819 Llms Jobs - Page 26

We are seeking an experienced AI/ML Developer to design, develop, and deploy advanced machine learning, computer vision, and natural language processing (NLP) solutions. This role requires expertise in AI-driven development, automation, and deep learning to build scalable and efficient applications. Key Responsibilities: 1. Design, develop, and implement AI/ML models for real-world applications. 2. Work with computer vision technologies using OpenCV and Tesseract for image processing and OCR tasks. 3. Develop and optimize NLP models for text analysis, sentiment detection, and chatbot applications. 4. Implement Agentic AI solutions to create adaptive and autonomous AI-driven systems. 5. Utilize TensorFlow to build and fine-tune deep learning models. 6. Optimize model performance, accuracy, and scalability for production environments. 7. Integrate AI/ML solutions with web and mobile applications. 8. Process, clean, and analyze large datasets for training and validation. 9. Collaborate with cross-functional teams to align AI solutions with business objectives. 10. Stay updated with emerging advancements in AI, ML, and deep learning. Required Skills & Expertise: 1. Python Proficiency Strong programming skills in Python for AI/ML applications. 2. Computer Vision & OCR Hands-on experience with OpenCV and Tesseract. 3. NLP & Text Processing – Expertise in Natural Language Processing techniques. 4. Deep Learning – Experience with TensorFlow, model training, and neural networks. 5. Agentic AI – Understanding of AI agents, autonomous decision-making, and self-learning models. 6. Data Preprocessing & Augmentation – Ability to clean and preprocess large datasets. 7. Optimization & Deployment – Experience with model fine-tuning, GPU acceleration, and cloud deployment. 8. Version Control & CI/CD – Familiarity with Git, MLOps, and deployment pipelines. Preferred Skills: Experience with PyTorch, Hugging Face, LangChain, Reinforcement Learning, and Edge AI . Knowledge of LLMs (Large Language Models) and Generative AI .

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director and be responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. Leveraging natural language processing (NLP), large language models (LLMs), and cloud-based AI tools, you will create chatbots to enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling, fine-tune GPT-based models, and integrate them with business applications. Additionally, you will optimize chatbot performance, deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, and integrate chatbots with databases, APIs, and enterprise applications such as Dynamics 365, Microsoft Teams, or custom apps. Ensuring chatbot security, compliance, and scalability in Azure cloud environments and monitoring chatbot analytics using Azure Monitor, Application Insights, and Power BI will also be part of your responsibilities. To be successful in this role, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP, proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,

The Spec Analytics Intmd Analyst role is a developing professional position where you will independently handle most problems and have the freedom to solve complex issues. You will utilize your in-depth specialty knowledge along with industry standards to integrate with the team and achieve sub-function/job family objectives. Your role will involve applying analytical thinking and data analysis tools to make judgments and recommendations based on factual information with attention to detail. You will be dealing with variable issues that could have broader business impacts and will have a direct influence on the core activities of the business through close contact. Your communication and diplomacy skills will be crucial to exchange potentially complex information effectively. Responsibilities: - Working with large and complex data sets to evaluate, recommend, and support business strategies - Identifying and compiling data sets using tools like SQL and Access to predict, improve, and measure business outcomes - Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis - Specializing in marketing, risk, digital, and AML fields - Assessing risk in business decisions with consideration for the firm's reputation and compliance with laws and regulations Skills and Experience: As a successful candidate, you should ideally have: - 5+ years of experience in data science, machine learning, or related fields - Advanced process management skills, detail-oriented, and organized - Curiosity and willingness to learn new skill sets, particularly in artificial intelligence - Strong programming skills in Python and proficiency in data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, data visualization tools, and GenAI solutions - Familiarity with agentic AI frameworks and MLOps Education: - Bachelors/University degree or equivalent experience This job description provides an overview of the work performed, and additional duties may be assigned as needed.,

About Us: At Calfus, we are recognized for our expertise in delivering cutting-edge AI agents and products that revolutionize businesses in unprecedented ways. We empower companies to fully leverage the potential of AI, enabling them to unlock opportunities that were previously unattainable before the AI era. Our software engineering teams are highly esteemed by customers, ranging from start-ups to established enterprises, due to our consistent delivery of solutions that fuel revenue growth. Our ERP solution teams have effectively implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, thereby reducing manual work and allowing teams to concentrate on high-impact tasks. This remarkable progress is made possible by talents like you! Our global teams thrive on collaboration, and we are actively seeking skilled professionals to enhance our in-house expertise and assist us in providing exceptional AI, software engineering, and solutions using enterprise applications. As one of the fastest-growing companies in our industry, we take pride in nurturing a culture of innovation where new ideas are always embraced without hesitation. We are driven and anticipate the same level of commitment from our team members. Our speed, agility, and dedication distinguish us, and we excel when surrounded by high-energy, motivated individuals. To sustain our rapid expansion and make an even greater impact, we invite you to consider applying for our open positions and joining us on our journey! About the Role: We are seeking a Senior Full-Stack Engineer with substantial experience in Python-based development and a genuine passion for constructing scalable, cloud-native applications. In this role, you will be involved in various aspects of the stack, from designing backend services in Python to creating responsive front-ends, while also exploring opportunities to integrate Generative AI (GenAI) technologies. Whether you possess prior experience with GenAI or are eager to delve into it, this role presents an exciting opportunity to contribute to cutting-edge products and solutions. What You'll Do: - Full-Stack Development: Design, construct, and sustain robust, scalable web applications utilizing Python (Flask, Django, FastAPI) for the backend and modern frontend frameworks like React, Angular, or Vue.js. - GenAI Exploration & Integration: Collaborate with AI teams to integrate or explore LLMs and generative AI capabilities (e.g., GPT-4, transformers, RAG pipelines) into products. Prior experience is valued; openness to learning is essential. - Architect Scalable Systems: Contribute to architectural decisions to ensure systems are secure, maintainable, and cloud-native. - Cloud Engineering: Deploy, monitor, and optimize applications using AWS, GCP, or Azure, with a focus on performance and reliability. - Collaboration & Mentorship: Engage closely with product managers, designers, and fellow engineers. Mentor junior developers and support peer growth. - Agile Practices: Participate in code reviews, uphold high-quality code standards, and contribute to continuous improvement. - Innovate & Learn: Stay abreast of emerging trends in full-stack development, cloud services, and AI technologies, introducing fresh ideas to the team. On your first day, we'll expect you to have: - Education: Bachelor's or Master's in Computer Science, Engineering, or a related field. - Experience: 5-8 years of hands-on experience in full-stack software development, with a strong backend expertise in Python. - Tech Stack Proficiency: - Backend: Python with Django, Flask, or FastAPI - Frontend: React, Angular, or Vue.js - Cloud: AWS, GCP, or Azure (deployment, monitoring, optimization) - AI Exposure: Experience or interest in LLMs, transformers, or GenAI tools (e.g., OpenAI APIs). Willingness to learn and apply AI concepts in production systems. - Strong Engineering Practices: Clean code, CI/CD, unit testing, version control (Git), and agile development. - Team Player: Comfortable collaborating in cross-functional teams and mentoring junior engineers. - Bonus: Previous experience in building or integrating GenAI models or collaborating with AI/ML teams. If you are a proficient full-stack Python developer who is enthusiastic about the future of Generative AI, even if you are still in the learning phase, this role is tailored for you. Benefits: At Calfus, we highly value our employees and provide a comprehensive benefits package. This includes medical, group, and parental insurance, along with gratuity and provident fund options. Additionally, we prioritize employee wellness and offer birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer. We strongly believe that diversity fosters innovation. We are dedicated to establishing an inclusive workplace where everyone, regardless of background, identity, or experience, has the opportunity to thrive. We welcome all applicants!,

The Vivriti Group is a leading player in the mid-market lending sector, providing tailored debt solutions to mid-sized enterprises. The group comprises two primary businesses: Vivriti Capital Limited: This is a systematically important Non-Banking Financial Company (NBFC ND-SI) that is regulated by the Reserve Bank of India (RBI). Vivriti Capital has successfully disbursed over USD 3 billion to more than 300 enterprise borrowers and boasts a CRISIL rating of A+. Vivriti Asset Management: This segment operates as a fixed-income fund manager, overseeing multiple Alternative Investment Funds (AIFs). With commitments exceeding USD 550 million from over 900 institutional and private contributors, Vivriti AMC has invested upwards of USD 600 million across 90 entities. In the role of Manager - AI Product, based in Chennai or Bangalore, you will be responsible for the complete lifecycle management of AI/ML products geared towards wholesale lending. This includes overseeing ideation, strategy formulation, development, launch, and ongoing iteration. Your key collaborators will include data scientists, engineers, designers, credit, risk personnel, and other business stakeholders to ensure that our AI initiatives align with user requirements and business objectives. Your primary responsibilities will include defining and executing the AI product roadmap in partnership with leadership and cross-functional teams, converting business challenges into precise AI/ML product requirements, collaborating with data experts and engineers to establish success metrics and model evaluation frameworks, prioritizing product enhancements based on user feedback, data insights, and business impact, ensuring model performance, explainability, fairness, and compliance with ethical guidelines, driving experimentation and iteration for continuous enhancement, acting as a bridge between engineering, data science, design, and stakeholders to secure timely and high-quality delivery, and keeping abreast of emerging AI trends, technologies, and industry best practices. You will also be tasked with championing a user-centric design approach in collaboration with UX/UI designers to craft intuitive, efficient, and engaging user experiences for complex financial workflows. Additionally, you will define key performance indicators (KPIs) for product success and provide regular performance updates to stakeholders. As for requirements, the ideal candidate should possess up to 3 years of product management experience, particularly with AI/ML-based products, a fundamental grasp of machine learning concepts, model lifecycle, and data infrastructure, a track record of translating intricate technical requirements into scalable product solutions, familiarity with MLOps, model evaluation metrics, and deployment pipelines, exceptional communication and stakeholder management abilities, and experience with agile product development and related tools such as Jira, Confluence, Figma, and GitHub. Desired but not mandatory qualifications include hands-on experience with data analysis tools like SQL, Python, Jupyter, exposure to LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems, a background in computer science, engineering, data science, or related fields, and prior exposure to startup or high-growth environments.,

The project duration for this role is 6 months with a monthly rate of 1.60 Lac. The ideal candidate should possess 4-7 years of experience and the work location is in Bangalore with a Hybrid setup. Key Responsibilities: - Demonstrated strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related Gen AI technologies. - Proficiency in working with Azure Databricks. - Ability to showcase strong analytical skills, problem-solving capabilities, and effective stakeholder communication. - A solid understanding of data governance frameworks, compliance requirements, and internal controls. - Hands-on experience in data quality rule development, profiling, and implementation. - Familiarity with Azure Data Services such as Data Lake, Synapse, and Blob Storage. Preferred Qualifications: - Previous experience in supporting AI/ML pipelines, particularly with GenAI or LLM based models. - Proficiency in Python, PySpark, SQL, and knowledge of Delta Lake architecture. - Hands-on experience with Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics. - Prior experience in data engineering, with a strong expertise in Databricks.,

As an AI Engineer - Enterprise Search, you will be responsible for leading the development and optimization of our multi-tenant enterprise search solution. Your primary focus will be on creating scalable systems that seamlessly integrate with customer environments, utilizing advanced AI and ML technologies. You will play a key role in designing and managing the enterprise knowledge graph, implementing personalized search experiences, and driving AI-powered innovations to enhance search relevance and ITSM workflows. Your responsibilities will include: - Building and structuring our enterprise knowledge graph to effectively organize content, people, and activities, thereby improving search relevance. - Developing and refining personalized ranking models that can adapt to user behavior and continuously enhance search results. - Designing strategies to customize AI language models based on each customer's data to ensure accuracy and context. - Exploring innovative approaches to combine Large Language Models (LLMs) with search engines to provide solutions for complex queries. - Writing clean, robust, and maintainable code that seamlessly integrates with multi-tenant systems. - Collaborating with cross-functional teams to align search capabilities with ITSM workflows. - Mentoring junior engineers and leveraging the expertise of experienced members to grow as a technical leader. To be successful in this role, you should possess: - 3-5 years of experience working on enterprise search products with AI/ML integration. - Expertise in multi-tenant systems and secure integration with external customer systems. - Hands-on experience with search platforms such as Elasticsearch, Solr, or similar tools. - Strong coding skills in Python, Java, or equivalent programming languages. - A strong passion for solving complex problems using AI and a commitment to delivering user-friendly experiences.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

As a part of our team at Raven, a YC-backed startup specializing in building AI assistants for manufacturing plants, you will play a crucial role in leveraging decades of manufacturing expertise to tackle real operational challenges through AI solutions. Based in Bangalore, our small yet dedicated team is committed to enhancing industrial operations to be safer, smarter, and more efficient. In this core technical position, your primary focus will be on developing AI-native applications and agents tailored for manufacturing workflows. Specifically, you will be responsible for: - Building Python/Go backend services that seamlessly integrate with AI systems. - Enhancing multi-modal pipeline infrastructure to manage P&IDs, SOPs, sensor data, and technical documents effectively. - Constructing agent memory systems utilizing knowledge graphs and event timelines. - Designing AI orchestration layers to facilitate decision-making workflows based on structured/unstructured plant data. - Conducting rapid prototyping of new AI workflows and deploying them in real-world plant settings. We are seeking individuals with at least 2-4 years of experience in building production systems, possessing strong Python/Go skills, familiarity with LLMs, embeddings, and vector stores. The ideal candidate should have a proactive approach to problem-solving, a keen interest in taking ownership of end-to-end solutions, and the ability to thrive in dynamic environments by iterating quickly and delivering tangible value. Moreover, a background in working at startups and the ability to adapt to various roles will be considered a bonus. By joining our team, you will have the opportunity to contribute to the development of core systems that empower plant teams to make informed decisions swiftly and safely. We offer a chance to shape the product, culture, and direction of the company as one of the initial hires, with a stake in the company through equity. You will be part of a collaborative environment that encourages fast iteration and in-person collaboration, focusing on addressing meaningful problems that have a direct impact on safety and efficiency in real-world scenarios.,

At PwC, as a member of the data and analytics engineering team, you will be responsible for leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, facilitating informed decision-making, and driving business growth. As a data science and machine learning engineer at PwC, you will focus on utilizing advanced analytics and machine learning techniques to extract insights from vast datasets, enabling data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to address complex business challenges. You will be joining PwC as an Associate with a minimum of 1.8 to 3 years of experience. PwC is dedicated to helping organizations and individuals create the value they are seeking by delivering quality Assurance, Tax, and Advisory services. Working at PwC will provide you with opportunities to apply your skills beyond the workplace, contributing to groundbreaking solutions for clients and communities. PwC Acceleration Centers in India serve as diverse, global talent hubs that focus on delivering value to clients by providing virtual client engagement support across all PwC services and capabilities worldwide. Your role will entail the following responsibilities: - Building analytics products/accelerators using various big data technologies and analytics tools as required by stakeholders, while creating robust documentation of solutions, design decisions, and operating procedures. - Working with large-scale datasets and driving the analytics path to align with project objectives, developing and executing analytical modules on PwC's big data platform. - Engaging effectively with internal and external stakeholders to understand requirements and translate them into analytical solutions. - Meeting tight deadlines, managing multiple priorities, working independently, and navigating through ambiguous requirements. - Managing the continuous improvement of data science and machine learning practices by following industry best practices. - Staying updated on new AI research and experimenting with code. - Working in sprint cycles to develop proof-of-concepts and prototype models for demonstration to data scientists, internal stakeholders, and clients. - Understanding and implementing ETL pipelines, data ingestion, and transformation to populate data models. - Communicating clearly, asking relevant questions, and driving conversations. - Bringing new perspectives to different analytical solutions. The key skills required for this role include: - Strong Analytical Thinking skills with the ability to creatively solve business problems. - Hands-on skills in Python. - Excellent communication skills. - Self-driven and results-oriented. - Knowledge of using LLMs, Prompt Engineering for efficient work. Desired skills for the role include experience in Pyspark, ML frameworks, and PowerBI.,

As a Senior QA Engineer at our company, you will be leading quality assurance for Generative AI (GenAI) solutions within our Digital Twin platform. Your role will involve focusing on the evaluation, reliability, and guardrails of AI-powered systems in production, going beyond traditional QA practices. Your responsibilities will include designing and implementing end-to-end QA strategies for applications using Node.js integrated with LLMs, RAG, and Agentic AI workflows. You will establish benchmarks and quality metrics for GenAI components, develop evaluation datasheets for LLM behavior validation, and conduct data quality testing for RAG databases. Additionally, you will perform A/B testing, define testing methodologies, collaborate with developers and AI engineers, build QA automation, and lead internal capability development by mentoring QA peers on GenAI testing practices. To be successful in this role, you should have at least 6 years of experience in software quality assurance, with a minimum of 3 years of experience in GenAI or LLM-based systems. You should possess a deep understanding of GenAI quality dimensions, experience in creating and maintaining LLM evaluation datasets, and familiarity with testing retrieval pipelines and RAG architectures. Preferred skills include experience with GenAI tools/platforms, exposure to evaluating LLMs in production settings, familiarity with prompt tuning and few-shot learning in LLMs, and basic scripting knowledge in Python, JavaScript, or TypeScript. If you are a passionate and forward-thinking QA Engineer with a structured QA discipline, hands-on experience in GenAI systems, and a strong sense of ownership, we encourage you to apply for this high-impact role within our innovative team.,

Were Hiring! AI/ML Intern. Are you passionate about artificial intelligence and looking to kickstart your career in machine learning? Join EICE as an AI/ML Intern and get hands-on experience working on real-world challenges in machine learning, generative AI, and advanced domains like LLMs, GenAI, and retrieval-augmented generation (RAG/REAG). What youll work on: 1. Intelligent system development 2. Generative AI & data-driven solutions 3. Data preprocessing, model development & deployment 4. Cutting-edge projects using advanced AI technologies Internship Mode : onsite

Roles and Responsibilities Lead a team of AI developers to design, develop, and deploy large language models (LLM) solutions using OpenAI's RAGBank. Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications for LLM development. Develop and maintain high-quality codebase for deployed LLM models, ensuring scalability, reliability, and performance. Participate in code reviews to ensure adherence to coding standards and best practices. Provide guidance on data preprocessing techniques for text data ingestion from various sources. Desired Candidate Profile 5-10 years of experience in developing AI/ML applications with expertise in LLMs. Strong understanding of OpenAI's RAGBank architecture and its application in natural language processing tasks. Proficiency in programming languages such as Python or similar technologies; knowledge of TensorFlow or PyTorch is an added advantage.

Lead and scale Django backend features, mentor 2 juniors, manage deployments, and ensure best practices. Expert in Django, PostgreSQL, Celery, Redis, Docker, CI/CD, and vector DBs. Own architecture, code quality, and production stability.

What You ll Bring Education: Bachelors degree in Computer Science, Engineeringor a related field froma top university (IIT, or similar abroad). MBA (from top university, IIM or similar abroad) is strongly preferred. Experience: 5+ years of experience in product management, with experiencemanaging end customer products withAI and/or related technologies. Technical Proficiency: Strong understanding of AI technologies, including LLMs, machine learning, natural language processing, computer vision, and data analytics. Leadership Skills: Proven ability to lead and inspire cross-functional teams, manage complex projects, and drive strategic initiatives. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to leverage data to inform product decisions. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Customer Focus: Deep commitment to understanding and meeting customer needs, with a track record of delivering successful products. Innovation Mindset: Passion for innovation and staying ahead of industry trends and technological advancements.

As a Fullstack Engineer at our company, you will be an integral part of developing a new AI-driven product right from its inception. Your passion for innovation, prototyping, and product development will be key in shaping the technical direction and architecture of the product. This hands-on role will also involve mentoring and managing junior Engineers as the team expands. Your primary responsibilities will include designing, building, and iterating on Proof of Concepts for new AI-powered features, leading the development of scalable web applications from frontend to backend, integrating APIs and machine learning models in collaboration with product and AI/ML teams, and making strategic decisions regarding architecture, tooling, and infrastructure. You will also be responsible for deploying, monitoring, and maintaining applications in production environments, defining coding standards, documentation practices, and development workflows, and overseeing the full Software Development Life Cycle. To excel in this role, you should possess strong experience in fullstack development, a proven track record of building and deploying web applications, and familiarity with AI/ML product POCs, model integration, and API-based ML services. A solid understanding of RESTful APIs, JSON, and modern frontend frameworks such as React, Angular, or Vue is essential, along with proficiency in frontend and backend technologies, DevOps practices, and the ability to prototype and iterate quickly in a fast-paced environment. Strong problem-solving skills, a startup mindset, and leadership experience or potential to mentor and manage a small team will be valuable assets. Additionally, experience with MLOps or ML model lifecycle, familiarity with LLMs, vector databases, or AI service platforms like OpenAI, HuggingFace, Pinecone, exposure to data engineering and pipeline design, and previous involvement in startup or product development initiatives will be beneficial. Joining our team will offer you the opportunity to be a founding engineer on a product with exciting potential, work at the cutting edge of AI, product innovation, and software engineering, and contribute to building and shaping the tech stack, processes, and team culture right from the start.,

You are a talented and passionate RAG (Retrieval-Augmented Generation) Engineer with strong Python development skills, joining our AI/ML team in Bengaluru, India. Your role involves working on cutting-edge NLP solutions that integrate information retrieval techniques with large language models (LLMs). The ideal candidate will have experience with vector databases, LLM frameworks, and Python-based backend development. In this position, your responsibilities will include designing and implementing RAG pipelines that combine retrieval mechanisms with language models, developing efficient and scalable Python code for LLM-based applications, integrating with vector databases like Pinecone, FAISS, Weaviate, and more. You will fine-tune and evaluate the performance of LLMs using various prompt engineering and retrieval strategies, collaborating with ML engineers, data scientists, and product teams to deliver high-quality AI-powered features. Additionally, you will optimize system performance and ensure the reliability of RAG-based applications. To excel in this role, you must possess a strong proficiency in Python and experience in building backend services/APIs, along with a solid understanding of NLP concepts, information retrieval, and LLMs. Hands-on experience with at least one vector database, familiarity with Hugging Face Transformers, LangChain, LLM APIs, and experience in prompt engineering, document chunking, and embedding techniques are essential. Good knowledge of working with REST APIs, JSON, and data pipelines is required. Preferred qualifications for this position include a Bachelors or Masters degree in Computer Science, Data Science, or a related field, experience with cloud platforms like AWS, GCP, or Azure, exposure to tools like Docker, FastAPI, or Flask, and an understanding of data security and privacy in AI applications.,

This is a full-time position with D Square Consulting Services Pvt Ltd based in Bangalore and requires 6-8 years of experience. The work mode for this role is Onsite and the candidate who can join within 15 days may only apply. As an AI/ML Engineer, you will be responsible for leading the end-to-end design, development, and deployment of advanced AI/ML solutions for digital marketing and analytics. Your role will involve driving innovation, leveraging cutting-edge techniques, and standardizing multi-cloud model deployment through collaboration to deliver profound data insights. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with an emphasis on quantitative methods. Additionally, you should possess 6-7 years of experience in software engineering with expertise in the full lifecycle of ML model development, deployment, and operationalization. Your ability to write robust, efficient, and scalable Python, Java, Spark, and SQL code following industry best practices is crucial. You should have extensive experience with major ML frameworks such as TensorFlow, PyTorch, Scikit-learn, advanced deep learning libraries, and strong knowledge of diverse ML algorithms. Experience in deploying and managing AI/ML models on major cloud platforms like Azure, AWS, GCP is required. Experience with LLMs and generative AI is highly desirable. In this role, you will lead cross-functional teams to deliver and scale complex AI/ML solutions, architect, design, develop, train, and evaluate high-performance AI/ML models. You will drive implementation, deployment, and maintenance of AI/ML solutions, oversee data exploration, preprocessing, feature engineering, and data pipeline development. Furthermore, you will establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models, collaborate with senior stakeholders to translate business requirements into scalable AI solutions, and champion the adoption of the latest AI/ML technologies and best practices. Your problem-solving skills, communication abilities, and experience in classification, time series forecasting, customer lifetime value models, LLMs, and generative AI from Retail, eCommerce, or CPG industry will be beneficial in this role. Join us in fostering innovative thinking and continuous improvement in AI/ML technologies to maximize business value.,

The project is expected to last for 6 months with a monthly rate of 1.60 Lac. The ideal candidate should have 4-7 years of experience and the work location will be in Bangalore with hybrid working options available. As a candidate, you are required to have a strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related Gen AI technologies. Additionally, you should have proficiency with Azure Databricks and possess strong analytical, problem-solving, and stakeholder communication skills. A solid understanding of data governance frameworks, compliance, and internal controls is essential. Your experience should include data quality rule development, profiling, and implementation, as well as familiarity with Azure Data Services such as Data Lake, Synapse, and Blob Storage. Preferred qualifications for this role include experience in supporting AI/ML pipelines, particularly with GenAI or LLM based models. Proficiency in Python, PySpark, SQL, and Delta Lake architecture is desired, along with hands-on experience in Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics. A background in data engineering with a strong expertise in Databricks would be beneficial for this position.,

You are looking for a visionary Data Science Manager with expertise in Generative AI and Retrieval-Augmented Generation (RAG) to lead AI initiatives from both technical and business perspectives. In this role, you will lead a team of data scientists and ML engineers, design Generative AI models, develop statistical models, and integrate knowledge retrieval systems to enhance performance. Your responsibilities will include mentoring the team, designing scalable AI/ML solutions, implementing Generative AI models, and developing statistical models for forecasting and segmentation. You will also be responsible for integrating databases and retrieval systems, ensuring operational excellence in MLOps, and collaborating with various teams to identify high-impact use cases for GenAI. To qualify for this role, you should have a Masters in Computer Science or related fields, 10+ years of data science experience with 2+ years in GenAI initiatives, proficiency in Python and key libraries, and a strong foundation in statistical analysis and predictive modeling. Experience in cloud platforms, vector databases, and MLOps is essential, along with a background in sectors like legal tech, fintech, retail, or health tech. If you have a proven track record in building and deploying LLMs, RAG systems, and search solutions, along with a knack for influencing product roadmaps and executive strategy, this role is perfect for you. Your ability to translate complex AI concepts into actionable strategies and present findings to non-technical audiences will be crucial in driving AI/ML adoption and contributing to the company's innovation roadmap.,

The company Raven, a YC-backed startup (S22), is dedicated to developing AI assistants for manufacturing plants by leveraging decades of manufacturing expertise combined with AI technology to address operational challenges. With strong support from top VCs, the team in Bangalore focuses on enhancing industrial operations to promote safety, intelligence, and efficiency within challenging work environments. As a part of the team, your key responsibilities will revolve around the core technical aspect of constructing AI-native applications and agents tailored for manufacturing workflows. Your tasks will include: - Building Python/Go backend services that seamlessly integrate with AI systems. - Enhancing multi-modal pipeline infrastructure to manage P&IDs, SOPs, sensor data, and technical documents effectively. - Developing agent memory systems utilizing knowledge graphs and event timelines. - Designing AI orchestration layers to facilitate decision-making workflows based on structured/unstructured plant data. - Rapid prototyping of new AI workflows and deploying them in real-world plant settings. The ideal candidate for this role should possess: - 2+ years of experience in constructing production systems. - Proficiency in Python/Go programming, with familiarity in LLMs, embeddings, and vector storage. - A keen interest in problem-solving and a proactive approach towards finding solutions. - A deep commitment to problem ownership throughout the entire process, from exploring potential solutions to implementing functional systems in production. - Comfort in handling ambiguity, adapting quickly, and delivering tangible value. A bonus would be past experience working in a startup environment and a willingness to take on various responsibilities. Joining Raven means being part of a team dedicated to developing fundamental systems that empower plant teams to make quicker and safer decisions. The role offers: - Impact: As one of the initial hires, you will play a pivotal role in shaping the product, culture, and trajectory of the company. - Ownership: You will be granted 0.1-1% equity, emphasizing the importance of feeling a sense of ownership in the company. - Focus: An opportunity to tackle significant, complex problems that directly influence real-world outcomes related to safety and efficiency. The company values the collaboration and fast iteration that come with working together in person, particularly at this stage of growth. The emphasis on teamwork and proximity aims to enhance collaboration and accelerate progress towards shared goals.,

What will you do 1. Dealer Platform Ownership (App, Web, API) Build smart, self-learning interfaces (mobile/web) that adapt to dealer behavior and drive outcomes Lead development of APIs and services that enable automation and intelligent interactions across systems Embed Agentic AI capabilities like proactive recommendations, real-time nudges, and conversational flows into the dealer experience Design systems that allow agents to act on behalf of usersautomating photo audits, inventory publishing, pricing optimizations, etc. 2. Build Core Business Platforms (Users, Billing, Revenue, Resellers) Architect modular and AI-augmented user, billing, and reseller systems Enable autonomous agent actions like: detecting billing anomalies, initiating upsell nudges, resolving credit issues, or suspending non-compliant accounts Power a reseller network with tools that drive self-service, policy enforcement, and scalable partner success via AI assistants 3. Drive Internal Automation with Agentic AI Build internal tools that function as co-pilots for Sales, CS, Marketing, Finance, and HR Enable AI agents to generate reports, schedule follow-ups, escalate risk, and suggest campaign ideas without human intervention Automate onboarding, revenue leakage tracking, payout reconciliations, and internal approvals through intelligent workflows 4. Platform Security, Performance & Scalability Define the framework for secure, scalable, and high-performing systems that support AI agents acting independently Collaborate with engineering to ensure observability, self-healing behaviors, and fail-safe mechanisms are in place for autonomous actions Ensure compliance, access controls, and audit trails are AI-aware and proactive in risk mitigation 5. Leadership and Execution Set product vision and roadmap aligned with Spyne's AI-first platform strategy Manage, mentor, and grow a world-class product team that thrives on innovation and speed Collaborate deeply with Engineering, Design, Data, and GTM leaders to execute rapidly with user-first thinking What you must have 8+ years of product management experience, with at least 5 years leading product teams Proven track record of successfully launching AI/ML products at scale Experience with Computer Vision and/or LLM technologies and their practical applications Strong technical background with ability to collaborate effectively with ML/AI engineering teams Outstanding leadership and communication skills Exceptional communication skills to explain technical AI concepts to non-technical stakeholders. Analytical mindset with the ability to define and measure success metrics. Hands-on experience with product development tools (e.g., Figma, Jira) and basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face). Ability to thrive in a fast-paced, ambiguous environment.

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

As the Senior Vice President, Data Management & Quantitative Analysis Manager at BNY, you will play a pivotal role in collaborating with desk strats and the quantitative analytics team to create and maintain C++/Python analytics libraries for pricing and risk analytics. Your responsibilities will involve developing pricing models for Rates, FX, and Equity models, as well as working closely with the platform engineering team to integrate analytics libraries into the firm's risk systems. You will also be tasked with exploring market data, pricing, and risk analytics issues, implementing AI-based quantitative workflow solutions, and leading a team of Quant Developers to drive quantitative business solutions. The ideal candidate will possess a Bachelor's/Master's degree in a relevant technical discipline such as Computer Science, Mathematics, or Financial Engineering. A finance-related qualification like CFA, FRM, or CQF would be advantageous. Proficiency in Python/C++ programming with a background in financial mathematics and quant development work is essential. Additionally, a strong understanding of FX and Fixed Income products pricing, yield curve construction, scenario analysis, sensitivities calculations, PFE, VaR, CCAR stress scenarios is required. Experience in developing pricing and risk analytics systems, familiarity with object-oriented analysis, and excellent analytical and problem-solving skills are key attributes for this role. Good communication skills and the ability to collaborate with trading desks and platform engineering teams are also essential. Previous front office experience involving FX and Rates, as well as knowledge about LLMs and AI-based quants workflow solutions, are preferred qualifications. Preferred candidates will have graduated from top-tier colleges such as IITs/BITs/NITs and possess professional experience with investment banking firms like Goldman Sachs, JP Morgan, Morgan Stanley, Deutsche Bank, etc. Professional certifications in finance such as FRM, CQF, or CFA are also desirable. Join BNY, an award-winning company recognized for its innovation, inclusivity, and commitment to excellence. Our accolades include being named America's Most Innovative Companies by Fortune in 2024, one of the World's Most Admired Companies, and achieving a 100% score on the Human Rights Campaign Foundation's Corporate Equality Index in 2023-2024. Additionally, we have been recognized as one of the Best Places to Work for Disability Inclusion, a Top Performing Company for Sustainability, and as part of the Bloomberg Gender Equality Index. At BNY, we value diversity and provide equal employment opportunities to underrepresented racial and ethnic groups, females, individuals with disabilities, and protected veterans.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,