1043 Llm Jobs - Page 9

Key Responsibilities: Academic Leadership: Provide vision and leadership in the development of innovative legal education programs (LL.B., B.A. LL.B., BBA LL.B., LL.M., and Ph.D.). Ensure high academic standards in teaching, curriculum design, pedagogy, and assessment in line with UGC and BCI regulations. Foster an environment of academic integrity, inclusiveness, and scholarly excellence. Promote interdisciplinary collaboration with other schools and departments. Faculty Management: Recruit, mentor, and retain highly qualified faculty members. Conduct faculty evaluations, promotions, and performance reviews. Facilitate faculty development programs, research, and publications. Encourage faculty participation in national and international legal forums and conferences. Student Development: Oversee student academic progress, discipline, and engagement. Promote legal aid, moot court, internships, and other experiential learning initiatives. Strengthen alumni relationships and mentorship programs. Support student placement, career counselling, and bar exam readiness. Regulatory & Accreditation Compliance: Ensure full compliance with UGC, BCI, and NAAC accreditation requirements. Prepare reports and documentation for audits, inspections, and accreditations. Strategic and Operational Management: Develop and implement the Schools strategic plan in alignment with the university’s goals. Manage the annual budget, resources, and infrastructure of the School. Initiate partnerships with legal firms, courts, government agencies, and international institutions. Enhance the visibility and reputation of the School through outreach and branding efforts. Research & Innovation: Promote cutting-edge research in legal studies and interdisciplinary fields. Facilitate the publication of research in peer-reviewed journals and law reviews. Encourage faculty and students to participate in funded research and consultancy projects. Desirable Experience: Experience with NAAC/NIRF/BCI accreditation processes. Experience in managing multi-disciplinary or multi-program law schools. Demonstrated leadership in launching new programs, building partnerships, and mobilizing resources. Skills & Attributes: Visionary leadership and strong academic orientation. Excellent interpersonal and communication skills. High level of integrity and ethical standards. Strong organizational and decision-making skills. Ability to lead, inspire, and manage diverse teams.

Job Description Proactively drive data science engineering projects forward with a self-motivated and go-getter attitude, effectively navigating ambiguity and managing at-times incomplete requirements. Build on top of and utilize Azure Cloud or AWS platforms, leveraging familiarity with components such as IAM, storage, compute, services, and application development. Develop, maintain, and optimize Python code bases to ensure performance, readability, and adherence to code standards like PEP8, including implementing comprehensive test coverage. Design, develop, and deploy scalable and performant Python web services and APIs for diverse architectures, including synchronous and asynchronous REST APIs. Implement and maintain event-driven product architectures and batch processing systems to support scalable and efficient data processing. Develop and deploy LLM-based and GenAI applications using tools and frameworks such as OpenAI, HuggingFace Transformers, LlamaIndex, and vector stores/databases like Chroma, FAISS, Qdrant, and Weaviate. Utilize the Elastic stack (Elastic, Logstash, Kibana) and Databricks for data processing and analytics as preferred. Effectively use version control, containerization, CI/CD pipelines, and the deployment of applications on Azure using Git and Docker. Manage SQL databases, such as PostgreSQL, ensuring efficient backend operations and data integrity. Collaborate effectively with cross-functional teams, including data scientists, engineers, and architects, to build and release data and AI applications. Communicate clearly and effectively in English, facilitating interactions and collaboration within a globally distributed and diverse data science and engineering team. SKILLS Utilize distributed data processing frameworks such as Apache Spark, Apache Dask, and Databricks. Implement logging and monitoring using Azure Log Analytics, Monitor, or Prometheus. Manage the development lifecycle, including code development, testing, and deployment to production environments. Apply parallel processing and concurrency paradigms in Python and .NET (desirable). Develop basic front-ends with JavaScript/TypeScript and frameworks like React or Vue (desirable). Proficient in a statically typed language such as C# .NET or Java (desirable). PROFESSIONAL EXPERIENCE/QUALIFICATIONS 5-6 years of development and back-end engineering experience, and at least a year of experience in shipping production-grade codebases. Bachelor's (B.E., B. Tech) or Masters (M.E, MTech) in computer science or software engineering is required.

Technical Skills (Mandatory) Python (Data Ingestion Pipelines) Proficiency in building and maintaining data ingestion pipelines using Python. Blaze graph Experience with Blaze graph technology. Neptune Familiarity with Amazon Neptune, a fully managed graph database service. Knowledge Graph (RDF, Triple) Understanding of RDF (Resource Description Framework) and Triple stores for knowledge graph management. AWS Environment (S3) Experience working with AWS services, particularly S3 for storage solutions. GIT Proficiency in using Git for version control. Optional and good to have skills Azure DevOps (Optional)Experience with Azure DevOps for CI/CD pipelines and project management (optional but preferred). Meta phactory by Meta phacts (Very Optional)Familiarity with Meta phactory, a platform for knowledge graph management (very optional). LLM / Machine Learning Experience with Large Language Models (LLM) and machine learning techniques. Big Data Solutions (Optional)Experience with big data solutions is a plus. Snap logic / Alteryx / ETL Know-How (Optional)Familiarity with ETL tools like SnapLogic or Alteryx is optional but beneficial. We don't need superheroes, just super minds. A degree in Computer Science, Engineering, or a related field is preferred. Professional Software Development Demonstrated experience in professional software development practices. Years of Experience3-5 years of relevant experience in software development and related technologies. Soft Skills Strong problem-solving skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced and dynamic environment. Strong attention to detail and commitment to quality. Fluent in English (spoken and written)

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to [HIDDEN TEXT] Regards, Balaram K Mobile No: +91- 9000749410 Email: [HIDDEN TEXT]

Location : Bengaluru (Hybrid) Job Description: We are looking for a skilled and detail-oriented MLOps Engineer with 3+ years of experience to join our ML engineering team. The ideal candidate will be responsible for ensuring seamless model deployment, monitoring, scalability, and performance tuning in production environments. You should be hands-on with Python , Databricks , mlFlow , Seldon , and experienced in cloud-based deployments (AWS). You will also contribute to prompt engineering and LLM app development using Langchain , and help productionize recommendation algorithms and other ML applications. Key Responsibilities: Manage the end-to-end lifecycle of ML models: development, deployment, monitoring, and scaling Work with Databricks , mlFlow , and Seldon for ML workflow orchestration and model management Perform ML load testing , ensure model scalability , and handle job monitoring in real-time environments Develop and maintain LLM-based applications using Langchain and prompt engineering techniques Deploy, monitor, and manage ML models in AWS or other cloud platforms Support recommendation algorithms and other ML solutions in production Collaborate with data scientists, ML engineers, and DevOps teams to ensure seamless integration Communicate clearly and effectively with stakeholders across tech and non-tech teams Must-Have Skills: Python Databricks mlFlow Seldon ML Load Testing, Model Scalability, Job Monitoring Prompt Engineering & LLM App Development (Langchain) AWS / Cloud Deployments Recommendation Algorithms, Production ML Deployment Excellent Communication Skills

Job Title: AI/ML Architect GenAI, LLMs & Enterprise Automation Location: Bangalore Experience: 8+ years (including 4+ years in AI/ML architecture on cloud platforms) Role Summary We are seeking an experienced AI/ML Architect to define and lead the design, development, and scaling of GenAI-driven solutions across our learning and enterprise platforms. This is a senior technical leadership role where you will work closely with the CTO and product leadership to architect intelligent systems powered by LLMs, RAG pipelines, and multi-agent orchestration. You will own the AI solution architecture end-to-endfrom model selection and training frameworks to infrastructure, automation, and observability. The ideal candidate will have deep expertise in GenAI systems and a strong grasp of production-grade deployment practices across the stack. Must-Have Skills AI/ML solution architecture experience with production-grade systems Strong background in LLM fine-tuning (SFT, LoRA, PEFT) and RAG frameworks Experience with vector databases (FAISS, Pinecone) and embedding generation Proficiency in LangChain, LangGraph , LangFlow, and prompt engineering Deep cloud experience (AWS: Bedrock, ECS, Lambda, S3, IAM) Infra automation using Terraform, CI/CD via GitHub Actions or CodePipeline Backend API architecture using FastAPI or Node.js Monitoring & observability using Langfuse, LangWatch, OpenTelemetry Python, Bash scripting, and low-code/no-code tools (e.g., n8n) Bonus Skills Hands-on with multi-agent orchestration frameworks (CrewAI, AutoGen) Experience integrating AI/chatbots into web, mobile, or LMS platforms Familiarity with enterprise security, data governance, and compliance frameworks Exposure to real-time analytics and event-driven architecture Youll Be Responsible For Defining the AI/ML architecture strategy and roadmap Leading design and development of GenAI-powered products and services Architecting scalable, modular, and automated AI systems Driving experimentation with new models, APIs, and frameworks Ensuring robust integration between model, infra, and app layers Providing technical guidance and mentorship to engineering teams Enabling production-grade performance, monitoring, and governance

Position Overview We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Skills: Technical Expertise Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills Strong communication skills with the ability to present technical solutions to business leaders. Proven ability to collaborate cross-functionally with technical and non-technical teams. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal

LLMs, VLMs, Prompt Engineering & AI Agents POC Project,

Job Title: AI Engineer Experience: 8+ Years (Minimum 6+ Years Relevant Experience) Work Location: Hyderabad Industry: Banking Job Type: Full-Time Job Description: We are hiring an experienced AI Engineer to design and implement intelligent, autonomous systems using agentic AI . This role involves integrating advanced machine learning models with reasoning, planning, and interaction capabilities to solve real-world problems in the banking domain . Key Responsibilities: Design and develop intelligent systems using LLMs and RAG architectures Implement autonomous decision-making and task execution workflows Integrate vector databases and agentic libraries (e.g., LangChain, LangGraph, Autogen) Apply computer vision and document processing to unstructured data Collaborate with cross-functional teams to deliver scalable AI-driven solutions Mandatory Skills: Python Large Language Models (LLMs) Prompt Engineering RAG Architecture Vector Databases (e.g., FAISS, Pinecone) Agentic Libraries (LangChain / LangGraph / Autogen) Computer Vision Document Processing Preferred Domain Experience: Banking and Financial Services Interested candidates, please share your updated resume at thulasi.d@tekskills.in

About the Role: We are looking for a passionate and experienced Generative AI Engineer to join our AI/ML team. In this role, you will be responsible for designing, building, and deploying advanced generative models to solve complex business problems. You will work closely with data scientists, machine learning engineers, and product teams to turn innovative ideas into real-world AI solutions. Key Responsibilities: Design, develop, and fine-tune generative AI models (e.g., GPT, LLaMA, Diffusion Models, GANs, VAEs). Leverage large language models (LLMs) and foundation models for tasks like summarization, content creation, code generation, etc. Develop pipelines for data preprocessing, model training, evaluation, and deployment . Conduct experiments and A/B testing to evaluate model performance and effectiveness. Work with prompt engineering , retrieval augmented generation (RAG), and fine-tuning strategies. Collaborate cross-functionally with engineering and product teams to build AI-driven features. Stay up to date with the latest advancements in GenAI, NLP, and Deep Learning . Optimize models for performance, scalability, and cost. Required Skills: 49 years of experience in AI/ML with at least 2 years working on generative models or LLMs. Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers . Experience with LLMs (GPT, PaLM, LLaMA, Claude, etc.) , prompt tuning , instruction tuning , or LoRA . Solid understanding of deep learning architectures , NLP, and computer vision techniques. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools . Familiarity with LangChain , VectorDBs (e.g., Pinecone, FAISS), OpenAI/Anthropic APIs is a plus. Excellent problem-solving and communication skills. Preferred Qualifications: Experience in deploying GenAI solutions in production. Contributions to open-source AI projects or research publications in the field.

About the Role: This task requires the creation of original, high-difficulty Q&As in the STEM domain that are not easily searchable online ("non-Googleable"). The questions should be designed to challenge advanced high thinking language models and must be accompanied by accurate, detailed step-by-step solutions. Required Qualifications: Masters degree holders in Mathematics. Highly proficient in writing equations and expression in LaTeX format. Excellent command of English with superior academic writing abilities. Deep subject knowledge and consistency in delivering high-quality content within tight deadlines. . Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning . Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Interested candidates please share your CV to : mrana@innodata.com

GenAI, NLP, or LLM based systems , strong Python development skills and working Artificial Intelligence, Python, AWS, Machine Learninges and embedding techniques

We are seeking a talented AI Engineer to join our cutting-edge team. In this role, you'll tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning. Key Responsibilities Lead research initiatives to improve OCR accuracy across diverse document types and languages Train and fine-tune LLMs using domain-specific data to enhance performance in specialized contexts Develop techniques to scale LLMs efficiently for high-volume production environments Design and implement novel approaches to model optimization and evaluation Collaborate with cross-functional teams to integrate AI solutions into production systems Stay current with the latest research and incorporate state-of-the-art techniques Document methodologies, experiments, and findings for both technical and non-technical audiences Required Qualifications Masters or PhD in Computer Science, Machine Learning, AI, or a related field Minimum 8+ yr of working experience in the relevant skills and technologies Strong understanding of deep learning architectures, particularly transformer-based models Experience with OCR systems and techniques for improving text recognition accuracy Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX) Demonstrated ability to implement and adapt research papers into working code Excellent problem-solving skills with a methodical approach to experimentation Strong communication skills to explain complex technical concepts clearly Preferred Qualifications Research focus during PhD in areas relevant to our work (NLP, computer vision, multimodal learning) Familiarity with distributed training systems for large-scale models Experience with model quantization, pruning, and other efficiency techniques Understanding of evaluation methodologies for assessing model performance Knowledge of MLOps practices and tools for model deployment Publications at top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, etc.)

Hiring :AIEngineer(2+YearsExperience)|Chennai|ImmediateJoinersPreferred Location:Chennai,Nagercoil Experience:2+Years Noticeperiod:Immediateto15days SkillsHighlighted:Generative AI , LLMs , ML , DeepLearning , TensorFlow , Python , NLP Key_Requirements : -FourormoreyearsofexperienceinapplyingAItopracticalandcomprehensivetechnologysolutions -ExperiencewithGenerative AI , LLMs , ML , DeepLearning , TensorFlow , Python , NLP . -Experienceinprogramleadership,governance,andchangeenablement -Knowledgeofbasicalgorithms,object-orientedandfunctionaldesignprinciples,andbest-practicepatterns -ExperienceinRESTAPIdevelopment,NoSQLdatabasedesign,andRDBMSdesignandoptimizations IfinterestedkindlyshareyourupdatedCVto[HIDDEN TEXT]

Level: Assistant manager Location : Bangalore Interested candidates can share their resume with rhythmrhythm@kpmg.com Role & responsibilities: Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions •Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects •Influence machine learning strategy for Digital programs and projects •Make solution recommendations that appropriately balance speed to market and analytical soundness •Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) •Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Create algorithms to extract information from large, multiparametric data sets. •Deploy algorithms to production to identify actionable insights from large databases. •Compare results from various methodologies and recommend optimal techniques. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Develop and embed automated processes for predictive model validation, deployment, and implementation •Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Preferred candidate profile : Bachelor of Science or Bachelor of Engineering at a minimum Good hands-on skills in both feature engineering and hyperparameter optimization Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering

Overview: TekWissen is a global workforce management provider that offers strategic talent solutions to our clients throughout India and world-wide. Our client is a company operating a marketplace for consumers, sellers, and content creators. It offers merchandise and content purchased for resale from vendors and those offered by thirdparty sellers. Job Title: Software Dev Engineer I Location: Bengaluru Job Type: Contract Work Type: Remote Job Description: The Top Responsibilities: Critically analyze and evaluate code responses generated by our LLMs across various programming languages and paradigms Exercise expert judgment to select the most appropriate and efficient code solutions from multiple LLM-generated options Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated code, setting benchmarks for quality and efficiency Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output Collaborate with the AI research team to identify areas for improvement in the LLM's coding capabilities Stay abreast of the latest developments in software engineering, coding standards, and AI to ensure our evaluations remain cutting-edge Leadership Principles: Bias for Action, Deliver Results Mandatory Requirements: Advanced degree in Computer Science, Software Engineering, or a related field Extensive experience (1+ years) in software development across multiple programming languages and paradigms Demonstrated ability to critically evaluate code quality, efficiency, and adherence to best practices Strong analytical and decision-making skills, with the ability to make complex judgments under ambiguous circumstances Excellent written and verbal communication skills, with the ability to explain technical concepts clearly Experience in technical writing, particularly in creating coding examples or tutorials Preferred skills: Previous experience working with or evaluating AI systems, particularly in the context of code generation Familiarity with a wide range of software development methodologies and architectural patterns Understanding of machine learning concepts, particularly as they apply to natural language processing and code generation Experience in creating or contributing to coding standards or style guides This role requires a unique blend of technical expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world coding applications. Your work will directly influence the development of next-generation AI coding assistants, shaping the future of software development. If you're passionate about code quality, have a keen eye for detail, and are excited about the potential of AI in software engineering, we encourage you to apply for this pivotal role at AGI Data Services. Education or Certification: Graduation in CSE or IT TekWissen Group is an equal opportunity employer supporting workforce diversity.

Role & responsibilities 3+ years of professional software development experience with strong proficiency in Python . Hands-on experience building applications that interact with or utilize Generative AI models (e.g., Large Language Models - LLMs). Familiarity with key Generative AI concepts like prompt engineering, Retrieval-Augmented Generation (RAG). Experience with relevant Python libraries and frameworks for application development (e.g., Flask, FastAPI, Streamlit, LangChain, Hugging Face Transformers). Solid understanding of software engineering principles, including API design, data structures, and algorithms. Experience with version control systems (e.g., Git). Ability to work effectively in a collaborative team environment.

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

You will be part of a dynamic team at SAP, focused on developing AI capabilities for Concur Solution Area products like Joule and GenAI Hub. Your role will involve creating reusable AI solutions using Python-based machine learning and deep learning models such as BERT or ROBERTA. A critical aspect of your responsibilities will be to streamline process operations through AI capabilities and provide ongoing support and enhancements to LoBs operational methodologies. Your tasks will include prioritization, execution, and feedback collection to ensure efficient delivery of AI solutions. As a Full Stack Developer with 1-3 years of experience, proficiency in Java and Python is essential for this role. You will work on developing Python-based AI models, utilizing Joule and BTP products, and understanding Concur as a product capability. Your responsibilities will also include translating customer pain points into AI problems, evaluating AI deliverables, designing solutions, and developing applications to address those problems. Collaboration will be a key aspect of your role, as you will closely interact with stakeholder teams, engage in AI-based developments, and leverage Robotics to translate intelligence into actionable insights. Furthermore, you will be expected to create pitch documents, collaborate with product owners, and demonstrate a deep understanding of AI technologies and their applications. In this role, you will have the opportunity to enhance your technical skills by gaining real-time experience in the SaaS business model, cloud servicing, and support functions. You will also collaborate with internal stakeholders, deliver business presentations to executive sponsors, and leadership teams. Proficiency in LLM, Gen AI, machine learning, Python, JavaScript, and HANA ML will be advantageous in this position. At SAP, we value inclusion, health, well-being, and flexible working models to ensure that every individual, regardless of background, can thrive. As an equal opportunity workplace, we are committed to fostering a diverse and inclusive environment where all employees can reach their full potential. We believe in leveraging the unique capabilities of each individual to create a better and more equitable world. If you are excited about developing complex Python code, learning BTP capabilities, and contributing to innovative AI solutions, this role at SAP offers a rewarding opportunity to showcase your skills and grow within a purpose-driven and future-focused organization.,

The principal role of the Software Engineer Java/J2EE is to support the Variable Marketing Applications and deliver the Product Features. You will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. Your involvement will span the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying the software to meet customer requirements. Your responsibilities will include liaising with Interfacing PDO teams, Other IT Skill Teams, and Business Customers to deliver the product commitments. You will work closely with the Product Manager, Product Owner, and Product Team members on Backlog Refinement, Estimation, Release & Iteration Planning, Delivery, and Launch. To excel in this role, you must have a minimum of 5+ years of experience in JAVA and Spring Boot with RESTful services. Your experience should also cover designing and implementing APIs with RESTful services, along with relevant experience in development and production support. Familiarity with SDLC, Agile, and DevOps methodologies is essential. Experience in Incident Management, Problem Management, and Request Fulfillment processes, as well as proficiency in GCP or Cloud Platforms, are required. You should have a good understanding of IT Security and Controls, exposure to Quality Control Procedures and Practices, and the ability to work independently while liaising with business and other stakeholders. A continuous improvement mindset is crucial for success in this role. Your proficiency in writing SQL queries for efficient data retrieval and storage, along with experience working in agile methodology, will be valuable. Hands-on experience with code quality tools like FOSSA, 42 Crunch, Checkmarx, SonarQube, and strong analytical and problem-solving skills are necessary attributes. Effective communication skills and the ability to work well in a team are also vital. A good understanding of RDBMS and the ability to write efficient database queries and fine-tune queries using SQL are expected. Additional skills such as experience in UI development using Angular JS or React, exposure to productivity tools like Github CoPilot, LLM, and engaging with customers to understand their use-cases and requirements empathetically will be advantageous. In this role, you will solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile), and technologies. You will assess software application or service requirements to determine the most suitable technology stack, integration method, deployment strategy, etc., and create high-level software architecture designs. Collaborating with cross-functional teams, defining and implementing software test strategy, guidelines, policies, and processes, continuously improving performance, optimizing applications, and supporting security practices are key aspects of this position. You will also develop user-friendly and interactive interfaces using Angular JS, maintain back-end applications like APIs and microservices using Java Spring Boot, and evaluate and incorporate emerging technologies and capabilities into your solutions.,

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

As our Founding Engineering Manager, you will play a crucial role in building and scaling the backend infrastructure for our core voice AI product. Your responsibilities will include making informed decisions on architecture, system design, infrastructure, and performance optimization. Additionally, you will lead and mentor a growing engineering team, ensuring that they are equipped with the necessary skills and guidance to succeed. One of your key tasks will be to own the technical roadmap and collaborate closely with the co-founders to align the technology strategy with the overall business objectives. While fulfilling these leadership responsibilities, you will also stay hands-on by writing clean and efficient code primarily in Go and Python. This hands-on approach will allow you to maintain a deep understanding of the product and technology stack. Furthermore, you will work in close coordination with AI specialists, product managers, and customer success teams to deliver a seamless and high-quality experience to our clients, particularly those in the high-stakes BFSI sector. Ensuring security, uptime, and compliance will be paramount in meeting the expectations of these clients. In terms of technology stack, you will be proficient in languages such as Go and Python, and have experience with infrastructures like AWS, Docker, Postgres, and Redis. Familiarity with AI technologies such as LLMs, NLU/NLP APIs, as well as CI/CD, logging, and monitoring tools will be essential for success in this role. To excel in this position, you should ideally possess 5-10 years of backend engineering experience and have a track record of scaling systems from 0 to 100+ users. Your passion for clean code, system design, and solving complex infrastructure challenges will set you apart. Previous experience in leading or mentoring development teams will be beneficial, as you will be expected to take ownership and drive results in a high-growth voice AI startup environment. If you have prior experience in developing AI/LLM/NLP or voice-based products, or have worked in fintech, BFSI, or startup environments, it would be considered a bonus. This additional expertise can further enhance your contributions to our team and the impact we aim to create in the market. In return, we offer competitive compensation along with equity opportunities, high levels of ownership and autonomy, and the unique status of being part of the founding team. This role presents you with a chance to be a key player in building something truly impactful and innovative within the voice AI space.,

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

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

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