1443 Generative Ai Jobs - Page 27

As a Backend Developer at Maitri AI, you will be responsible for developing, optimizing, and maintaining backend services using FastAPI. Your primary focus will be on implementing API authentication, authorization, and security best practices. You will work with SQLAlchemy for ORM-based database management and design, query, and optimize databases using MySQL. Utilizing NumPy and Pandas for data processing and transformation will be essential in your day-to-day tasks. Collaboration with frontend developers to seamlessly integrate APIs, as well as implementing and maintaining CI/CD workflows with GitHub, will be part of your responsibilities. You will have the opportunity to research and integrate Machine Learning and Generative AI solutions such as Gemini AI and OpenAI. Troubleshooting and resolving backend-related issues will also be a key aspect of your role. To succeed in this position, you should have at least 2 years of experience in backend development and hold a Bachelor's degree in Computer Science, Information Technology, or a related field. Proficiency in Python, FastAPI, SQLAlchemy, and MySQL databases is required. A strong understanding of API authentication and security principles, experience with GitHub for version control, and familiarity with NumPy and Pandas are essential. Preferred skills for this role include experience with Machine Learning and Generative AI models, knowledge of containerization technologies like Docker, and exposure to cloud services such as AWS, GCP, or Azure. By joining our team, you will have the opportunity to work on cutting-edge AI and backend projects, enjoy a competitive salary and benefits, and be part of a collaborative work environment that encourages learning and growth. If you are passionate about AI and technology, eager to contribute to innovative projects, and meet the qualifications mentioned above, we would love to have you on board as a valuable member of our team.,

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,

Oraczen is at the forefront of Generative AI, pioneering next-generation AI-driven applications that redefine industry standards. The company is committed to innovation, collaboration, and technical excellence, enabling enterprises to seamlessly integrate artificial intelligence into their operations. The team at Oraczen consists of top-tier AI experts, engineers, and product innovators dedicated to pushing the boundaries of AI/ML applications. The company fosters a culture of continuous learning, inclusion, and excellence to create cutting-edge solutions that transform businesses. As a Product Architect at Oraczen, you will lead the development of scalable, high-performance AI applications. With over 10 years of expertise in Python and AI/ML, you will collaborate with AI researchers, product managers, and software architects to design and implement cutting-edge AI-driven solutions. Your role will involve developing advanced Generative AI models and optimizing machine learning frameworks to solve complex industry challenges. Key Responsibilities: - Architect, design, and develop enterprise-grade AI applications using Python and leading AI/ML frameworks. - Provide technical leadership and mentorship to engineering teams, fostering a culture of excellence and innovation. - Collaborate with cross-functional teams to define AI system architectures for various applications. - Develop and optimize deep learning and machine learning models in areas such as Natural Language Processing, Computer Vision, and Generative AI. - Implement and fine-tune large-scale AI models to ensure efficiency, accuracy, and performance in real-world applications. - Lead code reviews, technical discussions, and AI research initiatives to uphold high coding standards and drive innovation. - Troubleshoot, debug, and optimize AI-driven applications to enhance scalability, reliability, and user experience. - Stay updated on industry trends by researching and integrating cutting-edge AI methodologies and technologies. - Design and implement MLOps pipelines for streamlined AI model deployment, monitoring, and maintenance. - Contribute to patents, research publications, and open-source AI projects to drive thought leadership in the AI industry. Qualifications & Skills: - Bachelor's or master's degree in computer science, Software Engineering, or a related field (PhD preferred). - 10+ years of experience in software development with a strong focus on Python and AI/ML. - Extensive knowledge of Generative AI, Deep Learning, and Machine Learning frameworks such as TensorFlow, PyTorch, Hugging Face, and OpenAI APIs. - Proven expertise in Natural Language Processing, Computer Vision, or Large Language Models. - Hands-on experience in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). - Strong understanding of scalable AI architectures, distributed computing, and data engineering best practices. - Experience with MLOps tools and techniques for deploying AI models in production environments. - Excellent problem-solving skills and the ability to thrive in a fast-paced, agile development environment. - Strong leadership, mentorship, and technical communication skills to collaborate effectively with engineering teams. Why Join Us - Lead the development of cutting-edge AI-driven applications in an innovative, future-focused company. - Work alongside top-tier AI experts and engineers on groundbreaking projects. - Competitive salary, equity options, and comprehensive benefits package. - A collaborative and inclusive team culture that encourages continuous learning and professional growth. - Access to state-of-the-art AI research, tools, and high-performance computing resources. - Professional development opportunities, including AI conferences, certifications, and leadership training.,

As the Head of Engineering at KonProz GPT, you will play a crucial role in leading our engineering team to drive technical innovation and ensure the successful development and deployment of advanced AI systems for our cutting-edge platform. Your deep technical expertise in AI/ML and Generative AI will be instrumental in shaping the technical vision, architecture, and implementation of our technology. Your key responsibilities will include leading and managing a team of engineers focused on AI/ML and Generative AI solutions. You will oversee the design, development, and deployment of advanced AI systems for the KonProz GPT platform, ensuring that engineering practices meet the highest standards. Collaboration with cross-functional teams to align technical efforts with business goals will be essential. Staying current with AI/ML trends and incorporating best practices into the platform will be a part of your role. Your hands-on coding contributions and mentorship to the engineering team will be crucial in delivering scalable, secure, and efficient software solutions. Your expertise in ensuring the product meets legal, tax, and regulatory requirements will be valuable, given your in-depth knowledge of these sectors. To qualify for this role, you should have 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies. Proven experience in managing engineering teams while also being technically involved is required. Proficiency in Python is a must-have, and familiarity with Java, Go, and R is preferred. A strong understanding of frontend technologies, particularly Next.js, and experience with backend technologies like Node.js is essential. Knowledge of authentication systems like Auth0 and experience with server and database technologies, especially AWS and Firestore, is required. Additionally, you should have a strong understanding of AI/ML frameworks, algorithms, and deployment practices. Good knowledge of the legal, tax, and regulatory sectors in India is important. A Bachelors or Masters degree in Computer Science or a related field is preferred. Your problem-solving skills and ability to thrive in a fast-paced environment will be key to your success in this role.,

As an ABAP or C++ Developer specializing in Generative AI at SAP, you will have the opportunity to be part of a dynamic team that is driving innovation in the global enterprise application landscape. Your role will involve seamlessly integrating Generative AI into the ABAP platform, shaping the future of enterprise solutions. Your responsibilities will include: - Training/fine-tuning large language models to address the specific needs of the ABAP language and programming models. - Collaborating with data scientists to integrate AI solutions into existing systems. - Analyzing and preprocessing large datasets to prepare them for modeling. - Conducting experiments and performance evaluations of AI models. - Documenting development processes and creating technical specifications. - Staying updated with the latest research and advancements in AI and machine learning. - Providing support and troubleshooting for deployed AI systems. To excel in this role, you should have a Bachelor's or advanced degree in Computer Science, Software Engineering, or a related field. Hands-on experience with natural language processing (NLP) and machine learning frameworks is preferred. Proficiency in programming languages like ABAP, Java, or Python is necessary, along with an understanding of ABAP development principles, SAP systems, and programming models. Strong problem-solving skills, attention to detail, and excellent communication and collaboration skills are essential. Join our vibrant team at SAP and immerse yourself in an innovative environment where your skills and ideas are valued and rewarded. If you are passionate about development and AI technology and enjoy crafting tools to simplify developers" lives, let's shape the future together! At SAP, we believe in inclusion, health, and well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We are committed to creating a better and more equitable world by unleashing all talent and investing in our employees" personal development. SAP is proud to be an equal opportunity workplace and an affirmative action employer. We provide accessibility accommodations to applicants with physical and/or mental disabilities. If you require accommodation or special assistance during the application process, please contact the Recruiting Operations Team at Careers@sap.com. Join us at SAP and be part of a purpose-driven and future-focused company that values collaboration, personal development, and inclusive teamwork. Your journey to shape the future of ABAP Platform starts here!,

Must-Have: 6-8 years of hands-on experience in AI/ML, LLMs, RAG, and Gen AI . Expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face . Experience with AWS Bedrock, AWS Nova, Azure AI, Vertex AI, OpenAI APIs . MLOps experience for automating AI model deployment. Hands-on with Vector DBs (Pinecone, FAISS, ChromaDB) . interested candidates share cv to dikshith.nalapatla@motivitylabs.com

As a Data & AI Manager at our organization, you will be responsible for driving AI and data strategies to ensure our company remains at the forefront of AI innovation. You will leverage your expertise in Generative AI, Natural Language Processing (NLP), and AI-driven document processing technologies to lead projects, work hands-on with AI frameworks and tools, and guide the adoption of AI best practices within the organization. In this role, you will play a key part in setting strategic AI goals, contributing to the development of best practices and frameworks for AI model development, deployment, and maintenance. You will champion the use of advanced AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, spaCy, and Transformers for NLP. Additionally, you will stay updated with the latest advancements in AI/ML, incorporating new technologies like Generative AI and Document Processing tools such as LayoutLM and Donut, while contributing innovative solutions to AI challenges. Furthermore, as a leader in this capacity, you will focus on team development by mentoring junior AI team members, sharing your expertise, and fostering a collaborative culture of innovation and excellence. You will collaborate with R&D, engineering, and business development teams to turn AI insights into actionable solutions, driving the development of AI-powered products and services. Effective communication of AI strategies and developments to functional heads and executive leadership will also be a critical aspect of your role, ensuring alignment and understanding across all levels of the organization. Our selection process for this role will include an Aspiration Alignment Discussion, Role Fitment Round, and HR Round for interaction and offer extension. Perennial Systems, our organization, is an Outsourced Product Development Organization specializing in solving complex problems of engineering and product teams using a process-driven approach. We work with various product-based companies across South East Asia, US & UK, and focus on building products with cutting-edge technologies for web, mobile, and cloud platforms. Additionally, we are the proud owner of GSTTHero, a product appointed by the Govt of India as a GST Suvidha Provider, enabling automations of GST compliances in India. At Perennial, we offer strong engineering teams, consulting exposure & product-driven mindset, learning culture, and a collaborative environment to support our team members in exploring and learning the upcoming market trends. We promote a learning culture with access to more than 8000+ courses, sponsor certifications, and arrange in-house and external tech MeetUps to enhance the growth of our people. Our teams work closely with other verticals to ensure a seamless and collaborative approach to client acquisition and retention.,

As a Junior Data Scientist specializing in Generative AI, you will have the exciting opportunity to explore new problems, drive innovation, and apply advanced machine learning techniques and programming skills, especially in Python. Your primary role will involve enhancing the analytics backend flagship products and contributing to the advancement of knowledge discovery solutions. This position is ideal for individuals who are passionate about learning, creative problem-solving, and thrive in a dynamic environment. To be eligible for this role, you should have a Bachelor's degree in computer science or a related field OR a Master's degree in statistics, along with 2-6 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python is essential, as well as experience with Generative AI techniques and tools. You should also be familiar with data imputation, data cleaning, outlier handling, cloud platforms like AWS, AI/ML services, and databases/tools such as SQL. Desirable technical skills include expertise in NLP and Generative AI concepts/methods/techniques, such as Prompt design/engineering, Retrieval Augmented Generation (RAG), Corrective RAG, Knowledge Graph-based RAG using GPT4o, Fine-tuning through LORA/QLORA, and Multi-agentic frameworks for RAG. A strong understanding of Deep Learning methods, Machine Learning techniques, Ensemble methods, Support Vector Machines, and NLP is also preferred. Your specific responsibilities will include translating business requirements into actionable analytical plans, identifying appropriate data sources, resolving data discrepancies, delivering projects and proof-of-concept initiatives, contributing to technical and analytics architecture development, implementing analytical frameworks and data pipelines, coordinating with cross-functional teams, and delivering production-ready models and solutions. You will also be responsible for monitoring success metrics, staying informed about new trends in Generative AI, and integrating relevant advancements into solutions. With 8-11 years of experience, your primary skill will be AI/ML Development, with additional expertise in Python, TensorFlow, and PyTorch. The company you will be working for, Infogain, is a human-centered digital platform and software engineering company based in Silicon Valley. Infogain engineers business outcomes for Fortune 500 companies and digital natives across various industries using technologies like cloud, microservices, automation, IoT, and artificial intelligence. As an Infogain employee, you will accelerate experience-led transformation in the delivery of digital platforms.,

We are looking for a full-time AI Developer specializing in Generative AI and Large Language Models (LLMs) to join UpSolve Solutions. Your role will involve designing, developing, and deploying AI models, with a specific focus on GenAI and LLMs. Leveraging your expertise in machine learning, natural language processing, and data science, you will create innovative AI solutions that address business challenges and foster innovation. As the ideal candidate, you should possess a strong background in Generative AI and Large Language Models (LLMs), along with proficiency in machine learning algorithms, natural language processing, and predictive modeling. Your programming skills in languages such as Python will be crucial, as well as your familiarity with GCP, AWS, or Azure. Experience in large-scale data processing and model training will also be beneficial. Your problem-solving, critical thinking, and analytical skills will be put to the test as you work with complex datasets, perform data preprocessing, and optimize AI models. Furthermore, your ability to communicate technical concepts effectively to non-technical stakeholders will be essential in this client-facing role. A Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science) is required for this position. Any experience with video and text analytics would be considered a plus. This is a full-time, permanent position with benefits including paid sick time, paid time off, and a yearly bonus. The work schedule is during the day shift, and the work location is in person. To apply, please ensure you meet the educational requirements and are able to work in New Delhi or its vicinity. Kindly provide details of your current CTC and any previous experience with LLM projects in your application.,

This role is for one of the Weekday's clients. As the AI Director, you will be responsible for leading strategic initiatives to integrate Generative AI into the organization's core processes and offerings. Your key responsibilities include developing and executing a forward-looking strategy, identifying opportunities for AI application, collaborating with the executive team, and overseeing AI system development and deployment. You will provide technical direction for the design, development, and implementation of Generative AI models and solutions, ensuring scalability, security, and high performance. Collaborating with data engineering and infrastructure teams, you will establish robust pipelines and systems for AI model training and deployment. Additionally, you will build, mentor, and manage high-performing AI research and engineering teams, fostering a culture of innovation and collaboration. As the AI Director, you will drive research initiatives in Generative AI, natural language processing, computer vision, and related fields. Keeping abreast of emerging AI technologies, you will build partnerships with academic institutions, research labs, and AI communities to ensure the adoption of relevant advancements to meet business needs. You will play a crucial role in translating complex AI concepts into actionable insights for non-technical stakeholders, leading conversations with clients, partners, and internal teams to showcase the potential of Generative AI solutions. Furthermore, you will develop and track KPIs to evaluate the impact of Generative AI initiatives on business outcomes and ensure ethical use of AI technologies and compliance with regulatory requirements. The ideal candidate for this position should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields. A PhD is highly desirable. You should possess at least 10 years of experience in AI, data science, or technology leadership, with expertise in Generative AI technologies. Strong leadership experience in managing diverse technical teams and overseeing complex AI projects is essential. Technical expertise required for this role includes a deep understanding of Generative AI, proficiency in machine learning frameworks such as TensorFlow, PyTorch, or similar tools, strong programming skills in languages commonly used in AI/ML, and experience with cloud platforms and AI-specific infrastructures. Exceptional communication, collaboration, problem-solving abilities, and a strong understanding of AI ethics and governance principles are also necessary for success in this role.,

As a Data Scientist specializing in Conversational AI and Generative AI, you will play a crucial role in driving forward our AI initiatives. Your main focus will involve developing and optimizing intelligent conversational systems by leveraging advanced techniques, particularly Large Language Models (LLMs) from OpenAI. Your responsibilities will include designing and implementing Conversational AI solutions that utilize Generative AI and OpenAI models. You will fine-tune LLMs to improve their performance in conversational settings, analyze large datasets to extract insights for enhancing models, collaborate with cross-functional teams to incorporate AI solutions into products and services, conduct experiments to assess the efficacy of AI implementations, and keep abreast of the latest advancements in AI research and technology. To excel in this role, you should possess at least 4 years of experience in data science, machine learning, or a related field. A strong grasp of Conversational AI and Generative AI, along with hands-on experience with OpenAI technologies, is essential. Proficiency in natural language processing (NLP) techniques and frameworks, familiarity with CI/CD pipelines, Git, and prompt engineering, robust programming skills in Python, and knowledge of AI/ML libraries are also required. Familiarity with cloud platforms such as AWS, GCP, or Azure would be advantageous. Additionally, you should demonstrate excellent analytical and problem-solving abilities, strong communication skills for effectively presenting findings to technical and non-technical audiences, and the capability to work autonomously while efficiently managing multiple projects. If you are passionate about pushing the boundaries of AI technology and have a proven track record in data science and AI development, we encourage you to apply and be a part of our dynamic team.,

Service Cloud by Salesforce is a revolutionary customer service platform designed to transform your business's approach to customer support. It empowers your team to deliver efficient, personalized customer service experiences across multiple channels, all in one unified platform. With Service Cloud, you can streamline workflows, automate routine tasks, and leverage AI-powered insights to drive customer satisfaction and loyalty. Whether it's faster case resolution, 360-degree customer views, or real-time analytics, Service Cloud is your key to unlocking exceptional customer service. Join our dynamic team at Salesforce and make a real impact with your work! We're looking for passionate individuals who want to shape the future of our products and deliver exceptional data-driven experiences to our customers. Come be a part of our innovative and collaborative environment, where your skills will thrive, and your ideas will be valued. Apply now, and let's build something extraordinary together! We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive. Your Impact: Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology in AI and striving for the best quality and throughput. As part of this role, you will: - Design, implement, test, and deliver highly scalable enterprise-grade AI/ML solutions from the ground up. - Lead the development of prototypes and rapid experimentation to evaluate new algorithms, models, or approaches, balancing time-to-market with long-term technical investments. - Operate optimally in the hybrid engineering model where engineers are encouraged to craft and complete the vital work to ensure quality in their code as well as in other engineers". - Present your own designs to internal/external groups and review the designs of others. - Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics for AI/ML systems. - Participate in the team's on-call rotation to address sophisticated problems in real-time and keep services operational and highly available. Required Skills: - 2 to 12 years of professional software development experience in implementing and operating AI/ML at scale. - Proven understanding in at least one high-level programming language (C++, Python, Go, etc.). - Deep domain knowledge and expertise in AI/ML and data analysis is required. - Experience in the ML lifecycle, including model training, deployment, inferencing, and the challenges associated with scaling AI products. - Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing. - Proven ability to design and architect complex, high-performance systems that support AI workloads. - Excellent interpersonal skills. - Degree or equivalent relevant experience required. Experience will be evaluated based on core competencies (e.g., extracurricular leadership roles, military experience, volunteer roles, work experience). Preferred Skills: - Strong technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models. - Experience with Agile software development and test-driven development. - Track record of being a top performer in current and past roles. Benefits & Perks: Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!,

The Lead Platform Engineer - Gen AI at Elanco, based in Bengaluru, India, will be a part of the Software Engineering & Platforms team. Reporting to the IT Engineering Associate Director, you will be instrumental in driving the direction of platform and automation capabilities, specifically focusing on generative AI and its implementation at Elanco. Your role will involve collaborating with a diverse team to work on cutting-edge engineering initiatives that ensure secure, reliable, and efficient solutions using the latest technology. As a successful candidate, you must possess a highly motivated and innovative mindset, with the ability to articulate complex technical topics, collaborate with external partners, and ensure the quality delivery of solutions. You will have the opportunity to contribute to the growth of a highly skilled engineering organization and play a key role in shaping the future of GenAI capabilities at Elanco. Your responsibilities will include staying updated on the latest AI research and technologies, contributing to continuous improvement and innovation within the team, identifying opportunities for enhancing application team and developer experience, and working collaboratively with various stakeholders to deliver high-quality technical solutions. Additionally, you will be responsible for building and running GenAI capabilities, supporting distributed teams on AI/ML consumption, and maintaining robust support processes. To qualify for this role, you must have a minimum of 2+ years of hands-on experience in Generative AI and LLMs, along with a total of 8+ years of experience as a Software Engineer. Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks is essential, as is a strong understanding of neural networks, NLP, computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure), familiarity with AI technologies, data pipelines, and deploying AI solutions in real-world applications are also required. It would be beneficial to have experience with Cloud Native design patterns, core technologies like Terraform, Ansible, and Packer, cloud cognitive services, AI/Embeddings technologies, modern application architecture methodologies, and API-centric design. Knowledge of authentication and authorization protocols, AI security, model evaluation, and safety will be advantageous. This role offers an exciting opportunity to work on cutting-edge technology, contribute to the growth of a new engineering organization, and make a significant impact on Elanco's AI capabilities. If you are passionate about innovation, collaboration, and driving tangible outcomes, we encourage you to apply for this role.,

Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Cloud No. of positions- 2 Notice period -Immediate to 15 days Location-Chennai (WFO)

Looking for AI engineer , between 4-6 years of experience. Location is Pune (Onsite) Bengaluru (Hybrid) You can reach out to 9718077340

Key Skills : Large Language Models (LLM) : Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG) : Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing. Streaming & Real-time Processing : Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization. API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficienc

Preferred candidate profile 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. (Must Have) 2+ years of experience with Python (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots (Must Have) 1+ years of experience with Playbooks , Vertex AI (Must Have) Exposure to ADK (hands-on) and Voice AI (Good to have) , LangChain and/or LangGraph is a plus (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning)

Job Description: API Test Engineer Python & Gen AI Key Responsibilities - Design and implement automated API test suites using Python frameworks such as FastAPI, Flask, and Pytest. - Develop and maintain RESTful APIs and validate them using tools like Postman, SoapUI, and Swagger. - Collaborate with Gen AI developers to integrate LLM-based features into test automation workflows. - Participate in CI/CD pipeline integration for test automation using tools like Jenkins, Terraform, and Docker. - Analyze test results, identify bottlenecks, and optimize performance across multi-layered data sets. - Support grooming and onboarding of junior testers into Gen AI and Python-based automation practices. Required Skills - Programming: Python (FastAPI, Flask), Shell scripting - Testing Tools: Postman, SoapUI, Pytest - Gen AI: LangChain, LlamaIndex, RAG, Prompt Engineering, VectorDBs (e.g., ChromaDB), Azure OpenAI - Cloud Platforms: AWS, Azure, GCP - DevOps: Jenkins, Docker, Kubernetes, Terraform - Version Control: Git, Bitbucket Experience - 4–7 years in API testing and Python development - 1–2 years exposure to Gen AI concepts and tools

Job description Key Responsibilities: Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection. Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction. Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring. Collaborate with business stakeholders to understand the business processes, define AI-driven features, and ensure smooth integration of machine learning models into the existing technology stack. Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments. Guide the team in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and lending. Required Skills: 4+ years of experience in developing and deploying AI/ML solutions, with at least 2 years of experience in enterprise software development. Expertise in Deep Learning frameworks like TensorFlow , Pytorch. Strong proficiency in Java, Python, and related programming languages. In-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT). Experience with vision-based algorithms and their application in real-world financial problems. Knowledge of business processes in the lending domain and transaction banking.

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Job Description for AI Architect : Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Client : Genzeon Position : AI Architect Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements Location - Hyderabad,Bangalore,Chennai,Pune,Noida,Delhi,Anywhere in India/Multiple Locations

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 6 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Note: We are seeking for experience in Agentic AI.

Responsibilities: * Lead data science initiatives from ideation to implementation. * Develop machine learning models using deep learning techniques. * Collaborate with cross-functional teams on generative AI projects.

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities

Tata Elxsi is truly your home to a billion possibilities. We believe in opportunities for everyone to be bold and curious and seek to shape the future. Explore whats possible, discover what you love to do, and find accelerated paths for growth. At Tata Elxsi, you matter. We are looking for Learning Specialist Hiring Location: Bangalore Experience: 6 -10 Years Job Summary: We are seeking a dynamic and highly skilled Learning Specialist to design, development, and deployment of innovative digital learning experiences. This role blends instructional design, multimedia production, LMS administration, and the creative use of generative AI tools to deliver engaging, scalable, and data-driven learning solutions. Key Responsibilities: Instructional Design & Learning Strategy Conduct training needs analysis and define measurable learning objectives. Design and storyboard eLearning modules, microlearning, and blended learning programs using ADDIE, SAM, or other instructional models. Collaborate with SMEs to translate complex content into engaging learning experiences. Multimedia & Visual Design Design and produce high-quality visual and video content using: Adobe Creative Suite : Photoshop, Illustrator, After Effects, Premiere Pro. Generative AI tools : Midjourney for visual assets, Sora for video generation,and TTS platforms (e.g., ElevenLabs, WellSaid Labs) for voice-over narration. Create animations, explainer videos, and motion graphics to enhance learning impact. Ensure all content is accessible and optimized for various devices. eLearning Development & Authoring Develop interactive eLearning modules using tools like Articulate Storyline, Rise, Adobe Captivate, and Camtasia. Integrate multimedia and AI-generated assets into cohesive learning experiences. Ensure SCORM/xAPI compliance and seamless LMS integration. LMS Administration & Analytics Manage LMS operations including course setup, user management, and reporting. Upload and test SCORM/xAPI packages, troubleshoot issues, and support learners. Analyze learner engagement and performance data to inform content improvements. Qualifications: Experience in digital learning, instructional design, or multimedia production. Proficiency in: Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) eLearning tools (Articulate, Captivate, Camtasia) LMS platforms (e.g., Adobe learning Manager, Moodle,) Generative AI tools (Midjourney, Sora, TTS platforms) Strong understanding of adult learning principles, ID Excellent project management, communication, and collaboration skills.

Technical Skills: Advance Proficiency in Python programming. Design and develop prompt engineering techniques to optimize GenAI performance. Evaluate and select appropriate models, frameworks, and techniques for GenAI use case. Hands-on experience with frameworks such as Lang chain or llama Index. Knowledge of Streamlit and Fastapi. Familiarity in foundation models in AWS or Azure