101 Ai Algorithms Jobs - Page 4

We are looking for an experienced AI Developer or aspiring CTO who is ready to take up a co-founder-level role and lead the entire AI development.This is not just another jobit’s an opportunity to build a game-changing product from the ground up , shape the company’s future, and be rewarded with long-term equity and profits. Responsibilities Take end-to-end ownership of AI product development (design, architecture, implementation, optimization). Build and deploy AI/ML/NLP models for intelligent data extraction, analysis, personalization, and automation. Integrate third-party APIs (e.g., ChatGPT API, Make.com, Apify, Hunter, Apollo, etc.). Work closely with frontend/backend teams to build seamless user experiences. Continuously monitor, evaluate, and optimize AI solutions. Contribute to product strategy and roadmap as part of the core leadership team. Create scalable, secure, and modular systems for AI agents, market research tools, and CRM components. Must-Have Qualities Strong experience in AI/ML/NLP (e.g., OpenAI, LangChain, vector databases, RAG pipelines). Proven expertise in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch). Experience with APIs, automation workflows, no-code/low-code integrations, and AI infrastructure. Startup mindset: proactive, resourceful, and comfortable working with ambiguity. Entrepreneurial drive with a hunger to build and scale. Ability to independently manage projects, deadlines, and product cycles. Preferred Qualities Experience building AI products from scratch (especially SaaS platforms). Familiarity with marketing tech, web scraping, data enrichment tools. Prior startup or product-building experience (bonus if you’ve been a founder/CTO). Understanding of business and user-driven product development. What’s in It for You? Profit-Sharing : A percentage of profits plus salary as a founding team member. ESOPs : Earn equity based on performance, commitment, and milestones. Founder's Track : You’re not just an employee—you grow with the company as a leader. Ownership & Autonomy : You’ll define the AI roadmap and lead technical vision. Impact & Innovation : Directly influence how hundreds of businesses use AI to grow.

The JD for AI/Ml programmer is given below: Key Responsibilities: Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models). Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use. Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools. Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. Optimize inference pipelines for performance, latency, and scalability. Collaborate with product managers and data scientists to prototype and productionize AI features. Stay updated on recent advancements in Generative AI and autonomous agents. Required Qualifications: 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) . Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning . Familiarity with agent orchestration frameworks and LLM tool chaining . Strong problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases). Knowledge of Reinforcement Learning or Meta-learning for agent training. Experience contributing to open-source projects or published papers in the field of AI.

Over a 12-month traineeship you will become our in-house “prompt-engineering & automation hacker,” rapidly applying ready-made AI tools (ChatGPT, Claude, Midjourney, Firefly, Zapier, etc.) to speed up creative, sales-ops and data Required Candidate profile • Shadow data, sales-ops & marketing teams to map routine tasks.• Complete foundational courses on prompt engineering & ethical AI. • List AI SaaS tools relevant to real-estate and compare cost, Perks and benefits The post of Trainee Engineer

Role: Gen AI Architect Experience: 10+Yrs Locations: multiple Locations Role & responsibilities Bachelors or master's in computer science, Computational Linguistics, Data Science, or a related field. 3+ years of experience in NLP, machine learning, or AI-related roles. Overall 12+ years of experience. Experience with large language models (e.g., GPT-3, GPT-4, BERT) and prompt engineering. Experience in API integration and application development Familiarity with cloud platforms (Azure, AWS, Google Cloud) and machine learning frameworks (TensorFlow, PyTorch). Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage. Familiarity with RPA tools (UiPath, Automation Anywhere) is a plus. Strong problem-solving and analytical skills, with the ability to work collaboratively in cross-functional teams.

As a Strategy & Influencer Intern, you’ll work alongside strategists and creative planners to develop impactful campaign strategies that are powered by both cultural intuition and AI-driven intelligence.

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492

and The ideal candidate will lead AI innovation, optimize AI models for clinical decision support, medical imaging, patient engagement, and enterprise process automation. Key Responsibilities 1. Develop and deploy AI/ML solutions with a focus on healthcare AI (clinical NLP, radiology AI, predictive analytics) and enterprise AI (automation, intelligent chatbots, document processing, and knowledge management). 2. Fine-tune and optimize LLMs (GPT-4, Med-PaLM, Gemini, LLaMA, Claude) for medical and enterprise applications. 3. Implement Retrieval-Augmented Generation (RAG) to enhance AI-driven decision-making in healthcare diagnostics, patient interaction, and enterprise knowledge management. 4. Build and integrate AI-powered chatbots, virtual health assistants, and AI co-pilots to improve patient engagement and enterprise workflows. 5. Utilize vector databases (FAISS, Pinecone, Weaviate) for AI-driven clinical data retrieval and enterprise document search. 6. Deploy AI solutions using cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face Hub) and MLOps pipelines for scalability. 7. Ensure AI solutions comply with healthcare regulations (HIPAA, GDPR, FDA AI/ML regulations) and enterprise security policies. 8. Collaborate with healthcare professionals, enterprise teams, and engineers to align AI solutions with business and medical needs. 9. Stay ahead of advancements in explainable AI (XAI), AI ethics, bias mitigation, and regulatory compliance. Required Skills & Experience 1. Exp. in AI/ML development, with expertise in GenAI, LLMs, and applied AI for Healthcare & Enterprise AI. 2. Strong proficiency in Python and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow, or JAX. 3. Hands-on experience with LLM fine-tuning, prompt engineering, and model optimization for healthcare diagnostics, medical text processing, and enterprise automation. 4. Experience in healthcare NLP (de-identification, medical summarization, clinical decision support) and enterprise AI (workflow automation, document intelligence, AI-powered search & knowledge retrieval). 5. Proficiency in MLOps, cloud AI services (AWS, GCP, Azure), and deploying AI models at scale. 6. Understanding of multi-modal AI (text, vision, audio) for medical imaging, voice AI for telemedicine, and AI-powered enterprise solutions. 7. Ability to lead AI teams, manage AI projects, and drive AI innovation for business impact. Nice to Have Experience with biomedical AI (e.g., Med-PaLM, BioGPT), federated learning for healthcare data privacy, and AI for clinical trials. Knowledge of AI compliance frameworks (FDAs Good Machine Learning Practice, AI risk management for enterprises). Familiarity with AutoML and low-code AI for rapid prototyping in enterprise AI. Contributions to open-source healthcare AI projects or AI research publications. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach hehelplps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit https://www.smartdatainc.com Please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930

Role & responsibilities Skilled in Python, SQL/NoSQL, AI/ML fundamentals, Natural Language processing techniques, supervised fine-tuning, unsupervised clustering, regression techniques. develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG Preferred candidate profile Must be 2025 Graduate Only. Must be familiar with LLM -based Retrieval-based pipelines from complex metadata in documents (e.g., free form text, tables and figures), prompting approaches (e.g., React, multimodal-react, thought-prompting etc.) and conversational Human/Assistant dialogues to generate responses that are factually correct and may involve multi-step reasoning

Build & deploy real-time ML/AI models, analyze data, prototype features, and integrate AI via OpenAI/Gemini APIs. Req: Python, Java, TF, AWS, NLP, pipelines, comms. Bonus: MLOps, LLMs, certs. Bachelors+ in CS/Data Science preferred. Accessible workspace

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

Ajanta Pharma is looking for Executive/Sr. Executive - AI to join our dynamic team and embark on a rewarding career journey AI System Development: Design and develop AI systems and applications, including machine learning models, neural networks, and natural language processing algorithms Data Analysis: Analyze large datasets to identify trends, patterns, and insights that can be used to improve AI models and systems Algorithm Development: Create and optimize AI algorithms for specific tasks, such as image recognition, speech processing, or data analysis Model Training: Train machine learning models using labeled data and fine-tune them to improve accuracy and performance AI Integration: Integrate AI technologies into existing software, systems, or processes to automate tasks, enhance user experiences, and provide data-driven insights Research and Innovation: Stay updated with the latest advancements in AI research and technology, and explore innovative applications for AI in various domains

Job Title: Part-Time Data Scientist (Contract) Location: Gurgaon Experience Required: 6+ years Job Description: We are seeking an experienced and highly skilled Data Scientist/AI Developer for a part-time, contract-based position in Gurgaon. The ideal candidate will have extensive experience in Generative AI , Deep Learning applications, and Conversational AI systems , with a focus on creating innovative solutions using cutting-edge technologies. We are looking for a professional who can not only deliver exceptional results but also mentor team members, guide junior professionals, and help build and grow our AI/ML practice to new heights. Key Responsibilities: Develop and deploy advanced conversational AI systems and chatbots using the RASA framework . Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RaG) techniques to enhance chatbot capabilities. Design and implement AI-driven solutions that align with client objectives, ensuring seamless performance and functionality. Build and optimize natural language processing models, including intent recognition , slot filling , and entity recognition . Collaborate with cross-functional teams to deliver scalable, cloud-based deployments and CRM integrations, such as Salesforce. Utilize frameworks and tools like LangChain , Google Dialogflow , OpenAI (LLaMA, GPT) , and Whisper ASR for efficient AI development. Leverage expertise in Prompt Engineering , Transformers , and advanced Natural Language Understanding (NLU) for robust AI system development. Employ containerization and deployment technologies like Docker and Kubernetes for streamlined development workflows. Required Skills & Qualifications: Programming Languages: Expert in Python. AI/ML Frameworks: Proficient in RASA, Google Dialogflow, IBM Watson, OpenAI tools (LLaMA, GPT), and LangChain. Natural Language Processing: Strong expertise in Transformers, Intent Recognition, Slot Filling, and Entity Recognition. Generative AI: Proven experience with LLMs and Retrieval-Augmented Generation (RaG). Tools & Technologies: Familiarity with Docker, Kubernetes, Git, and Whisper ASR. CRM Integration: Hands-on experience with Salesforce integration. Other Skills: Prompt Engineering, Cloud-based Deployments, and Bot Frameworks. Experience: Minimum 6 years of professional experience in AI, ML, and Conversational AI systems. Demonstrated ability to deliver innovative AI solutions tailored to business needs.

Mode - Work from Office No of Days 5days of working Shift Timing – 2.00pm to 11.00pm Location - Kochar Tower, V Floor, No. 19, Venkatnarayanan Road, T. Nagar, Chennai 600 017 Please share your updated resume to proceed further. Roles and Responsibilities Develop machine learning models to solve specific business problems. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Deploy ML models into production environments using frameworks like Django. Write clean, maintainable code in Python, focusing on AI and ML development. Work with large datasets to train machine learning models. Implement APIs in Django for serving predictions made by ML models. Analyse and interpret complex data to derive insights and support decision-making. Design and implement machine learning models to analyse trends and patterns. Use Django to build data-driven applications that visualize results. Develop and maintain AI models and systems that help automate tasks. Work on natural language processing, computer vision, or other AI subfields. Use Django to create user interfaces for AI model interactions. Build end-to-end applications, integrating front-end and back-end technologies. Implement machine learning and AI features in web applications built with Django. Ensure that applications are scalable and maintainable. Manage the deployment and scaling of machine learning models in production. Use containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) for AI solutions. Monitor and optimize resource usage for machine learning applications built with Django. Use Django to create RESTful APIs for accessing ML model predictions and integrating with other systems. Implement testing strategies to ensure the quality and performance of algorithms and applications. Collaborate with data scientists to fine-tune algorithms and improve accuracy. Write clean, maintainable code in Python, focusing on AI and ML development. Proficiency in Python, as well as familiarity with frameworks like Django for web development. Understanding of machine learning concepts, algorithms, and best practices. Experience with data libraries such as Pandas, NumPy, and visualization tools like Matplotlib or Seaborn. Familiarity with Git for version control. Knowledge of deployment techniques and cloud platforms (e.g., AWS, Google Cloud) for hosting applications. Strong communication skills to help convey technical details to non-technical stakeholders of Form

US Shift (8:30 pm to 5:30 AM) Generative AI Developer requirement: Experience using LLM models. Development methodology in AI use cases. Experience on Azure Open AI If interested, please share your resume at simran.agrawal1@elevancesystems.com

We are seeking a Robotics Engineer with 10-15 years of experience to join our innovative team in India. The ideal candidate will have a strong background in designing and developing robotic systems, with a focus on integrating advanced technologies and ensuring reliability and efficiency. Responsibilities Design, develop, and test robotic systems and components. Collaborate with cross-functional teams to integrate robotics with existing systems. Conduct feasibility studies and simulations to assess project viability. Troubleshoot and resolve issues with robotic systems and software. Maintain documentation of designs, processes, and modifications. Skills and Qualifications Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, or a related field. Proficiency in programming languages such as C++, Python, or MATLAB. Experience with robotics simulation software (e.g., Gazebo, V-REP). Strong understanding of control systems and mechatronics. Familiarity with machine learning techniques and AI applications in robotics. Knowledge of hardware components such as sensors, actuators, and controllers. Experience with CAD software for designing robotic components.

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

We are hiring a Python Developer to support and enhance Headstaart’s core backend infrastructure. You will work on high-impact features like real-time analytics, secure document handling, subscription services, and API integration.

We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you? Required Experience: We seek a graduate with at least 2 years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, we"™ve got quite a lot to offer. How about you? We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrow"™s idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! We"™ve got quite a lot to offer. How about you? Required Experience: We seek a graduate with at least 2 years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #LI-EDA #LI-Hybrid

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Lead generative AI business automation solutions. Integrate AI for automated invoicing & logistics. Assist with .NET code for case management system development. Develop webpages (landing pages). Create promotional image & structural designs. Required Candidate profile AI Architect: Azure/Google AI, document/multi-modal/image analysis. RAG pipelines, prompt engineering. Collaborates on scalable AI. Integrates proprietary tools. API mgmt (Apigee), security/governance

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

Curriculum : International Baccalaureate Diploma Programme (IBDP) Key Responsibilities : Deliver high-quality instruction for the IBDP Mathematics: Applications & Interpretation (SL/HL) course. Develop lesson plans that promote conceptual understanding, problem-solving, and real-world application of mathematics. Use data-driven approaches to assess student progress and adapt teaching accordingly. Guide students in Internal Assessment (IA) projects, ensuring academic integrity and IB standards. Maintain up-to-date documentation and grades in line with IB requirements and school policies. Collaborate with the IB Coordinator and subject team to align curriculum planning and delivery. Participate in IB workshops, team meetings, and school events as required. Provide academic support and mentoring to students preparing for exams and university-level math. Preferred Qualifications : Bachelors/Master’s degree in Mathematics or related field. IB-certified training in AI Math (SL/HL) preferred. Minimum 2–3 years of experience teaching IB or equivalent international curriculum.

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Role & responsibilities Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality Preferred candidate profile Experience in predictive modelling and predictive software development Skilled at Java, C++, Perl/Python (or similar scripting languages) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimization (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Perks and benefits Five Reasons Why You Should Join Zycus Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.