895 Summarization Jobs - Page 10

Job Title: Senior Data Scientist – Data & Analytics How You Will Do It Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Job Title: Generative AI Engineer Job Overview: We are on the lookout for a creative and technically proficient Generative AI Engineer to join our team. This individual will be responsible for architecting and deploying innovative AI systems centered around large language models (LLMs). The role emphasizes hands-on development in areas like prompt engineering, model customization, and real-world implementation of generative AI capabilities. As part of the team, you will help design and build applications such as AI chat interfaces, intelligent content generators, summarization engines, and other tools that utilize state-of-the-art LLM technologies. Key Responsibilities: Build, train, and implement generative AI systems using models such as GPT, BERT, LLaMA, Claude, or similar. Adapt and fine-tune pre-trained foundation models to meet specific business needs and domains. Integrate generative AI into various products, including conversational agents, summarization tools, and AI content creators. Conduct exploratory research to remain updated on the latest advancements in LLMs, prompt optimization, and multi-modal AI technologies. Prepare and manage relevant datasets for model training, evaluation, and testing. Collaborate with teams from data science, engineering, and product development to ensure smooth integration of AI models into live systems. Monitor model behavior continuously and make improvements to ensure high accuracy, low latency, and consistent reliability. Apply responsible AI principles and set up feedback mechanisms to refine model output over time. Required Skills and Qualifications: A Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical discipline. Proven experience in applying LLMs and generative AI techniques in production environments. Strong programming skills in Python and familiarity with machine learning libraries such as PyTorch, TensorFlow, and Hugging Face Transformers. Solid grounding in NLP methods, including text generation, translation, summarization, and conversational AI. Hands-on experience with techniques like prompt tuning, LoRA, PEFT, and RLHF for fine-tuning models. Understanding of cloud-based deployment using platforms such as AWS, GCP, or Azure. Strong analytical and debugging skills, with attention to performance tuning and cost optimization. Knowledge of MLOps best practices, including model version control (e.g., MLflow, Git), and container technologies like Docker and Kubernetes is advantageous.

Job Title: Product Sales Executive – Signulu Company: Miti Sphere Solutions Pvt. Ltd. Location: Hyderabad (On-site) Experience: 2–3 Years in B2B product sales (Preferably SaaS/Fintech/eSign/BGV) About the Product – Signulu: Signulu is a powerful digital platform offering eSignature, Document Management System (DMS), Background Verification (BGV), Bulk Signer, and Tender Summarization tools – all under one integrated suite for enterprise-grade efficiency and compliance. Key Responsibilities: Identify, target, and acquire clients for Signulu across verticals (e.g. BFSI, HR, Legal, Government). Drive full sales lifecycle: lead generation, demo presentation, negotiations, closure. Build and manage a strong pipeline via inbound and outbound strategies. Collaborate with product and marketing teams to improve messaging and sales tools. Achieve monthly and quarterly revenue goals. Maintain CRM hygiene, reporting, and forecasting. Represent Signulu at webinars, conferences, and networking events. Requirements: 2–3 years of proven experience in B2B sales of SaaS, DMS, eSignature, or HR Tech. Strong communication, negotiation, and consultative selling skills. Familiarity with platforms like Signzy, Leegality, Zoho Sign, or similar is a plus. Knowledge of compliance-driven industries is a bonus. Ability to thrive in a fast-paced startup culture.

Position Overview: The Medical Data Analyst will be responsible for analysing, sorting, and summarising complex medical records. The ideal candidate will bring strong expertise in medical records analysis, with a keen eye for detail and proficiency in medical data management tools. This role involves working on Med-Legal and life insurance projects, requiring accuracy and compliance with regulations like HIPAA and GDPR. Key Responsibilities: Medical Records Analysis: Review, analyse, and summarise complex medical records and healthcare documentation. Identify key medical events, diagnoses, and treatments relevant to legal or insurance purposes. Data Accuracy and Quality Control: Ensure the accuracy and completeness of medical data by identifying inconsistencies, discrepancies, or missing information. Perform quality checks and audits to ensure high standards are met across all data handling processes. Data Management and Software Proficiency: Use data management software to handle, store, and organise medical records efficiently. Familiarity with tools designed for medical records handling, such as Cased rive or similar systems. Analytical and Critical Thinking: Apply critical thinking to interpret complex medical case histories and extract relevant data. Analyse and summarise medical cases with attention to key details, timelines, and case relevance. Reporting and Communication: Create detailed and concise reports that summarise medical data for internal teams and external clients. Communicate complex medical information in a clear and understandable format. Time Management and Deadline Adherence: Manage multiple projects simultaneously, meeting tight deadlines while ensuring high levels of accuracy. Maintain consistent communication regarding project status and delivery timelines. Experience in Quality Assurance: Conduct regular quality checks and audits to ensure that data accuracy and regulatory compliance are maintained. Implement corrective measures to address any identified issues in the data. Adaptability and Learning Agility: Quickly adapt to new software tools, processes, and changing project scopes. Engage in continuous learning to stay up to date with the latest medical, legal, and technological developments. Med-Legal and Life Insurance Experience: Apply experience from Med-Legal or life insurance projects, where the role of medical data is crucial for legal claims, settlements, or insurance adjudication. Regulatory Compliance Knowledge: Ensure all work complies with relevant healthcare privacy regulations (HIPAA and GDPR). Maintain strict confidentiality and security measures for handling sensitive medical data. Skills Required: Strong proficiency in medical records analysis and healthcare documentation. Exceptional attention to detail and commitment to accuracy. Proficiency in data management systems and software tools. Strong analytical and critical thinking skills. Excellent communication and reporting skills. Ability to work under tight deadlines without compromising quality. Experience in quality assurance, auditing, and implementing corrective measures. Ability to quickly adapt to new tools, processes, and workflows. Experience in Med-Legal or life insurance projects. In-depth knowledge of HIPAA/GDPR compliance and data privacy regulations. Education and Experience: A degree in healthcare, medical informatics, or a related field. Previous experience in medical data analysis, particularly in Med-Legal or insurance-based projects for at least 2 years. Benefits: Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF) and Health Insurance Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Employee Reward Program Role: Healthcare & Life Sciences - Other Industry Type: Legal Department: Healthcare & Life Sciences Employment Type: Full Time, Permanent Role Category: Healthcare & Life Sciences - OtherEducation UG: Any Graduate, B.Pharma in Any Specialization, BAMS in Any Specialization, BHMS in Any Specialization, B.Sc in Bio-Chemistry, Biology, Botany, Nursing, Zoology Key Skills: Medical records,US Healthcare,Medical Summarization,Medical Terminology Job Type: Full-time Pay: ₹30,000.00 - ₹34,000.00 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Kanyakumari, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Location: Kanyakumari, Tamil Nadu (Preferred) Work Location: In person

This is an WFO opportunity. Please do NOT apply if you are looking for a hybrid or WFH model. This is a Noida-based job. Please do NOT apply unless you are already in the NCR or actively looking to relocate to the NCR. We need a minimum of 2 years of experience. Do NOT apply unless you have a minimum of 2 years of hands-on experience in the job described in the JD below. Position : NLP & Generative AI Engineer Location : Noida Department : AI/ML Employment Type : Full-time About Gigaforce Gigaforce is a California-based InsurTech company delivering a next-generation, SaaS-based claims platform purpose-built for the Property and Casualty industry. Our blockchain-optimized solution integrates artificial intelligence (AI)-powered predictive models with deep domain expertise to streamline and accelerate subrogation and claims processing. Whether for insurers, recovery vendors, or other ecosystem participants, Gigaforce transforms the traditionally fragmented claims lifecycle into an intelligent, end-to-end digital experience. Recognized as one of the most promising emerging players in the insurance technology space, Gigaforce has already achieved significant milestones. We were a finalist for InsurtechNY, a leading platform accelerating innovation in the insurance industry, and twice named a Top 50 company by the TiE Silicon Valley community. Additionally, Plug and Play Tech Center, the worlds largest early-stage investor and innovation accelerator, selected Gigaforce to join its prestigious global accelerator headquartered in Sunnyvale, California. At the core of our platform is a commitment to cutting-edge innovation. We harness the power of technologies such as AI, Machine Learning, Robotic Process Automation, Blockchain, Big Data, and Cloud Computingleveraging modern languages and frameworks like Java, Kotlin, Angular, and Node.js. We are driven by a culture of curiosity, excellence, and inclusion. At Gigaforce, we hire top talent and provide an environment where every voice matters and every idea is valued. Our employees enjoy comprehensive medical benefits, equity participation, meal cards and generous paid time off. As an equal opportunity employer, we are proud to foster a diverse, equitable, and inclusive workplace that empowers all team members to thrive. Were seeking a NLP & Generative AI Engineers with 2-8 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques. If you have experience deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines, this is the role for you. Youll work in a high-impact role, leading the design, development, and deployment of innovative AI/ML solutions for insurance claims processing and beyond. In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making. You'll balance strategic vision with tactical execution to ensure we continue to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market. Key Responsibilities Build and deploy end-to-end NLP and GenAI-driven products focused on document understanding, summarization, classification, and retrieval. Design and implement models leveraging LLMs (e.g., GPT, T5, BERT) with capabilities like fine-tuning, instruction tuning, and prompt engineering. Work on scalable, cloud-based pipelines for training, serving, and monitoring models. Handle unstructured data from insurance-related documents such as claims, legal texts, and contracts. Collaborate cross-functionally with data scientists, ML engineers, product managers, and developers. Utilize and contribute to open-source tools and frameworks in the ML ecosystem. Deploy production-ready solutions using MLOps practices : Docker, Kubernetes, Airflow, MLflow, etc. Work on distributed/cloud systems (AWS, GCP, or Azure) with GPU-accelerated workflows. Evaluate and experiment with open-source LLMs and embeddings models (e.g., LangChain, Haystack, LlamaIndex, HuggingFace). Champion best practices in model validation, reproducibility, and responsible AI. Required Skills & Qualifications 2-8 years of experience as a Data Scientist, NLP Engineer, or ML Engineer. Strong grasp of traditional ML algorithms (SVMs, gradient boosting, etc.) and NLP fundamentals (word embeddings, topic modeling, text classification). Proven expertise in modern NLP & GenAI models, including : Transformer architectures (e.g., BERT, GPT, T5) Generative tasks : summarization, QA, chatbots, etc. Fine-tuning & prompt engineering for LLMs Experience with cloud platforms (especially AWS SageMaker, GCP, or Azure ML). Strong coding skills in Python, with libraries like Hugging Face, PyTorch, TensorFlow, Scikit-learn. Experience with open-source frameworks (LangChain, LlamaIndex, Haystack) preferred. Experience in document processing pipelines and understanding structured/unstructured insurance documents is a big plus. Familiar with MLOps tools such as MLflow, DVC, FastAPI, Docker, KubeFlow, Airflow. Familiarity with distributed computing and large-scale data processing (Spark, Hadoop, Databricks). Preferred Qualifications Experience deploying GenAI models in production environments. Contributions to open-source projects in ML/NLP/LLM space. Background in insurance, legal, or financial domain involving text-heavy workflows. Strong understanding of data privacy, ethical AI, and responsible model usage. (ref:hirist.tech)

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Full Stack Engineer, you will be responsible for developing and engineering the end-to-end features of a system. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions that enhance user experience and optimize backend processes. You will leverage new technologies to address complex business challenges while maintaining a cloud-first and agile approach, ensuring that the services provided to clients are continuously improved and aligned with their needs. Your role will require a balance of creativity and technical expertise to deliver high-quality software solutions that meet project requirements and client expectations. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement new features. - Conduct code reviews to ensure quality and adherence to best practices. "• Experience with Hugging Face Transformers, LangChain, OpenAI APIs • Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM • Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB • Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA) • Deep understanding of self-attention, positional embeddings, sequence modeling • Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings • Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc • Expertise in gradient descent, backpropagation, activation functions, loss functions • Experience with dimensionality reduction techniques for feature selection • Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling • Understanding of model serving techniques, including REST APIs and real-time inference" "• Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks. • Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability. • Implement custom tokenization techniques, text embedding models (Sentence-BERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations. • Apply prompt engineering and prompt tuning techniques to optimize model responses. • Work with LangChain and LLM orchestration frameworks to build AI-powered applications. • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB. • Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs." Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with JavaScript frameworks such as React or Angular. - Strong understanding of RESTful API design and development. - Familiarity with cloud platforms such as AWS or Azure. - Experience with database management systems like MySQL or PostgreSQL. "Must Have Skills: 1. Must have 5-7+ years of experience working as a Microsoft FED Angular. 2. Strong understanding of software development principles, design patterns, and best practices. 3. Develop, test, and maintain software applications using Angular and .NET. 4. Designing & developing user interfaces using angular best practices 5. Developing application code & unit tests in angular. 6. Experience in consuming Web API/ Rest API using Javascript. 7. Should have good troubleshooting and debugging skills Good to Have Skills: 1. Knowledge/Experience in Excel 2 Knowledge/Experience of Agile methodology and Sprint based project delivery Nice to Have Skills: 1. .Net Core 2. Agile Development Methodology 2. MySQL" "• Should be good team player. • Good Written & Verbal Communication skills • Good analytical and troubleshooting skills." Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required. Resource should be open to work in B Shift (Afternoon Shifts 12:30 to 10:30) during week days., 15 years full time education

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Types: Full-time, Permanent Pay: ₹480,000.00 - ₹1,000,000.00 per year Schedule: Day shift Monday to Friday Weekend availability Work Location: In person

About us: https://evgateway.com/ Job Summary: EvGateway is seeking a sharp and organized RFP & Government Bid Analyst to support our business development efforts by identifying and evaluating public-sector opportunities related to EV infrastructure. This role focuses on sourcing, reading, and breaking down government RFPs, RFIs, and RFQs to determine alignment with EvGateway's services and passing qualified opportunities to the proposal development team. Key Responsibilities: Opportunity Identification: Monitor public procurement portals (federal, state, municipal) for new EV charging-related bids and opportunities. Set up alerts and filters to track relevant RFPs across various platforms (e.g., SAM.gov, PlanetBids, BidNet, state portals). Bid Analysis & Summary: Review each RFP or bid document and extract key information such as scope of work, eligibility criteria, submission requirements, deadlines, and evaluation criteria. Summarize findings into digestible internal briefs or checklists for the proposal team. Flag any potential red flags or non-alignment with EvGateway's products/services. Internal Coordination: Communicate regularly with the sales, technical, and compliance teams to ensure RFPs are qualified before time is invested in response. Maintain a shared tracker or CRM of all bids under consideration with statuses and deadlines. Market & Policy Awareness: Stay informed on funding trends, federal/state EV infrastructure programs, and regulatory requirements that impact RFPs (e.g., NEVI, Buy America, ADA). Qualifications: 1–3 years of experience in government procurement analysis, grant/RFP tracking, or public sector sales support. Strong attention to detail and ability to interpret complex bid documents. Familiarity with public procurement processes and EV infrastructure funding is a plus. Excellent written communication and summarization skills. Proficiency in Excel, Google Sheets, and bid tracking tools or portals. Job Types: Part-time, Permanent Expected hours: 25 per week Benefits: Flexible schedule Health insurance Paid sick time Paid time off Provident Fund Schedule: Monday to Friday US shift Supplemental Pay: Commission pay Performance bonus Yearly bonus Work Location: In person

Job Title: AI/ML Developer Location: Remote - India Type: Full-Time The company is a global Elite ServiceNow partner, helping top enterprises solve complex challenges through digital transformation. With 3,000+ successful projects, it delivers cutting-edge GenAI, advisory, and managed services across industries. They have been recognised as the 2024 ServiceNow Worldwide Customer Workflow Partner of the Year. As an AI/ML Developer you will work on real-world AI applications, from building ML models to deploying NLP solutions and developing intelligent automation. You will design and deploy machine learning models for predictive analytics, classification, and clustering. Leverage LLMs for conversational AI, text generation, and summarization. Requirements: 3+ years of AI/ML development experience. Strong Python, SQL, and ML framework skills. Experience with LLMs. Experience with cloud platforms and NLP tools. Education: Bachelor's in Computer Science, AI/ML, Data Science, or related field. Join us, If you're passionate about AI and ready to work on impactful projects, apply now and help shape the future of enterprise AI.

AI Engineer Role Summary: We are seeking an AI Engineer with a strong background in Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), and agentic AI to join our growing team. You will focus on building robust, scalable AI solutions that harness Azure AI capabilities, with a strong emphasis on MLOps and LLM frameworks. You should have a passion for crafting high-quality, production-ready AI systems and a proven track record of delivering impactful solutions. Key Responsibilities: * Design & Develop: Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools. Develop and fine-tune LLMs for domain-specific tasks using popular frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or similar. Build agentic AI systems capable of autonomous reasoning and task execution. * NLP and Advanced Language Models: Work with Natural Language Processing pipelines, including text classification, summarization, entity extraction, and question answering. * MLOps & Azure Integration: Familiarity with CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities. Collaborate with DevOps team to ensure seamless integration of models into production systems. * Innovation & Scalability: Stay at the forefront of AI advancements, particularly in LLMs and Generative AI, to continuously enhance our AI solutions. Drive the adoption of best practices for scalable and secure AI system development on Azure. * Mentorship & Collaboration: Provide technical mentorship to junior engineers and contribute to knowledge-sharing within the team. Collaborate closely with cross-functional teams (Product, Engineering) to translate business requirements into technical solutions. Qualifications & Skills: * Experience: Minimum 4 years of experience in AI engineering, with a strong focus on Generative AI, LLMs, and NLP. Proven experience building and deploying AI models using Azure AI capabilities, including Azure OpenAI, Azure ML, and Azure Cognitive Services. Solid experience with LLM frameworks such as LangChain, LlamaIndex, Hugging Face, etc. Hands-on experience with MLOps pipelines and CI/CD practices. * Technical Skills: Proficiency in Python (including libraries like PyTorch, TensorFlow, and popular LLM frameworks). Strong understanding of LLM fine-tuning, prompt engineering, embedding models, and vector databases (e.g., Azure AI Search, Pinecone, Weaviate). Familiarity with containerization (Docker, Kubernetes) and cloud infrastructure, with a preference for Azure. * Soft Skills: Excellent problem-solving skills, with a focus on delivering production-ready solutions. Strong communication and collaboration abilities, with a knack for explaining complex AI concepts to non-technical stakeholders. PS:- This Opportunity is for Gurugram location only.

Key Responsibilities: Write and experiment with prompts for different use cases: writing, research, summarization, ideation, etc. Analyze AI outputs to identify strengths, weaknesses, and areas for improvement. Stay updated with trends in AI tools and prompt engineering techniques. Use AI tools to convert 2D product images into hyper-realistic product renders . Use AI tools to generate professional-quality videos from product images . Assist in creating prompt templates for internal use Key Skills & Qualifications: Required: Logical thinking, creativity, and attention to detail. Basic understanding of ChatGPT or similar AI tools. Interest in AI, NLP, computer vision, or generative media. Self-starter with a willingness to experiment and learn. Preferred (not mandatory): Familiarity with AI platforms like OpenAI (ChatGPT, DALL·E, Sora), Midjourney, RunwayML, or similar tools. Some experience with image or video editing software. Background in Computer Science, Design, Engineering, Linguistics, or related fields. What You'll Learn: How to work with AI models for real-world business use cases. How to use AI for photorealistic rendering and AI-generated videos. Evaluating and optimizing AI-generated content. Exposure to AI-driven product development, marketing, and content workflows. Time: 8.30 am to 5.30 pm Holidays: 2nd and 4th Saturday and all Sundays Location : Andheri East Job Types: Full-time, Internship Contract length: 1 month Pay: ₹6,000.00 - ₹8,000.00 per year Ability to commute/relocate: Mumbai Suburban, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Secondary(10th Pass) (Preferred) Work Location: In person Expected Start Date: 21/07/2025

We are seeking a meticulous Legal Operations Intern to handle day-to-day legal operations including NDA management, contract review, document abstraction, and redlining support for ongoing projects. Key Responsibilities • Review, negotiate, and manage Non-Disclosure Agreements (NDAs) • Perform contract abstraction and create executive summaries • Provide redlining support for various legal documents and agreements • Summarize complex legal documents for internal stakeholders • Assist in contract lifecycle management • Support ongoing projects with legal documentation review • Maintain contract databases and tracking systems • Coordinate with internal teams on legal requirements for projects Required Qualifications • Currently pursuing LLB or LLM degree (2nd year onwards preferred) • Strong contract review and negotiation skills • Experience with redlining and document markup • Excellent summarization and abstraction abilities • Proficiency in legal document management systems • Knowledge of commercial contracts and corporate law • Attention to detail and ability to work under tight deadlines • Proficiency in MS Office Suite and PDF editing tools Duration & Commitment • 3-6 months internship • Full-time commitment preferred for contract turnaround requirements • Immediate availability preferred for ongoing project support

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Types: Full-time, Permanent Pay: ₹480,000.00 - ₹1,000,000.00 per year Schedule: Day shift Monday to Friday Weekend availability Work Location: In person

Position: AI Tools & Automation Developer Company: Moksh Infotech Private Limited Location: Ahmedabad (Work from Office) Company Overview: Moksh Infotech is a rapidly growing IT services company based in Ahmedabad, specializing in digital transformation, AI-driven automation, enterprise integrations, and software development solutions. We empower businesses with modern AI technologies, automated workflows, and custom IT strategies to achieve high efficiency and innovation. Role Summary: We are looking for a highly skilled AI Tools & Automation Developer to design, build, and maintain AI-powered tools and automation workflows. The ideal candidate will work closely with cross-functional teams to identify automation opportunities and deploy solutions that enhance productivity, data handling, and system integrations. Key Responsibilities: Design, develop, and deploy AI-powered tools using platforms like OpenAI, Hugging Face, and LangChain to solve real-world problems such as content summarization, intelligent search, document analysis, and workflow optimization. Automate routine business operations by building workflows and bots using Python scripting, Selenium automation, and industry-standard tools like UIPath, Power Automate, Zapier, and Make (Integromat). Collaborate with various departments to understand process bottlenecks and recommend AI or automation-driven improvements tailored to team-specific requirements. Develop, test, and maintain REST APIs and webhook-based integrations to connect platforms such as CRMs, Gmail, Slack, internal dashboards, and third-party tools. Create intuitive front-end tools using frameworks like Streamlit, Flask, or React for internal stakeholders to interact with AI workflows, monitor outputs, and initiate automation tasks. Handle and analyze large datasets using Pandas and SQL for data cleaning, transformation, and processing prior to automation or AI analysis. Implement monitoring and logging mechanisms to ensure the stability, scalability, and accuracy of deployed automation workflows and AI tools. Document all created tools, scripts, workflows, and processes for easy maintenance, handover, and compliance. Continuously explore and test new APIs, tools, and LLMs to improve solution effectiveness and stay ahead of technological trends in AI and automation. Work closely with DevOps/IT teams when required to deploy tools on secure internal servers or cloud environments and ensure compliance with security protocols. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, IT, or related field. 1–3 years of relevant experience in automation development or AI tooling. Strong programming experience in Python (mandatory). Familiarity with automation tools (UIPath, Selenium, Power Automate, Zapier). API development and integration experience. Knowledge of AI/ML APIs (OpenAI, Hugging Face, etc.) and LLMs. Good understanding of data handling with Pandas, SQL, and Google Sheets scripting. Strong communication and documentation skills. Soft Skills: Problem-solving and analytical thinking. Quick learner with ability to adapt to new tools and platforms. Proactive and self-motivated attitude. Excellent collaboration and communication abilities. Interview Process: Resume + portfolio screening (GitHub, project demos, documentation). Technical assignment focused on automation or AI integration. In-depth technical interview covering past experience and tool knowledge. Managerial round assessing scalability, workflow logic, and ownership. HR round for salary discussion and culture fit.

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. · Job Title : Front End Developer · Location : Pan India · Experience : 4 to 8 years · Job Type : Contract to hire. · Work mode : Remote · Notice Period : Immediate joiners. JD: About the Role We’re seeking a skilled Front-End Developer with expertise in ASP.NET Core and Blazor to help build an AI-powered document processing and summarization platform. You'll develop responsive, userfriendly interfaces that interact with complex backend workflows, including OCR, LLMs, and cloud data pipelines (AWS & Azure). This is a great opportunity to work on cutting-edge solutions in collaboration with backend engineers, solution architects, and product teams. Key Responsibilities • Build dynamic UIs for document upload, processing status, and AI-generated outputs. • Implement drag-and-drop upload, validation, and error handling features. • Integrate front-end with RESTful APIs, AWS S3, and Azure Storage. • Ensure performance, responsiveness, and cross-browser compatibility. • Implement authentication, role-based access, and secure data handling. • Optimize Blazor components and support continuous product enhancements. Required Skills and Expertise: • Strong experience with ASP.NET Core, Blazor, C#, HTML/CSS, Bootstrap, Tailwind, and JavaScript/TypeScript. • Experience with file ingestion workflows and dashboards. • Familiarity with cloud storage (AWS S3 / Azure) and REST API integration. • Understanding of UX principles, accessibility, and clean design. • Experience with OCR or LLM-based applications is a plus. • Exposure to CI/CD pipelines and agile development. “Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

About Client: Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world. For additional information Job Title : UI Developer / Front-End Developer (ASP.NET Core & Blazor) Job Locations : Pan India Experience : 5+ Years. Education Qualification: Any Graduation. Work Mode : Hybrid Employment Type : Contract. Notice Period : Immediate - 15 Day.. Job Description: About the Role We’re seeking a skilled Front-End Developer with expertise in ASP.NET Core and Blazor to help build an AI-powered document processing and summarization platform. You'll develop responsive, userfriendly interfaces that interact with complex backend workflows, including OCR , LLMs , and cloud data pipelines ( AWS & Azure ). This is a great opportunity to work on cutting-edge solutions in collaboration with backend engineers, solution architects, and product teams. Key Responsibilities Build dynamic UIs for document upload, processing status, and AI-generated outputs. Implement drag-and-drop upload, validation, and error handling features. Integrate front-end with RESTful APIs, AWS S3, and Azure Storage. Ensure performance, responsiveness, and cross-browser compatibility. Implement authentication, role-based access, and secure data handling. Optimize Blazor components and support continuous product enhancements. Required Skills and Expertise: Strong experience with ASP.NET Core , Blazor , C# , HTML/CSS , Bootstrap , Tailwind , and JavaScript/TypeScript. Experience with file ingestion workflows and dashboards. Familiarity with cloud storage (AWS S3 / Azure) and REST API integration. Understanding of UX principles , accessibility, and clean design. Experience with OCR or LLM-based applications is a plus. Exposure to CI/CD pipelines and agile development. “ Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

About Company : Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. · Job Title : frontend developer · Location : remote · Experience : 4- 10 years · Job Type : Contract to hire. · Notice Period : Immediate joiners. Mandatory Skills : About the Role We’re seeking a skilled Front-End Developer with expertise in ASP.NET Core and Blazor to help build an AI-powered document processing and summarization platform. You'll develop responsive, user-friendly interfaces that interact with complex backend workflows, including OCR , LLMs , and cloud data pipelines ( AWS & Azure ). This is a great opportunity to work on cutting-edge solutions in collaboration with backend engineers, solution architects, and product teams. Key Responsibilities Build dynamic UIs for document upload, processing status, and AI-generated outputs. Implement drag-and-drop upload, validation, and error handling features. Integrate front-end with RESTful APIs, AWS S3, and Azure Storage. Ensure performance, responsiveness, and cross-browser compatibility. Implement authentication, role-based access, and secure data handling. Optimise Blazor components and support continuous product enhancements. Required Skills and Expertise: Strong experience with ASP.NET Core , Blazor , C# , HTML/CSS , Bootstrap , Tailwind , and JavaScript/TypeScript. Experience with file ingestion workflows and dashboards. Familiarity with cloud storage (AWS S3 / Azure) and REST API integration. Understanding of UX principles , accessibility, and clean design. Experience with OCR or LLM-based applications is a plus. Exposure to CI/CD pipelines and agile development.

About the Role We are seeking a highly skilled and hands-on AI/ML Lead with deep experience in training and fine-tuning Large Language Models (LLMs) such as LLaMA 3 using frameworks like vLLM. The ideal candidate will bring a strong background in machine learning and a practical understanding of the cybersecurity domain—especially around threat intelligence, vulnerabilities, exploits, and configuration analysis. You will lead the development and implementation of models that understand, process, and generate insights across a wide range of cybersecurity content. You will guide a team of ML engineers and collaborate closely with cybersecurity SMEs, data engineers, and DevOps to ensure delivery of scalable, performant, and security-aware AI systems. Key Responsibilities Lead the fine-tuning and domain adaptation of open-source LLMs (e.g., LLaMA 3) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques. Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files. Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs. Drive the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection). Own the lifecycle of model development including training, inference optimization, testing, and deployment. Provide technical leadership and mentorship to a team of ML engineers and researchers. Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection. Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data. Required Qualifications 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning. Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques. Proven experience working with cybersecurity data—ideally including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets. Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices. Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate. Demonstrated ability to lead projects and collaborate across interdisciplinary teams. Excellent problem-solving skills and strong written & verbal communication. Nice to Have Experience deploying models via vLLM in production environments with FastAPI or similar APIs. Knowledge of cloud-based ML training (AWS/GCP/Azure) and GPU infrastructure. Background in reverse engineering, malware analysis, red teaming, or threat hunting. Publications, open-source contributions, or technical blogs in the intersection of AI and cybersecurity. What We Offer Opportunity to work at the intersection of cutting-edge AI and cybersecurity. Collaborative and fast-paced environment. Access to state-of-the-art hardware and ML tooling. Support for research, conferences, and continuous learning.

Job Title - AI/Gen AI Full Stack Engineer Location : Bangalore, India (Preferred) / Remote Job Type : Full-Time About Futurepath AI Futurepath.ai is a leading AI platform startup growing at a fast pace, serving multiple Fortune 500 clients. Backed by prominent investors such as Village Global, we specialize in delivering cutting-edge AI solutions that empower businesses to tackle complex challenges and redefine possibilities. Join our innovative team and be a part of transforming industries with the power of AI and Generative AI technologies. Job Summary We are seeking a highly skilled and innovative AI/GenAI Engineer to join our team. In this critical role, you will focus on leveraging Large Language Models (LLMs) and Small Language Models (SLMs) to solve complex business challenges. Your expertise will drive the building of applications powered by these models, focusing on cost-efficiency, response quality, and latency for specific use cases. This role offers the opportunity to work at the forefront of AI technologies and contribute to the next phase of growth at Futurepath.ai. Responsibilities LLM and SLM Optimization : Design and develop scalable solutions using Large Language Models and Small Language Models for specific business use cases. Optimize LLM- and SLM-powered applications to balance cost, quality of response, and latency. Generative AI Full Stack Applications : Develop innovative applications leveraging generative AI techniques, including natural language generation, summarization, and content creation. Create tailored Small Language Models to address domain-specific challenges efficiently. Solve challenges related to ethical AI, bias mitigation, and explainability in generative AI solutions. Research and Development : Experiment with cutting-edge AI technologies and frameworks to enhance the functionality and efficiency of LLMs and SLMs. Stay updated on the latest advancements in generative AI and their practical applications. Contribute to the development of proprietary models and algorithms when necessary. Performance Monitoring and Continuous Improvement : Monitor and evaluate the performance of AI solutions, identifying areas for improvement. Implement iterative development cycles to refine and enhance the effectiveness of LLM and SLM applications. Requirements Education : Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. Experience : 3+ years of experience in Full Stack Development. Proven track record of deploying and building LLM-based and SLM-based applications in production environments. Technical Skills : Expertise in working with popular LLMs (e.g., OpenAI GPT, Anthropic, LLaMA) and using SLMs for specific use cases. Strong proficiency in Python. Familiarity with APIs and cloud platforms (AWS, Azure, GCP) for LLM and SLM integration. Familiarity with frontend development using ReactJS Problem-Solving Skills : Deep understanding of trade-offs between cost, quality of response, and latency in AI-powered applications. Ability to troubleshoot and resolve challenges related to scalability, efficiency, and performance in AI systems.| Soft Skills : Strong communication skills to explain complex AI concepts to technical and non-technical stakeholders. Collaborative mindset with the ability to work in cross-functional teams. Proactive and self-motivated with a passion for pushing the limits of AI technologies. What We Offer Competitive salary and equity options. Opportunity to work on cutting-edge AI and Generative AI technologies, including LLMs and SLMs. Flexible work environment with remote options. Professional growth opportunities in a high-impact, investor-backed startup. Collaborative and innovative work culture. How to Apply If you are ready to lead the charge in building innovative AI and generative AI applications and optimizing LLM/SLM-powered solutions, send your resume and a portfolio of relevant work to aditi@futurepath.ai. Please include a cover letter detailing your experience and how you envision contributing to Futurepath.ai’s mission.

Job Title: Network Engineer Location: Hybrid-Hyderabad/Mumbai/Pune/Bengaluru/Chennai About The Job The Network Engineer role focuses on managing hybrid cloud and on-premises network infrastructures. It requires advanced expertise in AWS VPC, routing protocols, firewalls (Checkpoint and Cisco ASA), Meraki Wi-Fi, Big-IP F5 LTM/APM appliances, and Single Sign-On (SSO) technologies. This role involves coordinating with department teams to build, manage, and optimize both cloud and on-premises network solutions to ensure scalability, security, and high performance. What you will do: AWS Cloud Network Architecture: Design, implement, and manage AWS VPC, including transitive VPC, Transit Gateway, Direct Connect, Virtual Private Gateway (VGW), VPN, IPSec, Security Groups, Network ACLs, and ASM for robust and secure cloud-based networking. Routing Protocols and Network Design: Configure and manage routing protocols such as OSPF, EIGRP, BGP, RIP, PBR (Policy-Based Routing), Route-Filtering, Redistribution, Summarization, and Multicast Routing to ensure optimized data flow within cloud and on-premises networks. Firewall Management: Manage and configure Checkpoint Firewalls for both cloud and on-premises environments, including policy management, traffic filtering, and security auditing. Implement AWS security best practices, including configuring security groups, NACLs, and AWS firewalls to enforce network security. AAA Architecture: Implement and manage AAA (Authentication, Authorization, and Accounting) services using RADIUS and TACACS for secure access control across network devices. Big-IP F5 LTM & APM Management: Configure and manage Big-IP F5 Local Traffic Manager (LTM) and Access Policy Management (APM) cloud edition appliances for load balancing, traffic management, and high availability of cloud-based applications. Network Protocols: Strong expertise in network protocols such as IP, TCP, UDP, ICMP, NAT, DNS, DHCP, SNMP, IPSec, SSL, HTTP, SSH, SIP, RTP, QoS, and AAA for robust network operations. Meraki Wi-Fi Deployment: Deploy and manage Meraki Wi-Fi solutions, configure 802.1x, EAP-PEAP for secure wireless authentication, and manage Meraki MS, MX, and MR devices for network access, security, and monitoring. Single Sign-On (SSO): Strong understanding and hands-on experience with Single Sign-On (SSO) architecture and protocols (e.g., SAML 2.0, OAuth 2.0, OpenID Connect). Implement and manage Okta for SSO integration across enterprise applications, ensuring seamless user authentication and access management. VPN & Secure Connectivity: Manage and optimize site-to-site VPNs and IPSec tunnels to securely connect cloud resources with on-premises infrastructures. Manage Cisco VPN solutions, ensuring reliable, secure connectivity between distributed networks. Network Monitoring & Troubleshooting: Monitor and troubleshoot network performance using AWS CloudWatch, Meraki Dashboard, SolarWinds OpManager and Wireshark to identify and resolve connectivity, performance, and security issues across the hybrid network environment. Network Vulnerability Mitigation: Identify , assess, and mitigate vulnerabilities in both cloud and on-premises networks to ensure security and compliance. Collaborate with security teams for penetration testing, risk assessments, and incident response. Audit/SIEM Solutions: Implement and manage IPS/IDS, Nessus, Anti-virus, and vulnerability management tools to monitor and respond to security incidents. Use SIEM tools for threat analysis, network monitoring, and compliance with security standards. Automation & Infrastructure as Code: Utilize Terraform, AWS CloudFormation, and other Infrastructure as Code ( IaC ) tools to automate the deployment of cloud and on-premises network resources, ensuring consistency and repeatability. Collaboration and Documentation: Collaborate with cross-functional teams to ensure network scalability, high availability, and disaster recovery. Maintain clear, comprehensive documentation for network configurations, security policies, troubleshooting guides, and architectural designs. Who You Are Education & Experience: Bachelor’s degree in computer science, Network Engineering, or a related field, or equivalent work experience. 5+ years of experience in AWS cloud networking, with a focus on VPC, Transit Gateway, Direct Connect, VGW, VPN configurations, and on-premises network switching and routing (Cisco, Meraki, etc.) . Technical Skills Strong experience with Checkpoint firewalls and Cisco ASA firewalls. Extensive knowledge and hands-on experience with routing protocols such as OSPF, EIGRP, BGP, RIP, and MPLS. In-depth experience with Meraki devices (MX, MS, MR), including Wi-Fi deployments, 802.1x, and EAP-PEAP. Experience with Big-IP F5 LTM/APM cloud edition for load balancing and application traffic management. Expertise in WAN technologies such as Ethernet, MPLS VPN, Frame Relay, T1/T3, and OC standards. Strong proficiency in networking protocols such as TCP/IP, DNS, DHCP, NAT, SNMP, SSL, HTTP, RTP, SIP, and QoS. Hands-on experience with AAA (RADIUS/TACACS) architecture and security protocols. Familiarity with WAN optimization technologies and best practices for optimizing network performance. Proficiency in VPN technologies (site-to-site and remote access) and secure network connectivity. Proficient in network vulnerability mitigation, including vulnerability assessment, patch management, and risk management. Strong experience with penetration testing, risk assessments, and incident response processes to identify and address security weaknesses in both cloud and on-premises environments. Experience with Audit/SIEM solutions (e.g., IPS/IDS, Nessus scanning, Anti-virus, vulnerability management) for real-time network monitoring and threat detection Cisco certifications such as CCNA, CCNP, or equivalent networking certifications are required AWS Certification (e.g., AWS Certified Advanced Networking – Specialty, AWS Certified Solutions Architect – Associate) is highly preferred. Soft Skills Able to assist non-technical users with technical issues and simplify complex concepts for both technical and non-technical stakeholders. Comfortable handling diverse tasks and adjusting priorities in a dynamic environment. English Language proficiency is required to effectively communicate in a professional environment. Excellent communication skills are a must . Strong problem-solving skills and a creative mindset to bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities 10-12 years of experience in Data Science, with about 15 years of total experience Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations Respond to AI related RFPs and business cases Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other Convert business problem into analytical problem and devise a solution approach Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 6+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. Retriever augmented generation and prompt engineering. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Overview: RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the PropTech domain. Our Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities. As part of our team, you’ll contribute to RealPage’s AI go-tomarket (GTM) strategy, creating cutting-edge solutions that empower our users and clients. We are seeking a Senior Full Stack AI Developer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will fine-tune pre-trained foundation models, apply promptengineering and RAG techniques, utilize Agentic frameworks, and work closely with design and product teams to create impactful AI solutions that support our business objectives and transform user experiences. Responsibilities: Agentic AI Engineering: Evaluate and utilize appropriate language models (e.g., GPT-4, LLaMA, Gemini, Claude) to develop AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics and copilots, agents, and beyond. Assess and utilize appropriate AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and Agentic frameworks based on project needs. Master Prompt Engineering: Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Tailor Full User Experience: Capable of writing code for UIs (React / Vue / Svelte etc) and integrations (REST, gRCP, MCP). Establish Evaluation Frameworks: Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Leadership and Mentorship: Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Stakeholder Communication: Translate complex needs into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Cross-Functional Collaboration: Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts, to create integrated Agentic AI experiences. Stay Current in AI Advancements: Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvement. Not being shy about doing PoCs and prototypes. Understand Business Needs: Cultivate a growth mindset, build an understanding of RealPage’s business processes, products, and challenges to better align AI solutions with organizational goals. Qualifications: Degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent industry experience. 5+ years in software engineering and/or Data Science, with at least 2 years in Generative AI, transformers, and large language models (LLMs). Strong proficiency in Python with modern Python tooling (e.g., Pydantic, FastAPI, asyncio), JavaScript, TypeScript and SQL, experience in writing production-grade code. Proficiency in prompt engineering to enhance model output reliability and quality. Familiarity with Vector embeddings, RAG architectures and Agentic frameworks for sophisticated generative AI applications. Expertise with cloud platforms for AI (AWS, GCP, Azure) and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD practices. Demonstrated ability to lead projects and mentor team members in Agile environments, driving collaboration and fostering team effectiveness. Exceptional communication skills to effectively convey complex technical subjects to both technical and non-technical stakeholders.