2068 Inference Jobs - Page 17

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Description: Embedded Systems Lead – Drones, UGVs & Robotics Location: Hyderabad (On-site) Function: R&D | Embedded Systems Reports to: VP - R&D / CTO Role Overview We are looking for a seasoned and hands-on Embedded Systems Lead to architect, develop, and optimize the embedded platforms driving our UAVs, UGVs, and autonomous robotics systems. This role is critical to advancing capabilities in battery optimization, obstacle avoidance, and navigation autonomy, ensuring high-reliability embedded solutions in dynamic and rugged environments. Key Responsibilities Embedded Systems Architecture & Development: Architect and develop embedded solutions for UAVs, UGVs, and robotics, with a focus on autonomy and reliability. Design and optimize firmware for microcontrollers, sensor interfacing, and real-time processing. Battery Systems & Power Optimization Collaborate with electronics and battery teams to implement and optimize Battery Management Systems (BMS) for high-efficiency power usage. Optimize energy consumption strategies across sensors, compute modules, and communication systems. Obstacle Avaoidance & Navigation Integrate and optimize sensor fusion algorithms combining data from LiDAR, stereo cameras, IMUs, GNSS, ultrasonic sensors, and radar. Collaborate with AI and systems software teams to enable real-time SLAM, path planning, and autonomous navigation. Hardware-Software Co-Design Work closely with the Electronics, Mechanical, and Systems Integration teams to ensure tight coupling between hardware capabilities and embedded firmware. Review and contribute to PCB design for signal integrity, thermal considerations, and EMI/EMC compliance. Team Leadership & Technical Mentorship Build, mentor, and lead a high-performance embedded engineering team. Conduct technical reviews and provide architectural guidance. Testing, Validation & Compliance Define and drive testing strategies for embedded platforms under real-world and extreme conditions (temperature, vibration, dust). Implement robust debugging, diagnostics, and performance monitoring mechanisms. Required Skills & Experience Bachelor’s/Master’s in Electronics, Embedded Systems, Robotics, or related field. 8+ years experience in embedded systems development, ideally in drones, UGVs, robotics, or aerospace electronics. Expertise in Embedded C/C++, RTOS, and low-level driver development. Power management and battery systems integration. Sensor fusion and control systems for navigation. PCB design tools and hardware debugging (Altium, Eagle, oscilloscopes, JTAG). Communication protocols: CAN, I2C, SPI, UART. Prior experience with SLAM, obstacle avoidance systems, or autonomy-enabling technologies is highly preferred Preferred Skills Familiarity with AI/ML inference on embedded platforms for perception tasks. Experience with motor control, ESC optimization, and propulsion systems. Knowledge of safety-critical systems and functional safety standards (e.g., ISO 26262). Personal Attributes Problem-solving mindset with a hands-on approach. Strong leadership skills and ability to work in a cross-functional startup environment. Passionate about building cutting-edge autonomous systems. Compensation Competitive and commensurate with experience and capability. How To Apply Send your resume, project portfolio, or technical write-ups to careers@marutdrones.com

We are hiring for leading AI-first soonicorns & unicorns in India seeking a highly skilled Senior Data Scientist with 3-5 years of experience. This is a high-impact role where you will move beyond analysis to build, deploy, and own production-level machine learning models that are core to the business. If you have deep technical expertise and a passion for solving ambiguous problems with data, this is your opportunity to work on cutting-edge challenges. What You'll Do (Your Responsibilities): End-to-End Model Ownership: Design, build, train, and deploy production-grade machine learning models for complex problems like personalization, causal inference, forecasting, and deep learning applications. Influence Strategy: Work directly with business and product leaders to identify high-impact problems, translate them into machine learning frameworks, and drive company strategy with your findings. Productionalize ML: Collaborate with MLOps and engineering teams to build scalable, reliable, and automated pipelines for your models, ensuring they perform robustly in a live environment. Technical Leadership: Act as a subject matter expert, mentoring junior data scientists, leading technical discussions, and pushing the boundaries of what's possible with our data. R&D: Research and implement state-of-the-art algorithms and techniques to solve the most challenging business problems. What We're Looking For (Your Qualifications): Experience: 3-5 years of hands-on experience building and deploying machine learning models in a production environment. Technical Depth: Strong programming skills in Python and deep expertise in libraries like Scikit-learn, TensorFlow, or PyTorch . SQL & Big Data: Advanced proficiency in SQL and experience working with large-scale data systems (e.g., Spark, Hadoop). ML Expertise: A strong, intuitive understanding of a wide range of ML algorithms (from classification and regression to deep learning) and the statistical principles behind them. Business Impact: A proven track record of projects that have had a measurable impact on business outcomes. Problem Solver: You thrive on ambiguity and are skilled at breaking down complex, unstructured problems into actionable steps. Our Unique Application Process: To fast-track your application directly to hiring managers, we use a two-step process: Submit Your Resume: Apply here. AI-Powered Interview: You will be invited to a short, recorded video interview. This is your chance to showcase your skills and personality beyond your resume.

Title : Software Engineer - Backend (Python) About The Role Our team is responsible for building the backend components of MLOps platform on AWS. The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes. What You'll Do Here Design & build backend components of our MLOps platform on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. What you'll need to succeed Must Have Skills Experience with web development frameworks such as Flask, Django or FastAPI. Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc. Experience with concurrent programming designs such as AsyncIO. Experience with unit and functional testing frameworks. Experience with any of the public cloud platforms like AWS, Azure, GCP, preferably AWS. Experience with CI/CD practices, tools, and frameworks. Nice To Have Skills Experience with Apache Kafka and developing Kafka client applications in Python. Experience with MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow. Experience with big data processing frameworks, preferably Apache Spark. Experience with containers (Docker) and container platorms like AWS ECS or AWS EKS. Experience with DevOps & IaC tools such as Terraform, Jenkins etc. Experience with various Python packaging options such as Wheel, PEX or Conda. Experience with metaprogramming techniques in Python. Primary Skills Python Development (Flask, Django or FastAPI) WSGI & ASGI web servers (Gunicorn, Uvicorn etc) AWS

Role Overview: We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities: Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc.). Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements: 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Understanding of ML lifecycle management and reproducibility. Preferred Qualifications: Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer: Work on cutting-edge AI platforms and infrastructure Cross-functional collaboration with top ML, research, and product teams Competitive compensation package – no constraints for the right candidate send mail to :- thasleema@qcentro.com Job Type: Permanent Ability to commute/relocate: Thiruvananthapuram District, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: Devops and MLops: 5 years (Required) Work Location: In person

Summary Associate Director of DDIT US&I Analytics Operations is responsible is required to partner with with Business Stakeholders and DDIT Strategic Business Partners for demand analysis, solution proposal/evaluation and project delivery -Drive operations of systems and applications in scope (both Global and Local), ensuring their stability and integrity and meeting customer service levels and also oversee AI Ops, ML Ops, and LLM Ops, ensuring the efficient and scalable operation of AI and machine learning models. This role involves managing the entire model lifecycle, from development to deployment, monitoring, and maintenance, while adhering to predefined Service Level Agreements (SLAs). The position emphasizes innovation, rapid prototyping, and enterprise-scale deployment of analytics services. About The Role Role purpose: Oversee AI Ops, ML Ops, and LLM Ops to ensure efficient and scalable operations of AI and machine learning models. Manage the entire model lifecycle, including development, deployment, monitoring, and maintenance. Ensure adherence to predefined Service Level Agreements (SLAs) for AI and ML operations. Develop and maintain CI/CD Ops pipelines for seamless integration and deployment of models. Implement and manage model registries for version control and governance. Establish and enforce coding checklists and best practices. Develop and automate testing frameworks to ensure model quality and reliability. Design and manage inference pipelines for real-time and batch predictions. Drive innovation by adopting emerging technologies (GenAI, AI, NLP) and accelerating product/service development through rapid prototyping and iterative methods. Align analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements. Identify and develop advanced analytics capabilities and ecosystem partnerships in alignment with DnA strategy. Key Responsibilities Lead AI Ops, ML Ops, and LLM Ops to ensure the efficient and scalable operation of AI and machine learning models. Develop and manage the model lifecycle, including development, deployment, monitoring, and maintenance. Ensure adherence to predefined SLAs for AI and ML operations. Create and manage analytics product/services roadmaps from concept to launch. Develop and maintain CI/CD Ops pipelines for seamless integration and deployment of models. Implement and manage model registries for version control and governance. Establish and enforce coding checklists and best practices. Develop and automate testing frameworks to ensure model quality and reliability. Design and manage inference pipelines for real-time and batch predictions. Incubate and adopt emerging technologies (GenAI, AI, NLP) to accelerate product/service development through rapid prototyping and iterative methods. Align analytics innovation efforts with business strategy, IT strategy, and legal/regulatory requirements. Establish and update strategies, implementation plans, and value cases for emerging technologies. Drive innovation using appropriate people, processes, partners, and tools. Identify and develop advanced analytics capabilities and ecosystem partnerships in alignment with DnA strategy. Oversee end-to-end delivery of analytics services and products across cross-functional business areas. Serve as the point of escalation, review, and approval for key issues and decisions. Manage resource and capacity planning in line with business priorities and strategies. Foster continuous improvement within the team. Decide on program timelines, governance, and deployment strategies. Key Performance Indicators Achieved targets in Enterprise business case contribution, KPIs, customer satisfaction, and innovation measures Delivery on agreed KPIs including business impact -Launch of innovative technology solutions across Novartis at scale Business impact and value generated from DDIT solutions -Adoption and development of Agile Productization and DevOps practices -Operations stability and effective risk management -Feedback on customer experience -Applications adherence to ISC requirements and are audit ready. Business capability, vision & strategy clearly defined, communicated, and executed, well aligned to business strategy and Enterprise IT strategy, and providing a competitive advantage to Novartis Role model with the highest standards of professional conduct in leading the business capability area in line with the new IT operating model Deployment of digital platforms and services at scale to deliver the digital strategy Skills And Experience Demonstrated experience in Budget Management. Business Acumen. Performance Management. Planning. Project Management, , Risk Management. Service Delivery Management and stakeholder management Strong understanding of AI Ops, ML Ops, and LLM Ops. Experience in developing and managing the model lifecycle, including deployment and maintenance. Proficiency in managing operations with predefined SLAs. Expertise in CI/CD Ops pipelines development. Experience with model registry and management. Knowledge of coding checklists and best practices. Proficiency in developing and automating testing frameworks. Experience in designing and managing inference pipelines. Production experience with commercial and open-source ML platforms. Strong knowledge of AWS, Databricks, and Snowflake service offerings. Ability to collaborate with business teams to gather requirements, groom product backlogs, and drive delivery. Agile delivery experience managing multiple concurrent delivery cycles. Solid foundation in CRISP analytical life cycle management. Strong leadership skills with the ability to build high-performing teams. Excellent vendor management and IT governance skills. Innovative and analytical mindset with a focus on continuous improvement. Emerging Technology Monitoring, Consulting, Influencing & persuading, Unbossed Leadership, IT governance, Building High Performing Teams, Vendor Management, Innovative & Analytical Technologies. Strong understanding of descriptive vs. prescriptive Analytical frameworks. Strong knowledge of visualization platforms and project life cycle management, including Power BI, Qlik, and MicroStrategy. Significant production experience addressing visualization platform and data pipeline performance constraints. Strong analytical and problem-solving skills, effective communication, and the ability to influence and collaborate with cross-functional teams. Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Summary Are you passionate about the intersection of data, technology and science, and excited by the potential of Real-World Data (RWD) and AI? Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights? If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. About the Role Duties and Responsibilities: Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scaleable and automatable data and technology solutions in line with data42 strategy. Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND etc.), FAIR principles and integration with enterprise catalog Define and execute advanced integrated and scaleable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. Draft and edit high-level research documents (proposals, protocols, statistical analysis plans). [optional] Knowledge of governance, ethical and privacy considerations [optional] Ideal Candidate Profile: PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML. 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. High learning agility and adherence to updates in industry and area of work. Optional Experience in Biomedical Research and development in pharma is a bonus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Biomedical Research Business Unit Innovative Medicines Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Alternative Location 1 Dublin (NOCC), Ireland Functional Area Research & Development Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities The Manager (Mgr) – Engine Maintenance (Mx) Planning & Analytics leads a team responsible for data-driven engine maintenance planning and material forecasting. This role oversees the development of analytical tools, dashboards, and forecasting models to support strategic decision-making for all engine and APU programs. In addition, to driving data analytics, the Mgr collaborates with Global Procurement, Inventory Planning, and Finance to optimize material planning and ensure the timely availability of critical engine components. The Mgr is also responsible for continuously improving forecasting accuracy and operational efficiency to support long-term maintenance planning. Design, create, manage dashboards regarding engine removals, spare engine availability, shop turn time, engine strip time, engine build time, and other related information Lead the methodology of an engine parts forecast model for short-term (6 to 18 months) and long-term (> 18 months) use cases that is applicable to multiple fleets and difference specifications Lead project management of the engine procurement cycle by reporting on current and future engine part inventory Manage direct reports and provide professional development to the team Create and deliver engine maintenance reports that will be presented to leadership Perform ad-hoc data analysis and modeling of engine programs to support end users such as Network planning, Fleet, Global Procurement, Finance, and EMM Develop and coordinate solutions to automate, collect/store, and audit data for accuracy This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Engineering, Supply Chain, Business, Science, Mathematics, Finance, Statistics 3+ years’ experience in the aviation and/or aerospace industry 2+ years’ of experience in an analytics and/or quantitative role with demonstrated experience building and maintaining complex analytical models 6+ years’ of engineering / business / supply chain work experience Ability to review data, formulate a model, draw conclusions, and use data-based analysis to inform others Demonstrated ability to lead a team Strong organizational and continuous improvement skills Demonstrated ability to understand technical information Ability to effectively communicate both verbally and in-writing to technical and non-technical audiences Ability to manage complex workload to effectively accomplish assignments with limited supervision Skilled in computer programming languages such as (but not limited to) Python, Ppyspark, Jjava Sscript, HTML, SQL, R, and/or VBA Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree MBA, MS Engineering, MS Data Analytics Project management experience by leading teams through indirect influence Experience managing a team Experience using statistical analysis tools for forecasting parts or events Process improvement experience 3+ years’ experience in aircraft or engine maintenance management Strong aviation and/or engine business acumen Detailed understanding of jet engine components Knowledge of engine maintenance planning/overhaul events Proficiency in Palantir/Foundry Analytics using structured and unstructured data, including statistical inference, parametric and non-parametric predictive models, machine learning, natural language processing

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities The Sr. Analyst – Engine Maintenance (Mx) Planning conducts data analysis and program modeling for all engine and APU types, supporting strategic decision-making across TechOps. This role develops forecast models, builds dashboards, and creates business tools to enhance operational efficiency and long-term maintenance planning. In collaboration with the Engine Mx Management (EMM) team, San Francisco Engine Mx Center, and other stakeholders, the Sr. Analyst ensures data accuracy by validating sources and refining methodologies. Additional responsibilities may include partnering with Inventory Planning and Global Procurement to optimize engine parts inventory and procurement strategies. Develop, implement, and maintain agile long-term engine/APU forecasts Provide project management by tracking, analyzing, and reporting on current and/or future engine/APU part inventory Performs ad-hoc data analysis and modeling of engine programs to support end users across the organization Identify opportunities to automate data collection, monitoring, and other workflows, and create necessary solutions Audit and review data for accuracy and implement corrections as appropriate Prepare reports for stakeholder updates This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Engineering, Supply Chain, Business, Science, Mathematics, Statistics, or Finance 4+ years’ experience in data analysis, project experience Experience building forecasts and doing analysis Proficiency in performing complex analyses or models Skilled in computer programming languages and database systems such as (but not limited to) Python, pyspark, Java Script, SQL, HTML, R, and/or VBA Ability to effectively communicate both verbally and in writing, tailoring delivery to technical and non-technical audiences Strong organizational and continuous improvement skills Ability to manage complex workload to effectively accomplish assignments and projects with limited supervision Proficiency in Microsoft Office Suite including Word, PowerPoint, and Excel Effectively manage projects with multiple stakeholders Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree MBA, MS Engineering, MS Data Analytics Experience in aircraft engine maintenance Process improvement experience Experience using statistical analysis tools for forecasting Strong aviation business acumen Detailed understanding of jet engine maintenance and components Proficiency in Palantir/Foundry Analytics using structured and unstructured data, including statistical inference, parametric and non-parametric predictive models, machine learning, natural language processing

Join our Team As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you are welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson’s Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. You will Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes. You must have Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration. Ability to perform EDA and visualize the data. Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models. Strong programming skills in Python, SQL. Strong understanding of DSA. Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark. Familiarity with Linux/OS X command line, version control software (git), and general software development. Familiarity with APIs Experience in programming or scripting to enable ETL development. Familiarity with relational databases and Cloud (AWS). Understanding of Reinforcement Learning and Causal Inference will be preferred. Qualifications B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute Minimum 4 – 6 years of experience in relevant role Why Ericsson Enterprise Wireless Solutions? At Ericsson Enterprise Wireless Solutions, we are one team - all in on inclusion. Celebrating the uniqueness of our individual team members across the globe helps us build diverse teams where we all can thrive. Our connected, community-focused culture enables each one of us to perform at our best and fully be ourselves. Please note: Ericsson Enterprise Wireless Solutions does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Ericsson Enterprise Wireless Solutions employees. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@ericsson.com DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: India (IN) || Bangalore Job details: Data Scientist (Techn)

Location: Noida | On-site Type: Internship About the role: We’re looking for an Applied Economist - Full-Stack Data Science (R + Shiny ) who can manage the full data cycle from extraction, cleaning, analysis, to visualization and turn complex financial data into clear, actionable insights. You should be confident working with R (preferred) or Python , building interactive dashboards (Shiny) , and embedding them into internal tools to support smart decision-making across finance and operations. The internship is for a duration of 2–3 months . Based on performance during the internship, there is a strong possibility of a full-time job offer afterward. Key Responsibilities: Work with raw financial and operational data: extract, clean, analysis & visualize Analyze trends, performance, and variances to support strategic decisions Build and maintain dashboards using Shiny or similar tools Automate financial reporting and create forecasting models Collaborate with teams to understand data needs and deliver insights Suggest improvements in processes using data Required Skills: Use R (preferably) or Python to handle real-world, messy data Build and deploy Shiny dashboards on servers for real-time insights Strong analytical and problem-solving skills Good understanding of financial metrics and forecasting Ability to work independently and communicate insights clearly Ideal Profile: Trained in Economics / Applied Statistics / Data Science Fluent in R (must-have) , especially for dashboarding via Shiny Strong understanding of causal inference, forecasting, and behavioral trends Comfortable with backend deployment (server-side, not just frontend tools) Bonus: Experience with healthtech/pharma/wellness data Why join us? Fast-growing health-tech & wellness startup Opportunity to own and lead data-driven projects Collaborative, learning-focused team Your work will directly impact company decisions

Role Overview: We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities: Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc.). Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements: 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Understanding of ML lifecycle management and reproducibility. Preferred Qualifications: Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer: Work on cutting-edge AI platforms and infrastructure Cross-functional collaboration with top ML, research, and product teams Competitive compensation package – no constraints for the right candidate send mail to :- thasleema@qcentro.com Job Type: Permanent Ability to commute/relocate: Thiruvananthapuram District, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: Devops and MLops: 5 years (Required) Work Location: In person

Job Title : Solution Architect – Application & AI Engineering Experience : 12+ years (Minimum 8 years of hands-on experience) Location : Mysuru, Karnataka Employment Type : Full-time About the Role We are seeking an experienced and forward-thinking Solution Architect with a strong background in application engineering and AI/ML systems. The ideal candidate should have deep technical expertise and hands-on experience in architecting scalable and secure solutions across web, API, database and cloud ecosystems (AWS or Azure). You will lead end-to-end architecture design efforts—transforming business requirements into robust, scalable, and secure digital products, while ensuring modern AI-driven capabilities are leveraged where applicable. Key Responsibilities Design and deliver scalable application architectures across microservices, APIs and backend databases. Collaborate with cross-functional teams to define solution blueprints combining application engineering and AI/ML requirements. Architect and lead implementation strategies for deploying applications on AWS or Azure using services such as ECS, AKS, Lambda, API Gateway, Azure App Services, Cosmos DB, etc. Guide engineering teams in application modernization, including monolith to microservices transitions, containerization and serverless. Define and enforce best practices around security, performance, and maintainability of solutions. Integrate AI/ML solutions (e.g., inference endpoints, custom LLMs, or ML Ops pipelines) within broader enterprise applications. Evaluate and recommend third-party tools, frameworks, or platforms for optimizing application performance and AI integration. Support pre-sales activities and client engagements with architectural diagrams, PoCs, and strategy sessions. Mentor engineering teams and participate in code/design reviews when necessary. Required Skills & Experience 12+ years of total experience in software/application engineering. 8+ years of hands-on experience in designing and developing distributed applications. Strong knowledge in backend technologies like Python, Node.js, or .NET; and API-first design (REST/GraphQL). Strong understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.). Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation, etc.). Proven experience in architecting and deploying cloud-native applications on AWS and/or Azure. Experience with integrating AI/ML models into production systems, including data pipelines, model inference, and MLOps. Deep understanding of security, authentication (OAuth, JWT), and compliance in cloud-based applications. Familiarity with LLMs, NLP, or generative AI is a strong advantage. Preferred Qualifications Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Exposure to AI/ML platforms like Azure AI Studio, Amazon Bedrock, SageMaker, or Hugging Face. Understanding of multi-tenant architecture and SaaS platforms. Experience working in Agile/DevOps teams and with tools like Jira, Confluence, GitHub/GitLab, etc. Why Join Us? Work on innovative and enterprise-scale AI-powered applications. Influence product and architecture decisions with a long-term strategic lens. Collaborate with forward-thinking and cross-disciplinary teams. Opportunity to lead from the front and shape the engineering roadmap. Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Benefits: Flexible schedule Paid sick time Provident Fund Work from home Application Question(s): Have you led end-to-end architecture design efforts while ensuring modern AI-driven capabilities are leveraged. Do you have hands-on experience in architecting scalable and secure solutions across web, API, database, and cloud ecosystems (AWS or Azure). Experience: Software/Application Engineering: 10 years (Required) Work Location: In person

𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧: AI/ML Engineer 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Noida 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 6 to 8 Years 𝐉𝐨𝐢𝐧𝐢𝐧𝐠: Immediate Are you a problem solver with a deep understanding of machine learning systems and a passion for driving innovation through AI? We are looking for a skilled AI/ML Engineer to join our team in Noida and contribute to high-impact projects across various domains. 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 Design, develop, and deploy end-to-end machine learning models Work on deep learning, natural language processing, and computer vision projects Collaborate with data scientists, product managers, and backend engineers to integrate models into scalable systems Optimize model performance using MLOps pipelines, cloud platforms (AWS/GCP), and containerized environments (Docker, Kubernetes) Stay updated with the latest in AI research and tools, applying innovative approaches to real-world problems 𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 6–8 years of experience in AI/ML development Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn Sound knowledge of supervised/unsupervised learning, model evaluation, feature engineering, and data preprocessing Hands-on experience with cloud services (AWS/GCP/Azure) and CI/CD pipelines Solid understanding of algorithms, data structures, and system design principles 𝐆𝐨𝐨𝐝 𝐭𝐨 𝐇𝐚𝐯𝐞 Experience with Lang Chain, LLMs, or AI agents Familiarity with streaming data, real-time inference, or Edge AI Exposure to MLflow, Kubeflow, or other MLOps tools Apply Now: Send your resume to: palak.sharma@mobcoder.com

:-Job Title: Machine Learning Engineer – 2 Location: Onsite – Bengaluru, Karnataka, India Experience Required: 3 – 6 Years Compensation: ₹20 – ₹25 LPA Employment Type: Full-Time Work Mode: Onsite Only (No Remote) About the Company:- A fast-growing Y Combinator-backed SaaS startup is revolutionizing underwriting in the insurance space through AI and Generative AI. Their platform empowers insurance carriers in the U.S. to make faster, more accurate decisions by automating key processes and enhancing risk assessment. As they expand their AI capabilities, they’re seeking a Machine Learning Engineer – 2 to build scalable ML solutions using NLP, Computer Vision, and LLM technologies. Role Overview:- As a Machine Learning Engineer – 2, you'll take ownership of designing, developing, and deploying ML systems that power critical features across the platform. You'll lead end-to-end ML workflows, working with cross-functional teams to deliver real-world AI solutions that directly impact business outcomes. Key Responsibilities:- Design and develop robust AI product features aligned with user and business needs Maintain and enhance existing ML/AI systems Build and manage ML pipelines for training, deployment, monitoring, and experimentation Deploy scalable inference APIs and conduct A/B testing Optimize GPU architectures and fine-tune transformer/LLM models Build and deploy LLM applications tailored to real-world use cases Implement DevOps/ML Ops best practices with tools like Docker and Kubernetes Tech Stack & Tools Machine Learning & LLMs GPT, LLaMA, Gemini, Claude, Hugging Face Transformers PyTorch, TensorFlow, Scikit-learn LLMOps & MLOps Langchain, LangGraph, LangFlow, Langfuse MLFlow, SageMaker, LlamaIndex, AWS Bedrock, Azure AI Cloud & Infrastructure AWS, Azure Kubernetes, Docker Databases MongoDB, PostgreSQL, Pinecone, ChromaDB Languages Python, SQL, JavaScript What You’ll Do Collaborate with product, research, and engineering teams to build scalable AI solutions Implement advanced NLP and Generative AI models (e.g., RAG, Transformers) Monitor and optimize model performance and deployment pipelines Build efficient, scalable data and feature pipelines Stay updated on industry trends and contribute to internal innovation Present key insights and ML solutions to technical and business stakeholders Requirements Must-Have:- 3–6 years of experience in Machine Learning and software/data engineering Master’s degree (or equivalent) in ML, AI, or related technical fields Strong hands-on experience with Python, PyTorch/TensorFlow, and Scikit-learn Familiarity with ML Ops, model deployment, and production pipelines Experience working with LLMs and modern NLP techniques Ability to work collaboratively in a fast-paced, product-driven environment Strong problem-solving and communication skills Bonus Certifications such as: AWS Machine Learning Specialty AWS Solution Architect – Professional Azure Solutions Architect Expert Why Apply Work directly with a high-caliber founding team Help shape the future of AI in the insurance space Gain ownership and visibility in a product-focused engineering role Opportunity to innovate with state-of-the-art AI/LLM tech Be part of a fast-moving team with real market traction 📍 Note: This is an onsite-only role based in Bengaluru. Remote work is not available. Skills: computer vision,azure,llms,llms and modern nlp techniques,tensorflow,javascript,aws,ml ops,docker,python, pytorch/tensorflow, and scikit-learn,ml, ai,python,scikit-learn,software/data engineering,sql,machine learning,mlops,llm technologies,nlp,mongodb,pytorch,kubernetes,llm,postgresql

Swirl AI turns every product page into a human-like sales conversation, blending LLMs, video understanding, real-time retrieval and agent orchestration. We’ve rocketed from 0 → Eight Figures of ARR in few months , and demand is outpacing our 7-person tech team. So, we need one extraordinary engineer to own the core of our platform and push it to Silicon Valley scale. What you’ll do First 90 days • Deep-dive into our multimodal stack (OpenAI-/Claude-based LLMs, custom SLMs, Azure Video Indexer, Pinecone/RAG, LangGraph) • Ship v2 of our SKU-specific “video-+-text” agent (latency < 500 ms, zero hallucinations). • Productionize auto-evaluation + guardrails (sentiment, brand safety) • Stand up voice & XR modalities and experiment with on-device inference. 6-12 months • R eal-time GEO optimisation • Lead design of our “agent marketplace”: plug-and-play warranty, finance-offer & upsell agents. • Drive infra hardening to handle 10 M+ interactions / month across multiple Fortune-500 sites. Long term • Build and mentor an elite AI / ML/systems team. • Architect the path to: self-serve onboarding, global content network. You might be a fit if you Have 5-10+ yrs building production systems at scale Shipped deep-learning products end-to-end : data pipeline ➜ model training/fine-tuning ➜ safety/guardrails ➜ Serving (K8s, CUDA, Triton, Ray, or similar). Hands-on with multimodal (video, speech, vision) and agentic/RAG architectures. Fluent in Python/Typescript/Go; can debug distributed systems at 2 a.m. and still think product. Thrive in zero-to-one chaos: sketch, hack, iterate, talk to customers, then rewrite for scale. Believe ownership > titles , data-driven rigor > ego, and shipping weekly > polishing forever. What success looks like p50 latency < 500 ms for a multimodal query across 100k videos & 10M documents. Swirl AI becomes the reference “AI Sales Agent” demo in every Fortune-100 board deck. We out-innovate incumbents (Salesforce, Adobe, Shopify) by shipping features 4× faster with a team 10× leaner. Comp, stage & perks Top-of-market cash + meaningful founding equity (we’re an early-stage, venture-backed rocket). Choose your rig: M-series MacBook + 4k monitor or Linux workstation with RTX 6000. Remote-first (US / EU / India time overlap) with quarterly off-sites in Dubai, SF & Bangalore . Visa support, health + mental-wellness stipend, conference budget, unlimited books. Report directly to Kaizad Hansotia (Founder/CEO) & Akshil Shah (CTO) and shape the product that’s already trusted by BYD, Toyota, LG & Lennox. How to apply Send GitHub/LinkedIn + 2-3 sentences on the toughest system you’ve built to careers@goswirl.ai . Side-projects, papers, or a Loom walk-through of your favourite model-ops trick = huge plus. We move fast: expect a 48-hr reply → 1 technical deep-dive → paid take-home sprint → offer. Join us to make product pages talk, show & sell — at human level, globally.

About the Role We are seeking a highly skilled and hands-on AI/ML Lead with deep experience in training and fine-tuning Large Language Models (LLMs) such as LLaMA 3 using frameworks like vLLM. The ideal candidate will bring a strong background in machine learning and a practical understanding of the cybersecurity domain—especially around threat intelligence, vulnerabilities, exploits, and configuration analysis. You will lead the development and implementation of models that understand, process, and generate insights across a wide range of cybersecurity content. You will guide a team of ML engineers and collaborate closely with cybersecurity SMEs, data engineers, and DevOps to ensure delivery of scalable, performant, and security-aware AI systems. Key Responsibilities Lead the fine-tuning and domain adaptation of open-source LLMs (e.g., LLaMA 3) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques. Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files. Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs. Drive the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection). Own the lifecycle of model development including training, inference optimization, testing, and deployment. Provide technical leadership and mentorship to a team of ML engineers and researchers. Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection. Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data. Required Qualifications 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning. Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques. Proven experience working with cybersecurity data—ideally including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets. Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices. Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate. Demonstrated ability to lead projects and collaborate across interdisciplinary teams. Excellent problem-solving skills and strong written & verbal communication. Nice to Have Experience deploying models via vLLM in production environments with FastAPI or similar APIs. Knowledge of cloud-based ML training (AWS/GCP/Azure) and GPU infrastructure. Background in reverse engineering, malware analysis, red teaming, or threat hunting. Publications, open-source contributions, or technical blogs in the intersection of AI and cybersecurity. What We Offer Opportunity to work at the intersection of cutting-edge AI and cybersecurity. Collaborative and fast-paced environment. Access to state-of-the-art hardware and ML tooling. Support for research, conferences, and continuous learning.

As a Senior AI Engineer at Genloop, you will play a crucial role in bringing AI research to fruition by bridging the gap between theoretical concepts and practical applications. Your responsibilities will include scaling research prototypes into production systems, integrating AI models into real-world workflows, and enhancing domain intelligence for applications such as personalized business insights over structured enterprise data. Collaboration with researchers, designers, and product teams will be essential to deliver fast, reliable, and highly valuable features. Your key responsibilities will involve transforming research prototypes into robust and scalable APIs and services, developing end-to-end AI features that enhance user experience and utility, and working closely with research and frontend teams to create seamless AI-powered workflows. You will be responsible for ensuring engineering quality by writing clean and testable code, establishing CI/CD pipelines, and implementing monitoring and observability practices. Additionally, you will contribute to applied research modules, mentor junior engineers, and promote a culture of engineering excellence within the organization. To excel in this role, you should have a minimum of 3 years of experience in building and deploying AI systems in production environments. Strong fundamentals in data structures, system design, and coding best practices are necessary. Hands-on experience with model serving and inference, retrieval systems, relational databases, and structured data integration is required. Proficiency in logging, monitoring, and debugging for ML pipelines, as well as familiarity with GenAI building blocks, dev tooling, and cloud platforms, will be advantageous. Candidates with a background from a Tier 1 college or those who have developed widely used products will be preferred. Genloop, a research-oriented AI company, focuses on creating customized AI systems that continuously learn and adapt to enterprise domains. By integrating open-weight LLMs with domain memory and self-improving intelligence through feedback loops, Genloop aims to build high-impact AI solutions. Joining Genloop offers competitive salaries, meaningful equity, and benefits tailored to support your professional growth. Genloop is an Equal Opportunity Employer that values diversity and inclusivity, fostering a workplace where all voices are heard, and great ideas are welcomed from every corner.,

Overview: We are seeking an Embedded AI Software Engineer with deep expertise in writing software for resource-constrained edge hardware. This role is critical to building optimized pipelines that leverage media encoders/decoders, hardware accelerators, and AI inference runtimes on platforms like NVIDIA Jetson, Hailo, and other edge AI SoCs. You will be responsible for developing highly efficient, low-latency modules that run on embedded devices, involving deep integration with NVIDIA SDKs (Jetson Multimedia, DeepStream, TensorRT) and broader GStreamer pipelines. Key Responsibilities: Media Pipeline & AI Model Integration Implement hardware-accelerated video processing pipelines using GStreamer, V4L2, and custom media backends. Integrate AI inference engines using NVIDIA TensorRT, DeepStream SDK, or similar frameworks (ONNX Runtime, OpenVINO, etc.). Profile and optimize model loading, preprocessing, postprocessing, and buffer management for edge runtime. System-Level Optimization Design software within strict memory, compute, and power budgets specific to edge hardware. Utilize multimedia capabilities (ISP, NVENC/NVDEC) and leverage DMA, zero-copy mechanisms where applicable. Implement fallback logic and error handling for edge cases in live deployment conditions. Platform & Driver-Level Work Work closely with kernel modules, device drivers, and board support packages to tune performance. Collaborate with hardware and firmware teams to validate system integration. Contribute to device provisioning, model updates, and boot-up behavior for AI edge endpoints. Required Skills & Qualifications: Educational Background: Bachelor’s or Master’s degree in Computer Engineering, Electronics, Embedded Systems, or related fields. Professional Experience: 2–4 years of hands-on development for edge/embedded systems using C++ (mandatory). Demonstrated experience with NVIDIA Jetson or equivalent edge AI hardware platforms. Technical Proficiency: Proficient in C++11/14/17 and multi-threaded programming. Strong understanding of video codecs, media IO pipelines, and encoder/decoder frameworks. Experience with GStreamer, V4L2, and multimedia buffer handling. Familiarity with TensorRT, DeepStream, CUDA, and NVIDIA’s multimedia APIs. Exposure to other runtimes like HailoRT, OpenVINO, or Coral Edge TPU SDK is a plus. Bonus Points Familiarity with build systems (CMake, Bazel), cross-compilation, and Yocto. Understanding of AI model quantization, batching, and layer fusion for performance. Prior experience working with camera bring-up, video streaming, and inference on live feeds. Contact Information: To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: Embedded AI Software Engineer” in the subject line. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job Overview And Responsibilities The Sr. Analyst – Engine Maintenance (Mx) Planning conducts data analysis and program modeling for all engine and APU types, supporting strategic decision-making across TechOps. This role develops forecast models, builds dashboards, and creates business tools to enhance operational efficiency and long-term maintenance planning. In collaboration with the Engine Mx Management (EMM) team, San Francisco Engine Mx Center, and other stakeholders, the Sr. Analyst ensures data accuracy by validating sources and refining methodologies. Additional responsibilities may include partnering with Inventory Planning and Global Procurement to optimize engine parts inventory and procurement strategies. Develop, implement, and maintain agile long-term engine/APU forecasts Provide project management by tracking, analyzing, and reporting on current and/or future engine/APU part inventory Performs ad-hoc data analysis and modeling of engine programs to support end users across the organization Identify opportunities to automate data collection, monitoring, and other workflows, and create necessary solutions Audit and review data for accuracy and implement corrections as appropriate Prepare reports for stakeholder updates This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Engineering, Supply Chain, Business, Science, Mathematics, Statistics, or Finance 4+ years’ experience in data analysis, project experience Experience building forecasts and doing analysis Proficiency in performing complex analyses or models Skilled in computer programming languages and database systems such as (but not limited to) Python, pyspark, Java Script, SQL, HTML, R, and/or VBA Ability to effectively communicate both verbally and in writing, tailoring delivery to technical and non-technical audiences Strong organizational and continuous improvement skills Ability to manage complex workload to effectively accomplish assignments and projects with limited supervision Proficiency in Microsoft Office Suite including Word, PowerPoint, and Excel Effectively manage projects with multiple stakeholders Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree MBA, MS Engineering, MS Data Analytics Experience in aircraft engine maintenance Process improvement experience Experience using statistical analysis tools for forecasting Strong aviation business acumen Detailed understanding of jet engine maintenance and components Proficiency in Palantir/Foundry Analytics using structured and unstructured data, including statistical inference, parametric and non-parametric predictive models, machine learning, natural language processing GGN00002039

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job Overview And Responsibilities The Manager (Mgr) – Engine Maintenance (Mx) Planning & Analytics leads a team responsible for data-driven engine maintenance planning and material forecasting. This role oversees the development of analytical tools, dashboards, and forecasting models to support strategic decision-making for all engine and APU programs. In addition, to driving data analytics, the Mgr collaborates with Global Procurement, Inventory Planning, and Finance to optimize material planning and ensure the timely availability of critical engine components. The Mgr is also responsible for continuously improving forecasting accuracy and operational efficiency to support long-term maintenance planning. Design, create, manage dashboards regarding engine removals, spare engine availability, shop turn time, engine strip time, engine build time, and other related information Lead the methodology of an engine parts forecast model for short-term (6 to 18 months) and long-term (> 18 months) use cases that is applicable to multiple fleets and difference specifications Lead project management of the engine procurement cycle by reporting on current and future engine part inventory Manage direct reports and provide professional development to the team Create and deliver engine maintenance reports that will be presented to leadership Perform ad-hoc data analysis and modeling of engine programs to support end users such as Network planning, Fleet, Global Procurement, Finance, and EMM Develop and coordinate solutions to automate, collect/store, and audit data for accuracy This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Engineering, Supply Chain, Business, Science, Mathematics, Finance, Statistics 3+ years’ experience in the aviation and/or aerospace industry 2+ years’ of experience in an analytics and/or quantitative role with demonstrated experience building and maintaining complex analytical models 6+ years’ of engineering / business / supply chain work experience Ability to review data, formulate a model, draw conclusions, and use data-based analysis to inform others Demonstrated ability to lead a team Strong organizational and continuous improvement skills Demonstrated ability to understand technical information Ability to effectively communicate both verbally and in-writing to technical and non-technical audiences Ability to manage complex workload to effectively accomplish assignments with limited supervision Skilled in computer programming languages such as (but not limited to) Python, Ppyspark, Jjava Sscript, HTML, SQL, R, and/or VBA Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree MBA, MS Engineering, MS Data Analytics Project management experience by leading teams through indirect influence Experience managing a team Experience using statistical analysis tools for forecasting parts or events Process improvement experience 3+ years’ experience in aircraft or engine maintenance management Strong aviation and/or engine business acumen Detailed understanding of jet engine components Knowledge of engine maintenance planning/overhaul events Proficiency in Palantir/Foundry Analytics using structured and unstructured data, including statistical inference, parametric and non-parametric predictive models, machine learning, natural language processing GGN00002038

Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria’s largest merchant acquirer. Your Opportunity and Mission We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint’s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models Design experiments and interpret the results to draw detailed and actionable conclusions Work in cross-functional teams across disciplines such as product, engineering and business. You Have... +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred. Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation. Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure. Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights Excellent spoken and written English What Moniepoint Can Offer You The opportunity to drive financial inclusion and shape the future of the African financial ecosystem The chance to work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member’s voice is recognized and valued Flexible work arrangements Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus Company covered health insurance plans Pension plans What To Expect In The Hiring Process A preliminary phone call with one of our recruiters A general interview with the Senior Manager of Marketing Strategy A case study-based discussion with SVP of Marketing A behavioural interview with members of the Executive team Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Consultant - ML/CV Ops Engineer ! We are seeking a highly skilled ML CV Ops Engineer to join our AI Engineering team. This role is focused on operationalizing Computer Vision models—ensuring they are efficiently trained, deployed, monitored , and retrained across scalable infrastructure or edge environments. The ideal candidate has deep technical knowledge of ML infrastructure, DevOps practices, and hands-on experience with CV pipelines in production. You’ll work closely with data scientists, DevOps, and software engineers to ensure computer vision models are robust, secure, and production-ready always. Key Responsibilities: End-to-End Pipeline Automation: Build and maintain ML pipelines for computer vision tasks (data ingestion, preprocessing, model training, evaluation, inference). Use tools like MLflow , Kubeflow, DVC, and Airflow to automate workflows. Model Deployment & Serving: Package and deploy CV models using Docker and orchestration platforms like Kubernetes. Use model-serving frameworks (TensorFlow Serving, TorchServe , Triton Inference Server) to enable real-time and batch inference. Monitoring & Observability: Set up model monitoring to detect drift, latency spikes, and performance degradation. Integrate custom metrics and dashboards using Prometheus, Grafana, and similar tools. Model Optimization: Convert and optimize models using ONNX, TensorRT , or OpenVINO for performance and edge deployment. Implement quantization, pruning, and benchmarking pipelines. Edge AI Enablement (Optional but Valuable): Deploy models on edge devices (e.g., NVIDIA Jetson, Coral, Raspberry Pi) and manage updates and logs remotely. Collaboration & Support: Partner with Data Scientists to productionize experiments and guide model selection based on deployment constraints. Work with DevOps to integrate ML models into CI/CD pipelines and cloud-native architecture. Qualifications we seek in you! Minimum Qualifications Bachelor’s or Master’s in Computer Science , Engineering, or a related field. Sound experience in ML engineering, with significant work in computer vision and model operations. Strong coding skills in Python and familiarity with scripting for automation. Hands-on experience with PyTorch , TensorFlow, OpenCV, and model lifecycle tools like MLflow , DVC, or SageMaker. Solid understanding of containerization and orchestration (Docker, Kubernetes). Experience with cloud services (AWS/GCP/Azure) for model deployment and storage. Preferred Qualifications: Experience with real-time video analytics or image-based inference systems. Knowledge of MLOps best practices (model registries, lineage, versioning). Familiarity with edge AI deployment and acceleration toolkits (e.g., TensorRT , DeepStream ). Exposure to CI/CD pipelines and modern DevOps tooling (Jenkins, GitLab CI, ArgoCD ). Contributions to open-source ML/CV tooling or experience with labeling workflows (CVAT, Label Studio). Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 16, 2025, 3:14:00 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Job Requirements Power Management Software Development Develop and optimize platform-specific power management features on SoCs (based on custom Oryon CPUs). Implement DVFS (Dynamic Voltage and Frequency Scaling), Sleep/Wake logic, and rail/clock gating across CPU, NPU, GPU, and DSP domains. Integrate with Power Management ICs (PMICs) and configure resource power managers (RPMh, RSC). Low Power Mode Enablement: Enable platform deep sleep, suspend-to-idle, and system sleep states tailored for Always-On (AON) use cases. Validate retention/restore sequences of SoC subsystems and memory during low-power modes. Integrate SPMI-based communication with PMIC for power domain control. Thermal & Performance Scaling: Develop and tune thermal mitigation policies using sensors and thermal zones. Interface with Battery Management System (BMS) and configure thermal trip points. Implement CPUFreq/DevFreq drivers with QoS-aware thermal throttling and performance caps. Power & Thermal Characterization: Measure and optimize platform power (active and idle) using Trepn Profiler, QDART, QPST, and onboard fuel gauges. Perform power regression analysis across software releases and feature integrations. Work with system architects to define performance-per-watt KPIs for devices (e.g., AI laptops, edge compute systems). Firmware and Bootloader Integration: Collaborate with UEFI/TF-A developers to manage early-stage power initialization. Coordinate with XBL, ABL, and UEFI teams for seamless handoff of power states to Linux/Windows OS. Debug & Bring-up Support: Triage system-level power and thermal issues with tools like QXDM, QPST, kernel logs, ftrace, trace32, JTAG. Work with silicon validation teams to debug board-level or SoC-level anomalies in power delivery or heat dissipation. Cross-Team Collaboration: Partner with PMIC, platform, kernel, BSP, and thermal teams to co-design efficient power solutions. Support OEM/ODM partners in tuning and validating power features for commercial products (e.g., laptops or tablets). Contribute to system-level test plans and validations for power and thermal readiness at EVT/DVT stages. Work Experience Qualcomm-Specific Knowledge: Hands-on experience with Resource Power Manager (RPMh), SPMI, TSENS, and CPR (Core Power Reduction) mechanisms. Familiarity with Oryon CPUs, Hexagon DSPs, Adreno GPU, and AI accelerators. Experience with tools: QXDM, QPST, Trepn Profiler, QDART, Dragonboard/CRB environments. OS and Driver Development: Strong C/C++ development skills for Linux or Windows kernel power/thermal subsystems. Integration of custom PMIC or thermal drivers in AOSP or Yocto-based distributions. Power Profiling & Tuning: Use of Trepn, PowerTOP, ftrace, perf, and RAPL-like interfaces for detailed power/perf analysis. Tuning performance-per-watt metrics across workloads (AI inference, GPU rendering, video playback, etc.). Debugging and Analysis: Strong log analysis skills (kernel, ADB, QXDM). Familiarity with JTAG/debug probes, boot tracing, and event timelines for power issue debugging. Preferred Qualifications: Prior experience working on any platforms (reference or commercial). Familiarity with Linux on ARM64 and power management on ARM64 SoCs. Knowledge of modern thermal management techniques for fanless laptops or ultrabooks. Exposure to AI performance-power optimization, e.g., NPU power scaling for LLM workloads

Company Description At Applus IDIADA we are looking for talent to help us shape the mobility of tomorrow with safer, more efficient and sustainable vehicles. With presence in 22 countries, we offer job positions around the world and within the company. The automotive sector is currently living a moment of deep technological change. At IDIADA, we focus on constant innovation to adapt our services’ portfolio to an ever-changing environment. Therefore, as part of our team, we expect you to be dynamic and eager to learn and grow with us. Job Description Manage, organise, plan and lead a team of expert testing & instrumentation engineers for successful fulfillment of project requirements for various clients in the domains of Vehicle Dynamics, Brakes, NVH testing and training services under the supervision of the Head of Chassis & Active Safety. Perform dynamic tests on proving grounds and public roads as required for passenger cars and light commercial vehicle's projects independently Perform dynamic test data analysis, mainly through in-house developed software's include pre/post processing of the experimental data to check the vehicle dynamics behavior of the tested vehicle and being able to explain the root of the phenomena happening independently. Demonstrate, present and justify technical decisions based on test & report data to internal teams & clients for vehicle attribute development under the guidance of the Head of Chassis & Active Safety. Manage client interaction, client project reporting and support with sales presentations under the supervision of the Head of Chassis & Active Safety. Ensure occupational health and safety and IDIADA quality process is adhered to at all times in the department under the guidance of the Head of Chassis & Active Safety. Train and develop a team of vehicle dynamics instrumentation and test engineers to meet IDIADA global testing standards and monitor skill matrix and technical competency development Qualifications A Bachelors Degree in Mechanical, Automotive Engineering or Mechatronics; Masters Degree an added benefit. Minimum 5 years of experience in chassis testing with excellent knowledge of vehicle dynamics subjective evaluation, objective testing, data analysis and or calibration of chassis systems A strong theoretical and practical knowledge of vehicle dynamics and automotive technology with an excellent mathematical background to perform post processing analysis and inference of test data. Good analytical and problem analysis and solving skills. Must posses excellent driving skills and vehicle motion feedback Must posses relevant PG license certification, advanced driver training certifications and LMV, LCV with badge, HTV an added advantage Dynamic, proactive, self-motivated, and passion to learn is a must. Willingness and ability to travel globally and locally when required on short notice Good communication skills, both verbal and written in English a must; Hindi and local Indian languages an added advantage Additional Information Applus IDIADA is committed to equality, diversity and inclusion . We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.