1435 Deep Learning Jobs - Page 34

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

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience: 6-10Years (3+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 USA: +1 (346) 999 0801 Email: Balaram@aurumdatasolutions.com

RESPONSIBILITIES: Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms. Contribute to the research and development of advanced generative AI models such as LLMs, SLM’s including GANs, VAEs, autoregressive models, and novel architectures. Deployment of generative AI models, frameworks, and algorithms into scalable REST API services. Conduct research and stay up-to-date with the latest advancements in generative AI to ensure our solutions are at the forefront of the industry. Perform code reviews, identify areas for improvement, and optimize AI models for efficiency and scalability. Collaborate with data scientists and engineers to pre-process and curate datasets suitable for AI applications. Continuously evaluate and improve the performance, accuracy, and reliability of Deep learning and AI models through experimentation and iteration. Work collaboratively with engineering and product development teams and cross-functional partners to ensure timely and successful delivery of generative AI projects, meeting Alstom’s expectations.

Senior Technical Lead (AI-DLML) Job Role & responsibilities Understand operational needs by collaborating with client specialized teams Formalize needs into mathematical models and problems Explore databases (including very big databases, in tables or unstructured, including open ones) to mine patterns Choose relevant techniques and create data processing solutions for the identified needs Present and promote the solutions to the relevant stakeholders Implement and deliver solutions by contributing individually as well as leading teams Manage and transmit knowledge through appropriate documentation and events (training courses, seminar, blog posts, etc.) Mandatory Skills Minimum 7+ years of hands-on professional experience in machine learning (ML), deep learning (DL) and artificial intelligence (AI) Minimum 7+ years of coding skills in programming languages (required: Python; appreciated: R, Java/ Scala), SQL 5+ years of proficiency in popular ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Theano, Sklearn, Pandas, NumPy, Matplotlib, etc.) Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering & selection, building, validating, and deploying predictive models, explaining model results and insights to client/stakeholders Proficiency in AI, ML, DL techniques such as regression, classification, segmentation, anomaly and novelty detection, dimensionality reduction, tree-based algorithms, support vector machine, recommender system, attribution modelling to address business problems. Deep understanding of neural networks, deep learning, and generative models (e.g., RNNs, CNNs, LSTMs, GANs, VAEs, etc.). Experience with 2-3 ML/DL model deployment in Azure (AzureML, Databricks, etc) is preferable Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills

Position : Senior AI Engineer Experience Required : 3+ Years Company : Academian (EdTech Domain) Work Location: Pune Notice Period: we are looking for Immediate - 30 days NP (Candidate having 60 days Notice Period will not be considered) Role Overview We are seeking an experienced Senior AI Engineer to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain. Key Responsibilities: AI Model Development : Design, train, and deploy AI models for diverse use cases, including: Computer Vision : Image recognition, object detection, segmentation etc. Natural Language Processing (NLP) : Text classification, summarization, question-answering systems etc. Generative AI : Fine-tuning and deploying open-source large language models (LLMs) and Private Models. RAG (Retrieval-Augmented Generation) : Implement AI systems combining retrieval with generative models. Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.). Open-Source LLM Development : Develop and fine-tune open-source LLMs to cater to domain-specific needs. Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency. Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries. Integration & Architecture : Integrate AI solutions with Vector/Graph db for advanced data relationships and queries. Implement and manage MLOps / LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models. Leadership : Mentor and guide junior engineers, fostering innovation and skill development. Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals. Infrastructure : Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions. Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development. Best Practices : Establish robust practices for coding, testing, and documenting AI solutions. Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development. Requirements: Experience 3+ years of experience in AI/ML Proven expertise in designing and deploying AI solutions in production environments. Technical Skills Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools. In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models . Familiarity with open-source LLM development and deployment Experience with RAG architectures , Graph Databases , and LLMOps practices. Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure). Domain Knowledge Familiarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus. Soft Skills Exceptional leadership and team mentoring abilities. Strong problem-solving skills and excellent communication for technical and non-technical stakeholders. Education Bachelors or Masters degree in Computer Science, AI, Data Science, or related fields. Why Join Us: Opportunity to lead AI initiatives that shape the future of education technology. Work in a collaborative, mission-driven environment with a focus on innovation. Engage with impactful projects and cutting-edge AI technologies. Competitive salary, benefits, and opportunities for professional growth.

A Generative AI Developer needs skills in Python, TensorFlow, PyTorch, and deep learning. Expertise in GANs, VAEs, transformers, NLP, computer vision, and data preprocessing is crucial. Knowledge of cloud platforms

Detailed JD *(Roles and Responsibilities) Bachelors degree or higher in Machine Learning, Computer Science, Computational Linguistics, Mathematics or other relevant technical field from premier institute. Strong foundation in Probability, Statistics, Linear Algebra, Calculus, Machine Learning and Generative AI/LLM. Expertise in Deep Learning techniques and applications. Strong understanding of Generative AI (GenAI) including math behind the models and its practical implementations. Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc.. and cloud ecosystems like Azure, AWS, GCP, Databricks Proficiency in LangChain, LangGraph, and working with Vector Databases for advanced data retrieval and AI workflows. Proficiency in Python or similar programming languages, with experience in AI/ML libraries and frameworks such as TensorFlow, PyTorch, or Hugging Face. Knowledge of financial products, including mutual funds, ETFs, and client segmentation, is a plus. Excellent problem-solving and analytical skills. Strong communication skills to explain complex models and insights effectively. Mandatory skills* Python + Gen AI

Required At least 2 years of hands-on experience Strong theoretical understanding of DataScience algorithms, deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. ",

Greetings from Nihon Technology Pvt Ltd!!! We have an excellent opening with us for the following position. Work Location: Chennai/Remote Experience : 8+years Notice period : Immediate - 30days Period: Long-term Budget : Can be discussed for right candidate Key Responsibilities: Provide technical leadership and guidance to a team of AI/ML and security engineers. Drive the design, development, and implementation of AI/ML-powered security solutions. Establish and enforce coding standards, best practices, and architectural guidelines. Conduct code reviews and provide constructive feedback to team members. Stay up-to-date with the latest advancements in AI/ML, Gen AI, and security technologies. Lead the development of AI/ML models for threat detection, anomaly detection, vulnerability analysis, and security automation. Design and implement secure AI/ML pipelines, ensuring data integrity and model security. Develop and deploy Gen AI-based solutions for security tasks such as code analysis, threat intelligence, and security awareness training. Integrate AI/ML models with existing security infrastructure and tools. Mentor and coach junior engineers, fostering their technical growth and development. Conduct performance reviews and provide feedback to team members. Promote a collaborative and innovative team environment. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. [5+] years of experience in software development, with a focus on Micro Service Design Patterns, Python , Fast API Frameworks and AI/ML Technology . [3+] years of experience in security engineering or a related field. Strong understanding of security principles, threat modeling, and vulnerability analysis. Preferred Skills: Experience with security information and event management (SIEM/Splunk) and SOAR systems. Experience with Deep Learning Models and Transformers, GEN AI LLM. Experience in Devops activity. If you are interested, kindly revert us with your updated profile with the following details to pushpadevi.r@nihontechnology.com Total & relevant years of experience: Current CTC: Expected CTC: Notice period: Current company: Current location: Preferred location: Kindly get in touch with me for any further clarifications. Regards, Pushpa(HR)

Role & responsibilities Job Summary: We are looking for an experienced AI Consultant (Part-time / Consultant) with a background in IT services or eCommerce and a strong focus on AI over the last 5 years. The ideal candidate will have deep technical knowledge combined with the ability to advise, design, and guide the implementation of AI solutions for business transformation. This is a strategic, high-impact role suitable for professionals looking for flexible engagement. Key Responsibilities: AI Strategy & Advisory: Partner with business and technical teams to identify AI opportunities across domains. Define AI adoption roadmaps tailored to the clients business objectives. Conduct PoCs, solution evaluations, and ROI analysis. Solutioning & Delivery Support: Provide architectural and design guidance for AI/ML solutions. Advise on the selection and customization of AI models and platforms. Offer hands-on support or oversight in key phases such as data preparation, model building, and deployment. Stakeholder Engagement: Act as a trusted advisor for senior stakeholders, translating business needs into AI-driven solutions. Lead or participate in workshops and knowledge sessions for client teams. Recommend tools, platforms, and best practices based on industry standards. Required Skills & Experience: 12 - 22 years of total experience in IT services or eCommerce domains. At least 5 years of recent, dedicated experience in AI/ML roles. Strong understanding of ML algorithms, NLP, computer vision, and generative AI (e.g., LLMs). Hands-on expertise in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with AI/ML deployment on cloud platforms like AWS, Azure, or GCP. Strong consulting, presentation, and communication skills. Preferred Qualifications: Prior consulting or part-time project-based engagement experience. Knowledge of AI applications in eCommerce such as personalization, fraud detection, and customer analytics. Familiarity with MLOps and production-grade AI pipeline deployment. Advanced degree or AI/ML certification (e.g., AWS/GCP/Azure ML certifications). Engagement Details: Flexible part-time hours or milestone-based consultant engagement. Remote or hybrid working based on project/client needs. Engagement model and duration to be discussed based on mutual alignment