4010 Openai Jobs - Page 27

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Job Title: Python Backend Engineer – AWS | GenAI & ML Experience: 5 Years Employment Type: Full-Time Job Summary: We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus. Key Responsibilities: Design, develop, and maintain Python-based backend systems and AI-powered services. Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration. Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Implement GenAI pipelines using Langchain; LangGraph experience is a plus. Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment. Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production. Build and manage CI/CD pipelines for backend and model deployments. Ensure performance, scalability, and security of applications in cloud environments. Monitor production systems, troubleshoot issues, and optimize model and API performance. Required Skills and Experience: 5 years of hands-on experience in Python backend development. Strong experience building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc. Solid understanding of ML/AI concepts and model deployment practices. Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Langchain for building GenAI applications. Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform. Good understanding of microservices architecture and CI/CD workflows. Agile development experience. Nice to Have: Experience with LangGraph for agentic workflows or graph-based orchestration. Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS). Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Understanding of MLOps tools and practices for model monitoring, versioning, and retraining. Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 9966550640

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Overview: We are looking for a highly motivated and curious Python Developer who can work on developing automation frameworks and Gen AI aided tools to enhance productivity of our Engineers. This role will involve working on cutting-edge internal tools and R&D initiatives leveraging modern advancements including Generative AI and Large Language Models (LLMs). Main Duties / Responsibilities: Develop and maintain TAF (Test Automation Framework) which is in Django, Ninja, React-JS Develop, integrate and maintain LLM-based applications and tools using Python. Work on prompt engineering, model fine-tuning, and API-based integrations (e.g., OpenAI, Hugging Face). Contribute to the development of Retrieval Augmented Generation (RAG) systems. Assist in preparing datasets and pipelines for training and inference. Prototype AI-powered features, assistants, or copilots for internal use cases. Collaborate closely with team members in iterative development and research-driven experimentation. Essential Skills & Qualifications: Must have skills Working experience of 1-3 years. Strong programming skills in Python. Experience in Python, Django, Ninja, GenAI-APIs, LLMS, prompt-engineering Good problem-solving skills and an analytical mindset. Curiosity and eagerness to learn emerging technologies and put them into action. Ability to collaborate effectively in a team setting. Nice to have skills Familiarity with libraries/frameworks like LangChain, Hugging Face Transformers, PyTorch, or TensorFlow. Experience with GenAI tools and APIs (e.g., OpenAI, Cohere, Anthropic). Exposure to MCP Personal or academic projects involving LLMs or generative models. Participation in AI/ML hackathons or competitions. Active GitHub portfolio or contributions to open-source AI projects. Exposure to AWS services Why join us? We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day. Be rewarded for your efforts We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration. Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply .

Gen-AI Tech Lead - Enterprise AI Applications About Us We're a cutting-edge technology company building enterprise-grade AI solutions that transform how businesses operate. Our platform leverages the latest in Generative AI to create intelligent applications for document processing, automated decision-making, and knowledge management across industries. Role Overview We're seeking an exceptional Gen-AI Tech Lead to architect, build, and scale our next-generation AI-powered enterprise applications. You'll lead the technical strategy for implementing Large Language Models, fine-tuning custom models, and deploying production-ready AI systems that serve millions of users. Key Responsibilities - AI/ML Leadership (90% Hands-on) Design and implement enterprise-scale Generative AI applications using custom LLMs or (GPT, Claude, Llama, Gemini) Lead fine-tuning initiatives for domain-specific models and custom use cases Build and optimize model training pipelines for large-scale data processing Develop RAG (Retrieval-Augmented Generation) systems with vector databases and semantic search Implement prompt engineering strategies and automated prompt optimization Create AI evaluation frameworks and model performance monitoring systems Enterprise Application Development Build scalable Python applications integrating multiple AI models and APIs Develop microservices architecture for AI model serving and orchestration Implement real-time AI inference systems with sub-second response times Design fault-tolerant systems with fallback mechanisms and error handling Create APIs and SDKs for enterprise AI integration Build AI model version control and A/B testing frameworks MLOps & Infrastructure Containerize AI applications using Docker and orchestrate with Kubernetes Design and implement CI/CD pipelines for ML model deployment Set up model monitoring, drift detection, and automated retraining systems Optimize inference performance and cost efficiency in cloud environments Implement security and compliance measures for enterprise AI applications Technical Leadership Lead a team of 3-5 AI engineers and data scientists Establish best practices for AI development, testing, and deployment Mentor team members on cutting-edge AI technologies and techniques Collaborate with product and business teams to translate requirements into AI solutions Drive technical decision-making for AI architecture and technology stack Required Skills & Experience Core AI/ML Expertise Python : 5+ years of production Python development with AI/ML libraries LLMs : Hands-on experience with GPT-4, Claude, Llama 2/3, Gemini, or similar models Fine-tuning : Proven experience fine-tuning models using LoRA, QLoRA, or full parameter tuning Model Training : Experience training models from scratch or continued pre-training Frameworks : Expert-level knowledge of PyTorch, TensorFlow, Hugging Face Transformers Vector Databases : Experience with Pinecone, Weaviate, ChromaDB, or Qdrant Technical StackAI/ML Stack Models : OpenAI GPT, Anthropic Claude, Meta Llama, Google Gemini Frameworks : PyTorch, Hugging Face Transformers, LangChain, LlamaIndex Training : Distributed training with DeepSpeed, Accelerate, or Fairscale Serving : vLLM, TensorRT-LLM, or Triton Inference Server Vector Search : Pinecone, Weaviate, FAISS, Elasticsearch Infrastructure & DevOps Containerization : Docker, Kubernetes, Helm charts Cloud : AWS (ECS, EKS, Lambda, SageMaker), GCP Vertex AI Databases : PostgreSQL, MongoDB, Redis, Neo4j Monitoring : Prometheus, Grafana, DataDog, MLflow CI/CD : GitHub Actions, Jenkins, ArgoCD Professional Growth Work directly with founders and C-level executives Opportunity to publish research and speak at AI conferences Access to latest AI models and cutting-edge research Mentorship from industry experts and AI researchers Budget for attending top AI conferences (NeurIPS, ICML, ICLR) Ideal Candidate Profile Passionate about pushing the boundaries of AI technology Strong engineering mindset with focus on production systems Experience shipping AI products used by thousands of users Stays current with latest AI research and implements cutting-edge techniques Excellent problem-solving skills and ability to work under ambiguity Leadership experience in fast-paced, high-growth environments Apply now and help us democratize AI for enterprise customers worldwide. Job Type: Full-time Pay: ₹900,000.00 - ₹1,600,000.00 per year Schedule: Monday to Friday Supplemental Pay: Performance bonus

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

Work Flexibility: Hybrid AI Manager As an AI Manager at Stryker, you will drive innovation by contributing to the full Software Development Lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI initiatives while providing essential technical leadership. Leveraging Microsoft-based technologies including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service you will develop scalable, stable, and secure AI solutions that align with business needs and operational efficiency objectives. Your combined expertise in AI and leadership will guide and inspire cross-functional teams toward successful AI deployments. What you will do: Team Leadership & Citizen Development: Lead and mentor the cross-functional AI team while defining and executing a citizen development strategy to empower business users. Requirement Analysis: Gather and translate AI requirements to ensure alignment with business objectives. Solution Development & Implementation: Oversee the end-to-end delivery of AI solutions, from data integration to deployment. Platform Support: Support AI platforms for performance, reliability, and seamless integration. Security & Compliance: Enforce data privacy, security best practices, and governance throughout the AI lifecycle. Architecture Design: Collaborate on creating scalable, secure AI architectures that balance performance and cost-effectiveness. Quality Assurance & Testing: Develop and execute robust testing strategies to ensure solution quality and swiftly address defects. Integration & Connectivity: Ensure seamless system interoperability and implement effective CI/CD practices. Monitoring & Maintenance: Establish monitoring systems to track performance and proactively optimize AI solutions. Documentation & Stakeholder Communication: Maintain clear technical documentation and facilitate effective communication between technical teams and business stakeholders. What you need: Required Qualifications: Minimum 12 years of experience in leading teams designing, implementing, maintaining, and enhancing AI or software solutions with minimum 4 years of people management experience. Proficiency in Python or C#, with solid experience in Azure cloud services (Copilot Studio, Azure AI Services, Azure Machine Learning). Familiarity with DevOps practices and CI/CD pipelines (Azure DevOps or equivalent). Demonstrated ability in agile environments to translate business requirements into functional specifications, leading to efficient and effective implementation of automation projects throughout the software development life cycle. Preferred Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master’s degree in Science preferred). Azure certifications (e.g., Azure AI Engineer Associate) are highly advantageous. Travel Percentage: 10%

About Outlier Outlier is the world’s leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Electrical Engineering experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Electrical Engineering. Develop and answer Electrical Engineering -related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Ph.D in Electrical Engineering or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Electrical Engineering experts range from $27 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance.

Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities - Develop, test, and maintain backend applications using Django, Flask, or FastAPI. Build RESTful APIs and integrate third-party services to enhance platform capabilities. Utilize data handling libraries like Pandas and NumPy for efficient data processing. Write clean, maintainable, and well-documented code that adheres to industry best practices. Participate in code reviews and mentor junior developers. Collaborate in Agile teams using Scrum or Kanban workflows. Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications . 2 to 5 years of experience in backend development with Python. Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. Strong command over at least one Python framework (Django, Flask, or FastAPI). Experience with data libraries like Pandas and NumPy. Understanding of authentication/authorization mechanisms, middleware, and dependency injection. Familiarity with version control systems like Git. Comfortable working in Linux environments. Must-Have Skills Expertise in backend Python development and web frameworks. Strong debugging, problem-solving, and optimization skills. Experience with API development and microservices architecture. Deep understanding of software design principles and security best practices. Good-to-Have Skills Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Knowledge of containerization tools (Docker, Kubernetes). Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). Familiarity with Agile practices and tools like Jira or Trello. Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks Competitive Salary: Earn up to ₹10 –18 LPA based on skills and experience. Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,800,000.00 per year Benefits: Leave encashment Paid sick time Paid time off Application Question(s): How many years of experience do you have working with Python in backend development? How comfortable are you with creating and integrating RESTful APIs? Rate your skills in between- 1 to 10. Do you have experience working with Pandas, NumPy, or any data processing libraries in Python? Your Expected Salary..? Your Current salary..? Experience: Python Developer: 3 years (Preferred) Work Location: In person

Job Title: Python Developer – AI/ML Focus About the Role: We are looking for a passionate and skilled Python Developer with a keen interest in Artificial Intelligence (AI) and Machine Learning (ML) technologies. You will be responsible for developing robust web applications, deploying scalable AI/ML models, and integrating modern data solutions to solve real-world problems. This role is ideal for professionals who are eager to work at the intersection of software development and intelligent systems. Key Responsibilities: Design, develop, and maintain web applications using Python frameworks such as Django , Flask , and FastAPI . Build, train, and deploy machine learning models using TensorFlow , PyTorch , and other AI/ML frameworks. Apply data analysis and visualization techniques using NumPy , Pandas , Matplotlib , and Seaborn . Develop RESTful APIs and microservices to support AI-driven applications. Utilize LangChain , LlamaIndex , Vector DBs (e.g., FAISS, Pinecone) for building LLM-based data applications. Perform web scraping using BeautifulSoup , Scrapy , and manage structured data pipelines. Work with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases to store, retrieve, and manage data securely. Integrate applications with cloud platforms like AWS , Azure , or GCP for seamless deployment and scaling. Collaborate with data scientists, DevOps engineers, and other cross-functional teams to deliver high-impact solutions. Stay up to date with advancements in the Python ecosystem , AI/ML models , and OpenAI technologies . Required Skills & Qualifications: Bachelor’s degree in Computer Science , Engineering , or a related field. 1–3 years of experience in Python programming and backend web development. Proficiency in Django , Flask , and FastAPI . Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch. Familiarity with LLMs , LangChain , LlamaIndex , and vector databases is a strong plus. Practical knowledge of data analysis libraries : NumPy, Pandas, Matplotlib. Understanding of API development , HTTP request handling , and web scraping techniques. Experience with cloud deployment on AWS , Azure , or Google Cloud Platform . Working knowledge of DevOps tools : Docker, Kubernetes, Jenkins (preferred). Proficient in version control systems like Git and GitHub. Basic frontend skills in HTML , CSS , and JavaScript . Strong communication skills and the ability to work in a collaborative team environment. Job Type: Full-time Pay: ₹16,478.20 - ₹50,000.00 per month Benefits: Paid time off Provident Fund Work from home Work Location: In person

We are looking for a highly motivated AI Developer with 2 to 3 years of experience in building AI-powered chatbot agents and strong proficiency in Python. The ideal candidate should have hands-on experience with conversational AI platforms, natural language processing (NLP), and deploying intelligent virtual assistants that provide seamless user experiences. Requirements : Design, develop, and deploy intelligent chatbot agents using Python and AI frameworks. Build and train NLP models for intent classification, entity extraction, and response generation. Work with platforms such as Rasa, Dialogflow, Microsoft Bot Framework, or OpenAI GPT-based tools. Integrate chatbots with web/mobile applications, CRMs, or third-party APIs. Write clean, scalable, and well-documented Python code to support AI logic and backend functionalities. Continuously evaluate and improve chatbot performance through analytics and feedback loops. Collaborate with product managers, designers, and developers to define bot workflows and use cases. Ensure data privacy, security, and compliance in AI-driven solutions Benefits : 5 Day working On time salary inter- tech work Skill upgradation trainings Soft skills trainings Rewards and recognitions Schedule: Day shift Monday to Friday Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Provident Fund Application Question(s): Comfortable for an on site role Mohali ? Experience: AI: 3 years (Required) Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #NIC

AI / ML Engineer – Multilingual Voice AI Systems Location: Noida- Onsite Experience: 3–6 Years Type: Full-Time/Contractual Reporting To: Solution Architect / Technical Director We’re building a multilingual, AI-driven voice assistant for phone-based booking via telephony APIs e.g. (Ozonetel / Exotel / Twilio / Knowlarity). The system must interact naturally in multiple global languages, making it a first-of-its-kind solution in our product stack. Role Overview We're seeking a practical AI/ML Engineer to lead the speech AI and multilingual NLP components of a voice automation platform. You’ll design and integrate Speech-to-Text, LLM/NLU, and Text-to-Speech systems that support dynamic phone conversations in multiple languages. Key Responsibilities Design, train, or integrate multilingual NLP pipelines to support dynamic conversations using: LLMs (OpenAI GPT, LLaMA 3, Ollama, or Azure OpenAI) STT/TTS services (Google Cloud, Azure Speech, Whisper, etc.) Configure language detection, intent recognition, and fallback flows Create multilingual prompt engineering logic and fine-tune models (if needed) Ensure STT/LLM/TTS works effectively with real-time voice streams via telephony APIs e.g. (Ozonetel / Exotel / Twilio / Knowlarity) Support integration of fallback IVR-style flows when AI fails Work closely with .NET engineers and backend team to wire up API-based workflows Assist in evaluating trade-offs between cloud APIs vs self-hosted models Optimize voice latency, transcription quality, and conversational UX Help set up language-specific voice personas with TTS (tone, pitch, accent) Must-Have Skills Experience building or integrating conversational AI or voicebots Strong knowledge of NLP, multilingual text handling, and LLM usage Hands-on integration with: OpenAI / Hugging Face / Ollama / LangChain Google Speech / Azure STT & TTS / Whisper Good understanding of international language encoding, accents, and noise handling Python fluency (NLTK, transformers, speech SDKs, etc.) Ability to work with APIs (REST, JSON, async jobs) Good-to-Have Skills Knowledge of telephony APIs (Ozonetel / Exotel / Twilio / Knowlarity) Familiarity with audio pipelines (e.g., audio capture, normalization, latency tuning) Experience with language-specific nuances like: Arabic TTS tokenization Hindi/Urdu word splitting Nigerian Pidgin vs standard English handling Prior experience with voice UX design or multilingual chatbot building Familiarity with Whisper fine-tuning or custom STT model training Qualifications Bachelor’s / Master’s in CS, Data Science, AI, or equivalent 3–6 years in AI/ML product development with focus on NLP, STT, or TTS Past experience in multilingual bot or voice system is highly preferred Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 3 months Work Location: In person

Location Gurugram, Jaipur Employment Type Full time Location Type Hybrid Department Engineering For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram. Position Description: We are seeking a Machine Learning Engineer to join our growing AI team at PAR . This role will focus on developing and scaling GenAI-powered services, recommender systems, and ML infrastructure that fuel personalized customer engagement. You will work across teams to drive technical excellence and real-world ML application impact. Position Location: Jaipur / Gurgaon Reports To: [Hiring Manager Title – e.g., Head of AI or Senior Director, AI Engineering] What We’re Looking For: Entrees (Requirements): Master’s or PhD in Computer Science, Machine Learning, or a related field 3+ years of experience delivering production-ready machine learning solutions Deep understanding of ML algorithms , recommender systems , and NLP Experience with LLM frameworks (Hugging Face Transformers, LangChain, OpenAI API, Cohere) Strong proficiency in Python , including object-oriented design and scalable architecture Advanced expertise in Databricks : notebooks, MLflow tracking, data pipelines, job orchestration Hands-on experience with cloud-native technologies – preferably AWS (S3, Lambda, ECS/EKS, SageMaker) Experience working with modern data platforms : Delta Lake, Redis, Elasticsearch, NoSQL, BigQuery Strong verbal and written communication skills to translate technical work into business impact Flexibility to collaborate with global teams in PST/EST time zones when required With a Side of (Additional Skills): Familiarity with vector databases (FAISS, ChromaDB, Pinecone, Weaviate) Experience with retrieval-augmented generation (RAG) and hybrid search systems Skilled in deploying ML APIs using FastAPI or Flask Background in text-to-SQL applications or domain-specific LLMs Knowledge of ML Ops practices: model versioning, automated retraining, monitoring Familiarity with CI/CD for ML pipelines via Databricks Repos, GitHub Actions, etc. Contributions to open-source ML or GenAI projects Experience in the restaurant/hospitality tech or digital marketing domain Unleash Your Potential: What You Will Be Doing and Owning: Build and deploy GenAI-powered microservices and personalized recommendation engines Design and manage Databricks data pipelines for training, feature engineering, and inference Develop high-performance ML APIs and integrate with frontend applications Implement retrieval pipelines with vector DBs and search engines Define and maintain ML Ops workflows for versioning, retraining, and monitoring Drive strategic architectural decisions for LLM-powered, multi-model systems Collaborate across product and engineering teams to embed intelligence in customer experiences Enable CI/CD for ML systems with modern orchestration tools Advocate for scalability, performance, and clean code in all deployed solutions Interview Process: Interview #1: Phone Screen with Talent Acquisition Team Interview #2: Technical Interview – Round 1 with AI/ML Team (via MS Teams / F2F) Interview #3: Technical Interview – Round 2 with AI/ML Team (via MS Teams / F2F) Interview #4: Final Round with Hiring Manager and Cross-functional Stakeholders (via MS Teams / F2F PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.

Unlock yourself. Take your career to the next level. At Atrium, we live and deliver at the intersection of industry strategy, intelligent platforms, and data science — empowering our customers to maximize the power of their data to solve their most complex challenges. We have a unique understanding of the role data plays in the world today and serve as market leaders in intelligent solutions. Our data-driven, industry-specific approach to business transformation for our customers places us uniquely in the market. Who are you? You are smart, collaborative and take ownership to get things done. You love to learn and are intellectually curious in business and technology tools, platforms and languages. You are energized by solving complex problems and bored when you don’t have something to do. You love working in teams, and are passionate about pulling your weight to make sure the team succeeds. What will you be doing at Atrium? We are seeking a highly skilled AI QA Consultant to ensure the quality, functionality, and performance of our AI solutions. This role is responsible for testing across the Salesforce platform with a specialised focus on validating AI-powered features, agentic workflows, and integrations with Large Language Models (LLMs). This position bridges traditional Salesforce QA with modern AI testing principles, requiring a deep understanding of Salesforce best practices, a keen eye for detail, and the technical acumen to test complex, non-deterministic systems. You will work closely with AI developers, Salesforce administrators, and business stakeholders to deliver robust and reliable AI-driven user experiences. The QA Consultant will: Conduct thorough manual and exploratory testing of AI features on the Salesforce platform. You will identify, document, and track defects in Jira, clearly distinguishing between standard configuration bugs and nuanced, probabilistic issues inherent in AI model outputs Take ownership of data quality for the entire AI fine-tuning lifecycle. You will be responsible for validating and helping prepare the high-quality, unbiased datasets that are essential for building reliable and effective enterprise AI Develop detailed test plans, test cases, and test scripts specifically designed to evaluate the accuracy, relevance, safety, and performance of LLM responses and AI-driven logic Collaborate with product owners and AI developers to understand requirements and design comprehensive test strategies for Salesforce solutions that incorporate AI components like intelligent chatbots, RAG-based knowledge retrieval, automated case summarization, and agentic process automation Create scenarios to test for prompt injection vulnerabilities, model hallucinations, data grounding issues, and bias in AI outputs Assess the performance, latency, and resource consumption of AI features to ensure they meet user experience benchmarks Facilitate User Acceptance Testing (UAT) for AI-powered features. Guides business users on how to evaluate and provide feedback on intelligent systems Stay updated with the latest advancements in LLMs, prompt engineering techniques, and AI testing methodologies, and champion the adoption of best practices In this role, you will have: Strong foundation with 2-3 years of dedicated QA experience on the Salesforce platform. It is crucial for validating how AI features interact with core Salesforce objects, data models, and business workflows A solid understanding of modern AI/NLP concepts, including Retrieval-Augmented Generation (RAG), model fine-tuning, and the principles of creating feedback loops for reinforcement learning (e.g., RLHF) Proficiency in Python, used for writing test scripts, data manipulation, and interacting with AI APIs Hands-on experience testing applications built with LLM APIs (like OpenAI, Gemini), frameworks such as LangChain/LlamaIndex, and various Vector Databases Working knowledge of SQL, NoSQL, and vector databases Excellent analytical and communication skills, with experience thriving in an Agile/Scrum environment Next Steps Our recruitment process is highly personalized. Some candidates complete the hiring process in one week, others may take longer as it’s important we find the right position for you. It's all about timing and can be a journey as we continue to learn about one another. We want to get to know you and encourage you to be selective - after all, deciding to join a company is a big decision! At Atrium, we believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are an equal opportunity employer and all qualified applicants will receive consideration for employment.

Role Description: We are looking for a highly skilled Senior Developer with strong AI/ML expertise to lead the next phase of intelligent automation in RadEze PACS , our cloud-native radiology workflow platform. You’ll work closely with the founding team to enhance DICOM image handling, integrate diagnostic AI features, and ship high-impact features requested by global radiology clients. Location: Noida (Preferred) Experience: 5–10 years Company: Ezewok Healthtech Pvt Ltd Compensation: Competitive with equity potential Requirements: B.Tech/M.Tech from IIT/NIT/BITS or top-tier institutes (preferred) 5–10 years of full stack development experience (Node.js + React.js) Strong hands-on experience with AI/ML : PyTorch, TensorFlow, scikit-learn Image classification, segmentation, NLP OpenAI CLIP, Whisper, or HuggingFace models Experience in medical imaging (DICOM, PACS, Cornerstone, MONAI, SimpleITK) is a major plus Solid understanding of cloud infrastructure (AWS EC2, S3, GPU, Docker, Lambda) Comfort with real-world product building, debugging, and scaling Responsibilities: Full Stack Development Own and scale our Node.js + React-based PACS infrastructure Implement new features from diagnostic centers and radiologists Optimize performance of DICOM viewer report workflows, and metadata processing Enhance real-time dashboards, billing engines, and multi-user reporting modules AI/ML & Diagnostic Intelligence Develop and deploy AI models for radiology use cases: X-ray/CT/MRI classification. Anomaly detection, segmentation, or report summarization Integrate dictation and NLP tools for auto-reporting Build scalable pipelines for image-based inference on AWS/GPU-backed infrastructure Contribute to building our AI assistant for radiologists and coordinators Product & Client Collaboration Translate client feature requests into scalable product modules Guide implementation of quality and TAT tracking metrics Mentor junior developers; work with product and infra leads Shape our AI roadmap based on user feedback and imaging standards Bonus Skills: Worked on teleradiology , healthcare AI , or FDA/CE-regulated medical software Experience with multi-user workflows , audit trails , and data privacy (HIPAA/GDPR) Experience contributing to open-source radiology tools. Why Join Us? Be a foundational member of India’s most flexible, AI-enhanced PACS platform Lead the AI vision for radiology , working with real-world data at scale Shape a fast-growing product used by radiologists and hospitals across India and abroad Remote-first, product-led, and deeply impact-driven culture To Apply Send your resume, portfolio, and a brief on your most exciting AI/radiology project to hr@ezewok.com or connect directly with the founders on LinkedIn.

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram. Position Description We are seeking a Machine Learning Engineer to join our growing AI team at PAR . This role will focus on developing and scaling GenAI-powered services, recommender systems, and ML infrastructure that fuel personalized customer engagement. You will work across teams to drive technical excellence and real-world ML application impact. Position Location: Jaipur / Gurgaon Reports To [Hiring Manager Title – e.g., Head of AI or Senior Director, AI Engineering] Entrees (Requirements) What We’re Looking For: Master’s or PhD in Computer Science, Machine Learning, or a related field 3+ years of experience delivering production-ready machine learning solutions Deep understanding of ML algorithms, recommender systems, and NLP Experience with LLM frameworks (Hugging Face Transformers, LangChain, OpenAI API, Cohere) Strong proficiency in Python, including object-oriented design and scalable architecture Advanced expertise in Databricks: notebooks, MLflow tracking, data pipelines, job orchestration Hands-on experience with cloud-native technologies – preferably AWS (S3, Lambda, ECS/EKS, SageMaker) Experience working with modern data platforms: Delta Lake, Redis, Elasticsearch, NoSQL, BigQuery Strong verbal and written communication skills to translate technical work into business impact Flexibility to collaborate with global teams in PST/EST time zones when required With a Side Of (Additional Skills) Familiarity with vector databases (FAISS, ChromaDB, Pinecone, Weaviate) Experience with retrieval-augmented generation (RAG) and hybrid search systems Skilled in deploying ML APIs using FastAPI or Flask Background in text-to-SQL applications or domain-specific LLMs Knowledge of ML Ops practices: model versioning, automated retraining, monitoring Familiarity with CI/CD for ML pipelines via Databricks Repos, GitHub Actions, etc. Contributions to open-source ML or GenAI projects Experience in the restaurant/hospitality tech or digital marketing domain Unleash Your Potential: What You Will Be Doing and Owning: Build and deploy GenAI-powered microservices and personalized recommendation engines Design and manage Databricks data pipelines for training, feature engineering, and inference Develop high-performance ML APIs and integrate with frontend applications Implement retrieval pipelines with vector DBs and search engines Define and maintain ML Ops workflows for versioning, retraining, and monitoring Drive strategic architectural decisions for LLM-powered, multi-model systems Collaborate across product and engineering teams to embed intelligence in customer experiences Enable CI/CD for ML systems with modern orchestration tools Advocate for scalability, performance, and clean code in all deployed solutions Interview Process Interview #1: Phone Screen with Talent Acquisition Team Interview #2: Technical Interview – Round 1 with AI/ML Team (via MS Teams / F2F) Interview #3: Technical Interview – Round 2 with AI/ML Team (via MS Teams / F2F) Interview #4: Final Round with Hiring Manager and Cross-functional Stakeholders (via MS Teams / F2F PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.

Job description Full-Stack Web & Experience Designer (your badge will read “Digital Swiss-Army Knife” — and mean it) Location: On-site — Ahmedabad HQ Reports to: Chief Operating Officer (works shoulder-to-shoulder with Creative, Strategy & Performance teams) Why This Role Matters Mission-critical: You’ll architect the next wave of CI 360° websites, microsites and interactive platforms already queued for lift-off. Platform playground: WordPress, Webflow, Shopify, Craft, headless CMS, static-site generators — bring your sharpest blades, master the rest. User-first ownership: Prototype in Figma, refine micro-interactions with designers, and ship pixel-perfect experiences that thrill Gen Z while guiding Baby-Boomer B2B execs. Automation & AI frontier: From n8n workflows and Zapier alternatives to custom agentic build pipelines and on-page LLM helpers — you’ll test, tinker and productise whatever shaves minutes or moves metrics. Growth built-in: You’ll be the in-house scout for “what’s next,” mentoring team-mates while fuelling your own learning sprint. What You’ll Tackle Design & build end-to-end: wireframes → Figma prototypes → production code; keep Lighthouse 90+ and load times blink-fast. Architect flexible CMS setups: custom blocks, GraphQL/REST endpoints, immaculate content governance ready for localisation and scale. Own UX research loops: heat-maps, user tests, “grandma test,” iterate — repeat. Automate for efficiency: craft n8n flows, GitHub Actions, headless CMS webhooks, and AI-driven content tools that make editors grin. Inject AI thoughtfully: dynamic copy, computer-generated imagery, chat widgets, predictive content modules — prototype, prove value, roll out. Lead collaboration: teach designers responsive quirks, help Performance read Core Web Vitals, coach Accounts on selling smarter web solutions. Future-proof: pilot agentic build systems, edge functions, PWAs, AR/VR demos — bring back learnings to sharpen our service stack. You’ll Thrive If You Have… 2–3 years building across multiple CMSs (show us live links). Fluency in HTML5/CSS3/JavaScript plus a modern framework (React, Vue, Svelte…), PHP fundamentals, REST/GraphQL APIs. Figma wizardry: components, variables, auto-layout, design-system thinking. Proven chops in accessibility, performance optimisation, SEO micro-schema. Curiosity for AI/ML tooling (OpenAI, Gemini, serverless LLM endpoints) and workflow-automation platforms such as n8n. Polished communication in English — can simplify tech for CEOs or juniors alike. Bonus Points Headless WordPress with Next.js / Astro in production. Animation mojo (GSAP, Lottie, CSS Houdini). B2B martech familiarity (HubSpot, Pardot). Demonstrated agent workflow or low-code AI site-builder experiments. Culture Fit Signals Ship > Talk: you prototype fast and iterate faster. Teach & learn: you share tricks as eagerly as you absorb them. Product mindset: “Does this move the metric?” precedes every commit. Craft pride: kerning, colour harmony, semantic tags — the little things that make experiences sing. What You’ll Get Competitive salary + performance spikes. Hardware & premium software of choice. Courses of choice (we back your growth). High-trust leave policy. Friday demo-days (chai on tap, playlists optional). Sound Like Your Next Adventure? Whatsapp to 9711809099 or Email pramit.ghosh@ci360degrees.com with: Portfolio links (live URLs > screenshots). A one-liner brag about your proudest build. An example of how you used automation or AI to save time or elevate UX. Let’s build faster, smarter, and a little bolder — together.

We are seeking a visionary AI Architect to lead the design and integration of cutting-edge AI systems, including Generative AI , Large Language Models (LLMs) , multi-agent orchestration , and retrieval-augmented generation (RAG) frameworks. This role demands a strong technical foundation in machine learning, deep learning, and AI infrastructure, along with hands-on experience in building scalable, production-grade AI systems on the cloud. The ideal candidate combines architectural leadership with hands-on proficiency in modern AI frameworks, and can translate complex business goals into innovative, AI-driven technical solutions. Primary Stack & Tools: Languages : Python, SQL, Bash ML/AI Frameworks : PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers GenAI & LLM Tooling : OpenAI APIs, LangChain, LlamaIndex, Cohere, Claude, Azure OpenAI Agentic & Multi-Agent Frameworks : LangGraph, CrewAI, Agno, AutoGen Search & Retrieval : FAISS, Pinecone, Weaviate, Elasticsearch Cloud Platforms : AWS, GCP, Azure (preferred: Vertex AI, SageMaker, Bedrock) MLOps & DevOps : MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines, Terraform, FAST API Data Tools : Snowflake, BigQuery, Spark, Airflow Key Responsibilities: Architect scalable and secure AI systems leveraging LLMs , GenAI , and multi-agent frameworks to support diverse enterprise use cases (e.g., automation, personalization, intelligent search). Design and oversee implementation of retrieval-augmented generation (RAG) pipelines integrating vector databases, LLMs, and proprietary knowledge bases. Build robust agentic workflows using tools like LangGraph , CrewAI , or Agno , enabling autonomous task execution, planning, memory, and tool use. Collaborate with product, engineering, and data teams to translate business requirements into architectural blueprints and technical roadmaps. Define and enforce AI/ML infrastructure best practices , including security, scalability, observability, and model governance. Manage technical road-map, sprint cadence, and 3–5 AI engineers; coach on best practices. Lead AI solution design reviews and ensure alignment with compliance, ethics, and responsible AI standards. Evaluate emerging GenAI & agentic tools; run proofs-of-concept and guide build-vs-buy decisions. Qualifications: 10+ years of experience in AI/ML engineering or data science, with 3+ years in AI architecture or system design. Proven experience designing and deploying LLM-based solutions at scale, including fine-tuning , prompt engineering , and RAG-based systems . Strong understanding of agentic AI design principles , multi-agent orchestration , and tool-augmented LLMs . Proficiency with cloud-native ML/AI services and infrastructure design across AWS, GCP, or Azure. Deep expertise in model lifecycle management, MLOps, and deployment workflows (batch, real-time, streaming). Familiarity with data governance , AI ethics , and security considerations in production-grade systems. Excellent communication and leadership skills, with the ability to influence technical and business stakeholders.

Job Title: Lead – GenAI Delivery Grade: 3A Experience: 8-12 years Location: Gurgaon / Noida / Pune / Bangalore Openings: 1 Overview: We are seeking an experienced Associate Director to lead the delivery and execution of cutting-edge Generative AI (GenAI) programs for key insurance clients. This role demands a seasoned professional who can manage cross-functional pods, ensure high-quality project delivery, and align GenAI solutions with business goals. Responsibilities: Own end-to-end delivery of GenAI projects across multiple client engagements. Define and track project KPIs, milestones, and business value metrics. Lead cross-functional pods including engineers, product managers, and QA. Serve as the primary point of contact for client and internal stakeholder communications. Ensure compliance with AI governance practices and drive reusability of platform tools. Identify project risks and proactively resolve blockers. Maintain delivery documentation and provide regular status updates. Tech Stack: GenAI Platforms: OpenAI, Azure OpenAI (implied) Project Management Tools: Jira, Confluence Cloud Platforms: AWS / Azure / GCP Agile Methodologies: Scrum, Kanban Tracking & Monitoring: KPI dashboards Requirements: 10–12 years of experience, with at least 2–3 years in AI/Analytics/Technology project leadership. Experience in leading AI/ML/GenAI delivery teams. Strong communication, governance, and client relationship skills. Familiarity with the insurance industry is a plus.

Job Title: Data Scientist majorly focused on Azure Foundry Engineer / Python Developer (AI/NLP) Location: Gurgaon (In-Office) Job Type: Full-time Experience Required: 5+ years (including at least 1 year in AI/NLP) About the Role: We are looking for an experienced Azure Foundry Engineer / Python Developer to join our AI team. The role involves backend Python development and working on AI/NLP systems in Azure environments. Ideal for candidates with a passion for building scalable and intelligent solutions. Key Responsibilities: Design and manage scalable cloud infrastructure using Azure Foundry Develop Python-based backend services for AI/NLP applications Integrate LLM APIs like OpenAI, Gemini, etc. Work with Agentic AI tools such as AutoGen and LangChain Automate AI/ML workflows and support CI/CD pipelines Build and deploy applications using FastAPI, Docker Handle prompt engineering, REST API design, and background tasks using Celery or RQ Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field 5+ years of backend development experience with Python At least 1 year of experience in AI/NLP projects on Azure Hands-on experience with Azure Foundry or similar platforms Proficiency in FastAPI, prompt engineering, LLMOps, and agent frameworks Familiar with scripting languages like Python, Bash, or PowerShell Experience with version control (Git), Docker, and monitoring tools Nice to Have: Knowledge of LangChain, LangGraph, or LLM toolchains Experience with chatbots, semantic search, or conversational UIs Understanding of vector databases and test-driven development (e.g., Pytest) About IGT Solutions : IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing end-to-end CX journeys across Travel and High Growth Tech industries. We have a global delivery footprint, spread across 30 delivery centers in China, Colombia, Egypt, India, Indonesia, Malaysia, Philippines, Romania, South Africa, Spain, UAE, the US, and Vietnam, with 25000+ CX and Technology experts from 35+ nationalities. IGT's Digital team collaborates closely with our customer’s business & technology teams to take solutions faster to market while sustaining quality while focusing on business value and improving overall end-Customer Experience Our offerings include industry solutions as well as Digital services. We work with leading global enterprise customers to improve synergies between business & technology by enabling rapid business value realization leveraging Digital Technologies. These include lifecycle transformation & rapid development / technology solution delivery services delivered leveraging traditional as well as Digital Technologies, deep functional understanding and software engineering expertise. IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements. It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and deployment strategies. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. - Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering, and language model safety Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI, or AI Assistants Familiarity with LangChain, LLMOps, or serverless model deployment Background in MLOps, Docker/Kubernetes, and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 2 years Location: Remote (India) JobType: full-time About The Role We’re on the lookout for a driven Generative AI Engineer with hands-on experience in natural language processing and large language models. In this role, you'll be at the forefront of shaping conversational AI experiences—chatbots, intelligent reporting agents, campaign QAs—within a dynamic, data-driven advertising platform. You’ll get to work with state-of-the-art frameworks like LangGraph , LangChain , OpenAI APIs , and Hugging Face Transformers , helping us design smarter, more human-like interfaces that power decisions, insights, and automation for marketing teams. What You’ll Do Build and deploy generative AI applications using LLMs , including GPT-series models, with frameworks like LangChain , LangGraph , and Hugging Face . Develop AI agents for use cases like campaign QA, performance analytics, and intelligent prompt-based reporting assistants. Create and integrate backend chatbot layers using Python and Django (or Flask/FastAPI), ensuring seamless integration with the platform UI. Design and maintain scalable NLP pipelines with a focus on latency , cost-efficiency , and robust performance . Collaborate closely with data scientists, product managers, and marketing ops to refine AI use cases and deploy production-ready solutions. Monitor AI model behavior, run evaluations, and ensure fairness, consistency, and quality across outputs. Maintain technical documentation, testing workflows, and API contracts. What You Bring Experience : Minimum 2 years working in NLP or generative AI, preferably on customer-facing applications. Core Skills : Proficient in Python Hands-on with LangChain , LangGraph , OpenAI APIs , and Hugging Face Solid understanding of LLM architecture, prompt design, fine-tuning, and inference Backend Development : Proven experience building chatbot services or interactive tools using Django , Flask , or equivalent frameworks. Software Engineering Best Practices : Clean, modular code with unit tests, version control, and documentation. Team Fit : Strong written and verbal communication; proactive in cross-functional collaboration. Nice-to-Have Background in programmatic advertising , DSPs , or marketing automation . Experience with cloud infrastructure (AWS/GCP/Azure) for hosting and scaling AI workloads. Familiarity with Docker , Kubernetes , or MLOps pipelines for model deployment and maintenance.

Job description Company Description Infinite Possibilities is a Generative AI startup that offers full-range product development services for software vendors and corporations looking to accelerate their AI adoption. The company is pioneering innovative AI applications for the FinTech sector and aims to disrupt the consulting services in the Private Equity space with high-impact Gen AI use cases. Role Description This is a Junior Role with a demonstrable interest in AI. We have openings in both product / business development as well as engineering. The role involves working on cutting-edge AI projects, collaborating with the team on AI development, and contributing to the creation of innovative AI solutions. It is a remote position. Qualifications IITs / NITs / BITs academic background will be preferred 0-2 Years of experience in AI Self-starter and deep knowledge of AI concepts and algorithms Hands-on projects using huggingface or langchain or OpenAI or any open source LLM model. Practical experience working with LLMs, prompt engineering, and transformer models. Programming skills in Python Ability to work independently and in a remote team environment Strong problem-solving and analytical skills Excellent communication and collaboration skills Skills Artificial Intelligence (AI),Natural Language Processing (NLP),Back-End Web Development,Computer Vision,Deep Learning,Python (Programming Language),Machine Learning,Problem Solving,Data Science,Amazon Web Services (AWS)

Senior AI Engineer – Job Description Role Overview: Lead design and delivery of LLM-powered, agentic AI solutions with robust RAG pipelines and prompt-engineering best practices. Key Responsibilities: Integrate and optimize LLM APIs (OpenAI, FILxGPT ) for scalable services Craft, test and refine high-impact prompts and chains Architect agentic workflows combining retrieval, LLM generation and external tools Build end-to-end RAG systems: data ingestion, embedding/indexing, hybrid retrieval, grounded generation Ensure model governance: versioning, monitoring, bias/security audits Qualifications: 5+ years in AI/ML engineering with 2+ years on LLM/agentic systems Deep expertise in prompt engineering, RAG architectures and vector databases Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD Strong communication and mentorship skills