4225 Openai Jobs - Page 41

Job Description: We are hiring an AI Engineer to join our cutting-edge team at BotPenguin , where we build smart, conversational, and AI-first solutions. If you're passionate about LLMs , NLP , and building intelligent systems that make a difference, this role is for you! You will work with large language models (LLMs), build NLP pipelines, deploy ML models, and collaborate across teams to develop AI-powered chatbots and virtual agents that enhance customer experience at scale. Key Responsibilities: Build and optimize AI-powered chatbots and virtual agents using LLMs and NLP. Design and deploy scalable machine learning models using Docker/Kubernetes or AWS/GCP. Integrate LLM APIs (e.g., OpenAI, Claude, LLaMA) and implement Retrieval-Augmented Generation (RAG) . Work with vector databases like FAISS, Pinecone, or Elastic Vector DB. Conduct model performance tuning, prompt testing, and AI debugging. Collaborate with Product, Backend, and UI teams to integrate AI solutions. Explore research papers and open-source innovations for rapid experimentation. Write clean, testable, and well-documented code. Guide and review code from junior developers. Required Skills & Qualifications: Education: Bachelor's or Master’s degree in Computer Science, AI, ML, or related fields. Experience: 2–5 years in AI/ML or software engineering roles. Technical Skills: Python, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers NLP: Intent classification, text generation, summarization LLMs: OpenAI, Claude, LLaMA Vector DBs: Pinecone, FAISS, Elastic Vector DB Prompt engineering, RAG, embeddings ML deployment with Docker, Kubernetes, AWS, or GCP GitLab/GitHub, Agile development Soft Skills: Strong analytical and problem-solving skills Passion for research and innovation Effective communication and cross-team collaboration High attention to model performance, accuracy, and scalability Mandatory Certification: While certification is not strictly required, having one or more of the following is a plus : TensorFlow Developer Certificate Hugging Face LLM Certification AWS Machine Learning Specialty Job Type: Full-time Pay: ₹60,000.00 - ₹100,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you available to join immediately or within one week? Education: Bachelor's (Required) Experience: AI Engineer: 5 years (Required) Work Location: In person

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity: Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity: As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process. Objectives: As a Salesforce Data Cloud, EINSTEIN, Agentforce Software Engineer, you'll combine technical skills on Salesforce Data cloud, Agentforce(GENETIC AI) ,business acumen and development qualities to build solutions that enable transformative capabilities within Takeda. You will support the Platform Owner in onboarding and facilitating the effective utilization of these platforms. You will play a key role in developing and building GENAI use cases leveraging LLM(Open-AI, chatGpt4.0 etc), Salesforce Data cloud, EINSTEIN and Agentforce . Key Responsibilities: Act as the technical developer for building agentic UI experience for our commercial and medical users Clarification of technical details in backlog items and technical design and build of backlog items. Set standards & best practices within capability, and encourage adherence to those. Proactively address any risks & issues together with the team, and raise to program/portfolio oversight, as required Ensure appropriate level of technical documentation. Cross-pollination of applicable standards & practices between teams. Discussion on business requirements with stakeholders. Pro-active suggestions of new features or tools. Alignment & communication with other service lines on overarching practices & approaches. Ensure re-useability of features within business functions. Build and optimize generative AI applications using models like GPT, LLaMA, Gemini, OpenAI or custom models Create effective prompts and fine-tune models for specific domains, ensuring high accuracy and relevance. Develop APIs, microservices, and integrate generative AI models into production environments. Collect, clean, and preprocess datasets for model training and evaluation. Conduct experiments with various model architectures, hyperparameters, and training strategies to enhance performance. Work closely with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions. Implement AI governance, bias detection, and responsible AI practices in accordance with ethical and regulatory standards. Keep up with the latest research and advancements in generative AI, NLP, and multimodal AI technologies. Should understand capabilities of salesforce agentforce and datacloud. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Bachelor’s degree in computer science or a related study, or equivalent experience 3+ years of relevant professional experience in working in native UI/UX capabilities(react.js. HTML. CSS) Strong understanding of UI Framework(Bootstrap, Material UI, Semantic UI) Experience in salesforce data cloud and Agentforce, Proficiency in Python: , TensorFlow, PyTorch, or similar ML frameworks. Experience with Large Language Models (LLMs): , transformers: , and generative architectures: Knowledge of prompt engineering: and fine-tuning techniques: . Familiarity with APIs: , REST, and microservice development. Experience in Agile development using agile methods like Scrum and/or Kanban Excellent oral and written communication skills, business acumen, and enterprise knowledge. Strong experience in design or in implementing solutions or products and preferable experience in quality improvement. Understand design thinking and can explain and convince stakeholders. Understands pharma and experience working in AI space with pharma customers Work with virtual/agile teams in different locations, aligning and adapting different work, culture, and communication styles Proficiency in English in both verbal and written communication is a must. WHAT TAKEDA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time

Location: Hyderabad & Vijayawada, India (Work from Office) Experience Required: Minimum 2 years in the AI/ML training domain Department: Learning & Development / Education & Training Company: Datavalley.ai About Datavalley.ai: Datavalley.ai is a leading AI education and research organization, committed to enabling the next generation of AI professionals. Through cutting-edge training programs, industry-aligned curriculum, and applied learning, we help learners and organizations stay ahead in the fast-evolving field of Artificial Intelligence. Role Overview We are seeking an experienced and passionate AI/ML Trainer with strong expertise in Generative AI to join our training division. The ideal candidate will be responsible for designing and delivering comprehensive training programs to college students, early professionals, and corporate learners. This role requires both technical depth and an ability to communicate complex concepts clearly and effectively. Roles & Responsibilities: Design and deliver structured AI/ML and Generative AI training programs (both online and offline formats). Teach core concepts in AI, ML, Deep Learning, and Generative AI (LLMs, GANs, VAEs, Diffusion Models, Prompt Engineering, etc.). Stay current with the latest advancements in AI/ML research, tools, and frameworks. Create assignments, assessments, and projects that reinforce learning outcomes. Customize training content to match the academic and industry background of learners. Provide mentorship and guidance to learners, supporting their projects and career goals. Collaborate with the curriculum and content teams to continuously improve training material. Conduct regular feedback sessions and performance evaluations of students. Skills Required: Minimum 2 years of hands-on experience in AI/ML training, mentoring, or instructional roles. Proven knowledge of core ML/DL algorithms and frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in teaching or implementing Generative AI concepts (e.g., LLMs, Transformers, Diffusion, RLHF). Strong programming skills in Python and related data science libraries. Ability to simplify technical concepts for diverse learner backgrounds. Good communication and presentation skills. Experience with tools like Jupyter Notebooks, Google Colab, Hugging Face, and OpenAI APIs is a plus. Qualifications: We welcome applicants from all educational backgrounds who can demonstrate deep knowledge of AI/ML and strong teaching skills. Any Bachelor's or Master's degree (B.E./B.Tech/M.Tech/B.Sc/M.Sc/BCA/MCA/MBA or equivalent). What matters most is your experience, clarity of concepts, and passion for teaching AI/ML and Generative AI. Certifications in AI/ML, Deep Learning, or GenAI (from Coursera, edX, Udacity, or similar) will be considered an added advantage. What We Offer Opportunity to work with a visionary team building India’s AI talent pipeline. Access to cutting-edge tools, curriculum, and research resources. Flexibility to design and shape innovative learning experiences. Career growth in one of the fastest growing sectors in technology. Additional Notes Trainers must be open to visiting partner colleges or institutions across Specified location(Telangana and Andhra Pradesh) to deliver on-campus training, seminars, and workshops as needed. Travel expenses and logistics will be supported by the company for such engagements. How to Apply Send your resume and a brief cover letter to artishukla@datavalley.a i with the subject: “Application for AI/ML Trainer – Generative AI Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

Apply only if you are: Willing to relocate to Indore and working from Office. You can attend an In-Office Interview. You have Experience with the Mandatory Skills mentioned in the JD below. JS TechAlliance Consulting Private limited is a global IT solutions company that provides full-cycle services in the areas of software development, web-based enterprise solutions, mobile application design, and portal development. We combine solid business domain experience, technical expertise, profound knowledge of industry trends, and a quality-driven delivery model to offer progressive end-to-end web solutions. Our goal is to provide specialized mobile software and web business solutions while providing business consulting to our clients. Our team of Android/iOS/J2EE/Web professionals has rich IT experience and a better capability to understand your business world. Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP)-(Mandatory) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 5+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs.(Mandatory) 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interaction fidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Can you attend an In-office Interview? Do you live in Indore? Can you join on Immediate basis? Education: Bachelor's (Required) Experience: Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Python: 5 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. Role Summary: This is a client-facing leadership role responsible for managing strategic relationships, designing and delivering advanced analytics and AI/GenAI solutions, and driving measurable impact across global life sciences organizations. The ideal candidate will blend deep pharma domain knowledge, modern AI/ML expertise, and strong consulting acumen to shape and deliver differentiated solutions to commercial and brand teams at top pharmaceutical and biotech companies. Key Responsibilities: Client Engagement & Advisory (40%): Act as a strategic advisor to brand, commercial, and analytics leaders in global pharma clients. Lead consultative discussions on AI/analytics roadmaps, omnichannel strategy, forecasting, and performance management. Present insights, influence stakeholders, and translate analytics into compelling narratives that drive decisions. AI-Enhanced Analytics Delivery (30%): Oversee delivery of AI-enabled solutions across domains like: Dynamic segmentation & targeting Next-best-action engines Predictive HCP behavior models LLM-based insight generation (GenAI) Brand performance diagnostics Ensure robust quality, timeliness, and strategic relevance of deliverables. Team & Capability Development (20%): Lead and grow a high-performing team of consultants, data scientists, and domain experts. Define and scale reusable AI/GenAI assets, frameworks, and accelerators. Partner with internal technology, data, and innovation teams to align on platform evolution. Practice Growth & Innovation (10%): Contribute to RFPs, proposals, and solutioning for new business opportunities. Develop PoVs, whitepapers, and use cases to position the firm as a leader in commercial AI/GenAI. Continuously scan the market for new pharma AI applications, platforms, and data partnerships. Required Qualifications: Master’s degree or higher in Data Science, Life Sciences, Business Analytics, or related field. 10–15 years of experience in commercial pharma analytics, including at least 3–5 years in a client-facing vendor/consulting role. Strong understanding of commercial pharma data: IQVIA (NRx/TRx), patient claims, CRM, HCP engagement, formulary/market access data. Experience delivering AI/ML/GenAI-driven solutions in real-world commercial use cases. Proven ability to engage with senior pharma stakeholders (Directors, VPs, GMs) and lead large programs. Preferred Skills: Familiarity with GenAI tools: OpenAI APIs, Claude, LLM summarization tools, Insight copilots. Experience with tools like Python/R, SQL, Tableau/Power BI, Databricks/Snowflake. Hands-on understanding of pharma GTM processes (launch excellence, sales ops, brand planning). Core Competencies: Strategic thinking and business storytelling Strong client presence and relationship building AI fluency – ability to evangelize and translate tech to value Project management and operational excellence Thought leadership and innovation mindset

POSITION SUMMARY Newlight Solutions is a global digital‑transformation firm with offices in Jaipur and New York. We design, build, and operate mission‑critical low‑code systems—across supply chain, finance, healthcare, public sector, and beyond—using Appian as our primary platform and AI components where they deliver clear value. We are hiring a Senior Appian Developer to lead full‑cycle delivery: architecture, implementation, quality assurance, and client demonstrations. You will mentor mid‑level engineers, curate development standards, and drive continuous improvement as we scale. KEY RESPONSIBILITIES Design and develop performant Appian applications—data models, process models, interfaces, Records, Sites, and role‑based security. Facilitate requirement‑gathering workshops and convert business objectives into detailed technical specifications and user stories. Prepare workload estimates, sprint plans, and resource forecasts to keep delivery predictable. Define and enforce Appian design patterns, coding standards, and naming conventions across all project artefacts. Conduct performance tuning, load‑testing, and capacity planning to ensure applications scale reliably. Maintain comprehensive technical documentation (architecture decks, release notes, runbooks) for internal teams and client stakeholders. Coordinate environment management—version control, package migration, and hot‑fix roll‑outs—in collaboration with DevOps. Manage change‑control logs, assess delivery risks, and drive remediation plans before issues escalate. Track emerging Appian features and industry trends; recommend platform upgrades or POCs that add measurable value. REQUIRED QUALIFICATIONS 4 + years of end‑to‑end Appian delivery with at least two full production go‑lives where you owned architecture and build; Level 2 certification mandatory, Level 3 strongly preferred. Deep command of the full Appian feature set—SAIL interfaces, Records, Data Fabric, Sites, Process Models, Decision Objects, and role‑based security. Integration expertise: REST/SOAP APIs, RDBMS, OAuth2 / OIDC, SAML SSO, webhooks; able to diagnose latency and security issues in distributed environments. Hands‑on development of Appian plug‑ins in Java; proficiency in Python or JavaScript for auxiliary scripts and micro‑services is a plus. Demonstrated senior developer capability—regularly conduct code reviews, mentor junior developers, and drive Agile ceremonies (refinement, sprint planning, retrospectives). Exceptional verbal and written communication skills; comfortable translating complex technical decisions into clear business impact for executive stakeholders. PREFERRED QUALIFICATIONS Experience embedding OpenAI / Azure OpenAI or AI Skills into Appian solutions. Familiarity with Mendix, Microsoft Power Platform, or micro‑services architectures. Prior technical‑lead or mentorship experience in Agile delivery teams. SUCCESS METRICS – FIRST 6 MONTHS Two production go‑lives with fewer than 1 % post‑deployment defects. Organisation‑wide adoption of your security‑by‑design checklist. Clients explicitly request your involvement in roadmap or enhancement sessions. BENEFITS & WORKING ENVIRONMENT Compensation aligned with top‑quartile India / global‑remote benchmarks. Annual professional‑development allowance (training or certifications). Technology stipend for preferred hardware and home‑office setup. Flexible, results‑oriented schedule within a distributed‑team model. Opportunities to work on diverse, high‑impact projects across industries and geographies. ABOUT NEWLIGHT SOLUTIONS Newlight Solutions is a founder‑led digital‑transformation firm specialising in AI‑driven hyper automation, Appian low‑code delivery, and next‑generation RPA. We transform complex, fragmented processes into secure, seamless digital experiences—and we value technical excellence, transparent communication, and measurable results. HOW TO APPLY Click Easy Apply to submit your résumé. Prefer to showcase your work? Email a brief demo video or portfolio to shivani@newlightsolutionsgroup.com . We respond to every qualified applicant within 48 hours.

We’re looking for a hands-on backend expert who can take our FastAPI-based platform to the next level: production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. Note: This role is being hired for one of our client companies. The company name will be disclosed during the interview process. WHAT YOU'LL BUILD 1. Core Backend Enhancements Build APIs Harden security (OAuth2/JWT, rate-limiting, SecretManager) and observability (structured logging, tracing) Add CI/CD, test automation, ,health checks and SLO dashboards 2. Awesome UI Interfaces React.js/Next.js, Redact/Context, Tailwind / MUI / Custom-CSS / Shadcn / Axios 3. LLM & Agentic Services Design micro/mini-services that host and route to OpenAI, Anthropic, local HF models, embeddings & RAG pipelines Implement autonomous/recursive agents that orchestrate multi-step chains (Tools, Memory, Planning) 4. Model-Inference Infrastructure Spin up GPU / CPU inference servers behind an API gateway Optimize throughput with batching, streaming, quantization & caching (Redis / pgvector) 5. NLP & Data Services Own the NLP stack: Transformers for classification, extraction, and embedding generation. Build data pipelines that join aggregated business metrics with model telemetry for analytics TECH STACK YOU'LL WORK WITH 1.Fullstack/Backend Infrastructure • Python, FastAPI, Starlette, Pydantic • Async SQLAlchemy, Postgres, Alembic, pgvector • Docker, Kubernetes, or ECS/Fargate - AWS (Or) GCP • Redis / RabbitMQ / Celery (jobs & caching) • Prometheus, Grafana, OpenTelemetry • If you are a full-stack person, then - react.js / next.js / shadcn / tailwind.css / MUI 2.AI / NLP • HuggingFace Transformers, LangChain / Llama-Index, Torch / TensorRT • OpenAI, Anthropic, Azure OpenAI, Cohere APIs • Vector search (Pinecone, Qdrant, PGVector) 3. Tooling • Pytest, GitHub Actions • Terraform / CDK preferred MUST HAVE EXPERIENCE • 3+ yrs building production Python REST APIs (FastAPI, Flask, or Django-REST) • SQL schema design & query optimization in Postgres (CTEs, JSONB) • Deep knowledge of async patterns & concurrency (asyncio, AnyIO, celery) • Crafted awesome UI Applications that integrate with the backend API • Hands-on with RAG, LLM/embedding workflows, prompt-engineering & at least one of “agent-ops” frameworks (LangGraph, CrewAI, AutoGen) • Cloud container orchestration (Any of K8s, ECS, GKE, AKS, etc.) • CI/CD pipelines and infra-as-code NICE-TO-HAVE EXPERIENCE • Streaming protocols (Server-Sent Events, WebSockets, gRPC) • NGINX Ingress / AWS API Gateway • RBAC / multi-tenant SaaS security hardening • Data privacy, PII redaction, secure key vault integrations • Bitemporal or event-sourced data models WHY DOES THIS ROLE MATTER? We’re growing fast. Products are live, but evolving. Challenges are real, and the opportunity to own systems end-to-end is massive. You’ll lead how we scale AI services, work directly with the founder, and shape what the next wave of our platform looks like. If you’re looking for meaningful ownership and a chance to work on hard, forward-looking problems, this role is for you.

We are looking for a skilled and creative Generative AI Engineer with 3 to 4 years of experience to join our AI/ML team. You will work on designing, fine-tuning, and deploying generative models (text, image, audio, or multi-modal) that power next-gen AI applications across business verticals. This is a hands-on role requiring a solid understanding of deep learning, model training/inference pipelines, and deployment best practices. Key Responsibilities • Build and fine-tune generative models using transformer architectures (e.g., GPT, LLaMA, T5, BERT) and diffusion models (e.g., Stable Diffusion). • Integrate LLMs into production workflows using APIs or custom backends. • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases like FAISS, Qdrant, or Pinecone. • Optimize prompt engineering and chain-of-thought logic for domain-specific tasks. • Evaluate model outputs for accuracy, relevance, hallucination rate, and latency. • Collaborate with product and engineering teams to turn prototypes into scalable systems. • Contribute to model monitoring, drift detection, and feedback loops for continual improvement. Required Skills • 23 years of experience working with machine learning models, with a focus on generative AI. • Proficient in Python and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). • Hands-on experience with OpenAI API, LangChain, or LlamaIndex. • Familiarity with vector databases (FAISS, Qdrant, Pinecone) and embedding models. • Strong understanding of LLM behavior, including prompt design, token limits, and context handling. • Experience deploying models using FastAPI, Docker, and cloud platforms (AWS, GCP, or Azure). • Good grasp of model evaluation, explainability, and safety techniques. Preferred Qualifications • Experience with multimodal AI (e.g., text-to-image, text-to-audio). • Exposure to MLOps workflows, CI/CD for ML pipelines. • Contributions to open-source AI projects or research papers. • Knowledge of privacy-preserving AI, RLHF, or federated learning is a plus.

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Propose and validate AI/ML use cases based on business data and stakeholder needs. - Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. - Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). - Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. - Ensure data quality, model interpretability, and ethical AI practices. - Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - 3–4 years of hands-on experience in data science and machine learning. - Proficient in Python and ML libraries - Experience with data wrangling, feature engineering, and model evaluation. -Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). - Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). - Strong communication and storytelling skills with a data-driven mindset. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Work Location: In person

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.