1846 Keras Jobs - Page 13

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Greetings from Ubique Systems!! Hiring: AI/ML Developer (OCR Focus) – Immediate-30 days NP Joiners Preferred Location: Remote Experience: 5+ Years (Relevant in AI/ML) We at Team Computers are looking for a hands-on AI/ML Developer with strong experience in AI model building, deployment, and OCR (Optical Character Recognition) . You’ll be working on AI applications in a complex supply chain environment. Key Responsibilities: Build, deploy & improve AI/ML models with end-to-end ownership Translate real business problems into AI/ML solutions Lead OCR-based projects (high focus area) Work with tools like TensorFlow, Keras, PyTorch, GluonTS, Darts Collaborate with Data Engineers & integrate solutions with Azure Cloud Required Skills: Strong in Python , with good understanding of ML algorithms, NLP, Deep Learning Knowledge of OCR , neural networks, and model deployment Hands-on experience with AI frameworks : TensorFlow, Keras, PyTorch, etc. Exposure to Azure , SQL/Mongo/ElasticSearch Good communication & ability to explain project experience in detail Preferred: Experience in Supply Chain or Transportation Exposure to C#/.NET is a plus Interview Schedule: Rolling basis — early applications preferred! Notice Period: Immediate joiners highly preferred Interested candidates can DM or share your updated resume at [nikita.bhattacharya@ubique-systems.com] #Hiring #AIML #MachineLearning #OCR #Python #ImmediateJoiner #RemoteJob

About Us: Red & White Education Pvt. Ltd., established in 2008, is Gujarats top NSDC & ISO-certified institute focused on skill-based education and global employability. Role Overview: Were hiring a full-time Onsite AI, Machine Learning, and Data Science Faculty/ Trainer with strong communication skills and a passion for teaching, Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Flexible schedule Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML : 1 year (Required) Data science: 1 year (Required) Work Location: In person

Job Title : Gen AI / LLM Specialist Location – Chennai / Bangalore Notice Period – Immediate / 30days only Mandatory Skills : Gen AI : Experience with Generative AI, including Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain / LangFlow, Llama models Large Language Models (LLMs) : Expertise in using and fine-tuning LLMs, including GPT-4 AI/ML & Deep Learning : Strong grasp of algorithms, neural networks, and transfer learning Programming : Python (advanced), including libraries like TensorFlow, PyTorch, Keras, Pandas Vector Databases : Experience with embedding stores such as FAISS, Pinecone, or similar MLOps : Awareness or hands-on experience in model deployment, monitoring, versioning Prompt Engineering : Designing and optimizing prompts for LLM-based applications Preferred Skills : Cloud Platforms : Experience with AWS , GCP , or Azure API Development : FastAPI, REST APIs Containerization & Orchestration : Docker, Kubernetes Big Data & Pipelines : Hadoop, Apache Spark, Apache Flink SQL & Data Engineering : Strong SQL knowledge and exposure to data pipelines Domain Knowledge : Experience in Banking/Finance is a strong plus Roles & Responsibilities : Design and build Gen AI applications using LangChain, vector databases, and LLMs Develop scalable machine learning and deep learning solutions using TensorFlow, PyTorch Collaborate on API development and integration with enterprise systems using FastAPI Design, evaluate, and deploy models using MLOps best practices Engage in data wrangling, statistical modeling, and visualization for model development Develop and maintain data pipelines using big data tools (e.g., Spark, Flink) Collaborate across teams to deploy and monitor models in production environments Translate complex AI concepts for non-technical stakeholders Stay up-to-date with the latest advancements in Gen AI, LLMs, and related technologies Educational Qualifications : Bachelor’s or Master’s degree in Computer Science , AI/ML , or a related technical field share resume: shachi.d@liveconnections.in

Role Purpose The Software Architect is responsible for driving the technical roadmap and direction in all aspects of the development of platforms and applications in this multi-dimensional role. Subject to their specialization, they will lead the design, development, testing, publishing, and support of different cloud-based products and solutions. They will be providing subject matter expert for customer implementation and cloud platform support. They will be closely with a global team of engineers to build robust solutions that meet our business objectives following continuous integration and continuous deployment processes. Additionally, they will provide recommendations for actions to management as to process, technologies, or other improvements intended to benefit productivity, efficiency and quality of the solutions developed by the team and lead the implementation of new solutions. Job Metrics Lead technical requirements and translate them into software system design Meet quality gates for deliverables by ensuring that all content and information distribution channels are available at high quality and are current Provide technical leadership and mentor senior members of the Engineering team Assist with complex customer issues Define and adhere to coding standards and guidelines Specific MBOs as agreed with Manager Technical Requirement: Degree in Computer Science or Engineering or Equivalent with 15+ years of working Core Technology : Strong experience with Java (Springboot, JPA ), MERN (MongoDB, Express Js, React Js, Node Js) and/or Python. Extensive experience with microservices architecture, event driven architecture and RESTful APIs. FrontEnd: 8+ years of experience with Vue.js/React.js, JavaScript, HTML5, CSS, TypeScript, Node.js, RESTful Web Services, SQL (PostgreSQL/MySQL), and NoSQL (MongoDB / DynamoDB). 10+ Years of working experience in Web Technologies Solid understanding of Object Oriented Programming Language AI: 5+ years working experience with Python, Machine Learning technologies, NLP, Python libraries (Pandas, Keras, TensorFlow etc.) DevOps: Experience with cloud tools (Kubernetes, Docker, GitHub) and CI/CD tools (Harness, Jenkins). Monitoring /Observability: Strong knowledge of Monitoring Tools such as Datadog and/or OpsGenie. Cloud: Strong experience of Cloud (preferably AWS/Azure/GCP) is a must. Working experience of Cloud (OKD / OpenShift preferred) development Working knowledge of Web Sockets, Event Driven applications preferred Design and implement scalable, robust, and secure microservices architectures. Able to utilize design patterns to solve complex software design problems. Knowledge of Amazon SQS for message queuing and Caching tools like Redis/Valkey 10+ years of experience with Kafka/SQS and other message brokers (e.g., RabbitMQ) Experience with voice and video recording platforms is advantageous Good understanding of Computer Vision, Speech Analytics and Deep Learning tools & techniques Previous experience in at least 5-6 computer vision / Deep Learning use cases on detection, tracking, classification, recognition, intent understanding using Keras/Tensorflow/PyTorch frameworks Strong programming background and should be able to design and deliver solutions quickly Apply: https://fa-epcb-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/3463/?utm_medium=jobshare&utm_source=External+Job+Share

The position based in Chennai requires an ML Engineer with 3 to 8 years of experience to design and implement AI/ML models using Python, TensorFlow, PyTorch, and Scikit-learn. The role involves optimizing models, running experiments, transforming data through classification and clustering techniques, and staying updated on the latest advancements in AI/ML technologies. The ideal candidate should possess over 3 years of experience in Software Design & Development in Python, demonstrating the ability to make pragmatic technical decisions beyond immediate scope. The candidate should excel in debugging complex issues and mentoring junior engineers, with a solid understanding of Data Structures and Object-Oriented Programming. Proficiency in Test-Driven Development (TDD), Unit & Integration testing, experience with Databases, Statistics, and Data Science, along with strong Python skills to write robust and testable code are essential. Moreover, the candidate should have hands-on experience with ML frameworks such as Keras, PyTorch, and Scikit-learn, and familiarity with AutoML would be a plus. Knowledge of AI Cloud platforms like H2O, DataRobot, AWS, and Azure is desirable. The candidate should hold a Bachelor's degree or higher in any discipline. Key skills required for the role include Python, AI/ML, Keras, PyTorch, Scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, and proficiency with databases like MySQL, Oracle, or PostgreSQL. Familiarity with XML and Unit Testing is also necessary. Candidates who are passionate about restarting their careers after a long break are encouraged to apply.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As an IT Manager specializing in Generative AI Engineering at Alexion, you will lead the development and refinement of cutting-edge Generative AI systems to tackle complex business problems. You will work closely with the IT Director of Data Science to implement state-of-the-art Machine Learning solutions, focusing on Generative AI. Your role will involve contributing to the full lifecycle development of Generative AI agents, integrating pre-trained models into custom applications, and designing interactive systems for dynamic content. Additionally, you will be responsible for maintaining MLOps infrastructure, implementing user interfaces for seamless interaction with Generative AI functionalities, and monitoring the operational health of AI applications in production. Collaboration with senior engineers, stakeholders, and cross-functional teams will be essential to gather feedback, improve application features, and ensure ethical use of Generative AI models within the Machine Learning ecosystem. To excel in this role, you should hold a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. With at least 3 years of experience in Machine Learning, data science, or software development, you should possess a strong understanding of ML Engineering concepts and tools, Python programming, cloud computing platforms like AWS, Azure, or GCP, and agile methodologies. Communication, collaboration, analytical, and problem-solving skills are crucial for success in this dynamic and innovative environment. Desirable skills include experience in the pharmaceutical industry, a Master's degree in a related field, and a deep knowledge of AI techniques such as NLP, optimization, and deep learning. By joining Alexion, you will have the opportunity to work in an environment where innovation thrives, impacting patients" lives with life-changing medicines. With a commitment to rare diseases and a global presence, AstraZeneca offers a unique and ambitious world for your career growth and development. If you are proactive, eager to learn, and ready to make a difference in the field of Generative AI Engineering, apply now to join us on this exciting journey at Alexion. Date Posted: 18-Jul-2025 Closing Date: 30-Jul-2025,

You will be responsible for building deep learning models using TensorFlow/PyTorch. Collaborate with the team to ensure proper testing and deployment of the models. Demonstrate good knowledge and understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domain, as well as TensorFlow and deep learning frameworks like Keras, PyTorch to solve real-life problems. Create and update documentation for the work done. Understand deep learning algorithms implementation from scratch such as LSTM, RNNs, DNNs, BI-LSTMs. Work on Computer Vision and Image processing, as well as TRANSFER LEARNING - GANs. Minimum qualifications include a Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) is required. Preferred qualifications include a Master's or B.Tech in relevant field. Your responsibilities will include researching on given machine learning/data science topics for writing articles for company websites. Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles. Work on short projects & assignments, deployment techniques, and design and implement machine learning, information extraction, probabilistic matching algorithms and models. Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems. Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN. Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques. Use innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning. Handle online code assistance, code mentoring, and education-based solutions. Perks include Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.,

You should have at least 2+ years of experience in Machine Learning and Natural Language Processing. Your programming skills should be strong in Python. It is essential to have knowledge of SQL and NoSQL databases. Your expertise should include writing robust code in Python and working with both structured and unstructured data, involving data extraction, integration, and normalization. You should be proficient in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, and Spacy. Additionally, you should possess expert skills in manipulating data frames using Pandas and arrays using NumPy. Experience with big data frameworks such as Spark and Hadoop would be considered a plus. Moreover, familiarity with containerizing applications using docker is also desirable.,

As a Machine Learning Engineer, you will be leveraging your expertise to contribute towards the development of cutting-edge capabilities within the realm of machine learning. Your responsibilities will encompass various facets of the software development lifecycle for ML solutions, including design, deployment, testing, maintenance, and enhancement. Your primary duties will involve the application of machine learning, deep learning, and signal processing techniques on extensive datasets comprising audio, sensors, images, videos, and text for model development. You will also play a crucial role in architecting large-scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaborating closely with data scientists/analysts, you will support the development of ML data pipelines, platforms, and infrastructure, along with evaluating and validating analyses using statistical methods. Creating microservices and APIs for serving ML models and services, evaluating new machine learning methods, and implementing feature engineering to enhance model performance will be integral aspects of your role. You are expected to possess a strong background and knowledge of recent advancements in machine learning, deep learning, natural language processing, and image/signal/video processing, backed by approximately 5 years of professional experience in real-world applications. In addition, proficiency in programming, familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch, exceptional mathematical skills, and the ability to architect and implement end-to-end solutions for accelerating experimentation and model building are crucial requirements. An understanding of a variety of machine learning techniques like clustering, decision tree learning, and artificial neural networks, coupled with the capability to conduct independent and collaborative research, is highly valued. Strong written and verbal communication skills are essential for effective collaboration and articulation of ideas. This role offers a dynamic opportunity to contribute to the advancement of ML capabilities and work on challenging projects in a stimulating environment.,

You are a skilled AI Developer with 24 years of experience, and you will be joining a dynamic team. Your main responsibility will be to design, develop, and fine-tune AI models for image and text data, focusing on Generative AI technologies such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. You will be implementing, training, and optimizing deep learning models for Natural Language Processing (NLP), Computer Vision (CV), and multimodal AI tasks. Your role will also involve managing the end-to-end lifecycle of AI projects, including data collection, pre-processing, model training, evaluation, and deployment. Collaboration with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and products will be crucial. Staying updated with the latest advancements in AI research and applying innovative techniques to solve complex problems will be expected from you. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 2 - 4 years of hands-on experience in developing AI solutions, particularly in Generative AI models. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras is necessary. A strong understanding of deep learning algorithms, especially in generative models like GANs, VAEs, and transformer architectures, is required. Experience in pre-processing and augmenting large datasets for training AI models will be advantageous. Moreover, familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment is preferred. Excellent problem-solving skills and the ability to work collaboratively in a team are essential. Experience with Natural Language Processing (NLP) techniques and frameworks, knowledge of MLOps practices and tools for continuous integration and deployment of AI models, and familiarity with ethical AI practices, including strategies for mitigating bias and ensuring responsible AI usage, will be beneficial for this role.,

As a Data Scientist specializing in Machine Learning and Artificial Intelligence (ML & AI), your primary responsibility will be to tackle business challenges by leveraging data-driven solutions. Your role will involve collaborating closely with product teams to extract insights from complex data sources and steer the direction of our products based on data-driven recommendations. Being a Subject Matter Expert in data science, you will have a crucial role in shaping our analytics strategy and ensuring that our decisions are well-supported by rigorous data analysis. Your key responsibilities will include: - Problem Solving: Translating intricate business issues into machine learning solutions driven by data. - Model Development: Creating, managing, and designing machine learning and advanced analytics models to generate actionable insights. - Data Analysis: Analyzing data from various sources to maintain integrity, accuracy, and relevance. - Insight Sharing: Communicating findings and insights to stakeholders to facilitate data-driven decision-making. - Subject Matter Expertise: Serving as the go-to expert in the field of data science, offering guidance and knowledge to other teams and stakeholders. - Product Leadership: Influencing product teams with data-based recommendations and ensuring alignment with business objectives by conveying business status, experiment outcomes, and other pertinent insights. Desired Technical Skills: - Proficiency in programming languages such as Python, R, or other relevant data science languages. - Experience working with machine learning libraries like TensorFlow, Keras, Scikit-learn, or similar. - Competence in utilizing data manipulation tools like Pandas, NumPy, or equivalent. In addition to a challenging and rewarding work environment, some of the perks and benefits of this role include: - 5 Days Working - Flexible Timings Please note that we are currently not hiring for the Data Scientist (ML & AI) position. Kindly check back later for any updates on the hiring status.,

Role Purpose The Software Engineer is required to take a holistic view and be engaged throughout the development lifecycle. They will participate in and occasionally drive all our R&D activities. Subject to their specialization, they will be involved in the design, development, testing, publishing, and/or support of different cloud-based products and solutions. The role will work closely with a global team of engineers to build robust solutions that meet our business objectives following continuous integration and continuous deployment processes, while providing guidance to associate level engineers. Additionally, they will provide recommendations to management as to process, technologies, or other improvements intended to benefit productivity, efficiency and/or quality of the solutions developed by the team and occasionally lead the implementation of new solutions. Job Metrics Expand key skills and knowledge of Verint applications Timely development of product enhancements and code review Meet quality gates for deliverables Executes using best practice Identify, document, track, verify defects and or risks to ensure timely resolution and effective communication Create documentation for technical designs and specifications Mentor Intern and Associate Engineers Specific Objectives as agreed with your manager. Job Requirement: Degree in Computer Science, Engineering, or equivalent with 3+ years of experience in full-stack development Working experience with C#/.Net. 2+ years of experience in Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and NoSQL databases (MongoDB, DynamoDB). Working experience with cloud technologies AWS, Azure (OKD/OpenShift experience is a plus). Experience with containerization and orchestration tools such as Kubernetes, Docker. Hands-on experience with CI/CD tools like Harness and Jenkins. Experience with Infrastructure as Code (IaC) using Terraform. Working knowledge of Linux/Unix services. Experience with monitoring tools such as Datadog and/or OpsGenie. Strong background in test automation using Cucumber, PyTest, Selenium. Experience in voice & video recording platforms is advantageous. Strong programming background, capable of designing and delivering solutions quickly. Experience with Agile methodologies (JIRA, Scrum/Kanban). Strong leadership, mentoring and problem-solving skills. Ability to collaborate effectively across teams. Excellent communication skills, both written and verbal. Knowledge of Machine Learning technologies, Natural Language Processing (NLP), and Python libraries such as Pandas, Keras, TensorFlow, and Scikit-Learn is advantageous. Familiarity with Computer Vision, Speech Analytics, and Deep Learning techniques is beneficial. Professional/Task Able to work independently under general direction towards predetermined longer-term goals Able to troubleshoot and identify root causes of issues while liaising with engineering teams, support and end customers Ability to work as part of a matrixed team, building supportive and collaborative relationships with colleagues to meet Verint’s objectives Experience of software development within a team Understanding of software development life cycle methodologies – especially Agile Scrum Passionate about customer success.

Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Bank's Global Banking team, you’ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required Qualifications, Capabilities, And Skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc., Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

9 - 12 Years 1 Opening Trivandrum Role description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes: Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures of Outcomes: Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected: Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management : Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control and Review : Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development : Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement gathering and Analysis: Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management: Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management: Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting: In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation and Thought Leadership: Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support: Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management: Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design: Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples: Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples: Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments: AI Architect Role Summary: Hands-on AI Architect with strong expertise in Deep Learning, Generative AI, and real-world AI/ML systems. The role involves leading the architecture, development, and deployment of AI agent-based solutions, supporting initiatives such as intelligent automation, anomaly detection, and GenAI-powered assistants across enterprise operations and engineering. This is a hands-on role ideal for someone who thrives in fast-paced environments, is passionate about AI innovations, and can adapt across multiple opportunities based on business priorities. Key Responsibilities: • Design and architect AI-based solutions including multi-agent GenAI systems using LLMs and RAG pipelines. • Build POCs, prototypes, and production-grade AI components for operations, support automation, and intelligent assistants. • Lead end-to-end development of AI agents for use cases such as triage, RCA automation, and predictive analytics. • Leverage GenAI (LLMs) and Time Series models to drive intelligent observability and performance management. • Work closely with product, engineering, and operations teams to align solutions with domain and customer needs. • Own model lifecycle from experimentation to deployment using modern MLOps and LLMOps practices. • Ensure scalable, secure, and cost-efficient implementation across AWS and Azure cloud environments. • Key Skills & Technology Areas: • AI/ML Expertise: 8+ years in AI/ML, with hands-on experience in deep learning, model deployment, and GenAI. • LLMs & Frameworks: GPT-3+, Claude, LLAMA3, LangChain, LangGraph, Transformers (BERT, T5), RAG pipelines, LLMOps. • Programming: Python (advanced), Keras, PyTorch, Pandas, FastAPI, Celery (for agent orchestration), Redis. • Modeling & Analytics: Time Series Forecasting, Predictive Modeling, Synthetic Data Generation. • Data & Storage: ChromaDB, Pinecone, FAISS, DynamoDB, PostgreSQL, Azure Synapse, Azure Data Factory. • Cloud & Tools: o AWS (Bedrock, SageMaker, Lambda), o Azure (Azure ML, Azure Databricks, Synapse), o GCP (Vertex AI – optional) • Observability Integration: Splunk, ELK Stack, Prometheus. • DevOps/MLOps: Docker, GitHub Actions, Kubernetes, CI/CD pipelines, model monitoring & versioning. • Architectural Patterns: Microservices, Event-Driven Architecture, Multi-Agent Systems, API-first Design. Other Requirements: • Proven ability to work independently and collaboratively in agile, innovation-driven teams. • Strong problem-solving mindset and product-oriented thinking. • Excellent communication and technical storytelling skills. • Flexibility to work across multiple opportunities based on business priorities. • Experience in Telecom, E- Commerce, or Enterprise IT Operations is a plus. ________________________________________ ________________________________________ ________________________________________ Skills python,pandas,AIML,GENAI About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Senior Software Engineer Date: Jul 18, 2025 Location: Hyderabad, IN Requisition ID: 16694 Description: POSITION INFORMATION Position Title: Senior Software Engineer - India Career Track: Position Code: Division/Dept: CDO FLSA: Exempt Date Created/Revised: Salary Grade: POSITION SUMMARY AND PRIMARY RESPONSIBILITIES Position Summary : We are seeking a highly skilled and experience senior developer with a strong background in Java/MERN stack (MongoDB, Express.js, React.js, Node.js) to join our team. The ideal candidate should have 4-6 years of hands-on experience in developing and maintaining applications using Java/MERN stack and will play key role in designing, developing and deploying software applications. Responsibilities : Design, develop and maintain large scale software applications using the Java/MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Create and Own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews and provide constructive feedback to team members. Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentor and guide junior developers. Collaborate with product manager and other stakeholders to understand. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage . PEOPLE MANAGEMENT - (Provide approx numbers of direct/indirect reports and indicate exempt/nonexempt employees; the level/degree of supervision provided) Does this position have direct report responsibility? þ Yes No If Yes, Number of Exempt and Non-Exempt level employees _____ Exempt _____Non-Exempt Please describe in some detail the level of supervision provided: REQUIRED SKILLS Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Java/Python/Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Extensive experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply.

Weavers Web Solutions Private Limited is looking for a highly skilled and experienced Python AI/ML Developer to join our growing team. You will be working on cutting-edge projects in AI, machine learning, and data analytics, helping us build intelligent systems that drive business success. The ideal candidate will have a strong background in Python programming, machine learning algorithms, data analysis, and model deployment. Key Responsibilities: Design, implement, and maintain scalable AI/ML models using Python. Collaborate with cross-functional teams to define project goals, data requirements, and deliverables. Develop machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Optimize existing ML models for better performance, scalability, and efficiency. Stay updated with the latest trends in AI/ML technologies and apply them to real-world projects. Use libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and others to build models. Work with big data platforms and tools like Hadoop, Spark, and cloud-based services. Document solutions, processes, and best practices for team collaboration and knowledge sharing. Conduct data analysis, visualization, and reporting for business insights. Ensure model reproducibility and track experiment results using version control systems like Git. Provide technical leadership and mentoring to junior developers on AI/ML best practices. Required Skills and Qualifications: Experience: Minimum of 4 years of professional experience as an AI/ML Developer or Data Scientist. Programming Skills: Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, SciPy, Scikit-learn, and TensorFlow/PyTorch. Machine Learning Algorithms: In-depth understanding of supervised and unsupervised learning, deep learning, natural language processing (NLP), reinforcement learning, etc. Model Development: Experience in building and deploying AI/ML models in production environments. Data Handling: Solid understanding of data preprocessing, feature extraction, and data normalization. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Version Control: Proficiency with Git or similar version control systems. Problem Solving: Strong analytical and problem-solving skills with a passion for working with large datasets. Communication Skills: Ability to explain complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams. Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Developer and collaborate with forward-thinking startups to build intelligent systems, automate workflows, and integrate machine learning into real-world applications. You’ll work on everything from model development to deployment, with the freedom to structure your engagements as you choose. Plus, enjoy the flexibility to work remotely and take on projects that align with your passion and expertise. Role Overview As an AI Developer, you will: Build Intelligent Systems: Design and implement AI/ML models for various use cases including classification, recommendation, NLP, and computer vision. Develop & Deploy Models: Train, evaluate, and deploy models into production environments. Collaborate Across Teams: Work with product managers, engineers, and business stakeholders to integrate AI into end-user applications. What You’ll Do AI Model Development: Design, train, and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn Work on use cases across NLP, computer vision, predictive analytics, and generative AI. End-to-End AI Pipeline: Preprocess data, build pipelines, and manage model lifecycle (training, evaluation, deployment). Deploy models via APIs or integrate them with backend systems or automation tools. Technical Requirements & Skills Experience: 5+ years in AI/ML development. Programming Languages: Proficient in Python (preferred), Java, or C++. Frameworks: Hands-on experience with TensorFlow, PyTorch, Keras, or Scikit-learn. Concepts: Strong understanding of algorithms, data structures, and core AI/ML concepts. Data: Experience with data wrangling, feature engineering, and working with large datasets. Bonus: Familiarity with LLM APIs (OpenAI, Claude, Gemini) or tools like LangChain, Hugging Face Transformers. What We’re Looking For A technically strong AI developer with a track record of building and deploying machine learning solutions. A creative problem-solver who enjoys working independently and collaboratively. A freelancer who thrives in fast-paced environments and can drive AI innovation from concept to implementation. Why Join Us? Immediate Impact: Work on cutting-edge AI projects that solve real business problems. Remote & Flexible: Choose when and how you work—hourly or project-based. Future Opportunities: BeGig will continue matching you with AI and ML roles that suit your expertise. Innovative Work: Partner with startups building the next wave of AI-driven products. Ready to take the next step? Apply now to become a key AI Developer for our client and a valued member of the BeGig network!

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks Qualifiers: 6 - 10 years of experience in building and maintaining ML solutions at scale Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders Proven track record of designing end to end ML systems which can handle the scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.

As the AVP-AI/ML Lead, your primary responsibility will be to develop innovative AI/ML solutions that cater to the specific business requirements and challenges faced by our clients. This will involve successfully managing project delivery, including data pre-processing, model training and evaluation, and parameter tuning, while ensuring stakeholder and customer expectations are met. You will be responsible for project blue printing, project documentation, and creating detailed project plans. It will also be crucial for you to stay updated on the latest advancements in AI/ML, particularly in the areas of NLP/NLU applications across various industries such as CPG and Finance. In this role, you will need to conceptualize, design, build, and implement solution algorithms within specified timelines. You will collaborate with clients to gather and analyze requirements, as well as develop effective analytics and text mining strategies. Working closely with digital development teams, you will integrate and optimize algorithms to create production-ready applications. Additionally, conducting applied research on diverse text analytics and machine learning projects, filing patents, and publishing papers will be part of your responsibilities. Preferred qualifications and skills for this role include expert knowledge in NLP, NLU, and various machine learning and deep learning methods. Proficiency in tools such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and NoSQL is essential. Experience in UI development for text mining insights visualization using platforms like Adobe Flex Builder, HTML5, and CSS3 is advantageous. Furthermore, familiarity with operating systems like Linux and Windows, GPU experience, and proficiency in distributed computing tools like Spark and Scala are desired. Knowledge of deep learning frameworks such as TensorFlow, Keras, Torch, and Theano will be beneficial in executing your responsibilities effectively.,

As the Subject Matter Expert for clients, you will serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their requirements and provide customized generative AI solutions. You will be responsible for leading multiple generative AI projects, ensuring on-time delivery and high-quality results by defining project deliverables, timelines, and methodologies. Additionally, you will manage and mentor a team of AI specialists, creating a collaborative and innovative work environment. Your role will involve designing and implementing advanced generative AI models like GANs, VAEs, and transformer-based models to address intricate business challenges. You will also contribute to thought leadership in generative AI, offering strategic insights to drive innovation and best practices within the organization. It is essential to stay updated on the latest developments in generative AI and machine learning, integrating state-of-the-art technologies into projects. To qualify for this position, you should hold a Master's or PhD in computer science, engineering, mathematics, or related fields from esteemed institutions. With at least 8 years of experience in AI and machine learning, focusing on generative AI, deep learning, and NLP, you must have a proven track record of successfully delivering generative AI projects. Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP) is required, along with experience in large-scale data processing and model deployment. Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar, are preferred but not mandatory. Demonstrated leadership skills, problem-solving abilities, and excellent communication and presentation skills are essential for this role. A deep understanding of industry trends and challenges in generative AI and machine learning will be advantageous.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,