8841 Pytorch Jobs - Page 19

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

About the Role We are seeking a highly experienced and strategic AI/ML Architect to lead the design, development, and deployment of scalable artificial intelligence and machine learning solutions. As a core member of our technical leadership team, you will play a pivotal role in building intelligent systems that drive innovation and transform digital healthcare delivery across our AI Driven Telemedicine platform. Key Responsibilities Architect AI/ML systems that support key business goals, from real-time diagnosis and predictive analytics to natural language conversations and recommendation engines. Design and oversee machine learning pipelines, model training, validation, deployment, and performance monitoring. Guide selection of ML frameworks (e.g., TensorFlow, PyTorch) and ensure proper MLOps practices (CI/CD, model versioning, reproducibility, drift detection). Collaborate with cross-functional teams (data engineers, product managers, UI/UX, backend developers) to integrate AI into real-time applications and APIs. Build and maintain scalable AI infrastructure, including data ingestion, storage, and processing layers in cloud environments (AWS, GCP, or Azure). Lead research and experimentation on generative AI, NLP, computer vision, and deep learning techniques relevant to healthcare use cases. Define data strategies, governance, and model explainability/ethics frameworks to ensure compliance with regulatory standards like HIPAA. Mentor and lead a growing team of ML engineers and data scientists. Qualifications Must-Have: Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field (PhD preferred). 7+ years of experience in AI/ML development, with at least 2 years in a lead or architect role. Proven experience designing and deploying production-grade ML systems at scale. Strong grasp of ML algorithms, deep learning, NLP, computer vision, and generative AI. Expertise in Python, ML libraries (TensorFlow, PyTorch, Scikit-learn), and ML Ops tools (MLflow, Kubeflow, SageMaker, etc.). Familiarity with data engineering pipelines (Airflow, Spark, Kafka) and cloud platforms. Strong communication and collaboration skills. Preferred: Experience with healthcare data standards (FHIR, HL7) and medical ontologies (SNOMED CT, ICD). Familiarity with AI ethics, fairness, and interpretability frameworks. Startup or early-stage product development experience.

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

As a Lead Data Scientist at DeepQuanty Artificial Intelligence Labs, you will be a key member of a dynamic team in the cutting-edge space of Artificial Intelligence and Machine Learning. With 3-8 years of experience as a lead in the Computer Vision area, your expertise will be pivotal in driving innovation and solving complex problems using Deep Learning techniques. Your role will involve collaborating closely with the Product Manager to translate product requirements into actionable plans. You will play a crucial part in product blueprint discussions and create detailed Product Technical specifications. Additionally, you will lead a team of Deep Learning Engineers, guiding them towards effective research and development outcomes. The ideal candidate for this position will have a proven track record in leveraging Deep Learning techniques to tackle challenges in Images and Text domains. You should possess the ability to identify and evaluate the most suitable algorithms for specific problems, as well as translate mathematical concepts into practical technical specifications. Proficiency in TensorFlow, PyTorch, and optimization of Deep Learning models for production deployment is essential. A solid understanding of GPUs/TPUs, along with hands-on coding expertise in Python and C++, is required. While a B.Tech / M.Tech from a reputed university is mandatory, it would be advantageous to have experience in solving Optical Character Recognition problems and familiarity with Computer Vision packages like OpenCV. This position offers a unique opportunity to work in a startup environment, where your expertise in computer vision, machine learning, robotics, and control systems will be put to the test in solving challenging product development tasks. Your role will be highly visible within our rapidly growing company, with opportunities for assuming greater responsibilities as you excel in your performance. If you are a detail-oriented individual with a passion for innovation, we invite you to join our team at DeepQuanty AI Labs.,

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters We are seeking a highly experienced Computer Vision Architect with deep expertise in Python to design and lead the development of cutting-edge vision-based systems. The ideal candidate will architect scalable solutions that leverage advanced image and video processing, deep learning, and real-time inference. You will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: Architect and design end-to-end computer vision solutions for real-world applications (e.g., object detection, tracking, OCR, facial recognition, scene understanding, etc.) Lead R&D initiatives and prototype development using modern CV frameworks(OpenCV, PyTorch, TensorFlow, etc.) Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems Define architecture standards and best practices for Python-based CV pipelines Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions Stay updated with the latest advancements in computer vision, deep learning, and AI Mentor junior developers and contribute to code reviews, design discussions, and technical documentation Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD is a plus) 8+ years of software development experience, with 5+ years in computer vision and deep learning Proficient in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes) Experience working with video analytics, image annotation tools, and large-scale dataset pipelines Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services(AWS SageMaker, Azure ML, GCP AI) Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Job Title: AI Research Engineer Intern (Fresher) Reporting to: Lead – Research & Innovation Lab Location: remote/ Hybrid (Chennai, India) Engagement: 6-month, full-time paid internship with pre-placement-offer track 1. Why this role exists Stratsyn AI Technology Services is turbo-charging Stratsyn’s cloud-native Enterprise Intelligence & Management Suite —a modular SaaS ecosystem that fuses advanced AI, low-code automation, multimodal search, and next-generation “Virtual workforce” agents. The platform unifies strategic planning, document intelligence, workflow orchestration, and real-time analytics, empowering C-suite leaders to simulate scenarios, orchestrate execution, and convert insight into action with unmatched speed and scalability. To keep pushing that frontier, we need sharp, curious minds who can translate cutting-edge research into production-grade capabilities for this suite. This internship is our talent-funnel into future Research Engineer and Product Scientist roles. 2. What you’ll do (core responsibilities) % FocusKey Responsibility 30 %Rapid Prototyping & Experimentation – implement state-of-the-art papers (LLMs, graph learning, causal inference, agents), design ablation studies, benchmark against baselines, and iterate fast. 25 %Data Engineering for Research – build reproducible datasets, craft synthetic data when needed, automate ETL pipelines, and enforce experiment tracking (MLflow / Weights & Biases). 20 %Model Evaluation & Explainability – create evaluation harnesses (BLEU, ROUGE, MAPE, custom KPIs), visualize error landscapes, and generate executive-ready insights. 15 %Collaboration & Documentation – author tech memos, well-annotated notebooks, and contribute to internal knowledge bases; present findings in weekly research stand-ups. 10 %Innovation Scouting – scan arXiv, ACL, NeurIPS, ICML, and startup ecosystems; summarize high-impact research and propose areas for IP creation within the Suite. 3. What you will learn / outcomes to achieve Master the end-to-end research workflow: literature review → hypothesis → prototype → validation → deployment shadow. Deliver one peer-review-quality technical report and two production-grade proof-of-concepts for the Suite. Achieve a measurable impact (e.g., 8-10 % forecasting-accuracy lift or 30 % latency reduction) on a live micro-service. 4. Minimum qualifications (freshers welcome) B.E./B.Tech/M.Sc./M.Tech in CS, Data Science, Statistics, EE, or related (2024-2026 pass-out). Fluency in Python and at least one deep-learning framework (PyTorch preferred). Solid grasp of linear algebra, probability, optimization, and algorithms. Hands-on academic or personal projects in NLP, CV, time-series, or RL (GitHub links highly valued). 5. Preferred extras Publications or Kaggle/ML-competition record. Experience with distributed training (GPU clusters, Ray, Lightning) and experiment-tracking tools. Familiarity with MLOps (Docker, CI/CD, Kubernetes) or data-centric AI. Domain knowledge in supply-chain, fintech, climate, or marketing analytics. 6. Key attributes & soft skills First-principles thinker – questions assumptions, proposes novel solutions. Bias for action – prototypes in hours, not weeks; embraces agile experimentation. Storytelling ability – explains complex models in clear, executive-friendly language. Ownership mentality – treats the prototype as a product, not just a demo. 7. Tech stack you’ll touch Python | PyTorch | Hugging Face | TensorRT | LangChain | Neo4j/GraphDB | PostgreSQL | Airflow | MLflow | Weights & Biases | Docker | GitHub Actions | JAX (exploratory) 8. Internship logistics & perks Competitive monthly stipend + performance bonus. High-end workstation + GPU credits on our private cloud. Dedicated mentor and 30-60-90-day learning plan. Access to premium research portals and paid conference passes. Culture of radical candor, weekly brown-bag tech talks, and hack days. Fast-track to full-time AI Research Engineer upon successful completion. 9. Application process Apply via email: Send résumé, brief statement of purpose, and GitHub/portfolio links to HR@stratsyn.ai . Online coding assessment: algorithmic + ML fundamentals. Technical interview (2 rounds): deep dive into projects, math, and research reasoning. Culture-fit discussion: with Research Lead & CPO. Offer & onboarding – target turnaround < 3 weeks.

Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, You Can Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Job Title: Senior / Lead Data Scientist Locations: Hyderabad Notice Period : Immediate to 15 Days Skills : Data Science, Python, Regression, Classification, Google Cloud Platform Domain : CPG Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. What do we expect? 6-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas. You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Description We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About The Team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. communication and collaboration skills to effectively work with cross-functional teams. Preferred Qualifications Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. 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. Company - ADCI HYD 13 SEZ Job ID: A3046719

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies. Core Responsibilities Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings. Test agent interactions, document behaviors, and help improve reliability and performance. Assist with agent integration, system testing, and deployment. Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks. Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables. Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling. Optimize AI models for on-premise infrastructure with a focus on performance and security compliance. Stay abreast of the latest trends in AI and contribute to continuous improvements. Mentor junior AI/ML engineers and contribute to documentation and process standardization. Contribute to the broader AI agent ecosystem and cross-functional collaboration. Required Experience Strong Python programming skills and experience with full-stack development. Experience with large language models (LLMs) like ChatGPT, Claude, etc. 6 months to 1 year as AI engineer. Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition. Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage. Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases. Ability to write clear and thorough documentation. Enthusiasm for emerging AI technologies and open-source collaboration. Nice To Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, etc.) Basic DevOps knowledge and experience in scalable deployments. Experience with API development and RESTful services. Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate). Prior contributions to open-source AI projects or communities. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

Job Summary: This is a critical technical architectural role for an experienced leader who will be instrumental in enhancing our product suite by designing and integrating advanced AI and blockchain capabilities into our existing Java Spring Boot microservice-based payment platform. The ideal candidate will possess a deep, hands-on understanding of all major payment rails, a proven track record in architecting and implementing complex, high-performance financial systems, and an expert-level grasp of AI/Machine Learning and blockchain technologies and their practical applications in FinTech. This individual will be a key driver in shaping the future of our products, ensuring we remain competitive, secure, and innovative in the rapidly evolving payments landscape. Key Responsibilities: AI/Machine Learning Design & Implementation: Lead the design, development, and deployment of sophisticated AI/ML models for critical FinTech applications, including: Implementing real-time, adaptive machine learning models for advanced fraud detection and prevention across diverse payment channels. Utilizing AI for intelligent payment orchestration and routing, optimizing for success rates, cost efficiency, and performance. Developing AI-driven predictive analytics for comprehensive risk management and anomaly detection. Exploring and integrating AI solutions for enhanced customer experience and operational efficiency. Blockchain Solution Architecture: Architect, design, and oversee the implementation of secure, scalable, and high-performance blockchain solutions that enhance existing payment functionalities and enable new services (e.g., cross-border payments, digital asset management, secure data sharing, tokenization). Payment Rail Mastery: Serve as the foremost subject matter expert on all major payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, faster payments, card networks, emerging digital currencies), understanding their technical intricacies and ensuring seamless, optimized integration within our microservices platform. ISO 20022 & Regulatory Alignment: Collaborate closely with the ISO 20022 middleware team to ensure that all AI and blockchain integrations adhere to evolving ISO MTMX SWIFT mandates and other critical regulatory requirements (e.g., AML, KYC, GDPR). Technical Leadership & Mentorship: Provide strong technical leadership, architectural guidance, and mentorship to development teams, fostering a culture of innovation, technical excellence, and continuous learning in AI, blockchain, and payment technologies. System Design & Optimization: Lead the architectural design and detailed technical specifications for new features and product enhancements within our microservices architecture, with a relentless focus on scalability, security, reliability, performance, and the explainability of AI models. Research & Development: Spearhead research and development initiatives, including hands-on proof-of-concept projects, to explore nascent AI and blockchain technologies and assess their practical applicability to our product roadmap. Data Strategy & Governance: Partner with data engineering and analytics teams to ensure robust data quality, availability, and governance, crucial for effective AI model training, deployment, and ongoing performance, leveraging our diverse data stores. Cross-Functional Collaboration: Work collaboratively with product management, business development, and other engineering teams to translate complex business requirements into elegant, high-impact technical solutions. Industry Vigilance: Continuously monitor industry trends, technological advancements, and regulatory changes across payments, AI, and blockchain. Required Skills and Qualifications: 10+ years of progressive experience in software engineering, solution architecture, or technical leadership roles within the FinTech or payments industry. Deep and demonstrable understanding of various payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, credit/debit card networks, real-time payments, cross-border payments, ISO 20022) and their underlying technical specifications. Expert-level knowledge and extensive hands-on experience with AI/Machine Learning concepts and frameworks, including: Practical application of machine learning algorithms (supervised, unsupervised, reinforcement learning). Proficiency in Deep Learning and Neural Networks. Experience with Natural Language Processing (NLP) for financial message analysis. Strong familiarity with leading AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Demonstrated experience with MLOps principles and deploying AI models into production environments at scale. Expert-level knowledge and hands-on experience with blockchain technologies and Distributed Ledger Technologies (DLT), including: Practical experience with platforms suchs as Hyperledger Fabric, Corda, Ethereum, or similar enterprise-grade DLTs. Proficiency in smart contract development (e.g., Solidity, Go, Java, Rust). Deep understanding of consensus mechanisms, cryptographic principles, and blockchain security best practices. Familiarity with tokenomics, digital assets, and central bank digital currencies (CBDCs). Proven architectural design skills for building highly scalable, resilient, secure, and performant distributed systems, specifically within a microservices paradigm. Proficiency in multiple core programming languages critical for FinTech, AI, and Blockchain development, with a strong emphasis on: Java: Extensive experience with Spring Boot for enterprise-grade, high-throughput financial systems and backend microservices. Python: Essential for AI/ML development, data science, and backend microservices. Go (Golang): Highly desirable for high-performance, concurrent systems, and blockchain infrastructure components. Solidity/Rust: For direct smart contract development on relevant blockchain platforms. Additional desirable: C++ for performance-critical components. Extensive experience with modern architectural patterns: microservices architecture, robust APIs (REST, gRPC), and event-driven architectures. Strong expertise with database technologies, specifically MongoDB and PostgreSQL, including schema design, optimization, and scaling strategies for high-volume financial data. Hands-on experience with major cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Exceptional problem-solving, analytical, and critical thinking skills. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or a related quantitative technical field. Preferred Qualifications: Prior experience in a high-growth FinTech startup or a fast-paced, agile development environment. Active contributions to open-source AI or blockchain projects, or participation in relevant FinTech communities. Experience with big data technologies (e.g., Apache Kafka, Spark). Certifications in cloud architecture, AI/ML, or blockchain platforms.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 30th July 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 30th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Roboyo is not a typical technology consultancy We have been at the forefront of Business Process Automation since the sector began, less than a decade ago, We started as pioneers Today, we are the worlds largest specialist Intelligent Automation company and remain at the cutting edge Our growth, success, and contribution to the success of our clients are a result of one thing our people, We are united by our purpose, to take whats possible to the next level for our clients, our business, and for each other, At Roboyo, you will experience a fun and innovative work environment with a dynamic and ambitious team passionate about technology and automation, AI Engineer (Generative AI / Agentic AI) Mid-Level Role Overview: The AI Engineer (Gen AI / Agentic AI) will work on building AI solutions using Generative AI models (like LLMs) and agent-based frameworks The role requires strong Python skills, cloud technology experience (Azure, AWS, GCP), and a hands-on approach to building intelligent applications like chatbots and AI agents The position is hybrid, working on client projects and internal prototypes, Key Responsibilities: Develop AI Solutions: Design and test AI-driven applications using Generative AI models ( e-g , GPT-based systems), Cloud Deployment: Leverage cloud services (Azure, AWS, GCP) to deploy models and AI solutions, ensuring scalability, Collaboration: Work with solution architects and data engineers to align AI solutions with client needs Participate in agile development cycles, Internal Innovation: Contribute to Roboyos internal AI prototypes and knowledge sharing, Required Qualifications: 3-6 years in software development with AI/ML experience, Strong Python skills and familiarity with AI libraries ( e-g , TensorFlow, PyTorch), Experience deploying AI solutions on cloud platforms (Azure, AWS, GCP), Hands-on knowledge of Generative AI models (LLMs, GPT), Good data handling and integration skills, Preferred Qualifications: Exposure to automation platforms (UiPath, Power Platform), Familiarity with web development, APIs, or conversational AI (Rasa, Microsoft Bot Framework), AI certifications are a plus, We are an equal opportunity employer and value diversity at our company We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo global/data-privacy/ Show

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Primary Skill Set: Microservices LLM, Agentic AI Framework, Predictive modelling

Job Description Summary The MR ACAI team is looking to hire a candidate with an advanced degree with a specialization in Deep Learning and proven credentials to develop applications in a domain of their prior experience, GE HealthCare is a leading global medical technology and digital solutions innovator Our purpose is to create a world where healthcare has no limits Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world, Job Description Roles & Responsibilities Would you like to be part of a team that develops innovative applications for diagnostic MRI We are looking for enthusiastic Masters or PhD students who would like to do their internship in our department focused on MRI Advanced Concepts and Applications Innovations (ACAI), In this position, you will learn more about DL-based application development for medical imaging devices and contribute towards developing innovative technology that focus on image quality, speed and/or efficient workflow, You will get insights into different aspects of the application development process, including requirements engineering, design, implementation, testing and documentation, Our products include complex algorithms for image reconstruction, image processing and analysis which run on specialized compute as well as Linux systems, As part of your daily work, you will also support test environments for verification and validation activities execute manual tests, or create automated tests using scripting languages such as Python, analyze test results and collaborate with experts from various fields (including research, physics, biomedical sciences), The goal of the internship is to gain experience in application development and testing, You should expect to take over responsibility early on in the project(s), This includes requirement analysis, design, coding, testing and reporting progress/results to the supervisor, During the internship we will provide you with several opportunities to present your work Of course, you can also take advantage of these opportunities outside of the internship and give talks at universities or other events, Desired Qualifications Pursuing an advanced degree in computer science or electrical engineering with a strong focus in signal processing and mathematics with a working knowledge of C++, Python and/or Matlab programming languages, Demonstrable knowledge of use of Pytorch &/or TensorFlow A keen interest in medical imaging technologies Good communication skills Good English language skills (written and spoken) Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law, We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership always with unyielding integrity, Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities Our salary and benefits are everything youd expect from an organization with global strength and scale, and youll be surrounded by career opportunities in a culture that fosters care, collaboration and support Additional Information Relocation Assistance Provided: Yes Show

Our Company Changing the world through digital experiences is what Adobes all about We give everyone?from emerging artists to global brands?everything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen, Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards, Adobe is proud to be an Equal Employment Opportunity employer We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law Learn more about our vision here, Adobe aims to make Adobe accessible to any and all users If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe or call (408) 536-3015, Show

Job Description Some careers shine brighter than others, If youre looking for a career that will help you stand out, join HSBC and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further, HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions, We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems, Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams, In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems, Preprocess and analyze large datasets to extract meaningful insights, Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc) for training and deploying ML models, Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems, Monitor and maintain deployed models to ensure performance and accuracy over time, Research and implement state-of-the-art machine learning techniques and tools, Document processes, experiments, and results for reproducibility and knowledge sharing, Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain e-g Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience 5+ years of relevant experience in ML technologies mentioned below, Excellent problem-solving and communication skills, Strong experience in Python (3 x), Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes, Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets, Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures, Excellent interpersonal, presentation and analytical skills, Familiarity with MLOps practices for model deployment and monitoring, Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore Youll achieve more when you join HSBC, hsbc /careers HSBC is committed to building a culture where all employees are valued, respected and opinions count We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website, Issued by HSBC Software Development India Show

As our ML Engineer, you will spearhead the development of core machine learning capabilities focused on candidate screening, speech recognition, voice-to-text intelligence, matching, and scoring. You'll also contribute to NLP/LLM models that power the intelligence behind our end-to-end AI hiring platform. Responsibilities AI/NLP Product Development: Extend NLP and LLM models for candidate understanding, voice transcription enrichment, and sentiment/intent analysis. Performance Optimization: Ensure low latency, high accuracy, and scalable deployment of models in production. Cross-functional Collaboration: Partner with engineering, product, and design to embed intelligent voice experiences into our product. Requirements 2+ years of experience in ML/AI engineering. Strong programming skills in Python, with hands-on experience using TensorFlow, PyTorch, and Hugging Face. Solid understanding of both traditional ML and NLP for audio and language. Experience deploying models in real-world, production environments with cloud infrastructure (AWS/GCP/Azure). Comfort working with unstructured audio, large-scale datasets, and real-time or streaming architectures. Hands-on experience with cloud services (AWS, GCP, or Azure) for AI/ML deployment. Nice To Have Experience in speech or voice-related AI applications is a plus. Experience working with LLMs and transformer-based NLP architectures (e. g., BERT, GPT, Whisper). Familiarity with audio augmentation, noise reduction, and multilingual speech processing. Background in building AI products for interviews, hiring, or HR tech. This job was posted by Zenobia Diana Mccoy from Peoplebox.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required., 15 years full time education

Backend Development The core responsibilities for the job include the following: Design, develop, and maintain scalable backend systems and APIs using modern technologies and best practices. Work closely with front-end developers to integrate user-facing elements with server-side logic. Optimize performance, scalability, and reliability of the backend architecture. Develop and maintain RESTful services and microservices. Machine Learning Integration (if Applicable) Collaborate with data scientists to integrate machine learning models into backend systems. Work with large datasets, optimizing data processing pipelines for machine learning tasks. Implement algorithms and services for predictive models and AI-driven features. Database Management Work with SQL and NoSQL databases (e. g., MySQL, PostgreSQL, MongoDB) to design efficient database schemas and write complex queries. Ensure data integrity, consistency, and security within backend systems. Testing And Debugging Write unit and integration tests to ensure high-quality code and system reliability. Identify and fix performance bottlenecks or bugs, optimizing both backend code and database interactions. Collaboration Work in an agile environment, participating in sprint planning, stand-ups, and code reviews. Collaborate with cross-functional teams, including front-end developers, data scientists, and product managers, to define product features and system architecture. Requirements 1+ years of professional experience as a Backend Developer or similar role. Experience in web development, including building APIs and microservices. Exposure to machine learning concepts and integration into production systems is a plus. Technical Skills Proficient in at least one backend language (Python, Java, Node.js, etc. ). Familiarity with web frameworks (e. g., Django, Flask, Spring Boot, Express.js ). Knowledge of RESTful APIs, microservices architecture, and cloud computing platforms (AWS, Google Cloud, Azure). Experience with version control (Git). Database Experience with relational and non-relational databases. Proficiency in SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, etc. ) Machine Learning (Preferred) Understanding of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc. ). Familiarity with cloud-based machine learning tools and platforms. Other Skills Good communication skills and the ability to work in a collaborative team environment. Eagerness to learn new technologies and tackle complex problems. This job was posted by Megha Agarwal from Refactor Academy.

We are seeking a Data Scientist with a strong background in enterprise-scale machine learning, deep expertise in LLMs and Generative AI, and a clear understanding of the evolving Agentic AI ecosystemThe ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. The Core Responsibilities For The Job Include The Following ML and Predictive Systems Development: Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs And Generative AI Build and fine-tune LLM-based solutions (e. g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects, applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e. g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI And Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures, task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration And Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Requirements Master's or PhD in Computer Science, Data Science, Statistics, or related field. 5-8 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e. g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e. g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices, including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments. This job was posted by Akshay Kumar Arumulla from Softility.