5480 Deep Learning Jobs - Page 24

At o9 Solutions, the mission is crystal clear: to be the Most Valuable Platform (MVP) for enterprises by integrating global enterprises" siloed planning capabilities using the AI-driven platform, the o9 Digital Brain. This integration helps capture significant value leakage, amounting to millions and even billions of dollars. The positive impact extends beyond financial gains as businesses that plan better and faster also contribute towards reducing waste, thereby driving better outcomes for the planet. The company is actively seeking bright and dedicated individuals to join them on this revolutionary mission. They offer a nurturing environment where you can be part of something truly extraordinary and have a real impact on companies and the environment. As part of the product team, your responsibilities will include delivering enterprise planning and execution products for various industries. This involves building o9's products using a combination of technologies, including o9 proprietary platform constructs, databases, and languages on a SaaS infrastructure. You will be tasked with building high availability, low latency products, including centralized monitoring and control panel applications used by o9 teams and customers. Additionally, you will be incorporating machine learning, deep learning, and generative AI capabilities into the products for various use cases and collaborating with different product and implementation teams to lay out deployment plans. To qualify for this role, you should have at least 3 years of experience in software engineering. Expert knowledge of different databases (SQL, Deltalake/Hadoop/Hive, MongoDB, etc.), languages (Python, C, Javascript), and their scalability techniques and limitations is essential. Advanced knowledge of machine learning, deep learning, LLM's, and a proven ability to deliver is required. You should have experience delivering complex products and solutions with a multi-technology landscape in a scalable and efficient manner. Proficiency in cloud infrastructure, QA automation software (Selenium, Telerik), continuous integration tools (Jenkins), and working with R, Python, and Javascript-based solutions is necessary. The ability to thrive in a fast-paced, high-performance culture is crucial. o9 Solutions offers a competitive salary along with social activities for remote work and a flat organizational structure without corporate politics. You will have the opportunity to work in a supportive environment with a diverse team from around the world. With its recent Unicorn status, o9 Solutions is rapidly growing as one of the leading AI-powered digital transformation companies globally. The o9 platform, or digital brain, is the premier AI-powered, cloud-based platform driving digital transformations for major global enterprises like Google, Walmart, and Starbucks. Headquarters are in Dallas, with offices in multiple locations worldwide.,

The company's core values of Inclusion, Innovation, Collaboration, and Wellness guide the daily business operations. These values emphasize working as a global team with customers at the center, prioritizing self-care, teamwork, and community support. As a Machine Learning Engineer, you will lead the design and development of machine learning models and algorithms to improve customer satisfaction, retention, and overall experience. Your responsibilities will include utilizing statistical and machine learning techniques to analyze customer data, identifying patterns and trends. You will collaborate with cross-functional teams to translate insights into actionable strategies. It is essential to stay updated on emerging ML technologies and methodologies, conducting research and experimentation to foster innovation within the team. To qualify for this role, you should possess a Bachelors/Masters or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. Additionally, you should have at least 4 years of experience in Machine/Deep learning and Natural Language Processing. Proficiency in programming languages like Python and ML Frameworks such as PyTorch is required. A strong understanding of machine learning algorithms and techniques, along with hands-on experience in model development and evaluation, is crucial. Experience with Large Language Models (LLMs) and other transformer-based architectures is preferred. A proven track record of delivering actionable insights and driving business impact through data-driven decision-making is highly valued. The company offers various benefits, and they are committed to fostering a diverse and inclusive workplace. To learn more about the company's culture and community, visit their website at https://about.pypl.com/who-we-are/default.aspx. If you are interested in joining their Talent Community or have any inquiries about your skills, please feel free to reach out. The company acknowledges the confidence gap and imposter syndrome that may hinder exceptional candidates and encourages all qualified individuals to apply without hesitation.,

You are a Data Analysis Professional with 0-2 years of experience, proficient in programming languages such as Python and SQL. You have hands-on experience with technologies like Langchain, OpenAI, Django, DRF, Tensorflow, Pytorch, databases including Postgre, SQL, MySQL, and data analytics tools like Numpy, Pandas, Matplotlib, Seaborn, Statistical Analysis, Data Visualization, Tableau, and Power BI. Your expertise extends to machine learning concepts such as Generative AI, Deep Learning, NLP, Transformers, Open CV, and Classical ML. In addition to technical skills, you are well-versed in using tools like VS Code, Jira, Git, and Docker, as well as cloud platforms like AWS and Azure. At YASH Technologies, you will have the opportunity to build a successful career in a supportive and inclusive team environment. YASH Technologies is committed to empowering its employees through career-oriented skilling models and continuous learning opportunities. The company values flexibility, emotional positivity, trust, transparency, and open collaboration in its hyperlearning workplace. By joining YASH, you will be part of a stable employment environment with a strong ethical corporate culture that supports the realization of business goals.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 1000 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. The Evalueserve University has been established to design and deliver a Global Learning Strategy that is integral to business success. From new Graduate onboarding, role change step-up programs, to leadership skill development workshops and specialized programs in domain-specific knowledge, digital skills, technological skills, and more, the Evalueserve University has been pivotal in strengthening structured learning opportunities. As a part of the team at Evalueserve, you will partner with business leaders and Subject Matter Experts (SMEs) to design and deliver learning programs that develop key competencies in the areas of Data Science. You will manage, enhance, and deliver our signature boot-camp training programs for new hires across key centers globally. Collaborating with Operations, you will identify training and development needs for on-role analysts, plan the training calendar, and deliver ad-hoc trainings throughout the year. Additionally, you will identify and develop new learning content such as e-learning modules, presentations, and learning videos that can be accessed by teams globally through our learning platform. Monitoring training quality and effectiveness will be crucial, ensuring that the training program aligns with the business needs of the Group and developing new programs to meet emerging training requirements. We are looking for candidates with 8-10 years of experience in Data Science, with expertise in Cloud Fundamentals (Azure/AWS/GCP), preferably GCP. Proficiency in Python, Machine Learning, LLM Ops, MLOps, Project Management, and NLP is essential. Advanced Skills in areas like Computer Vision, Deep Learning, Frameworks (Hugging Face, Transformers, Langchain, etc.), Prompt Engineering, RAG Apps, GenAI Agents, etc., will be advantageous. Experience in Data Warehousing, Data Engineering, or Big Data will be an added advantage. A Graduation degree is a must. Excellent communication and interpersonal skills, along with proficiency in Excel and PowerPoint are key attributes we are seeking in potential candidates.,

The 2-month online internship program is offered by leading scientists of Gilbert Research Center . Gilbert Research Center is one of the most reputed and notable research centres in India. What you'll learn from this Online-Internship Basics of Mathematics - Linear Algebra, Probability, Differential Equations Fundamentals of Python Programming Language Fundamentals of Statistics, Statistical Power Analysis & Optimization. Machine Learning Algorithms - Linear, Multiple, Non-Linear Regression, Correlation, Gradient Descent & PCA Fundamental of Neural Networks, Convolution & Deep Learning ( CNN - Convolutional Neural Network). Image Processing, Medical Image Processing - X-ray modality. Industry-relevant projects discussion and implementation, fundamental programming assignments, and attending mentorship sessions of our Scientists. You'll get basic and complete Industry-related knowledge for your recruitment process at Gilbert Research Center , career shift , and other job opportunities . You'll get core knowledge of machine learning & data science from a leading scientist. This program definitely boosts your professional career and promotion. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their assignment performance. Our internship provide to grab a job at Gilbert Research Center, a software industry, fin-tech company based on data science and machine learning. Every candidate will get a Verified Certificate & Letter of Recommendation from a Scientist at Gilbert Research Center. Stipends will be provided to all students based on their performance. Our internship provides a bridge to grab a job opportunity in a software or fin-tech company based on data science and machine learning. Job Role Assigned with Mentorship with Scientist: One of the most reputed research centres in India, Gilbert Research Center invites high-level top leading Internship positions in organizations. It's an Online-Internship Programme. The working location is completely Online . You don't need to switch your locations. It's an Internship Programme working 2 -Months Programme. Our high-level Internship Programme will be mentored and guided by the leading Scientists of Gilbert Research Center. Your role would be to lead a high-level Internship Programme by allocating Industry relevant projects, fundamental programming assignments, and attending mentorship classes of our Scientists. Youll have experience collaborating with our leading Scientists to make your career as Industry-Academic. You'll get top experience in Industry Readiness & Trending topics . Selection is based on a pure merit basis. The interview will be conducted for Shortlisting applicants.

Motive is dedicated to empowering individuals who oversee physical operations by providing them with tools to enhance safety, productivity, and profitability. The Motive platform allows safety, operations, and finance teams to efficiently manage drivers, vehicles, equipment, and fleet expenditure within a unified system. Leveraging cutting-edge AI technology, Motive ensures complete visibility and control while streamlining tasks through automation, thus reducing manual workloads significantly. With a client base exceeding 120,000, ranging from Fortune 500 corporations to small enterprises across various sectors such as transportation, construction, energy, manufacturing, and more, Motive is a leader in its field. As a Software Engineer - Vision at Motive, you will join a dynamic team committed to bringing intelligence to the world of trucks. Your primary responsibility will involve developing technology to analyze driving behavior, identify potential risks, and suggest actionable events to enhance fleet safety and save costs, ultimately contributing to road safety. Working alongside accomplished researchers and engineers specializing in Computer Vision, Machine Learning, Deep Learning, and Robotics, you will have the opportunity to collaborate on innovative projects with a proven track record of success. In this role, you will lead the design and implementation of sophisticated computer vision systems. You will be tasked with enhancing existing models, conducting research to create new AI models, optimizing CV/ML algorithms for real-time performance on embedded platforms, writing Python and C++ code for algorithm development, and collaborating with cross-functional teams to ensure the delivery of robust AI systems. The ideal candidate will possess a Bachelor's Degree in Computer Science, Electrical Engineering, or a related field, with a Master's degree being advantageous. A minimum of 4 years of experience in Computer Vision, Deep Learning, and Machine Learning is required, along with a solid foundation in relevant mathematical principles. Proficiency in Python, C++, and training frameworks such as TensorFlow, Pytorch, or Caffe is essential. Familiarity with AWS, CI/CD, Terraform, Docker, Kubernetes, and other related tools is a plus. Motive values diversity and inclusivity, striving to create a workplace that welcomes individuals from diverse backgrounds, experiences, and perspectives. As an equal opportunity employer, Motive encourages applications from all qualified candidates. It is Motive's policy to ensure that all employees are authorized to access commodities and technologies regulated under U.S. Export Administration Regulations. Candidates must adhere to this policy to be considered for employment opportunities at Motive.,

You will be joining SOLIZE India Technologies Pvt. Ltd. as an AI Engineer based in Bangalore. You will be working full-time in a permanent position with an experience level of 3+ years. Your primary responsibilities will include applying your knowledge of anomaly detection techniques, such as statistical models and unsupervised learning, and integrating AI models optimized for edge devices using tools like TensorFlow Lite. You should have a fundamental understanding of machine learning and deep learning concepts like CNN, RNN, and GAN, along with practical experience in Python libraries like TensorFlow, PyTorch, and scikit-learn. Additionally, you will be expected to work with time-series data processing techniques including LSTM and GRU, sensor data processing for noise reduction and feature extraction, as well as data visualization and analysis using tools like Pandas, Matplotlib, and Seaborn. Your role will also involve AI model optimization and evaluation methods like cross-validation and hyperparameter tuning. Apart from the technical skills, the ideal candidate for this role should be a young to mid-career professional aged between 25-35 years old, with a flexible mindset and a strong willingness to learn. An interest in Japanese culture, particularly anime, and an engineering background with knowledge of device drivers and hardware will be beneficial. As part of the Automotive Product Development Group, you will be collaborating with global manufacturing companies, especially from Japan, to develop innovative solutions in the field of Two-Wheeler Technologies. A keen interest in AI and embedded development, along with a high motivation for self-learning, excellent problem-solving skills, and a team-oriented approach will make you an ideal fit for this role. Moreover, having a curiosity for Industrial IoT and a desire to expand your knowledge in this area will be advantageous. If you are looking to be part of a global engineering company with a successful history spanning over 3 decades and a revenue exceeding USD 160 million, SOLIZE India Technologies Pvt. Ltd. offers you an exciting opportunity to contribute to cutting-edge automotive technology innovations. To learn more about SOLIZE and its operations, please visit our website at www.solize.com/india.,

Overview The ESG & Climate Carbon Markets Data Science team builds intelligent, scalable AI applications that power MSCI’s carbon and climate analytics platforms. In this role, you will bring cutting-edge AI/ML techniques to production, including agentic modelling, LLM integration, time series forecasting, and carbon-specific prediction systems. You will collaborate with data scientists, engineers, and product owners to transform ideas into deployable tools. Responsibilities Design, build, and deploy AI-powered applications and forecasting systems in Python Leverage LLMs, agentic frameworks (e.g., Vertyex AI, LangChain), and generative AI to automate research and analysis Develop time series and ML models (e.g., XGBoost, LSTM) to forecast carbon prices and project outcomes Build interactive user interfaces using Dash, Streamlit, or React Maintain cloud-native workflows in GCP (Vertex AI, Cloud Run/Job) Ensure code quality through unit testing and infrastructure practices (Terraform a plus) Collaborate with cross-functional teams to translate business needs into technical solutions Qualifications Strong Python skills with production-grade development experience Experience using LLMs and agentic modelling frameworks Knowledge of machine learning pipelines and cloud tools (GCP preferred) Hands-on work with forecasting models and unstructured data processing Strong UI development experience with Dash, Streamlit, or React Familiarity with CI/CD and infrastructure-as-code (Terraform is a plus) Ability to work independently while aligning with product strategy and data governance What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. Our DeepTech Startup was founded on the core R and D which our serial Digital Health Startup Entrepreneur, StartupGuru and Founder and CEO and Chief R and D | AI Health Innovation Officer | Chief Business Strategy Officer I Chief Digital Health Officer has developed over his strong 28 Years Health Technology experience of Science and Technology driven by ( Digital Health, AI Health, Telemedicine, Big Data, Blockchain, and IoT ) Disruption and Innovation will replace many Big Players Globally from the Market in no time "Just like Smart Phone company demonetized / Replaced the entire Button Phone Big giants Multi-National Companies globally". Benovymed Healthcare is World's Top 20 and India's No:1 most Impactful DeepTech Global HealthTech and Global Healthcare Startup in Digital Health, Deep Tech AI Health, and Telemedicine Innovation Indian Global Tech start-up Healthcare Organization of Indian Origin working in 40 countries Globally including India. Benovymed is the fastest growing with very aggressive, Very Powerful Business execution Go to Market with High Sustainable Exponential Growth Global HealthTech Startup in Revolutionising Digital Health | AI Health | Telemedicine through Innovation and Disruption, a Global Game changer in Healthcare to Impact the Lives of Billions of People and benefiting to all stakeholders Globally. Benovymed is developing the world's first-of-its-kind Global R and D and AI Health Innovation Center which will be the World's No:1, world-class, and the state of art R and D and AI Health Innovation Global Center coming up in our Global HQ, Global Technology Development and Innovation Center, Global R and D and AI Health Innovation Center in Delhi NCR, India. Powered by : Benovymed Global R and D and AI Health Innovation Lab. Benovymed is developing from its Core Foundation of Founder and CEO's over 28 Years of serial Digital Health Startup Entrepreneur experience with a Multihat role in Digital Health, AI Health, MedTech in Healthcare of Strong R and D in 360-degree areas of Medical, AI Health, Healthcare Business Strategy Think Tank Lab a World's 1st Global R and D and AI Health Innovation Lab through a State of art Think Tank and Center of Excellence ( 5 COE) in Revolutionising Digital Health| AI Health |Telemedicine through Innovation to solve more than 1000s Complex Problems in our Healthcare System local to Global under the various local settings. As per our 5 Year Business Plan, in the next 5 years, we will be having our Presence in 180 Countries globally with our over 2000 Game-changing Disruptive Innovative Technology Products and Novel Solutions all driven by AI Health which will replace many existing big Players globally, to make Benovymed World's No:1 AI Health Global Organisation from India with over 100 Billion $ by Market valuation a True Global AI Health Company in a fastest-growing at the rate of 61.3% emerging Trillion Dollars AI Health Global Market where there is no supply and demand above the sky. Our Founder and CEO Promoter and Board Chairman had Created the Most Impactful DeepTech HealthTech Market in India and Globally since 1993. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally. " We are the Pride of India" Our Passionate Founder and CEO is bringing change in the Health Eco-System in Building India over the last 27 Years to Impact the Lives of Billions of People Globally. Our Founder and CEO and Promoter of the organization Mahendra Singh is a visionary and Passionate serial DeepTech startup Digital Health Tech entrepreneur, serial Founder and CEO in HealthTech, setup, worked, built, and serially Invested in 16 Most Impact DeepTech Global HealthTech Startup successfully. Our Founder and CEO is a Digital Health Doctor, AI Health Dr, and a Serial Investor and he is the World's Top 30 most impactful Global Business Leader in Digital Health, AI Health, and Telemedicine Innovation with over 28 Years of excellency in revolutionizing through Innovation in Digital Health Tech, AI Health and Telemedicine in India and Globally in this space delivering his Healthcare excellency to thousands of Dr, Clinics, Hospitals, Medical Research Universities all across the world including India and to benefiting to several millions of Patients globally through his Launched some of the most Disruptive Innovative Game Changer more than 90 Digital Health Technology Products and Novel Solutions and now developed world's 1st most comprehensive Digital Health, AI Health Platform for a global market including India. If you are passionate about building and growing our company, love to face challenges, come out from your comfort zone, have the strong capability to take the pain now and high rewards thereafter, have domain expertise, solve a complex problem in real life, Go-getter, if you are an entrepreneur, passionate Thinktank and domain experts, then Join us as to become Benovymed Healthcare Top Growth Drivers.

Job type : CONTRACT Location : Remote (Chennai) {possible to travel Chennai for meetings} Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

About Company: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We're in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment - with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged. We invite you to push your boundaries and join us in fulfilling your career aspirations! What You Can Expect from Us: Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let's make your career great! Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : - Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning: Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering: Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting: Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning: Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting: Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation: Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment: Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness: Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration: Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g , Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g , GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g , BLEU, ROUGE) Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written

Job type : CONTRACT Location : Remote (Chennai) {possible to travel Chennai for meetings} Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Job type : CONTRACT Location : Remote (Chennai) {possible to travel Chennai for meetings} Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Company: Oliver Wyman Description: Who We Are Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. At Oliver Wyman, we value diverse perspectives and collaboration as key drivers of innovation and impact. Our team s varied backgrounds and skills foster an inclusive environment where everyone can thrive. With over 20 years of experience and a presence across seven offices, our growth in India is supported by a multidisciplinary team and collaboration that promotes deep learning and a rewarding work environment. We are proud of the values that we aspire to live by at Oliver Wyman. Who can apply? 2027 IIMB Graduates 2 months of internship starting April 2026 for 8 weeks Offices : Based on project requirement client site/ Gurgaon/Mumbai As an Intern, your responsibilities will include: Collaborating within teams to solve high-level business challenges Conducting essential research and analysis Performing complex quantitative, strategic, and financial assessments of corporations and industries Receiving mentorship to develop leadership and client management capabilities Gaining broad exposure to various topics and industries within our consulting services Immediate impact, continuous challenge You will contribute to impactful projects that influence clients, industries, and society at large Challenging the status quo and striving to innovate, you will help shape the future of our firm and the world around us As a valued team member from the outset, you will build trust-based relationships with stakeholders and deliver breakthrough results Each project helps you expand your skillset and collaborate with specialists possessing deep subject-matter expertise Chart your course; we support the journey You will have the chance to work on diverse projects (1 to 2 projects depending on the project duration) Throughout your internship, you will be guided and mentored by colleagues, including a buddy, and your talent manager We hire you to be you We foster an open, inclusive, and down-to-earth environment that encourages you to bring your authentic self to work You will collaborate with approachable colleagues who are committed to serious work but maintain a sense of humility and humor Our culture eschews rigid hierarchies and artificial barriers, ensuring equal opportunities for personal and professional growth

[{"Posting_Title":".Net Developer with AI" , "Is_Locked":false , "City":"Bangalore , sarjapur." , "Industry":"Software Product","Job_Description":" Job Type: Regular,Full-Time Reports To: R&DSenior Manager - AI Core Services Development We are looking forpassionate and skilled Software Developers to join our Core AI Services team.In this role, you will help design, develop, and scale AI-enabling platformservices and public APIs that are secure, reliable, and cloud-native. Theseservices will act as foundational building blocks for AI adoption across product portfolio and partner ecosystem. You will part ofa Scrum team to build innovative, standards-compliant, secure andproduction-grade AI capabilities, witha builder mindset - rapid prototyping and continuous improvement with agilityof a start-up. Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure,ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption byinternal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutionsacross data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensuresecure access to AI services. Contribute to design reviews, code reviews, and architectural discussionsto ensure engineering excellence. Mentorjunior developers, encourage continuous learning, and contribute to a cultureof innovation. Work withmultiple teams to create AI solutions, which include AI model deployment,training, and AI tooling development. AI & CloudExpertise Experience working with Large Language Models (LLMs) and understanding oftrade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agentorchestration, prompt engineering, and tool calling. Familiaritywith AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strongknowledge or experience in working with various ML algorithms (regression,classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act),and commitment to responsible AI development. Fluent indeveloping code using AI tools such as GitHub Copilot. Must be able to useprompt engineering to carry out multiple development tasks. Familiarwith AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experiencewith tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks/ tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 10+ yearsof experience in software engineering, preferably in platform or cloud-nativeservice development using Microsoft and.NET technologies. Hands-on experience with Microsoft Azure and associated PaaS services(e.g., Azure Functions, AKS, API Management). Strong expertise in RESTful API design, versioning, testing, andlifecycle management. Proficient in securing APIs, managing authentication/authorization anddata privacy practices. Excellent problem-solving skills, with the ability to analyze complextechnical challenges and propose scalable solutions. Experience working in Agile teams and collaborating across global R&Dlocations Demonstratedability to mentor junior team members fostering aculture of continuous learning and innovation Demonstrated experience with AIframeworks, tools and Python ","Job_Type":"Full time","Job_Opening_Name":".Net Developer with AI" , "State":"Karnataka" , "Country":"India" , "Zip_Code":"562125" , "id":"481259000053573091" , "Publish":true , "Date_Opened":"2025-08-12" , "Keep_on_Career_Site":false}]

In this Role, you will be at the forefront of developing and deploying advanced machine learning and deep learning solutions. Closely work with Data Engineers and other ML engineers in the team. This pivotal role involves leading the entire lifecycle of AI models, from research and experimentation to robust production deployment. You will tackle complex challenges across various domains, including Computer Vision, Natural Language Processing, and cutting-edge Generative AI applications, contributing directly to our next generation of intelligent products and services. We are seeking a highly motivated individual who can work independently, champion their solutions, and thrive in an agile, results-oriented environment. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field. Proven professional experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning. Demonstrated experience in the end-to-end training, evaluation, and deployment of deep learning models in a production setting. Expertise in classical Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Hands-on experience with Generative AI concepts and tools, including LangChain, LangGraph, RAG, and various embedding techniques. Knowledge on multi-modal solutions, specifically involving image embedding. Basic understanding of data pipeline architectures and data engineering principles. Proficiency with MLOps tools such as Docker for containerization and best practices in package management and versioning. Experience with prompt engineering for optimizing AI model performance. Strong Python programming skills are essential, with extensive experience in: PyTorch (mandatory) OpenCV Pandas Scikit-learn Scikit-image Hugging Face Transformers NLTK Sentence-Transformers Other related data science and machine learning packages. Responsibilities: End-to-End Model Development: Lead the complete lifecycle of deep learning models, from initial data exploration and model design to training, rigorous evaluation, optimization, and deployment into production environments. Advanced ML/DL Application: Design, develop, and implement state-of-the-art machine learning and deep learning algorithms for diverse applications, with a strong focus on Computer Vision and Natural Language Processing. Generative AI Expertise: Drive the integration and development of Generative AI solutions, leveraging frameworks and techniques such as LangChain, LangGraph, Retrieval Augmented Generation (RAG), and advanced embedding strategies to create innovative capabilities. Multi-Modal Solutions: Develop and deploy multi-modal AI solutions, including expertise in image embedding and fusing information from various data types. Data Pipeline Collaboration: Collaborate closely with data engineering teams to ensure efficient data access, robust data pipelines, and scalable infrastructure for model training and inference. MLOps Reproducibility: Apply best practices in MLOps, including extensive use of Docker for containerization, and implement robust package management and versioning strategies to ensure reproducibility and maintainability of models. Prompt Engineering: Utilize advanced prompt engineering techniques to fine-tune and optimize the performance, behavior, and output quality of large language models and other generative AI systems. Independent Accountable Work: Demonstrate a high level of maturity and autonomy, capable of independently driving projects from conception through to successful completion. Solution Defense Reasoning: Possess strong analytical and reasoning capabilities to articulate, present, and defend proposed machine learning solutions and technical decisions to both technical and non-technical stakeholders. Agile Collaboration: Work effectively within an Agile development methodology, adapting to evolving requirements, participating actively in sprint cycles, and collaborating seamlessly with cross-functional teams. Validation Testing Excellence: Implement rigorous model validation, testing, and quality assurance processes to ensure the accuracy, reliability, and performance of all developed AI solutions.

Designation : AI/ML Engineer Experience: 1 to 5 Year Opportunity Type: Work from office Job Location : Ahmedabad - Sindhu Bhavan ( Only local candidates are preferred) Must-Have Skills for an AI/ML Engineer Core AI/ML Skills: Strong Programming Proficiency: Python, with libraries like TensorFlow, PyTorch, Keras, Scikit-learn. Deep Learning Frameworks: Expertise in building and training deep neural networks for various tasks. Natural Language Processing (NLP): Understanding of text processing, sentiment analysis, named entity recognition, and chatbot development. Computer Vision: Knowledge of image processing, object detection, image classification, and segmentation. Machine Learning Algorithms: Familiarity with supervised, unsupervised, and reinforcement learning techniques. Data Preprocessing and Feature Engineering: Ability to clean, prepare, and transform data for modeling. Model Evaluation and Deployment: Understanding of metrics, validation techniques, and deployment strategies. Specific Skills for the Role: Chatbot Development: Experience with building conversational agents using NLP and LLMs. LLM Models: Knowledge of large language models like GPT-3, BERT, and their applications. Sentiment Analysis: Proficiency in extracting emotions and opinions from text data. OCR (Optical Character Recognition): Understanding of extracting text from images. Regression Modeling: Skill in building predictive models for numerical outcomes. Azure Setup: Familiarity with Azure cloud platform and its AI/ML tools (Azure Machine Learning, Azure Cognitive Services). Additional Skills (Desirable) Cloud Platforms: Experience with AWS, GCP, or other cloud providers. Distributed Systems: Knowledge of scaling models for large datasets. Time Series Analysis: Understanding of forecasting and anomaly detection. Reinforcement Learning: Experience with building agents that learn through trial and error. Explainable AI: Ability to interpret and explain model predictions. Ethical AI: Awareness of AI ethics and bias mitigation. Must-Have Knowledge AI Fundamentals: Understanding of machine learning concepts, algorithms, and their applications. Data Science: Familiarity with data cleaning, exploration, and visualization. Statistics: Knowledge of probability distributions, hypothesis testing, and statistical inference. Linear Algebra and Calculus: Understanding of mathematical foundations for AI. Software Engineering Practices: Good coding practices, version control, and testing. Here are some additional large language models (LLMs) that an AI/ML developer should be familiar with: Open-Source Models BLOOM: A large-scale multilingual LLM trained on a massive dataset of text and code. OPT-175B: A massive LLM from Meta AI that is trained on a dataset of over 175 billion tokens. PaLM 2: Google's latest LLM, designed to be more accurate, versatile, and safer than previous models. LLaMA: A smaller but powerful LLM from Meta AI that is designed to be more efficient to train and run. Proprietary Models LaMDA: Google's conversational AI model that is used in Google Assistant. Jasper: An AI writing assistant that can generate various types of content, such as blog posts, social media posts, and emails. Rytr: Another AI writing assistant that can generate content in multiple languages. ChatGPT: OpenAI's highly popular chatbot that can engage in conversation on a wide range of topics. Perks and benefits 5 Days working Referral bonus & Performance Bonus. Gratuity (on top of CTC ) No sandwich leave policy / No Bond Leave Encashment /Paid Parental leave. Employee-oriented HR policy. Equal Employment Opportunity Policy Location : On site / Sindhu Bhavan, Ahmedabad , ( Only local candidates are preferred)

Job Description Summary GE Vernovas Advanced Research business is the central innovation engine for GEs portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 300+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future. We are seeking a highly motivated and skilled lead researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Lead research engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions. Job Description Roles and Responsibilities Lead the development of advanced algorithms and methodologies in artificial intelligence and machine learning (AIML) to drive process and product Lead the analysis of extensive datasets to identify complex patterns, trends, and insights, with an emphasis on diagnostics and prognostics for large-scale energy equipment. Develop and optimize AIML algorithms and models to ensure superior performance and scalability. Design, conduct, and supervise experiments to assess the efficacy and reliability of AIML-based solutions. Document and disseminate research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference. Collaborate with and guide cross-functional teams, including engineers, researchers, and product managers, to seamlessly integrate AIML solutions into existing system platforms. Stay at the forefront of advancements in AIML, control systems, and signal processing engineering through literature reviews and active participation in conferences and seminars. Lead research initiatives to conceptualize and develop AI solutions for complex industrial challenges. Demonstrate the impact of AI through advanced prototypes and solutions that address real-world problems. Utilize and advocate for best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions. Drive intellectual property development by authoring invention disclosures and filing patents. Publish research in high-impact scientific journals and present findings at leading conferences. Required Qualifications PhD with 3-7 years relevant experience or Masters with 6 -10 years relevant experience from a reputed institution. Extensive understanding and experience in machine learning, artificial intelligence, and related fields. Proven track record of applying multiple advanced AIML concepts to practical applications. Proficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others. Expertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (e.g., Git) and agile methodologies. Strong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively. Superior communication skills and ability to lead, mentor, and work effectively in a collaborative team environment. Demonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility. Additional Information Relocation Assistance Provided: Yes

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Summary We are seeking a highly motivated and talented Prompt Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the businesss mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernovas businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy Essential Responsibilities: Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Qualifications/Requirements: Bachelors degree in Computer Science, Engineering, Mathematics, or related field with 5+ years' relevant experience. Experience with prompt engineering and familiarity with tools such as OpenAIs GPT models, Hugging Face, etc. Proficiency in Python or other programming languages commonly used in AI/ML development. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements. Candidate must be willing to travel a minimum of 2 weeks per year Must be 18 years or older You must submit your application for employment on the careers page atto be considered Must be willing to work out of an office located in Bangalore, India Ideal Candidate Characteristics: Masters degree in Computer Science, Engineering, Data Science, or related field Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Sr. Machine Learning Engineer Skill-ML Engineer, ML Model, Python, Design Pattern, Data Structure, Implementation, Deep Learning, Spark, Kafka Exp-6-11Yrs In ML Engineer PKG Upto-35 LPA Loc-Bangalore Ritika-8587970773 ritikab.imaginators@gmail.com Required Candidate profile HQ-PGrad Skill-ML Engineer, ML Model,Python,Design Pattern,Data Structure,Implementation,Deep Learning,Spark,Kafka, A/B Testing,Continous Improvement,CI/CD,Data Handling, MLOPS Engineer NP-IMM-30Days

Experience: 3 years to 5 Years Category: zINACTIVE - Information Technology Main location: Bangalore Employment Type: Full Time Job Description: - AI-ML Engineer We are seeking a high-impact AI/ML Software Engineer to join our AI engineering team. The ideal candidate brings deep expertise in modern agentic frameworks such as Google ADK, CrewAI, AutoGen, or LangGraph, and hands-on experience in developing Model Context Protocols (MCP). This role is ideal for individuals passionate about engineering through automation, scaling AI architecture, and contributing to the next generation of agent-based systems. You will work closely with our CICD platform tooling and global architecture teams to enhance and productize our agentic SDLC platform. Key Responsibilities: Design, develop, and maintain Kubernetes-based containerized microservices and CICD automation pipelines that support SDLC. Build modular agent workflows capable of reasoning, collaborating, and adapting dynamically to context and goals. Develop and manage multi-agent systems using frameworks like Google ADK, CrewAI, or AutoGen. Build and optimize MCP pipelines, including context injection, memory caching, semantic retrieval, and embedding-based context scoping. Develop CLIs and SDKs to support MCP testing and integration. Collaborate with cross-functional teams including product, data analytics, and infrastructure to evolve tooling for agent development, prompt evaluation, and telemetry analysis. Fine-tune foundation models (e.g., GPT, Claude, Falcon) for enhanced domain-specific performance. Required Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or a related technical field. 25 years of software engineering experience, with at least 2 years focused on AI/ML or developer platform teams. Strong coding skills in Python and Golang, with a track record of writing clean, secure, and scalable code. Proven experience in MCP implementation, ensuring efficient, coherent, and context-aware data flow in multi-agent LLM systems. Experience with Kubernetes, service mesh technologies (e.g., Istio), and Infrastructure-as-Code (IaC). Familiarity with distributed task orchestration and real-time agent execution environments. Skills: Artificial Intelligence Kubernetes