861 Nlp Jobs - Page 13

As the Lead Data Scientist at Finicity, a Mastercard company, you will have the opportunity to lead and mentor a team of data scientists in developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring and improving the performance of these models. You will be expected to propose creative solutions to challenges in the financial industry, present technical findings to internal and external stakeholders, and leverage best practices in machine learning and data engineering to develop scalable solutions. To excel in this role, you should have a minimum of 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, as well as experience in transaction classification, risk evaluation, and credit risk modeling would be advantageous. Additionally, you should possess a strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques. Proficiency in SQL and database management is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, and Event Streams. Furthermore, you should have familiarity with relevant tools and frameworks like Tensorflow, Python, Sklearn, and Pandas. Your ability to collaborate effectively and come up with innovative solutions will be crucial in this role. Ideally, you should have a background in Finance or FinTech and hold a Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics. In addition to your technical skills, you should demonstrate a commitment to corporate security responsibilities. This includes abiding by Mastercard's security policies, ensuring the confidentiality and integrity of accessed information, reporting any security breaches, and completing mandatory security trainings as required. Your role as a Lead Data Scientist at Finicity will involve driving innovation and problem-solving in the data science and analytics team to contribute to the financial health of consumers and businesses.,

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients" needs. You will collaborate with cross-functional teams to integrate AI models into our products and services, leveraging cutting-edge technologies to drive innovation and deliver impactful results. Your responsibilities will include designing and developing AI models and algorithms to solve business problems, implementing machine learning and deep learning algorithms for various applications, collaborating with data scientists and engineers to preprocess data and build datasets for training models, integrating AI models into software applications and platforms, optimizing AI models for performance, scalability, and efficiency, conducting research to stay current with the latest advancements in AI and machine learning technologies, testing and validating AI models to ensure accuracy and reliability, deploying AI models into production environments, and monitoring their performance. Furthermore, you will collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements: - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. - Proficiency in programming languages such as Python, Java, or C++. - Hands-on experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, reinforcement learning). - Experience with data preprocessing, feature engineering, and model evaluation. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. - Excellent problem-solving skills and ability to work independently as well as part of a team. - Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with big data technologies (e.g., Hadoop, Spark) for handling large-scale datasets. - Understanding of DevOps practices and experience with CI/CD pipelines. - Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).,

Design, develop, and oversee the implementation of end-to-end AI solutions Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization Create architectural approaches for AI software and hardware integration Define AI solution objectives and ensure alignment with business outcomes Monitor AI industry trends and maintain state-of-the-art industry knowledge Implement best practices for AI testing, deployment, and maintenance

Join the Mega Walk-in recruitment drive for GenAI Specialist/Data Scientist AI/ML at Bangalore location on 19th July 2025 from 9:30 AM onwards Details of the Walk-in Drive: Date: 19th July [Saturday] 2025 Experience: 12 years to 18 years Time: 9:30 AM to 4:00 PM SPOC: Aishwarya G / AISHWARYAG5@hexaware.com Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Register here: https://lnkd.in/gmFBfPiU or Kindly share your updated resume to AISHWARYAG5@hexaware.com Key Skills and Experience: As a GenAI Specialist AI/ML, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Good to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo Mention "Aishwarya G" at the top of your resume. How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AISHWARYAG5@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for tracking. Collaboration with engineering teams will be a key aspect of your job to ensure the operationalization of models, both in batch and real-time scenarios, using Databricks Jobs or REST APIs. You will be responsible for implementing Delta Lake to support scalable and ACID-compliant data workflows, as well as enabling CI/CD for machine learning pipelines using Databricks Repos and GitHub Actions. In addition to your technical duties, troubleshooting Spark Jobs and resolving issues within the Databricks Environment will be part of your routine tasks. To excel in this role, you should possess 3 to 5 years of experience in predictive analytics, with a strong background in regression, classification, and time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark is crucial for success in this position. Familiarity with tools like MLflow, Feature Store, and Unity Catalog for governance purposes will be advantageous. Industry experience in Life Insurance or Property & Casualty (P&C) is preferred, and holding a certification as a Databricks Certified ML Practitioner would be considered a plus. Your technical skill set should include proficiency in Python, PySpark, MLflow, and Databricks AutoML. Expertise in predictive modeling techniques such as classification, clustering, regression, time series analysis, and NLP is required. Familiarity with cloud platforms like Azure or AWS, Delta Lake, and Unity Catalog will also be beneficial for this role.,

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,

The Artificial Intelligence (AI) Engineer and Data Scientist position at CIS requires a professional with 2.6 to 6 years of experience and a Bachelor's or Master's degree in computer science, mathematics, or a related field. As a machine learning engineer, you will need to demonstrate proficiency in AI, ML, NLP, LLM, OpenCV, deep learning, generative AI, and computer vision. Additionally, you should possess expertise in TensorFlow and OpenCV for developing and deploying machine learning and computer vision models. Your responsibilities will include designing and developing machine learning algorithms, optimizing existing libraries and frameworks, collaborating with various teams on production systems, and ensuring accurate user recommendations. You will be expected to study data science prototypes, run machine learning tests, and construct optimized data pipelines. Familiarity with server-side deployment and a deep understanding of probability, statistics, and algorithms are essential for this role. The ideal candidate should have impeccable analytical and problem-solving skills, extensive knowledge of machine learning frameworks like Keras or PyTorch, and familiarity with Python, Java, and R. Strong communication, collaboration, time management, and organizational skills are also crucial. A passion for continuous learning, innovative thinking, and a general understanding of building machine learning systems are highly valued. This position is based in Indore, Madhya Pradesh, and requires on-site work. You should be willing to work at various global locations, including the USA, UK, Australia, and the Middle East, with on-site benefits. If you meet the qualifications and are enthusiastic about advancing in the field of artificial intelligence and data science, we encourage you to apply from the specified locations. (Note: The job description provided is a standard summary description. Please refer to the original job description for complete details and requirements.),

As a talented Full Stack Developer with expertise in Generative AI and Natural Language Processing, you will be a key member of our team, contributing to the design, development, and scaling of cutting-edge LLM and Generative AI applications to enhance user experiences. Your responsibilities will include developing backend logic and intelligent workflows using pre-trained AI models such as large language models (LLMs) and natural language understanding (NLU) engines. You will integrate and operationalise NLP and Generative AI models in production environments, including speech processing pipelines like automatic speech recognition (ASR) and text-to-speech (TTS) technologies. Applying techniques such as LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG) will be crucial for enhancing AI system performance. Moreover, you will design and deploy scalable full-stack solutions supporting AI-driven applications, working with various data sources to enable contextual AI retrieval and responses. Utilising cloud platforms like AWS/Azure effectively for hosting, managing, and scaling AI-enabled services will also be part of your role. If you are passionate about combining full-stack development with AI and LLM technologies to create innovative text and voice applications, we look forward to hearing from you. Qualifications: - 3+ years of hands-on experience in full-stack application development with a strong understanding of frontend and backend technologies. - 12 years of proven experience in designing and implementing AI-driven conversational systems. - Deep knowledge of integrating Speech-to-Text (STT) and Natural Language Processing (NLP) components into production-ready systems. Nice-to-Have Skills: - Exposure to MLOps practices, including model deployment, monitoring, lifecycle management, and performance optimization in production environments. What You'll Get: - Opportunity to work on one of the most advanced AI systems. - A high-performing, fast-paced startup culture with a deep tech focus.,

As a Manager of Engineering (AI/ML) at our company, you will lead a team of ML engineers, data scientists, and software engineers to develop cutting-edge AI/ML solutions that drive business operations and innovation. Your role will involve a combination of technical leadership, strategic thinking, and operational skills to ensure the successful development and implementation of AI/ML models and systems. You will be responsible for leading end-to-end design, development, and deployment of scalable AI/ML solutions, ensuring high performance, reliability, and maintainability. Additionally, you will coach the team on AI/ML projects, resolve technical challenges, and establish robust MLOps practices for model development, deployment, monitoring, and retraining. Leveraging Gen AI techstack, including Langchain, LLM, and RAG, you will build solutions that address business challenges and incorporate advanced technologies into the company's applications. To excel in this role, you should have 10+ years of overall experience, including 5+ years of leading engineering teams. A Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field is required, with proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML. You must possess a deep understanding of AI/ML algorithms, frameworks, and technologies, along with experience in building and deploying AI/ML models at scale. Furthermore, a strong knowledge of software engineering best practices, including agile development methodologies, code review processes, and CI/CD pipelines, is essential. Familiarity with Generative AI, RAG techniques, NLP concepts, and programming languages such as Python is also required. Experience in a distributed, large-scale, and fast-growing environment is preferred. If you have experience in LangChain, it would be considered a bonus. Please note that visa sponsorship is not available for this position. We are committed to fostering a diverse, welcoming, and inclusive environment where all individuals are encouraged to bring their authentic selves to work. Our recruitment process ensures fair consideration of all applicants, including those with arrest and conviction records, in compliance with applicable laws. At our company, we believe in empowering our employees to achieve success through a flexible workforce model, offering options for fully office-based, fully remote, or hybrid work environments. We value the unique backgrounds and abilities of our team members, recognizing the diverse experiences that contribute to our collective success. If you require any accommodations during the application process, please contact resume@newrelic.com. To learn more about our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,

You are seeking a Full Stack Developer AI/ML with 0-1 year of experience to join an innovative team in Jodhpur. The ideal candidate should possess a solid understanding of machine learning models, backend development, and web application deployment. Your responsibilities will include designing, developing, and deploying AI/ML models for real-world applications, working with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks, and developing RESTful APIs to integrate AI models with web applications. Additionally, you will be responsible for implementing and maintaining backend services using Node.js, FastAPI, or Flask, building and enhancing frontend UIs with React.js, Vue.js, or Angular, and managing databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. Furthermore, you will optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure), work on data preprocessing, feature engineering, and model evaluation, and deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). Collaboration with cross-functional teams for AI integration into business applications is also a part of your role. The required skills and qualifications for this position include 0-1 year of experience in AI/ML and full-stack development, strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, experience with backend development using Node.js, FastAPI, Flask, or Django, knowledge of frontend frameworks like React.js, Vue.js, or Angular, familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase), understanding of machine learning workflows, model training, and deployment, experience with cloud services (AWS SageMaker, Google AI, Azure ML), knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models, basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning, familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, D3.js, strong problem-solving and analytical skills, good communication, and teamwork skills. Preferred qualifications include experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face), knowledge of MLOps, model monitoring, and retraining pipelines, understanding of Reinforcement Learning (RL) and Generative AI, familiarity with Edge AI and IoT integrations, and previous internship or project experience in AI/ML applications. As part of the benefits, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

You will play a vital role as an AI/ML Engineer in a pioneering PropTech startup based in Dubai. The project involves developing a cutting-edge digital real estate platform that integrates AI/ML, data analytics, Web3/blockchain, and conversational AI for long-term sales and short-term stays. Your primary responsibility will be to operationalize machine learning models ensuring they are scalable and reliable for our innovative features. Your tasks will include designing and maintaining scalable infrastructure for training and deploying ML models, creating low-latency APIs for production use, managing data pipelines, and overseeing the MLOps lifecycle. Collaboration with data scientists, backend developers, and product managers will be essential to ensure efficient delivery of AI-driven features. Key Responsibilities: - Design, build, and maintain scalable infrastructure for training and deploying machine learning models. - Operationalize ML models such as the "TruValue UAE" AVM and property recommendation engine by creating robust APIs. - Develop and manage data pipelines to provide clean and reliable data for training and real-time inference. - Implement and manage the MLOps lifecycle including CI/CD for models, monitoring for model drift, and automated retraining. - Optimize the performance of ML models for speed and cost-efficiency in a cloud environment. - Collaborate with backend engineers to integrate ML services with the core platform architecture. - Work with data scientists to enhance model efficacy and feasibility. - Build the technical backend for the AI-powered chatbot, integrating it with NLP services and platform data. Required Skills and Experience: - 3-5+ years of experience in Software Engineering, Machine Learning Engineering, or related roles. - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - Strong proficiency in Python and software engineering fundamentals. - Experience deploying ML models in a production environment on major cloud platforms. - Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. - Experience with data pipelines using tools such as Apache Airflow, Kubeflow Pipelines, or cloud-native solutions. - Collaboration with cross-functional teams to integrate AI solutions into products. - Experience with cloud platforms and containerization (AWS, Azure, GCP, Docker, Kubernetes). Preferred Qualifications: - Experience in PropTech or FinTech sectors. - Direct experience with MLOps tools and platforms (MLflow, Kubeflow, AWS SageMaker, Google AI Platform). - Familiarity with big data technologies (Spark, BigQuery, Redshift). - Experience in building real-time machine learning inference systems. - Strong understanding of microservices architecture. - Experience working collaboratively with data scientists.,

You are a highly experienced Senior Python & AI Engineer who will lead the development of innovative AI/ML solutions. Your strong background in Python programming, deep learning, machine learning, and proven leadership skills will drive the team towards delivering high-quality AI systems. You will architect solutions, define technical strategies, mentor team members, and ensure timely project deliveries. In the technical realm, you will be responsible for designing and implementing scalable AI/ML systems and backend services using Python. Your role includes overseeing the development of machine learning pipelines, APIs, and model deployment workflows. Reviewing code, establishing best practices, and maintaining technical quality across the team will be key aspects of your responsibilities. As a team leader, you will guide data scientists, ML engineers, and Python developers, providing mentorship, coaching, and conducting performance evaluations. You will facilitate agile practices such as sprint planning, daily stand-ups, and retrospectives. Collaboration with cross-functional teams, including product, QA, DevOps, and UI/UX, will be essential for timely feature deliveries. In AI/ML development, you will develop and optimize models for NLP, computer vision, or structured data analysis based on project requirements. Implementing model monitoring, drift detection, and retraining strategies will contribute to the success of AI initiatives. You will work closely with product managers to translate business needs into technical solutions and ensure the end-to-end delivery of features meeting performance and reliability standards. Your technical skills should include over 5 years of Python experience, 2+ years in AI/ML projects, a deep understanding of ML/DL concepts, and proficiency in frameworks like PyTorch, TensorFlow, and scikit-learn. Experience with deployment tools, cloud platforms, and CI/CD pipelines is required. Leadership qualities such as planning, estimation, and effective communication are also crucial, with at least 3 years of experience leading engineering or AI teams. Preferred qualifications include a Masters or PhD in relevant fields, exposure to MLOps practices, and familiarity with advanced AI technologies. Prior experience in fast-paced startup environments is a plus. In return, you will have the opportunity to spearhead cutting-edge AI initiatives, face diverse challenges, enjoy autonomy, and receive competitive compensation with performance-based incentives.,

The Artificial Intelligence/Machine Learning Engineer position at CDM Smith involves collaborating with the Data Technology group within the Digital Engineering Solutions team to drive strategic Architecture, Engineering, and Construction (AEC) initiatives using advanced data technologies and analytics. By leveraging artificial intelligence (AI) and machine learning (ML), the individual will play a crucial role in providing actionable business insights and robust solutions for AEC professionals and client outcomes. The focus will be on utilizing advanced analytics, data science, and AI/ML to give the business a competitive edge, including understanding and managing data, architecting & engineering data for self-serve Business Intelligence (BI) and Business Analytics (BA) opportunities. As an AI/ML Engineer at CDM Smith, you will be responsible for applying state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases within the AEC domain. You will analyze large datasets to identify patterns and trends, participate in AI model testing and validation, and optimize AI/ML workflows through MLOps practices. Collaboration with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions will be a key aspect of this role. In addition to technical responsibilities, the position requires staying updated on the latest developments in AI/ML technologies and best practices, contributing to the development of documentation, standards, and best practices for data technology, and effectively communicating complex technical concepts to both technical and non-technical audiences. Strong problem-solving, critical thinking, and communication skills are essential for successfully executing highly complex projects and generating innovative solutions to improve business processes. To qualify for this role, you should have a Bachelor's degree and 1-2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Basic experience with building and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn, familiarity with cloud-based AI/ML services, programming languages such as R, Python, or Scala, and knowledge of MLOps practices are required. Understanding of data privacy, security, and ethical AI principles is essential to ensure compliance with relevant standards. This position does not require any travel. Please note that CDM Smith may conduct background checks, including criminal, employment, education, and drug testing, for designated positions. Employment will be contingent upon the successful completion of these checks.,

As a Senior Machine Learning Engineer in Healthcare Revenue Cycle Management (RCM) at BigRio, you will have the opportunity to work on cutting-edge projects with a team of top-tier professionals. BigRio is a remote-based technology consulting firm that specializes in delivering advanced software solutions, including custom development, cloud data platforms, AI/ML integrations, and data analytics. You are a problem-solver who enjoys owning high-impact initiatives and is excited about innovation in machine learning. You stay current with evolving technologies and bring hands-on experience in building, evaluating, and deploying models. Your ability to communicate comfortably across technical and non-technical audiences is crucial. Most importantly, you are motivated by the opportunity to improve healthcare systems through smart, data-driven solutions. The RCM product at BigRio is central to the platform, supporting billions in revenue processing each year. As part of the Data Science team, you will work on challenging problems in automation and optimization using advanced ML techniques. Collaboration with engineering is key to deliver intelligent features that seamlessly integrate into the healthcare platform. Additionally, you will be involved in managing production-grade ML deployments using modern cloud tools. Key Responsibilities: - Identify opportunities to apply machine learning to RCM workflows. - Design, develop, and deploy ML-based production services. - Adhere to and advocate for best practices in model development and engineering. - Conduct rigorous testing and validation of models and code. - Contribute to the development of internal tools and team standards. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 3-5 years of hands-on experience building, evaluating, and deploying ML models. - Strong programming skills in Python, with proficiency in SQL and Unix environments. - Experience with deep learning and neural network architectures (preferred). - Familiarity with training and fine-tuning LLMs or generative AI models (bonus). - Exposure to NLP or computer vision is a plus. - Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus. - Excellent communication skills, both written and verbal. BigRio is an Equal Opportunity Employer committed to diversity and inclusion in the workplace.,

You will be a Mid-Level Machine Learning Engineer responsible for leading the design, implementation, and maintenance of machine learning models, with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Additionally, you will collaborate with front-end developers to integrate AI functionalities into our React UI, aiming to provide a seamless user experience. Rigorous testing and performance evaluations will also be part of your responsibilities. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence (AI), Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is essential, along with the ability to train, validate, and test NN models. Proficiency in Python, ML frameworks (such as Tensor Flow, PyTorch), and ML ops is also required. Join our team and be a key player in the development of custom Large Language Models (LLMs) for legal research applications, and contribute to our innovative project's AI backend and React-based frontend.,

As an AI/ML Expert specializing in Computer Vision at TechGlobal, a global leader in strategy, technology consulting, and digital services, you will play a crucial role in designing, developing, and deploying AI-powered visual systems. These systems will interpret images and videos for various use cases such as object detection, facial recognition, image segmentation, anomaly detection, and more. Your key responsibilities will include developing applications and systems that leverage AI tools and Cloud AI services, creating proper cloud or on-premises application pipelines with production-ready quality. You will be tasked with developing new algorithms, enhancing existing models, and exploring innovative applications of AI to address complex challenges faced by clients. Additionally, you will work on emerging research tracks on Agentic AI autonomous systems, apply GenAI models in solutions, and delve into deep learning, neural networks, chatbots, and image processing. Collaboration with Responsible AI, Delivery leads, and Academia will be essential as you work on real-world applications such as digital assistants, healthcare agents, and enterprise automation. You will also be expected to lead research efforts, publish in top-tier conferences, mentor upcoming AI talent, and build novel solutions to industry challenges. The ideal candidate for this role should possess expertise in Computer Vision, and experience in Machine Learning, NLP, Gen AI, or LLM. Qualifications include a Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutes like IITs, IISc, IIITs, and ISIs. A minimum of 12 years of experience is required to excel in this position.,

The AI Presales Consultant is responsible for bridging the gap between technical expertise in Artificial Intelligence (AI) and the business requirements of international prospects. You will engage directly with clients to identify industry-specific use cases for Generative AI, design tailored solutions, collaborate with AI engineering teams, and develop compelling proposals that clearly articulate business value and technical feasibility. Your key responsibilities will include conducting industry-specific research to identify relevant AI and Generative AI use cases, assessing and differentiating between viable solutions, collaborating with AI Engineers to design tailored AI solutions, developing detailed user flows and solution architecture documents, leading client-facing demonstrations and proof-of-concept presentations, and maintaining strong client relationships. To qualify for this role, you should have a Bachelor's Degree in Computer Science, Engineering, IT, or related field, with advanced degrees preferred. You should have at least 7 years of experience in AI presales, solutions consulting, or business analysis roles. Demonstrable understanding of core AI and Generative AI concepts, experience in creating technical proposals, excellent communication and presentation skills, and the ability to manage multiple client engagements concurrently are essential qualifications. Preferred attributes include experience working with global clients, a self-motivated approach to learning emerging technologies, strong organizational skills, and familiarity with AI tools and cloud platforms. If you have a passion for innovation and possess the required technical expertise and business acumen, this role offers an exciting opportunity to drive strategic business enablement through AI solutions.,

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through both automated and manual testing methods. Collaborating closely with data scientists and software engineers, you will be responsible for testing, verifying, and validating AI applications to enhance their performance and usability. Your primary responsibilities will include designing and implementing detailed test plans and test cases for AI-based applications, conducting rigorous tests on various AI models and algorithms, identifying and reporting defects, bugs, and anomalies in AI behavior, and developing automated test scripts for efficient testing. Additionally, you will work on preparing test data, conducting functional and regression testing, and assisting in training and fine-tuning AI models based on user feedback. To excel in this role, you will need a Bachelor's degree with relevant experience, strong knowledge of AI technologies and machine learning frameworks, excellent communication skills, and the ability to work collaboratively in an Agile development environment. You should also be detail-oriented, proactive, and willing to accept feedback to implement changes effectively. Preferred qualifications include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position based at Matrix Tower, Pune, India, with a day shift schedule. If you are a cross-functional teammate who is organized, flexible, and eager to contribute to the QA processes and testing frameworks for AI development, we encourage you to apply for this exciting opportunity.,

Qualcomm India Private Limited is a leading technology innovator pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. Collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Minimum Qualifications: - Possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Senior Machine Learning & Data Engineer: Join our team as a Senior Machine Learning & Data Engineer with expertise in Python development. Design scalable data pipelines, build and deploy ML/NLP models, and enable data-driven decision-making within the organization. Key Responsibilities: - Data Engineering & Infrastructure: Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies. - Machine Learning & NLP: Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. - Python Development: Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. - Collaboration & Communication: Work closely with cross-functional teams to integrate ML solutions into production systems. Required Qualifications: - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Automation Engineer: As an Automation Engineer proficient in C#/Python development, you will play a crucial role in developing advanced solutions for Product Test automation. Collaborate with stakeholders to ensure successful implementation and operation of automation solutions. Responsibilities: - Design, develop, and maintain core APIs using C#. - Identify, troubleshoot, and optimize API development and testing. - Stay updated with industry trends in API development. Requirements: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.,

As a Data Scientist at our Mohali location, you will be responsible for designing, developing, and evaluating both supervised and unsupervised machine learning models. Your role will involve collaborating with data and product teams to create end-to-end ML solutions and analyzing large datasets using Python and SQL to extract valuable insights. You will continuously enhance model performance using real-world data and maintain detailed documentation of models, experiments, and processes. To excel in this role, you should possess a Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Strong proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy) and SQL is essential. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs is a plus. Preferred qualifications include familiarity with vector databases, embeddings, and fine-tuning or prompt engineering for LLMs, as well as experience with cloud services (AWS, GCP, or Azure). This is a full-time, permanent position with benefits including paid sick time and Provident Fund. The work schedule involves day and morning shifts, and proficiency in English is necessary. The job location requires in-person work in Chandigarh, Chandigarh, and candidates with 3 years of experience in Data Science are preferred. If you are ready to contribute your expertise to building and optimizing machine learning models for real-world applications, while working with a collaborative team, we encourage you to apply for this exciting opportunity.,

The Spec Analytics Intmd Analyst role is a developing professional position that requires dealing with problems independently and having the latitude to solve complex issues. It involves integrating specialty area knowledge with industry standards and practices, understanding team integration for accomplishing objectives, and applying analytical thinking and data analysis tools. Attention to detail is crucial for making judgments and recommendations based on factual information, along with professional judgment when interpreting data. The role involves communicating information in a systematic manner, utilizing communication and diplomacy skills, and impacting business activities closely. The quality and timeliness of service provided will affect the effectiveness of the team and closely related teams. The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. The team focuses on enhancing client experience, driving acquisitions, cross-sell, and revenue growth by extracting relevant insights, identifying business opportunities, and using big data tools and AI/ML techniques to achieve data-driven business outcomes. As a Spec Analytics Intmd Analyst (C11) in the TTS Analytics team, the role involves working on multiple analyses throughout the year on various business problems across client experience for the TTS business. This includes leveraging different analytical approaches, tools, and techniques, working with multiple data sources, and providing data-driven insights to business partners. Endless curiosity, ideation on analytical projects, and working with large and complex data sets are essential aspects of the role. The incumbent will work with internal and external data sets, recommend business strategies, document data requirements, perform data collection/processing/cleaning, explore data analysis, and assess risk for business decisions. Building partnerships with cross-functional leaders and ensuring compliance with applicable laws and regulations are also key responsibilities of the role. Qualifications for this position include 5-8 years of relevant experience in data science, substantial experience in resolving business problems, utilizing text data for deriving business value, working with Python and SQL extensively, and having a master's degree in Engineering, Technology, Statistics, Economics, or similar quantitative disciplines. Strong analytical skills, proficiency in converting business problems into analytical tasks, hands-on experience with data retrieval and manipulation, and expertise in tools like Python, SQL, and PySpark are required. Good to have skills include prior experience in the Customer experience domain, working on developing Agentic AI solutions, and experience with Tableau. This job description offers a high-level overview of the work performed, and additional job-related duties may be assigned as needed.,

As a Salesforce Developer at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your primary focus will be on customizing and enhancing Salesforce to align with the specific business requirements. You will collaborate with cross-functional teams to design and implement new features to drive business growth. Your key responsibilities will include working on Salesforce projects to earn points on Trailhead, participating in code reviews to ensure high-quality standards, and troubleshooting and debugging issues in existing applications. It is essential to stay updated with the latest developments in Salesforce and related technologies to leverage innovative solutions effectively. Softsensor.ai is a USA and India-based corporation specializing in data-driven outcomes for clients. Our team comprises seasoned professionals with a wealth of experience in leading global consulting firms and corporations. We are dedicated to utilizing data science and analytics to enhance organizational performance. We are at the forefront of cutting-edge technologies such as NLP, CNN, and RNN, applying them in a business context to drive innovation and efficiency.,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides 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. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

As an experienced Data Scientist with expertise in Machine Learning and NLP/GenAI, you will have the exciting opportunity to join our dynamic team and work on challenging data science projects that have a significant impact on our client outcomes. Your key responsibilities will include leading and growing client accounts with onshore stakeholders, managing the accounts delivery team focused on data science and AI, preparing responses for Request for Proposal and Request for Information, developing quick Proof of concepts for client visits and demos, implementing advanced machine learning models and GenAI based solutions in client projects, and ensuring solid understanding of NLP from transformers to the new generation LLMs. In addition, you will be required to develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing, as well as effectively communicate results and insights to both technical and non-technical stakeholders. For qualifications, you should hold a Bachelors or Masters degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field. You should possess strong skills in Python, SQL, API and backend integration, code version control, in-depth knowledge of machine learning algorithms and statistical methods used in client engagements, and hands-on experience with Retriever Augmented Generations and Agentic Frameworks. Moreover, you should have hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others, code version control, docker-based model deployment knowledge, and familiarity with at least one cloud provider among Azure, GCP, or AWS. Your ability to manage multiple projects and meet tight deadlines in a fast-paced environment, willingness to adapt to new technologies, strong analytical and problem-solving skills, attention to detail, and excellent communication skills will be crucial for success in this role. With 14-20 years of experience, you are well-positioned to excel in this challenging and rewarding opportunity.,