrets Strong scripting and automation skills (Python, Shell scripting) Familiarity with model versioning tools such as MLflow or DVC, and artifact storage strategies using AWS S3 Solid understanding of Agile software development practices and QA/testing workflows Show more Show less

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 5–7 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) Show more Show less

Work From Office only- Jaipur, Rajasthan Must have experience: 4 year+ Should be strongly skilled in FastAPI, RAG, LLM, Generative AI About the Role: We are seeking a hands-on and experienced Data Scientist with deep expertise in Generative AI to join our AI/ML team. You will be instrumental in building and deploying machine learning solutions, especially GenAI-powered applications. Key Responsibilities: - Design, develop, and deploy scalable ML and GenAI solutions using LLMs, RAG pipelines, and advanced NLP techniques. - Implement GenAI use cases involving embeddings, summarization, semantic search, and prompt engineering. - Fine-tune and serve LLMs using frameworks like vLLM, LoRA, and QLoRA; deploy on cloud and on-premise environments. - Build inference APIs using FastAPI and orchestrate them into robust services. - Utilize tools and frameworks such as LangChain, LlamaIndex, ONNX, Hugging Face, and VectorDBs (Qdrant, FAISS). - Collaborate closely with engineering and business teams to translate use cases into deployed solutions. - Guide junior team members, provide architectural insights, and ensure best practices in MLOps and model lifecycle. - Stay updated on latest research and developments in GenAI, LLMs, and NLP. Required Skills and Experience: - 4-8 years of hands-on experience in Data Science/Machine Learning, with a strong focus on NLP and Generative AI. - Proven experience with LLMs (LLaMA 1/2/3, Mistral, FLAN T5) and concepts like RAG, fine-tuning, embeddings, chunking, reranking, and prompt optimization. - Experience with LLM APIs (OpenAI, Hugging Face) and open-source model deployment. - Proficiency in LangChain, LlamaIndex, and FastAPI. - Understanding of cloud platforms (AWS/GCP) and certification in a cloud technology is preferred. - Familiarity with MLOps tools and practices for CI/CD, monitoring, and retraining of ML models. - Ability to read and interpret ML research papers and LLM architecture diagrams. Show more Show less

Senior Data Engineer with ML About the Role We are seeking an experienced Senior Data Engineer with 5-10 years of experience to join our data team. In this role, you will design, build, and maintain robust data pipelines that support both training and inference for our machine learning systems. You will work closely with data scientists to ensure seamless integration between data infrastructure and ML models. Key Responsibilities - Design, develop, and maintain scalable data pipelines for ML training and inference - Collaborate with data scientists to optimize data flows for model training and deployment - Implement and maintain ETL processes to transform raw data into formats suitable for analysis - Ensure data quality, reliability, and accessibility across the organization - Build and optimize data infrastructure to support ML operations - Troubleshoot and resolve data pipeline issues in production environments Required Qualifications - Bachelor's degree in Computer Science, Engineering, or related technical field - 5-10 years of professional experience in data engineering - Strong programming skills in Python or scala. - Extensive experience with data processing frameworks (Apache Spark) - Proficiency in SQL - Experience building and maintaining ML training and inference pipelines - Experience with AWS data services - Experience with version control systems and CI/CD practices Preferred Skills - Experience with MLOps tools and practices (MLflow, Kubeflow, etc.) - Expeirence with Databricks - Familiarity with feature stores and feature engineering best practices - Understanding of distributed computing principles and optimization techniques - Experience with data modeling and data warehouse design Personal Attributes - Strong problem-solving skills with attention to detail - Excellent communication skills to collaborate with technical and non-technical stakeholders - Self-motivated with the ability to work independently and lead projects - Adaptable to changing requirements and technologies - Passion for building reliable, scalable data systems Show more Show less

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. The WEKA® Data Platform sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey. What You'll Be Doing As a Technical Account Manager (TAM), you will utilize your strong technical competencies and customer management skills to provide a high level of personalized, proactive, and reactive enterprise-class solutions and services to our customers. Our TAM team is responsible for managing and maintaining relationships with our customers, ensuring their technical needs are met, and helping them to fully leverage WEKA’s products and solutions. The Technical Account Manager (TAM) role is critical to WEKA’s Premium Services offerings in furthering the WEKA customer relationship and ensuring that our customers achieve the greatest value from their WEKA solution. Working closely and collaboratively within our customers’ organizations, the TAM will understand the customer's business requirements, mission, objectives, technical needs, systems and solutions, environment, and service history. This individual interacts from Staff to Executive level teams and needs to be an excellent written and verbal communicator to both technical and non-technical audiences. As a Technical Account Manager, You'll Provide proactive technical and operational guidance within the framework of their WEKA environment to ensure customers achieving the best possible value from WEKA. Establish customer cadence and proactive engagement to align their needs including, but not limited to technical and business reviews, upgrade/release planning, and expansions, and related documentation. Identify and address customers' critical technical issues and non-technical issues, and coordinate necessary technical activities. Coordination of technical activities may include troubleshooting and solving escalated customer issues directly with the appropriate engineering teams within WEKA and 3rd party vendors for multi-vendor issues when applicable. Monitor customer open cases during business hours. Monitor customer systems, utilizing auto supports and User Console to identify potential problems and trends and subsequently make the necessary recommendations to resolve them to ensure optimal performance of these systems. Track and maintain user configurations and environments. Ensure that all recommended Best Practices are adhered to for maximizing product optimization and uptime. Notify customers of new product features, field/product alert analysis, and recommendations. Help educate the customer on the various tools on the support site and help them understand their WEKA products better. Manage special projects assigned by management to meet customer and cross-functional team needs. Build and maintain a close working relationship with both technical staff and Sr. Leadership from the customer team, in addition to building strong collaborative relationships with internal WEKA teams such as Sales, Sales Engineering, Technical Services, Professional Services, and Engineering You will build a holistic view of the customer and proactively identify areas where value can be maximized, increasing the footprint of products in the customer's environment over time, thereby enhancing customer retention and reference ability. Requirements 10+ Years experience as a Technical Account Manager (TAM) or similar customer facing role. Experience working with customers to identify and resolve critical technical and operational challenges. Excellent written and verbal communication skills. Ability to work within a Global cross-functional team environment. In-depth technical knowledge in three or more of the following areas is essential: Networking ETH/IB UNIX/Linux Storage Technologies Cloud Technology - Amazon Web Services (AWS), Microsoft Azure, Oracle Cloud Infrastructure (OCI), or Google Cloud Platform (GCP). Backup and Recovery AI/ML Strong aptitude for learning new technologies and understanding how to utilize them in a customer facing environment. Ability to follow standard engineering principles and practices. Creative approach to problem solving. Ability to travel to the customers' domestic sites and other global sites as necessary. 24x7 availability for after-hours on-call support for critical issues. The WEKA Way We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards. We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable. We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win. Concerned that you don’t meet every qualification above? Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA. WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Show more Show less

About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Role Overview: We are seeking an experienced AI Product Manager to own the lifecycle of machine-learning and generative-AI products—from concept through launch and iteration. You’ll translate market and user insights into clear roadmaps, partner with engineering and data-science teams to deliver scalable solutions, and measure impact against business KPIs. Location: Hyderabad Notice Period: Immediate to 30 Days Experience: 7 – 9 years overall (incl. 3 + years in ML / data-platform products) Responsibilities: Product strategy & vision ● Define long-term AI product strategy aligned with company OKRs and market trends. ● Champion user problems, competitive differentiators, and regulatory considerations. Roadmap & backlog ownership ● Convert strategy into epics, user stories, and acceptance criteria; prioritise using data-driven frameworks. ● Maintain a groomed backlog and lead sprint planning with cross-functional squads. End-to-end delivery ● Collaborate daily with engineering, data science, UX, QA, and DevOps to ship high-quality releases. ● Drive trade-off decisions on model choices (e.g., classical ML vs. LLM), latency, cost, and privacy. User & stakeholder engagement ● Conduct discovery interviews, usability testing, and beta programs with target users (developers, analysts, business owners). ● Present roadmaps, release demos, and performance updates to executive leadership and customers. Metrics & continuous improvement ● Define success KPIs (adoption, NPS, accuracy, cost per inference, ARR). Monitor dashboards and run A/B tests to optimize. ● Capture feedback loops to iterate on prompts, models, or feature sets. Market & ecosystem awareness ● Track advances in AI frameworks, vector databases, model hosting, and responsible-AI standards. ● Evaluate build / partner / buy options and recommend platform integrations or third-party partnerships. Qualifications: ● 7-9 years total product-management experience, including 3+ years with AI / ML / data-platform products. ● Proven track record shipping B2B SaaS, platform APIs, or developer-tooling features end-to-end. ● Hands-on familiarity with AI concepts: supervised vs. unsupervised learning, model evaluation, prompt engineering, retrieval-augmented generation, MLOps pipelines. ● Ability to write clear PRDs, epics, and technical diagrams; comfortable using Jira, Confluence, or equivalent. ● Strong analytical skills; fluent with SQL/BI tools for product metrics. ● Excellent communication and stakeholder-management skills across business and technical audiences. ● Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience. Preferred / nice to have ● Experience with vector databases, LLM fine-tuning, or agentic AI orchestration. ● Understanding of cloud AI services (AWS, GCP, Azure) and cost-optimisation levers. ● Familiarity with responsible-AI frameworks and governance in regulated industries. ● MBA from Tier-1 Institution We Offer: ● Opportunity to work on business challenges from top global clientele with high impact. Vast opportunities for self-development, including online university access and sponsored certifications. ● Sponsored Tech Talks, industry events & seminars to foster innovation and learning. ● Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. ● Supportive work environment with forums to explore passions beyond work. ● This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment. Show more Show less

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. The WEKA® Data Platform sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey. What You'll Be Doing You will be part of WEKA’s global IT Support team and participate in global IT support. This is a hybrid role — you will work remotely most days- Monday to Friday, from 4:00 PM to 1:00 AM IST, aligning with USA East Coast hours to provide remote IT support to WEKA’s employees across the Americas. with one day per week from the office in Bengaluru (9:00 AM – 6:00 PM IST). You will be supporting cloud services, network and endpoint security solutions, in a full SaaS, modern IT infrastructure utilizing the latest technologies. You will participate in administration of a global company SSO and SaaS: Okta, Google Workspace, and Microsoft 365 Cloud (AWS, OCI, GCP, Azure) Endpoint administration of Mac, Windows and Linux using Jamf and JumpCloud Meraki switches and wifi Zoom Enterprise and Zoom Rooms Atlassian Jira, Jira Service Desk, and Confluence Cato Networks Procurement administration: Reviewing contracts with 3rd party vendors Create RFPs and find vendors Office buildup administration Must Have Requirements Experience as a sysadmin, IT support or similar position in a Hi-tech company Skilled OS administrator on both Mac and Windows Proven knowledge of network fundamentals: TCP/IP, DNS, DHCP, VPN Experience with user administration on Okta, Azure, or Google Workspace Proven experience with writing clear and comprehensive how-to guides and KB articles Self managed, quick learner, and masters new technological fields without outside help Service-oriented personality, ability to work and prioritize under pressure Fluent English - both written and verbal, experience working with global teams It's Nice If You Have Proven experience with the following tools/technologies: Firewall, VPN, SASE or FWaaS administration experience Public cloud experience Experience with SSL certificates Zoom Rooms expertise Linux administration skills Atlassian expertise (workflows, automations, schemes) Jamf certificate or experience with equivalent MDM systems Okta certification and experience with Okta Workflows Experience with scripting in Bash or Python The WEKA Way We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards. We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable. We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win. Concerned that you don’t meet every qualification above? Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA. WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Show more Show less