417 Distillation Jobs - Page 7

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions. Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field. Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies. Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter). Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API). Familiarity with prompt engineering and structured evaluation of generative outputs. Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced parental leave policies MacBook Pro Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Role & responsibilities Operating Equipments in Chemical Plant- Like Reactors, Centrifuge, ANFD etc.

As an AI Research Apprentice you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision-language architectures (VLAs/VLMs) and automated data-annotation pipelines that turn raw site footage into training gold. Key Responsibilities Design and train diffusion-based generative models for realistic, high-resolution synthetic data Build compact Vision-Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks Develop Vision-Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks Qualifications & Skills Strong foundation in deep learning, probabilistic modeling and computer vision (coursework or research projects) Hands-on experience with diffusion models (e.g., DDPM, Latent Diffusion) in PyTorch or JAX Familiarity with multimodal transformers / VLMs (CLIP, BLIP, Flamingo, LLaVA, etc.) and contrastive pre-training objectives Working knowledge of data-centric AI: active learning, self-training, pseudo-labeling and large-scale annotation pipelines Solid coding skills in Python, PyTorch / Lightning, plus git-driven workflows; bonus for C++ and CUDA kernels Bonus: experience with on-device inference (TensorRT, ONNX Runtime) & synthetic data tools (Isaac Sim) Why Join Us Research bleeding-edge generative & multimodal tech and watch it land on real construction robots Publish, patent and open-source: we encourage conference submissions and community engagement Help build a company from the ground up—your experiments can become flagship product features Requirements PyTorch or JAX C++ CUDA kernels ONNX Runtime TensorRT Isaac Sim Latent Diffusion

Drive the next wave of generative and multimodal intelligence that powers our autonomous drywall-finishing robots. As a core member of the AI Research team, you'll turn cutting-edge vision-language and diffusion advances into robust, real-time systems that see, reason, and act on dynamic construction sites. Key Responsibilities Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2 Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation, and production hand-off to perception & controls teams Publish internal tech reports and external conference papers; mentor interns and junior engineers Qualifications & Skills 3+ years in deep-learning R\&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo) Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision Advanced proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training (PyTorch Lightning, DeepSpeed, Ray) Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code Bonus: experience with synthetic data generation in Isaac Sim, or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D) Why join us? Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots Competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration Requirements Vision-Language Models Vision-Language Alignment R\&D Ph.D./M.S. in CS, EE, Robotics TensorRT, ONNX Runtime CUDA / C++

Handle the shift activity as per given planning. • Casual manpower handling, distribution, and proper utilization. • Work experience in manual plant. • Handling and good exposure in operation such as distillation, pump, Vacuum Ejector, ANF, Scrubber, SS316 and MSGL reactor. • Handling and good exposure of various solvent and chemical process. • Maintain good housekeeping. • Knowledge about SOP, batch process record. • Knowledge about MSDS. • Monitoring critical process parameter. • Knowledge on Safety, Health and Environment is must.

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter) Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API) Familiarity with prompt engineering and structured evaluation of generative outputs Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Production Executive - 7 to 9 Years (B.E - Chemical, M.Sc - Chemistry) Pilot Plant Officer - 3 to 6 Years (B.Sc/M.Sc - Chemistry) Distillation - Plant Operator - 3 to 7 Years (ITI - AOCP/Dip - Chemical) Executive/AM - Packaging (QA) 4 to 6 Years (B.Sc/M.Sc - Chemistry with Course of Packaging) QA - Officer/Executive - 3 to 9 Years - (B.Sc/M.Sc - Chemistry) QC - Officer/Executive - 3 to 9 Years - (B.Sc/M.Sc - Chemistry) Store Officer/Executive - 3 to 9 Years - (B.Com + Material Management) Store Tank Farm Operator - 5 to 7 Years - (ITI - COPA) Maintenance Engineer - 3 to 5 Years - (Dip/Bachelors - Mechanical) Maintenance Technician - 5 to 7 Years - (ITI - Fitter/ITI - MMCP) EHS Officer/Executive - 3 to 5 Years - (Dip - Chemical/ B.Sc / M.Sc - Chemistry Purchase Officer - 3 to 5 Years - Any Graduation EXIM Officer - 3 to 5 Years - Any Graduation Liasioning Officer - 2 to 5 Years

Plant Operation & Monitoring Process Optimization Manpower Supervision Maintenance Coordination Utility & Support Systems Safety & Compliance Reporting & Documentation

AI Research Intern – AryaXAI AI Alignment Labs Commitment: Full-time internship (6 months; potential extension or full-time offer) Start Date: Rolling About AryaXAI AI Alignment Labs AryaXAI AI Alignment Labs, based out of Mumbai, India and Paris, France, is the alignment and explainability division of AryaXAI.com, part of Aurionpro Solutions. We work on AI interpretability and trustworthiness for mission-critical sectors. Our open-source initiatives include the xai_evals benchmarking suite and the DLBacktrace explainability framework, both designed to make AI more transparent, reliable, and aligned with human values. What You’ll Do Collaborate closely with our research and engineering teams on one of the areas: Library Development: Architect and enhance open-source Python tooling for alignment, explainability, uncertainty quantification, robustness, and machine unlearning. Model Benchmarking: Conduct rigorous evaluations of LLMs and deep networks under domain shifts, adversarial conditions, and regulatory constraints. Explainability & Trust: Design and implement XAI techniques (LRP, SHAP, Grad-CAM, Backtrace) across text, image, and tabular modalities. Mechanistic Interpretability: Probe internal model representations and circuits—using activation patching, feature visualization, and related methods—to diagnose failure modes and emergent behaviors. Uncertainty & Risk: Develop, implement, and benchmark uncertainty estimation methods (Bayesian approaches, ensembles, test-time augmentation) alongside robustness metrics for foundation models. Research Contributions: Author and maintain experiment code, run systematic studies, and co-author whitepapers or conference submissions. General Required Qualifications Strong Python expertise: writing clean, modular, and testable code. Theoretical foundations: deep understanding of machine learning and deep learning principles with hands-on experience with PyTorch. Transformer architectures & fundamentals: comprehensive knowledge of attention mechanisms, positional encodings, tokenization and training objectives in BERT, GPT, LLaMA, T5, MOE, Mamba, etc. Version control & CI/CD: Git workflows, packaging, documentation, and collaborative development practices. Collaborative mindset: excellent communication, peer code reviews, and agile teamwork. Preferred Domain Expertise (Any one of these is good) : Explainability: applied experience with XAI methods such as SHAP, LIME, IG, LRP, DL-Bactrace or Grad-CAM. Mechanistic interpretability: familiarity with circuit analysis, activation patching, and feature visualization for neural network introspection. Uncertainty estimation: hands-on with Bayesian techniques, ensembles, or test-time augmentation. Quantization & pruning: applying model compression to optimize size, latency, and memory footprint. LLM Alignment techniques: crafting and evaluating few-shot, zero-shot, and chain-of-thought prompts; experience with RLHF workflows, reward modeling, and human-in-the-loop fine-tuning. Post-training adaptation & fine-tuning: practical work with full-model fine-tuning and parameter-efficient methods (LoRA, adapters), instruction tuning, knowledge distillation, and domain-specialization. Additional Experience (Nice-to-Have) Publications: contributions to CVPR, ICLR, ICML, KDD, WWW, WACV, NeurIPS, ACL, NAACL, EMNLP, IJCAI or equivalent research experience. Open-source contributions: prior work on AI/ML libraries or tooling. Domain exposure: risk-sensitive applications in finance, healthcare, or similar fields. Performance optimization: familiarity with large-scale training infrastructures. What We Offer Real-world impact: address high-stakes AI challenges in regulated industries. Compute resources: access to GPUs, cloud credits, and proprietary models. Competitive stipend: with potential for full-time conversion. Authorship opportunities: co-authorship on papers, technical reports, and conference submissions.

AI Research Intern – AryaXAI AI Alignment Labs Location: Remote / Mumbai, India Commitment: Full-time internship (6 months; potential extension or full-time offer) Start Date: Rolling About AryaXAI AI Alignment Labs AryaXAI AI Alignment Labs, based out of Mumbai, India and Paris, France, is the alignment and explainability division of AryaXAI.com , part of Aurionpro Solutions. We work on AI interpretability and trustworthiness for mission-critical sectors. Our open-source initiatives include the xai_evals benchmarking suite and the DLBacktrace explainability framework, both designed to make AI more transparent, reliable, and aligned with human values. What You’ll Do Collaborate closely with our research and engineering teams on one of the areas: Library Development: Architect and enhance open-source Python tooling for alignment, explainability, uncertainty quantification, robustness, and machine unlearning. Model Benchmarking: Conduct rigorous evaluations of LLMs and deep networks under domain shifts, adversarial conditions, and regulatory constraints. Explainability & Trust: Design and implement XAI techniques (LRP, SHAP, Grad-CAM, Backtrace) across text, image, and tabular modalities. Mechanistic Interpretability: Probe internal model representations and circuits—using activation patching, feature visualization, and related methods—to diagnose failure modes and emergent behaviors. Uncertainty & Risk: Develop, implement, and benchmark uncertainty estimation methods (Bayesian approaches, ensembles, test-time augmentation) alongside robustness metrics for foundation models. Research Contributions: Author and maintain experiment code, run systematic studies, and co-author whitepapers or conference submissions. General Required Qualifications Strong Python expertise: writing clean, modular, and testable code. Theoretical foundations: deep understanding of machine learning and deep learning principles with hands-on experience with PyTorch. Transformer architectures & fundamentals: comprehensive knowledge of attention mechanisms, positional encodings, tokenization and training objectives in BERT, GPT, LLaMA, T5, MOE, Mamba, etc. Version control & CI/CD: Git workflows, packaging, documentation, and collaborative development practices. Collaborative mindset: excellent communication, peer code reviews, and agile teamwork. Preferred Domain Expertise (Any one of these is good) : Explainability: applied experience with XAI methods such as SHAP, LIME, IG, LRP, DL-Bactrace or Grad-CAM. Mechanistic interpretability: familiarity with circuit analysis, activation patching, and feature visualization for neural network introspection. Uncertainty estimation: hands-on with Bayesian techniques, ensembles, or test-time augmentation. Quantization & pruning: applying model compression to optimize size, latency, and memory footprint. LLM Alignment techniques: crafting and evaluating few-shot, zero-shot, and chain-of-thought prompts; experience with RLHF workflows, reward modeling, and human-in-the-loop fine-tuning. Post-training adaptation & fine-tuning: practical work with full-model fine-tuning and parameter-efficient methods (LoRA, adapters), instruction tuning, knowledge distillation, and domain-specialization. Additional Experience (Nice-to-Have) Publications: contributions to CVPR, ICLR, ICML, KDD, WWW, WACV, NeurIPS, ACL, NAACL, EMNLP, IJCAI or equivalent research experience. Open-source contributions: prior work on AI/ML libraries or tooling. Domain exposure: risk-sensitive applications in finance, healthcare, or similar fields. Performance optimization: familiarity with large-scale training infrastructures. What We Offer Real-world impact: address high-stakes AI challenges in regulated industries. Compute resources: access to GPUs, cloud credits, and proprietary models. Competitive stipend: with potential for full-time conversion. Authorship opportunities: co-authorship on papers, technical reports, and conference submissions.

Job Purpose: Contributes to planning and execution of chemical reactions to ensure that the R & D targets are met. Ensure efficient production of goods as per the defined quality and quantity while STRICTLY following all the safety protocols. Continuously improving efficiency, following good laboratory practices by proper planning and maintaining the lab notebook regularly are important. Role & responsibilities: Technology- Basic knowledge of organic chemistry, and analytical techniques such as NMR, IR, HPLC, and GC. Good understanding of purification techniques such as distillation, crystallization, precipitation and filtration. Identify and estimate impurities. Smart literature search using Reaxys, SciFinder-n, publication/patent sites and various search engines. Operation and Safety- Knowledge of setting up of a chemical reaction under anhydrous condition, distillation, crystallization, separation etc. Understanding reaction parameters, good observation and documenting the unit operations. Follow and implement safety measures. Documentation and Data Analysis - Coordinate with analytical chemists to access data, analyze and report to TL while recording in lab notebooks. Policies, Processes and Systems- Possess excellent organization, written, and verbal skills to convey project goals and inspire support from peers and senior management. Follow internal processes diligently. Organizational Capacity- Continuously improve processes to ensure quality and efficiency. Set goals and review performance. Identify development needs and take stake in the department performance. Preferred candidate profile: Minimum Education Qualification- M.Sc or PhD in Organic Chemistry Minimum Experience (in Years)- 4 - 6 years Shifts- Candidates willing to take second & night shifts Interested candidates are requested to share their updated profiles on shweta.chaskar@cohizon.com Regards, Shweta

CTO&/CTO&/2025/2685598 Job Title: Vision X Principal with Gen / AI architect. Location: Chennai and Noida Exp :- 15 to 20+ Primary skills :- Vision AI Solution, Nvidia, Computer Vision, Media, Open Stack. Job Type: Full-time Band : E5 Key Responsibilities Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud. Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server. Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning. Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions. Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier. Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable. Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance. Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability. Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data). Contribute to internal innovation strategy, including IP generation, publications, and external presentations. ________________________________________ 🛠️ Required Technical Skills Deep expertise in computer vision, deep learning, and multi-modal AI. Proven hands-on experience with: NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server TAO Toolkit, Isaac SDK, CUDA, cuDNN Strong in PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines. Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters). Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow Proficiency in Python, C++, CUDA (or PyCUDA), and scripting. Familiar with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion). Experience in multi modal (LVM/VLM), SLMs, small LVM/ VLM, Time series Gen AI models, Agentic AI, LLMOps/Edge LLMOps, Guardrails, Security in Gen AI, YOLO/Vision Transformers ________________________________________ 🤝 Soft Skills & Leadership 10+ years in AI/ML/Computer Vision, with 8+ years in technical leadership or architect roles Strong leadership skills with experience mentoring technical teams and driving innovation. Excellent communicator with the ability to engage stakeholders across engineering, product, and business. Strategic thinker with a practical mindset—able to balance innovation with production-readiness. Experience interfacing with enterprise customers, researchers, and hardware partners. ________________________________________ 🧩 Preferred Qualifications MS or PhD in Computer Vision, Machine Learning, Robotics, or a related technical field ( Added Advantage ) Experience with NVIDIA Omniverse, Clara, or MONAI for healthcare or simulation environments. Experience in domains like smart cities, robotics, retail analytics, or medical imaging. Contributions to open-source projects or technical publications. Certifications: NVIDIA Jetson Developer, AWS/GCP AI/ML Certifications. ________________________________________

Opportunity Description: Senior AI/ML Computer Vision Engineer - Tech Lead At Jinn Labs, we’re reimagining how retail security works—using cutting-edge Vision AI to stop theft before it happens. Our mission? Solve the $100B shrinkage problem in retail with AI-native agents that detect, understand, and act—starting with the most expensive and overlooked issue: employee theft. Who should consider this opportunity? We’re looking for candidates who geek out on every stage of the computer-vision pipeline: whether you’re wrangling raw pixels into meaningful features, architecting and running experiments to validate new models, or building bullet-proof data-cleaning pipelines that tame messy, real-world footage. You’ll apply applied statistics at scale—A/B testing architectures, tuning hyperparameters against principled metrics, and interpreting confidence intervals—to drive measurable gains in detection and re-identification accuracy. If you love transforming noise into insight and seeing your algorithms deployed in live retail settings—where each increment in performance directly reduces shrinkage and elevates the customer experience n this role, you’ll also take the helm in shaping the vision and design of our solutions: defining the core problem statements, mapping out end-to-end data flows, and translating business goals into actionable technical roadmaps. You’ll guide cross-functional teams on experiment design, set success criteria, and prioritize features based on impact and feasibility. Your ability to frame complex challenges, sketch out robust evaluation plans, and push stakeholders toward clear, data-driven decisions will be critical to fast-tracking our path from prototype to production. What We’re Building: Our real-time system integrates seamlessly with existing cameras and POS setups in convenience stores, gas stations, and small-format retail. No human monitoring. Just actionable insights, automated responses, and a measurable impact on the bottom line. Why Jinn? We’re backed by the Allen Institute for AI (AI2) and have a team with over 100 years of experience across computer vision, ML, and production engineering. Our founders and advisors have driven growth at Amazon, Microsoft, LinkedIn, Rippling, and more. We’ve already helped our first customers unlock major ROI—and we’re just getting started. Why Now? We’re well-funded, on the path to raise our seed round, and scaling fast. Joining us now means shaping the core product, influencing the roadmap, and building a system that will be in thousands of stores in the next year. What You’ll Do: Build CV models that run reliably in the wild—across edge devices and cloud pipelines Work with a world-class team obsessed with scientific rigor and product impact Tackle challenges across detection, tracking, multi-modal fusion, and real-time inference Own your work, end-to-end—from research to production We’d Love to Meet You If: You’ve shipped ML/CV models in production (bonus if it’s on the edge) You’re excited by real-world messiness and solving hard technical problems You want your work to matter—measurably—to customers, not just metrics You’re ready to grow fast with a startup that’s moving even faster (More details below) Role Description The Senior Computer Vision Engineer will be responsible for developing and implementing advanced computer vision algorithms, pattern recognition models, on cloud and on the edge computing to improve retail security and operational efficiency. Key Responsibilities Lead the design, development, training, and deployment of state-of-the-art computer vision and machine learning models for real-time applications in retail environments. Develop and optimize algorithms for tasks such as: Real-time object detection, tracking (people, products), and re-identification. Action recognition and behavior analysis for identifying theft-related activities and operational inefficiencies. Anomaly detection in video feeds and integrated POS data. Architect and implement robust MLOps pipelines for model versioning, training, deployment, monitoring, and continuous improvement on both edge devices and cloud platforms. Optimize model performance (latency, throughput, accuracy) for deployment on edge devices with limited computational resources Collaborate closely with software engineers to integrate CV models into the broader product architecture and ensure seamless data flow from existing camera infrastructure and POS systems. Work with large-scale, real-world video datasets, including developing strategies for data acquisition, augmentation, annotation, and quality control. Mentor junior engineers and contribute to a culture of technical excellence and innovation. Contribute to system-level design and decision-making regarding our vision pipeline and overall AI capabilities. Required qualifications 5+ years of hands-on experience in developing and deploying computer vision and machine learning models in production environments. Deep understanding and practical experience with PyTorch, NumPy; strong proficiency with CUDA for GPU acceleration. Ability to work with different model architectures including transformers, CNN and LSTM. Demonstrable experience processing and analyzing multiple concurrent video feeds in real-time, with deployments on edge devices and/or cloud platforms. Expert programming skills in Python; proficiency in C++ is a strong plus for performance-critical components. Strong theoretical understanding and practical application of Computer Vision techniques (e.g., image processing, feature extraction, multi-view geometry) and Pattern Recognition. Extensive experience in the end-to-end lifecycle of AI vision models, including data collection, labeling and annotations, training from scratch, fine-tuning, evaluation, and deployment. Strong analytical and problem-solving skills Preferred qualifications Master's or Ph.D. in Computer Science, with a specialization in Computer Vision or Machine Learning. Knowledge of at least one cloud provider stack (GCP preferred) Experience with quantization, pruning, knowledge distillation, TensorRT, ONNX Experience with edge computing platforms and SDKs (e.g., NVIDIA Jetson, DeepStream SDK, Hailo, Raspberry Pi). * Understanding of challenges specific to retail environments (e.g., varying lighting conditions, occlusions, camera angles, low-resolution footage) Send your cover letter and resume to Hr@jinnlabs.ai for consideration.

About Us Founded in 2007, Biz2Credit is rated as the Number 1 small business financing resource in the U.S. by Entrepreneur Magazine. Till date, we've facilitated more than $2.5+ billion in small business lending. Biz2Credit, an all - in - one financing solution for entrepreneurs to get a small business loan with fast approval process. Explore the best small business financing options with us! Biz2Credit offers an innovative way for lenders and small business borrowers to connect through our online credit marketplace. Our robust network includes more than 1,200 lenders and tens of thousands of small businesses who connect to the network through partnerships with Paychex, Start - up America, CPA's, business brokers and other referral partners. Biz2X is the technology platform that has helped Biz2Credit become the premier alternative lender for small businesses. Now, traditional banks are leveraging our expertise and experience to automate small business lending. Biz2X allows banks to implement AI - powered digital banking. This allows banks clients to have a fully omnichannel experience with data and workflows that adapt seamlessly to the banks core banking systems. Biz2X platforms world - class risk solutions are based on AI algorithms that enables auto decision - making and quick processing. Biz2X is One Platform That Does It All - automates lending, optimizes risk management, and improves operational efficiency. Learn More : www.biz2credit.com & www.biz2x.com Read About Us https://www.globenewswire.com/en/news - release/2023/04/25/2653660/0/en/Financial - Times - Names - Biz2Credit - and - Biz2X - to - its - Americas - Fastest - Growing - Companies - of - 2023 - List.html https://inc42.com/buzz/biz2credit - announces - esops - worth - 12 - 25 - mn - for - 500 - indian - employees/ About The Role This is a rare opportunity to join a fast - growing team, where you will play a major role in shaping Biz2Credit's future. We're looking for an exceptional candidate that is excited about the opportunity to build a next - generation financial services business. We believe th at there is a tremendous opportunity to leverage cutting - edge data science to inform smarter, faster decision making. As a Biz2 x Data Scientist, you will shape the company's data - centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. Job Responsibility: - Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times. Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes. Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers. Play a key role in the design and implementation of ongoing operational and risk reporting and analytics. Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non - banks, debt investors, equity investors and others) to analyze , classify and visualize credit - related data Perform ad hoc analys e s on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders Manage multiple projects and priorities while delivering accurate & timely results in a fast - paced environment Requirements Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred 4 - 6 years of experience in applied data science or machine learning roles. Hands - on experience with LLMs and GenAI applications . Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit - learn . Strong experience in deep learning , NLP , and generative models (e.g., VAEs, GANs, Diffusion models) . Experience with prompt engineering , fine - tuning , RAG (Retrieval - Augmented Generation) , or model distillation . Proficiency in SQL, data wrangling, and working with large datasets. Familiarity with MLOps tools (e.g., MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure). Preferred Qualifications Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc.). Experience building and deploying LLM - powered applications in production. Background in reinforcement learning , time series forecasting , or causal inference . Understanding data privacy, model fairness, and ethical AI considerations.

About Company : Our Client is a leading Indian multinational IT services and consulting firm. It provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services. The company caters to over 700 clients across industries such as banking and financial services, manufacturing, technology, media, retail, and travel & hospitality. Its industry-specific solutions are designed to address complex business challenges by combining domain expertise with deep technical capabilities. With a global workforce of over 80,000 professionals and a presence in more than 50 countries. Job Title: Process Engineer Locations: PAN INDIA Experience: 4-6 Years (Relevant) Employment Type: Contract to Hire Work Mode : Work From Office Notice Period : Immediate to 15 Days Job Description: Good Experience in understanding P&IDs with respect to various equipment, instruments, and processes. Experience in Basic Process Engineering, Safety studies, HAZOP, Risk assessment, etc and should be well versed in understanding P&IDs and process systems. Experience in understanding logic and interlocks with respect to various systems. Knowledge about various process equipment, Utility equipment like distillation, furnace, Compressor, Chiller, steam systems, etc, its operation and expected hazards during operation. Communicate with onsite/offshore team for executing the projects. Excellent in Microsoft Word/Excel/Presentation and technical writing in English.

urgent opening for production role. 📌 Opening: Executive – Production 📍 Location: Boisar (Tarapur) 💼 Experience: 3–5 years 💰 CTC: Up to ₹4.5 LPA ✅ Requirements: Experience in batch & continuous process (mandatory) Knowledge of distillation column, ETP, boiler operations Manpower handling experience Proficient in computer skills (MS Office/ERP) Qualification: B.Tech – Chemical only

Ascent Finechem is a manufacturer-exporter of fine and specialty chemicals. We supply API intermediates, aroma chemicals, and other specialty chemicals to pharmaceutical, flavors & fragrances, and performance chemical manufacturing companies worldwide. Ascent is HACCP, ISO 9001:2015, ISO 14001:2015, and ISO 45001:2018 certified, and has earned the designation of a Star Export House from the Indian government. This is a full-time on-site role for a Distillation Engineer located in Vatva, Ahmedabad. Responsibilities Efficient and safe operation of 5 distillation columns. Calculating the mass balance of every batch. Training operators to run the distillation plant. Managing the utilities required for the distillation plant. Must-Have Qualifications Diploma / B.E. / B.Tech / M.E., Chemical Engineering Minimum 5 years of work experience operating fractionating distillation plants for specialty or aroma chemicals. Expertise in the principles of different types of distillation including operating continuous distillation columns. Nice-to-have Qualifications M.Tech in Chemical Engineering Experience running manual as well as SCADA based distillation plants Location Vatva, GIDC

Your Job Koch Engineered solutions (KES) is a global leader in Mass transfer and Separation Technology and Products and solutions. We back every product with decades of proven performance, unrivalled research and development capabilities, and expert service and support. Our vision is to become the preferred partner delivering superior value by developing, integrating, and applying innovative technical and service solutions for industrial value chains. Our Team Koch Engineered Solutions (KES) is looking for a Sales and Application Engineer for the Koch-Glitsch business line, which covers mass transfer equipment’s like Trays, Structured Packing, Random Packing, Mist Eliminators, etc. What You Will Do Min. Qualification BE (Chemical) Min. Experience : Around 2 to 4 years of experience in Process Equipment Sales / Chemical / Petrochemical /Refining plant operations or technical Services. Knowledge & Skills Required with Functional Description: Handling clients in refineries, petrochemical sector, fertilizer and fine chemical sector and knowledge of their processes. Technical presentation and commercial knowledge. Knowledge of Tendering / Bidding Procedure. Written and Verbal communication, presentation and negotiation skills. Exposure to systems like Sales Force & ERP. Candidate should have Sales aptitude & desire to do estimation and optimization of costing for metallic process equipment. Should have strong fundamentals in Engineering with specific exposure to Mass Transfer and Heat Transfer Technology and Separation Technology. Experience in operations or technical services in refinery or petrochemical or chemical plants will be added advantage. Candidate should be conversant with process calculations for distillation columns, Heat Exchangers, piping, pumps, and other process equipment’s. Candidate should be conversant with the PFD’s and P&ID’s. The experience with steady state simulation software will be advantage. Should be willing to travel within India during any organizational requirement. Customer interaction, order closing, addressing technical and commercial queries with customer, Preferred to have experience in cross functional collaboration. What Will Put You Ahead Ethics and Principles consistent with our code Enthusiastic, self-motivated. and principled entrepreneur Team player. Positive attitude and good aptitude Passionate to meet customers and develop relationship Mumbai or Vadodara Local candidates are preferred / or if anyone wants to relocate to these locations. Good written and verbal communication skills. Follow company guidelines and ensure compliance At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Hiring Philosophy All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy Who We Are At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Our Benefits Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Equal Opportunities Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf “Koch is proud to be an equal opportunity workplace”.

Profile: Plant Head Company: Northern Extracts Industry: Oleoresins, Essential Oils, Spice Extracts, Nutraceuticals Location: Roopangarh, Rajasthan (on-site, plant-based role) Team Size: 50 employees Job Type: Full-time (8 AM – 6 PM), Day Shift | Experience Required: 5 to 20 years Salary: As per qualification Positions Open: Plant Head About the Company Northern Extracts is a reputed manufacturer of premium oleoresins and essential oils, serving the flavors, seasonings, and fragrance industries. Known for product quality and consistency, the company emphasizes innovation, research, and customer satisfaction. Key Responsibilities 1. Plant Operations & Production Management Plan, organize, and direct all manufacturing operations to ensure production targets are met in terms of quality and quantity. Supervise the entire plant processes – Pre-treatment (Size reduction, Roasting, Gravity separation etc) ,Steam distillation, Solvent Extraction, Supercritical CO₂ (SFE), Spray Drying. Finished Goods blending for spice essential oils and oleoresins in coordination with the Sales team to match the client approved samples. Ensure optimal utilization of raw materials, equipment, and manpower. Implement continuous process improvements to reduce RM losses, reduce solvent loss, improve yields/outputs, and increase throughput. Preparation and maintenance of management related systems in plant – MIS, Stock, Client samples system, Sales system, Internal records Guide the plant team on optimum utilization of available resources Verification of purchase requests raised by different departments for inventory management Oversee and guide the plant in production activities (from planning to execution) during the absence of the Production Manager. 2. Quality Assurance & Compliance Ensure compliance with FSSC, FSSAI, HACCP, ISO, HALAL, KOSHER and other relevant standards. Oversee and Approve QA/QC protocols from raw material inspection to final product release. Head the R&D and quality teams to resolve product or process issues. Ensure proper records are available for traceability of all materials from incoming RM to outgoing FG. Maintain documentation in line with international food safety standards. Head the Food Safety Team and lead all quality audits in plant Knowledge on QC test methods in the industry and instruments like GC, HPLC, UV, Refractometer, Polarimeter etc. Oversee and guide the plant in quality activities (from planning to testing) during the absence of the QC Manager. Collaborate as part of the technical panel to develop client-specific match samples, ensuring alignment with specified sensory, functional, and quality requirements. 3. Maintenance & Engineering Knowledge of all process equipments and utilities including Hammer Mill, Flaker, Roaster, Distillation units, Extractors, Evaporators, Stripper, Pumps, Vacuum Pumps, Dryers, Chiller, Cooling towers, RO, Softener, Boiler, ETP etc. Ensure preventive and predictive maintenance of all plant equipment. Work with the engineering team to minimize downtime and ensure operational reliability. Ensure proper dosing of chemicals are done for all utilities in order to maintain the life of the machine. Monitor and optimize electricity consumption by tracking daily usage patterns, identifying inefficiencies, and implementing energy-saving initiatives to reduce operational costs. Ensure optimal boiler performance by monitoring key operating parameters, minimizing fuel consumption, and implementing best practices for energy efficiency. Ensure timely cleaning of all utilities like storage tanks, strainers etc 4. People Management & HR Coordination Manage plant workforce, including shift in-charge, operators, technicians, and contract labor. Ensure proper training, performance management, and discipline. Promote a culture of accountability, safety, and continuous improvement. Check and verify the daily attendance of staff and submit a monthly report. 5. Supply Chain, Inventory & Logistics Coordinate with procurement to ensure timely availability of raw materials like spices, solvents, packaging materials, spares etc. Oversee in-plant logistics, storage, and dispatch of finished goods. Maintain inventory control systems. 6. EHS & Regulatory Compliance Ensure compliance with all environmental, health, and safety regulations. Enforce workplace safety standards and organize training and audits. Liaise with government bodies and inspectors for plant licensing and inspections. 7. Strategic Initiatives Support new product scale-ups and commercial trials in collaboration with R&D. Contribute to capacity expansion projects and plant upgrades. Benchmark best practices and adopt modern technologies. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹60,000.00 per year Schedule: Day shift Rotational shift Work Location: In person

Position: Mechanical Engineer Company: Raavi Green Fuels Private Limited (Ethanol Plant) Location: Bundi, Rajasthan Department: Engineering Reporting to: Plant Head Job Purpose: The Mechanical Engineer will be responsible for ensuring the smooth operation, maintenance, and reliability of all mechanical equipment and systems at Raavi Green Fuels' Ethanol Plant in Bundi. The role involves supporting continuous plant operations, minimizing equipment downtime, and enhancing mechanical system performance, while strictly adhering to safety and quality standards. Key Responsibilities: Responsible for operation, maintenance, and troubleshooting of all mechanical equipment, including pumps, compressors, gearboxes, agitators, heat exchangers, conveyors, and piping systems. Monitor mechanical system performance and address breakdowns or failures promptly to minimize downtime. Plan, schedule, and execute preventive and predictive maintenance activities to ensure high equipment availability. Coordinate with production, electrical, instrumentation, and utility teams for smooth plant operations. Supervise contractors and maintenance teams during repair, installation, or shutdown activities. Ensure compliance with company safety policies, SOPs, and statutory requirements related to mechanical systems. Maintain detailed records of maintenance activities, equipment history, and downtime analysis. Participate in root cause analysis of mechanical failures and implement corrective and preventive actions. Support continuous improvement initiatives to enhance equipment reliability and plant efficiency. Assist in spare parts management, technical procurement, and vendor coordination. Provide technical support during plant commissioning, modifications, and project execution activities. Qualifications & Experience: Education: Diploma / B.Tech / B.E. in Mechanical Engineering. Experience: 3 to 8 years of relevant experience in maintenance or project execution in an ethanol plant, distillery, chemical plant, or similar process industry. Freshers with strong technical aptitude may be considered for trainee positions. Key Skills & Competencies: ✔ Strong technical knowledge of mechanical systems and rotating equipment. ✔ Hands-on experience in preventive and breakdown maintenance. ✔ Ability to read and interpret technical drawings and P&IDs. ✔ Good understanding of safety procedures and statutory compliances. ✔ Strong troubleshooting, problem-solving, and analytical skills. ✔ Effective communication and team collaboration abilities. ✔ Knowledge of predictive maintenance techniques (vibration analysis, thermography) is desirable. Preferred Experience: Maintenance of centrifugal pumps, gearboxes, utility equipment, and piping systems. Exposure to maintenance of ethanol plant equipment and distillation systems. Familiarity with utilities like boilers, cooling towers, and air compressors. Experience in plant commissioning activities will be an added advantage. Job Location: 📍 Raavi Green Fuels Private Limited, Bundi, Rajasthan Employment Type: Full-time / Permanent

DESCRIPTION Amazon Health Services (One Medical) About Us: At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Key job responsibilities Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) Optimize and fine-tune models for production deployment, including model distillation for improved latency Drive scientific innovation while maintaining a strong focus on practical business outcomes Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits Contribute to the broader Amazon Health scientific community and help shape our technical roadmap BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience in healthcare or medical informatics Publication record in top-tier ML conferences/journals Expertise in model optimization and distributed computing Experience with AWS services and cloud computing Knowledge of healthcare data privacy and security requirements Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Title: Officer- Production Custom Field 2: 2702 Location: Bavla, Gujarat, IN Country/Region: IN State: Guja City: Bavla Company: Dishman Carbogen Amcis Limited Business Unit: Contract Manufacturing Travel Description: Experience in regulatory API plant knowledge of cGMP/EHS/Unit operations/process Vacuum distillation/Pump operations/drying etc knowledge basic knowledge of GDP Job Segment: Industrial, Law, Environmental Health & Safety, Manufacturing, Healthcare, Legal

Leading food processing Industry Role : Quality Head Experience : 10-15 Years Qualification: Bachelor or Master in food technology I ndustry Preferred : Sugar or Distillery Location : Andhra Pradesh Sankili Roles & Responsibility: Oversee and lead the QA department to ensure compliance with quality standards for sugar and alcohol production. Develop, implement, and maintain quality assurance policies, procedures, and standards. Conduct regular audits and inspections of manufacturing processes, raw materials, and finished products. Monitor and analyze quality metrics and perform root cause analysis for quality issues. Ensure adherence to local, national, and international food and safety regulations. Coordinate with Production, R&D, and Supply Chain teams to resolve quality-related issues. Lead training programs for staff on quality standards, safety, and best practices. Manage documentation, reports, and audits for compliance purposes. Stay updated with industry trends, regulatory changes, and technological advancements.

Take the responsibility of Work assigned and assist Managers/Partners in timely completion of work 2. Deal with clients for obtaining data and other details necessary for working 3. Continuous skill development 4. Candidates who have cleared Intermediate will be preferred

Delivery timelines and quality to be ensured Organisation process and systems to be followed Continuous skill development Display professional client facing proactive behaviour Imbibe MCA values and meet internal & external expectations Own and manage the assignments as per MCA standards Working to produce new solutions to create value to the clients Manage a team and delivery timelines and delivery quality Candidates with 3 to 5 years experience as Manager in Audit domain preferred