1047 Keras Jobs - Page 5

Who We Are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as our next Machine Learning Engineer. About The Job This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build data products that work at a global scale and own end-to-end execution of large scale ML solutions. To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations. Responsibilities In this role, you’ll: Build algorithms based on statistical modeling procedures and maintain scalable machine learning solutions in production Transform data science prototypes and applying appropriate ML algorithms and tools Work closely with the ML Engineers, build tools to enhance their productivity and to ship and maintain ML models Conduct exploratory data analysis (EDA) on large-scale datasets to identify patterns and extract features that directly support the problem statement. Manage the infrastructure and data pipelines needed to bring code to production Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created Partner with product managers and architects to analyze business problems, clarify requirements and define the scope of the systems needed Use cloud platform AWS to handle larger scale data Support operational leaders by developing code to automate manual processes Drive high engineering standards on the team through code review, automated testing, and mentoring. Qualifications Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 2 - 5 years of applied ML experience in statistical and mathematical modeling such as supervised and unsupervised machine learning, deep learning Strong proficiency in Python to effectively analyze data and solve complex technical challenges. Track record of building, shipping and maintaining machine learning systems in a highly ambiguous and fast paced environment. You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do. Familiarity with concepts related to testing and maintaining models in production such as A/B testing, retraining, monitoring model performance You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar. Desired Experience with Large Language Models Location This role will be remote, and based in India . Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

We're seeking a Mid-Level Machine Learning Engineer to join our growing Data Science & Engineering team. In this role, you will design, develop, and deploy ML models that power our cutting-edge technologies like voice ordering, prediction algorithms and customer-facing analytics. You'll collaborate closely with data engineers, backend engineers, and product managers to take models from prototyping through to production, continuously improving accuracy, scalability, and maintainability. Essential Job Functions Model Development: Design and build next-generation ML models using advanced tools like PyTorch, Gemini, and Amazon SageMaker - primarily on Google Cloud or AWS platforms Feature Engineering: Build robust feature pipelines; extract, clean, and transform largescale transactional and behavioral data. Engineer features like time- based attributes, aggregated order metrics, categorical encodings (LabelEncoder, frequency encoding) Experimentation & Evaluation: Define metrics, run A/B tests, conduct cross-validation, and analyze model performance to guide iterative improvements. Train and tune regression models (XGBoost, LightGBM, scikit-learn, TensorFlow/Keras) to minimize MAE/RMSE and maximize R² Own the entire modeling lifecycle end-to-end, including feature creation, model development, testing, experimentation, monitoring, explainability, and model maintenance Monitoring & Maintenance: Implement logging, monitoring, and alerting for model drift and data-quality issues; schedule retraining workflows Collaboration & Mentorship: Collaborate closely with data science, engineering, and product teams to define, explore, and implement solutions to open-ended problems that advance the capabilities and applications of Checkmate, mentor junior engineers on best practices in ML engineering Documentation & Communication: Produce clear documentation of model architecture, data schemas, and operational procedures; present findings to technical and non-technical stakeholders Requirements Academics: Bachelors/Master's degree in Computer Science, Engineering, Statistics, or related field Experience: 5+ years of industry experience (or 1+ year post-PhD). Building and deploying advanced machine learning models that drive business impact Proven experience shipping production-grade ML models and optimization systems, including expertise in experimentation and evaluation techniques. Hands-on experience building and maintaining scalable backend systems and ML inference pipelines for real-time or batch prediction Programming & Tools: Proficient in Python and libraries such as pandas, NumPy, scikit-learn; familiarity with TensorFlow or PyTorch. Hands-on with at least one cloud ML platform (AWS SageMaker, Google Vertex AI, or Azure ML). Data Engineering: Hands-on experience with SQL and NoSQL databases; comfortable working with Spark or similar distributed frameworks. Strong foundation in statistics, probability, and ML algorithms like XGBoost/LightGBM; ability to interpret model outputs and optimize for business metrics. Experience with categorical encoding strategies and feature selection. Solid understanding of regression metrics (MAE, RMSE, R²) and hyperparameter tuning. Cloud & DevOps: Proven skills deploying ML solutions in AWS, GCP, or Azure; knowledge of Docker, Kubernetes, and CI/CD pipelines Collaboration: Excellent communication skills; ability to translate complex technical concepts into clear, actionable insights Working Terms: Candidates must be flexible and work during US hours at least until 6 p.m. ET in the USA, which is essential for this role & must also have their own system/work setup for remote work

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Requisition Id : 1620337 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tax-TAX - Indirect Tax - Indirect Tax Global Trade - Gurgaon TAX - Indirect Tax - Indirect Tax Global Trade : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence Expert in Python, Machine Learning, Postgres, Cloud Hands on API development Strong problem solving and troubleshooting skills Excellent team player with strong verbal & written communication skills. Exposure in Docker, Kubernetes, Continuous Delivery practices - Agile Scrum activities Exposure to Libraries Tensorflow, Keras, Numpy, sklearn, pandas, imutils, imgaug, lxml, opencv, matplotlib is Plus Exposure to big data technologies like Spark, Hive, Hadoop is desired Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Engineering / Mathematics / Statistics Experience Developement in technical stacks/Full stack developement/databases What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.

Requisition Id : 1620303 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tax-TAX - Indirect Tax - Indirect Tax Global Trade - Gurgaon TAX - Indirect Tax - Indirect Tax Global Trade : Our globally connected tax professionals offer associated services across all tax disciplines to help the clients prosper in an era of rapid change. We combine our exceptional knowledge and experience with the people and technology platforms to equip clients in making better business decisions by bringing insights to the forefront. We help companies recognize the tax policies and tax laws of governments around the world to plan and comply accordingly. Our teams leverage transformative technologies to deliver strategy and execution, from tax and regulatory obligations to operations and workforce management, to reduce risk and drive sustainable value. EY has competencies in Business Tax Services, Global Compliance and Reporting, Global Law, Indirect Tax, International Tax and Transaction Services. Your key responsibilities Technical Excellence Expert in Python, Machine Learning, Postgres, Cloud Hands on API development Strong problem solving and troubleshooting skills Excellent team player with strong verbal & written communication skills. Exposure in Docker, Kubernetes, Continuous Delivery practices - Agile Scrum activities Exposure to Libraries Tensorflow, Keras, Numpy, sklearn, pandas, imutils, imgaug, lxml, opencv, matplotlib is Plus Exposure to big data technologies like Spark, Hive, Hadoop is desired Skills and attributes To qualify for the role you must have Qualification Graduate/Postgraduate in Engineering / Mathematics / Statistics Experience Developement in technical stacks/Full stack developement/databases What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Job Summary: The AVP will be responsible for driving the strategic vision, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, experience with banking projects is preferred with a proven track record of leading technical teams. Key Responsibilities: Leadership and Strategy: Define and drive the AI/ML and GenAI strategy in alignment with the company's overall vision and business goals. Lead and mentor a team of AI/ML engineers and data scientists, fostering a culture of innovation and excellence. Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our LCNC and Pro Code platform. Technical Expertise: Oversee the design, development, and deployment of AI/ML models and GenAI technologies to solve complex business problems. Ensure the scalability, reliability, and performance of AI/ML solutions. Stay abreast of the latest advancements in AI/ML and GenAI technologies and evaluate their potential impact on our platform. Project Management: Manage multiple AI/ML projects simultaneously, ensuring they are delivered on time, within scope, and within budget. Develop and maintain project plans, track progress, and report on project status to senior management. Stakeholder Engagement: Work closely with internal stakeholders, including product management, engineering, and business development teams, to understand their needs and provide AI/ML solutions. Engage with external stakeholders, such as clients and partners, to demonstrate the value of our AI/ML capabilities. Compliance and Risk Management: Ensure that all AI/ML initiatives comply with relevant regulations and industry standards. Identify and mitigate risks associated with AI/ML implementations. Qualification & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus. 10 to 15 years of experience in AI/ML technologies, with a significant portion spent in the banking or financial services industry. Required Skills: Proven leadership experience, including leading technical teams and managing complex projects. Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies. Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others. Proficient in programming languages such as Python, R, and SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance. Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads. Understanding of ethical AI principles and data privacy regulations. Excellent problem-solving skills and the ability to think strategically and analytically. Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders. Preferred Skills: Experience with Low-Code/No-Code platforms. Knowledge of banking regulations and compliance requirements. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). About Pennant: Pennant Technologies is an agile, innovative financial technology company that powers the lending operations of global banks and financial institutions - HDFC, Bajaj Finserve, LIC HFL, Godrej HFL, RAK Bank, QNB to name a few. Its suite of future ready lending products and solutions offer banks composable features and scalable capabilities to deliver differentiated loan origination, servicing and collections experiences for their customers. Trusted by leading banks and financial institutions in Asia, Pennant’s award-winning lending platform has managed more than 10 Million loans and facilitates 50 Million loan transactions per year. Pennant is HQ in Hyderabad and have offices and/ business operations in India, ME, Saudi, Australia, Philippines and UK . We are aggressively expanding across the geographies and adding to our 450+ workforce, spread across multiple locations. Visit us at http://pennanttech.com Growth Opportunity: Banking is the biggest consumer of technology, and the share is simply growing. Banks generate maximum profits out of Lending operations hence it’s imperative for them to ensure they use the right technologies right from the customer onboarding, servicing till retiring the end customers. In the past few years FI’s have not been able to refresh lending tech stack and that’s leading to challenges, higher operational cost and customer dissatisfaction. Stupendous growth in lending activities across the segments, markets and LOB’s has created once in a decade business opportunity for Pennant. Do you want to be part of our growth story?

Senior Data Scientist (Deep Learning and Artificial Intelligence) Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

Manager EXL/M/1364660 ServicesGurgaon Posted On 27 May 2025 End Date 11 Jul 2025 Required Experience 4 - 8 Years Basic Section Number Of Positions 5 Band C1 Band Name Manager Cost Code D010938 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 20.0000 - 30.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Services SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill RISK ANALYTICS PYTHON SQL PYSPARK CREDIT CARDS STRATEGY Minimum Qualification B.TECH/B.E Certification No data available Job Description Responsibilities : Work in the capacity of Individual contributor in the project. Take lead in executing complex tasks and engage with the client to develop an understanding of needs and deliverables. Identify relevant data sources and sets to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate analytic solutions to senior stakeholders. Candidate Profile: 4– 9 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, mathematics, engineering, computer science, operations research or related areas is preferred; candidates with BA/BS degrees from the top tier academic institutions are also welcome to apply.Experience in programming in Python, SQL and/or SAS. Understanding of basic statistical techniques like t-tests, chi-square tests, hypothesis testing, regression analysis, etc.Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering,Random Forest, XGBoost,GBM, Neural Networks, Keras. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills. Workflow Workflow Type L&S-DA-Consulting

Experience : 3-4 years JOB DESCRIPTION : ● Should have good command in the Python language. ● Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. ● Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. ● Proficiency in object-oriented design, data structures, algorithm design and problem solving. ● Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. ● Well-versed with Prompt Engineering. ● Should have knowledge of Agent Development using any of the tech, e.g., Langchain, AutoGen, CrewAI, etc. ● Knowledge of Computer Vision, OC ● R, etc. ● Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. ● Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc ● Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc ● Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc ● Stay updated with the latest developments in AI, machine learning, and related technologies. ● Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Job Types: Full-time, Permanent Pay: ₹666,079.95 - ₹1,001,000.33 per year Benefits: Flexible schedule Paid sick time Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Haryana, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): We are looking for immediate joiner or who can join within 15 days Experience: Python: 3 years (Preferred) Work Location: In person Application Deadline: 06/07/2025 Expected Start Date: 24/06/2025

Experience: 0-0 years Skills: Good knowledge In C,C++,Java,Asp,Vb Coding, Good knowledge In C,C++,Java,Asp,Vb Java concepts Good Communication Skills Flexible to work in shifts. Willing to work in Information Technology. Eligibility Criteria: Overall Academic 60% Only 2025/2024 Pass out Immediate joiner will prefer. Rounds of Interview: Level 1: Aptitude test (1st Day) Level 2: Programming Test ( If selected in Level 1) Level 3: System Execution of Program ( If selected in Level 2) Level 4: HR Interview

ABOUT US: The vision from the start has been to create a state-of-the-art infrastructure of the workplace with the implementation of all the tools for employees and clients makes Bytes Technolab a growth hacker. This has really helped the dev team in adapting to the existing & upcoming technologies & platforms to create top-notch software solutions for businesses, startups, and enterprises. Our core value lies with 100% integrity in communication, workflow, methodology, and flexible collaboration. With the client-first approach, we are offering flexible models of engagement that can help our clients in the best way possible. Bytes Technolab is confident that this approach would help us develop user-centric, applicable, advanced, secure, and scalable software solutions. Our team is fully committed to adding value at every stage of your journey with us, from initial engagement to delivery and beyond. Role Description: 3+ years of professional experience in Machine Learning and Artificial Intelligence. Strong proficiency in Python programming and its libraries for ML and AI (NumPy, Pandas, scikit-learn, etc.). Hands-on experience with ML/AI frameworks like PyTorch, TensorFlow, Keras, Facenet, OpenCV, and other relevant libraries. Proven ability to work with GPU acceleration for deep learning model development and optimization (using CUDA, cuDNN). Strong understanding of neural networks, computer vision, and other AI technologies. Solid experience working with Large Language Models (LLMs) such as GPT, BERT, LLaMA, including fine-tuning, prompt engineering, and embedding-based retrieval (RAG). Working knowledge of Agentic Architectures, including designing and implementing LLM-powered agents with planning, memory, and tool-use capabilities. Familiar with frameworks like LangChain, AutoGPT, BabyAGI, and custom agent orchestration pipelines. Solid problem-solving skills and the ability to translate business requirements into ML/AI/LLM solutions. Experience in deploying ML/AI models on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform). Proficiency in building and managing ETL pipelines, data preprocessing, and feature engineering. Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across diverse hardware architectures. Experience with Natural Language Processing (NLP) and foundational knowledge of Reinforcement Learning. Familiarity with data versioning tools like DVC or Delta Lake. Skilled in containerization and orchestration tools such as Docker and Kubernetes for scalable deployments. Proficient in model evaluation, A/B testing, and establishing continuous training pipelines. Experience working in Agile/Scrum environments with cross-functional teams. Strong understanding of ethical AI principles, model fairness, and bias mitigation techniques. Familiarity with CI/CD pipelines for machine learning workflows. Ability to effectively communicate complex ML, AI, and LLM/Agentic concepts to both technical and non-technical stakeholders. We are hiring professionals with 3+ years of experience in IT Services. Kindly share your updated CV at freny.darji@bytestechnolab.com

Greetings from Sona Comstar!!! Please find the job Description in below. Company Details: Sona BLW Precision Forgings Ltd is an automotive technology company in India. It is primarily engaged in designing, manufacturing, and supplying high-quality mission-critical automotive components such as differential assemblies, gears, conventional and micro-hybrid starter motors, and others. Headquartered in Gurugram, India with 4,500 Employees, the company has 2 Business Verticals Driveline Business & Motor Business. With 10 Manufacturing Facilities in 4 Countries India, USA, China, Mexico the company focuses on Conventional Products like Differential Bevel Gears, Differential Assemblies, Portal Axle Gears, Starter Motors and EV Focused Products like Differential Assemblies, Reduction Gears, Traction Motors, Motor Controllers, E-Axles, Integrated Motor Controller Module. Our company is certified for Leading Industry Certifications like IATF 16949, ISO 14001, ISO 45001, ISO 50001, TPM, ENMS, OHSAS 18001, ASES, VQE. With significant production volumes since inception and leading market shares in our products we are supplying to most of the major global OEMs, geographically deriving most of the revenue from Outside India. Company Website: https://sonacomstar.com/ Experience: 3+ Years Qualification: B.E/B. Tech Location: Chennai – Padur Job Description: Position Responsibilities: Develop Python scripts for data manipulation, automation, and creating machine learning models. Implement and maintain AI/ML algorithms such as regression, classification, clustering, and neural networks. Build and deploy machine learning models using libraries like TensorFlow, Keras, scikit-learn, and PyTorch. Utilize Power BI to create interactive dashboards, reports, and data visualizations to communicate insights. Collaborate with cross-functional teams to gather requirements, develop data pipelines, and ensure effective use of ML models in business processes. Conduct linear regression analysis to identify trends and relationships in large datasets. Continuously optimize and improve existing machine learning models for better performance and scalability. Provide regular updates on model performance, conduct testing, and fine-tune the algorithms for enhanced accuracy. Document code and model development process to maintain transparency and support ongoing team development. Required Experience: 3-5 years of experience in Python programming, specifically for data analysis, automation, and machine learning. Strong knowledge of machine learning algorithms (e.g., linear regression, decision trees, random forests, SVM, etc.). Hands-on experience with Power BI for developing dashboards, reports, and business analytics solutions. Experience with data pre-processing, feature engineering, and model evaluation. Solid understanding of statistics and linear regression analysis, including interpreting results and deriving actionable insights. Familiarity with SQL and database management systems to extract, clean, and analyze data. Proven ability to work collaboratively in a team environment and communicate technical results to non-technical stakeholders. Desired Experience: Knowledge of big data technologies for handling large-scale datasets. Familiarity with business intelligence tools like Tableau, Qlik, or others, in addition to Power BI. Ability to apply advanced statistical techniques to improve model accuracy (e.g., regularization, cross-validation). Experience in deploying ML models to production environments and monitoring their performance over time. KEERTHANA S 7845793459

Senior Data Scientist (Deep Learning and Artificial Intelligence) Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them is important. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education : BE/B Tech MS/M Tech (will be a bonus) Experience : 3+ Years Job Type: Full-time Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you have experience leading teams in AI Development? Do you have experience creating software architecture for production environment in AI applications? Experience: Deep learning: 3 years (Required) Computer vision: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person

Years of experience: 15+ Years Location: Hyderabad Level: Associate Director Required Qualifications: Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Proven experience in data science, machine learning, or applied statistics. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Expertise working on Generative AI Engineering/ Architecture including LLMs and hyperparameters (Azure / AWS / GCP / Open Source), Embedding models and vector database knowledge, Prompting Techniques (Zero shot, few shot, chain of thought), Langchain, Pydantic. Familiarity with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras, PyTorch). Experience with cloud platforms like AWS, GCP, or Azure. Strong analytical, problem-solving, and communication skills. For further information, kindly reach us at ruchita.khole@credencehrservices.com

Key Responsibilities: Collaborate with content creators and creative leads to conceptualize video ideas Create detailed and visually engaging storyboards for video scripts and concepts Assist in the setup, coordination, and direction of video shoots Ensure that the visual storytelling aligns with the brand tone and message Stay updated on trends in short-form and digital video content (Reels, Shorts, YouTube, etc.) Requirements: 1-3 years of experience in video production or creative storytelling Strong skills in storyboarding, visual storytelling, and camera planning Basic understanding of lighting, framing, and scene composition Good communication and collaboration skills Familiarity with tools like Adobe Premier pro, After effects, Photoshop, AI tools

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities:- Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots.- Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements.- Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality.- Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage.- Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: - Must To Have Skills: Strong experience in Machine Learning.- Good To Have Skills: Experience with deep learning, neural networks, chatbots, and image processing.- Experience with Cloud AI services and tools.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools.- Experience in developing and deploying AI models in a production environment. Additional Information:- The candidate should have a minimum of 5 years of experience in Machine Learning.- The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Mumbai office. Qualification BE

Job description Job Role: AI/ML/NLP Engineer /Data Scientist Exp: 4+ Years (Min 4+ Years of relevant work exp in ML/AI/Python are mandatory) Job Location: work from home (remote), ONLY CHENNAI BASED CANDIDATES ARE PREFERRED/WILL BE CONSIDERED Work Timings: 12 PM to 9 PM IST (As per South Africa Time Zone) Notice Period: Looking for immediate to 30 days of notice. If your notice period is beyond 30 days, please do not apply Company Name: Indsafri ************KINDLY DO NOT APPLY IF YOU HAVE LESS THAN 4+ YEARS OF RELEVANT WORK EXP IN AI/ML/NLP ENGINEER ***********************KINDLY DO NOT APPLY IF YOU ARE NOT BASED OUT OF TAMILNADU/CHENNAI**************************************FRESHERS DO NOT APPLY****************************OTHER STATE CANDIDATES EXCLUDING TAMIL NADU PLEASE DO NOT APPLY*********************** Job Purpose: We are seeking an AI/ML/NLP Engineer to join our dynamic team and contribute to the development and enhancement of our AI-driven platforms. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning, artificial intelligence with NLP. Responsibilities Study and transform data science prototypes Design machine learning systems, Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Develop machine learning models and AI solutions Test, deploy, and maintain AI systems Collaborate with data scientists and other engineers to integrate AI into broader system architectures Stay current with AI trends and suggest improvements to existing systems and workflows Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Manage a team in conducting assessments of the AI and automation market and competitor landscape Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation Qualifications Min 5+ Years of relevant work exp in Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing (NLP). Proven experience as a Machine Learning Engineer or AI Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Experience in machine learning platforms, frameworks, and libraries Hands on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Required Skills/Must have skills: Min 5+ Years of relevant work experience in Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing (NLP). Hands on experience in data structures, algorithms, statistics, data modelling and software architecture. Min 5+ Years of work experience in python programming Min 5+ Years of work experience in databases like SQL, NoSQL & RDBMS Min 5+ Years of work experience in Gen AI concepts Good hands on experience in Rest API, Gen AI concepts is must Expertise in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Note: This is a 1 year renewable contract role (contract can be renewed further based on your performance during your employment) Interested candidates can share your updated resume to priyadharshiny.karunakaran@indsafri.com with below details Name - Tot Exp - Rel years of work exp as AI/ML/NLP Engineer(IT) - Rel years of work exp in AI - Rel years of work exp in Machine Learning (ML) - Rel years of work exp in NLP - Rel years of work exp in Python programming- Rel years of work exp in data modelling- Rel years of work exp in Data structures - Rel years of work exp in Gen AI - Rel years of work Exp in data and software architecture - Rel years of work exp in SQL - Rel years of work exp in statistical analysis - Rel years of work exp in frameworks like Pandas, NumPy, LLaMA, BERT- Rel years of work exp in REST API Development - Rel years of work exp in NoSQL database - Rel years of work exp in Jira - Rel years of work exp in RDBMS- Rel years of work exp in machine learning frameworks (like Keras or PyTorch) - Rel years of work exp in machine learning libraries (like scikit-learn) - Rel years of work exp in cloud services like AWS, Azure /GCP - Rel years of work exp in Hadoop, SAP BW, SAP Reporting, Advanced Reporting - Willing to work for 1 year renewable contract role (contract can be renewed further based on your performance) YES/NO - Notice period (in days) - Current location - Mob No - Email id - Current Salary (in LPA)- Expected Salary (in LPA)- Reason for job change - Date of Birth - WHY INDSAFRI: We believe anything is possible We humans have the potential to create and build anything we can imagine. we have walked the entire planet, climbed the greatest mountains, sailed once infinite oceans, inspired by birds we decided to fly, in our once impossible quest for space, now we even float in the outer space. Everything started with a simple belief that something is possible, from simple beginnings, we have come a long way, to building technology that is indistinguishable from magic. And we believe that technology is at its best when it can make people smile. If we do it with all our passion & intelligence, together nothing is impossible. How do we do it? In the future, every business will be a technology company, & the future is now. From food to finance every business is rapidly transforming & embracing cutting-edge technology at its core & good humanistic design at its heart. Indsafri can transform your business for growth, as we have done for numerous organizations big and small, by working as your trusted technology partner and bringing our deep industry experience. If you have a challenging business problem we believe there is always a solution, with the right process, talents & technology anything is possible. The Impact we create: We work with some of the Best Organizations around the world, with a distributed global network of Partners & Talents, using state-of-the-art cutting-edge Technology & High-end Human-Centred Design. Website https://www.indsafri.com

Job Title: Security Engineer III Work Office- 5 days Location- Gurgaon About Us: Nykaa is a leading e-commerce platform that combines fashion and technology to deliver a seamless shopping experience. To fortify our commitment to security, we are seeking a dedicated Cyber Security engineer to join our team. If you have a strong background in securing infrastructure and are passionate about protecting e-commerce platforms, we encourage you to apply. Job Overview: We are looking for a talented and forward-thinking Cybersecurity Engineer to join our team. This role focuses on advancing our security infrastructure through cloud security, perimeter defenses, and cutting-edge security engineering practices powered by Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will bring expertise in leveraging new technologies to enhance threat detection, automate responses, and predict vulnerabilities across cloud and network environments. Key Responsibilities: ● Security Engineering: ○ Build and integrate security solutions, such as firewalls, encryption tools, and intrusion detection systems, to protect critical infrastructure and data. ○ Collaborate with development teams to integrate security measures into the software development lifecycle (SDLC). ○ Ensure automation of security workflows, vulnerability management, and incident response processes. ○ Lead security initiatives to address evolving threat landscapes, ensuring systems are resilient against emerging cyber risks. ● Cloud Security: ○ Design, implement, and manage secure cloud architectures for platforms such as AWS, Azure, and Google Cloud. ○ Utilize AI/ML-driven security tools to enhance cloud monitoring, incident response, and threat detection in cloud environments. ○ Ensure secure cloud infrastructure by automating security configurations and leveraging AI for predictive vulnerability assessments. ○ Work with DevOps and infrastructure teams to implement automated security controls. ● Data Protection Controls: ○ Design and manage data encryption, tokenization, and masking practices to protect sensitive data both at rest and in transit. ○ Design and enforce data classification schemes, access controls, and data retention policies to mitigate risks to sensitive information. ○ Monitor and enforce security controls related to data handling, ensuring data is securely stored, processed, and transmitted in accordance with best practices. ● Collaboration & Reporting: ○ Work closely with cross-functional teams to embed AI-powered security practices in development pipelines, system architecture, and cloud-based environments. ○ Provide detailed insights and reports on AI/ML-driven security improvements, potential risks, and recommended mitigations to management and stakeholders. ○ Assist in creating and updating security policies, procedures, and standards to ensure they reflect emerging AI/ML technologies and best practices. ○ Conduct training and workshops for other security teams on AI/ML techniques in security operations. Required Skills & Qualifications: ● 4+ years of experience in cybersecurity with a strong focus on cloud security, perimeter security, and security engineering. ● Practical experience with cloud platforms (AWS, Azure, Google Cloud) and security services (IAM, encryption, security groups, etc.). ● Strong understanding of network security protocols (e.g., firewalls, VPNs, IDS/IPS) and their integration with AI/ML models for enhanced defense. ● Hands-on experience with AI/ML techniques for cybersecurity applications, including supervised and unsupervised learning, anomaly detection, and threat classification. ● Proficiency in programming and scripting languages (Python, R, TensorFlow, Keras, or similar AI/ML tools). ● Familiarity with cloud-native security tools that leverage AI/ML for threat detection (e.g., AWS GuardDuty, Azure Sentinel). ● Experience with threat intelligence, vulnerability management, and incident response frameworks. ● Experience in building and deploying security models in automated, scalable environments. This role is perfect for a cybersecurity professional who is passionate about leveraging AI and machine learning to revolutionize security operations, proactively defending cloud environments and networks against emerging threats. If you're eager to work with advanced technologies to secure the future of digital infrastructures, we'd love to hear from you!

Description Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Requirements Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Job responsibilities Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Experience : 3-4 years JOB DESCRIPTION : ● Should have good command in the Python language. ● Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. ● Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. ● Proficiency in object-oriented design, data structures, algorithm design and problem solving. ● Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. ● Well-versed with Prompt Engineering. ● Should have knowledge of Agent Development using any of the tech, e.g., Langchain, AutoGen, CrewAI, etc. ● Knowledge of Computer Vision, OC ● R, etc. ● Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. ● Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc ● Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc ● Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc ● Stay updated with the latest developments in AI, machine learning, and related technologies. ● Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Job Types: Full-time, Permanent Pay: ₹666,079.95 - ₹1,001,000.33 per year Benefits: Flexible schedule Paid sick time Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Haryana, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): We are looking for immediate joiner or who can join within 15 days Experience: Python: 3 years (Preferred) Work Location: In person Application Deadline: 06/07/2025 Expected Start Date: 24/06/2025

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 22-25 LPA Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Location Type: In-person Work Location: In person

Job Summary: We are looking for a highly skilled and experienced AI/ML Developer with 3-4 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine learning. Key Responsibilities: Develop and Implement AI/ML Models Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization and Evaluation * Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing and Feature Engineering * Collect, clean, and preprocess structured and unstructured data from various sources. * Engineer relevant features to improve model performance and interpretability. Collaboration and Communication * Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. * Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment and Monitoring * Deploy models to production using MLOps practices and tools (e.g., MLflow, Docker, Kubernetes). * Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current with AI/ML Advancements * Stay informed of current research, tools, and trends in AI and machine learning. * Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews and Best Practices * Participate in code reviews to ensure code quality, scalability, and adherence to best practices. * Promote knowledge sharing and mentoring within the development team. Qualifications · Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. · 3-4 years of experience in machine learning, artificial intelligence, or applied data science roles. Required Skills: · Strong programming skills in Python (preferred) and/or R. · Proficiency in ML libraries and frameworks, including: scikit-learn, XGBoost, LightGBM, TensorFlow or Keras, PyTorch · Skilled in data preprocessing and feature engineering, using; pandas, numpy, sklearn.preprocessing · Practical experience in deploying ML models into production environments using REST APIs and containers. · Familiarity with version control systems (e.g., Git) and containerization tools (e.g., Docker). · Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. · Understanding software development methodologies, especially Agile/Scrum. · Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Work Location: In person

Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 22,700 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development. Proven track record and experience with with GenAI technologies Open source LLMs like Llama, Gemma, Mixtral etco Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etco Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..) Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: · Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. · Experience in cloud services like Azure, GCP and AWS· Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Additional Information: A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only Qualifications BE,BTech,MS, MTech or MCA Additional Information 7 to 10 years