119 Vector Databases Jobs - Page 4

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

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optimizing open-source LLMs for specific business domains, constructing and managing RAG pipelines using tools like LangChain, FAISS, and ChromaDB, as well as developing LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification. Additionally, you will be tasked with designing effective prompt templates and implementing chaining strategies to enhance LLM performance across various contexts. To excel in this role, you should possess a strong foundation in NLP fundamentals and deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, and familiarity with tools such as LangChain, FAISS, and ChromaDB. Proficiency in developing REST APIs to support ML models, expertise in Python programming with knowledge of libraries like PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems are also essential. Preferred qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment (AWS, GCP, Azure), and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to contribute to the latest developments in NLP and LLMs, we are excited to connect with you.,

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal services Collaborate across teams to bring autonomy into complex workflows Mentor and guide teams on the future of agentic AI Why Join Us? Work on the latest in AI/ML and agentic systems Engage with large-scale clients and impactful projects Thrive in a culture of innovation, learning & development Location: Noida Sec-126 l 5 Days work from Office Apply now: neha.sharma@innovationm.com

Position Lead Data Scientist JD Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks:TensorFlow, PyTorch, Keras Generative AI Models:GANs, VAEs, Transformers Agentic AI Tools:OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries:NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries:OpenCV, TensorFlow, PyTorch Total Experience 7-11 Yrs Relevant Experience 6+years Any Preferred Skills Must have Skills GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Role (Development/Support) Development Shift (General/Rotational) Timings General Max Budget 30 LPA Location Mumbai, Pune, Chennai, Noida, Bangalore Office Mode Hybrid

Role Overview: Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs). You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale. Key Responsibilities: Design and implement scalable ML systems, from experimentation to deployment. Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring. Lead the development and deployment of ML models across a variety of use cases including classical ML and LLM-based applications like summarization, classification, document understanding, and more. Define model training and evaluation pipelines, ensuring reproducibility and performance tracking. Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions. Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML. Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management. Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions. Mentor junior ML engineers and data scientists, and help scale the ML function across the organization. Required Qualifications: 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale. Proven experience with classical ML algorithms (e.g., regression, classification, clustering, ensemble models). Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain) and their integration into production workflows. Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow, PyTorch, or equivalent. Solid background in statistics and the ability to apply statistical thinking to real-world problems. Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL, Pandas, AWS Glue, etc.). Familiarity with cloud services (AWS preferred) and containerization tools (Docker, Kubernetes) is a plus. Strong communication and leadership skills, with experience mentoring and guiding junior team members. Self-starter attitude with a bias for action and ability to thrive in fast-paced environments. Masters degree in Machine Learning, Artificial Intelligence, Statistics, or a related field is preferred. Preferred Qualifications: Experience deploying ML systems in microservices or event-driven architectures. Hands-on experience with vector databases, embeddings, and retrieval-augmented generation (RAG) systems. Understanding of Responsible AI principles and practices. Why Join Us? Lead the ML charter in a mission-driven company solving real-world challenges. Work on cutting-edge LLM use cases and platformize ML capabilities for scale. Collaborate with a passionate and technically strong team in a high-impact environment. Competitive compensation, flexible working model, and ample growth opportunities. Work Location - Bangalore & Chennnai Interested candidates, please share your resume to lakshmi@vakilsearch.com

At OP, we are a people-first, high-touch organization committed to delivering cutting-edge AI solutions with integrity and passion. We are looking for a Senior AI Developer with expertise in AI model development, Python, AWS, and scalable tool-building. In this role, you will be responsible for designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. As a Senior AI Developer at OP, your key responsibilities will include developing and deploying AI models using Python and AWS for enterprise applications, building scalable AI-powered tools, designing and optimizing machine learning pipelines, implementing NLP and GenAI models, developing and integrating RAG systems for enterprise knowledge retrieval, maintaining AI frameworks and APIs, architecting cloud-based AI solutions using AWS services, writing high-performance Python code for AI applications, and ensuring scalability, security, and performance of AI solutions in production. The required qualifications for this role include 5+ years of experience in AI/ML development with expertise in Python and AWS, a strong background in machine learning and deep learning, experience in LLMs, NLP, and RAG systems, hands-on experience in building and deploying AI models in production, proficiency in cloud-based AI solutions, experience in developing AI-powered tools and frameworks, knowledge of mainframe integration and enterprise AI applications, and strong coding skills with a focus on software development best practices. Preferred qualifications for this role include familiarity with MLOps, CI/CD pipelines, and model monitoring, a background in developing AI-based enterprise tools and automation, and experience with vector databases and AI-powered search technologies. At OP, we offer health insurance, accident insurance, and competitive salaries based on various factors including location, education, qualifications, experience, technical skills, and business needs. In addition to the core responsibilities, you will also be expected to participate in OP monthly team meetings, contribute to technical discussions, peer reviews, and collaborate via the OP-Wiki/Knowledge Base, as well as provide status reports to OP Account Management as requested. OP is a technology consulting and solutions company that offers advisory and managed services, innovative platforms, and staffing solutions across various fields, including AI, cyber security, and enterprise architecture. Our team consists of dynamic, creative thinkers who are passionate about quality work, and as a member of the OP team, you will have access to industry-leading consulting practices, strategies, technologies, training, and education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.,

As an AI/ML Developer at our innovative organization, you will have the exciting opportunity to work on AI initiatives and contribute to the development of innovative solutions. Your key responsibilities will include developing and maintaining applications for AI and LLM projects, conducting data analysis to identify trends and insights for model improvement, designing, developing, and deploying machine learning models for various applications, optimizing algorithms for performance and scalability, and staying up-to-date with the latest advancements in AI. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science or a related field from a recognized university, with internship experience in AI or related fields being preferred. You should also have demonstrable experience in AI/ML programming and development, proficiency in working with OpenAI technologies and Vector Databases, experience with Large Language Models (LLMs), strong knowledge of LangChain, LLamaIndex, or any other framework, experience with API development and relational databases, excellent problem-solving skills, attention to detail, and the ability to work independently and in a team environment. Join us on this exciting journey to advance AI technology and utilize your skills in machine learning model development, LLM Index, vector databases, algorithm optimization, data analysis, OpenAI technologies, artificial intelligence, API development, large language models (LLMs), AI/ML programming, and relational databases to make a significant impact in the field of AI.,

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python as primary, with knowledge of JavaScript, SQL, and NodeJS being beneficial. You must have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and understanding of Generative AI models including LLMs. Expertise in designing and implementing efficient prompts for Generative AI is necessary, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers (Flask, Django, FastAPI) for scalable AI applications is required. You should also have previous experience in Generative AI application development, especially in designing prompts for LLMs. Knowledge of SQL and NoSQL databases like MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also a must. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications is also an advantage. You should hold a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. In addition to the required experience, skills in containerization technologies (Docker), AI/ML development, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, and API/ML are necessary for this role.,

We are looking for exceptional individuals to join our team at ScalePad as Head of AI Engineering. ScalePad is a prominent software-as-a-service (SaaS) company operating globally to provide Managed Service Providers (MSPs) with the tools and support needed to enhance client value in the ever-evolving IT landscape. As a member of our tech-management team, you will lead AI development initiatives, shape our AI strategy, and guide teams in creating impactful AI applications. This hands-on leadership role involves mentoring teams, improving developer productivity, and ensuring best practices in AI development, software engineering, and system design. Your responsibilities will include designing state-of-the-art AI applications, leveraging advanced techniques such as Machine Learning (ML), Large Language Models (LLMs), Graph Neural Networks (GNNs), and Retrieval-Augmented Generation (RAG). You will also focus on fostering an environment of responsible AI practices, governance, and ethics, advocating for AI-first product thinking, and collaborating with various teams to align AI solutions with business objectives. To excel in this role, you should possess strong technical expertise in AI, ML, software architecture principles, and have a proven track record of integrating AI advancements into engineering execution. Additionally, experience in AI governance, ethics, and managing globally distributed teams will be essential. We are seeking a curious, hands-on leader who is passionate about developing talent, driving innovation, and ensuring AI excellence within our organization. Joining our team at ScalePad will offer you the opportunity to lead the evolution of AI-driven products, work with cutting-edge technologies, and make a global impact by influencing AI-powered decision-making at an enterprise level. As a Rocketeer, you will enjoy ownership through our Employee Stock Option Plan (ESOP), benefit from annual training and development opportunities, and work in a dynamic, entrepreneurial setting that promotes growth and stability. If you are ready to contribute to a culture of innovation, collaboration, and success, we invite you to apply for this role. Please note that only candidates eligible to work in Canada will be considered. At ScalePad, we are committed to fostering Diversity, Equity, Inclusion, and Belonging (DEIB) to create a workplace where every individual's unique experiences and perspectives are valued. Join us in building a stronger, more inclusive future where everyone has the opportunity to thrive and grow.,

As a Senior AI Engineer at BlackLine, you will lead the development and deployment of enterprise-ready Generative AI solutions. You will have the opportunity to play a pivotal role in applying generative AI and automation technologies to solve real-world business challenges. Your responsibilities will include designing, fine-tuning, and deploying state-of-the-art Generative AI models to address enterprise-specific use cases such as knowledge management, customer support, personalized insights, and content generation. You will also collaborate with business stakeholders to identify high-impact opportunities for applying Generative AI and drive decisions on whether to build custom AI solutions or buy existing technologies. To excel in this role, you should possess a deep understanding of AI technologies, including vector databases and knowledge graphs. Your technical skills should include strong programming abilities in languages such as Python or Java, familiarity with cloud platforms like AWS Bedrock, Azure AI Studios, or Google Cloud Vertex AI, and experience with workflow or iPaaS solutions like Boomi, Workato, or Zapier. Furthermore, you should have expertise in data preprocessing, cleaning, and feature engineering, as well as familiarity with SQL and database systems. Your problem-solving and critical thinking abilities will be essential to define problems, analyze data, and propose innovative solutions. Adaptability and learning agility are also crucial in this fast-paced, rapidly evolving environment. Join BlackLine, a technology-based company with a vision for the future, where every door is open for individuals with problem-solving skills. Embrace the kind, open, and accepting culture that celebrates diversity and empowers growth and learning. Thrive in an environment that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture the unique talents of each team member. At BlackLine, be part of a winning team dedicated to modernizing the finance and accounting function with innovative solutions and services.,

As a Gen AI Engineer, you will be responsible for developing and implementing AI models using cutting-edge technologies such as GPT-4, ChatGPT, and Hugging Face Transformers. Your primary duties will involve designing and refining AI-generated text prompts, utilizing LangChain for various AI applications, and integrating LlamaIndex to enhance AI solutions. Furthermore, you will work with vector databases and cache databases to efficiently manage large-scale AI data, as well as develop and integrate multi-modal foundation models to support diverse AI applications. Your role will also include applying AI-specific utilities and data analysis methods to improve AI models, developing and managing LLM agents, and collaborating with cross-functional teams to integrate AI solutions into broader applications. To excel in this role, you should have proven hands-on experience with LangChain, proficiency in vector databases and cache databases, and familiarity with multi-modal foundation models and relevant frameworks. Additionally, expertise in designing AI-generated text prompts, using AI utilities such as ChatGPT and Hugging Face Transformers, and developing intelligent agents are essential qualifications. Strong problem-solving, analytical, communication, and collaboration skills are also required to succeed in this fast-paced and innovative environment. If you have a passion for AI technologies, a drive for innovation, and a desire to contribute to cutting-edge AI solutions, this role as a Gen AI Engineer in Indore/Pune could be the perfect opportunity for you.,

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.

We are hiring a Full Stack Developer with strong exposure to AI tools, APIs, and product development workflows. This role is for someone who can independently design, build, and deploy full-stack applications, and also integrate AI-powered components such as RSVP agents, recommendation systems, conversational flows, and automation tools. Responsibilities Build and maintain full-stack web apps using React, Node.js, Python Integrate AI/ML APIs like OpenAI, Cohere, LangChain, Pinecone, etc. Architect intelligent features using vector databases, RAG pipelines, and custom agent flows Work on both frontend + backend and own deployment, testing & CI/CD Collaborate closely with product & automation teams Must-Have Skills Strong proficiency in JavaScript/TypeScript, Python, Node.js Comfortable with NoSQL, PostgreSQL, Firebase, or Supabase Experience with API integrations, automation, and microservices Understanding of AI agentic flows, embeddings, and webhooks Experience deploying products on Vercel, Render, or similar Good to Have Familiarity with tools like LangChain, LlamaIndex, or OpenAI Assistants Working knowledge of Next.js, Tailwind CSS, and prompt engineering Work Culture Fully remote Flat structure Fast execution environment Product-first mindset

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

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant - MLOps Engineer! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments. Responsibilities Develop and maintain CI/CD pipelines for AI/ GenAI models on AWS using GitHub Actions and CodePipeline . (Not Limited to) Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc) Any cloud platform - Azure or AWS Package and deploy AI/ GenAI models on (SageMaker, Lambda, API Gateway). Write Python scripts for automation, deployment, and monitoring. Engaging in the design, development and maintenance of data pipelines for various AI use cases Active contribution to key deliverables as part of an agile development team Set up model monitoring, logging, and alerting (e.g., drift, latency, failures). Ensure model governance, versioning, and traceability across environments. Collaborating with others to source, analyse , test and deploy data processes Experience in GenAI project Qualifications we seek in you! Minimum Qualifications experience with MLOps practices. Degree/qualification in Computer Science or a related field, or equivalent work experience Experience developing, testing, and deploying data pipelines Strong Python programming skills. Hands-on experience in deploying 2 - 3 AI/ GenAI models in AWS. Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases. Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills Experience with Docker-based deployments. Exposure to model monitoring tools (Evidently, CloudWatch). Familiarity with RAG stacks or fine-tuning LLMs. Understanding of GitOps practices. Knowledge of governance and compliance policies, standards, and procedures Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations.

As a Data Scientist at Amdocs in Pune, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. Your role will involve hands-on experience in handling GenAI use cases and developing Databricks jobs for data ingestion for learnings. You will create partnerships with project stakeholders to provide technical assistance for important decisions and work on the development and implementation of Gen AI use-cases in live production as per business/user requirements. Your technical skills should include mandatory expertise in deep learning engineering (mostly on MLOps), strong NLP/LLM experience, and processing text using LLM. You should be proficient in Pyspark/Databricks & Python programming, building backend applications using Python and deep learning frameworks, and deploying models while building APIs (FAST API, FLASK API). Experience with working with GPUs, vector databases like Milvus, Azure cognitive search, and quadrant, as well as transformers and hugging face models like llama, Mixtral AI, and embedding models is essential. It would be good to have knowledge and experience in Kubernetes, Docker, cloud experience working with VMs and Azure storage, and sound data engineering experience. In this role, you will be challenged to design and develop new software applications, providing you with opportunities for personal growth in a growing organization. Your job will involve minimal travel and will be located in Pune. Join Amdocs and help build the future to make it amazing by unlocking innovative potential for next-generation communication and media experiences for end users and enterprise customers.,

Inviting applications for the role of Senior Principal Consultant - ML Engineers! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments. Responsibilities . Develop and maintain CI/CD pipelines for AI/GenAI models on AWS using GitHub Actions and CodePipeline. (Not Limited to) . Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc) . Any cloud platform- Azure or AWS . Package and deploy AI/GenAI models on (SageMaker, Lambda, API Gateway). . Write Python scripts for automation, deployment, and monitoring. . Engaging in the design, development and maintenance of data pipelines for various AI use cases . Active contribution to key deliverables as part of an agile development team . Set up model monitoring, logging, and alerting (e.g., drift, latency, failures). . Ensure model governance, versioning, and traceability across environments. . Collaborating with others to source, analyse, test and deploy data processes . Experience in GenAI project Qualifications we seek in you! Minimum Qualifications experience with MLOps practices. . Degree/qualification in Computer Science or a related field, or equivalent work experience . Experience developing, testing, and deploying data pipelines Strong Python programming skills. Hands-on experience in deploying 2 - 3 AI/GenAI models in AWS. Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases. . Clear and effective communication skills to interact with team members, stakeholders and end users Preferred Qualifications/ Skills . Experience with Docker-based deployments. . Exposure to model monitoring tools (Evidently, CloudWatch). . Familiarity with RAG stacks or fine-tuning LLMs. . Understanding of GitOps practices. . Knowledge of governance and compliance policies, standards, and procedures . . . . .

Seeking a GenAI Software Engineer with 5+ years’ experience to develop LLM-based applications, RAG, and AI agents. Must be skilled in LangChain, vector databases, and cloud-based AI deployment in agile teams. Required Candidate profile Experienced AI developer with expertise in GenAI, LLM apps, and RAG. Proficient in LangChain, vector DBs, and cloud AI services. Strong collaboration and agile development background preferred.

: Generative AI Engineer : 3 to 5 years : We are looking for a Generative AI Engineer with 3 to 5 years of hands-on experience in Retrieval-Augmented Generation (RAG), Agentic AI, and Data Pipelines. The ideal candidate will have real-time experience in developing and deploying AI-powered solutions, working with advanced language models, and optimizing AI workflows for production environments. : Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Build and manage data pipelines for processing, transforming, and feeding structured/unstructured data into AI models. Ensure scalability, performance, and security of AI-driven solutions in production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Conduct experiments and evaluations to improve AI system accuracy and efficiency. Stay updated with the latest advancements in AI/ML research, open-source models, and industry best practices. & : Hands-on experience with RAG architectures, including vector databases (e.g., Pinecone, ChromaDB, Weaviate, OpenSearch, FAISS). Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes). Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications. Strong understanding of vector search, embedding models, and hybrid retrieval techniques. Experience with optimizing inference and serving AI models in real-time production systems. -- : Experience with multi-modal AI (text, image, audio) and LLM fine tuning. Familiarity with privacy-preserving AI techniques and responsible AI frameworks. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation. ____________________________________________________________________________ "Python/Gen AI Developer" Experience: 5 to 8 Location: Coimbatore/Remote Notice Period: Immediate Joiners are Preferred : Design, develop, and fine-tune Large Language Models (LLMs) for various in-house applications. Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Build and manage data pipelines for processing, transforming, and feeding structured/unstructured data into AI models. Ensure scalability, performance, and security of AI-driven solutions in production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Conduct experiments and evaluations to improve AI system accuracy and efficiency. Stay updated with the latest advancements in AI/ML research, open-source models, and industry best practices. & : Strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases (e.g., Pinecone, ChromaDB, Weaviate, OpenSearch, FAISS). Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. Experience in Python web frameworks such as FastAPI, Django, or Flask. Experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes). Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications. Strong understanding of vector search, embedding models, and hybrid retrieval techniques. Experience with optimizing inference and serving AI models in real-time production systems. -- : Experience with multi-modal AI (text, image, audio). Familiarity with privacy-preserving AI techniques and responsible AI frameworks. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation. Role & responsibilities Preferred candidate profile

Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record.

Were Hiring: AI Developer | Generative AI, LLMs, Vision Models | Hybrid | 2 PM 11 PM Shift Are you passionate about building cutting-edge AI solutions? Join us at Xebia , where innovation meets impact. Were looking for an experienced AI Developer (5+ years) with strong expertise in Python, LLMs, vision models, and generative AI , ready to work on transformative projects using tools like Azure AI Studio, RAG frameworks, and vector databases . What We’re Looking For: Programming : Python (expert-level), REST APIs, Git AI/ML : TensorFlow / PyTorch, LLMs, vision models, generative AI Azure : Azure AI Studio, Azure Blob Storage, Event Hub, Kafka Frameworks : LlamaIndex, RAG, Agentic frameworks Power BI : Basic dashboards and visualizations Others : SharePoint integration, prompt engineering Responsibilities: Develop AI solutions focusing on LLMs, vision, and generative AI Build and optimize RAG apps using vector databases and LlamaIndex Integrate models with Azure services and create event-driven pipelines Collaborate with senior AI teams to troubleshoot, document, and innovate Stay updated with emerging tools and frameworks Must-Have Qualifications: Bachelor’s in CS, Data Science, or related field Minimum 5+ years of AI/ML experience with hands-on expertise in Gen AI and LLMs Strong Azure ecosystem experience Immediate joiners or those with max 15 days notice only Shift : 2 PM – 11 PM IST Work Mode : Hybrid (3 days a week) from any Xebia office Location : Open to candidates across India (Preferred: Chennai, Pune, Gurugram, Bhopal, Jaipur, Hyderabad or Bangalore) How to Apply: Please share your updated CV and the details below to vijay.s@xebia.com Full Name: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location: Notice Period / Last Working Day (if serving notice): LinkedIn URL: Primary Skill Set: Kindly apply only if you haven’t recently applied or are not in process for any Xebia roles. If this sounds like a match—or if you know someone who’d be a great fit—let’s connect! #HiringNow #AIDeveloper #GenerativeAI #LLM #AzureAI #PythonJobs #ImmediateJoiners #XebiaCareers