44 Vector Dbs Jobs

As an AI Engineer at YASH Technologies, you will play a crucial role in designing, developing, and deploying sophisticated machine learning models to solve complex business problems and drive impactful data-driven decisions. You will collaborate with cross-functional teams to deliver actionable insights and ensure the success of various projects. Key Responsibilities: - Build and deploy ML models for classification, regression, and clustering tasks. - Apply foundational GenAI concepts such as embeddings, summarization, and RAG. - Utilize APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). - Prepare documentation and interpret results effectively. Qualifications Required: - Strong hands-on experience in Python, Scikit-learn, Pandas. - Proficiency in model evaluation, feature engineering, and model tuning. - Exposure to LangChain and vector databases. - Basic understanding of FastAPI or Flask. At YASH, you will have the opportunity to shape your career in an inclusive team environment. We believe in continuous learning and provide the support needed for your growth and development. Our workplace is built upon principles of flexibility, transparency, collaboration, and a positive corporate culture. Join us in bringing real positive changes in the virtual world and drive business transformation.,

As a Senior Consultant at Kroll, you will be a part of the Decision Intelligence Services team, contributing to seamless analytical advisory services throughout the deal continuum. Your expertise in Artificial Intelligence, Machine Learning, Deep Learning, and LLM models for Generative AI, text analytics, and Python Programming will play a crucial role in scaling the Data, Analytics, and AI team. You will be responsible for offering industry/sector solutions and building automation tools to accelerate due diligence, data-driven insights, and optimization models. **Key Responsibilities:** - Build, review, and implement solutions using AI/GenAI, ML, and deep learning techniques, and develop APIs with Python - Handle large data volumes using the latest techniques and data tools - Work with advanced GenAI models like GPT 4, GPT 4o, Llama, and AI architecture leveraging vector DBs / RAG based approaches - Engage in buy/sell-side due diligence engagements, identifying value creation opportunities for analytics application - Deliver and manage mid to large size deals, ensuring smooth delivery on assigned engagements - Communicate effectively with cross-functional teams, coordinating between core functional and technology teams - Manage stakeholder relationships and lead mid-market deals from an analytics perspective - Prepare demo tools to be shared directly with clients - Engage directly with clients for delivery - Interpret data sets using statistical tools to identify trends and patterns - Uphold the firm's code of ethics and business conduct **Qualifications Required:** - Minimum 5-9 years of related work experience in developing and implementing AI/GenAI, ML models across industries - 2 years of experience with natural language generation/processing, LLM techniques, and familiarity with AI/ML frameworks - 4 years of experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services - Strong experience in statistical techniques, forecasting models, and Merger & Acquisition domain areas - Bachelor's degree in Engineering from a tier 1 college (Masters in Business/domain preferred) - Proficiency in programming languages like Python, analytics and data platforms like Azure, and business intelligence tools like PowerBI - Superior analytical, problem-solving, written, and verbal communication skills - Dedication to teamwork and flexibility to adapt to changing client demands - Desire to grow into a techno-functional consultant role Kroll, a global leader in risk and financial advisory solutions, offers a collaborative and empowering environment where you can propel your career to new heights. Join One Team, One Kroll, and contribute to building, protecting, restoring, and maximizing client value. Kroll is committed to equal opportunity and diversity, recruiting based on merit. Apply now via careers.kroll.com to be considered for this exciting opportunity.,

Role Overview: As an AI Prototyping Engineer at Veya Technologies Pvt Ltd, you will be responsible for building conversational and voice-based AI prototypes using GPT, LangChain, Whisper, and vector databases. Your role will involve working closely with the founders to develop MVPs, evaluate tools, and document technical demos. Key Responsibilities: - Develop prototypes such as Therapy Bot, Voice Coach, Interviewer Bot, Legal Advice Bot, and HR Bot. - Integrate GPT APIs, LangChain, embeddings, Whisper, and vector DBs. - Evaluate build vs. buy tools for efficiency. - Document PoCs, maintain Git, and collaborate on MVPs. Qualifications: - Bachelor's degree in CS, AI/ML, Engineering, or a related field. - 1 year of experience in projects/internships is acceptable. - Interest in AI tools and rapid prototyping. Additional Company Details: Veya Technologies Pvt Ltd is a dynamic company specializing in Embedded Systems, Networking, IoT, Cloud, Apps, and AI solutions. The company fosters innovation and provides opportunities to grow in a collaborative environment. Joining Veya Technologies offers hands-on work with cutting-edge AI tech, an internship certificate with the chance for a full-time role, direct collaboration with founders, and a growth-focused culture with hybrid flexibility.,

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: ? Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. ? Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. ? Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: -Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting -Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite -Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) -Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops -Strong in privacy-preserving AI (federated learning, differential privacy) -Secure real-time comms (WebRTC, SIP, RTP) Nice to have: -Experience with MCP or similar protocol frameworks -Background in wearables/XR or smart glass AI platforms -Expertise in platform security architectures (sandboxing, auditability) Show more Show less

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - **Mentoring Young Talents:** Mentoring the team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - **Quality Control:** Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - **Research and Development:** Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - **Cross-Functional Collaboration:** Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Crew AI, or similar. - Experience with other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with frameworks like ML Flow. - Experience with Docker containers and editing a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Publications and contributions to the AI research community are a plus. - Masters degree/Ph.D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

Design and deliver enterprise-scale application solutions. Lead architecture, coding, code reviews, testing, and deployment activities. Collaborate with cross-functional teams including Product, QA, and DevOps. Drive adoption of best practices in performance, security, and observability. Mentor junior engineers and support technical leadership initiatives. Must-Have Skills Python, PyTorch, TensorFlow, Scikit-learn, NLP, LLMs Good-to-Have Skills MLOps, Vector DBs Notice Period Immediate to 30 days (preferred).

Design and deliver enterprise-scale application solutions. Lead architecture, coding, code reviews, testing, and deployment activities. Collaborate with cross-functional teams including Product, QA, and DevOps. Drive adoption of best practices in performance, security, and observability. Mentor junior engineers and support technical leadership initiatives. Must-Have Skills Python, PyTorch, TensorFlow, Scikit-learn, NLP, LLMs Good-to-Have Skills MLOps, Vector DBs, Solution Architecture, Microservices, API Design, Domain-Driven Design Notice Period Immediate to 30 days (preferred).

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What you'll do: As a Senior/Staff Machine Learning Engineer, you'll be a technical leader helping architect, scale, and harden SAP's next generation of generative AI services. You'll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows-turning foundational model research into secure, production-ready enterprise solutions. Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services. Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale. Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP's GenAI Hub and third-party providers (e.g., Amazon Bedrock). Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs. Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond. Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability. Stay at the forefront of ML/AI trends and bring best practices into the team's architecture and execution. what you bring: 6+ years of professional experience in machine learning engineering, software engineering, or applied research roles. Deep proficiency in Python and familiarity with Go/TypeScript experience with distributed systems and orchestration frameworks. Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation. Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs). Proven track record of delivering production AI systems at scale. Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability. Experience mentoring engineers and shaping engineering culture Meet the team: The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research & Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP's Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows At SAP, senior engineers have the chance to define architecture and strategy for some of the world's most impactful enterprise AI services. You'll shape how businesses plan, build, and visualize with AI-while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP's AI innovations scale securely, reliably, and responsibly Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [HIDDEN TEXT] For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the . Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 432519 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Key Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Good software engineering foundation with the understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Experience with Big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. Experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Excited to grow your career At Citi, we are not just building technology, we are shaping the future of banking. Our diverse teams, encompassing a wide range of specialties, roles, and cultures, are dedicated to creating innovative solutions utilized globally. As one of the world's leading banks, Citi is at the forefront of transforming the way business is conducted worldwide. If you believe this position aligns with your career aspirations, we welcome you to apply! Finance, Markets and Credit Risk Technology at Citi plays a crucial role in enabling the bank to achieve its day-to-day operations and long-term growth objectives. Through the provision of services, technical solutions, and infrastructure, our technology solutions ensure compliance with regulatory requirements and empower our businesses to thrive in both the current and future landscapes. In the realm of Finance, Market, and Credit Risk Technology (FMCRT), we are at the forefront of technological advancements. Our products and initiatives adhere to Citis strategic architecture principles, facilitating seamless integration of various global functions within the bank, including Finance, Risk, and Controllers. About the Role: We are seeking a motivated and detail-oriented GenAI Solutions Developer with expertise in Python to join our development team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions, working with LLMs, GenAI APIs, and optimizing them for real-world applications. Responsibilities: - Hands-on development of Application and BackEnd services to ensure reliability, security, and scalability. - Conduct thorough code reviews to ensure adherence to best practices in readability, performance, and security. - Implement secure coding practices, perform vulnerability assessments, and ensure compliance with security standards. - Collaborate effectively in agile environments, embracing DevOps principles and fostering a culture of continuous delivery and improvement. - Drive the adoption of modern engineering practices, including Agile, DevOps, and CI/CD. - Responsible for various data and business process automation projects, troubleshooting, enhancements, and builds. - Routine operational or administrative work. - Daily delivery of routine outputs while developing a broader understanding of the work context. Qualifications: - Minimum 8 years of experience as a Python or Backend Developer. - Strong proficiency in Python and frameworks such as Flask, Django, Pandas, etc. - Hands-on experience with LLMs and related technologies. - Experience designing DB-driven applications and using ORM such as SQLAlchemy. - Exposure to SQL/PL-SQL, RDBMS, or other database systems. - Experience with Kubernetes. - Ability to think strategically and engage resources to achieve objectives. - Good understanding of banking domain and consumer products preferred. - Documentation experience for complex software components. - Experience in product lifecycle implementation. - Bachelor's/Master's degree in computer science or engineering. This job description provides an overview of the work performed. Other job-related duties may be assigned as required. Citi is an equal opportunity and affirmative action employer, inviting all qualified and interested applicants to apply for career opportunities.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. As an AI Engineer at EY, your role involves leading the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to drive innovation and solve complex business challenges. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes. Additionally, you will work on developing and deploying machine learning algorithms, ensuring that models are optimized for performance and scalability. In this position, you will also have the opportunity to mentor and guide junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools. Collaboration with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact, is a key aspect of this role. Key Responsibilities: - Implementing AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. - Reviewing complex data sets to establish data quality and identifying where data cleansing is required for data remediation. - Designing and implementing data models to manage data within the organization. - Migrating data from one system to another using multiple sources and identifying and implementing storage requirements. - Analyzing the latest trends such as cloud computing and distributed processing, and their applications in business to build industry knowledge. - Peer reviewing models and collaborating with relevant business areas to ensure they are fit for the designed purpose. - Automating essential infrastructure for the data science team. - Staying up-to-date with AI trends and suggesting improvements to existing systems and workflows. Skills and Attributes for Success: - 8+ years of experience in machine learning, large scale data acquisition, transformation, and cleaning, for both structured and unstructured data. - Experience with generative LLM fine-tuning and prompt engineering. - Proficiency in data wrangling, visualization, and modeling in Python. - Experience in ML/NLP algorithms, including supervised and unsupervised learning. - Good knowledge of cloud ecosystems, with preference for experience in Azure. - Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib). - Strong programming skills in Python. - Experience with tools in distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus. - Experience with SQL, Document DBs, and Vector DBs. - Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period. - Data Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization. - Knowledge of containerization platforms like Docker is a plus. - Experience with Git and modern software development workflow. Non-Technical Skills: - Strong team and business communication skills to effectively communicate with technical clients or explain complex concepts to non-technical individuals. - Ability to thrive in a fast-paced environment and work independently. - Excellent communication skills. Education: - Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields preferred. What we look for: - Strong analytical skills and problem-solving ability. - A self-starter, independent-thinker, curious, and creative person with ambition and passion. - Excellent inter-personal, communication, collaboration, and presentation skills. - Customer-focused. - Excellent time management skills. - Positive and constructive mindset. - Takes responsibility for continuous self-learning. - Takes the lead and makes decisions in critical times and tough circumstances. - Attention to detail. - High levels of integrity and honesty. EY | Building a better working world EY exists to build a better working world, helping create long-term value for clients, people, and society while building trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Requirements 45 years of experience as an ML Engineer or Applied Scientist in production Strong Python skills (FastAPI/Flask), with PyTorch or TensorFlow Proficient in building data pipelines and deploying ML systems Experience with LLMs, embeddings, RAG systems, and vector DBs (PGVector/Postgres preferred) Hands-on with multiple LLM providers (OpenAI, Anthropic, Google, open-source) Knowledge of containerization and deployment (Docker, Kubernetes, AWS/GCP, CI/CD) Bonus: Familiarity with LangGraph/LangChain, vLLM, Ray, LLM eval tools, or event-driven systems Responsibilities Build and scale ML pipelines for Novas AI teammates Implement agentic AI workflows with LLMs and orchestration frameworks Design and optimize RAG pipelines for performance and accuracy Build connectors to integrate AI with external systems Fine-tune models for domains like finance, legal, and tax Monitor model performance, optimize for cost, latency, and reliability Lead best practices for scalable, production-grade ML Job Details Location: Mulund, Mumbai Interview process Round 1: Technical screening Round 2: ML System Design Round 3: Coding and Hands-on Evaluation Round 4: Cultural Fit and Founder Discussion Show more Show less

As an AI-first product studio dedicated to assisting startups in delivering cloud-native features efficiently, Eagerminds is seeking a Full-Stack Engineer who is passionate about developing fast, clean, and scalable web applications. If you are enthusiastic about working at the convergence of code, cloud, and AI, we are excited to connect with you. Your Responsibilities: - Designing, developing, and maintaining APIs and backend systems utilizing Node.js - Creating relational data models and optimizing queries in PostgreSQL - Collaborating closely with frontend and DevOps teams to deliver comprehensive features - Adhering to best practices in code quality, performance, and security - Implementing new AI functionalities into real-world web applications - Debugging in production environments and enhancing application performance continuously Your Qualifications: - 3-4 years of full-stack experience with a strong focus on backend development - Proficiency in Node.js, Express/Nest frameworks, and PostgreSQL - Hands-on experience with REST/GraphQL APIs and CI/CD workflows - Familiarity with Git, testing methodologies, and basic frontend knowledge (React/Next is a plus) - Demonstrated traits of curiosity, quick learning, and effective communication skills in English/Hindi/Gujarati Preferred Qualifications: - Familiarity with AWS services such as Lambda, RDS, ECS, and IAM - Knowledge of TypeScript, Prisma, or any ORM experience - Exposure to LLMs, vector DBs, or OpenAI tools - Experience in building and deploying production applications from scratch Why Eagerminds: - Direct impact: Your code will be in the hands of users within the same week - Collaborative team: Join a close-knit team working on cutting-edge AI and AWS products without bureaucratic hurdles - Competitive compensation: Enjoy a competitive salary along with performance bonuses - Perks: Benefit from a MacBook, 27" monitor, flexible on-site hours, Friday demos, and a learning stipend To Apply: Please email your resume, GitHub/projects, and expected CTC to admin@eagerminds.io with the subject line: Full-Stack Engineer [Your Name].,

Position: Gen AI Engineer (React + Node) Experience: 6-8 Years Location: Pune Hybrid Responsibilities: Design & deliver AI-first features (contract summarization, semantic search, guided workflows). Integrate LLMs (OpenAI, Anthropic, Mistral) using LangChain, LlamaIndex, or custom orchestration. Build RAG pipelines & embedding-based search with vector DBs (Pinecone, Weaviate, pgvector). Rapidly prototype & optimize prompts, models, and workflows. Work across stack React (UI), Node.js & Python (AI workflows). Skills Required: Strong in React, Node.js, Python. Hands-on with LLMs, LangChain/LlamaIndex, and vector DBs. Experience with RAG, semantic search, CI/CD, Agile/DevOps.

Join us at Barclays in the role of Strategic Adoption AI Engineer, where you will be tasked with enhancing existing processes, reporting, and controls to ensure flawless execution of BAU. Your responsibilities will include driving efficiencies, implementing process improvements, and standardizing processes across SBUs wherever feasible. At Barclays, we not only anticipate the future but also actively participate in creating it. To excel in this role, you should possess the following skills: - Proficient programming abilities in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. - Familiarity with automation tools like Jenkins, GitHub Actions, or GitLab CI/CD for streamlining ML pipelines. - Strong knowledge of Docker and Kubernetes for facilitating scalable deployments. - Extensive experience with various AWS services like SageMaker, Bedrock, Lambda, CloudFormation, Step Functions, S3, and IAM. - Managing infrastructure for training and inference using AWS S3, EC2, EKS, and Step Functions. - Expertise in Infrastructure as Code tools like Terraform, AWS CDK. - Familiarity with model lifecycle management tools such as MLflow, SageMaker Model Registry. - Solid understanding of applying DevOps principles to ML workflows. Additionally, valuable skills may include: - Experience with Snowflake and Databricks for collaborative ML development and scalable data processing. - Knowledge of data engineering tools like Apache Airflow, Kafka, Spark. - Understanding of model interpretability, responsible AI, and governance. - Contributions to open-source MLOps tools or communities. - Strong leadership, communication, and cross-functional collaboration skills. - Understanding of data privacy, model governance, and regulatory compliance in AI systems. - Exposure to LangChain, Vector DBs like FAISS, Pinecone, and retrieval-augmented generation (RAG) pipelines. Your assessment may focus on critical skills essential for success in this role, including risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. This position is located at our Pune office. **Purpose of the role:** To design, develop, and enhance software solutions using various engineering methodologies to provide business, platform, and technology capabilities for our customers and colleagues. **Accountabilities:** - Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools. Ensure scalability, maintainability, and performance optimization of the code. - Collaborate with product managers, designers, and engineers to define software requirements, devise solution strategies, and integrate them seamlessly with business objectives. - Engage in peer collaboration, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay updated on industry technology trends, contribute to organizational technology communities, and foster technical excellence and growth. - Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implement effective unit testing practices to ensure proper code design, readability, and reliability. **Assistant Vice President Expectations:** - Provide advice and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team in performing complex tasks, using professional knowledge and skills to impact the entire business function. Set objectives, coach employees, appraise performance, and determine reward outcomes. - Demonstrate clear leadership behaviours to create an environment for colleagues to thrive and deliver excellent results. The four LEAD behaviours are: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.,

You are a talented and experienced Senior AI Developer with over 5 years of professional experience. You have a diverse skill set covering front-end, back-end, AI engineering, cloud technologies, and databases. Your expertise includes working with technologies such as React, Typescript, and Chakra-UI for front-end development, Python, Fast API, and Pydantic for back-end frameworks, and AI frameworks like TensorFlow or PyTorch for artificial intelligence engineering. In your role, you will be responsible for developing and maintaining scalable front-end applications, designing robust back-end solutions, and implementing AI solutions to fine-tune machine learning models. You will collaborate with cloud services using AWS for application deployment and management, as well as design and manage databases ensuring data integrity and optimization. You possess a Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. Additionally, you have proven experience as a Data Scientist with a track record of delivering impactful data-driven solutions. Your strong problem-solving skills and ability to think critically enable you to develop innovative solutions, while your excellent communication and collaboration skills allow you to effectively convey complex technical concepts to various stakeholders. Your experience working in Agile methodologies within distributed teams showcases your ability to collaborate effectively and deliver results. Your attention to detail and the capability to manage multiple projects simultaneously set you apart as a reliable and independent contributor. Overall, your expertise in AI development, cloud technologies, and database systems make you a valuable asset to our dynamic team.,

As a Python Engineer at NextBurb, you will be responsible for building robust Python-based systems to process and analyze real estate data at scale. You will have the opportunity to apply LLMs and AI tools to rank properties, recommend neighborhoods, and personalize user experiences. Additionally, you will automate data flows, web scraping, API integrations, and enrichment pipelines, connecting to tools like Zillow, Google Maps, Vector DBs, and CRM APIs + Real Estate MLS. Furthermore, you will contribute to building internal tools that enable the team to work more efficiently, from dashboards to data validators. To excel in this role, you should have at least 2 years of professional experience, although recent graduates and self-taught developers are also welcome. Proficiency in Python and a keen interest in data, automation, and applied AI are essential. Experience with LLM APIs (such as OpenAI, Claude), vector databases, or tools like LangChain will be advantageous. You should enjoy solving complex data problems and writing clean, modular code. Exposure to FastAPI, Postgres, Redis, or frontend technologies like React would be considered a bonus. At NextBurb, you will have the opportunity to earn in USD with performance-based annual bonuses. You will benefit from remote work flexibility, allowing you to manage your own time and workspace. Your work will have a direct impact on the business as you will see your contributions go live and drive business outcomes. Working at NextBurb means collaborating directly with technical founders in a high-trust, no-BS team environment. If you are a dynamic individual who is passionate about working with cutting-edge technology, enjoys fast-paced environments, and is fluent in AI tools, then apply now or share this opportunity with someone who would be a perfect fit for this role at NextBurb.,

Enterpret is a cutting-edge company specializing in AI-native applications that harness the potential of customer feedback to benefit businesses. By consolidating feedback from various sources, Enterpret transforms it into actionable insights that drive customer-centric decisions for teams at renowned companies such as Perplexity, Notion, Canva, and Figma. With the support of notable investors like Kleiner Perkins and Peak XV, Enterpret is revolutionizing how businesses comprehend and respond to the voice of their customers. As the LLMOps Architect at Enterpret, you will play a pivotal role in fine-tuning LLM models, managing prompts, conducting evaluations, optimizing for cost efficiency, and speed optimization both during the experimentation phase and in the production environment. This is a foundational role that entails high ownership, where you will collaborate closely with the OpenAI, Anthropic, and AWS teams to construct top-tier ML infrastructure. Working in tandem with ML researchers, backend engineers, and product teams, you will ensure the resilience, security, and cost-effectiveness of Enterpret's AI systems as the company experiences exponential growth. Key success factors include enhancing the speed of experimentation, reducing time to productionization, and elevating the quality of models. Reporting directly to the CTO, you will be responsible for several critical tasks. You will design and enhance Enterpret's ML platform utilizing AWS, Terraform, OpenAI, and Anthropic for training, serving, and retraining encoders and LLM models. Additionally, you will develop CI/CD pipelines tailored for ML, deploy and manage model serving systems for real-time inference and batch pipelines, establish observability for model performance and data drift, lead incident response and postmortems for ML systems, optimize cloud usage for ML workflows, implement governance and security measures, work on productionizing AI models, evaluate tools for model registry, feature stores, and orchestration, champion MLOps best practices, and mentor engineers. The ideal candidate for this role should possess a minimum of 6 years" experience in MLOps and ML infrastructure, with expertise in AWS, infrastructure-as-code, container orchestration, strong Python skills, hands-on experience with CI/CD systems, proficiency in monitoring and maintaining production ML systems, cloud cost optimization knowledge, familiarity with model serving stacks and experimentation tools, and a track record of mentoring and taking ownership of systems in production. Additionally, a passion for automation, proficiency with AI coding agents, and exposure to GenAI workflows and responsible AI practices are desirable. Enterpret offers a compelling opportunity to work at the heart of ML, take early ownership of impactful projects, collaborate with a talented team, operate in a focused and fast-paced environment, and enjoy competitive compensation, meaningful equity, comprehensive healthcare benefits, generous leave policies, and a team-centric culture built on trust and ownership. At Enterpret, we prioritize a culture of ownership, teamwork, personal care, constructive feedback, humility, continuous learning, and improvement. We are committed to providing equal opportunities for all individuals.,

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. SAIGroup invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAIGroup's latest investment, JazzX AI, is a pioneering technology company on a mission to shape the future of work through an AGI platform purpose-built for the enterprise. JazzX AI is not just building another AI toolit's reimagining business processes from the ground up, enabling seamless collaboration between humans and intelligent systems. The result is a dramatic leap in productivity, efficiency, and decision velocity, empowering enterprises to become pacesetters who lead their industries and set new benchmarks for innovation and excellence. As a Principal AGI Solutions Architect at JazzX AI, you will operate at the intersection of deep technical leadership and high-stakes client engagement. You will own solution architecture and technical delivery for marquee customers, ensuring that JazzX's AGI platform unlocks measurable business value. Your role will involve guiding multi-disciplinary squads from discovery through full production rollout and shaping the platform roadmap with field feedback to drive features that accelerate time-to-value and differentiate JazzX in the market. You will be responsible for designing end-to-end architectures that integrate JazzX's AGI services with client data sources, APIs, and security controls. Additionally, you will define scalability, resilience, compliance, and observability patterns while leading technical design reviews and steering decisions on cloud, data, and AI frameworks. Running the full delivery lifecycle, including discovery, PoC, pilot, production, and hyper-care, you will balance speed with robust engineering practices and establish repeatable deployment playbooks for field teams to apply across industries. In this role, you will translate business problems into AGI solutions, articulate trade-offs, and build trusted-advisor relationships with technical and non-technical leaders. You will deliver roadmap briefs, architecture artifacts, and demo sessions while managing risk, scope, and timeline. As a technical leader, you will coach engineers across JazzX in AGI best practices, code quality, security, and DevOps, fostering a culture of experimentation and continuous learning. To be successful in this position, you must have 10-12 years of software engineering experience, with at least 5 years in staff/principal or solution architect roles. You should have a proven record of delivering large-scale, low-latency distributed systems and deep knowledge of cloud-native, container-orchestrated architectures. Hands-on experience with LLM/AI frameworks and expertise in integrating various technologies are essential. Outstanding client-facing communication, executive-level presentation, and stakeholder-management skills are also required. If you have a passion for solving high-impact problems, a startup mentality, and a team-oriented approach, this role offers you the opportunity to join a foundational team that is pushing the boundaries of what's possible in creating an autonomous intelligence-driven future. JazzX AI encourages bold ideas, continuous learning, and embraces the challenges and rewards of building something truly innovative. Join us in pioneering solutions that have the potential to transform industries and redefine how we interact with technology.,

As a Developer at our company, you will have the opportunity to contribute to building something significant. We value skills and passion over formal education or previous experience. If you have the talent, drive, and a mindset focused on execution, we want you on our team. It's important to note that this is not a salaried position initially; instead, it is equity-based. You will play a crucial role as a founding team member, not just an employee. Your responsibilities will include actively participating in the development of Hustlr AI from its Minimum Viable Product (MVP) stage to a full Software as a Service (SaaS) product. Our work environment may seem chaotic, but it is a chaos with a clear mission. We value honesty and direct communication - no sugar-coating, both with our users and within the team. We prioritize real progress over empty achievements; every action should contribute towards our goals. Having an ownership mindset is crucial in our team - we expect you to take full responsibility for your work without constant guidance. Speed and adaptability are key traits; we believe in quick iterations, learning from failures, and continuous improvement. Your skills in full-stack development, including React/Next.js, Node.js, and Firebase/DB, as well as knowledge in AI/ML technologies such as working with LLMs like OpenAI, fine-tuning, and various AI models are essential. A product-oriented mindset is valued, focusing not only on code but also on user experience, scalability, and product-market fit. While not mandatory, skills in cloud deployment (AWS/GCP/Azure, Docker), experience in startups or SaaS businesses, and a good sense of UI/UX design are considered advantageous. We are more interested in your abilities and dedication than your past experiences. If you are passionate about building something impactful and possess the necessary skills, we encourage you to apply. However, if you lack the drive and commitment to contribute to something big, this opportunity may not be the right fit for you.,

Job Description Role Summary We are seeking a Generative AI/ML Engineer to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing. You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems. Key Responsibilities Design, develop, and fine-tune LLM-powered applications for enterprise use cases. Experience in evaluating LLM applications and developing observability frameworks Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies. Build agentic AI workflows with multi-step reasoning, tool calling, and integration with APIs. Integrate GenAI solutions into multi-cloud or hybrid cloud environments (AWS, Azure, GCP). Develop and optimize edge AI deployments for low-latency use cases. Create data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines for AI ingestion, preprocessing, and governance. Implement AI safety, bias mitigation, and compliance measures. Work closely with LLMOps teams to enable continuous integration & deployment of AI models. Write well-documented, production-ready code in Python, Node.js, Rust . Benchmark and evaluate model performance , latency, and cost-efficiency. Required Skills Proficient in cloud AI services (e.g. AWS Bedrock/SageMaker, Azure AI Foundry, Google Vertex AI, Anthropic, OpenAI APIs). Strong proficiency with Python and LLM frameworks (e.g. PromptFlow, LangGraph, LlamaIndex, HuggingFace, PyTorch, TensorFlow). Hands-on experience with vector DBs (e.g. Pinecone, Weaviate, Milvus, FAISS, Azure Cognitive Search). Experience building RAG-based and agentic AI solutions. Familiarity with Edge AI frameworks (e.g. NVIDIA Jetson, AWS IoT Greengrass, Azure Percept). Multi-modal AI (text, image, speech, video) experience. Strong grasp of APIs, microservices, and event-driven architectures . Knowledge of AI governance (data privacy, model explainability, security). Experience in containerized deployments (Docker, Kubernetes, serverless AI functions). Preferred Skills Generative agents with memory and planning capabilities . Real-time AI streaming with WebSockets or Kafka. Prior contributions to open-source GenAI projects . Experience in build, test and deploy various ML models Experience in building MCP, A2A protocol Show more Show less

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with framework like ML Flow. - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

As an MLOps Engineer at Barclays, you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions. Your main focus will be on ensuring scalable, secure, and efficient deployment across the infrastructure. Collaborating closely with data scientists, ML engineers, and business stakeholders, you will build and maintain robust MLOps pipelines. These pipelines will enable rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To excel in this role, you should have strong programming skills in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. Additionally, familiarity with automation tools like Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines is essential. Proficiency in Docker and Kubernetes for scalable deployments, along with deep experience in utilizing AWS services like SageMaker, Bedrock, Lambda, and CloudFormation, is crucial. Your responsibilities will also involve managing infrastructure for training and inference using AWS services such as S3, EC2, EKS, and Step Functions. Experience with Infrastructure as Code tools like Terraform and AWS CDK, as well as model lifecycle management tools like MLflow and SageMaker Model Registry, will be beneficial. Understanding DevOps principles applied to ML workflows is key to success in this role. Additionally, highly valued skills may include experience with Snowflake, Databricks for collaborative ML development, and knowledge of data engineering tools like Apache Airflow, Kafka, and Spark. An understanding of model interpretability, responsible AI, and governance will further enhance your contributions. Involvement in open-source MLOps tools or communities, strong leadership, communication, and cross-functional collaboration skills, as well as knowledge of data privacy, model governance, and regulatory compliance in AI systems, will be advantageous. This role is based out of Pune and aims to build and maintain infrastructure platforms and products that support applications and data systems. Your accountability will involve developing, delivering, and maintaining high-quality infrastructure solutions that meet business requirements. You will play a crucial role in incident management, automation, security implementation, teamwork, and continuous learning to ensure the reliability, availability, and scalability of systems and platforms. If you are an Assistant Vice President in this role, you will be expected to advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. Collaboration with other functions/business divisions, leadership of complex tasks, and coaching employees towards objectives will be part of your responsibilities. For individual contributors, leading collaborative assignments, guiding team members, identifying new directions for projects, and consulting on complex issues will be key tasks. All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive.,

You should have 6-8 years of experience in the Creator Economy, AI Video Tools domain. You will be responsible for developing, testing, and deploying LLM-driven agents to automate content strategy, scriptwriting, and moderation. Additionally, you will implement Agentic workflows using frameworks like LangChain, LangGraph, or CrewAI. Your role will involve designing real-time script analyzers to flag and intercept deepfake/misuse risks, integrating voice cloning, avatar generation APIs, and safety intercept logic, and building structured conversation memory, action plans, and tool calling agents for video planning. Collaboration with the backend team to expose agent actions via API will also be part of your duties. To excel in this role, you should possess strong Python skills with experience in AI orchestration frameworks and be hands-on with OpenAI, Anthropic, LLama, or Mistral APIs. Experience with vector DBs such as FAISS or Weaviate for content memory is required. A deep understanding of prompt engineering, function calling, RAG, or agent autonomy is essential. You should also have awareness of deepfake, safety, or fairness risks in generative AI. It would be advantageous to have experience with HuggingFace, LangGraph, or Guardrails AI.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development And Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation And Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration And Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical And Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory Skill Set: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. Preferred Skill Set: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Year Of Experience Required: 9-12 years Education Qualification BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting + 29 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less