96 Language Processing Jobs nearby Alappuzha

You have a fantastic opportunity ahead if you are passionate about machine learning engineering and AI development. Here is what you can expect in this role: **Role Overview:** You will be responsible for designing, developing, and optimizing machine learning models for various applications across different domains. Additionally, you will build natural language processing pipelines for tasks such as text generation, summarization, and translation. Your role will involve developing and deploying cutting-edge generative AI & Agentic AI applications, implementing MLOps practices, and integrating machine learning capabilities into existing products or building new AI-powered applications. You will also be involved in data mining, cleaning, preparation, and augmentation for training robust ML models. Collaboration with cross-functional teams to translate AI requirements into technical implementations will be a key aspect of your responsibilities. Furthermore, you will ensure model performance, scalability, and reliability while continuously researching and implementing state-of-the-art AI/ML algorithms and techniques. Managing the end-to-end ML lifecycle from data processing to production deployment will also be part of your role. **Key Responsibilities:** - Design, develop, and optimize machine learning models for applications across different domains. - Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. - Develop and deploy cutting-edge generative AI & Agentic AI applications. - Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. - Integrate machine learning capabilities into existing products or build new AI-powered applications. - Perform data mining, cleaning, preparation, and augmentation for training robust ML models. - Collaborate with cross-functional teams to translate AI requirements into technical implementations. - Ensure model performance, scalability, reliability. - Continuously research and implement state-of-the-art AI/ML algorithms and techniques. - Manage the end-to-end ML lifecycle from data processing to production deployment. **Qualification Required:** - Minimum 5 years of experience in machine learning engineering and AI development. - Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. - Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. - Bachelors or masters degree in computer science, AI, Statistics, Math, or related fields.,

As a Python developer at Berryworks, you will be responsible for building world-class machine learning solutions using your hands-on experience and expertise in object-oriented programming, data structures, algorithms, and web application development. Your role will involve developing elegant solutions and client-ready product features to make a significant impact on product development. Key Responsibilities: - Utilize your 1+ years of hands-on experience in programming to develop elegant solutions - Develop client-ready product features with a strong customer-focused mindset Qualifications: - Proficiency in NodeJS or Python - Experience in working with natural language processing models - Experience with data and integrations - Familiarity with DynamoDB or other NoSQL Databases - Experience working on the AWS platform for development - Comfort with Agile development methodology - Excellent verbal and written communication skills for effective collaboration Qualification Required: - Bachelors degree in Computer Science or equivalent Berryworks is a fast-growing SaaS company based in Kochi, aspiring to be the next Unicorn. It offers a fast-paced environment where you can work with hands-on leaders who are passionate about growing people and bringing out the best in them.,

Role Overview: You will be a Generative AI Specialist responsible for designing, developing, and deploying Generative AI solutions using various open-source models. Your role will involve fine-tuning pre-trained models, building and evaluating prompts, developing multimodal models, collaborating with cross-functional teams, and staying updated with the latest advancements in generative AI. Key Responsibilities: - Design, develop, and deploy Generative AI solutions using GPT, Llama, Claude, and other open-source models. - Fine-tune and optimize pre-trained models on domain-specific datasets. - Build and evaluate prompts and retrieval-augmented generation (RAG) pipelines for LLM applications. - Develop and enhance multimodal models integrating text, image, and/or audio data. - Collaborate with product, data science, and engineering teams to integrate AI capabilities into products. - Stay updated with the latest developments in generative AI and apply them to business problems. - Maintain model performance through testing, benchmarking, and continuous improvements. Qualification Required: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. - Proven expertise in on-premises infrastructure and technologies. - 1-3 years of practical experience with Natural Language Processing (NLP) or generative AI models. - Proficiency in Python and machine learning frameworks like PyTorch or TensorFlow. - Hands-on experience with Hugging Face Transformers, LangChain, or LlamaIndex. - Deep understanding of model fine-tuning, embeddings, and vector databases (e.g., FAISS, Pinecone). - Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure. - Strong analytical and problem-solving abilities, with a collaborative mindset in fast-paced environments. - Experience working with diffusion models, image/video generation, or speech synthesis. - Knowledge of MLOps tools and end-to-end model deployment pipelines. - Contributions to open-source AI/ML projects are highly valued.,

Job Description: As a Data Science Trainer, your primary responsibility will be to deliver advanced training sessions in various topics related to data science. You will cover a wide range of subjects including: - Python Programming for Data Science - Mathematics & Statistics for AI - AI Ethics - Data Access, Handling and Visualization - Analyzing Data with Python - Visualizing Data with Python - Tableau - Machine Learning - Deep Learning - Natural Language Processing - Computer Vision (CV) - Full Stack Development - Generative AI - R Programming - Scala - Spark Qualifications Required: - Proficiency in Python programming - Strong understanding of Mathematics & Statistics for AI - Experience in conducting training sessions on various data science topics - Knowledge of Machine Learning, Deep Learning, and Natural Language Processing - Familiarity with tools like Tableau, R Programming, Scala, and Spark Additional Details: This is a full-time position that requires you to conduct training sessions in person. You will be expected to start on the 23rd of July, 2025.,

As a Senior Software Engineer specializing in Laravel and AngularJs, you will be responsible for designing, developing, and maintaining web applications, collaborating with cross-functional teams, and ensuring code quality through CI/CD pipelines. Your role will also involve mentoring junior developers and providing clear documentation for code and development processes. Key Responsibilities: - Design, develop, and maintain web applications using Laravel and Vue.js. - Design and manage databases using MySQL or other relational databases. - Write clean, maintainable, and efficient code following best practices. - Perform unit testing and ensure code quality through CI/CD pipelines. - Collaborate with designers, product managers, and other developers. - Identify and resolve performance and scalability issues. - Provide mentorship to junior developers and contribute to knowledge sharing. - Maintain clear documentation for code and development processes. Required Skills: - Proficiency in PHP 7+ or 8+ with modern PHP features and practices. - Good knowledge and hands-on experience in Slim Framework. - Exceptional skills in JavaScript. - Good to have knowledge in Angular, Python Server, and PowerBI. - Experience with Laravel framework, including MVC architecture, Eloquent ORM, blade templates, routing, and artisan commands. - Good to have familiarity with Slim for lightweight applications, emphasizing middleware and dependency injection principles. - Good to have expertise in AngularJS for building dynamic single-page applications. - Experience with modern HTML/CSS practices. - Proficient in MariaDB or MySQL for database management. - Familiar with version control systems like Git. - Understanding of RESTful services and APIs. - Ability to work in an agile development environment. Preferred Skills: - Ability to work with Power BI real-time APIs for data visualization. - Basic understanding of image processing models and libraries or experience interfacing with cloud-based services. - Familiarity with incorporating GPT APIs for natural language processing tasks. Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and teamwork abilities. - Ability to work in cross-functional teams. Qualification: - Bachelors degree in Computer Science, Engineering, or a related field. If you choose to join us, you will be part of a forward-thinking company that encourages creativity and problem-solving, offers opportunities for career growth and professional development, fosters a collaborative culture, and provides competitive compensation including attractive salary packages and performance-based incentives.,

As a Data Scientist at Sentient Scripts, you will play a crucial role in designing, developing, and maintaining data pipelines and analytical models focusing on Generative AI and Large Language Models (LLMs). With your strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights to advance cutting-edge R&D initiatives. Your responsibilities will include: - Designing, building, and optimizing scalable data pipelines for processing structured and unstructured data for analytical, Generative AI, and LLM-based applications. - Developing and implementing analytical models, Generative AI solutions, and LLM workflows using Python, open-source frameworks, and libraries. - Collaborating with cross-functional teams to define data requirements and deliver actionable insights from complex datasets for AI-driven systems. - Conducting hands-on development for in-house R&D projects, exploring innovative data solutions, Generative AI use cases, and LLM integrations. - Ensuring data quality, integrity, and security across all systems and processes, especially for AI model training and deployment. - Documenting workflows, processes, and technical specifications to support knowledge sharing and scalability. - Staying updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualization in powerBI/tableau Required Qualifications: - 3-5 years of professional experience in data engineering, data analysis, or related roles. - Proficiency in Python programming for data processing, analysis, and model development, including Generative AI and LLM applications. - Hands-on experience with open-source data tools, frameworks, and LLM ecosystems. - Strong knowledge of analytical modeling techniques, statistical analysis, machine learning, Generative AI, and data visualization. - Experience with relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB). - Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., AWS, GCP, Azure). - Problem-solving mindset with a passion for innovation and R&D in AI technologies. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. At Sentient Scripts, you will have the opportunity to work on groundbreaking R&D projects with real-world impact, focusing on Generative AI and LLM innovations in a collaborative and dynamic work environment that encourages growth and learning.,

As an Account Executive at our MNC headquartered in the UK, your role will involve coordinating with the UK office and overseeing various financial tasks to ensure accuracy and efficiency. Your responsibilities will include: - Reviewing and approving cashbook transactions - Ensuring accurate and timely bank reconciliations across multiple currencies - Managing foreign currency transactions and ensuring correct application of exchange rates - Maintaining data accuracy and system integrity within NetSuite - Utilizing OCR invoice processing tools for efficiency and control - Supporting month-end and year-end close activities, including accruals and reconciliations - Maintaining internal controls over financial transactions and reporting - Preparing and delivering regular reports on A/P aging, cash flow, and outstanding liabilities - Providing insight and analysis to assist in financial decision-making To excel in this hands-on leadership role, you should possess: - Proven experience with NetSuite - Strong knowledge of OCR invoice processing systems - Hands-on experience with bank reconciliations and multicurrency accounting - Solid understanding of accounting principles and financial controls - Excellent communication skills for collaboration across international teams and time zones - Analytical mindset, detail-oriented, and ability to work under tight deadlines Desired qualifications include: - Bachelor's degree in Accounting, Finance, or related field (CA/CPA/ICWA qualification preferred) Education: Master's degree preferred Experience: 2 years in accounts preferred, total work experience of 2 years preferred Language: Fluent in English License/Certification: Proficiency in Excel preferred Please note that this is a full-time, permanent position that requires in-person work at our location.,

Role Overview: You will play a crucial role in designing and implementing efficient data solutions on the Google Cloud Platform (GCP). Your strong data engineering skills, GCP expertise, and proficiency in data processing technologies, particularly PySpark, will be essential in this role. Key Responsibilities: - Design, implement, and optimize end-to-end data pipelines on GCP with a focus on scalability and performance. - Develop and maintain ETL workflows for seamless data processing. - Utilize GCP services such as BigQuery, Cloud Storage, and Dataflow for effective data engineering. - Implement and manage data storage solutions on GCP. - Leverage PySpark for advanced data transformations, ensuring high-quality and well-structured output. - Implement data cleansing, enrichment, and validation processes using PySpark. Qualifications Required: - Proven experience as a Data Engineer, with a strong emphasis on GCP. - Proficiency in GCP services such as BigQuery, Cloud Storage, and Dataflow. - Expertise in PySpark for data processing and analytics is a must. - Experience with data modeling, ETL processes, and data warehousing. - Proficiency in programming languages such as Python, SQL, or Scala for data processing. - Relevant certifications in GCP or data engineering are a plus.,

As an Immediate Joiner, you will play a vital role in designing, developing, and integrating LLM-powered applications into enterprise systems. Your responsibilities will include: - Building REST/GraphQL APIs to ensure seamless AI model integration. - Implementing prompt engineering techniques and optimizing embeddings for enhanced performance. - Evaluating LLM performance in terms of accuracy, latency, and cost, and suggesting improvements. - Working on fine-tuning and customization of models to cater to specific enterprise use cases. - Collaborating effectively with cross-functional teams to deliver AI-driven productivity solutions. - Ensuring compliance with AI safety, security, and data privacy standards. To excel in this role, you must possess the following skills: - Strong expertise in Python development. - Hands-on experience with Large Language Models (LLMs) such as OpenAI GPT. - Proficiency in REST/GraphQL API integration. - Knowledge of data preprocessing, embeddings, and prompt engineering. - Understanding of fine-tuning/customization of LLMs for enterprise applications. - Familiarity with vector databases. - Strong grasp of AI safety, security, and compliance considerations. Additionally, the following skills would be beneficial: - Experience with Generative AI automation for enhancing enterprise productivity. - Familiarity with cloud platforms like AWS, Azure, and GCP for AI deployment. - Exposure to AI/ML pipelines and MLOps. - Knowledge of cost optimization techniques in AI workloads. If you are genuinely interested and ready to join immediately, send your details via email to nitin.patil@ust.com for quick processing. Act fast to grab this opportunity!,

As a Generative AI Lead Developer at EY, you will have the opportunity to design, build, and deploy cutting-edge generative AI solutions. Your role will involve leading a team of engineers, collaborating with product managers, and staying updated on the latest advancements in generative AI. **Key Responsibilities:** - Design and develop AI and Generative AI based custom solutions for service delivery teams. - Implement and deploy generative AI systems into production in collaboration with team members. - Monitor and manage generative AI systems to ensure performance and reliability. - Establish best practices for building, deploying, and managing generative AI systems. - Stay informed on the latest research in generative AI and apply new knowledge to projects. - Collaborate with engineers, scientists, and product managers to deliver innovative generative AI solutions. - Mentor and guide junior engineers in the team. **Qualifications:** - Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field. - 1+ years of experience in generative AI. - 6+ years of experience in AI-based software development. **Preferred Skills and Experience:** - Proficiency in designing, building, and deploying scalable machine learning models on cloud platforms like Azure or GCP. - Familiarity with various generative AI models and techniques. - Experience with deep learning models including GANs, diffusion models, and transformers. - Knowledge of prompt engineering and machine learning optimization. - Expertise in computer vision, natural language processing, reinforcement learning, and distributed computing. - Experience with DevOps, CI/CD, machine learning ethics, and generative AI applications in domains like talent management and finance. - Excellent communication and interpersonal skills. Join EY to contribute to building a better working world through innovative AI solutions and be part of a diverse global team dedicated to creating long-term value for clients, people, and society.,

Job Description: As an AI enabled IT Trainer, your responsibility will be to conduct training sessions on artificial intelligence technologies to IT professionals and students. You will create and implement training programs covering various aspects of AI, including machine learning, deep learning, natural language processing, and computer vision. Key Responsibilities: - Conduct engaging and informative training sessions on AI technologies. - Develop training materials like presentations, hands-on exercises, and assessments. - Offer guidance and support to participants throughout the training. - Keep abreast of the latest trends in AI to enhance training programs. - Collaborate with other trainers and subject matter experts to enhance training content and delivery. Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Demonstrated experience in AI technologies such as machine learning, deep learning, and natural language processing. - Excellent communication and presentation skills. - Strong analytical and problem-solving capabilities. - Certification in AI or a related field would be advantageous.,

As a Python Intern at our company, you will have the opportunity to work alongside experienced developers, gaining hands-on experience in various software development tasks, automation projects, and data processing initiatives. **Key Responsibilities:** - Assist in writing, testing, and debugging Python code for various applications and tools. - Support automation of routine tasks using Python scripts. - Participate in software design and development discussions. - Work on data extraction, transformation, and visualization tasks. - Collaborate with team members on version control (e.g., Git) and code reviews. - Help with documentation of code, APIs, and project workflows. - Research and prototype solutions to specific technical problems. **Qualifications Required:** - Proficiency in Python programming language. - Basic understanding of software development principles. - Strong problem-solving skills. - Ability to work well in a team environment. - Good communication skills. This position is Full-time, Fresher, Internship with a contract length of 6 months. The work location is remote, and the schedule includes day and morning shifts with the possibility of a performance bonus.,

As a Senior Manager / Director in the Risk Advisory practice specializing in credit risk management at EY, you will be responsible for leading a team to execute and deliver engagements, collaborating with industry professionals to develop risk management strategies, and demonstrating deep technical expertise in financial products with a focus on lending solutions. Your key responsibilities will include: - Leading a team of 2-3 Managers, 10-12 Senior consultants, and analysts for engagement execution and delivery - Showcasing exceptional project management abilities and fostering a collaborative environment among team members - Demonstrating deep technical expertise in financial products, particularly in lending solutions - Designing, assessing, and benchmarking financial risk management policies and frameworks - Staying abreast of market trends and challenges in the financial services sector - Monitoring project progress, managing risks, and effectively communicating with key stakeholders - Reviewing, analyzing, and validating the work completed by junior team members - Adapting to projects involving model audits, validation, and development Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with 10-12 years of experience in financial services risk management - Strong background in consulting firms and/or top banks - Excellent analytical and problem-solving skills - Proficiency in statistics, econometrics, and credit risk model development - Knowledge of AI & machine learning applications in risk management - Advanced technical skills in Python, SAS, SQL, R, and Excel - Strong communication, presentation, and documentation skills - Ability to manage expectations and deliver high-quality results under tight deadlines Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR - Knowledge of regulatory modeling and stress testing processes - Experience in climatic risk space and Interest Rate Risk in Banking Book - Familiarity with machine learning models and their practical applications - Prior project management experience - Willingness to travel for client engagements At EY, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will have the freedom and flexibility to handle your role in a way that suits you, with opportunities for personal development and a focus on high quality and knowledge exchange. As a Senior Manager / Director in the Risk Advisory practice specializing in credit risk management at EY, you will be responsible for leading a team to execute and deliver engagements, collaborating with industry professionals to develop risk management strategies, and demonstrating deep technical expertise in financial products with a focus on lending solutions. Your key responsibilities will include: - Leading a team of 2-3 Managers, 10-12 Senior consultants, and analysts for engagement execution and delivery - Showcasing exceptional project management abilities and fostering a collaborative environment among team members - Demonstrating deep technical expertise in financial products, particularly in lending solutions - Designing, assessing, and benchmarking financial risk management policies and frameworks - Staying abreast of market trends and challenges in the financial services sector - Monitoring project progress, managing risks, and effectively communicating with key stakeholders - Reviewing, analyzing, and validating the work completed by junior team members - Adapting to projects involving model audits, validation, and development Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with 10-12 years of experience in financial services risk management - Strong background in consulting firms and/or top banks - Excellent analytical and problem-solving skills - Proficiency in statistics, econometrics, and credit risk model development - Knowledge of AI & machine learning applications in risk management - Advanced technical skills in Python, SAS, SQL, R, and Excel - Strong communication, presentation, and documentation skills - Ability to manage expectations and deliver high-quality results under tight deadlines Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR - Knowledge of regulatory modeling and stress testing processes - Experience in climatic risk space and Interest Rate Risk in Banking Book - Familiarity with machine learning models and their practical applications - Prior project management experience - Willingness to travel for client engagements At EY, you will have the opportunity to work on inspiring and meaningful projects, receive support and coaching from engaging colleagues, develop new skills, and progress your career. You will have the freedom and flexibility to handle

Role Overview: You will be responsible for designing, developing, and integrating LLM-powered applications into enterprise systems. Additionally, you will be building REST/GraphQL APIs for seamless AI model integration, implementing prompt engineering techniques, and optimizing embeddings for performance. Evaluating LLM performance and recommending improvements, fine-tuning/customizing models for enterprise use cases, and collaborating with cross-functional teams to deliver AI-driven productivity solutions will also be part of your role. Ensuring compliance with AI safety, security, and data privacy standards will be crucial. Key Responsibilities: - Design, develop, and integrate LLM-powered applications into enterprise systems - Build REST/GraphQL APIs for seamless AI model integration - Implement prompt engineering techniques and optimize embeddings for performance - Evaluate LLM performance (accuracy, latency, cost) and recommend improvements - Work on fine-tuning/customization of models for enterprise use cases - Collaborate with cross-functional teams to deliver AI-driven productivity solutions - Ensure compliance with AI safety, security, and data privacy standards Qualification Required: - Strong Python development expertise - Hands-on experience with Large Language Models (LLMs) (e.g., OpenAI GPT) - Experience in REST/GraphQL API integration - Proficiency in data preprocessing, embeddings, and prompt engineering - Knowledge of fine-tuning/customization of LLMs for enterprise applications - Familiarity with vector databases - Strong understanding of AI safety, security, and compliance considerations Additional Company Details: Immediate joiner required. Only genuinely interested candidates should apply. Candidates ready to join immediately can share their details via email for quick processing. Act fast for immediate attention! If you are interested in the role, please send your resumes to nitin.patil@ust.com.,

As a hands-on developer at Berryworks, you will have the opportunity to work on building world-class machine learning solutions using your expertise in Python or NodeJS. Your role will involve leveraging your knowledge of object-oriented programming, data structures, algorithms, and web application development to create elegant solutions. Additionally, you will be responsible for developing client-ready product features, showcasing your strong customer-focused mindset. Key Responsibilities: - Utilize your proficiency in NodeJS or Python to develop innovative solutions - Work on natural language processing models to enhance product features - Collaborate with data and integrations to streamline processes - Employ DynamoDB or other NoSQL Databases for efficient data management - Utilize AWS platform for development purposes - Embrace Agile development methodology and thrive in an agile environment - Communicate effectively with cross-functional teams Qualifications: - Proficiency in NodeJS or Python - Experience with natural language processing models - Proficiency in data handling and integrations - Familiarity with DynamoDB or other NoSQL Databases - Experience working on the AWS platform - Comfortable with Agile development methodology - Excellent verbal and written communication skills Minimum Qualification: - Bachelors degree in Computer Science or equivalent Join Berryworks, a fast-growing SaaS company in Kochi that aims to become the next Unicorn. Immerse yourself in a fast-paced environment where you can work with passionate leaders dedicated to personal growth and excellence.,

As a Data Science Intern at our Ernakulam location, you will be part of a comprehensive internship program designed to equip aspiring data science professionals with industry-relevant skills and practical experience. Through real-world projects and expert guidance, you will gain valuable knowledge in data science and machine learning concepts to kickstart your career in this field. **Key Responsibilities:** - Gain practical knowledge of data science and machine learning concepts. - Obtain hands-on experience in data preparation, model building, training, testing, and deployment. - Explore real-world use cases and applications of AI and data science techniques. - Receive guidance from industry experts to enhance technical skills and boost career confidence. **Qualifications Required:** - Freshers passionate about starting a career in data science or AI. - Candidates willing to commit to a 3-month on-site/online internship program. This internship program will focus on key areas such as programming with Python, web development with Flask, mathematics for data science, statistical analysis, artificial intelligence fundamentals, machine learning techniques, deep learning models, computer vision applications, natural language processing (NLP), and data visualization tools. The program highlights include hands-on training by experienced professionals, practical assignments to enhance technical and problem-solving skills, and comprehensive preparation for technical interviews and project development. **Additional Details:** Contract Duration: 3 months Start Date: 25/05/2025 Job Type: Internship, Fresher Work Arrangement: In-person at our Ernakulam/calicut location By the end of this program, you will be equipped to become an industry-ready candidate capable of building applications or excelling in interviews with top-tier IT companies. **Note:** Job Types include Full-time, Part-time, Fresher, Internship with a contract length of 3 months. The work schedule consists of day shift, evening shift, Monday to Friday, morning shift, and the work location is in person at the Ernakulam location. Application deadline is 15/06/2025, and the expected start date is 15/06/2025.,

As a Senior AI/ML Specialist - Healthcare at iWARE Software Solutions, you will play a crucial role in architecting, building, and deploying innovative AI solutions to meet the strategic objectives of our clients in the healthcare industry. Here's a breakdown of your role: **Key Responsibilities:** - **Technical Leadership & Strategy:** - Lead the end-to-end architecture, design, and development of advanced AI/ML models for healthcare applications. - Define the technical vision and roadmap for AI projects in alignment with business goals and clinical needs. - Provide technical guidance and mentorship to a team of data scientists and machine learning engineers. - Stay updated with the latest AI research and incorporate cutting-edge techniques into our solutions. - **Solution Design & Development:** - Architect ML pipelines for diverse healthcare data modalities like EHR, medical imaging, genomics, wearables, and clinical notes. - Develop and validate models for disease prediction, medical image analysis, clinical NLP, drug discovery, and more. - Ensure fairness, bias mitigation, and interpretability in model building. - **Healthcare Domain Expertise & Compliance:** - Apply deep understanding of healthcare data standards and clinical workflows to ensure practical and effective solutions. - Ensure compliance with data privacy regulations and collaborate with regulatory affairs for clinical validation and approval. - **Execution & Deployment:** - Lead the MLOps lifecycle from experimentation to deployment and continuous improvement of models. - Collaborate with engineering and IT teams to integrate AI models into clinical applications. - Establish model monitoring frameworks for performance tracking in live settings. **Required Qualifications:** - **Education:** Master's or Ph.D. in Computer Science, Data Science, or related field. - **Experience:** 7-10 years in designing and deploying AI/ML solutions, with 5 years in healthcare domain. **Technical Skills:** - **Expert Proficiency:** Python, SQL, Scikit-learn, TensorFlow, PyTorch, Keras. - **Data Expertise:** Healthcare data, FHIR, DICOM. - **NLP/CV Specialization:** NLP (e.g., spaCy, BERT) or CV (e.g., CNNs) applied to healthcare. - **MLOps & Cloud:** MLflow, Kubeflow, Airflow, AWS, GCP, Azure. **Domain Knowledge:** Understanding of clinical workflows, medical terminology, and regulatory landscape. **Soft Skills:** Excellent communication, leadership, project management, and problem-solving abilities. Join us at iWARE Software Solutions and be part of a team that is dedicated to leveraging AI in healthcare to make a real impact.,

Role Overview: As a Data Engineer at Guidehouse, you will be responsible for leading and executing data engineering projects from inception to completion. Your role will involve building and optimizing data architectures for operational and analytical purposes. Collaborating with cross-functional teams to gather and define data requirements, implementing data quality, data governance, and data security practices, and managing and optimizing cloud-based data platforms will also be key aspects of your responsibilities. Additionally, you will develop and maintain Python/PySpark libraries for data ingestion, processing, and integration with internal and external data sources. Mentoring junior data engineers and evaluating new technologies to improve data infrastructure will also be part of your role. Key Responsibilities: - Lead and execute data engineering projects ensuring timely delivery and high quality. - Build and optimize data architectures for operational and analytical purposes. - Collaborate with cross-functional teams to define data requirements. - Implement data quality, data governance, and data security practices. - Manage and optimize cloud-based data platforms such as Azure and AWS. - Develop and maintain Python/PySpark libraries for data ingestion, processing, and integration. - Design and optimize scalable data pipelines using Azure Data Factory and Spark (Databricks). - Assist stakeholders with data-related technical issues and support their data infrastructure needs. - Develop frameworks for data ingestion, transformation, and validation. - Mentor junior data engineers and guide best practices in data engineering. - Evaluate and integrate new technologies and tools to enhance data infrastructure. - Ensure compliance with data privacy regulations. - Monitor performance and troubleshoot issues across the data ecosystem. Qualifications Required: - Bachelor's or master's degree in Computer Science, Information Systems, Statistics, Math, Engineering, or related discipline. - Minimum of 10+ years of hands-on experience in data engineering and cloud services. - Experience in leading and mentoring team members. - Good experience in Azure Data Factory (ADF), Databricks, Python, and PySpark. - Knowledge of modern data storage concepts like data lake and lake house. - Experience with other cloud services like AWS and data processing technologies is advantageous. - Ability to enhance and resolve defects in ETL processes using cloud services. - Proficiency in handling large volumes of incoming data from various sources in different formats. - Experience with programming languages such as Java or .Net is preferred. - Familiarity with software development methodologies and version control tools. - Strong problem-solving, self-starter, and fast learner with analytic and quantitative skills. - Good communication skills. Additional Company Details: Guidehouse is an Equal Opportunity Employer that offers a comprehensive total rewards package including competitive compensation and flexible benefits. The company is committed to creating a diverse and supportive workplace environment.,

As a German Counsellor & Visa Processing Specialist with Expertise in Ausbildung, your role will involve providing guidance and advice to students, professionals, and individuals interested in pursuing education, training, or career opportunities in Germany. You will assist clients with counseling on educational and vocational pathways, including the popular Ausbildung programs, and guide them through the visa application process. Key Responsibilities: - Provide expert advice and counseling to clients regarding studying, working, and living in Germany, with a focus on Ausbildung (vocational training programs). - Assist clients in selecting the appropriate Ausbildung program aligned with their career goals and qualifications. - Guide clients in understanding the benefits of pursuing vocational training in Germany, including program structure, apprenticeship opportunities, and post-training career prospects. - Stay updated on German education system information, vocational training trends, and immigration policies. - Assist clients in preparing and submitting visa applications for studying, vocational training, and working in Germany. - Provide detailed guidance on documentation and requirements for various visas, including Student Visas, Work Visas, Training Visas, and Schengen Visas. - Ensure accurate and timely completion of all visa applications and resolve visa-related queries with German consulates or embassies. - Help clients understand the available Ausbildung programs in Germany, entry requirements, language proficiency, and career prospects. - Assist in applying to Ausbildung programs, guiding clients through the application processes, necessary qualifications, and document preparation. - Collaborate with vocational training institutions, schools, and companies to stay informed on current Ausbildung opportunities. - Support clients in preparing for interviews and meeting Ausbildung program requirements. - Collect, verify, and organize required documentation for visa and Ausbildung applications, including financial statements, educational qualifications, and training program details. - Prepare visa application forms, review documents for accuracy and compliance with German immigration regulations and training institution guidelines. Qualifications: - Education: Bachelor's degree or equivalent, preferably in fields such as International Relations, German Studies, Business Administration, or Vocational Education. - Experience: Minimum of 3 months experience in German counseling, visa consultancy, vocational education, or related fields. - Skills & Competencies: Proficiency in German (written and spoken), understanding of German immigration laws, visa processing procedures, knowledge of the German vocational education system, excellent communication and interpersonal skills, ability to work independently and in a team, detail-oriented with strong organizational skills, proficiency in Microsoft Office and CRM tools. Please note: The job is full-time and permanent with day shift and morning shift schedules, and the work location is in person at Hilite Business Park.,

Role Overview: As a MIS Analyst, your main responsibility will be to analyze business needs and convert them into technical requirements for MIS systems. You will design, develop, and implement new or enhanced MIS systems to ensure they meet organizational standards and user requirements. Additionally, you will be collecting, processing, and analyzing data from various sources to identify trends, patterns, and insights, and creating reports and dashboards to visualize data for decision-making purposes. Moreover, you will evaluate existing systems and processes for improvement opportunities, developing and implementing solutions as needed. Key Responsibilities: - Analyze business needs and translate them into technical requirements for MIS systems - Design, develop, and implement new or improved MIS systems - Collect, process, and analyze data from various sources - Identify trends, patterns, and insights from data - Create reports and dashboards to visualize data and support decision-making - Evaluate and identify areas for improvement in existing systems and processes - Develop and implement solutions to address identified issues Qualifications Required: - Strong analytical and problem-solving skills - Knowledge of database management systems (e.g., SQL, Oracle, MySQL) - Experience with data analysis tools and techniques - Familiarity with reporting and visualization tools (e.g., Tableau, Power BI) - Knowledge of programming languages (e.g., Python, Java) can be a plus - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Strong organizational and time management skills - Ability to learn and adapt to new technologies - Bachelor's degree in computer science, information systems, or a related field is generally required - Relevant certifications (e.g., CRISC, CISSP) can be an advantage Company Details: The company requires the MIS Analyst to have at least 4 years of experience in data analysis skills. This is a full-time position that requires in-person work at the specified location. (Note: The additional details of the company were not mentioned in the provided Job Description) Role Overview: As a MIS Analyst, your main responsibility will be to analyze business needs and convert them into technical requirements for MIS systems. You will design, develop, and implement new or enhanced MIS systems to ensure they meet organizational standards and user requirements. Additionally, you will be collecting, processing, and analyzing data from various sources to identify trends, patterns, and insights, and creating reports and dashboards to visualize data for decision-making purposes. Moreover, you will evaluate existing systems and processes for improvement opportunities, developing and implementing solutions as needed. Key Responsibilities: - Analyze business needs and translate them into technical requirements for MIS systems - Design, develop, and implement new or improved MIS systems - Collect, process, and analyze data from various sources - Identify trends, patterns, and insights from data - Create reports and dashboards to visualize data and support decision-making - Evaluate and identify areas for improvement in existing systems and processes - Develop and implement solutions to address identified issues Qualifications Required: - Strong analytical and problem-solving skills - Knowledge of database management systems (e.g., SQL, Oracle, MySQL) - Experience with data analysis tools and techniques - Familiarity with reporting and visualization tools (e.g., Tableau, Power BI) - Knowledge of programming languages (e.g., Python, Java) can be a plus - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - Strong organizational and time management skills - Ability to learn and adapt to new technologies - Bachelor's degree in computer science, information systems, or a related field is generally required - Relevant certifications (e.g., CRISC, CISSP) can be an advantage Company Details: The company requires the MIS Analyst to have at least 4 years of experience in data analysis skills. This is a full-time position that requires in-person work at the specified location. (Note: The additional details of the company were not mentioned in the provided Job Description)