19 Ai Development Jobs

Senior Manager AI What can you expect in a Senior Manager role with TaskUs: Youll be responsible for identifying and accelerating our most critical opportunities to leverage AI technologies to improve business outcomes. This role will work closely with cross-functional teams to define, build and ensure successful execution of AI solutions that align with the company's strategic goals. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. In addition to identifying opportunities, you will be expected to lead a team and help them implement various proof of concepts and innovate AI solutions. Role & responsibilities Collaborate with business leaders to identify and prioritize AI use cases with the highest potential impact. Develop a clear vision for how AI can be used to improve specific business processes or customer experiences. Stay informed about the latest AI trends and identify potential applications for the business. Lead the evaluation of potential AI solutions, including conducting proof-of-concepts and pilots. Develop and manage the product roadmap, prioritizing features and optimizations that support AI acceleration and scalability. Work closely with data scientists and ML engineers to ensure data readiness & classification, architecture scalability, performance standards for AI models, with a focus on accelerating the training and deployment lifecycle Establish and enforce performance standards for AI models, with a specific focus on accelerating the model training and deployment lifecycle (MLOps). Own results of the end to end AI workstream and track key performance indicators to measure product success and AI acceleration Leverage data and qualitative findings for quick product iterations via rapid user feedback cycles Influence organization wide initiatives and have wide accountability towards driving impact via the AI acceleration Advocate for reusability of AI capabilities where applicable across customer journey points Delivering forward-thinking solutions on-time and on budget. Coordinating and leading UAT testing efforts. Preferred candidate profile Bachelors degree or four or more years of work experience. 10 or more years in product management; experience in AI or machine learning People management experience. Three or more years experience working on complex projects that involve technology implementation and innovation for large enterprises Solid understanding of AI concepts, ML model architectures, computational requirements, and performance optimization techniques for AI workloads. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Proven ability to work effectively in cross-functional teams and communicate complex concepts, technical tradeoffs and value propositions to both technical and non-technical stakeholders Strong leadership, negotiation, and problem-solving skills. Passion for innovation and a commitment to driving business value through technology. Work mode - Hybrid. Work Location - Chennai, Navi Mumbai, Gurugram, Mohali, Indore. Shift - Mid Shift.

Senior Manager AI What can you expect in a Senior Manager role with TaskUs: Youll be responsible for identifying and accelerating our most critical opportunities to leverage AI technologies to improve business outcomes. This role will work closely with cross-functional teams to define, build and ensure successful execution of AI solutions that align with the company's strategic goals. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. In addition to identifying opportunities, you will be expected to lead a team and help them implement various proof of concepts and innovate AI solutions. Role & responsibilities Collaborate with business leaders to identify and prioritize AI use cases with the highest potential impact. Develop a clear vision for how AI can be used to improve specific business processes or customer experiences. Stay informed about the latest AI trends and identify potential applications for the business. Lead the evaluation of potential AI solutions, including conducting proof-of-concepts and pilots. Develop and manage the product roadmap, prioritizing features and optimizations that support AI acceleration and scalability. Work closely with data scientists and ML engineers to ensure data readiness & classification, architecture scalability, performance standards for AI models, with a focus on accelerating the training and deployment lifecycle Establish and enforce performance standards for AI models, with a specific focus on accelerating the model training and deployment lifecycle (MLOps). Own results of the end to end AI workstream and track key performance indicators to measure product success and AI acceleration Leverage data and qualitative findings for quick product iterations via rapid user feedback cycles Influence organization wide initiatives and have wide accountability towards driving impact via the AI acceleration Advocate for reusability of AI capabilities where applicable across customer journey points Delivering forward-thinking solutions on-time and on budget. Coordinating and leading UAT testing efforts. Preferred candidate profile Bachelors degree or four or more years of work experience. 10 or more years in product management; experience in AI or machine learning People management experience. Three or more years experience working on complex projects that involve technology implementation and innovation for large enterprises Solid understanding of AI concepts, ML model architectures, computational requirements, and performance optimization techniques for AI workloads. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Proven ability to work effectively in cross-functional teams and communicate complex concepts, technical tradeoffs and value propositions to both technical and non-technical stakeholders Strong leadership, negotiation, and problem-solving skills. Passion for innovation and a commitment to driving business value through technology. Work mode - Hybrid. Work Location - Chennai, Navi Mumbai, Gurugram, Mohali, Indore. Shift - Mid Shift.

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Key Responsibilities: LLM Integration & Development: Build and fine-tune LLMs for task-specific applications using techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and model adaptation. AI Agent Engineering: Design, develop, and orchestrate AI agents capable of reasoning, planning, tool use (e.g., APIs, plugins), and autonomous execution for user-defined goals. GenAI Use Case Implementation: Deliver GenAI-powered solutions such as chatbots, summarizers, document Q&A systems, assistants, and co-pilot tools using frameworks like LangChain or LlamaIndex. System Integration: Connect LLM-based agents to external tools, APIs, databases, and knowledge sources for real-time, contextualized task execution. Performance Tuning: Optimize model performance, cost-efficiency, safety, and latency using caching, batching, evaluation tools, and monitoring systems. Collaboration & Documentation: Work closely with AI researchers, product teams, and engineers to iterate quickly. Maintain well-structured, reusable, and documented codebases. Required Qualifications: 35 years of experience in AI/ML, with at least 12 years hands-on with GenAI or LLMs. Strong Python development skills and experience with ML frameworks (e.g., Hugging Face, LangChain, OpenAI API, Transformers). Familiarity with LLM orchestration, vector databases (e.g., FAISS, Pinecone, Weaviate), and embedding models. Understanding of prompt engineering, agent architectures, and conversational AI flows. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field. Preferred Qualifications: Experience deploying AI systems in cloud environments (AWS/GCP/Azure) or with containerized setups (Docker/Kubernetes). Familiarity with open-source LLMs (LLaMA, Mistral, Mixtral, etc.) and open-weight tuning methods (LoRA, QLoRA). Exposure to RAG pipelines, autonomous agents (e.g., Auto-GPT, BabyAGI), and multi-agent systems. Knowledge of model safety, evaluation, and compliance standards in GenAI.

Prepare indents for F&B section as per the consumption pattern, and keep proper track of breakages, and maintain consumption reports and costs of department. Ensure implementation of company discipline at site. Adhere to proper food hygiene and storage practices. Ensure complete care and handling in relation to catering service and buffet equipment. Observe and enforce safe working practices with all subordinate staff. Follow all safety rules and procedures as per the site requirements. Ensure that equipmentand materials are not left unattended. Key Responsibilities Food Operations Ensure that all the service deliveries are carried out as per the terms and conditions agreed upon with the client Initiate development of new menus, upgrade old menus and special event menus Develop new ideas for promotions, festivals and other special events Ensure that safety and hygiene policy is strictly followed at site Carry out operational audits to check for confirmation to laid down processes and policies Communication and Client Retention Stay in close communication with the client for all issues regarding services, additional business, new initiatives and hygiene and prepare documents of the same Ensure that the branding policy is rolled out and followed as per the specifications Ensure 100% client retention Timely addresses of all issues with pertaining to the client and the operations Cost Management Coordinate with the Purchase department to understand and forecast the cost trends and revisions Develop suitable operational strategies to address increase in costs Analyse the operational cost centreand provide solutions to increase the efficiencies in site Qualifications: Experience in a high pressure catering environment, preferably in a commercial or industrial environment. Understanding of electronic cash register systems and basic bookkeeping. Computer literacy Sound communication skills. work scheduling and planning skills. Leadership skills. Well-groomed and able to represent Sodexo in a professional manner. Customer focused. Organized and self-motivated. Creativity and an eye for detail. Team Working & Collaboration.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Job Overview We are seeking a highly experienced Senior AI Developer with extensive expertise in the latest generative AI (GenAI), agentic AI, and other cutting-edge artificial intelligence technologies. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments. This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology. ________________________________________ Key Responsibilities Advanced AI Development: Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications. Research & Innovation: Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities. Collaboration & Integration: Work closely with cross-functional teamsincluding data scientists, software engineers, and product managers—to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms. Code Quality & Mentorship: Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence. Performance Optimization & Scalability: Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy. ________________________________________ Required Qualifications Experience: Extensive industry experience in AI development, with a strong portfolio that demonstrates proficiency in generative AI and agentic AI applications. Technical Skills: AI Frameworks & Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging generative AI platforms. Programming Languages: Proficiency in Python, with exposure to additional languages like Rust or C++ considered a plus. Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. Core Competencies: Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. Excellent communication skills for effective collaboration across diverse teams. Familiarity with Agile methodologies and best practices in software development. ________________________________________ Preferred Qualifications Advanced degrees (Master’s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud). Proven track record of contributing to AI research publications or patents in the field of generative and agentic AI. Knowledge of ethical AI practices and ensuring model fairness, transparency, and accountability.

Duration: 6Months Position Description: We are seeking a AI Specialist/Engineer focused on building and deploying AI-powered Copilots, intelligent agents, and chatbots. In this role, you will leverage your expertise in AI techniques such as natural language processing (NLP), generative AI, and cognitive automation to develop solutions that enhance user experience, automate tasks, and provide intelligent assistance. You will be responsible for understanding business requirements, designing and implementing AI models, and deploying them. This is an opportunity to make a direct impact on our AI initiatives within a focused timeframe. Key Responsibilities: Copilot and Agent Development: Design, develop, and deploy AI-powered Copilots and intelligent agents to automate tasks, provide proactive assistance, and enhance user productivity. Chatbot Creation: Build and deploy chatbots using NLP techniques to provide conversational interfaces for various applications, including customer support, information retrieval, and task completion. Requirements Gathering: Understand business requirements and translate them into technical specifications for AI models and applications. AI Model Development: Develop and fine-tune AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation, and enable self-service capabilities. Integration and Deployment: Integrate AI solutions with existing systems and deploy them in a production environment. Experimentation and Optimization: Perform experimentation to evaluate the performance of AI models and optimize them for accuracy, efficiency, and scalability. Skills Required: Knowledge in developing and deploying AI solutions using techniques such as natural language processing (NLP), generative AI, and cognitive automation. Proven experience in building and deploying chatbots and/or intelligent agents Proficiency in programming languages such as Python, R, or similar languages commonly used in AI development. Exposure to AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn Exposure with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying AI models in a production environment. Experience Required: Experience in chat bot development and Co-Pilot Experience in using Python Education Required: Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.

Key Responsibilities: Build, train, and evaluate machine learning models using PyTorch, TensorFlow, or similar frameworks. Apply concepts like neural networks, regression algorithms, and loss functions in real-world projects. Participate in designing and implementing scalable AI solutions. Collaborate with cross-functional teams to integrate AI modules into products. Document your process, experiments, and learnings clearly. Explain model decisions and architecture to non-technical stakeholders, if needed.

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs EndToEnd Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / VectorDBs / AIAgents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

What you will be doing... This role will be responsible for design and implementation of big data analysis applications to support VZW device technology. Design and implement data integration from various data sources. Performance tuning, diagnose, resolve big data and streaming technical issues. Design and implement solutions across multiple layers of the technology stack, including data processing, database, web services, network, and user security. Assist UI and frontend engineers to assure the system meets performance goals. Perform integration testing and assist QA on large projects. Contribute to requirements analysis, project estimation, design, coding, and testing. Suggest and implement third party libraries and software in the product when appropriate. Deliver applications that meet performance and scalability goals of the project. Always be on the top of latest techniques on big data and AIML What we are looking for You'll need to have: Bachelors degree or four or more years of work experience. Experience designing and implementing data applications in production using Java/ Python/ Scala and etc on big data platforms. Hands-on experience with related/complementary open source software platforms and languages such as Java, Linux, Spark, Hadoop, Kafka, Pulsar etc. Deep knowledge of information architecture methodologies; enterprise-wide data architecture for designing and building data lakes, data warehouses and BI reporting databases on Docker cluster Deep knowledge of distributed data architecture concepts such as caching, map-reduce, stream processing. Solid knowledge of data security & compliance. Understand data visualization techniques and libraries and their applicability to business Proficient in the programming languages of Java, Java Scripts, Python, Scala and SQL. Even better if you have one or more of the following: Experience in AI Development. Strong written and verbal communication skills.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g. , Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects