4010 Openai Jobs - Page 33

Job Title: Python Developer Location: Remote CTC: ₹12 LPA Experience: 5+ years in Python development, 1+ year in AI/ML projects About Us: Xpress Health is a leading digital healthcare solutions provider, transforming patient care through innovation and technology. We're seeking a passionate and skilled Python Developer to join our remote tech team and contribute to cutting-edge AI projects powering our healthcare platforms. Key Responsibilities: Design, develop, and maintain robust Python-based applications for AI and healthcare automation. Implement and integrate AI/ML models into production systems. Work with Vector Databases (e.g., Pinecone, FAISS, Milvus) to build and manage semantic search and retrieval pipelines. Optimize data processing workflows for scalability and performance. Collaborate with cross-functional teams including data scientists, product managers, and DevOps. Write clean, modular, and well-documented code following best practices. Ensure application security and data privacy compliance (especially in healthcare context). Required Skills & Experience: Minimum 5 years of hands-on experience in Python development. At least 1 year of experience working on AI/ML projects (model development or integration). Experience with Vector Databases like Pinecone , FAISS , or Milvus . Strong understanding of data structures, algorithms, and system design. Familiarity with libraries/frameworks like TensorFlow , PyTorch , LangChain , or OpenAI APIs is a plus. Experience in developing REST APIs and working with cloud services (AWS/GCP/Azure) preferred. Strong problem-solving and communication skills. What We Offer: Remote-first culture with flexible working hours (India timezone). Opportunity to work on high-impact AI projects in the healthcare domain. Supportive, innovative, and collaborative work environment. Learning & development support. Job Type: Full-time Pay: Up to ₹1,200,000.00 per year Benefits: Paid time off Work from home Schedule: Evening shift Monday to Friday UK shift Experience: Python: 5 years (Required) AI/ML project: 1 year (Required)

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... The MTS AI/ML Engineer will contribute to the development and implementation of generative AI applications. This position requires foundational skills in AI/ML technologies and software development, with an eagerness to grow in the field of generative AI. Scope of work - The primary focus of the role is to contribute to the enterprise's transformation using generative AI technologies. Engage in advanced research and experimentation with cutting-edge technologies in the field of generative AI and develop custom applications using gen AI to solve complex business problems. Work on proprietary data formats, analyze data, and fine-tune models for specific use cases, such as code review and customer-facing sux`pport models. Spearhead the exploration and adoption of cutting-edge GenAI technology, continuously keeping pace with rapid advancements in the field. Strategically identify and apply the latest GenAI innovations to solve Pure's specific business problems, working on a "fail fast" basis to iterate and deliver solutions quickly. Develop and deploy custom, production-grade applications using generative AI, including hands-on experience with LLMs such as Claude or OpenAI models, to address complex business challenges. Drive strategic GenAI application development aimed at optimizing business operations, delivering significant product enhancements, improving overall productivity, and achieving substantial cost savings. Utilize frameworks like Langgraph, or Llama Index for building sophisticated LLM-powered applications. Implement robust LLM evaluation methodologies and best practices for prompt engineering and management. Address and mitigate LLM security challenges. Collaborate closely with product teams and other stakeholders to conceptualize, develop, and deliver full-fledged, integrated GenAI solutions What You’ll Need To Bring To This Role… Strong familiarity with language models (LLMs) and practical experience building applications with LLMs. Solid understanding of LLM evaluation techniques and prompt management strategies. Hands-on experience with Langchain, Langgraph, or Llama Index. Proven experience with Claude, OpenAI, or similar foundational models. Understanding of LLM security challenges and best practices is a plus. Experience with Model Context Protocol and building secure applications with it is a plus. Understanding of systems side of LLMs : inference and serving of open source models Familiarity with Python, and basic knowledge of software development tools (Git, JIRA). Understanding of machine learning concepts and experience with frameworks like TensorFlow or PyTorch. Introductory knowledge of cloud computing and containerization technologies. Ability to work with data storage solutions (SQL, NoSQL, Hadoop). Knowledge of software engineering practices, including version control and CI/CD. What You Can Expect From Us Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. Accommodations And Accessibility Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. Our Commitment To a Strong And Inclusive Team We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

About Us: We are a team of adventurous, creative, and open-minded individuals who are passionate about technology. We live, breathe, and build on the cloud. We're currently seeking enthusiastic Full Stack Developers who are eager to learn, code, and adapt across a variety of technology projects. Key Responsibilities: Develop, test, and maintain web applications with rich features using PHP/Python , JavaScript , HTML , and CSS . Create back-end components using frameworks such as Laravel , Symfony , Django , or Flask . Work closely with cross-functional teams to define, design, and launch new features. Design and build intuitive front-end interfaces using modern frameworks like React , Angular , or Vue.js . Write clean, scalable code while integrating RESTful APIs and third-party services. Troubleshoot, debug, and enhance existing systems. Ensure the performance, responsiveness, and compatibility of applications across browsers. Apply responsive design principles to deliver mobile-optimized user experiences. Optimize web applications for high speed and scalability. Take part in code reviews and help maintain high standards in code quality and consistency. Required Qualifications: A Bachelor’s degree in Computer Science , Information Technology , or a related discipline. Strong coding abilities and understanding of server-side technologies such as Node.js , Python , PHP , or Java . Solid knowledge of PHP and its frameworks (e.g., Laravel , CodeIgniter ). Strong familiarity with Python and its frameworks (e.g., Django , Flask ). Proficient in HTML , CSS , JavaScript , and at least one JavaScript framework/library such as React or Angular . Awareness of AI , OpenAI APIs , LLMs , and similar AI/ML/NLP tools is an added advantage. Good understanding of SQL / NoSQL databases such as MySQL , PostgreSQL , and MongoDB . Familiarity with cloud platforms like AWS or GCP , and basic DevOps principles. A problem-solving mindset with a strong desire to learn emerging technologies. Effective communication skills and the ability to work efficiently in a fast-paced team environment. Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering , or a related field (or equivalent work experience). Job Type: Full-time Schedule: Monday to Friday Job Location: Technopark, Trivandrum, Kerala Notice period -Immediate Joiner Preferred For Detailed Job Description Click Here : https://drive.google.com/file/d/1P6o8rHegtL0uia5yZNfC_lPhbY2fTHpm/view?usp=sharing Note : Shortlisted candidates shall be contacted via email and screened through Machine task , communication /Aptitude tasks. Job Type: Full-time Benefits: Cell phone reimbursement Flexible schedule Health insurance Leave encashment Paid sick time Paid time off Work Location: In person Application Deadline: 14/08/2025

Job Description: Generative AI Engineer (GCP, Python, RAG, Vertex AI) Location: Gurugram/Noida Experience Required: 7-9 years (2+ years specifically in Generative AI) Job Summary: We are seeking an experienced and highly skilled Generative AI Engineer with strong hands-on experience in building and deploying AI/ML models, particularly in the domain of Generative AI. The ideal candidate will have deep technical expertise in Python, Flask, Google Cloud Platform (GCP), Vertex AI, prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG) applications. Key Responsibilities: · Design, build, and deploy scalable AI/ML models using Python and Flask, tailored for real-time and batch processing. · Leverage Google Cloud Platform (GCP) services, particularly Vertex AI, for training, hosting, and managing machine learning models. · Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings. · Write and fine-tune prompts for Generative AI models ensuring alignment with application-specific goals. · Create APIs/endpoints for seamless model integration using Flask and RESTful design. · Collaborate closely with product managers, data scientists, and engineers to define and deliver GenAI-powered solutions. · Present findings, models, and technical strategies to both technical and non-technical stakeholders. Required Qualifications: · 8+ years of overall experience in AI/ML domain. · Minimum 2 years of experience specifically in Generative AI applications. · Proven hands-on experience with GCP, especially Vertex AI, AI Platform, and related ML services. · Strong Python programming skills, including development of Flask-based APIs. · Experience with RAG, vector search engines, and embedding models. · Solid understanding of prompt engineering and application of LLMs in production. · Familiarity with deep learning techniques and transformer-based architectures. · Excellent communication and documentation skills. Preferred Skills (Bonus Points): · Exposure to Natural Language Processing (NLP) techniques and libraries. · Experience with tools like LangChain, OpenAI API, or LLamaIndex. · Proficiency in data visualization and data analysis for monitoring model performance. · Familiarity with CI/CD pipelines for ML models and containerization (Docker, Kubernetes). *Immediate joiners required *Excellent Communication skills required as client interaction will be there Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹600,000.00 - ₹900,000.00 per year Schedule: Day shift Application Question(s): How many years of experience do you hold into Gen AI? Do you have experience into GCP cloud services & Vertex AI? Are you open to work on contractual role for 6-8 months? We need to fill this position urgently. Are you an immediate joiner? Experience: AI/ML: 7 years (Required) Language: English (Required) Application Deadline: 26/07/2025 Expected Start Date: 01/08/2025

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. About the position: Senior Engineer – Agentic AI: Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting-edge solutions. As a Senior Engineer – Agentic AI, you will architect and deliver autonomous, goal-driven agents powered by large language models (LLMs) and multi-agent frameworks. Key Responsibilities: Design and implement agentic AI systems leveraging LLMs for reasoning, multi-step planning, and tool execution. Evaluate and build upon multi-agent frameworks such as LangGraph, AutoGen, and CrewAI to coordinate distributed problem-solving agents. Develop context-handling, memory, and API-integration layers enabling agents to interact reliably with internal services and third-party tools. Create feedback-loop and evaluation pipelines (LangSmith, RAGAS, custom metrics) that measure factual grounding, safety, and latency. Own backend services that scale agent workloads, optimize GPU / accelerator utilization, and enforce cost governance. Embed observability, drift monitoring, and alignment guardrails throughout the agent lifecycle. Collaborate with research, product, and security teams to translate emerging agentic patterns into production-ready capabilities. Mentor engineers on prompt engineering, tool-use chains, and best practices for agent deployment in regulated environments. Required: 8+ years of software engineering experience, including 3+ years building AI/ML or NLP systems. Expertise in Python and modern LLM APIs (OpenAI, Anthropic, etc.), plus agentic orchestration frameworks (LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex). Proven delivery of agentic systems or LLM-powered applications that invoke external APIs or tools. Deep knowledge of vector databases (Azure AI Search, Weaviate, Pinecone, FAISS, pgvector) and Retrieval-Augmented Generation (RAG) pipelines. Hands-on experience with LLMOps: CI/CD for fine-tuning, model versioning, performance monitoring, and drift detection. Strong background in cloud-native micro-services, security, and observability. Requisition ID: 610421 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

DUTIES AND RESPONSIBILITIES Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. WORK EXPERIENCE 1–2 years of experience in AI/ML development with specific focus on NLP and LLM-based applications SKILLS, ABILITIES & KNOWLEDGE Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setu Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks and Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme

Job Title: AI Engineer Location: Udyog Vihar, Gurugram Company: Novus Loyalty Experience: Minimum 3 yrs About Novus: Novus is a forward-thinking technology solutions provider specializing in cutting-edge digital transformation services. We help businesses enhance their operations with innovative software solutions, AI-driven analytics, and customer-centric platforms. Job Overview: We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI , and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up to date with emerging AI technologies, tools, and best practices Qualifications & Skills: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills. Why Join Us? Work with cutting-edge AI technologies and cloud infrastructure. Opportunity to lead innovative projects with real-world impact. Collaborative and growth-oriented work culture.

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time 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 ₹6 –10 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.

We are seeking a highly skilled AI/ML Web Scraping Specialist to join our data engineering and analytics team. The ideal candidate will have hands-on experience in building robust web scraping pipelines focused on Instagram and other social media platforms (e.g., Facebook, TikTok, YouTube, X/Twitter) . The role involves designing scalable scraping architectures, solving anti-bot challenges, and applying machine learning to classify, enrich, or analyze social media content. Key Responsibilities Design and implement advanced web scraping tools, scripts, and pipelines using Python (BeautifulSoup, Scrapy, Selenium, Playwright, etc.). Build robust scrapers for social media platforms like Instagram, TikTok, X (Twitter), Facebook, and LinkedIn, bypassing rate limits and anti-bot mechanisms (Cloudflare, reCAPTCHA, etc.). Leverage APIs (when available) and reverse-engineer web/mobile requests to extract structured data. Develop and train ML models for tasks such as content categorization, influencer classification, sentiment analysis, engagement prediction, etc. Automate scraping workflows, schedule jobs (using Airflow/Cron), and store data in NoSQL or relational databases. Maintain and optimize scraping performance, and handle edge cases or UI changes in target platforms. Work with large-scale data pipelines, and ensure clean, deduplicated, and enriched datasets. Collaborate with product, marketing, and data science teams to provide actionable insights from social media data. Required Skills and Qualifications Strong programming skills in Python with proven experience using Scrapy, Selenium, Playwright, or Puppeteer . Deep knowledge of HTTP, HTML DOM traversal, JavaScript rendering, proxies, user agents, and browser automation. Solid understanding of Instagram’s data structures , public endpoints, GraphQL queries, and security challenges. Familiarity with anti-bot bypass techniques : rotating proxies, CAPTCHA solving (2Captcha, AntiCaptcha), session management. Hands-on experience in training and deploying ML models (NLP, classification, clustering) using scikit-learn, TensorFlow, or PyTorch . Experience with MongoDB, PostgreSQL, or Elasticsearch for data storage and retrieval. Good understanding of data privacy, legal considerations, and ethical scraping practices. Preferred Skills Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Knowledge of Instagram Business APIs , Facebook Graph API, and TikTok’s unofficial endpoints. Prior work on influencer discovery, brand monitoring, or social listening tools. Experience in building data dashboards using tools like Streamlit, Power BI, or Tableau . Contributions to open-source scraping libraries or ML projects. Tools & Technologies You Might Use Python, Scrapy, Selenium, Playwright, Puppeteer Pandas, NumPy, scikit-learn, OpenAI APIs PostgreSQL, MongoDB, Redis, Elasticsearch AWS Lambda, EC2, S3, Cloud Functions Git, Docker, CI/CD pipelines

Key Responsibilities: Develop, fine-tune, and deploy LLM-based NLP models for tasks such as text classification, summarization, entity recognition, and question answering. Implement deep learning architectures using TensorFlow and/or PyTorch . Integrate OpenAI APIs and other foundation models into internal applications and tools. Design and build computer vision models for image detection, recognition, classification, and segmentation. Collaborate with cross-functional teams including product managers, data engineers, and UI/UX designers. Stay updated with the latest research trends in AI/ML and apply them to enhance system capabilities. Optimize model performance for scalability, accuracy, and speed. Build pipelines for data preprocessing, model training, validation, and deployment. Document models, experiments, and system behavior for team knowledge sharing. Key Skills & Qualifications: Bachelor's or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related field. Strong hands-on experience with TensorFlow (or PyTorch). Deep understanding of NLP techniques , transformers , BERT , GPT , T5 , etc. Experience working with OpenAI , Hugging Face , or other LLM frameworks. Solid foundation in Computer Vision concepts and frameworks like OpenCV , YOLO , CNNs , Detectron , etc. Proficient in Python and relevant libraries (e.g., Numpy, Pandas, Scikit-learn). Experience with REST APIs, Flask/FastAPI for deploying ML models is a plus. Excellent problem-solving and analytical skills. Preferred: Prior experience in building AI-based SaaS products or intelligent automation solutions. Knowledge of MLOps , model versioning , and cloud platforms (AWS/GCP/Azure). Familiarity with Reinforcement Learning and Generative AI is a bonus. Job Type: Full-time Pay: Up to ₹50,000.00 per month Schedule: Morning shift Work Location: In person

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies Driving the technical discussions with clients along with Project Managers. Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. Mentoring and coaching junior Python/AI/ML engineers. Sharing knowledge through knowledge-sharing technical presentations. Implement new Python/AI features with high quality coding standards. Must-To Have: B.Tech/B.E. in computer science, IT, Data Science, ML or related field. Strong proficiency in Python programming language. Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. Proficient in Debugging and Exception Handling Professional experience in developing and operating AI systems in production. Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). Experience in working in Agile methodology Good-To Have: A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Python framework (Django/Flask/Fast API) & API integration. AI/ML/DL/MLOops certification done by AWS. Experience with OpenAI API. Good in Japanese Language Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Work Location: In person Expected Start Date: 14/08/2025

We are seeking a tech-savvy and innovative AI Automation Executive to support the design, development, and implementation of AI-based automation solutions across business processes. The ideal candidate will be responsible for identifying automation opportunities, building AI workflows, and optimizing operations using modern tools and platforms. Key Responsibilities: Identify business areas and repetitive processes suitable for AI-driven automation. Design and implement automation workflows using AI tools, APIs, and automation platforms (such as Zapier, Make, UiPath, Power Automate, etc.). Develop and maintain chatbots, AI assistants, and other AI-based solutions using tools like OpenAI, Dialogflow, or similar. Collaborate with internal teams to gather requirements and translate them into automation projects. Monitor, analyze, and optimize automated processes for performance, accuracy, and reliability. Ensure data security and compliance standards are followed in automation workflows. Stay updated with the latest trends and tools in AI, machine learning, and process automation. Provide support and training to team members on new AI tools and systems. Document processes, workflows, and best practices for future reference. Requirements: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Experience with AI tools, workflow automation platforms, or scripting languages (e.g., Python, JavaScript). Familiarity with tools like OpenAI, ChatGPT, Zapier, Make (Integromat), Power Automate, or similar. Strong problem-solving and analytical thinking skills. Job Type: Full-time Pay: ₹35,000.00 - ₹45,000.00 per month Work Location: In person

FinDocGPT Internship Opportunity – AI/ML & GenAI Developer Intern Company : ArgyleEnigma Tech Labs Product : FinDocGPT – India’s first AI-powered assistant that decodes complex financial documents in simple, regional language Stipend : ₹8,000 – ₹12,000/month Duration : 6 months Start Date : Immediate About Us At FinDocGPT, we are building a revolutionary product that empowers millions of Indians to understand financial documents like health insurance, loans, and mutual fund T&Cs in their own language – using cutting-edge AI/ML and GenAI technologies . We’re backed by Google for Startups, supported by Reserve Bank Innovation Hub and on a mission to bridge the financial literacy gap in India. Intern Role – AI/ML & Generative AI Developer We are looking for highly motivated interns who want to gain hands-on experience in deploying GenAI models, NLP pipelines, and ML-based document processing. Responsibilities Work on document classification , NER , and summarization using LLMs like LLaMA, Mistral, Groq, and open-source models. Fine-tune or use APIs like LangChain, HuggingFace, OpenAI, and Google Vertex AI Preprocess, clean, and structure financial documents (PDFs, scans, emails, etc.) Implement prompt engineering & RAG-based workflows Collaborate with product & design to build smart, user-friendly interfaces Requirements Strong understanding of Python , NLP , and basic ML concepts Familiarity with transformers, BERT, T5, or GPT architectures Experience (even academic) with HuggingFace , LangChain , or LLM APIs Bonus: Exposure to Google Cloud, AWS , or Docker Hunger to learn, experiment fast, and make real impact What You’ll Gain Direct mentorship from industry experts (ex-Morgan Stanley, PIMCO, Google) Real-world exposure to India-first AI use cases Opportunity to convert into full-time role based on performance Work that will directly impact financial inclusion in India How to Apply? Send your CV, GitHub/portfolio, and 2–3 lines on why you want this role to info@arglyeenigma.com or https://tinyurl.com/hr-aetl with subject: “Internship Application – FinDocGPT” Job Type: Internship Contract length: 6 months Pay: ₹8,000.00 - ₹12,000.00 per month Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Work Location: In person Expected Start Date: 01/08/2025

Key Responsibilities: Design, build, and deploy scalable AI/ML models using Python and Flask, tailored for real-time and batch processing. Leverage Google Cloud Platform (GCP) services, particularly Vertex AI, for training, hosting, and managing machine learning models. Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings. Write and fine-tune prompts for Generative AI models ensuring alignment with application-specific goals. Create APIs/endpoints for seamless model integration using Flask and RESTful design. Collaborate closely with product managers, data scientists, and engineers to define and deliver GenAI-powered solutions. Present findings, models, and technical strategies to both technical and non-technical stakeholders. Required Qualifications: 6-9 years of overall experience in AI/ML domain. Minimum 2 years of experience specifically in Generative AI applications. Proven hands-on experience with GCP, especially Vertex AI, AI Platform, and related ML services. Strong Python programming skills, including development of Flask-based APIs. Experience with RAG, vector search engines, and embedding models. Solid understanding of prompt engineering and application of LLMs in production. Familiarity with deep learning techniques and transformer-based architectures. Excellent communication and documentation skills. Preferred Skills Exposure to Natural Language Processing (NLP) techniques and libraries. Experience with tools like LangChain, OpenAI API, or LLamaIndex. Proficiency in data visualization and data analysis for monitoring model performance. Familiarity with CI/CD pipelines for ML models and containerization (Docker, Kubernetes). Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹50,000.00 - ₹90,000.00 per month

This position will: Develop, integrate, and deploy Gen AI/Agentic AI solutions leveraging AWS for data engineering and Azure OpenAI for LLM-based applications Translate business and technical requirements into robust, scalable, and maintainable code Collaborate closely with architects, data engineers, and data scientists to deliver high-quality solutions Maintain high standards for code quality, documentation, and testing Continuously learn and apply new tools and techniques in AI/ML and cloud development Support troubleshooting, optimization, and enhancement of existing AI solutions Work collaboratively with ServiceNow and Workday teams to ensure AI components integrate smoothly with the virtual assistant and HR workflows Understand and respect the boundaries of responsibility, providing technical support for integrations without direct development on ServiceNow or Workday Implement Gen AI/Agentic AI use cases for the HR function Develop and maintain data pipelines on AWS for ingestion, transformation, and storage of structured and unstructured HR data Integrate Azure OpenAI LLMs with AWS-based data sources and HR applications, ensuring secure and efficient data flow Build and maintain APIs and microservices to support AI-driven HR processes and system integrations Collaborate with data scientists to operationalize models, including fine-tuning, evaluation, and deployment Write unit, integration, and end-to-end tests to ensure solution reliability and performance Document technical designs, code, and deployment processes for maintainability and knowledge sharing Participate in code reviews, provide constructive feedback, and contribute to team best practices Support the integration of AI outputs with ServiceNow and Workday and other HR solutions by developing and maintaining well-documented APIs and data exchange mechanisms Engage in joint troubleshooting and validation sessions with ServiceNow and Workday teams to resolve integration issues Education: Bachelor’s degree in Computer Science, Engineering, or a related field Experience: 3+ years of experience in AI/ML or software development, with exposure to cloud-based environments Required Qualifications: Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Hugging Face) Experience with AWS data engineering tools (e.g., S3, Glue, Redshift) and pipeline development Hands-on experience integrating and consuming Azure OpenAI or similar LLM APIs Familiarity with RESTful API development and microservices architecture Understanding of data security, privacy, and compliance considerations Experience working in collaborative, multi-team environments, especially on projects with platform integrations Preferred Qualifications: Certifications in AWS or Azure cloud platforms Experience with Gen AI frameworks (e.g., LangChain, LlamaIndex) Knowledge of HR domain processes and integrations with systems like Workday Experience with CI/CD pipelines and DevOps practices Strong problem-solving, analytical, and communication skills Exposure to agile development methodologies Familiarity with ServiceNow and Workday integration concepts is a plus About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

This position will: Ensure the quality, reliability, and compliance of Gen AI/Agentic AI solutions, leveraging AWS for data engineering and Azure OpenAI for LLM-based applications Design, develop, and execute comprehensive test plans for AI/ML models, data pipelines, and system integrations Collaborate with architects, developers, and data scientists to validate requirements and solution outputs Maintain high standards for test documentation, defect tracking, and reporting Advocate for best practices in AI/ML testing, including fairness, bias, and explainability Continuously improve testing processes and tools to enhance solution quality Coordinate with ServiceNow and Workday teams to validate end-to-end workflows and ensure seamless integration of AI components Responsibilities: Participate in joint testing efforts, focusing on the interfaces and data exchanges between Gen AI solutions, ServiceNow, and Workday< >Develop and maintain automated and manual test cases for Gen AI/Agentic AI use casesValidate outputs from Azure OpenAI LLMs for accuracy, relevance, fairness, and bias, using both quantitative and qualitative methodsTest AWS-based data pipelines for data integrity, transformation accuracy, and performance under various scenariosPerform end-to-end testing of APIs and microservices that integrate AWS data sources with Azure OpenAI LLMs and HR systemsConduct regression, performance, security, and compliance testing of AI solutions to ensure robustness and reliabilityDocument test results, track defects, and collaborate with developers to resolve issues efficientlyEnsure comprehensive test coverage for HR system integrations (e.g., Workday) and business-critical workflowsParticipate in design and code reviews to provide a quality perspective and identify potential risks earlyWork with ServiceNow and Workday teams to validate data exchanges and workflow triggers, ensuring AI outputs are correctly consumed and acted upon by downstream systemsSupport user acceptance testing (UAT) and integration testing phases involving ServiceNow and Workday and other HR systems Qualifications: Education: Bachelor’s degree in Computer Science, Engineering, or a related field Experience: 2+ years of experience in software, AI/ML, or cloud testing roles Required Qualifications: Familiarity with AWS data engineering environments and test automation frameworks (e.g., PyTest, Selenium)Experience with Prompt finetuning and hyperparameter tuningExperience validating LLM outputs and AI/ML model performanceUnderstanding of data quality, privacy, and compliance requirements in cloud environmentsStrong analytical skills and attention to detailProficiency in writing clear test documentation and defect reportsExperience working in cross-team environments and validating integrations with external platforms Preferred Qualifications: Certifications in AWS or Azure cloud platformsExperience testing Gen AI solutions, LLMs, or HR systemsKnowledge of Azure OpenAI and LLM evaluation techniquesExposure to MLOps and automated model validation pipelinesStrong communication and collaboration skillsExperience with agile development and QA methodologiesFamiliarity with ServiceNow and Workday integration testing is a plus About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Job Overview Are you a knowledgeable ML/AI professional or instructor with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Content Contributor, you will work with the curriculum team to create engaging, instructionally sound learning experiences in the Machine Learning and AI domain. Working with subject matter experts (SMEs), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Skills Required Excellent scripting, writing, and communication skills; able to distil complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. More About Skillsoft Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. For more information, visit www.exlservice.com. Job Summary: We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python , coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making. Key Responsibilities: Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization. Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis. Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs. Build scalable data pipelines and automate data workflows. Work collaboratively with cross-functional teams to define project goals and deliver actionable insights. Communicate analytical results and technical concepts to both technical and non-technical stakeholders. Stay current with advancements in AI/ML and GenAI technologies and frameworks. Required Skills: Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch . Proficiency in SQL for data extraction, joins, and optimization. Solid understanding of machine learning algorithms and data science best practices. Experience handling structured and unstructured data. Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain). Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.

Who WeAre At AI Accountant (AIA), we’re a high-growth fintech startup on a mission to revolutionize how modern businesses manage their finances. Backed by leading investors and powered by a passionate team, we're combining automation and intelligence to build the financial co-pilot for tomorrow’s companies. What We Do AI Accountant provides a full-stack spend and finance management platform that simplifies vendor payments, expense tracking, and compliance. Our platform is built AI-first —leveraging the latest advancements in LLMs, agentic workflows, and retrieval augmented generation (RAG) to empower finance teams with superpowers. Our Vision To build the most trusted and intelligent financial operating system for businesses in emerging markets — one that thinks, learns, and grows with your company. Job Summary As an AI Engineer Intern, you’ll work closely with our product and engineering teams to explore, build, and test AI-powered systems. This role is ideal for someone early in their AI journey but deeply excited about large language models, generative AI, and real-world applications. If you’ve built side projects, participated in hackathons, or explored AI through coursework or self-learning — we’d love to hear from you! What Will You Do? Collaborate with the team to build and improve AI features using LLMs like GPT. Contribute to agentic workflows and retrieval-based systems (RAG). Assist in building evaluation systems to measure how well our models perform. Help train and fine-tune models based on internal use cases. Build POCs for use cases using Agents. Research new GenAI tools and suggest how we can apply them in our platform. Learn how AI models are integrated into real-world software products. What We’re Looking For Strong interest in AI/ML and Generative AI — coursework, personal projects, or open-source contributions are great. Basic proficiency in Python and comfort using libraries like pandas, scikit-learn, or transformers. Some working knowledge about LLMs, vector databases, prompt engineering, and related tools. Ability to work independently and ask questions when stuck — we value curiosity. Bonus: Exposure to tools like OpenAI API, LangChain, Pinecone, or any chatbot building experience. Available for a full-time internship (6 months) based in Bangalore. Why Join AI Accountant? Learn from the best – Work alongside experienced AI engineers, product thinkers, and founders. Work on frontier tech – Gain exposure to LLMs, agentic workflows, and realtime systems. Grow fast – Hands-on experience with the potential for a full-time offer based on performance. Real impact – Contribute to meaningful projects used by real businesses. Collaborative culture – Ask questions, share ideas, and build together. Ready to launch your AI journey with us? If you're excited about generative AI, solving real problems, and learning by building — this internship is for you. Apply now and let's build the future of fintech together Note: This is a paid internship.Skills: pandas,pinecone,vector databases,scikit-learn,ai/ml,openai api,llms,langchain,python,llm,transformers,fintech,generative ai,prompt engineering,retrieval augmented generation (rag)

JD: As an Automation Tester, the candidate will be responsible for developing and executing automated test scripts using Python and the Robot Framework. Candidate will integrate AI technologies to enhance QA processes, ensuring robust and efficient testing methodologies. His/her expertise in AI tools and platforms like Copilot and Cursor will be pivotal in optimizing our testing strategies. Required Skills 1.Integrate AI technologies, including LLMs such as OpenAI's GPT(GPT-3,GPT-4),GitHub Copilot, Anthropic's Claude ,CodeGen into testing processes to enhance efficiency and accuracy. 2.Utilize LLMs to generate test cases, automate documentation, and assist in exploratory testing by predicting potential failure points. 3.Enhance test scripts and processes with AI capabilities to predict and prevent potential failures. Technical Expertise: 4.Stay updated on emerging AI technologies relevant to testing (e.g., Copilot, Cursor). 5.Provide guidance and support on the use of AI tools to improve testing practices. 6.Develop and document automation strategies, tools, processes, and best practices using Python with Robot Framework.

4+ years of experience in AI and machine learning Expertise in Python: Demonstrable experience with Python, including its data science and AI libraries such as TensorFlow, PyTorch, spaCy, and GPT (OpenAI). Familiarity with other programming languages such as Java or C++ is a plus. Azure OpenAI and Cloud Services: Hands-on experience with Azure OpenAI services, and a good understanding of other Azure services such as Azure Machine Learning, Azure Functions, and Azure Logic Apps for integrating AI capabilities. LLM and NLP Techniques: Deep understanding of Natural Language Processing (NLP) techniques, including tokenization, sentiment analysis, entity recognition, and especially the mechanics and applications of Large Language Models (LLMs). Creative Prompt Design: Ability to craft and refine prompts that effectively guide LLMs in producing desired textual outputs. This includes understanding different prompt types, such as zero-shot, few-shot, and chain-of-thought prompting. Strong programming skills in Python and familiarity with AI development tools and libraries. Should have hands-on experience in deploying at least one end to end GenAI project Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skills

Join our Team About this opportunity: We are seeking an experienced Senior Backend Engineer to join our Intelligent Automation and AI engineering team. This role is critical to driving the development of scalable backend systems that enable the enterprise-wide adoption of Generative AI solutions. The ideal candidate will bring strong technical expertise in API orchestration, data engineering, and memory optimization, coupled with a passion for operationalizing AI at scale across business functions. As a key member, you will design and build backend frameworks that power intelligent agents, streamline workflows, and unlock value for diverse business units. What you will do: Architect and develop robust backend systems to enable enterprise AI solutions across finance, operations, HR, and customer support functions. Design and implement data preprocessing and chunking pipelines to ensure efficient use of Large Language Models (LLMs) and cost optimization. Integrate vector databases and relational databases to support hybrid memory architectures for AI agents. Develop API orchestration layers leveraging e.g. LangChain, FastAPI/Django, and enterprise-grade middleware tools. Collaborate with business domain leaders to understand functional requirements and design domain-aware memory strategies for AI-powered workflows. Implement caching, validation, and summarization strategies to deliver accurate, cost-effective, and scalable AI solutions. Ensure secure, reliable integration of AI systems with internal enterprise platforms via REST/SOAP APIs. Document architectural blueprints, technical specifications, and operational workflows for enterprise-wide adoption. Stay ahead of trends in Generative AI and backend engineering to support enterprise transformation objectives. The skills you bring: 8-10 Years of experience. Technical Expertise: Proven experience designing and delivering backend solutions for AI/ML applications at scale. Python Proficiency: Strong hands-on skills with Python (Pandas, Numpy) for data engineering and validation workflows. API Orchestration: Expertise in developing and managing APIs (FastAPI, Django) and orchestrating workflows. Data Management: Experience with vector databases and relational databases LLM Integration: Working knowledge of cloud-based LLM APIs (Claude, OpenAI, Hugging Face) and memory optimization techniques. Enterprise Mindset: Ability to work within large, complex organizations, balancing innovation with operational stability and security requirements. Collaboration: Strong interpersonal skills to work with cross-functional business and IT teams in a transformation context. Preferred: Exposure to agentic AI architectures and designing token-efficient AI workflows for enterprise use cases. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 769360

About the Role We are seeking a dynamic and experienced Manager – AI to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI , Natural Language Processing (NLP) , and Machine Learning (ML) within the pharmaceutical industry. As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI. This role combines strategic leadership, technical depth, and hands-on execution—ideal for a candidate passionate about operationalizing cutting-edge AI technologies for real-world impact in life sciences. Key Responsibilities Lead and manage the end-to-end lifecycle of AI/GenAI projects, from scoping and architecture to development, testing, deployment, and optimization. Guide the development of intelligent agents , LLM-powered chatbots , and voice-enabled systems tailored to pharmaceutical and enterprise use cases. Architect context-aware GenAI solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and multimodal models. Oversee fine-tuning of LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) and drive responsible AI evaluation practices (e.g., hallucination mitigation, prompt robustness). Collaborate with cross-functional stakeholders including product owners, regulatory teams, and business leads to align AI solutions with strategic goals. Lead and mentor a team of AI/ML engineers and researchers, fostering technical growth and high performance. Stay current with emerging trends in GenAI, open-source models, agent frameworks, and voice tech; translate advancements into practical applications. Ensure projects adhere to regulatory , compliance , and data governance standards , particularly in a GxP or HIPAA-compliant environment. Drive innovation culture by piloting proofs-of-concept and scaling successful initiatives across the organization. Requirements Minimum 6+ years of experience in AI/ML/NLP, including at least 3 years in GenAI technologies and team leadership or technical program management. Deep expertise in LLMs/SLMs , including prompt engineering, fine-tuning, and building production-ready GenAI applications. Experience with RAG pipelines , vector search (FAISS, Pinecone, Weaviate), and embedding models. Strong coding skills in Python and experience with frameworks like Hugging Face, LangChain, LanGraph, OpenAI/Anthropic SDKs. Experience with API development , MLOps , and deploying models using containers or cloud-native tools. Proven ability to lead cross-functional teams and translate business needs into scalable AI systems. Strong analytical thinking, problem-solving, and architectural design capabilities. Nice to Have Experience building or integrating voice assistants , speech-to-text APIs , or multimodal GenAI interfaces . Familiarity with agent frameworks (e.g., CrewAI, AutoGen, LangGraph) for autonomous AI workflows. Understanding of regulatory frameworks in life sciences (GxP, HIPAA, GDPR, etc.). Prior exposure to enterprise IT systems in the pharmaceutical or healthcare domain. Educational Qualifications Bachelor’s in Engineering (B.E./B.Tech.) or Master’s in Computer Applications/Technology (MCA/M.Tech.). Certifications or specialization in AI/ML/Data Science are highly desirable. Benefits We Offer Free in-house gym for employee wellness. Exposure to high-impact projects Inclusive, innovation-driven culture with opportunities for career growth and leadership.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. In this role, you will: Act as a senior technical developer in the AI ML pod covering DCOO, procurement and supporting other CET functions Deliver initiatives and book of work including: Design, development and implementation of AI/ML initiatives and proof of concepts Coach other developers in AI ML technologies Develop new approaches and technical solutions based on use cases from across CET Build strong relationships with vendors to ensure high performance and robust/resilient service delivery Cultivate an environment that supports diversity and reflects the HSBC brand and values. Remain current on AI, ML, data, digital and emerging trends affecting the Financial Services industry Coach team members and developers in AI ML Engage with business stakeholders across corporate function to deliver tangible results from AI initiatives Requirements To be successful in this role, you should meet the following requirements: An experienced technical developer with a track record of on time hand on delivery of code, documentation and innovation. Knowledge of CET data assets and use cases. Strong data and integration experience and an understanding of APIs. Track record of DevOps and Agile adoption and optimisation. Excellent written skills with ability to express complex topics and problems effectively. Proven experience of delivering ML and AI initiatives to completion Experience of Python, Java, OpenAI or other LLMs, AI ambassador course, TensorFlow, understanding the inner workings of LLMs, how to tune RAG/chunking/LLMs Experience of key CET and HSBC systems such as ServiceNow desirable Experience of cloud platforms such as GCP and AWS desirable Ability to coach and mentor developers You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

Full Stack Developer (React + AI Tools Development) for Chandigarh with Experience of 3+ years We are a forward-thinking company building AI-driven tools and solutions that empower businesses to work smarter. We’re looking for a talented Full Stack Developer to join our team and play a key role in designing and developing our AI-based applications and platforms. What You’ll Do Design, build, and maintain robust frontend applications using React JS with a focus on high performance and seamless user experience. Architect and implement backend systems including databases (schema design, optimization) and server-side logic. Design and integrate RESTful and GraphQL APIs for our AI tools and other applications. Collaborate closely with the product and AI teams to translate AI-driven features into functional software solutions. Contribute to system architecture , ensuring scalability, security, and maintainability of AI solutions. Participate in code reviews, testing, and deployment processes to ensure quality and reliability. Stay up-to-date with the latest AI toolkits, APIs, and frameworks and help integrate them into our solutions. Must-Have Skills 3+ years of experience in Full Stack Development Strong expertise in React JS for frontend development Solid understanding of database design (SQL / NoSQL) and schema architecture Experience designing RESTful APIs / GraphQL APIs and integrating third-party APIs Ability to contribute to system architecture design and backend logic Comfort with source control (Git), CI/CD workflows, and agile development Bonus / Nice-to-Have Exposure to AI tools, APIs, or libraries (e.g. OpenAI, LangChain, HuggingFace, vector databases, RAG architecture) Experience with cloud platforms (AWS / GCP / Azure) Familiarity with prompt engineering , AI integrations, or chatbot frameworks Knowledge of TypeScript What We Offer Opportunity to work on innovative AI-driven products Collaborative and supportive team culture Competitive compensation  How to Apply If you’re passionate about full stack development and excited about building AI-powered solutions, we’d love to hear from you.