677 Drift Jobs - Page 27

About Us Join us in building the future of work! We're creating an AI-powered marketplace that connects enterprises with a global network of skilled knowledge workers. Our platform leverages cutting-edge AI to ensure seamless task execution, predict demand, and create win-win scenarios for everyone involved. If you're passionate about AI and its potential to transform industries, this is the place for you. The Opportunity As a Senior Machine Learning Engineer, you'll be at the heart of our AI innovation. You'll architect and deploy sophisticated ML models that drive our marketplace, empowering millions of knowledge workers and transforming how businesses operate. This is a high-impact role where your work will directly shape the future of our platform and the global knowledge economy. Location: Hyderabad/Bangalore, India (Full-Time) What You'll Do Develop and Deploy Advanced ML Models: Create innovative models for predictive analysis, skill matching, risk mitigation, and AI-assisted task execution. Build Intelligent Systems: Design and implement real-time guidance systems for knowledge workers, enhancing efficiency and accuracy. Optimize for Scale: Work with data engineering to build scalable data pipelines and ensure robust, high-performance model deployments. Drive Innovation: Explore and implement emerging AI paradigms like generative models, reinforcement learning, and advancements toward AGI. Improve Model Performance: Conduct A/B testing, MAB, and hyperparameter tuning to continuously enhance model accuracy and efficiency. Collaborate Cross-Functionally: Partner with product and design teams to align AI solutions with business objectives. Monitor and Maintain: Oversee production model performance, address data drift, and iterate for continuous improvement. What You Bring: Deep ML Expertise: 5+ years of experience in machine learning and data science, with a proven track record of deploying models at scale. Technical Mastery: Proficiency in Python, advanced ML frameworks, algorithms, and data structures. Cloud Experience: Expertise in deploying models on cloud platforms. Specialized Skills: Strong background in recommendation systems, NLP, and predictive analysis. Leadership and Communication: Excellent strategic thinking, communication, and mentoring abilities. Education: Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). Bonus Points: PhD in Machine Learning or AI. Experience in marketplace platforms, gig economies, or talent ecosystems. Why Join Us? Make a Real Impact: Your work will directly influence a platform that empowers millions. Innovative Environment: Be part of a team pushing the boundaries of AI. Career Growth: Opportunities to learn, lead, and grow within a fast-paced company. Competitive Compensation: We offer competitive salaries and benefits. Ready to Shape the Future of Knowledge Work? Apply Now! Show more Show less

About Us Join us in building the future of work! We're creating an AI-powered marketplace that connects enterprises with a global network of skilled knowledge workers. Our platform leverages cutting-edge AI to ensure seamless task execution, predict demand, and create win-win scenarios for everyone involved. If you're passionate about AI and its potential to transform industries, this is the place for you. The Opportunity As a Senior Machine Learning Engineer, you'll be at the heart of our AI innovation. You'll architect and deploy sophisticated ML models that drive our marketplace, empowering millions of knowledge workers and transforming how businesses operate. This is a high-impact role where your work will directly shape the future of our platform and the global knowledge economy. Location: Hyderabad/Bangalore, India (Full-Time) What You'll Do Develop and Deploy Advanced ML Models: Create innovative models for predictive analysis, skill matching, risk mitigation, and AI-assisted task execution. Build Intelligent Systems: Design and implement real-time guidance systems for knowledge workers, enhancing efficiency and accuracy. Optimize for Scale: Work with data engineering to build scalable data pipelines and ensure robust, high-performance model deployments. Drive Innovation: Explore and implement emerging AI paradigms like generative models, reinforcement learning, and advancements toward AGI. Improve Model Performance: Conduct A/B testing, MAB, and hyperparameter tuning to continuously enhance model accuracy and efficiency. Collaborate Cross-Functionally: Partner with product and design teams to align AI solutions with business objectives. Monitor and Maintain: Oversee production model performance, address data drift, and iterate for continuous improvement. What You Bring: Deep ML Expertise: 5+ years of experience in machine learning and data science, with a proven track record of deploying models at scale. Technical Mastery: Proficiency in Python, advanced ML frameworks, algorithms, and data structures. Cloud Experience: Expertise in deploying models on cloud platforms. Specialized Skills: Strong background in recommendation systems, NLP, and predictive analysis. Leadership and Communication: Excellent strategic thinking, communication, and mentoring abilities. Education: Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience). Bonus Points: PhD in Machine Learning or AI. Experience in marketplace platforms, gig economies, or talent ecosystems. Why Join Us? Make a Real Impact: Your work will directly influence a platform that empowers millions. Innovative Environment: Be part of a team pushing the boundaries of AI. Career Growth: Opportunities to learn, lead, and grow within a fast-paced company. Competitive Compensation: We offer competitive salaries and benefits. Ready to Shape the Future of Knowledge Work? Apply Now! Show more Show less

Join the Future of Supply Chain Intelligence — Powered by Agentic AI At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent, autonomous systems that will define its future. Our cutting-edge Agentic AI enables global enterprises to predict disruptions, assess impact instantly, and take real-time action — before operations are even touched. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients across life sciences, aerospace, high tech, and automotive to protect what matters most — from factory floors to patient care. Our advantage isn’t just technology — it’s the largest supplier-validated data lake in the industry, built over 15 years and constantly enriched by our global intelligence network. It’s how we deliver multi-tier visibility, real-time risk assessment, and adaptive compliance at scale. But the real power behind Resilinc? Our people. We’re a fully remote, mission-driven global team, united by one goal: ensuring vital products reach the people who need them — when and where they need them. Whether it’s helping ensure cancer treatments arrive on time or flagging geopolitical risks before they disrupt critical supply lines, you’ll see your impact every day. If you're passionate about building technology that matters, driven by purpose, and being an agent of change who is ready to shape the next era of self-healing supply chains, we’d love to meet you. Resilinc | Innovation with Purpose. Intelligence with Impact. About The Role At Resilinc, we build intelligent systems that safeguard the global supply chain. As a pioneer in supply chain risk management, we’re pushing the boundaries of resilience with AI-powered platforms. We are building a team of forward-thinking Agent Hackers (AI SDETs) to join our mission. What’s an Agent Hacker? It’s not just a title — it’s a mindset. You’re the kind of engineer who goes beyond traditional QA, probing the limits of autonomous agents, reverse-engineering their behavior, and designing smart, self-evolving test frameworks. In this role, you’ll be at the forefront of testing cutting-edge technologies, including Large Language Models (LLMs), AI agents, and Generative AI systems. You’ll play a critical role in validating the performance, reliability, fairness, and transparency of AI-powered applications—ensuring they meet high standards for both quality and responsible use. If you think like a tester, code like a developer, and break systems like a hacker — Resilinc is your proving ground. What You Will Do Develop and implement QA strategies for AI-powered applications, focusing on accuracy, bias, fairness, robustness, and performance. Design and execute automated and manual test cases to validate AI Agents/LLM models, APIs, and data pipelines and good understanding of data integrity, data models, etc Assess AI models using quality metrics such as precision/recall, and hallucination detection. Test AI models for bias, fairness, explainability (XAI), drift, and adversarial robustness. Validate prompt engineering, fine-tuning techniques, and model-generated responses for accuracy and ethical AI considerations. Service/tool development Conduct scalability, latency, and performance testing for AI-driven applications. Collaborate with data engineers to validate data pipelines, feature engineering processes, and model outputs. Design, develop, and maintain automation scripts using Selenium and Playwright for API and web testing Work closely with cross-functional teams to integrate automation best practices into the development lifecycle Identify, document, and track bugs while conducting detailed regression testing to ensure product quality. What You Will Bring Proven expertise in testing AI models, LLMs, and Generative AI applications, with hands-on experience in AI evaluation metrics and testing tools like Arize, MAIHEM, and LangTest. Strong proficiency in Python for writing test scripts and automating model validation, along with a deep understanding of AI bias detection, adversarial testing, model explainability (XAI), and AI robustness. Demonstrate strong SQL expertise for validating data integrity and backend processes, particularly in PostgreSQL and MySQL. Strong analytical and problem-solving skills with keen attention to detail, along with excellent communication and documentation abilities to convey complex testing processes and results. If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. Benefits We offer comprehensive benefits that are specific to each country. Your talent acquisition contact can provide you with a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, retirement benefits, paid time off and learning and development opportunities. To learn more about Resilinc, visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc Show more Show less

Join the Future of Supply Chain Intelligence — Powered by Agentic AI At Resilinc, we’re not just solving supply chain problems — we’re pioneering the intelligent, autonomous systems that will define its future. Our cutting-edge Agentic AI enables global enterprises to predict disruptions, assess impact instantly, and take real-time action — before operations are even touched. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Risk Management, we are trusted by marquee clients across life sciences, aerospace, high tech, and automotive to protect what matters most — from factory floors to patient care. Our advantage isn’t just technology — it’s the largest supplier-validated data lake in the industry, built over 15 years and constantly enriched by our global intelligence network. It’s how we deliver multi-tier visibility, real-time risk assessment, and adaptive compliance at scale. But the real power behind Resilinc? Our people. We’re a fully remote, mission-driven global team, united by one goal: ensuring vital products reach the people who need them — when and where they need them. Whether it’s helping ensure cancer treatments arrive on time or flagging geopolitical risks before they disrupt critical supply lines, you’ll see your impact every day. If you're passionate about building technology that matters, driven by purpose, and being an agent of change who is ready to shape the next era of self-healing supply chains, we’d love to meet you. Resilinc | Innovation with Purpose. Intelligence with Impact. About The Role At Resilinc, we build intelligent systems that safeguard the global supply chain. As a pioneer in supply chain risk management, we’re pushing the boundaries of resilience with AI-powered platforms. We are building a team of forward-thinking Agent Hackers (AI SDETs) to join our mission. What’s an Agent Hacker? It’s not just a title — it’s a mindset. You’re the kind of engineer who goes beyond traditional QA, probing the limits of autonomous agents, reverse-engineering their behavior, and designing smart, self-evolving test frameworks. In this role, you’ll be at the forefront of testing cutting-edge technologies, including Large Language Models (LLMs), AI agents, and Generative AI systems. You’ll play a critical role in validating the performance, reliability, fairness, and transparency of AI-powered applications—ensuring they meet high standards for both quality and responsible use. If you think like a tester, code like a developer, and break systems like a hacker — Resilinc is your proving ground. What You Will Do Develop and implement QA strategies for AI-powered applications, focusing on accuracy, bias, fairness, robustness, and performance. Design and execute automated and manual test cases to validate AI Agents/LLM models, APIs, and data pipelines and good understanding of data integrity, data models, etc Assess AI models using quality metrics such as precision/recall, and hallucination detection. Test AI models for bias, fairness, explainability (XAI), drift, and adversarial robustness. Validate prompt engineering, fine-tuning techniques, and model-generated responses for accuracy and ethical AI considerations. Service/tool development Conduct scalability, latency, and performance testing for AI-driven applications. Collaborate with data engineers to validate data pipelines, feature engineering processes, and model outputs. Design, develop, and maintain automation scripts using Selenium and Playwright for API and web testing Work closely with cross-functional teams to integrate automation best practices into the development lifecycle Identify, document, and track bugs while conducting detailed regression testing to ensure product quality. What You Will Bring Proven expertise in testing AI models, LLMs, and Generative AI applications, with hands-on experience in AI evaluation metrics and testing tools like Arize, MAIHEM, and LangTest. Strong proficiency in Python for writing test scripts and automating model validation, along with a deep understanding of AI bias detection, adversarial testing, model explainability (XAI), and AI robustness. Demonstrate strong SQL expertise for validating data integrity and backend processes, particularly in PostgreSQL and MySQL. Strong analytical and problem-solving skills with keen attention to detail, along with excellent communication and documentation abilities to convey complex testing processes and results. If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. Benefits We offer comprehensive benefits that are specific to each country. Your talent acquisition contact can provide you with a FAQ list for your country. Everyone at Resilinc is eligible for healthcare coverage, retirement benefits, paid time off and learning and development opportunities. To learn more about Resilinc, visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc Show more Show less

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: Data Quality Engineering Support:(Manager, Data Operations & Management_G4_EDAA0605_EDAA0606_EDAA0607_EDAA0608_EDAA0609) As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers—enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams. Who we’re looking for: Primary Responsibilities: Data Quality Engineering & Monitoring Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). Data Quality Operations Respond to and resolve data quality incidents and discrepancies across data domains and systems. Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. Establish SLAs and alerting thresholds for data quality KPIs. Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection. Governance Alignment Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking. Documentation, Enablement & Collaboration Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. Skill: 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. Hands-on expertise in: Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches) SQL and Python for quality validation and automation Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra) Strong troubleshooting skills across distributed data systems and pipelines. Bachelor’s degree in Computer Science, Information Systems, or related field. Preferred Experience: Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements. Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models. Exposure to AI/ML data pipelines and the impact of data quality on model performance. Current GCP Associates (or Professional) Certification. Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid. Additional Information: McDonald’s is committed to providing qualified individuals with disabilities with reasonable[LG1] accommodations to perform the essential functions of their jobs. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, 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. McDonald’s Capability Center India Private Limited (“McDonald’s in India”) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald’s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald’s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment. 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 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

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

Job Title: Data Scientist Job Location: Jaipur Experience: 3 to 6 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences.Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management & Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation & Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review & Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration & Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical & Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment & Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review & System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills & Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities. • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested Candidate can share your CV or Reference at sulabh.tailang@celebaltech.com Show more Show less

Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Every second, the internet gets messier. Content floods in from humans and machines alike—some helpful, some harmful, and most of it unstructured. Forums, blogs, knowledge bases, event pages, community threads: these are the lifeblood of digital platforms, but they also carry risk. Left unchecked, they can drift into chaos, compromise brand integrity, or expose users to misinformation and abuse. The scale is too big for humans alone, and AI isn't good enough to do it alone—yet. That's where we come in. Our team is rebuilding content integrity from the ground up by combining human judgment with generative AI. We don't treat AI like a sidekick or a threat. Every moderator on our team works side-by-side with GenAI tools to classify, tag, escalate, and refine content decisions at speed. The edge cases you annotate and the feedback you give train smarter systems, reduce false positives, and make AI moderation meaningfully better with every cycle. This isn't a job where you manually slog through a never-ending moderation queue. It's not an outsourced content cop role. You'll spend your days interacting directly with AI to make decisions, flag patterns, streamline workflows, and make sure the right content sees the light of day. If you're the kind of person who thrives on structured work, enjoys hunting down ambiguity, and finds satisfaction in operational clarity, this job will feel like a control panel for the future of content quality. You'll be joining a team obsessed with platform integrity and operational scale. Your job is to keep the machine running smoothly: managing queues, moderating edge cases, annotating training data, and making feedback loops tighter and faster. If you've used tools like ChatGPT to get real work done—not just writing poems or brainstorming ideas, but actually processing or classifying information—this is your next level. What You Will Be Doing Review and moderate user- and AI-generated content using GenAI tools to enforce platform policies and maintain a safe, high-quality environment Coordinate content workflows across tools and teams, ensuring timely processing, clear tracking, and smooth handoffs Tag edge cases, annotate training data, and provide structured feedback to improve the accuracy and performance of AI moderation systems What You Won’t Be Doing A boring content moderation job focused on manually reviewing of blogpost after blogpost An entry-level admin role with low agency or impact, just checking boxes in a queue AI Content Analyst Key Responsibilities You will be responsible for maintaining the integrity and safety of digital platforms by leveraging AI tools to efficiently moderate content at scale while continuously improving automated systems through expert human feedback. Basic Requirements At least 1 year of professional work experience Hands-on experience using GenAI tools (e.g., ChatGPT, Claude, Gemini) in a professional, academic, or personal productivity context Strong English writing skills Nice-to-have Requirements Experience with content moderation, trust and safety, or quality assurance Familiarity with structured data annotation or labeling Background in operations, workflow management, or process optimization Interest in AI ethics, responsible AI development, or AI alignment About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $15 USD/hour, which equates to $30,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5593-LK-COUNTRY-AIContentAnaly Show more Show less

As a Senior Machine Learning Engineer at Gojek, you will be at the forefront of applying machine learning to drive strategic and operational improvements. You will lead the development of scalable ML solutions, mentor junior engineers, and collaborate with cross-functional teams to build and deploy models that enhance our service offerings and improve operational efficiency. What You Will Do Design, develop, and deploy machine learning models to solve complex business problems and predict user behaviour. Optimise and scale real-time ML models for production environments, ensuring high availability and low latency. Architect and implement scalable and efficient ML pipelines and infrastructure. Collaborate with data scientists, engineers, and product teams to integrate ML models into production systems. Design and execute experimentation frameworks (A/B testing, multi-armed bandits, etc.) to evaluate model performance and improve decision-making. Continuously monitor and improve model performance in production, addressing concept drift, latency, and reliability challenges. Research and implement best practices in MLOps, automation, and deployment. Develop and deploy Generative AI applications, integrating LLMs and other GenAI models into production workflows. What You Will Need 4 years of hands-on experience in Machine Learning and MLOps. Proven experience in deploying and maintaining real-time machine learning models in high-traffic consumer applications. Strong understanding of system design, distributed systems, and cloud-based ML infrastructure. Proficiency in Python, TensorFlow/PyTorch, and ML frameworks. Experience with experimentation design, A/B testing, and statistical evaluation of ML models. Knowledge of feature stores, model monitoring, and automated retraining workflows. Familiarity with ML lifecycle management tools (MLflow, Kubeflow, TFX, etc.). Strong problem-solving skills and ability to work in a fast-paced environment. Our Data Science team currently consists of 40+ people based in India, Indonesia and Singapore who run Southeast Asia’s leading Gojek business. We oversee all things data and work to become a thought partner for our Business Users, Product Team, and Decision Makers. It’s our job to ensure that they have a structural approach to data-driven problem-solving. Right now, our focus revolves: how to make customers, drivers, and merchants happy and delighted. We have so far created millions of dollar impact across different journeys of customers, drivers and merchants We work with the Engineering, PMs and strategy functions hand-in-glove - be it constructing a new product or brainstorming on a problem like how do we reduce the wait time for the drive, how do we improve assortment, should we treat convenience seeking customer differently from value seeking customer etc As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. Along with us coming from diverse backgrounds, we often have fun sessions to talk about everything and anything from data information to our current movie list. About GoTo Group GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household. About Gojek Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market. About GoTo Financial GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last. GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels. Show more Show less

Software Engineering Leader Do you want to create impactful, futuristic outcomes for businesses across the globe? Can you lead a team of solvers to success? Then this role is perfect for you! Job Title: Director / VP- Software Engineering Role: to deliver faster, smarter, better business outcomes for our clients & partners. Other applicable levels for this role: What are we looking for? This entrepreneurial technology leadership position challenges the client status quo by helping them re-imagine the art of what is possible using a consulting mindset and business strategy skills. This position oversees the delivery of Software Engineering and carries the project management & Delivery DNA. This position requires fanatic iterative improvement ability - the ability to architect a solution, code, research, code more, research more and code some more, rebuild and re-architect, you get the drift. We are seeking hard-core geeks turned engineering managers turned management consultants bored of delivering 80-page PDFs. We want people who are hands-on techies and are interested in building things that matter to businesses generating real outcomes. What are we not looking for? Mere Delegator. Non 'do-er', Budget owner. Agency manager. Co-ordinator. Program Manager. Thrives in aligning people most of the time and may be great at it, but not awesome at *doing things*. A safe player - Not used to taking bold meaningful bets every month smartly & swiftly with a desire to create a leveraged impact by solving differently. Major Roles & Responsibilities Develop and execute a strategic roadmap for executing software engineering projects with a product engineering mindset . Lead and inspire a high-performance core group of developers, architects & engineering managers. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring and helping the team succeed. Our enthusiastic software engineers are just getting started -- and as a manager, you guide the way and set-up examples by coming-up with the best solutions to complex engineering problems. Collaborate with architects, product management and other engineering teams to create solutions that increase the platform's value. Own Delivery - This includes overseeing the end-to-end delivery of software projects ensuring adherence to timelines, budget and impeccable engineering quality, setting up and managing periodic progress meetings and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Drive a HAPPIER culture of constant improvement, identifying and implementing processes helping establish Searce as the best suited software engineering partner. Education & Experience Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So we might look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner along with: Proven experience of 5+ years in a leadership role overseeing software engineering teams, preferably within a professional services environment. Successful track-record of Application modernisation ,Solution Architecting, and High-end software development. Strong technical background with expertise in software development methodologies, languages, and frameworks. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. Demonstrated success in delivering complex software projects on time and within budget. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. Experience in client-facing roles with a focus on building and maintaining relationships. Our technology stack is insane and the role requires experience and understanding of technologies like: Back End : Python, Node , Go Front End : Angular , React , Vue.js Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable AWS, Google Cloud Platform Are you the one? Quick Fit test: Love for technology: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing. Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies. Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?’ About Searce What is ‘searce’ Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo. The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday. What we do Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics. We are a category defining niche’ cloud-native technology consulting company , specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work. We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes. We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries. Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services. As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems. Who we are We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do. At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do. We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us . And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients. We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code. Being HAPPIER. How we work Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer. We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier. Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers. Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime. So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘ Art of Possible ’ Show more Show less

Overview We are seeking a skilled Associate Manager - AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics. Show more Show less

Software Engineering Leader Do you want to create impactful, futuristic outcomes for businesses across the globe? Can you lead a team of solvers to success? Then this role is perfect for you! Job Title: Director / VP- Software Engineering Role: to deliver faster, smarter, better business outcomes for our clients & partners. Other applicable levels for this role: What are we looking for? This entrepreneurial technology leadership position challenges the client status quo by helping them re-imagine the art of what is possible using a consulting mindset and business strategy skills. This position oversees the delivery of Software Engineering and carries the project management & Delivery DNA. This position requires fanatic iterative improvement ability - the ability to architect a solution, code, research, code more, research more and code some more, rebuild and re-architect, you get the drift. We are seeking hard-core geeks turned engineering managers turned management consultants bored of delivering 80-page PDFs. We want people who are hands-on techies and are interested in building things that matter to businesses generating real outcomes. What are we not looking for? Mere Delegator. Non 'do-er', Budget owner. Agency manager. Co-ordinator. Program Manager. Thrives in aligning people most of the time and may be great at it, but not awesome at *doing things*. A safe player - Not used to taking bold meaningful bets every month smartly & swiftly with a desire to create a leveraged impact by solving differently. Major Roles & Responsibilities Develop and execute a strategic roadmap for executing software engineering projects with a product engineering mindset . Lead and inspire a high-performance core group of developers, architects & engineering managers. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring and helping the team succeed. Our enthusiastic software engineers are just getting started -- and as a manager, you guide the way and set-up examples by coming-up with the best solutions to complex engineering problems. Collaborate with architects, product management and other engineering teams to create solutions that increase the platform's value. Own Delivery - This includes overseeing the end-to-end delivery of software projects ensuring adherence to timelines, budget and impeccable engineering quality, setting up and managing periodic progress meetings and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Drive a HAPPIER culture of constant improvement, identifying and implementing processes helping establish Searce as the best suited software engineering partner. Education & Experience Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So we might look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner along with: Proven experience of 5+ years in a leadership role overseeing software engineering teams, preferably within a professional services environment. Successful track-record of Application modernisation ,Solution Architecting, and High-end software development. Strong technical background with expertise in software development methodologies, languages, and frameworks. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. Demonstrated success in delivering complex software projects on time and within budget. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. Experience in client-facing roles with a focus on building and maintaining relationships. Our technology stack is insane and the role requires experience and understanding of technologies like: Back End : Python, Node , Go Front End : Angular , React , Vue.js Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable AWS, Google Cloud Platform Are you the one? Quick Fit test: Love for technology: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing. Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies. Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?’ About Searce What is ‘searce’ Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo. The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday. What we do Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics. We are a category defining niche’ cloud-native technology consulting company , specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work. We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes. We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries. Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services. As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems. Who we are We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do. At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do. We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us . And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients. We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code. Being HAPPIER. How we work Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer. We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier. Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers. Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime. So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘ Art of Possible ’ Show more Show less

Position Details Applied AI Engineer Location: Noida, UP Openings: 1 Description Salary Range: Job Title: Applied AI Engineer The Opportunity Your Gateway to Procurement Excellence! Are you ready to elevate your procurement strategy to new heights? At Instant Markets, a venture of Instant Systems Inc., InstantMarkets offers unparalleled access to various procurement opportunities, ensuring you stay ahead in the competitive landscape. InstantMarkets offers comprehensive access to active and past opportunities, including RFPs, RFQs, RFIs, and more. Our platform ensures you never miss a chancewhether it's a public sector contract, MBE/WBE set-aside, or a lucrative purchase order or you're seeking new business prospects or monitoring competitive bids, our advanced search capabilities empower you to find opportunities that align perfectly with your products and services. Stay ahead of the curve with real-time email notifications, ensuring you never miss a potential opportunity. Gain strategic insights by analyzing historical data, enabling you to fine-tune your approach and enhance your chances of success in every bid. Best of all, InstantMarkets is completely free, offering unlimited access without any subscription fees. Visit our website at www.instantmarkets.com to learn more. Role Overview Were looking for an experienced Applied AI Engineer with 4 years of hands-on experience in building, fine-tuning, and deploying AI/ML solutions in real-world settings. This role focuses on leveraging the latest in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP) to develop cutting-edge applications such as intelligent assistants, semantic search, and AI copilots. What Youll Do Design and implement LLM-based applications using models like GPT, BERT, T5, LLaMA, etc. Build RAG pipelines that combine retrieval systems (e.g., vector search) with generative models for accurate, contextual outputs. Apply NLP techniques to solve real-world tasks like question answering, summarization, information retrieval, and classification. Fine-tune pretrained LLMs and customize them for specific domains or use cases. Develop and maintain end-to-end ML pipelines, from data collection to model deployment and monitoring. Work with APIs like OpenAI's ChatGPT, Hugging Face Transformers, and LangChain to build user-facing GenAI solutions. Collaborate with cross-functional teams to translate AI research into scalable product features. Leverage cloud platforms (AWS, GCP, Azure) and tools like MLflow, Airflow, Docker, and Kubernetes. Monitor model performance, detect drift, and apply retraining or tuning strategies when needed. Who You Are: 4 years of experience in Machine Learning, Deep Learning, and NLP. Strong hands-on experience with LLMs (e.g., GPT, BERT, LLaMA), including fine-tuning and prompt engineering. Practical knowledge of Retrieval-Augmented Generation (RAG) architecture. Experience integrating and building with ChatGPT, OpenAI APIs, or similar LLM services. Proficiency in Python and ML libraries like PyTorch, TensorFlow, Transformers (Hugging Face). Solid understanding of semantic search, vector embeddings, and vector databases (FAISS, Pinecone, Weaviate). Familiarity with LangChain, Haystack, or similar frameworks. Experience with deploying models using Docker, Kubernetes, MLflow, and cloud platforms (AWS, GCP, or Azure). More About Instant Systems Inc.: Were a Silicon Valley-based company with offices in Noida. We find bright startups, invest in these companies, help them establish competent product engineering teams, and apply tools and methods for effective technology and program management. You are being interviewed as a candidate to join our team and help many of our ventures or specifically hired for one. Learn more at https://in.instantsys.com Joining Instant Systems Means Becoming Part Of a Dynamic Team Where Your Ideas Are Valued, And Your Contributions Make a Real Impact. Here's What You Can Expect From Life At Instant Systems You'll collaborate with talented individuals on innovative projects that push technological boundaries. We prioritize your career growth with mentorship, training, and access to cutting-edge tools. Enjoy flexibility with remote work options for better work-life balance. We embrace diversity, ensuring every voice is heard and respected in our inclusive workplace. Equal Employment Opportunity Statements: The policy of Instant Systems is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status. Additionally, Instant Systems is committed to being an Equal Employment Opportunity (EEO) employer and offers opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation to assist with your job search or application for employment, email us at careers@instantsys.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Job Description Prompt Engineer & Conversation Designer (Backend) This role requires working from our local Hyderabad office 2-3x a week. Location: Hyderabad, Telangana, India ABOUT THE TEAM The Generative AI Quality & Experience team owns ABC’s end-to-end conversational stack: the prompt library, multi-turn orchestration layer, and the evaluation platform that guards against hallucinations, logic regressions, and prompt drift. We build and run the automated pipelines that score accuracy, safety, latency, and cost for every agent interaction across Evo, Glofox, Ignite, and Trainerize. Working hand-in-hand with product managers, UX writers, backend engineers, and LLM researchers, we turn breakthrough language-model capabilities into reliable, brand-aligned user experiences—at scale and under tight latency budgets. As our Prompt Engineer / Conversation Designer (Backend) you’ll be the technical linchpin: designing conversation flows, hardening prompts, and proving quality through rigorous, metrics-driven testing. At ABC, we love entrepreneurs because we are entrepreneurs. We know how much grit it takes to start your own business and grow it into something that lasts. We roll our sleeves up, we act fast, and we learn together. You will be working closely with talented software engineers and senior engineering leaders to optimize and build upon our single integration platform strategy. WHAT YOU WILL DO Build automated evaluation pipelines (Promptfoo, OpenAI Evals, custom test harnesses) that score prompts and agent flows for correctness, relevance, safety and cost. Act as the bridge between backend engineering and product interaction teams, making sure every proof-of-concept behaves exactly as designed and agent logic remains consistent from prototype to production. Define Gen-AI quality metrics—answer accuracy, reasoning-step coverage, hallucination rate, latency and user-satisfaction scores—and surface them in live dashboards. Own regression-test coverage: schedule nightly eval runs, track logic regressions / prompt-stability issues and coordinate “human-in-the-loop” reviews for gray-area failures. Rapidly iterate and fine-tune prompts for GPT-4, Claude and open-weights models, using the evaluation pipeline to lift accuracy and suppress hallucinations. Architect multi-turn conversation flows and function-call chains that invoke micro-services or tool APIs to fulfil user intents. Design agent personas, guardrails and JSON-schema response formats that downstream services can reliably parse. Document prompt patterns, failure modes and best practices in an internal library adopted by all product squads. Collaborate with UX conversation designers to match tone, brand voice and accessibility guidelines. Mentor engineers on prompt safety, system-prompt layering and structured output design; champion an experimentation culture across teams. WHAT YOU WILL NEED 5–8 years total software-/ML-engineering experience including 2–3 years focused on QA or evaluation of ML/LLM systems. Hands-on experience building test harnesses for LLM behaviour using OpenAI Evals, Promptfoo or similar frameworks; comfortable designing A/B and regression suites. Proven success shipping features on GPT-4, Claude or similar models in production. Deep skills with LangChain/LlamaIndex, OpenAI function-calling and JSON-schema prompts, plus retrieval-augmented-generation (RAG) pipelines. Strong coding in Python (preferred) or Node.js; familiarity with CI/CD and serverless runtimes on AWS or Azure. Meticulous attention to detail and documentation; able to codify evaluation protocols so results are reproducible and debuggable. Solid grasp of conversation-design heuristics (intent recognition, turn-taking, error recovery) and evaluation metrics (BLEU/F1, toxicity scores). Exceptional written & verbal communication—able to translate model behaviours and trade-offs for both technical and non-technical audiences. Demonstrated mentoring skills—cultivating curiosity, psychological safety and innovation within diverse teams. WHAT’S IN IT FOR YOU: Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset Time Off – competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards crèche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers. We’re committed to diversity and passion, and encourage you to apply, even if you don’t demonstrate all the listed skillsets! ABC’S COMMITMENT TO DIVERSITY, EQUALITY, BELONGING AND INCLUSION: ABC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are intentional about creating an environment where employees, our clients and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person’s diversity, including the extent to which they are similar or different. ABC leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to diversity, equality, belonging and inclusion at abcfitness.com ABOUT ABC: ABC Fitness (abcfitness.com) is the premier provider of software and related services for the fitness industry and has built a reputation for excellence in support for clubs and their members. ABC is the trusted provider to boost performance and create a total fitness experience for over 41 million members of clubs of all sizes whether a multi-location chain, franchise or an independent gym. Founded in 1981, ABC helps over 31,000 gyms and health clubs globally perform better and more profitably offering a comprehensive SaaS club management solution that enables club operators to achieve optimal performance. ABC Fitness is a Thoma Bravo portfolio company, a private equity firm focused on investing in software and technology companies (thomabravo.com). #LI-HYBRID If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Greetings from Synergy Resource Solutions, a leading Recruitment Consultancy. Our client is a Smart Air Quality Monitoring Solutions company offering data-driven environmental solutions for better decision making. Using our sensor-based hardware, we monitor various environmental parameters related to air quality, noise, odour, weather, radiation etc. Designation: - Environmental Data Scientist (Ahmedabad) Location: - Ahmedabad Experience: - 1 - 3 years Work timings: 10:00 am to 6:30 pm (5 days working) Job Description: We are seeking a research-driven Environmental Data Scientist to lead the development of advanced algorithms that enhance the accuracy, reliability, and performance of air quality sensor data. This role goes beyond traditional data science — it focuses on solving real-world challenges in environmental sensing, such as sensor drift, cross-interference, and data anomalies. Key Responsibilities: ● Design and implement algorithms to improve the accuracy, stability, and interpretability of air quality sensor data (e.g., calibration, anomaly detection, cross-interference mitigation, and signal correction) ● Conduct in-depth research on sensor behavior and environmental impact to inform algorithm development ● Collaborate with software and embedded systems teams to integrate these algorithms into cloud or edge-based systems ● Analyze large, complex environmental datasets using Python, R, or similar tools ● Continuously validate algorithm performance using lab and field data; iterate for improvement ● Develop tools and dashboards to visualize sensor behavior and algorithm impact ● Assist in environmental research projects with statistical analysis and data interpretation ● Document algorithm design, testing procedures, and research findings for internal use and knowledge sharing ● Support team members with data-driven insights and code-level contributions as needed ● Assist other team members with writing efficient code and overcoming programming challenges Required Skills & Qualifications ● Bachelor’s or Master’s degree in one of the following fields: Environmental Engineering / Science, Chemical Engineering, Electronics / Instrumentation Engineering, Computer Science / Data Science, Physics / Atmospheric Science (with data or sensing background) ● 1-2 years of hands-on experience working with sensor data or IoT-based environmental monitoring systems ● Strong knowledge of algorithm development, signal processing, and statistical analysis ● Proficiency in Python (pandas, NumPy, scikit-learn, etc.) or R, with experience handling real-world sensor datasets ● Ability to design and deploy models in a cloud or embedded environment. ● Excellent problem-solving and communication skills. ● Passion for environmental sustainability and clean-tech. Preferred Qualifications: ● Familiarity with time-series anomaly detection, sensor fusion, signal noise reduction techniques or geospatial data processing. ● Exposure to air quality sensor technologies, environmental sensor datasets, or dispersion modeling. Benefits: Competitive salary and benefits package Opportunities for professional growth and development A dynamic and collaborative work environment If your profile is matching with the requirement & if you are interested for this job, please share your updated resume with details of your present salary, expected salary & notice period. Job Type: Full-time Pay: ₹450,000.00 - ₹500,000.00 per year Work Location: In person

Midtbygdens Idrettslag 4120 Tau Om jobben Stillingstittel Daglig leder Type ansettelse Fast, heltid 100% Arbeidsspråk Norsk Antall stillinger 1 Søk senest lørdag 31. mai Midtbygdens Idrettslag (MIL) er et aktivt og inkluderende idrettslag som siden 1936 har vært en viktig samfunnsbygger for lokalmiljøet på Tau og i Strand kommune. Klubben har i dag rundt 500 medlemmer og et bredt tilbud innen fotball, håndball og hallidrett for barn, unge og voksne. Klubben jobber etter verdiene Målrettet - Inkluderende - Lokal. Dagens leder, Oddbjørn Mihle Strand går over i en ny jobb og vi søker derfor etter en engasjert og strukturert person til å lede klubben videre. Ansvar og arbeidsoppgaver: ansvar for den daglige driften av idrettslaget i tråd med styrets vedtak, klubbens verdier, målsettinger og strategier lede og koordinere klubbens aktiviteter sammen med sportslig utvalg og øvrige frivillige bidra til et positivt engasjement blant medlemmer og frivillige ansvar for klubbens økonomiske drift og utvikling oppfølging av klubbens inntektsbringende aktiviteter som sponsorarbeid, arrangementer, dugnader, søknad til stiftelser, kontingent m.m. markedsføring og profilering av klubben samarbeid med idrettskrets, særforbund, kommune og andre samarbeidspartnere ta ansvar for klubbens HMS Ønskede kvalifikasjoner og egenskaper: Som daglig leder er du klubbens eneste ansatte, og mye av aktiviteten baseres på frivillig innsats. Vi ser etter en samlende og inspirerende leder som evner å delegere og motivere. Arbeidsdagen er variert og du må kunne jobbe selvstendig og strukturert, med evne til å prioritere. Vi ønsker at du: har erfaring fra ledelse, administrasjon eller prosjektarbeid, gjerne innen idrett eller annet frivillig arbeid vil bidra til videreutvikling av MIL sin sterke posisjon i lokalmiljøet på Tau har et sterkt engasjement for idrett og inkluderende aktivitetstilbud har økonomiforståelse og behersker IT kan jobbe selvstendig, ta initiativ og gjennomføre aktiviteter gode kommunikasjonsevner, både muntlig og skriftlig Hvorfor Midtbygdens Idrettslag? et positivt fellesskap med engasjerte frivillige og medlemmer du får stor påvirkningskraft i å utvikle idrettslaget vi har et flott idrettsanlegg på Tau, og med den nye hallen som fylket skal bygge, vil tilbudet vårt bli enda bedre. MIL får tilgang til hall, klubblokaler og kontor du får en fleksibel og variert arbeidshverdag hvor du er din egen sjef vi har en sunn og god økonomi Registrer og send inn cv og søknad snarest, og senest 31. mai. Har du spørsmål, så ta gjerne en uforpliktende og konfidensiell prat med Thor Morten Bratli i ASAP Personal på nr 911 96 503. Kontaktperson for stillingen Thor Morten Bratli Daglig Leder tmb@asap-personal.no Om bedriften Sektor Privat Annonsedata Stillingsnummer 2942068 Hentet fra websystemer Referanse k49_r3374467

JOB_POSTING-3-70234-2 Job Description Role Title: AVP, Principal Product Engineer (L11) Company Overview COMPANY OVERVIEW: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #5 among India’s Best Companies to Work for 2023, #21 under LinkedIn Top Companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among India’s Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among India’s Best Workplaces for Women in 2022.We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India. Organizational Overview This role will be part of the Data Architecture & Analytics group part of CTO organization. Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL).Data team owns and manages different tools platforms which provides an environment for designing and building different data solutions.Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency.Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts Role Summary/Purpose We are seeking a highly experienced Senior MLOps Platform Admin to join our dynamic team and drive the implementation and optimization of our machine learning operations. You will leverage your deep expertise to build and maintain robust, scalable, and reliable MLOps pipelines. With 5+ years of hands-on experience, you will play a critical role in bridging the gap between data science and engineering, ensuring the seamless deployment and monitoring of our machine learning models.. Key Responsibilities Understand industry trends and build a roadmap for SYF MLOps capabilities.Focus on faster data curation, comprehensive model governance, and automated model drift detectionDesign, develop, and implement end-to-end pipelines on MLOps platform.Automate model training, validation, deployment, and monitoring processes.Implement CI/CD pipelines for machine learning models, integrating with tools like Jenkins, CLoudbees etc.Configure and manage MLOps environments, ensuring optimal performance and resource utilization.Integrate MLOps model registry with AWS storage solutions.Implement robust monitoring and logging solutions using AWS CloudWatch.Track model performance metrics and identify potential issues, such as model drift.Optimize model performance and ensure high availability in production environments.Develop and maintain data pipelines for machine learning workflows.Implement data versioning and lineage tracking.Ensure data security and compliance with relevant regulations.Collaborate closely with data scientists, data engineers, and software developers.Communicate effectively with stakeholders to understand requirements and provide technical guidance.Implement security best practices throughout the MLOps pipeline. Required Skills/Knowledge Proven experience in building and deploying machine learning models in production environments.Expertise in Python and experience in ML libraries like tensorflow, H2O, Anaconda etcExperience with CI/CD pipelines and tools.Excellent problem-solving and communication skills.Experience with model monitoring and drift detection. Desired Skills/Knowledge Understanding of Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.Understanding of AWS services, including EC2, EKS, S3, SageMaker.AWS certifications (e.g., AWS Certified Machine Learning – Specialty).Experience with other cloud platforms, like Azure, GCP. Eligibility Criteria Bachelor's degree in Computer Science or similar technical field of studyMinimum 10+ years of technology experience and in lieu of a degree 12+ years of experienceMinimum 5+ years of experience in MLOps.Ability to develop and maintain strong collaborative relationships at all levels across IT and the business.Excellent written and oral communication skills, along with a strong ability to lead and influence others.Experience working iteratively in a fast-paced agile environment.Demonstrated competency linking business strategy with IT technology initiativesProven track record of leading and executing on critical business initiatives on-time and within budget.Demonstrated ability to drive change and work effectively across business and geographical boundaries.Expertise in evaluating technology and solution engineering, with strong focus on architecture and deployment of new technologySuperior decision-making, client relationship, and vendor management skills. Work Timings: 3 PM to 12 AM IST (WORK TIMINGS: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.) For Internal Applicants Understand the criteria or mandatory skills required for the role, before applyingInform your manager and HRM before applying for any role on WorkdayEnsure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)Must not be any corrective action plan (First Formal/Final Formal, PIP)L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.L09+ Employees can apply Grade/Level: 11 Job Family Group Information Technology

Job Summary We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies—including large language models (LLMs), computer vision, machine learning, and data science—to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives.Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture.Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions.Own the AI/ML lifecycle—from prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks.Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment.Expertise in prompt engineering, agentic workflows, and custom LLM development.Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks.Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods.Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring.Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies.Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs.Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost.Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc.Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc.Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies.Hands-on with deep learning frameworks such as PyTorch and TensorFlow.Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc.Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools.Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB).Familiarity with caching systems like Redis and Memcached.Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred Experience in leading enterprise-scale AI/ML deployments.Contributions to open-source GenAI/ML projects.Certifications in AWS AI/ML or equivalent.

ABOUT AGRATASAgratas is a wholly owned subsidiary of Tata Sons. We design, develop and manufacture high-quality, high-performance, sustainable batteries applied to multiple use cases in the mobility and energy sectors, to match our customers’ requirements. Agratas is a scale-up business with a start-up mentality, driven by our pursuit of green growth and technological progress. We develop next-generation battery technologies at our state-of-the-art R&D Innovation Hubs in India and the UK. ROLE PROFILEThe OpportunityWe are seeking a technically skilled and detail-oriented Process Engineer to lead web handling and tension control systems within the electrode coating process of our Li-ion cell manufacturing line. The candidate will be responsible for designing, optimizing, and troubleshooting web transport systems to ensure coating quality, edge alignment, and film integrity throughout the coating section. Business Expertise:Requires understanding of manufacturing operations, quality systems, and how different departments (like R&D, supply chain, and maintenance) work together. Knowledge of industry trends and competitor technologies is essential.Problem Solving:Deals with complex issues such as process variability, yield loss, and equipment reliability. Requires analytical thinking, innovation, and adaptability to environmental factors like humidity and material behavior.Nature & Area of Impact:Directly impacts production efficiency, quality, and cost. Influences the performance of teams and departments, contributing to business goals and overall competitiveness. PERSON PROFILEKey Accountabilities and ResponsibilitiesProcess Design & Optimization Design and optimize web handling systems for uniform coating on electrode foils (Al & Cu).Define and validate tension profiles across different coating zones: unwinding, coating, drying, rewinding.Optimize parameters for web speed, roller alignment, nip pressure, and dynamic tension compensation.Control Systems & Automation Develop and fine-tune closed-loop tension control systems using load cells, dancers, brakes, and servo drives.Work with automation engineers to integrate PLC/SCADA/HMI for real-time monitoring and control.Ensure synchronization across multiple web zones (e.g., dual-sided coating, segmented dryers).Coating Quality & Web Stability Prevent web defects such as wrinkles, misalignment, telescoping, and flutter.Maintain coating uniformity by ensuring consistent web tension and speed during dynamic operation.Analyze the impact of web tension on slurry coating behavior and drying consistency.Scale-up & Equipment Commissioning Support commissioning and ramp-up of new coating lines and upgrades.Collaborate with OEMs on web path design, tension control logic, roller selection, and automation integration.Maintenance, Monitoring & Troubleshooting Develop standard operating procedures for tension control systems.Perform root cause analysis and resolve issues related to web breakage, coating defects, or tension instability.Conduct periodic calibration and maintenance of load cells, encoders, and web guide systems.Documentation & Cross-functional Support Document tension control strategy, process settings, and alarm logic.Interface with quality, maintenance, and R&D teams to align web handling design with product requirements and experimental trials.Knowledge, Skills and Experience EssentialDesign and refine web transport systems to ensure smooth movement of electrode sheets during coating, drying, and winding stages without defects or misalignment.Maintain precise control of web tension throughout the process to prevent issues such as wrinkles, breaks, or misregistration, ensuring consistent product quality.Hands-on experience in tension control systems, servo drives, web guiding, and dynamic roller systems.Strong understanding of mechanics of continuous webs, foil deformation, and process-material interaction.Proficient with tools like AutoCAD, SolidWorks, and control system platforms (e.g., Siemens, Allen Bradley).Use sensors, load cells, and control software to continuously monitor tension and alignment, and make real-time adjustments for optimal performance.Identify and resolve process abnormalities such as web drift, telescoping, or slack zones to minimize downtime and material waste.Ensure web handling components like rollers, brakes, tension controllers, and guiding systems are properly maintained and calibrated for reliable operation.Work closely with coating, maintenance, and automation teams to integrate and improve web handling strategies in line with production goals. DesiredDeep understanding of web handling mechanics, including tension zones, nip points, speed differentials, and dancer/feedback control systems.Proficiency with PLCs, HMI interfaces, and closed-loop control systems used for web alignment and tension regulation.Experience with data analysis and process control tools (e.g., SPC, Minitab) to monitor performance, identify trends, and implement corrective actions.Familiarity with process data acquisition and analysis tools to monitor web performance and drive continuous improvement.Strong communication and cross-functional collaboration skills to work effectively with R&D, quality, and production teams.Role Specific Qualifications/CertificationsBachelor’s or master’s degree in chemical engineering, Materials Science, Mechanical Engineering, or a related field3-10 years of experience in a manufacturing environment, preferably in battery, chemical, or pharmaceutical industries.

We are seeking a highly skilled and proactive Senior Test Engineer to join our team at Mystique AI Inc., where you will be testing our cutting-edge Gen AI-based automation platform. The ideal candidate will have deep expertise in automation testing, a strong understanding of AI-based workflows, and experience with CI/CD pipelines for MLOps. You will play a crucial role in ensuring the reliability, scalability, and performance of our platform through intelligent automation and advanced testing strategies. Required Skills & Qualifications: Bachelor’s degree in computer science, Engineering, or a related field.3+ years of experience in Quality Assurance with a strong focus on Automation Testing.Hands-on experience with automation tools like Selenium, Cypress, Playwright, Appium or similar.Strong understanding of CI/CD tools and processes (Jenkins, GitLab CI, Azure DevOps).Proficiency in API testing using tools like Postman, REST-assured, or similar.Experience with scripting languages (Python, JavaScript, or Java) for test automation.Familiarity with containerized environments (Docker, Kubernetes) is a plus.Good understanding of Agile/Scrum methodologies.Excellent problem-solving skills, attention to detail, and communication abilities.Experience with cloud-based application testing (AWS, Azure, GCP).Hands-on experience with performance and load testing tools (JMeter, Gatling).Familiarity with AI-driven test generation platforms such as Qodo’s TestGPT, Functionize testGPT, or similar LLM-powered testing frameworks. Automation Focus: We are looking for someone who is passionate about maximizing automation coverage and driving efficiencies in the testing lifecycle. The candidate should be proactive in identifying areas for automation, optimizing test runs, and leveraging Gen AI to enhance test reliability and predictive analysis for our platform.Intelligent Test GenerationSelf-healing Automation ScriptsPredictive Defect AnalysisModel Consistency, Drift Analysis, and Hallucination Detection 

Role Overview We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving. Key Responsibilities Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring. Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems. Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker. Automate ML workflows using CI/CD best practices and tools. Ensure model reproducibility, governance, and performance tracking. Monitor deployed models for data drift, model decay, and performance metrics. Implement robust versioning and model registry systems. Apply security, performance, and compliance best practices across ML systems. Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities. Required Skills & Qualifications 4+ years of experience in Software Engineering or MLOps, preferably in a production environment. Proven experience with AWS services, especially AWS Sagemaker for model development and deployment. Working knowledge of AWS DataZone (preferred). Strong programming skills in Python, with exposure to R, Scala, or Apache Spark. Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes). Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools. Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline. Solid understanding of DevOps and cloud-native infrastructure practices. Excellent problem-solving skills and the ability to work collaboratively across teams. (ref:hirist.tech)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities: Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data Build, tune, and evaluate machine learning models for predictive and prescriptive analytics Conduct drift analysis to monitor model performance and ensure accuracy over time Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field 2+ years of experience in Data Science, AI/ML, or a similar role Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Hands-on experience in delivering production-grade AI/ML projects Experience in testing model bias and fairness to meet the responsible use of AI standards Solid programming skills in Python, with experience in pandas, numpy, and SQL Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Solid understanding of mathematical and statistical concepts Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) is a plus. Proven excellent problem-solving and analytical thinking skills Solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications: Familiarity with the US Healthcare domain Familiar with Transformers, Large Language Models, RAG and AI Agents Familiarity with cloud technologies At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.