134 Ai Algorithms Jobs - Page 5

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.

What you will do Build end-to-end machine learning models to solve business problems in Marketing Perform feature engineering and support data engineering to build robust data pipelines on large marketing datasets from different sources Collaborate with ML Engineering to build ML Pipelines to Train, Test, Deploy, Serve and Monitor models, Tune Hyperparameters, detect model and data drift and resolve issues Present machine learning models outcomes, and help interpret model predictions to various stakeholders using standard data visualization tools Contribute to designing Experiments to prove hypothesis, and conduct A/B testing Write unit test cases, validation checks, technical documentation, and user stories as per requirements What you will need Must: Experience in all phases of machine learning lifecycle including model selection, training, and evaluation, feature engineering, tuning hyperparameters, and deployment Must: Knowledge of CI/CD, Github Actions, Docker Must: Hands-on experience with Python, Software development concepts (Object-oriented or Functional Programming) Must: Proficient in Tensorflow or PyTorch, Keras, Jupyter Notebooks, GitHub, and SQL Must: Experience with atleast one deep learning and/or Causal Inferencing Must: Experience working in cloud platforms like AWS, and Big data technologies Nice to have: Hands-on experience with A/B Test result analysis and Experimentation Nice to have: Worked with large marketing dataset in Digital Marketing, Google Analytics, Adobe Omniture, etc. Bonus: GenAI or Agentic AI experience Note - Please note that this role requires to work 3 days from office in Bangalore. Plz apply only if you are fine to work from office.

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, weve 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 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 5+ 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 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

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, weve 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 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 5+ 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 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

Design and deploy REST APIs (FastAPI/Flask), integrate AI/ML models (PyTorch, Hugging Face, diffusers), work with LangGraph/LangChain/AutoGen, build front-end tools (Gradio, Streamlit, custom), manage PostgreSQL, and create efficient data pipelines.

Ready to build the future with AI? At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of whats possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. • Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills • Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Ready to build the future with AI? At Genpact, we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. I Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

AI Marketing Engineer Location: On-site (Gurgaon) Experience: 35 years | Type: Full-Time About the Role We’re looking for someone who’s equal parts engineer, marketer, and creative director-someone who knows how to harness AI tools to make ideas happen fast. You’ll work directly with our founder to turn concepts into websites, campaigns, content, and experiments that feel human, on-brand, and high-converting. Think: the speed of AI, the taste of a good designer, and the storytelling vibe of TheBoringMarketer. What You’ll Do - Use Claude Code, ChatGPT, and other AI tools (Midjourney, Vercel, automation platforms) to create marketing assets, websites, and campaigns. - Design and write content that feels human, engaging, and on-brand. - Run SEO and local marketing campaigns that actually move the needle. - Build landing pages, visuals, and ads that convert. - Rapidly prototype, test, and iterate creative ideas. - Maintain brand consistency across visuals, copy, and tone. What You Bring - 3–5 years’ experience in marketing + tech. - Proven hands-on skills with AI tools (Claude, Midjourney, ChatGPT, etc.). - Good eye for design, copy, and vibe. - Basic web development or landing page building skills. - Comfort with SEO, content creation, and local marketing. - A love for creative, story-led marketing and fast execution. Why You’ll Love This Role - You’ll be part of the AI-first marketing frontier-you set the vision, AI helps you execute. - Work closely with the founder in a creative, collaborative environment. - No bureaucracy- just fast ideas, real output, and measurable impact. - The freedom to experiment and break boring marketing patterns. How to Apply Send us: - Your resume + portfolio/work samples at hello@drmorepenhome.com - An AI-generated example of your work (landing page, ad copy, website hero text, or social post).

Designing scalable and high-performance generative AI systems, including end-to-end solutions from data ingestion to model deployment. Developing AI strategies aligned with organizational goals, new tools and techniques in AI capabilities. Required Candidate profile Leading the development of generative models, potentially including transformers and large language models (LLMs), and staying abreast of the latest advancements in the field.

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: 4+ 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.

The Position We are looking for a Data Scientist to join a growing Research & Data Science team and collaborate with other Developers, Data Scientists and Engineers to research, prototype and trial innovative solutions for real-time monitoring, verification and optimisation of live equipment in the built environment, including predictive maintenance and Machine Learning driven optimization. Reporting to the Team Lead for Research & Data Science, the successful candidate will get the opportunity to work directly with customers and stakeholders across a range of industries globally, see the direct results of your work through demonstrable energy savings and contribute to addressing global warming. Deliver robust proven solutions and work closely with and around our software development team to integrate them in our range of products and contribute from beginning to end of a project. Take advantage of our key position in the industry to build a more sustainable future through predictive technology and leveraging the wealth of under-utilised data from embedded sensors scattered through building systems. Tasks and responsibilities include: Data collection, pre-processing, and management Construct data ETL pipeline from various data sources Identify and visualise relevant trends across datasets Literature review of state-of-the-art research in Data Science and relevant Engineering applications Develop and evaluate predictive models using state-of-the-art Data Science techniques, and relevant Physics and Engineering principles Preliminary prototyping using Python or similar high-level programming language or numerically oriented tools Evaluate solutions for integrating models into a commercial product Collaborate closely with Software Development teams to ensure all functions and features of proposed research solutions are implemented and working as required or expected including participating in validation testing of research implemented in a commercial product. Preparation of R&D findings report, Functional Descriptions and Project Documentation Development and maintenance of CI/CD and MLOps pipelines including testing, staging and production environments Effectively use and contribute to the use of project planning, issue tracking, and source code management tools Participate in software design, development, documentation and testing of Conserve Its range of products, as required Meet with team members, other teams and managers as required Updates job-related knowledge by participating in education opportunities; reading professional publications; maintaining personal networks; participating in professional organisations Communicate with external parties for data collection and site trials Contribute to research journal papers and conference papers as required Participate in project and development planning meetings Use and contribute to the use of project planning, issue tracking and software documentation tools Opportunity for growth: Formulate and solve Mathematical Optimisation problems for Model Predictive Control, Machine Learning model training, self-tuning algorithms, and other applications as required Carry out IPMVP-based M&V study to assess energy savings of deployed solutions on site Essential skills and experience We are looking for someone with a minimum of 3 years, demonstrable, hands-on experience in the following technologies and skills. Candidates must be able to show code they have written in the last 12 months that use the following. Any candidate who cannot demonstrate these will not be considered. Compulsory Technologies & skills with a minimum of 3 years’ experience Solid grounding in Object Oriented Design and Development Demonstrable programming experience and/or skills in Python (being able to show code you have worked on will put you at the top of the list) Ability to translate a design or mathematical model into code Understanding of developing software models to reflect real world entities Development of multi-threaded systems and general understanding of the use of application frameworks Ability to perform data exploratory analysis for proof of concept and to communicate results to a diverse audience Ability to prototype robust, scalable and maintainable solutions in Python Advanced NumPy/SciPy, Scikit-Learn, TensorFlow (or PyTorch) Data processing and cleaning with Pandas Data visualisation with Matplotlib, Plotly & Seaborne Significant programming experience and/or skills in Python, Java or C++ to implement reliable production-grade solutions Strong skills in developing software models to reflect real world entities and equipment Deep knowledge of Machine Learning and AI algorithms Practical experience developing & deploying a machine learning algorithm in a real-world scenario in production Practical experience developing and deploying MLOps pipelines or CI/CD pipelines Experience in writing clean and maintainable software (e.g. in Python, Java or C++) Atlassian suite of tools (Jira, Confluence, BitBucket) Strong foundations in Mathematics Desirable Skills: Ability to design and tune deep neural network architectures (ANN, RNN, CNN) Knowledge of Mathematical Optimization theory and ability to understand tailored solver Other mandatory requirements: Eligible to travel to Australia, for short stays of up to a few weeks at a time Postgraduate Degree in a quantitative discipline (Data Science, Mathematics, Physics, Computer Science, Bioinformatics)