184 Onnx Jobs - Page 5

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Job description Job Summary: We are looking for a skilled MLOps Engineer who specializes in deploying and managing machine learning models using cloud-native CI/CD pipelines , FastAPI , and Kubernetes , without Docker . The ideal candidate should be well-versed in scalable model serving, API development, and infrastructure automation on the cloud using native container alternatives or pre-built images. Key Responsibilities: Design, develop, and maintain CI/CD pipelines for ML model training, testing, and deployment on cloud platforms (Azure/AWS/GCP) . Develop REST APIs using FastAPI for model inference and data services. Deploy and orchestrate microservices and ML workloads on Kubernetes clusters (EKS, AKS, GKE, or on-prem K8s). Implement model monitoring, logging, and version control without Docker-based containers. Utilize alternatives such as Singularity, Buildah, or cloud-native container orchestration . Automate deployment pipelines using tools like GitHub Actions, GitLab CI, Jenkins, Azure DevOps , etc. Manage secrets, configurations, and infrastructure using Kubernetes secrets, ConfigMaps, Helm, or Kustomize . Work closely with Data Scientists and Backend Engineers to integrate ML models with APIs and UIs. Optimize performance, scalability, and reliability of ML services in production. Required Skills: Strong experience with Kubernetes (deployment, scaling, Helm/Kustomize) . Deep understanding of CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps. Experience with FastAPI for high-performance ML/REST APIs. Proficient in cloud platforms (AWS, GCP, or Azure) for ML pipeline orchestration. Experience with non-Docker containerization or deployment tools (e.g., Singularity , Podman , or OCI-compliant methods ). Strong Python skills and familiarity with ML libraries and model serialization (e.g., Pickle, ONNX, TorchServe). Good understanding of DevOps principles, GitOps, and IaC (Terraform or similar) . Preferred Qualifications: Experience with Kubeflow, MLflow , or similar tools. Familiarity with model monitoring tools like Prometheus, Grafana, or Seldon Core . Understanding of security and compliance in production ML systems. Bachelor's or Master’s degree in Computer Science, Engineering, or related field. Industry Technology, Information and Internet Employment Type Full-time Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹50,000.00 per month Work Location: In person

Transform 800,000 hectares of greenhouses into fully-autonomous unmanned food production sites At Eternal, we're building the future of sustainable food production. Our mission is to convert the world's existing greenhouses into unmanned facilities that can produce fresh food year-round - addressing the critical need to double food production by 2050 while facing severe labor shortages, water scarcity, and climate challenges. About the Role Join our world-class computer vision team as we revolutionize horticulture automation. Whether you're a recent graduate eager to make your mark or an experienced engineer looking for your next challenge, you'll develop cutting-edge perception systems that enable robots to understand and interact with complex greenhouse environments - from identifying ripe produce to detecting plant diseases and optimizing crop health. As a Computer Vision Engineer at Eternal, you'll be part of a high-performance culture that values first-principles thinking and rapid iteration. You'll work at the intersection of classical computer vision and modern deep learning, creating perception systems that operate reliably in challenging agricultural environments with varying lighting, occlusions, and organic variability. You'll collaborate with a distributed team across our Cologne HQ and Bengaluru office, pushing the boundaries of what's possible in agricultural computer vision while delivering practical solutions that work 24/7 in production environments. What You'll Do Design and implement robust computer vision algorithms for crop detection, ripeness assessment, and precise localization in dynamic greenhouse environments Develop deep learning models for multi-class segmentation, object detection, and tracking of plants, fruits, and agricultural structures Create real-time perception pipelines that process 2D/3D sensor data for robotic decision-making with sub-centimeter accuracy Build intelligent systems that adapt to varying environmental conditions, including changes in lighting, plant growth stages, and seasonal variations Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency Implement continuous learning systems that improve model performance through data collected from our deployed robot fleet Collaborate cross-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end-to-end perception solutions Qualifications Core Requirements (All Levels) Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or graduating by Summer 2025) Strong programming skills in C++ and/or Python for computer vision applications Understanding of fundamental computer vision concepts: image processing, feature detection, camera calibration, and 3D geometry Experience with deep learning frameworks (PyTorch, TensorFlow) and classical CV libraries (OpenCV) Familiarity with Linux environments and version control systems Passion for solving complex real-world problems with tangible impact Experience Levels New Graduate / Entry Level (0-2 years) Recent graduate or final year student with strong academic performance Hands-on computer vision experience through internships, research projects, or competitions Demonstrated programming skills through coursework or personal projects Understanding of CNNs and basic deep learning architectures Early Career (2-5 years) Solid foundation in both classical and deep learning-based computer vision Experience deploying at least one vision system from research to production Proficiency with modern architectures (YOLO, Mask R-CNN, Vision Transformers) Understanding of model optimization techniques and edge deployment Senior Level (5-8 years) Proven track record of deploying vision systems in production environments Experience with 3D vision, multi-sensor fusion, or SLAM algorithms Knowledge of model optimization for embedded systems (quantization, pruning, distillation) Ability to mentor junior engineers and lead technical initiatives Staff/Principal Level (8+ years) Technical leadership experience with complex perception systems Deep expertise across multiple vision domains (2D/3D, classical/learning-based) Strategic thinking about perception architecture and technology roadmaps Track record of building and scaling high-performance computer vision teams Preferred Qualifications Experience with agricultural or outdoor computer vision applications Knowledge of 3D sensors (stereo cameras, LiDAR, structured light) GPU programming skills (CUDA) for accelerating vision algorithms Experience with vision-language models or foundation models Familiarity with ROS2 for perception system integration Publications at top-tier computer vision conferences (CVPR, ICCV, ECCV) Open source contributions to computer vision projects Why Eternal? Launch Your Career : For new graduates, this is a unique opportunity to join a proven team and learn from engineers who've already built and deployed commercial vision systems. You'll get hands-on experience with cutting-edge technology while making a real-world impact from day one. Impact at Scale : Your perception algorithms will directly enable robots to transform 800,000 hectares of greenhouses worldwide into sustainable, autonomous food production facilities. Technical Excellence : Work with state-of-the-art computer vision technology including modern deep learning architectures, 3D perception, and multi-modal sensor fusion. Rapid Innovation : Our software-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over-the-air as crops evolve. Unique Challenges : Tackle perception problems that combine the complexity of outdoor vision (varying lighting, weather) with the precision requirements of industrial automation. Growth Opportunity : Join as we scale from proof-of-concept to global deployment. Be part of the core team shaping the future of agricultural perception. Clear career progression from graduate to senior engineer and beyond. Mentorship & Learning : Work alongside experienced computer vision engineers who've solved complex real-world problems. We invest in your growth through hands-on projects, technical mentorship, and exposure to all aspects of vision system development. Flexible Work Culture : Distributed team with offices in Cologne and Bengaluru, following a "follow-the-sun" support model for our 24/7 operations. Our Tech Stack Vision Libraries : OpenCV, PCL, Open3D Deep Learning : PyTorch, TensorFlow, ONNX Deployment : TensorRT, OpenVINO, ONNX Runtime Sensors : RGB cameras, stereo vision, depth sensors Infrastructure : Cloud-native training pipelines, edge deployment systems Integration : ROS2 for robotic system integration Apply Now Ready to revolutionize how the world grows food through advanced computer vision? Whether you're starting your career or looking to make a bigger impact, join us in building perception systems that will enable sustainable food production for billions. We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who are excited about our mission and show potential to grow with us. Recent graduates - don't let experience requirements hold you back; we value passion, potential, and fresh perspectives. Eternal is building unmanned food production sites that can sustainably produce fresh food year-round. Backed by world-class investors and partnering with leading agricultural companies, we're turning the vision of fully-autonomous unmanned greenhouses into reality.

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What You Bring In 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The Impact You Will Create Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It Would Be Great If You Also Have Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. Job info Location Bengaluru, Karnataka, India Category Data Science Team Insights Posted 15 days ago Show more Show less

About the Role: We are looking for a passionate and hands-on Junior Computer Vision Engineer to join our AI team. You will work on real-world vision-based problems such as object detection, image segmentation, OCR, and more. This is a great opportunity to work on end-to-end model development and gain experience in deploying AI solutions in production environments. Responsibilities: · Assist in the design, training, and evaluation of computer vision models (e.g., YOLO, Mask R-CNN, OpenCV-based algorithms). · Work with datasets for preprocessing, augmentation, annotation, and evaluation. · Develop and optimize Python scripts and AI pipelines. · Collaborate with senior team members to deploy models on edge devices or cloud. · Maintain documentation and contribute to project reports. Required Skills: · Strong Python programming skills. · Basic understanding of computer vision tasks: classification, detection, segmentation. · Familiarity with tools like OpenCV, NumPy, and image annotation platforms (e.g., CVAT, LabelImg). · Exposure to model training and evaluation. · Preferred Skills: · Basic knowledge of ONNX, TensorRT, or OpenVINO. · Familiarity with version control (Git) and containerization (Docker). Qualification: · Bachelor’s Degree - CS/ Electronics /MCA / BCA Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹400,000.00 per year Schedule: Day shift Education: Bachelor's (Preferred) Experience: Basic knowledge of ONNX, TensorRT, or OpenVINO: 1 year (Required) Version control (Git) and containerization (Docker).: 1 year (Required) Tools like OpenCV, NumPy, & image annotation: 1 year (Required) Strong Python programming skills: 1 year (Required) Computer vision: classification, detection, segmentation.: 1 year (Required) Exposure to model training and evaluation: 1 year (Required) Work Location: In person

Key Responsibilities: Develop, fine-tune, and evaluate vision-language models (e.g., CLIP, Flamingo, BLIP, GPT-4V, LLaVA, etc.). Design and build multimodal pipelines that integrate image/video input with natural language understanding or generation. Work with large-scale image-text datasets (e.g., LAION, COCO, Visual Genome) for training and validation. Implement zero-shot/few-shot multimodal inference, retrieval, captioning, VQA (Visual Question Answering), grounding, etc. Collaborate closely with product teams, ML engineers, and data scientists to deliver real-world multimodal applications. Optimize model inference performance and resource utilization in production environments (ONNX, TensorRT, etc.). Conduct error analysis, ablation studies, and propose improvements in visual-language alignment. Contribute to research papers, documentation, or patents if in a research-driven team. Required Skills & Qualifications: Bachelor’s/Master’s/PhD in Computer Science, AI, Machine Learning, or a related field. 2+ years experience in computer vision or NLP, with at least 1+ year in multimodal ML or VLMs. Strong programming skills in Python, with experience in libraries like PyTorch, HuggingFace Transformers, OpenCV, torchvision. Familiarity with VLM architectures: CLIP, BLIP, Flamingo, LLaVA, Kosmos, GPT-4V, etc. Experience with dataset curation, image-caption pair processing, and image-text embedding strategies. Solid understanding of transformers, cross-attention mechanisms, and contrastive learning. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per year Schedule: Day shift Work Location: In person

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Solutions Architect - Edge Computing & IoT Summary Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an ""Honorable Vendor"" in 2021 Magic Quadrant™ for data & analytics by Gartner. We are seeking an innovative and driven Solutions Architect to join our growing Edge & IoT team. In this role, you will work closely with clients and internal engineering teams to design and implement effective edge computing and IoT solutions that leverage our expertise in AI/ML and strategic partnerships with Microsoft, Intel, Nvidia, and other industry leaders. You will demonstrate strong technical proficiency, a keen understanding of client requirements, and a commitment to delivering high-quality, innovative solutions. To excel in this role, you should possess a strong technical background in AI/ML and Edge Computing, excellent communication and interpersonal skills, and a demonstrated ability to think critically and creatively, adapting quickly to new challenges. A successful Edge AI Solutions Architect will have a keen understanding of both technology and business requirements and will be able to translate complex ideas into effective, user-friendly solutions that drive client success and satisfaction. If you are ready to contribute to a dynamic and growing organization, we encourage you to apply. Key Responsibilities As an Edge & IoT Solutions Architect, you will work: - Collaborate with clients to gather requirements, understand business objectives, and translate them into technical specifications for the engineering team. Design innovative Edge & IoT solutions, incorporating AI/ML components and leveraging cloud platforms such as Azure, AWS, and GCP. Contribute and lead the development of Edge & IoT accelerators and PoVs. Design, select, and deploy various IoT hardware components such as sensors, cameras, embedded devices, gateways, and servers, considering factors like power consumption, connectivity, interoperability, and environment constraints. Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements. Collaborate with engineering teams to ensure proper implementation of the designed solutions and provide technical guidance throughout the project lifecycle. Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team. Act as a subject matter expert in Edge & IoT technologies, staying abreast of industry trends, emerging technologies, and best practices. Support the account team in the pre-sales process by providing technical assistance and inputs into solution proposals. Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions. Technical Skills Required Strong knowledge of IoT protocols such as MQTT, CoAP, and AMQP. Proficiency in edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core. Solid understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios. Experience working with various IoT devices, sensors, and connectivity solutions (e.g., Wi-Fi, Bluetooth, 5G, LoRaWAN, NB-IoT, etc.). Familiarity with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT. Proven experience with programming languages such as Python, C#, C/C++, or JavaScript. Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S). Strong knowledge of networking concepts, protocols, and technologies (e.g., TCP/IP, UDP, VLAN, VPN, Ethernet, and wireless communication protocols), and experience in designing and implementing secure, reliable, and scalable network architectures for IoT and edge computing solutions. Familiarity with different hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and others, and the ability to choose the appropriate platform according to the specific requirements, constraints, and performance expectations of the solution. Expertise with packaging and deploying AI and ML models on edge devices using common AI frameworks such as TensorFlow, PyTorch, or ONNX Runtime, and familiarity with optimizing these models for resource-constrained environments and efficient execution at the edge. Experience in designing IoT and edge computing solutions that consider factors such as physical security, device management and maintenance, thermal management, and enclosure design. Proficiency in assessing the compatibility, interoperability, and performance of various hardware components and their integration into a comprehensive, well-structured solution architecture. Knowledge of industry standards, regulations, and best practices related to IoT hardware selection, deployment, and security. Qualifications Bachelor’s or master’s degree in computer science, Engineering, or related field. Minimum 10-12 years of experience in designing and implementing IoT and edge computing solutions, with at least 4-5 years focusing specifically on Edge AI and/or AI/ML integration. Strong communication and presentation skills. Excellent problem-solving abilities and attention to detail. Ability to work independently or as part of a team. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

AI Intern – Model Fine-Tuning, Video Intelligence, and Multilingual Media Tech Location: Remot e / India Duration: 3–6 Months Start: Immediate About Us We are a fast-moving tech team building cutting-edge solutions at the intersection of AI, video intelligence, and multilingual media. We’re now looking for AI Interns who are excited about working hands-on with the latest open-source models and taking them from prototype to production. This is your chance to build real-world, production-grade AI systems—not just toy models. If you love experimenting, optimizing, and seeing your work go live, you’ll love working with us. What You’ll Work On As an intern, you’ll help us build intelligent pipelines that: 🎬 Convert long-form videos into engaging short reels 📝 Auto-generate subtitles from video/audio 🌐 Translate video content into multiple languages (text + speech) 🗣️ Add dubbed audio with emotional tone matching across language s To achieve this, you’ll : Fine-tune and evaluate open-source AI models (Hugging Face, etc. ) Work with speech-to-text (STT), text-to-text (translation), and text-to-speech (TTS) system s Optimize models for real-time inference using tools like ONNX, quantization, etc . Collaborate closely with engineers to integrate AI into full-stack pipeline s Who We’re Looking Fo rStrong programming skills in C (essential for performance-critical modules ) Working knowledge of Python, PyTorch, Transformers, or similar framework s Basic understanding of model training, fine-tuning, and inference workflow s Hunger to learn, build, and solve open-ended problem s (Bonus) Familiarity with video/audio libraries (FFmpeg, OpenCV), Docker, or REST API s Why Join U s✅ Work on impactful, real-world AI project s✅ Get hands-on mentorship in applied AI & production engineerin g✅ See your work ship and make a differenc e✅ Flexible, remote-friendly work setu p Ready to apply ?Send your resume, GitHub/portfolio (if any), and a short note about why this excites you to hr@mantechventures.com . Show more Show less

Job Title: AI Developer Working Hours: 10 AM – 4 PM UTC+3) About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. About the Role: We are seeking a highly skilled AI Developer to join our specialized team focused on developing and benchmarking on-device AI solutions for MacOS and Windows platforms. The ideal candidate will have deep technical expertise in local inference, AI model optimization, and device-level benchmarking, particularly on Apple Silicon using CoreML and MLX. You will work on creating benchmarks for local LLMs and computer vision models, optimize them across a range of hardware accelerators, and contribute to the development of robust performance evaluation frameworks for future hardware platforms. Responsibilities: Develop and maintain on-device AI benchmarks for MacOS using the MLX framework. Port existing LLM benchmarks (phi, Mistral, LLaMA2/3) from Windows to MacOS. Create CoreML versions of selected computer vision models and perform quantization for various data types and hardware targets (CPU, GPU, Neural Engine). Design and prototype local fine-tuning benchmarks, including data preparation, parameter selection, and training strategy evaluation. Work with on-device AI accelerators (e.g., Apple CoreML, ONNX Runtime, TensorRT, OpenVINO, SNPE). Maintain, extend, and optimize benchmarks for future and unreleased hardware platforms across Windows, Mac, mobile, and embedded devices. Collaborate with hardware and software teams to refine benchmark design and test coverage. Analyze model performance, document findings, and suggest optimization strategies. Communicate progress and findings effectively in English to internal stakeholders. Required Skills & Experience: Strong coding expertise in Python, C++, and C. Deep understanding of deep learning frameworks: TensorFlow, PyTorch. Experience working with local/on-device inference engines such as: Apple CoreML (preferred) ONNX Runtime NVIDIA TensorRT Intel OpenVINO Qualcomm SNPE Familiarity with open-source model repositories like Hugging Face. Proven experience in all stages of the software development lifecycle – from prototyping to optimization. Solid debugging and problem-solving skills. Excellent communication skills in English. Qualifications: Bachelor’s degree in computer science or related field. Minimum of 5 years' experience in software design and development. Demonstrated experience in AI model development and deployment. We Offer: Opportunity to work on impact-full technical challenges with global reach. Vast opportunities for self-development, including online university access and knowledge sharing opportunities. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions-beyond work. This role presents unique opportunity to contribute to the future of impact-full business solutions while advancing your career in a collaborative and innovative environment. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, targeting Snapdragon platforms. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. All Qualcomm employees are expected to actively support diversity in their teams, and in the Company. We are seeking a talented Sr. Staff Engineer to join our team. In this role, you will lead the team to develop applications and Test Framework and automate evaluation of 'Agentic AI and multimodal use cases' using Qualcomm AI Stack SDKs and tools on Snapdragon platforms. You will drive architecture, feature development, and enhancements needed in the SDK for various platforms. Collaboration is key, as you will work closely with the AI software team and other internal sub-teams within Qualcomm that support the Orchestrator SDK. We value independence and leadership, so you will have the opportunity to work autonomously with minimal supervision while providing guidance to other team members. Your decision-making will be significant and will impact work beyond the immediate group. Responsibilities Development test applications to test Agentic AI, Multimodal use cases using the Qualcomm AI Stack SDKs and tools on Snapdragon platforms. Drive architecture, feature development and enhancements needed in the SDK for various platforms. Work closely with the rest of the AI software team and with other internal sub-teams within Qualcomm involved in supporting Orchestrator SDK. Work independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Minimum Qualifications 10+ years of general software development experience 5+ years of Android/Linux software development experience ML Application development experience Python/C/C++ Ability to lead a software team and collaborate to get work done Strong software design and development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.) Strong communication skills (verbal and written) and an ability to convey complex and detailed information to multiple audiences and high-level stake holders Ability to make decisions and construct plans with minimal, conflicting, and sometimes missing information Preferred Qualifications Experience with different operating systems (e.g., Linux, Android, QNX) Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) Experience with LLM, LVM, LMM models, ONNX RT and different NN architectures. Software development experience with Python/Java is a plus Ability to collaborate across a globally diverse team and multiple interests Education Requirements Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Preferred: Master's degree in Computer Science, Computer Engineering, or Electrical Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073048 Show more Show less

We're building Finovia AI — a fintech platform that helps startups and SMBs forecast revenue, analyze financial performance, and make better business decisions using AI and real-time sentiment analysis . We've launched our MVP and validated early demand. Now we're looking for a Founding Tech Lead (India-based preferred) to take ownership of our technical roadmap and AI models. Role Overview Title: Founding Tech Lead – AI & Infrastructure Type: Equity-Only (Founding Team Position) Location: Remote (India) Responsibilities Lead the design and development of our AI-based forecasting and financial reporting systems Build and optimize LLM pipelines, sentiment-driven forecasting models (PyTorch, Hugging Face, ONNX) Oversee infrastructure: AWS (EC2, S3, VPC), Docker, K8s, CI/CD Collaborate closely with the founding team (CEO & COO) on product and tech strategy Scale from MVP to production-ready SaaS platform Ideal Background 3–5 years of experience in backend, ML, or full-stack engineering Strong Python skills with real-world AI/ML project experience Exposure to AWS/cloud infrastructure and modern MLOps Bonus: Familiarity with financial data, QuickBooks APIs, forecasting models, or RAG pipelines Startup mindset: fast, resourceful, ownership-driven What’s in It for You Founding equity — meaningful ownership from day one Full autonomy on architecture and product direction Opportunity to grow into CTO as we raise and scale Be part of building a next-gen AI fintech product with real use cases If you're interested or know someone who might be a fit, feel free to DM me here or reach out at mehrapratyush123@gmail.com . Show more Show less

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The Role : In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML apply for this role and have a huge contribution on the audio products that we develop! Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will: Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores. Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges. Work with cross-functional product team to deliver seamless customer audio experience. Key Qualifications: For consideration, you must bring the following minimum skills and experiences to our team: Experience leading a ML team with 10+ years of experience working in audio signal processing/ML. Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s. Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference. Strong programming skills in c, python. Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s. Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup Additional Skills: Experienced with Linux, Docker. Familiarity with CMSIS NN, HIFI NNLib is a plus Familiarity with audio measurements and standard subjective/objective audio evaluation metrics. Experience working in hardware product teams from product concept to mass production Good Audio listening skills and experience detecting audio artifacts. Experience communicating effectively in a cross functional environment. Strong problem-solving, critical-thinking skills Familiarity with code version control practices Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible. Show more Show less

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. The Role : In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML apply for this role and have a huge contribution on the audio products that we develop! Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will : Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores. Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges. Work with cross-functional product team to deliver seamless customer audio experience. Key Qualifications: For consideration, you must bring the following minimum skills and experiences to our team: 7+ years of experience working in audio signal processing product teams. Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s. Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference. Strong programming skills in c, python. Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s. Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup Additional Skills: Experienced with Linux, Docker. Familiarity with CMSIS NN, HIFI NNLib is a plus Familiarity with audio measurements and standard subjective/objective audio evaluation metrics. Experience working in hardware product teams from product concept to mass production Good Audio listening skills and experience detecting audio artifacts. Experience communicating effectively in a cross functional environment. Strong problem-solving, critical-thinking skills Familiarity with code version control practices Education: Minimum Engineering degree in EE, CS or equivalent practical experience. Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible. Show more Show less

We are looking for a passionate and skilled AI/ML Engineer with 1–3 years of hands-on experience in computer vision and conversational AI. The ideal candidate should have a strong foundation in machine learning, experience training custom object detection models (especially using YOLO), and working knowledge of OpenCV and AI/ML frameworks. Exposure to OpenAI's ChatGPT and chatbot development is essential. Any experience in AR/VR will be considered a plus. Key Responsibilities: Train and deploy custom object detection models using YOLO (v5/v7/v8 or YOLO-NAS) on custom datasets. Preprocess and annotate data for training using tools like Roboflow or CVAT. Implement and optimize object detection pipelines using OpenCV . Develop, fine-tune, and integrate AI chatbots using OpenAI's ChatGPT API or similar LLMs. Work with basic ML algorithms for classification, clustering, and regression tasks. Collaborate with cross-functional teams to design, test, and deploy AI solutions. Explore integration of AI solutions into AR/VR environments (basic knowledge sufficient). Maintain and improve model performance through continuous training and validation. Stay up-to-date with the latest trends and advancements in AI/ML. Required Skills: Strong understanding of YOLO object detection models and custom training pipelines. Proficiency in OpenCV for image processing and real-time applications. Experience with OpenAI's GPT models and chatbot development . Solid understanding of basic ML algorithms (e.g., decision trees, SVM, k-NN). Good programming skills in Python . Familiarity with AI/ML frameworks such as: TensorFlow PyTorch ONNX Runtime Scikit-learn Knowledge of tools like Roboflow, LabelImg, or FiftyOne. Git version control and experience working in agile environments. Preferred (Good to Have): Exposure to AR/VR technologies (Unity, Unreal, WebXR, etc.). Experience in deploying models to edge devices (e.g., Raspberry Pi , NVIDIA Jetson Show more Show less

Job Title: Full Stack Developer (Vue.js + Python + AI Frameworks) Location: C-25, C Block, Sector 8, Noida, Uttar Pradesh 201301 Job Type: Full-Time About the Role: We are seeking a talented and motivated Full Stack Developer with strong front-end expertise in Vue.js , robust back-end skills in Python , and familiarity with modern AI frameworks such as PyTorch , ONNX , and Hugging Face . The ideal candidate will also have working knowledge of Redis and basic exposure to cloud services , especially Microsoft Azure . Key Responsibilities: Design and develop scalable web applications with clean, efficient, and maintainable code. Build intuitive front-end interfaces using Vue.js . Develop robust backend APIs and microservices using Python . Integrate and deploy AI/ML models using frameworks like PyTorch , ONNX , and Hugging Face Transformers . Optimize application performance and manage state using Redis where appropriate. Deploy and manage applications on Microsoft Azure infrastructure. Collaborate with data scientists, product managers, and UI/UX designers to deliver end-to-end solutions. Participate in code reviews, testing, and documentation. Required Skills & Qualifications: 2+ years of professional experience in full stack development. Proficiency in Vue.js (Vue CLI, Vuex, Vue Router). Strong back-end development experience with Python (Flask, FastAPI, or Django). Practical experience working with AI/ML frameworks : PyTorch, ONNX, Hugging Face Transformers. Familiarity with Redis for caching or session management. Basic experience deploying applications on Microsoft Azure (App Services, Azure Functions, or VMs). Solid understanding of RESTful APIs, version control (Git), and CI/CD pipelines. Preferred Qualifications: Experience working with containerization tools (Docker, Kubernetes). Exposure to DevOps practices or infrastructure-as-code. Knowledge of database technologies (SQL/NoSQL). Prior experience working in AI-driven projects or startups. What We Offer: Competitive compensation Flexible working hours and remote work options Opportunities for upskilling in AI and cloud technologies A collaborative, learning-focused environment Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 09/06/2025

Job Title: Full Stack Developer (Vue.js + Python + AI Frameworks) Location: C-25, C Block, Sector 8, Noida, Uttar Pradesh 201301 Job Type: Full-Time About the Role: We are seeking a talented and motivated Full Stack Developer with strong front-end expertise in Vue.js , robust back-end skills in Python , and familiarity with modern AI frameworks such as PyTorch , ONNX , and Hugging Face . The ideal candidate will also have working knowledge of Redis and basic exposure to cloud services , especially Microsoft Azure . Key Responsibilities: Design and develop scalable web applications with clean, efficient, and maintainable code. Build intuitive front-end interfaces using Vue.js . Develop robust backend APIs and microservices using Python . Integrate and deploy AI/ML models using frameworks like PyTorch , ONNX , and Hugging Face Transformers . Optimize application performance and manage state using Redis where appropriate. Deploy and manage applications on Microsoft Azure infrastructure. Collaborate with data scientists, product managers, and UI/UX designers to deliver end-to-end solutions. Participate in code reviews, testing, and documentation. Required Skills & Qualifications: 2+ years of professional experience in full stack development. Proficiency in Vue.js (Vue CLI, Vuex, Vue Router). Strong back-end development experience with Python (Flask, FastAPI, or Django). Practical experience working with AI/ML frameworks : PyTorch, ONNX, Hugging Face Transformers. Familiarity with Redis for caching or session management. Basic experience deploying applications on Microsoft Azure (App Services, Azure Functions, or VMs). Solid understanding of RESTful APIs, version control (Git), and CI/CD pipelines. Preferred Qualifications: Experience working with containerization tools (Docker, Kubernetes). Exposure to DevOps practices or infrastructure-as-code. Knowledge of database technologies (SQL/NoSQL). Prior experience working in AI-driven projects or startups. What We Offer: Competitive compensation Flexible working hours and remote work options Opportunities for upskilling in AI and cloud technologies A collaborative, learning-focused environment Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 09/06/2025

Compiler Lead Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/Bangalore A US based well-funded product-based startup looking for Highly talented Verification Engineers for the following roles. We are looking for a highly experienced systems engineer with deep expertise in compilers, machine learning infrastructure, and system-level performance optimization. This role is hands-on and research-driven, ideal for someone who thrives on solving low-level performance challenges and building core infrastructure that powers next-generation AI workloads. Key Responsibilities: Compiler Design & Optimization Develop and enhance compiler toolchains based on LLVM, MLIR, Open64, or Glow. Build and optimize intermediate representations, custom dialects, and code generation flows for AI accelerators. Implement transformations and optimizations for latency, memory usage, and compute efficiency. AI System Integration Work closely with hardware teams to co-design compilers targeting custom silicon. Integrate compiler backends with ML frameworks like PyTorch, TensorFlow, or ONNX. Build graph-level and kernel-level transformations for AI training and inference pipelines. Performance Tuning & System Analysis Conduct low-level profiling and performance tuning across compiler and runtime layers. Identify and eliminate bottlenecks across CPU/GPU/NPU workloads. Develop parallel programming solutions leveraging SIMD, multi-threading, and heterogeneous computing. Tooling & Infrastructure Develop tooling for performance analysis, debug, and test automation. Contribute to internal SDKs and devkits used by AI researchers and system engineers. Required Skills & Experience: Strong compiler development experience using LLVM, MLIR, Glow, or similar toolchains. Proficiency in C/C++, with solid command of Python for tooling and automation. In-depth understanding of compiler internals, including IR design, lowering, codegen, and scheduling. Deep knowledge of hardware-software co-design, particularly for AI/ML workloads. Experience with runtime systems, memory models, and performance modeling. Solid grasp of parallel and heterogeneous computing paradigms. Nice to Have: Experience working with custom AI hardware or edge inference platforms. Familiarity with quantization, scheduling for dataflow architectures, or compiler autotuning. Contributions to open-source compiler projects (e.g., LLVM, MLIR, TVM). Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 8–15 years of relevant hands-on experience in compilers, systems programming, or AI infrastructure. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community" Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Description More Details Below: Join The Exciting Generative AI Team At Qualcomm Focused On Integrating Cutting Edge GenAI Models On Qualcomm Chipsets. The Team Uses Qualcomm Chips’ Extensive Heterogeneous Computing Capabilities To Allow Inference Of GenAI Models On-Device Without A Need For Connection To The Cloud. Our Inference Engine Is Designed To Help Developers Run Neural Network Models Trained In A Variety Of Frameworks On Snapdragon Platforms At Blazing Speeds While Still Sipping The Smallest Amount Of Power. Utilize This Power Efficient Hardware And Software Stack To Run Large Language Models (LLMs) And Large Vision Models (LVM) At Near GPU Speeds! Responsibilities: In This Role, You Will Spearhead The Development And Commercialization Of The Qualcomm AI Runtime (QAIRT) SDK On Qualcomm SoCs. As An AI Inferencing Expert, You'll Push The Limits Of Performance From Large Models. Your Mastery In Deploying Large C/C++ Software Stacks Using Best Practices Will Be Essential. You'll Stay On The Cutting Edge Of GenAI Advancements, Understanding LLMs/Transformers And The Nuances Of Edge-Based GenAI Deployment. Most Importantly, Your Passion For The Role Of Edge In AI's Evolution Will Be Your Driving Force. Requirements: Master’s/Bachelor’s Degree In Computer Science Or Equivalent. 3+ Years Of Relevant Work Experience In Software Development. Strong Understanding Of Generative AI Models – LLM, LVM And LLMs And Building Blocks Floating-Point, Fixed-Point Representations And Quantization Concepts. Experience With Optimizing Algorithms For AI Hardware Accelerators (Like CPU/GPU/NPU). Strong Development Skills In C/C++ Excellent Analytical And Debugging Skills. Good Communication Skills (Verbal, Presentation, Written). Ability To Collaborate Across A Globally Diverse Team And Multiple Interests. Preferred Qualifications Strong Understanding Of SIMD Processor Architecture And System Design. Proficiency In Object-Oriented Software Development. Familiarity With Linux And Windows Environment Strong Background In Kernel Development For SIMD Architectures. Familiarity With Frameworks Like Llama.Cpp, MLX, And MLC Is A Plus. Good Knowledge Of PyTorch, TFLite, And ONNX Runtime Is Preferred. Experience With Parallel Computing Systems And Assembly Is A Plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Introduction IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the worlds most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing. Your role and responsibilities A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems. Design and implement robustbuild automation systemsthat support large, distributed AI/C++/Python codebases. Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments. Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability. Lead the creation ofportable, reproducible development environments, ensuring parity between development and production. Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation. Collaborate with cross-functional teams - including AI researchers, system architects, and mainframe engineers - to align infrastructure with strategic goals. Proactively monitor and improve build performance, automation coverage, and system reliability. Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams. Required education Bachelors Degree Preferred education Bachelors Degree Required technical and professional expertise With 5+ years of strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms. Hands-on experience building and maintainingcomplex automation pipelines(CI/CD) using tools likeJenkins, or GitLab CI. In-depth experience withbuild tools and systemssuch asCMake, Make, Meson, or Ninja, including custom script development and cross-compilation. Experience working onmulti-platform development, specifically onLinux and IBM z/OSenvironments, including understanding of their respective toolchains and constraints. Experience integratingnative C++ code with Python, leveragingpybind11,Cython, or similar tools for high-performance interoperability. Proven ability to troubleshoot and resolvebuild-time, runtime, and integration issuesin large-scale, multi-component systems. Comfortable withshell scripting(Bash, Zsh, etc.) and system-level operations. Familiarity withcontainerization technologieslike Docker for development and deployment environments. Preferred technical and professional experience Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments. Experience developing or maintaining software on IBM z/OS mainframe systems. Familiarity with z/OS build and packaging workflows, Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference). Knowledge of GPU computing and low-level profiling/debugging tools. Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments. Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects.