1862 Keras Jobs - Page 22

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills 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. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.

As a Lead AI Engineer at our company, you will be responsible for managing projects, clients, and teams with ease while inspiring confidence. You will have the opportunity to work with foreign clients and diverse cross-functional teams. We are seeking an individual with proven experience as an AI Developer, possessing a strong understanding of machine learning algorithms such as regression, clustering, neural networks, and decision trees. In this role, you will work with AI/ML frameworks like TensorFlow, PyTorch, Keras, and be proficient in programming languages such as Python, R, or other languages used for AI development. Familiarity with data science libraries like Pandas, NumPy, and Scikit-learn is essential. Knowledge of NLP, computer vision, or reinforcement learning would be a plus. Experience with cloud platforms like AWS, Azure, and Google Cloud, as well as deploying AI solutions in production, is also required. Your responsibilities will include developing, training, and optimizing machine learning models and AI systems. You will collaborate with data scientists, software engineers, and product managers to integrate AI models into existing applications. Building AI-powered tools, platforms, and applications will be a key part of your role. You will research and implement machine learning algorithms for classification, prediction, recommendation, and NLP, while also monitoring model performance and performing necessary tuning and updates. As a Lead AI Engineer, you will be expected to write clean, scalable, and efficient code for AI algorithms, stay updated with the latest AI/ML trends, tools, and frameworks, and conduct data preprocessing and feature engineering to ensure data quality for AI applications. Troubleshooting AI-related issues, improving model accuracy, and communicating effectively with external partners, customers, and product owners will also be part of your responsibilities. The ideal candidate will have an innovative and detail-oriented approach to problem-solving, excel at communicating with internal teams and external partners, and be a resourceful problem solver capable of finding solutions and navigating challenges in ambiguous situations. If you are passionate about AI engineering and possess the required skills and experience, we encourage you to apply for this exciting opportunity.,

As an AI Developer at our company, you will play a crucial role in the development of advanced AI solutions. Your primary responsibility will involve designing, implementing, and maintaining AI algorithms and models to address complex challenges. Collaboration with data scientists, engineers, and product managers will be essential to deliver innovative AI-driven products. Your key responsibilities will include designing, developing, and deploying various AI algorithms and models encompassing machine learning, deep learning, and natural language processing techniques. Working closely with data scientists, you will also assist in data collection, cleaning, and preparation for AI modeling purposes. Furthermore, you will be tasked with optimizing AI models to enhance their performance and efficiency. It will be imperative for you to stay abreast of the latest advancements in AI and machine learning technologies. Your active participation in the development of AI-powered products and applications will be critical. Additionally, collaborating with cross-functional teams to ensure seamless AI integration across different projects will be part of your routine tasks. To be successful in this role, you should possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong programming skills in Python or other relevant languages are essential. Previous experience with machine learning frameworks like TensorFlow, PyTorch, or Keras is highly advantageous. Knowledge of deep learning architectures such as CNNs, RNNs, and Transformers, along with familiarity with natural language processing techniques like text classification and named entity recognition, will be beneficial. Experience with cloud platforms like AWS, GCP, or Azure will be a plus. Excellent problem-solving and analytical skills are crucial for this position. Your ability to work both independently and collaboratively within a team environment will be instrumental in your success as an AI Developer.,

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo. At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. About The Role: Enterprise Apps AI Center of Excellence (CoE) is a newly established team that operates with the agility of a startup to generate substantial value for Finance through Artificial Intelligence. Going beyond simple efficiency improvements, we focus on building innovative AI solutions that unlock new capabilities and insights for the Enterprise Applications organization. Our mission is to transform business processes, enhance strategic decision-making, and drive significant value using advanced AI applications. The team will be responsible for identifying, analyzing, developing, and deploying high-impact use cases. The ultimate goal is to empower the enterprise business applications users with cutting-edge AI, enabling more strategic and effective operations. As the Senior Engineer, you will lead our team in conceptualizing, developing, and deploying impactful AI/ML solutions that revolutionize finance processes. You will be accountable for the entire AI solution lifecycle – from ideation and requirements gathering to development, implementation, and ongoing support. This role involves leading and supporting technically a geographically diverse team located in the US and India. Identify and POC efficiency opportunities for software development, software optimization / tech debt reduction, QA, UAT, Unit Testing, Regression Testing What You'll do: Hands-on experience with developing, debugging, training, evaluating, deploying at scale, optimizing and fine tuning state-of-the-art AI models especially in NLP, Generative AI with Python, PyTorch, TensorFlow, Keras, ML algorithms (supervised, unsupervised, reinforcement learning), Gen AI frameworks (GPT-4, Llama, Claude, Gemini, Hugging Face, LangChain) Deep expertise in Neural Networks, Deep Learning, Conversational AI such as ChatBots, IVA, AgentAssist & NLP (LLMs, Transformers, RNNs, Semantic Search), Prompt Engineering Hands-on experience with AIOps , MLOps, DataOps in build the production like AI/ML pipelines with KubeFlow, MLFlow, AutoML on cloud platforms (AWS, Azure, GCP) Hands-on experience with AI-powered search (vector db, semantic search) and Microservices development - Java, Python, Spring Boot and NoSQL. Comprehensive experience with AI/ML advancements such as building the Multimodal AI, Advanced development with AutoML, Agentic AI, AI Integration, AI CyberSecurity and AI powered automation. Hands-on experience with data modelling, data processing with NLP techniques in Data Science to extract the insights. Hands-on experience with data pipelines, data warehousing, and data governance for building and deploying ML models. Responsible for proactive research in AI/ML space for the advancements and new industry trends and lead AI/ML & Data initiatives, to identify the business opportunities and critical AI use cases to deliver the AI/ML end-to-end solutions in finance business applications. Should be able to articulate the potential ROI and benefits of proposed AI solutions. Collaborate with technology, product, and data teams to seamlessly integrate validated AI solutions into existing finance workflows, clearly communicating technical details. Provide technical leadership and mentorship to the engineering team, fostering a culture of innovation and continuous learning. Utilize advanced statistical analysis and deep learning machine learning algorithms to address finance-related challenges and improve internal processes and strategies. What you bring: Minimum of 8 years hands-on experience in efficiently driving data science and/or AI/ML use cases, with a primary focus in the domain of finance and accounting. Strong understanding of software development lifecycle (SDLC) and standard methodologies for coding, design, testing, and deployment. Bachelor's or Master’s degree in Computer Science, Software Engineering, or in Statistics, Applied Mathematics, or an equivalent quantitative field. Excellent technical, problem-solving, and communication skills. Ability to analyze and resolve difficult technical issues quickly in a high-pressure environment. Experience working and presenting proposals to executives in a clear and compelling way Strong proficiency in modern programming languages (e.g., Java, Python) and frameworks (e.g., React, Node.js) to build AI/ML solutions in finance applications. Exposure to integration platforms such Boomi Strong Excel skills (required). Experience with SQL, Tableau, or other BI tools for extracting and visualizing data is a plus. About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Data Science Manager-R&D Qualification and Experience:M.Tech / M.E / MS / M.Sc / Ph.D ; 2 Years Qualification and Experience M.Tech / M.E / MS / M.Sc / Ph.D in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) with a focus on Artificial Intelligence / Machine Learning A CGPA of 7.5/10 or above in UG as well as PG level (in case of percentage, 70 PERCENT or above) 2 Years Responsibilities Responsible for applied research, development and validation of advanced machine learning and AI algorithms for solving complex real-world problems at scale Work closely with product team to understand business problems and product vision to come up with innovative algorithmic solutions Create prototypes and demonstrations to validate/establish innovative ideas and translate research outcomes to productized innovation by working with AI Engineers and/or software engineers Create and maintain research plans, conduct experiments, consolidate and document results, and publish works as appropriate Document and protect intellectual property (IP) generated from R&D efforts by collaborating with designated teams and/or external agencies Mentor junior staff to ensure that correct procedures are followed; collaborate with stakeholders, academic/research partners and peer researchers to deliver tangible outcomes Requirements of the role The candidate is expected to be strong in fundamentals of computer science as well as in analyzing and designing AI/Machine learning algorithms Hands-on experience in at least two of the following areas are required : Supervised, unsupervised and semi-supervised machine learning algorithms Reinforcement Learning Deep learning & Representation Learning Knowledge based systems (knowledge representation, reasoning and planning; FOL, ontologies etc.) Evolutionary Computing Probabilistic Graphical Models Streaming, incremental and non-stationary learning Candidate should be strong in at least one programming language, and should have experience in implementing AI/machine learning algorithms in python or R Experience with tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark etc. would be desirable Applied research experience of at least 2 5 years on real-world problems using AI/Machine Learning techniques At least one publication in a top tier conference/journal related to AI/Machine Learning (E.g. ICML, AAAI, NIPS, ICCV, CVPR, KDD, SIGMOD, IJCNN, IJCAI, EMNLP, ICPR, ICDM etc.) and/or patents Experience in contributing to open-source projects related to AI/Machine Learning would be a strong plus Job Code: DSM_TVM Location: Trivandrum For more information, Please mail to: recruitment@flytxt.com

Senior Software Engineer-R&D Qualification and Experience:B.Tech / M.Tech / M.E / MS / M.Sc in Computer Science Qualification and Experience B.Tech / M.Tech / M.E / MS / M.Sc in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) or MCA Demonstrated commitment towards mastering AI/machine learning through own initiatives (side projects, books, MOOC courses etc.) would be a strong plus Responsibilities Implement and/or productize AI/Machine Learning algorithms at scale, utilizing distributed computing techniques, research findings, AI best practices and state of the art frameworks/libraries Setup and manage infrastructure, tools and frameworks for data management and transformation to facilitate AI R&D Package AI/ML algorithms to construct reusable AI recipes/components and/or create APIs for consuming packaged AI models Create examples and prototypes demonstrating consumption of packaged AI/Machine Learning algorithms Follow best practices to modularize, validate and package source code and follow proper source control management guidelines Conduct code reviews and mentor junior team members Work closely with AI researchers to productize innovations Requirements Requirements of the role The candidate should be strong in fundamentals of computer science, especially in algorithm analysis and design, and should be proficient in python programming. The candidate should have experience in working with and maintaining Linux-based systems, and should be hands-on in some/all of the following areas: Applying AI/machine learning, natural language processing and information retrieval algorithms on large datasets Creating and/or consuming AI/machine learning algorithms using tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, numpy, scipy, matplotlib, pandas, Tensorflow, Keras, Apache Spark etc. ETL/data cleansing and enrichment using Hadoop/Spark/other Big Data frameworks Gathering and processing raw data at scale using web scraping, API calls, crawling public repositories etc. Experience in working with SCM tools such as Git/GitHub/Bitbucket, exposure to Extreme Programming (XP), DevOps and/or Agile methodology Experience in conducting design and/or code reviews Job Code: SSE R&D_TVM Location: Trivandrum For more information, Please mail to: recruitment@flytxt.com

We are looking for a Machine Learning (ML) Expert to help us create ML/artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics, Data Science and programming. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities : Designing and developing machine learning and deep learning systems. Running machine learning tests and experiments. Implementing appropriate ML algorithms. 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. Requirements Proven experience as a Machine Learning 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. Familiarity 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. Bachelors in computer science, Mathematics or similar field; masters degree is a plus.

Meet the Team We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, were building a tight-knit group of AI and infrastructure experts driven by > We thrive in a fast-paced, experimentation-rich environment where new technologies arent just welcome theyre expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure we'd love to meet you. Your Impact Cisco is seeking a forward-thinking AI Model Architect to drive the development of AI model and dataset design supporting the next-generation AI infrastructure platform. This is a key role at the intersection of infrastructure and AI systems, where you'll drive the architecture and execution of AI and Generative AI to develop novel solutions that improve monitoring, deployment, and management of AI applications running at scale. Your work will directly impact how enterprises deploy, scale, and optimize AI workloads. As an Architect, you will be responsible for both mentoring a high-caliber team as well as hands-on design to deliver robust AI models and workflows that learn from, recommend, and optimize the uptime, quality, and performance of customer infrastructure. Youll also guide strategic direction on resource utilization in generative AI systems, working cross-functionally to align product direction with infrastructure capabilities. Key Responsibilities: Architect and design datasets from infrastructure and operational telemetry. Architect, select, and fine-tune/train AI and Generative AI model that can detect patterns on time series datasets. Fine-tune and train AI and Generative AI models that can interreact with tools and take actions. Understanding k8s and other infrastructure components and their usages. Build Model Context Protocol (MCP) tools to support Agentic Workflows Demonstrate a deep understanding of AI frameworks that support Nvidia and AMD GPUs. Plan and coordinate software engineering work, map tasks to releases, conduct code reviews, and resolve technical challenges to unblock releases. Generate architecture specifications and build proof-of-concept (POC) solutions for clarity when needed. Collaborate with product management to understand customer requirements and build architecturally sound solutions. Work closely with engineers on implementation and track progress to ensure alignment with architectural requirements. Minimum Qualifications: Demonstrable experience in following AI and Generative AI model training and fine-tuning. KV Cache management and context length impact in LLM inferencing. Python, PyTorch, TensorRT and other AI frameworks CUDA, Nsight and other nvidia tools. vLLM, LLM-D and other runtime for LLMs. Comprehensive understanding of software release processes Proficiency in using agents building pipelines. Bachelors degree or equivalent with 10+ years of engineering experience. Preferred Qualifications: Demonstrable technical leadership through publish papers in industry conferences and publications, and issued patents Proven leadership experience in architecture and design of Retrieval Augmented Generation workflows. Demonstrable experience collecting and using system metrics in AI training/fine-tuning and inference Masters degree or equivalent.

: Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications. The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it’s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it’s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application. The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions. Responsibilities: Contribute the development of Artificial Intelligence solutions for medical imaging Support the product development and deployment of research prototypes Support Scientific evaluation, setup and manage algorithm validation pipeline Education: Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics. Experience: 4+ Years of experience Skills/Competency: Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R) Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required Prior exposure to machine learning and related fields is preferable but not required Motivated, self-driven and with a strong ability to learn independently Exhibits strong problem-solving skills Self-directed and actively takes initiative Familiar with DICOM & Medical Raw image formats and it's applications Familiar with Data science tools Strong knowledge of regulatory needs related to medical devices, AI products in healthcare

Responsibilities: Drive business growth in assigned portfolio in AI and ML. Responsible for collaborating with clients to understand their business challenges and advise cutting-edge AI solutions using AI and Generative AI technology. Conduct research and stay updated on the latest advancements in Generative AI technology and methodologies. Provide expertise and guidance to clients and internal teams on Generative AI best practices. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Drive the team to build GenAI products and solutions. Tech Skills: Should have consulting experience with senior client stakeholders in AI ML technologies Should have strong experience in building AI and Generative AI solutions Should have solid experience developing and implementing generative AI models Experience with cloud-based platforms and services Experience with natural language processing (NLP) techniques and tools.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager, Data Scientist Our Vision AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You 3+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-252120

Please mention subject line “Machine Learning Engineer - ESLNK59” while applying to hr@evoortsolutions.com Job Title: Machine Learning Engineer Location: Remote | Full-Time Experience: 4+ years Job Summary We are seeking a highly skilled and self-motivated Machine Learning Engineer / Senior Machine Learning Engineer to join our fast-growing AI/ML startup. You will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. This role demands a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Key Responsibilities Design and develop machine learning and deep learning algorithms in collaboration with cross-functional teams, including data scientists and business stakeholders. Translate complex client problems into mathematical models and identify the most suitable AI/ML approach. Build data pipelines and automated classification systems using advanced ML/AI models. Conduct data mining and apply supervised/unsupervised learning to extract meaningful insights. Perform Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition from structured and unstructured datasets. Develop and implement Natural Language Processing (NLP) techniques for sentiment analysis, text classification, entity recognition, etc. Extend and customize ML libraries/frameworks like PyTorch, TensorFlow, and Scikit-learn. Visualize and communicate analytical findings using tools such as Tableau, Matplotlib, ggplot, etc. Develop and integrate APIs to deploy ML solutions on cloud-based platforms (AWS, Azure, GCP). Provide technical documentation and support for product development, business proposals, and client presentations. Stay updated with the latest trends in AI/ML and contribute to innovation-driven projects. Required Skills & Qualifications Education: B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or related field. Solid understanding of data structures, algorithms, probability, and statistical methods. Proficiency in Python, R, or Java for building ML models. Hands-on experience with ML/DL frameworks such as PyTorch, Keras, TensorFlow, and libraries like Scikit-learn, SpaCy, NLTK, etc. Experience with cloud services (PaaS/SaaS), RESTful APIs, and microservices architecture. Strong grasp of NLP, predictive analytics, and deep learning algorithms. Familiarity with big data technologies like Hadoop, Spark, Hive, Kafka, and NoSQL databases is a plus. Expertise in building and deploying scalable AI/ML models in production environments. Ability to work independently in an agile team setup and handle multiple priorities simultaneously. Exceptional analytical, problem-solving, and communication skills. Strong portfolio or examples of applied ML use cases in real-world applications. Why Join Us? Opportunity to work at the forefront of AI innovation and solve real-world challenges. Be part of a lean, fast-paced, and high-impact team driving AI solutions across industries. Flexible remote working culture with autonomy and ownership. Competitive compensation, growth opportunities, and access to cutting-edge technology. Embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch.

Job Description A Data Science Trainer is a professional who designs and delivers training programs to educate individuals and teams on data science concepts and techniques. They are responsible for creating and delivering engaging and effective training content that helps learners develop their data science skills. Responsibilities Design and develop training programs and curriculum for data science concepts and techniques Deliver training sessions to individuals and teams, both in-person and online Create and manage training materials such as presentations, tutorials, and exercises Monitor and evaluate the effectiveness of training programs Continuously update training materials and curriculum to reflect the latest trends and best practices in data science Provide one-on-one coaching and mentoring to learners Requirements A degree in a relevant field such as computer science, data science, statistics, or mathematics Strong understanding of data science concepts and techniques Experience with programming languages such as Python, R and SQL Strong presentation and communication skills Experience in training and/or teaching Experience with data visualization tools such as Tableau, Power BI or Matplotlib is a plus Knowledge of data science platform such as Scikit-learn, Tensorflow, Keras etc. is a plus. The role of a data science trainer requires a person who is passionate about teaching, has a solid understanding of data science and has the ability to adapt to the needs of the learners. They must be able to deliver training programs in an engaging and effective way, and must be able to continuously update the training materials to reflect the latest trends and best practices in data science. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Education: Master's (Preferred) Experience: Data scientist: 2 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹90,000.00 per month Education: Bachelor's (Preferred) Experience: AI/Machine learining: 4 years (Preferred) Work Location: In person

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence

Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location Baner, Pune

Job Summary: We are looking for a highly skilled and experienced AI/ML Developer-Lead with 4-5 years of hands-on relevant 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: 1. 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. 2. Model Optimisation and Evaluation Continuously improve existing models for performance, accuracy, and scalability. 3. Data Preprocessing and Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpret ability. 4. Collaboration and Communication Collaborate closely with data scientists, back end engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. 5. 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. 6. 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. 7. 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. Required Skills and Qualifications: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. 4-5 years' of experience in machine learning, artificial intelligence, or applied data science roles. 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.

Budget : 15-20 LPA NP- immediate Location-Technopark, trivandrum Exprience- 5+ years We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred

Are you passionate about building AI systems that create real-world impact? We are hiring a Senior AI Engineer with 5+ years of experience to design, develop, and deploy cutting-edge AI/ML solutions. 📍 Location: [Trivandrum / Kochi / Remote – customize based on your need] 💼 Experience: 5+ years 💰 Salary: ₹15–20 LPA 🚀 Immediate Joiners Preferred 🔧 What You’ll Do Design and implement ML/DL models for real business problems Build data pipelines and perform preprocessing for large datasets Use advanced techniques like NLP, computer vision, reinforcement learning Deploy AI models using MLOps best practices Collaborate with data scientists, developers & product teams Stay ahead of the curve with the latest research and tools ✅ What We’re Looking For 5+ years of hands-on AI/ML development experience Strong in Python, with experience in TensorFlow, PyTorch, Scikit-learn, Hugging Face Knowledge of NLP, CV, DL architectures (CNNs, RNNs, Transformers) Experience with cloud platforms (AWS/GCP/Azure) and AI services Solid grasp of MLOps, model versioning, deployment, monitoring Strong problem-solving, communication, and mentoring skills 💻 Tech Stack You’ll Work With Languages: Python, SQL Libraries: TensorFlow, PyTorch, Keras, Transformers, Scikit-learn Tools: Git, Docker, Kubernetes, MLflow, Airflow Platforms: AWS, GCP, Azure, Vertex AI, SageMaker Skills: cloud platforms (aws, gcp, azure),docker,computer vision,git,pytorch,airflow,hugging face,nlp,ml,ai,deep learning,kubernetes,mlflow,mlops,tensorflow,scikit-learn,python,machine learning

Job Title: Python Developer (AI/ML Projects – 5–7 Years Experience) Location: Onsite – Indore, India Job Type: Full-time Experience Required: 5 to 7 years Notice Period: Immediate Joiners Preferred About the Role: We are seeking an experienced Python Developer with 5–7 years of professional experience, including hands-on project work in Artificial Intelligence (AI) and Machine Learning (ML) . The ideal candidate should have strong backend development skills along with a solid foundation in AI/ML, capable of designing scalable solutions and deploying intelligent systems. Key Responsibilities: Design, develop, and maintain backend applications using Python. Build and integrate RESTful APIs and third-party services. Work on AI/ML projects including model development, training, deployment, and performance tuning. Collaborate with Data Scientists and ML Engineers to implement and productionize machine learning models. Manage data pipelines and model lifecycle using tools like MLflow or similar. Write clean, testable, and efficient code using Python best practices. Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, etc. Participate in code reviews, architecture discussions, and agile ceremonies. Required Skills & Experience: 5–7 years of hands-on Python development experience. Strong experience with frameworks such as Django, Flask, or FastAPI. Proven track record of working on AI/ML projects (end-to-end model lifecycle). Good understanding of machine learning libraries like Scikit-learn, TensorFlow, Keras, PyTorch, etc. Experience with data preprocessing, model training, evaluation, and deployment. Familiarity with data handling tools: Pandas, NumPy, etc. Working knowledge of REST API development and integration. Experience with Docker, Git, CI/CD, and cloud platforms (AWS/GCP/Azure). Familiarity with databases – SQL and NoSQL. Experience with model tracking tools like MLflow or DVC is a plus. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, GCP AI Platform). Exposure to MLOps practices and tools is highly desirable. Understanding of NLP, Computer Vision, or Generative AI concepts is a plus.

Title/Designation: Machine Learning Engineer - NLP Relevant Experience: 3-6 years Key Skills: Python, NLP, LLM, Prompt Engineering, Statistical modeling, Information Retrieval, Search (Solr/ Elastic Search), Training & Data Analysis, Speech & Video recognition. Qualification: BS/MS/BE/ ME/ B-Tech/ M-Tech degree in Computer Science, IT, Statistics or equivalent with programming experience. Location: Baner, Pune. Must-have Requirements: 1. Python mastery & familiarity with GPU, Docker, Linux, deployment of Python apps. 2. Strong Python tech stack in machine learning in NumPy, sci-kit-learn, pandas. 3. Experience in implementation, training & deployment of ML (Classification, regression, clustering Algorithms) and DL (CNN, RNN, LSTM) models - trade-offs & evaluations. 4. Experience with web development frameworks in python either Django or Flask. 5. Build NLP models for query classification and entity recognition to improve relevance. 6. Expertise in Text mining (probabilistic topic models, word association, mining, ontology learning, semantic similarity. 7. Information Retrieval, Text Processing & NLP techniques 8. Experience with Apache Solr, Keras, Tensorflow, OpenCV 9. Experience in LLM, RAG, Vector database, semantic search, word/ paragraph/ document embedding, ranking, etc 10. Experience in search relevance/ ranking, search personalization, spell correction, entity recognition. 11. Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering. Knowledge Additional Competitive Skillsets: 1. Experience with Prompt Engineering 2. Strong Python tech stack in machine learning in distributed (PySpark ML, MLLib) 3. Experience in BERT, GPT, LLAMA, MPT, W2V, USE, TFIDF 4. Semantic knowledge Graph 5. Hadoop Ecosystem fluency (MapReduce, HBase, Kafka, etc.) 6. Proficiency in interactive visualizations Perks & Benefits: 1. You will work with the highly talented group of individuals based in Silicon Valley and Pune 2. Best in Industry Salaries 3. Work directly with on product and LEARN a lot 4. Flat organization structure with a start-up culture 5. Exposure to cutting edge technologies and the latest concepts 6. Weekly healthy snacks 7. Team outings & Sprint parties 8. Paid holidays

Data scientist to join Hub portion of Trustage hub-spoke engagement model support from CoE for part time delivery over 3 year duration assisting with Coco bots deployment and refinement Participate in daily stand-up meetings, update status and risks, and share daily status report and weekly status report. Work with stakeholders to gather representative test data set for AI model. Statically evaluate through visualization, clean-up and prepare data set for AI testing. Assess the effectiveness and accuracy of new data sources and employ data gathering techniques. Use predictive modeling to increase and optimize QA and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Looking for 9-11 years experience. Proficiency in Python or R for statistical analysis and machine learning. Strong knowledge of SQL and experience working with large-scale datasets. Experience with machine learning frameworks and libraries such as Scikit-learn, TensorFlow, Keras, XGBoost, etc. Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong problem-solving and analytical skills with a keen attention to detail. Excellent communication and stakeholder management skills.