1644 Deep Learning Jobs - Page 42

Job Title: Senior Architect AI Platform & Engineering Location: Bangalore Mode: Work from Office Job Summary: We are seeking an experienced Senior Architect AI Platform & Engineering to lead the architectural design and technical strategy of our AI-driven platform. The ideal candidate will have a deep understanding of AI/ML frameworks, AI model deployment, cloud platforms, distributed computing, and solution architecture. This role demands a strong background in solution architecture and hands-on expertise in AI/ML technologies, ensuring the scalability, security, and efficiency of our AI products and platform. Key Responsibilities: 1. AI Platform and Product Architecture: • Define and design the end-to-end architecture of an AI-driven platform, ensuring scalability, reliability, and security. • • • • Architect and design AI/ML pipelines, inference engines, and model serving infrastructure. Develop microservices-based architecture to support AI workloads and data-driven applications. Ensure seamless integration of AI models into the platform and applications. Define and implement MLOps best practices to streamline AI/ML lifecycle management. 2. AI/ML Frameworks & Model Deployment: • Work with TensorFlow, PyTorch, Hugging Face, ONNX, and other AI frameworks to optimize model training and deployment. • • • Architect model-serving solutions using KServe, TensorFlow Serving or equivalent. Optimize AI model performance for low-latency, high-throughput inference. Implement AI governance and compliance frameworks for responsible AI practices. 3. Cloud & Infrastructure: • • • • Design AI platform solutions for AWS, OCI, GCP, and hybrid/multi-cloud environments. Leverage Kubernetes, Docker, and serverless computing to manage AI workloads efficiently. Implement data lake, feature store, and real-time analytics architectures. Design and optimize GPU/TPU-based infrastructure for AI workloads. 4. Solution Architecture & Engineering Leadership: • • Provide technical leadership in designing AI solutions, working closely with product managers, data scientists, and engineering teams. Collaborate with product management, data scientists, and engineering teams to align AI architecture with business objectives. • • • • Develop high-level and detailed solution architecture for AI-driven applications and platforms. Lead proof-of-concepts (PoCs) and pilot projects to validate AI-driven solutions. Provide technical mentorship and guidance to engineering teams. Conduct architectural reviews and ensure adherence to best practices and industry standards. 5. AI Security & Compliance: • • • Design AI architectures with a strong focus on data security, privacy, and compliance (GDPR, HIPAA, SOC2 etc.). Implement secure model training, explainability (XAI), and adversarial attack mitigation techniques. Ensure secure API integrations for AI models and services. Required Qualifications & Skills: Key Technical Skills: • • • • • • • AI/ML Architecture: Proven expertise in designing scalable AI/ML architectures, including deep learning, reinforcement learning, NLP, and computer vision. Cloud & Infrastructure: Hands-on experience with cloud-native architectures on AWS, Google Cloud, and Azure. Containerization & Orchestration: Proficiency in Docker, Kubernetes, and container orchestration for scalable AI/ML deployments. Data Engineering & MLOps: Strong understanding of data pipelines, big data management (Kafka, Spark, Hadoop), and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). Microservices & APIs: Skilled in designing high-performance, scalable, and maintainable microservices architectures. Security & Compliance: In-depth knowledge of AI security best practices, model governance, encryption, and access control in cloud and on-prem environments. DevOps & CI/CD: Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated AI/ML deployment workflows. • • LLMs & Generative AI: Exposure to Large Language Models (LLMs) and Generative AI applications. Enterprise AI & Product Management: Experience in developing and managing AI-driven enterprise solutions and AI product lifecycle management. Experience & Qualifications: • • • • • • • Experience: Minimum 7 years of experience in software engineering, AI/ML architecture, and platform engineering, with at least 5 years in as an architect. Educational Qualification: Masters degree in Computer Science, Engineering, AI, or a related technical field. Architecture & Design: Proven experience in designing and architecting scalable, distributed, and secure platforms for AI/ML applications at scale. AI/ML Expertise: Strong background in developing and deploying machine learning models in production, and experience with AI frameworks such as TensorFlow, PyTorch, and Keras. Cloud Expertise: Hands-on experience with cloud-native architecture, containerization, and serverless computing in cloud environments. Leadership: Proven experience in leading technical teams, mentoring engineers, and driving architectural decisions across large-scale projects. Certifications in cloud platforms (AWS, Azure, GCP) or AI-related technologies. Soft Skills & Leadership: • • Strong problem-solving and analytical skills. Ability to communicate technical concepts effectively to both technical and non-technical stakeholders. • • Experience leading and mentoring engineering teams. Ability to collaborate with cross-functional teams, including product, engineering, and data science teams. • Strong documentation and presentation skills. Why Join Us? • • • • Work on cutting-edge AI/ML technologies in a fast-paced and innovative environment. Collaborate with industry experts, data scientists, and AI researchers. Competitive compensation and career growth opportunities. A culture of continuous learning, innovation, and excellence. If you are passionate about AI and want to drive the next-generation AI platforms, we would love to hear from you!

Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices — including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

Job Summary: We are looking for a highly motivated and analytical Data Science trainer to join our team. Key Responsibilities: Collect, clean, and pre-process structured and unstructured data from multiple sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Build, evaluate, and deploy machine learning models for predictive and prescriptive analytics. Present findings through data visualizations, reports, and presentations to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to define and solve real-world problems. Stay up-to-date with the latest industry trends, tools, and techniques in data science and machine learning. Required Skills: Strong programming skills in Python (preferred) or R. Solid understanding of statistics, probability, and machine learning algorithms. Experience with data manipulation tools (Pandas, NumPy) and data visualization libraries (Matplotlib, Seaborn, Plotly). Proficiency in SQL and working with relational databases. Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras). Experience with version control tools (e.g., Git).

Alorica India Private Limited is looking for Learning Specialist to join our dynamic team and embark on a rewarding career journey. Diagnosing and treating illnesses, medical conditions, and injuries. Ordering, performing, and interpreting diagnostic tests. Collecting, recording, and maintaining patients' information and histories. Prescribing and administering treatments, therapies, medications, vaccinations, and other specialized medical care. Explaining procedures and discussing test results or prescribed treatments with patients and family members. Monitoring patients' conditions and progress. Directing, coordinating, consulting with, and referring patients to nurses, students, assistants, specialists, therapists, and other medical staff. Advising patients, parents, and guardians on diets, activities, hygiene, and disease prevention. Conducting research and remaining up to date on current trends, discoveries, and developments in the field

Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Must Have Skills Solid understanding of python Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX Experience with natural language processing (NLP) and machine learning (ML) Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Familiarity with Prompt Design and prompt tuning for Generative AI models Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI Exposure and familiarity in using BigQuery (Basic understanding) Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain Strong communication and teamwork skills Good to Have Skills Excellent problem-solving and analytical skills Prior experience with developing conversational apps/chatbots Prior experience of working in Media domain recommendation systems Qualifications and Prior Experience 4-6+ years of experience in AI development Experience with Google Cloud Platform specifically delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions Experience with Bert and Transformer models Experience with Agile development Gcp, Gen Ai

Job Title Lead Data Scientist Job Description Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world. You light the way. More about the role we're looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (eg Finance, Sales, Marketing, Supply Chain, etc). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders. you'll be part of the Signify s Enterprise Data & Analytics team, based in Bangalore. More about you Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything we'll do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching

Hiring For Machine Learning (AI) Bangalore Hands on experience of ML/NLP/Deep Learning and Gen AI concepts, Good knowledge of Python programming and AI/Model development, Good understanding of Cloud (AWS/Azure), Should have worked on classification problem solving in Data science, knowledge of GenAI concepts, theories, and models Must Have : ML, NLP, DL, Gen AI, AWS/Azure

Select with space bar to view the full contents of the job information. Senior Researcher - Multimodal Lab Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Researcher - Multimodal Lab Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. Dolby s research division is looking for an AI researcher to join Dolby s research efforts to develop the next generation of AI based multimodal technologies. The candidate will work with Dolby s world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies to drive new interactive and immersive experiences. As a part of an international team, the senior Generative AI Researcher will work on ideas exploring new horizons in multimodal analysis, processing, and generation. The researcher is responsible for performing fundamental new research, transferring technology to product groups, draft patent applications, and publish papers. Summary Dolby s research division is currently looking for a talented, self-motivated AI researcher to push the boundaries of the state-of-the-art in media technologies. An ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves staying up to date with the latest literature and driving innovation by implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning.. Consequently, knowledge or experience in any/all the following are helpful: Generative modeling for audio and video applications (diffusion models, autoregressive models, masked generative transformers, etc.). Multimodal semantic understanding and multimodal reasoning. Multimodal representations (that include audio and/or video). Multimodal AI architectures, with a focus on generating audio and/or video (text-to-audio, text-to-video, image-to-audio, etc.). AI-driven enhancement, processing, and generation (for audio and/or video applications). Exposure to audio and video applications (source separation, text-to-speech, music generation, image generation, image captioning, question answering, etc.) With the explosion of large language models and natural language processing, the candidate will work closely with Dolby s Machine Perception and Reasoning team to join a team of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. You will focus on the creation and implementation of multimodal AI technologies from the underlying theoretical concepts to the development of prototypes and demonstrations, with the goal to create new experiences. The role will involve prototyping inspiring experiences that explore a complement of modalities. These technologies will be used to extend immersion and interaction, so the candidate should be willing to explore empirical refinement of the user experience. Main responsibilities: Work closely with other domain experts to refine and execute Dolby s technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions and enhance existing applications. Push the state-of-the-art and develop intellectual property. Mentor interns on novel research problems. Publish papers in top-tier conferences and journals. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements : Ph.D. in computer science or similar, with a focus on deep learning. Experience in AI applied to audio and/or video is a requirement. Technical knowledge and experience in generative modeling for audio (music, speech, sfx) or video. Strong publication record, with publications in top-tier domain specific conferences (CVPR, ICCV, ECCV, ICASSP, ISMIR), and/or machine learning conferences (e.g., NeurIPS, ICLR, ICML). Deep knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch) Ability to envision new technologies and turn them into innovative products. Creativity

JD For Lead Data Scientist Job Location : Indore, Pune, Hyderabad & Delhi Designation: Lead Data Scientist We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Job Type: Full-time Responsibilities: End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Required Skills: LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. Knowledge of Python ML stack and FastAPI. Strong understanding of security and cloud optimization.

Job Title: Data Scientist (AIML) Experience: 5 - 14 Years | Work Type: Full Time | Location: Chennai,Bangalore & Kochi Skill Set: AI,Machine Learning,NLP,Gen AI Job Description: Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services Responsibilities: Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Align data projects with organizational goal Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Qualification & Other Attributes: 5-15 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge and experience in Large Language Models (LLM) Strong knowledge on Generative AI Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc (Any 3 or 4) Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Good knowledge in Explainable AI Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net Who We Are and What We Do Aspire Systems is a global technology services firm serving as a trusted technology partner for more than 250 customers across the globe. Aspire works with the world's most innovative enterprises in Banking, Insurance, Retail and ISVs, helping them leverage technology to transform their business in the current digital landscape. Aspire’s proven approach to Software Engineering & Digital Technologies helps companies run smart business models. Aspire’s core philosophy of ‘Attention. Always.’ communicates its belief in lavishing care and attention to its customers and employees.

Skills: 3-8 of experience with Python for data analysis and modeling. Strong understanding of machine learning fundamentals , including supervised and unsupervised techniques. Hands-on experience with ML libraries such as scikit-learn , pandas , and NumPy . Comfortable working with real-world datasets, data cleaning, and preprocessing. Curious, analytical mindset with a passion for solving research and data challenges. Ability to break down problems, explore data patterns, and assist in delivering model-driven solutions. Exposure to working with unstructured or semi-structured data (text, PDFs, etc.) is a plus. Exposure to cloud platforms (AWS, GCP, Azure). Familiarity or experience with GenAI tools such as LangChain , LangGraph , or CrewAI . Understanding or hands-on experience with LLM-based projects .

Job Description At GKM IT, data isnt just numbersits insight, innovation, and the foundation of intelligent systems. We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you’ll work on high-impact problems using advanced machine learning techniques. You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projects—from research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain Mentor and guide junior data scientists and interns in executing real-world projects Design and build machine learning and deep learning models to solve complex business challenges Work collaboratively across teams to turn data into decisions, and models into products Strong foundation in Statistics and Probability Advanced proficiency in Python for data science and ML workflows Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications Ability to turn theoretical models into production-ready code with clarity and precision Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

Job Description At GKM IT, data isnt just numbersits insight, innovation, and the foundation of intelligent systems. We’re looking for a Data Scientist - Senior II who’s ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you’ll work on high-impact problems using advanced machine learning techniques. You’ll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projects—from research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain Mentor and guide junior data scientists and interns in executing real-world projects Design and build machine learning and deep learning models to solve complex business challenges Work collaboratively across teams to turn data into decisions, and models into products Strong foundation in Statistics and Probability Advanced proficiency in Python for data science and ML workflows Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications Ability to turn theoretical models into production-ready code with clarity and precision Benefits We don’t just hire employees—we invest in people. At GKM IT, we’ve designed a benefits experience that’s thoughtful, supportive, and actually useful. Here’s what you can look forward to: Top-Tier Work Setup You’ll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. Flexible Schedules & Remote Support Life isn’t 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. Quarterly Performance Bonuses We don’t believe in waiting a whole year to celebrate your success. Perform well, and you’ll see it in your pay check—quarterly. Learning is Funded Here Conferences, courses, certifications—if it helps you grow, we’ve got your back. We even offer a dedicated educational allowance. Family-First Culture Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we’re here for life outside work. Celebrations & Gifting, The GKM IT Way Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it’s always celebration season here. Team Bonding Moments We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. Healthcare That Has You Covered Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn’t be optional. Extra Rewards for Extra Effort Weekend work doesn’t go unnoticed, and great referrals don’t go unrewarded. From incentives to bonuses—you’ll feel appreciated.

locationsBangalore - Carinaposted onPosted 4 Days Ago job requisition idR-043684 What You Will Do Lead and manage a team of software engineers working as part of the PyTorch upstream community Deliver PyTorch features and enhancements in support of Red Hats AI portfolio Collaborate with partners who are both consumers and contributors of the team's deliverables Provide a focus on quality and optimization of the build environments Foster a culture of innovation, collaboration, and continuous learning Manage project timelines & resources Communicate technical plans and progress to stakeholders What You Will Bring Hands-on experience with PyTorch and Open Source communities Experience in managing software engineering teams Excellent leadership, communication, and project management skills Experience with open-source software development and communities Experience with Agile development methodologies Familiarity with CI/CD pipelines and automated testing About Red Hat is the worlds leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Applied Materials India is looking for an Application Engineer to join our team on Yi eld Technology Group ( YTG ). YTG is an innovative platform that develops and produces high-precision electron optical devices (electron microscopes) and advanced test systems utilizing e-beam technology for display and semiconductor advanced packaging industry. YTG is working in an internationally networked setup, with system platform design and e-beam technology development being aligned between multiple development sites located in Germany, Taiwan, and India, and with its manufacturing located in Taiwan and Germany (but with a global sourcing approach), to best serve our customers located in Asia, the USA and Europe." Roles and Responsibility Understand and translate market requirement to product spec ifications. Work with algorithm, system, software and other cross functional teams to analyze alternative solutions and provide data for decision making. Tool performance with gap/ limitation analysis to create new methodologies in order to optimize system performance for specific application . Support customer & field issues driving demos and adoption of developed tools/ features. Qualifications Master/Integrated Dual Degree/PhD scholars from premier academic institutions with 2-4 years experience, specialization in Materials Engineering/Microelectronics/Chemical Engineering/Engineering Physics / Mechatronics Our Ideal Candidate Sound fundamentals of semiconductor device physics and process knowledge (deposition, etching, etc.) Requires 70% travel on short notice to leading semiconductor chip manufacturing fabs overseas and Applied Materials headquarters Detail oriented, with strong analytical skill, problem solving and excellent communication skills, strive to get to the deep technical details Collaborate with cross-functional teams, strong documentation and presentation skill. Additional Qualifications F amiliarity of working in a semiconductor fab and experience in interfacing with field support engineers is highly desirable. Understanding of Metrology process and requirements in IC manufacturing is highly desirable. Good programming skills and hands on experience in Python. ML/DL knowledge will be an advantage. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Key Responsibilities Develop or improve an algorithmic feature or a Matlab (system or product) feature, including research, design, development and implementation & proliferation accompanying in accordance with project budgets and time schedules. Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains Provide information needed for construction of work plans for his own features Document algorithmic development, take part in planning and accompany implementation, integration and testing of an algorithmic module Interact with internal and external customers to assist in gap analysis, activity definitions, data collection and accompany integration, testing and proliferation of algorithmic solutions Understand system and applicative environment regarding own feature, take part in system definitions Functional Knowledge Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities Business Expertise Understands key business drivers; uses this understanding to accomplish own work Leadership No supervisory responsibilities but provides informal guidance to new team members Problem Solving Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents Impact Impacts quality of own work and the work of others on the team; works within guidelines and policies Interpersonal Skills Explains complex information to others in straightforward situations Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Not Specified Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Senior Software Architect About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. About PDC Applied Materials SW & AI Group leads the development of image processing systems, which are integrated in a wide range of products. These highly distributed systems capture the images from high-speed scanning systems and perform complex image processing algorithms to detect defects on memories and processors chips. Role Description As a Senior Software Architect, you will be responsible for designing and implementing complex software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural designs that meet business needs. Your primary focus will be on ensuring that the software systems are scalable, reliable, and maintainable. Key Responsibilities Architect and design software solutions that align with business goals and technical requirements. Collaborate with cross-functional teams to understand business needs and translate them into architectural designs. Develop and maintain architectural guidelines, standards, and best practices. Conduct technical reviews and provide guidance to software engineers during the development process. Identify and mitigate technical risks and issues throughout the software development lifecycle. Evaluate and recommend appropriate technologies and frameworks to meet project requirements. Lead the design and implementation of complex software components and systems. Ensure that software systems are scalable, reliable, and maintainable. Mentor and coach junior software architects and engineers. 12-15 yrs. of experience with B. Tech / MTech /Ph. d in Electronics / Computer Science Proven experience as a Software Architect or similar role with experience of 10+ yrs. in product development Strong fundamentals and hands-on experience in C++/C programming. Good Knowledge of python programming and libraries (Ex; NumPy, OpenCV, pandas etc.) Practical Experience with GPU/CPU Optimization techniques like Overclocking/Memory Optimization/Load. Balancing/Hyperthreading/Simultaneous multithreading (SMT). Excellent problem-solving skills and ability to work independently and as part of a team. Advantage Knowledge on Semiconductor domain. Knowledge of digital signal processing (DSP)/Deep learning is a plus. Experience with computing design and benchmarking is a plus. Experience leading small teams or projects. Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Job Description: Mandatory Skills Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python , YAML, and system integrations. Nice to Have: Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Core Characteristics Achievement-oriented Enjoys taking on challenges, even if they might fail. Innovative – Prefers working in unconventional ways or on tasks that require creativity with multivariable inputs and uncertainties. Resource maximizing – Identifies and leverages team resource strengths, while maintaining awareness and pushing for needed growth opportunities. Autonomous/ independent – Enjoys working with little direction. Dynamically detail oriented – Has the awareness of the need and ability to go deep without getting lost, while staying grounded with the bigger picture. Critical thinker – Applies logic, reason, and rationale to a given problem and/ or proposed solution. Dependable – More reliable than spontaneous. Flexible – Ability to manage competing priorities in a fluid environment. Prioritizing – Effective with prioritization, goal setting, and time management. Communicator – Excellent in communications, interpersonally, and in writing. Key Responsibilities: Analyze and interpret complex datasets to uncover valuable insights. Develop and implement Machine Learning (ML) models and algorithms. Collaborate with the team to design and execute data experiments. Utilize cloud platforms for data storage, processing, and analysis. Present findings and insights to both technical and non-technical stakeholders Stay updated on industry trends and advancements in data science, with a focus on healthcare informatics. Analyze complex healthcare data sets to identify trends, patterns, and insights. Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. Identify opportunities for process improvement and efficiency through data analysis. Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. Qualifications: Degree in computer science, Statistics, Data Science, or a related field. Strong working knowledge of data manipulation and analysis libraries (e.g. Pandas, NumPy, scikit-learn) Familiarity with machine learning (ML) concepts and algorithms. Analyze and interpret complex healthcare datasets to extract valuable insights. Experience with data visualization tools (e.g. Matplotlib, Seaborn, tableau, PowerBI) Basic understanding of databases systems and SQL Experience with cloud platforms (e.g., AWS, Azure or Google Cloud) in a healthcare and biomedical data (ex., clinical and life-sciences) context. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with generative AI tools for innovative data-driven solutions. Excellent problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and methodologies. Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy. Ability to generate information quickly and manage multiple projects at once. Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness. Experience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions Experience with Azure/AWS tools and technology

We are looking for an experienced AI Developer or aspiring CTO who is ready to take up a co-founder-level role and lead the entire AI development.This is not just another jobit’s an opportunity to build a game-changing product from the ground up , shape the company’s future, and be rewarded with long-term equity and profits. Responsibilities Take end-to-end ownership of AI product development (design, architecture, implementation, optimization). Build and deploy AI/ML/NLP models for intelligent data extraction, analysis, personalization, and automation. Integrate third-party APIs (e.g., ChatGPT API, Make.com, Apify, Hunter, Apollo, etc.). Work closely with frontend/backend teams to build seamless user experiences. Continuously monitor, evaluate, and optimize AI solutions. Contribute to product strategy and roadmap as part of the core leadership team. Create scalable, secure, and modular systems for AI agents, market research tools, and CRM components. Must-Have Qualities Strong experience in AI/ML/NLP (e.g., OpenAI, LangChain, vector databases, RAG pipelines). Proven expertise in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch). Experience with APIs, automation workflows, no-code/low-code integrations, and AI infrastructure. Startup mindset: proactive, resourceful, and comfortable working with ambiguity. Entrepreneurial drive with a hunger to build and scale. Ability to independently manage projects, deadlines, and product cycles. Preferred Qualities Experience building AI products from scratch (especially SaaS platforms). Familiarity with marketing tech, web scraping, data enrichment tools. Prior startup or product-building experience (bonus if you’ve been a founder/CTO). Understanding of business and user-driven product development. What’s in It for You? Profit-Sharing : A percentage of profits plus salary as a founding team member. ESOPs : Earn equity based on performance, commitment, and milestones. Founder's Track : You’re not just an employee—you grow with the company as a leader. Ownership & Autonomy : You’ll define the AI roadmap and lead technical vision. Impact & Innovation : Directly influence how hundreds of businesses use AI to grow.

Job Description: At NxtWave, as a TCD, you will be heading your technical pod and will be responsible for creating and refining industry-relevant content for students. This role involves developing engaging content and materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement. Youll collaborate with teams internally and SMEs externally to manage technical content tracks, analyze industry trends, and deliver high-quality outcomes that improve learners' skills and employability. Skills Required Minimum 1-4 years of experience in content development. Strong understanding of neural networks, CNNs, RNNs, LSTMs, GANs, transformers, and other advanced architectures. Expertise in Python and popular Deep Learning frameworks like TensorFlow, PyTorch, and Keras. Hands-on experience building, training, and deploying Deep Learning Models. Experience working with real-world datasets for image recognition, NLP, time series forecasting, and other domains. Knowledge of pre-trained models and transfer learning techniques. Responsibilities Lead a team of Associate technical content developers to ensure timely and high-quality content creation. Develop high-quality, industry-relevant content on Deep Learning concepts, including neural networks, CNNs, RNNs, GANs, transformers, and other advanced topics. Incorporate hands-on projects and real-world datasets to provide practical learning experiences. Understanding of how to develop content to meet various learner needs and styles. Collaborate with Subject Matter Experts (SMEs) to ensure technical accuracy and relevance of the content. Design curriculum outlines, learning objectives, and roadmaps for comprehensive technical programs. Stay updated with the latest industry trends to incorporate cutting-edge topics and technologies into the content. Review and revise content regularly based on learner feedback and emerging educational strategies. Act as a bridge between content development and product teams, driving feature development and design improvements to support immersive and practical learning experiences. Monitor and report on the progress of content development to ensure alignment with organisational goals. Job Overview Location : NxtWave Office Spaces in Hyderabad Job Type : Full-Time Working days : 5 days a week Package: As per Market Standard

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis.Experience3-5 Years.

The JD for AI/Ml programmer is given below: Key Responsibilities: Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) . Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning . Familiarity with agent orchestration frameworks and LLM tool chaining . Strong problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases). Knowledge of Reinforcement Learning or Meta-learning for agent training. Experience contributing to open-source projects or published papers in the field of AI.

Role & responsibilities Technical Expertise: • Core AI/ML Skills: o Strong expertise in OCR, NLP, NER, deep learning, and ML model development. o Extensive experience working with Hugging Face Transformers, fine-tuning pre-trained models for NLP, OCR, and entity extraction tasks. o Proven experience in extracting structured data from scanned and digital PDF forms using OCR-based AI models. o Deep expertise in NLP techniques, including Named Entity Recognition (NER), sentiment analysis, topic modeling, text summarization, and relationship extraction from unstructured text sources (social media, literature, email body). o Experience building rapid prototypes using Gradio or Streamlit for ML model demonstrations. o Solid understanding of semantic search, recommendation systems, and applied ML principles. o Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and deep learning techniques. Systems & Tools: o Experience with Hugging Face, PyTorch, TensorFlow, and ML model serving APIs. o Familiarity with Linux-based environments, Git, and cloud platforms (AWS, GCP). o Hands-on knowledge of containerization (Docker, Kubernetes), vector search engines, and knowledge graphs is a plus. o Strong experience working with relational databases (Postgres, MySQL). Additional Credentials (Bonus): o Contributions to AI/ML research papers, open-source projects, or ML competitions. o Experience with vector search engines, embeddings, and retrieval-augmented generation (RAG) is a plus.

Role & responsibilities Design and implement custom algorithms for image analysis using deep learning and machine learning. Work extensively with remote sensing data , including multispectral and satellite imagery . Process and analyze large-scale image datasets using Python and ML frameworks. Apply computer vision techniques for tasks like classification, segmentation, and feature extraction. Use geospatial tools like GDAL to manage and analyse spatial datasets. Collaborate with cross-functional teams to deploy scalable image processing solutions. Preferred candidate profile Proficient in Python with hands-on experience in libraries like OpenCV, NumPy, and Pandas Strong background in deep learning frameworks TensorFlow, Keras, PyTorch Solid understanding of remote sensing concepts and working with multispectral/hyperspectral imagery Experience in handling and analyzing large volumes of geospatial data Strong foundation in applied mathematics and statistics Familiarity with AutoEncoders and GDAL is a strong plus