358 Summarization Jobs - Page 6

Job Description Position Title Assisstant Manager MIS & Costing Company Inox Solar Limited Grade / Level V Division / Department Finance & Accounts Job Purpose Preparation of budget and monitoring the actual performance and analyze the variance over budget. Report Automation with help of IT team. Preparation of process wise costing and variance analysis. Proficient in preparation of different MIS reports. Interaction with cost & statutory auditors. Proficient in preparation of different MIS report. Data collection, summarization and analysis with commentary on reports for management. Decision making analysis (i.e., make or buy decision, optimum product mix, investment pay back, IRR and ARR). Plant fixed cost monitoring report Raw material quarterly audit. Warehouse FG quarterly audit. MIS on COPQ tracking. (RM wastages, FG Downgrades) Educational Qualifications Skills and academic qualifications Minimum Qualification - CA/CA Inter Preferred Qualification - CA Functional Skills Functional Skills Required - Sound understanding of accounting practices and standards. ? Hands on in SAP – FICO /MM module. ? Knowledge of SAP/SAP- Hana and transaction flow in SAP from module to module. ? Working knowledge of IT, accountancy, budgeting and scheduling software. Technical Skills required - Hands on in SAP – FICO /MM module. Relevant and total experience Total Number of experience required - A minimum of 2 years of experience is required in a similar kind of profile. Relevant experience required in - A minimum of 2 years of experience is required in a similar kind of profile. Apply Show more Show less

Ahmedabad Full Time Assistant Manager / Manager - Plant HR OBJECTIVE To support the Factory Operations by ensuring systematic implementation of HR strategy and processes in the factory to leverage human resources for higher people productivity, build high quality Teams, focus on cost optimization and harmonious industrial relations. LEGAL & STATUTORY COMPLIANCE To ensure 100% compliance to all the Statutes applicable to Factory and also with all work norms and work practices agreed in Long Term Settlement. Ensure 100% compliance to the Workplace Rights Policy (WRP) guidelines. WELFARE Take ownership in ensuring the welfare facilities such as Canteen, Restroom, Toilets and other requirements are provided as per the Factories Act, 1948 and maintain well in line with the Company philosophy. Ensure to drive equality in applicability of these facilities among all categories of employees including Contract Labour. Handling all statutory compliances /Audits I.e. Wages Act, Bonus Act, Gratuity Act, CLA etc., liasioning with Labour, Factory, Weight & Measuring, and Pollution authorities for day-to-day issues. Responsible/ Ensuring for all 02 manufacturing plants on time Statutory Compliances and semi-governmental agency compliance i.e. Factories Act, Employment Exchange Act, I D Act other Labour & Industrial Laws. Independent look after the audits Conducted by Various Department i.e (ESIC, PF, Factory, labour Department, Conducting statutory and social Audits of Units, Contractor’s Social and Statutory Compliances Audits etc. Drafting, vetting and pleading of Written Statements, replies of application, cases, agreements, application, deeds and other company docs as and when required etc. Preparing the legal cases MIS and represent before the management. Developing the HR plans and policies in conjunction with the company’s overall development plan i.e. adequate manpower deployment, Manpower succession Planning, Shop Floor Management Etc. Maintaining good internal communication within and outside the company. Introduced new different benefit plans for the employees like Medical, accidental and group gratuity scheme. Manpower optimization utilization and deployment in all plants, Cost, and General Administration of the Plants level. Examining the contractor’s bills and giving approval for final payments; Attendance System of both Permanent and Contractual employees and Salary Preparation of all the Permanent employees. Ensuring resolution of employee grievance and examining the grievances under grievance- redressal system. Supervising activities of Canteen, Rest Room, Ambulance and Dispensary etc. Complies the Welfare amenities to the employees under the schemes rule by Labour Welfare Board. Mediclaim Insurance and Accidental policy of all Employees. Maintain & Update the different types of registers/Forms required under various Labour Laws and Laisoning with Govt. authorities. Tracking of leave Records (Causal, Sick and Earned Leave), records of Salary Sheets, Salary Slips, Over Time, Compensatory Holidays, Incentives on monthly basis, Leave Encashment, Med claim etc. TALENT ACQUISITION Ensure timely hiring of 150 Employees for new Projects expansion Ensure timely Releasing offer letters / appointment letters. Facilitating joining formalities, conducting Induction / orientation program to management, staff, company & company policies. Planning of overall recruitment process within the approved recruitment budget. Analysis of Competency mapping & workmen category skill set. Managed various Campus Recruitment and initiating the DET Concept In the Organisation. Hired More than 300 DET Within the Region as per business Plan. PERFORMANCE MANAGEMENT SYSTEM Managing & Ensuring the Plant KRAs – Defining, Mid-Year review & Year End Review Proposing the Bell curve as a part of annual appraisal to the Management SDP (succession Development Plans) & its Execution & Validation of Hipots Oversee smooth implementation of HR policies for Manpower Planning, Recruitment, Induction& Orientation and Training & Development. Organizing training about new policies and new projects, Discipline, Self-motivation, leadership etc. training needs & annual training plan. Maintain good Liaison with Various Government of Gujarat Authorities & local bodies. Strengthen the Audits & Activities related to Shop Floor Management for healthy work environment & ensure the Safety, 5’S & Discipline, Ensured smooth shop floor running without any manpower shortage. Implementation of SAP and attendance/payroll software; Led zero accident and 100% safe environment at shop floor. Oversee Implementation of Kaizen activities at all the levels through total employee involvement, (Kaizen Competitions – Internal & External). Facilitating the Performance Management process including normalization and compliance in coordination with Business Heads and the Talent Management Team. Handling Performance Appraisal process & identifying scope for enhancement through the evaluation of KRA and summarization report submit to top management for approval. Prepare career growth plan for high potential employees based on competency mapping, PMS and making Succession Planning accordingly. Delivered 7% cut in manpower budget by time to time re calibrating HR processes. PLANT ADMINISTRATION Monitoring & controlling all administration related activities of plants including 5’S, Security, company’s transport, canteen, guest house etc. Led cost cutting in administration costs by 10% by re calibrating the administrative process. Institutionalized manpower planning and contractual manpower. Led project on plant productivity and HR MIS. implementation of SAP and attendance/payroll software Annual Budget Planning . Daily Monitoring of Manpower, Overtime, & Productivity to control the Manpower Cost as per Budget. Developing and keep alive various reports for management, which make it easy to make decisions regarding the current resources, planning, new projects, and so many other management decisions. Monthly MIS Generation, includes recruitment, attrition, training, PMS, Manpower cost, Department KRA & Regional KRA etc. OTHER INFORMATION Location of Position Factory and Corporate Location A-3/6/7, Swagat Industrial Park-1, Bakrol(Bujrang), AHMEDABAD

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Experience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Show more Show less

Job Summary As a Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for designing, developing, and deploying data extraction pipelines from documents. You will use state-of-the-art machine learning models, NLP techniques, and cloud platforms to improve automation, data quality, and overall decision-making processes. This role requires strong technical expertise, creative problem-solving, and hands-on experience with cloud technologies. Key Responsibilities Design and implement advanced NLP models to extract structured data from unstructured document formats (e.g., PDFs, Word, scanned images, emails, etc.). Leverage Generative AI techniques for data enhancement, content summarization, and document generation where necessary. Develop, fine-tune, and deploy machine learning models to enhance document understanding and automate data extraction processes. Collaborate with engineering teams to integrate NLP models into cloud-based data pipelines and workflows (AWS, Azure, or GCP). Build scalable and efficient data extraction workflows, ensuring high accuracy and performance of models. Conduct end-to-end data science activities, from data collection, cleaning, and exploration, to feature engineering and model deployment. Ensure the security, scalability, and compliance of data processing solutions deployed in the cloud. Evaluate and improve existing document extraction tools and processes, suggesting innovative solutions. Stay updated on the latest trends in NLP, Generative AI, and Cloud technologies, applying these advancements to enhance model performance and operational efficiency. Required Skills & Qualifications Minimum of 5 years of hands-on experience in Data Science, with a focus on NLP, machine learning, and AI. Strong proficiency in Python and libraries like SpaCy, NLTK, Hugging Face Transformers, and TensorFlow/PyTorch. Deep knowledge of document processing techniques, including OCR, text extraction, and document classification. Experience with Generative AI models (e.g., GPT, BERT) and their application in data extraction or document processing tasks. Expertise in cloud technologies (AWS, Azure, GCP) for building and deploying data-driven solutions. Proficiency in data manipulation and analysis using libraries like Pandas, NumPy, and SQL. Hands-on experience with model deployment frameworks and tools like Docker, Kubernetes, or MLFlow. Familiarity with version control (Git), CI/CD processes, and Agile development practices. Strong problem-solving skills, with the ability to design innovative solutions for complex document extraction challenges. Excellent communication skills and ability to work in cross-functional teams. Preferred Qualifications Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or related field. Experience with Large Language Models (LLMs) and advanced NLP techniques such as transfer learning and few-shot learning. Familiarity with document management systems (DMS) or enterprise content management (ECM) platforms. Experience with deploying and scaling machine learning models in production environments. Understanding of data privacy regulations and secure processing of sensitive information. Show more Show less

Responsibilities Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG). Implement scalable machine learning models and algorithms to solve complex challenges. Research and integrate the latest AI tools and frameworks into existing systems. Stay up-to-date with advancements in AI/ML research and apply them to practical problems. Experiment with and implement Generative AI technologies across multiple domains. Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments. Utilize open-source large language models (LLMs) such as LLama3 in AI application development. Key Skills Strong understanding of Agentic AI concepts and applications. Hands-on experience with Retrieval-Augmented Generation (RAG) models. Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with Large language models (e.g., GPT-4, LLama, Amazon Bedrock) and integrating them into production systems. Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index. Experience in building and deploying AI/ML solutions using cloud platforms (AWS, GCP, Azure). Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Experience with model optimization, fine-tuning, and inference strategies to improve system performance. Preferred Skills Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Background in computer vision and image generation techniques. If you're passionate about AI/ML and excited about contributing to the future of intelligent systems with Generative AI technologies, we encourage you to apply! Join us in shaping the next generation of AI-driven innovation. Show more Show less

Data Scientist Location : Hyderabad, India Reports to : Line Manager in the Organization Department : Data Science Type of Position : Full Time About us: Pragmatic Play is a leading content provider to the iGaming and Betting Industry, offering a multi-product portfolio that is innovative, regulated and mobile-focused. Pragmatic Play strives to create the most engaging and evocative experience for customers globally across a range of products, including slots, live casino, sports betting, virtual sports and bingo. Pragmatic Play India Pvt. Ltd. is the Indian subsidiary of Pragmatic Play Ltd. We are seeking a talented and experienced Data Scientist with strong experience in ML powered search - Semantic search, Learning to Search Ranking (LTR), AutoComplete & Spell check, Query Understanding & augmentation, Natural language search. The ideal candidate will possess in-depth knowledge and experience in different problems such as image classification, object detection, semantic segmentation, text summarization, language models, etc. Key Responsibilities Design, develop and implement advanced algorithms for ML Based search. Designed and develop algorithm for search ranking, spell check, auto complete and session level personalization. Improve overall customer experience by optimizing the response time, architecture, algorithms and models. Implement different kind of personalization i.e. user level, session level and region level. Develop API keeping in mind for low internet bandwidth customers. Design large-scale AI/ML systems end-to-end in a very fast-paced environment. Integrate AI/ML systems into existing data pipelines and systems. Identify areas of improvement in existing solutions. Key Skills Strong experience in statistical analysis, Machine learning and deep learning techniques, particularly those related to computer vision and natural language processing (NLP). Proven track record of deploying scalable machine learning models in real-world applications Strong problem-solving skills and the ability to translate business requirements into analytical solutions. Prior experience in handling very large transactional datasets across different business functions. A self-starter and self-motivated individual who can work independently with other teams. Outstanding verbal and written communication skills Passion to stay updated with the latest advancements in AI, deep learning, generative AI and related system design areas. Lead research initiatives to explore new methodologies, tools, and technologies. Preferred Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or a related field. Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch. Familiarity with key deep learning metrics and optimization techniques. Strong Knowledge of version control systems, particularly Git. If you are a skilled Data Scientist who has passion to work in a fast-paced environment, have an eye for details and ready to experiment new things, we encourage you to apply and be part of our dynamic and innovative team and organization. What We Offer competitive compensation depending on experience Opportunities for professional and personal development Opportunities to progress within a dynamic team. Chance to work with close and collaborative colleagues Comprehensive health coverage About Pragmatic Play We are a leading game developer providing player-favorites to the most successful global brands in the iGaming industry. Powering up new possibilities of play through one single API, we offer a multi-product portfolio of award-winning slots, live casino, bingo, virtual sports, sportsbook and more, available in all major regulated markets, languages and currencies. Driven by a persistence to craft immersive experiences and responsible thrills, our professional team consistently delivers best-in-class services with a dedication to create games that players love time and time again. OUR VALUES PERSISTENCE We never give up and are determined to be the best at what we do. RESPECT We value and respect our clients, their players, and our team members; promoting professionalism, integrity and fairness without compromise. OWNERSHIP We take ownership of our work and consistently deliver in a reliable manner; always providing the highest level of quality. Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Consultant , AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 4, 2025, 6:34:09 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Required Skills & Qualifications: 0–1 years of experience in AI/ML with a focus on Python-based development . Strong understanding of ML fundamentals and experience using frameworks like Hugging Face Transformers . Exposure to Gen-AI tools such as OpenAI (GPT-3.5/4), Claude, LLaMA, or similar APIs. Understanding of NLP tasks such as summarization, sentiment analysis, entity recognition, etc. Curiosity and ability to stay current with research papers, GitHub projects, and AI trends. Preferred (Nice to Have): Hands-on experience with RAG , Vector Databases (like FAISS, ChromaDB, Pinecone). Knowledge of prompt engineering , tokenization , attention mechanisms , and transformers . Exposure to multi-modal models , LLM orchestration , or chatbot development . Familiarity with cloud services (AWS, GCP, or Azure) and containerized deployments (Docker). Show more Show less

Job Summary As a Senior Data Scientist specializing in NLP, Generative AI, and Cloud technologies, you will be responsible for driving the development of data extraction solutions from documents at scale. This role requires advanced technical expertise in machine learning, NLP, and cloud computing, with a focus on automating document understanding processes and enhancing the quality of data extraction through state-of-the-art techniques. You will lead the design, implementation, and deployment of scalable NLP and AI models, mentor junior data scientists, and work collaboratively with cross-functional teams to deliver innovative solutions. This is a strategic role that requires both deep technical knowledge and leadership capabilities to shape the future of document data extraction within the organization. Key Responsibilities Lead Data Extraction Solutions: Design, implement, and scale advanced NLP and machine learning models for automating the extraction of structured data from a wide range of unstructured documents (e.g., PDFs, scanned images, contracts, reports, etc.). Generative AI Expertise: Leverage Generative AI models (such as GPT, BERT, and related architectures) for tasks such as document summarization, content generation, and enhancing extracted data. Cloud-Based Deployment: Architect and deploy data extraction models and workflows in cloud environments (AWS, Azure, GCP), ensuring scalability, reliability, and cost-efficiency. Model Development & Optimization: Develop and fine-tune machine learning and NLP models, ensuring high performance in accuracy, efficiency, and robustness for real-world data extraction tasks. Data Pipeline Design: Build and optimize end-to-end data pipelines, including data preprocessing, feature engineering, and model deployment, to process large-scale document datasets in the cloud. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to understand requirements, provide technical solutions, and deliver impactful data-driven results. Research & Innovation: Stay up-to-date with the latest advancements in NLP, machine learning, and AI, applying cutting-edge research to improve data extraction methodologies. Mentorship & Leadership: Lead and mentor a team of junior data scientists, providing guidance on best practices, model development, and cloud deployment. Model Monitoring & Maintenance: Establish systems for monitoring model performance in production and ensure models are maintained and updated based on new data or changing requirements. Compliance & Security: Ensure data processing and extraction workflows adhere to industry standards, data privacy regulations, and security protocols, particularly when working with sensitive information. Required Skills & Qualifications Experience: Minimum 8 years of experience as a Data Scientist or similar role, with a focus on NLP, machine learning, and AI. At least 3 years in a senior or lead capacity. NLP & Document Processing Expertise: Proven experience applying NLP techniques such as Named Entity Recognition (NER), Optical Character Recognition (OCR), information extraction, document classification, and semantic analysis for data extraction from unstructured text. Generative AI: Advanced knowledge of Generative AI models (e.g., GPT-3, BERT, T5) and experience applying them to real-world document and text processing tasks. Cloud Technologies: Extensive experience with cloud platforms (AWS, Azure, or GCP) for deploying data pipelines, managing machine learning models, and processing large datasets. Programming Skills: Proficiency in Python and libraries such as SpaCy, Hugging Face Transformers, TensorFlow, PyTorch, and scikit-learn. Data Pipeline & DevOps Tools: Hands-on experience with building, optimizing, and deploying data pipelines in cloud environments, including tools like Docker, Kubernetes, Apache Airflow, and MLFlow. Data Handling & Analysis: Expertise in data manipulation and analysis using tools such as Pandas, NumPy, and SQL, and ability to work with large datasets. Leadership & Communication: Strong leadership and mentoring abilities, with excellent written and verbal communication skills to explain complex technical concepts to non-technical stakeholders. Problem Solving: Exceptional problem-solving skills with a creative approach to tackling challenges related to document data extraction. Collaboration: Experience working in a collaborative, cross-functional team environment to deliver end-to-end solutions. Preferred Qualifications Advanced Degree: Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field. Advanced NLP Techniques: Experience with state-of-the-art NLP methods such as transfer learning, attention mechanisms, and reinforcement learning applied to document data extraction. Compliance Experience: Familiarity with legal, financial, or healthcare industry regulations regarding data privacy and document processing. Industry Experience: Previous experience in industries such as finance, legal, healthcare, or other sectors that heavily rely on document data extraction. Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Xinthe Technologies is a global software services and product engineering company that focuses on helping businesses stay relevant and thrive in a technology driven world. Job Title: Technical Lead - Computer Vision with Python Programming Location: Visakhapatnam Experience Required: 10+ years of total experience, with at least 8 years in relevant roles Education: B.Tech/ M. tech Job Description: We are seeking a highly skilled and experienced Technical Lead specializing in Computer Vision with Python Programming, with a focus on image and video processing. The ideal candidate will have a strong academic background, significant hands-on experience in computer vision, and a proven track record of lead ing technical teams. Key Responsibilities: Technical Lead ership: Lead a team of computer vision engineers and developers. Provide technical direction and mentorship to team members. Drive the design, development, and deployment of computer vision algorithms and applications. Project Management: Oversee project planning, execution, and delivery within stipulated timelines. Collaborate with cross-functional teams to ensure seamless integration of computer vision solutions. Manage stakeholder expectations and communicate project progress effectively. Research and Development: Stay updated with the latest advancements in computer vision, image processing, and video processing technologies. Conduct research to develop innovative solutions and improve existing methodologies. Publish findings in reputed journals and conferences. Software Development: Develop, optimize, and maintain Python-based computer vision codebases. Implement state-of-the-art machine learning algorithms for image and video analysis. Ensure code quality through rigorous testing and documentation. Image and Video Processing: Design and implement algorithms for image enhancement, restoration, and transformation. Develop solutions for video analysis, including object tracking, motion detection, and video summarization. Optimize processing pipelines for real-time performance. System Architecture: Design scalable and efficient architectures for computer vision systems. Integrate computer vision modules with other system components and services. Client Interaction: Understand client requirements and translate them into technical specifications. Present technical solutions and demonstrate product capabilities to clients. Provide post-deployment support and address client queries and issues. Required Skills and Qualifications Technical Skills: Proficiency in Python and its libraries (e.g., Open CV, TensorFlow, PyTorch). Strong understanding of computer vision concepts (e.g., object detection, image segmentation, feature extraction). Extensive experience in image processing (e.g., filtering, edge detection, image transformation). Significant experience in video processing (e.g., object tracking, motion analysis, video encoding/decoding). Familiarity with machine learning and deep learning frameworks. Experience with software development practices (e.g., version control, unit testing, continuous integration). Lead ership Skills: Proven ability to lead and mentor technical teams. Excellent project management and organizational skills. Communication Skills: Strong verbal and written communication skills. Ability to present complex technical information to non-technical stakeholders. Please revert to me with your updated CV or feel free to call me at 9963348886. Happy Working !! Show more Show less

Count on us. Our "we-care" culture is more than just a motto; it's a promise. From day one, we prioritize your growth, well-being, and success. You can count on us to support your career journey and help you achieve your professional goals. Join us. Within our investment banking group, our team focuses on providing merger and acquisition services to companies throughout North America and Europe. Since our inception, we have successfully completed more than 250 financial advisory engagements for a wide array of clients in virtually every business sector Who We Are. PMCF, a U.S. registered broker/dealer, is an investment bank providing merger and acquisition services to middle market companies throughout North America, Europe and Asia. Since being formed in 1995, our investment banking team has served a wide array of clients, including individual and family-owned businesses, large public companies, and private equity firms. Our Team Of Professionals Has More Than 230+ Years Of Industry Experience And Is Organized By Industry, With Specializations In Industrials, Plastics & Packaging, Business Services, Technology & Software, Consumer/Food/Retail, And Healthcare. We Bring Up-market Analysis, Strategy, And Capability To The Middle Market By Fostering a deep and trusting relationship with each client. Providing continuous senior-level involvement throughout the process. Developing supported positioning points aligned with value drivers and growth opportunities. Identifying potential impact risk factors and creating mitigating strategies. Leveraging the deep industry experience. Providing on-the-ground global coverage through our international colleagues through Corporate Finance International. As an affiliate of Plante Moran, one of the dozen largest accounting and professional services firms in the nation, we deliver an intimate knowledge of the middle market coupled with an array of services that rivals large, international investment banks. Simultaneously, we maintain a culture of independence and senior-level involvement that supports our middle-market clients and their financial needs. Your role. Responsibilities This position will assist in preparing various analytical and data-driven components for the development of M&A transactions. The candidate will be responsible for conducting various tasks in a format desired by the team in India and/or United States. These tasks include: Data Analytics: Preparation and summarization of data from raw client outputs in a more presentation-friendly and discernible format Financial Analysis: Assist in aspects of financial modeling including building financial statements from trial balances, and compiling and formatting financial statement analytics Market Research: Conduct comprehensive market research to identify and summarize key market trends and industry-specific dynamics Client Presentations: Assist in the preparation of client presentations and pitch materials Buyer Research: Perform in-depth buyer research to assess the suitability of prospective investors Other ad hoc research and presentation tasks Education & Experience. Bachelors’ or Master’s Degree in Accounting or Finance IPCC/PE II cleared and /or MBA Finance would be preferred Two years+ post-qualification experience with demonstrated knowledge of working in a similar function The Qualifications. Efficient use of research databases Business writing acumen to include proper grammar, style, and presentation Thorough financial statement analysis skills Strong analytical skills Outstanding time management and organization skills Superior attention to detail and conscientious quality of work product Ability to work under minimal supervision This is a non-exempt position, so you may have to work hours that exceed the standard 40-hour work week. This position may require travel. What makes us different? On the surface, we’re one of the nation’s largest audit, tax, consulting, and wealth management firms. But dig a little deeper, and you’ll see what makes us different: we’re a relatively jerk-free firm (hey, nobody ‘s perfect) with a world-class culture, consistent recognition as one of Fortune Magazine’s “100 Best Companies to Work For,” and an endless array of opportunities. At Plante Moran, diversity, equity and inclusion means that all staff members have equitable and fair opportunities to succeed, in an inclusive environment, with their individual, unique identities. So, what are you waiting for? Apply now. Plante Moran enjoys a “Workplace for Your Day” model which, simply put, means we strive for flexibility and balance while staying true to our principally in-person model. We believe that face-to-face interactions are paramount for individual and collective development, but also encourage individuals to work with their supervisor and team to determine their optimal working environment each day. Plante Moran is committed to a diverse workplace. We strive to create a culture where each person feels accepted and valued. We believe that each person’s ultimate potential begins with first acknowledging their inherent dignity. When we can recognize — and celebrate — our many human differences, we’re able to create a workplace where all staff feel a sense of belonging and an opportunity to succeed. This allows us to attract and retain the best talent, serve clients through diverse thinking, and better represent and support the various communities in which we live and work. Plante Moran is an Equal Opportunity Employer. Plante Moran maintains a drug-free workplace. Interested applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of interest in our positions, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship, with the exception of qualified candidates who are bilingual in either Japanese and English or Chinese and English. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Plante Moran. The specific statements above are not intended to be all-inclusive. Show more Show less

Description The Selling Partner Trust & Integrity organization's North Star vision ensures that while bad actors are effectively blocked, legitimate selling partners can build and grow their businesses without disruption, fostering trust and confidence in Amazon's store integrity worldwide. Within this framework, the Selling Partner Support Operations (SPTO) Registration and Compliance Escalations Support (RCES) team manages high-priority escalations across executive, legal, PR, and regulatory channels. RCES team's scope encompasses multiple verification, compliance and Regulatory programs. Through close partnership with product, tech, and operations teams, RCES provides comprehensive resolution on escalations while conducting detailed Root Cause Analysis (RCA) where required. Beyond immediate issue resolution, through Close Loop Mechanism (CLM) program RCES plays a crucial role in improving the selling partner experience by identifying process gaps and developing and tracking effective, scalable solutions to prevent similar issues from arising in the future. About The Role We're seeking a highly analytical Business Analyst to join our RCES team to analyze complex business decisions, develop workflow tools, and transform large-scale datasets into actionable insights through dashboards and automated solutions. The ideal candidate will have strong SQL proficiency and experience with visualization tools like Quicksight, Tableau, or Power BI, along with the ability to work across multiple data platforms including AWS. This role requires someone who can design effective data schemas, leverage internal AI tools to automate root cause documentation and VOS data summarization, while collaborating with Business Intelligence and Data Engineering teams. The position demands expertise in handling real-time and near real-time data, strong problem-solving skills, and the ability to elevate our technical capabilities while working with our distributed analytics team to drive process improvements through automation and data-driven solutions. Basic Qualifications Bachelor's degree in Business, Analytics, Computer Science, or related field 5+ year’s experience in data analytics with advanced Excel proficiency (VBA, pivot tables, array functions, power pivots) 3+ years hands-on experience with data visualization tools (Tableau, Quicksight, or Power BI) Strong SQL proficiency and experience working with large datasets Demonstrated experience in requirements gathering and metrics-driven analysis Track record of translating complex data into actionable business recommendations Experience collaborating with cross-functional teams and influencing senior stakeholders Background in automation and process improvement initiatives Strong problem-solving and analytical skills with attention to detail Excellent written and verbal communication skills Experience with AI/ML tools and automated workflow development Preferred Qualifications Master's degree in Business Analytics, Data Science, Finance, or related quantitative field 3+ year’s experience in business analytics, risk management, or related analytical fields Knowledge of AWS services and cloud-based data platforms Experience working with global, distributed teams Project management experience leading cross-functional initiatives Background in process automation and optimization Understanding of risk management frameworks and compliance processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A2999527 Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 6 years Location: Bangalore JobType: full-time About The Role We’re looking for an Advanced AI Scientist who thrives at the intersection of cutting-edge research and production-grade AI development. In this role, you will lead initiatives to build and deploy generative AI systems with applications across vision and language . From fine-tuning large-scale transformer models to integrating computer vision pipelines, your work will power next-generation features across our AI-driven product suite. This role offers an opportunity to dive deep into generative models, leverage both LLMs and computer vision systems , and collaborate with a team that believes in pushing technical boundaries. What You’ll Do Architect and train generative AI models including diffusion models, GANs, and transformer-based systems for text and image generation. Fine-tune and optimize Large Language Models (LLMs) like GPT, T5, or BERT for use cases such as summarization, content generation, and intelligent chat interfaces. Develop robust computer vision pipelines using OpenCV for tasks such as image enhancement, object recognition, or scene understanding. Collaborate with cross-functional teams across product, engineering, and design to embed intelligent capabilities into production systems. Prototype with Keras, PyTorch, and TensorFlow to build scalable models that transition smoothly from research to production. Analyze large datasets, clean noisy inputs, and build preprocessing pipelines optimized for multimodal AI workflows. Stay current with research developments in AI/ML—transformers, diffusion models, multimodal learning—and bring those insights into applied projects. Ensure high availability and performance of models in cloud and edge environments via containerized deployments using Docker and Kubernetes. Contribute to internal knowledge sharing and mentor junior members of the AI/ML team. What You Bring 6–11 years of hands-on experience in AI/ML engineering , particularly in generative models and applied deep learning. Deep expertise in Python , with practical knowledge of PyTorch , TensorFlow , and Keras . Experience designing, fine-tuning, and deploying LLMs in real-world applications. Strong foundation in computer vision , including techniques like image segmentation, detection, and transformation using OpenCV . Fluency in NLP techniques—tokenization, embeddings, transformers, attention mechanisms, etc. Comfort working with cloud environments (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes . Demonstrated ability to deliver AI models from experimentation to production. Strong communication skills and ability to work cross-functionally in agile teams. Preferred Master’s or PhD in Computer Science, Machine Learning, AI, or related fields. Research publications or open-source contributions in generative AI or computer vision. Experience working in fast-paced startups or product-centric environments with ownership of AI initiatives. Familiarity with vector databases, prompt engineering, or multimodal AI systems. Show more Show less

This role is for one of Weekday's clients Salary range: Rs 1200000 - Rs 1500000 (ie INR 12-15 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time Requirements About the Role We're looking for a highly skilled and motivated AI Engineer to join our growing team of machine learning practitioners, data scientists, and engineers. This role is ideal for someone passionate about building cutting-edge AI solutions using modern deep learning and NLP frameworks. You will work on a wide range of problems—from training and fine-tuning large language models to deploying intelligent systems at scale—while collaborating across product, data, and engineering teams. As an AI Engineer, you will be at the core of our AI initiatives, applying your knowledge in Python, PyTorch, TensorFlow, Scikit-Learn, and other key libraries to build, optimize, and deploy high-performing models. You will also be instrumental in adopting MLOps best practices to ensure that our models are scalable, maintainable, and reproducible. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world AI applications with a focus on natural language processing (NLP). Leverage libraries like PyTorch, TensorFlow, and Scikit-learn to build and train custom ML/DL models. Use Hugging Face Transformers, spaCy, and other NLP libraries to fine-tune and integrate state-of-the-art models for tasks like classification, summarization, entity recognition, and question answering. Implement MLOps practices such as experiment tracking, model versioning, CI/CD pipelines, and automated deployment. Collaborate with data engineers and analysts to preprocess and clean large datasets using Pandas and NumPy. Build and maintain reusable code and model components to streamline development and promote best practices. Evaluate model performance using rigorous metrics and troubleshoot issues related to bias, overfitting, or latency. Stay updated with the latest research, tools, and trends in AI, especially in the rapidly evolving NLP domain. Work cross-functionally with product, engineering, and business teams to define AI use cases and deliver high-impact solutions. Required Skills & Qualifications 4+ years of hands-on experience as an AI/ML Engineer or similar role. Strong programming skills in Python, with deep understanding of data structures, algorithms, and OOP principles. Expertise in PyTorch and/or TensorFlow for building and deploying deep learning models. Proficiency with Scikit-Learn, Pandas, NumPy, and other core Python libraries used in ML pipelines. Solid understanding and practical experience in natural language processing (NLP) using tools such as HuggingFace, spaCy, or similar. Familiarity with MLOps workflows, including model deployment, version control, and monitoring. Experience working with cloud environments or containerization tools is a plus (e.g., Docker, Kubernetes, AWS, GCP). Strong problem-solving, analytical, and communication skills. Preferred Qualifications Master's or Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field. Experience working on production-level NLP applications. Contributions to open-source ML libraries or participation in ML research Show more Show less

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. How will you make an impact in this role? The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed. We are seeking a strong, data-driven Senior Technical Program Manager who knows that delivering on that promise takes foresight, planning and agility. The Sr. Technical Program Manager will be a key member of the team, and will leverage their technical knowledge and project management skills to drive delivery of our data architecture target state implementation, data model migration, and data automation workstreams that underpin our Infrastructure Data Visualization Portal and other capabilities. They will translate business decisions into data analytics and visualization requirements, prioritize the team’s sprint backlog, and support engagement with data providers to ensure data is accessed and ingested consistently and correctly. This individual will be responsible for ensuring excellent and timely execution following agile practices and implementing appropriate agile ceremonies to manage risks and dependencies. This individual will require a unique blend of strong data analytics and leadership skills to manage and prioritize the data requirements across our suite of data and analytics tools and dashboards. They will bring passion for data-driven decisions, user experience, and execution to the role. Key Responsibilities Include Steer execution of data architecture and data model migrations to meet the needs of FinOps, Data Science and Business Intelligence teams, as well as other key partners Lead technical program conversations on architectureal approach, system design and data management and compliance Actively manage backlog for data migration, automation, and ingestion workstreams Develop and maintain data source and feature request ticketing process in Jira Partner across ID&A teams to ensure data requirements are met and timeline risks are managed and mitigated Establish appropriate agile processes to track and manage dependencies across disciplines in staying on track to meet short-term and long-term implementation roadmaps Collaborate with product teams to refine, prioritize, and deliver data and feature requirements through technical acumen, customer-first perspective, and enterprise mindset Support development of appropriate reporting processes to measure OKRs and performance metrics for delivery of our data lake architecture Create an environment of continuous improvement by steering and delivering reflective conversation and regular retrospectives, project standups, workshops, communications, and shared processes to ensure transparency of development process and project performance Facilitate stakeholder engagement, decision-making, and building trust across data providers and critical stakeholders Work with IT Asset Management, Enterprise Architecture, and Business & Vendor Management teams to define enterprise-scalable solutions that meet the needs of multiple stakeholders Partner with data engineering teams to develop, test and deliver the defined capabilities and rapidly iterate new solutions Facilitate and prepare content for leadership updates on delivery status and key decisions needed to support project delivery and de-risk implementation obstacles Partner in PI planning meetings and other Agile ceremonies for the team: pressure testing plans for feasibility and capacity Monitor and ensure compliance with SDLC standards Ensure and instill documentation best practices to ensure designs meet requirements and processes are repeatable Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights Establish ongoing metrics and units of measurement to clearly define success and failure points and to guide feature/capability prioritization based on business priorities Draft impactful and comprehensive communications, presentations, and talking points for key business reviews, executive presentations, and discussions; escalate and facilitate resolution of risks, issues, and changes tied to product development Act as point of contact for internal inquiries and key partnerships across Technology and business teams Minimum Requirements 6+ years of experience delivering data lake or backend data platform capabilities and features built using modern technology and data architecture techniques Proven track record for managing large, complex features or products with multiple partners Technical understanding of event-driven architectures, API-first design, cloud-native technologies, and front-end integration patterns in order to discuss technical challenges about system design and solutioning Ability to create clarity and execute plans in ambiguity, and to inspire change without direct authority Self-starter who is able to provide thought leadership and prioritization with limited guidance and in a complex environment Experience in data analytics, data architecture, or data visualization Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication Experience facilitating Agile, Scrum or other rapid application development teams to deliver technology solutions on time, on budget, and to spec Capable of leading technology and culture change with excellent strategic and technical thought leadership, and strong program management skills High attention to organization and detail in a deadline-driven work environment Proven ability to solve problems and resolve issues with appropriate communications and escalation criteria Outstanding oral and written communication skills with strong personal presence; active listening skills, summarization skills, and lateral thinking to uncover and react to emerging opportunities Deep understanding of the full lifecycle of rpodcut development, from concept to delivery, including Test Driven Development (TDD) Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack Experience working with technology business management, technology infrastructure or enterprise architecture teams a plus Experience with design and coding across one or more platforms and languages a plus Bachelor’s degree in computer science, data engineering, data analytics, or other technical discipline, or equivalent work experience preferred Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

1. Job Title: RAG-Based LLM Specialist / Full Stack Developer 2. Deployment Type: Onsite 3. Experience Requirement: Minimum 1 year and less than 3 years of relevant experience 4. Educational Qualification: Relevant Graduate Degree (e.g., BCA, B.Tech, B.Sc in CS/IT) OR any graduate with a diploma in computers 5. Certification Requirement: Relevant certifications in the field of software development, NLP, ML, or related technologies 6. Required Technical Expertise: Programming and Development Skills: Proficiency in .NET as a Full Stack Developer Strong knowledge of AI/ML development Proficiency in Python, C#, and Java Experience with JavaScript (JS) and React Web Development and Frameworks: Proficiency in ASP.NET MVC and J Query Experience with AngularJS and ExtJS Knowledge of HTML5/CSS Database and Integration: Proficiency in MySQL and PostGreSQL Experience in API integration GIS integration with database and migration experience (IGIST) Tools and Platforms: .NET Framework ASP.NET MVC 7. Key Responsibilities: Implementing and optimizing RAG-based LLM solutions for data retrieval and analysis Developing full stack applications with offline and low-bandwidth functionality Integrating advanced AI/ML features into solutions Creating algorithms for content matching, summarization, and generating reports Ensuring application compliance with data privacy and security protocols Integrating GIS services and supporting data migration efforts 8. Preferred Soft Skills: Problem-solving and analytical thinking Strong communication for effective teamwork Time management skills to meet project deadlines 9. Job Benefits: Opportunity to work on cutting-edge technology projects Collaborative environment with cross-functional teams 10. Application Details: Submit resume, relevant certifications, and portfolio of previous projects Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹600,000.00 - ₹900,000.00 per year Benefits: Flexible schedule Internet reimbursement Paid sick time Schedule: Fixed shift Education: Master's (Required) Experience: Overall : 3 years (Required) total work: 3 years (Required) Java: 3 years (Preferred) Work Location: In person Application Deadline: 08/06/2025

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

Software Engineering Lead Analyst ABOUT EVERNORTH: Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. Position Summary: You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for Sr AI Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role Job Description & Responsibilities : Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Strong technical skills in machine learning and AI, especially natural language processing, generative models like GPT-3, DALL-E, etc. Understanding how these models work is crucial. Solid delivery experience of at least one large scale solution leveraging Gen AI. Experience with large-scale cloud infrastructure and services like AWS, GCP, Azure. Knowing how to build and deploy AI solutions leveraging cloud services. Software engineering skills - Ability to build systems and infrastructure to deploy AI models into production applications and ensure effective integration. Knowledge of AI Responsibility principles like safety, transparency, fairness and accountability. Assessing and mitigating risks from generative AI. Architectural design ability - Design effective pipelines, processes, validation mechanisms for building enterprise-grade generative AI solutions. Understanding of various applications of generative AI like summarization, translation, conversational systems, retrieval augmented generation Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: 6 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects 2 years of experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience Desired: Experience with information storage/retrieval using vector databases. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field Primary Skills: Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Additional Skills: Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

AI Engineer – Generative AIJob Summary At EXL, we are developing solutions for some of the most exciting and challenging AI and NLP business problems. If you want to push the existing AI (NLP) knowledge boundaries, then we have an excellent opportunity for you. We are looking for AI Engineers who can develop and deploy state of the art, scalable, and optimized AI system particularly in Generative AI driven by Large Language Models. As an AI Engineer, you are expected to have keen interest in AI - NLP and Machine Learning and staying current with the latest developments in this rapidly changing field. Major duty is to develop and package Generative AI solutions for business problems using Large Language Models and related technologies like Vector DBs, Embedders, Memory, Prompt Managers, response managers etc. in-production. Job Responsibilities Analyze text-based data and apply data science techniques to extract meaningful insights. Design, develop and implement LLM based solutions for a wide range of use cases involving tasks like classification, extraction, summarization, conversation, search, generation etc. on unstructured text data. Create and maintain state of the art scalable AI solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP model based on business needs and available data Performing data exploration and innovative feature engineering Fine-tuning a variety of NLP models including LLMs Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB, vector DBs etc. Collaborate with Engineering team to deploy AI(NLP) solutions in production. Ability to package AI solution in APIs. Experience with developing and deploying AI systems on cloud like AWS or Azure Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions. Open to working across different domains – Insurance, Healthcare and Financial Services etc. Education & Qualifications Number of Years of Work Experience: 2-4 years Required Skills Experience (including graduate school) on training and deploying NLP models- LLMs and related technologies. Expertise in transformer-based state of the NLP techniques Experience with working on tools for generative AI development stack like lang chain, LlamaIndex, chroma etc. Applied experience of machine learning algorithms using Python/Java/ Scala Organized, self-motivated, disciplined and detail oriented. Production level coding experience in Python/Java is required. Ability to Stay up-to-date with the latest advancements in Generative AI and Large Language Models research Experience with one or more of deep learning framework, including Pytorch, Tensorflow, Caffe, MxNet Experience with using cloud technologies on AWS/ Microsoft Azure is a plus What We Offer EXL Digital offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class AI/ML and NLP consultants. You do not just spend your time performing data crunching, doing research and coding but develop yourself as a seasoned data science expert with applied industry knowledge. You can expect to learn many aspects of businesses that our clients engage in. We provide you an opportunity to work on a variety of use cases across different industries – Insurance, Healthcare, Banking Finance and many more Projects drive you to go beyond lab setup and make real impact on live use cases through production deployments You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth AI/ML and NLP requires different skill sets at different levels within the organization. At EXL Digital, we invest heavily in training you in all aspects including AI/ML/NLP and cloud tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Show more Show less

Contract Manager Essential Functions Perform organizational contract development and management Ensure contracts and proposals are properly entered into organizational database Ensure accuracy and appropriateness of contract text and attachments Review contractual performance of both parties to ensure compliance with terms Contribute in contract strategy meetings to identify issues and client requirements Develop standards for contracts Take ownership of project and run with them to completion Adhere to timelines and deliverables Identify, categorize, abstract and capture key information in the specified format Review different agreements for adherence to defined contract management position Administration of contract databases/repositories using contract management software or tools Participate in various domain & skill-enhancing trainings and development sessions Build and maintain effective relationships across various levels in different departments Participate in various trainings for overall professional development Ensure compliance with internal policies and procedures, external regulations and information security standards Skills Technical Skills Excellent understanding of contract management and good understanding of procurement concepts Strong analytical skills Excellent oral and writing skills Process Specific Skills Good exposure to contract management Experienced in drafting, summarization, synopsis creation, proof reading of documents Thorough understanding of contract terms and conditions from a meaning and implication standpoint Proficient in using desktop computer system, especially Microsoft Office package Soft skills (Desired) Proficient in legal knowledge and its application Eye for detail Proficient in English communication skills – written and spoken Expertise in MS Word, Excel, Power-point and good keyboarding speed Proficient in using the internet, web browsers, and search engines Experienced in creating process DTPs/SOPs Capable of working independently with least or no supervision Proficient in fostering a spirit of collaboration and team work Proficient in operational planning and process management Experienced in documentation and conformance with policies/compliances, including audit requirements Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less