7846 Artificial Intelligence Jobs - Page 21

About the job: Key responsibilities: 1. Develop and implement AI algorithms to enhance the functionality of our products 2. Collaborate with cross-functional teams to integrate AI solutions into our existing systems 3. Automate repetitive processes 4. Build AI agents 5. Optimize AI models for performance and scalability 6. Troubleshoot and resolve any issues related to AI implementation Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,00,000 - 3,50,000 /year Experience: 1 year(s) Deadline: 2025-08-25 23:59:59 Other perks: Informal dress code, Free snacks & beverages, Health Insurance Skills required: JavaScript, Python, Data Structures, Machine Learning, Deep Learning and Artificial intelligence Other Requirements: 1. Knowledge of NLP 2. Candidates with knowledge of AI platforms, having done work in the past will be preferred About Company: Satya Kiran is a group of companies run by reputed professionals operating in state-of-the-art Medical technology and Engineering verticals. We are a 35-year-old company, working in the field of non-destructive testing and quality control. We operate out of Delhi. We are into Testing, training, and consultancy of NDT services

As an Azure Solution Architect, you will be responsible for designing and implementing end-to-end solutions on the Azure platform. Your expertise in Azure Integration Platform as a Service (iPaaS), Azure Infrastructure, Azure Cloud Native Services, and proven track record in Azure implementations will be key to your success in this role. Your primary responsibilities will include architecting and implementing complex integration solutions using Azure iPaaS services such as Azure Logic Apps, Azure Service Bus, and Azure Functions. You will lead the design of Azure solutions, encompassing iPaaS, .Net Core, infrastructure, and cloud-native services. Collaboration with stakeholders to gather requirements and translate them into scalable and efficient architectural designs is crucial. In the realm of Azure Infrastructure, you will design and implement scalable and resilient solutions considering performance, security, and compliance factors. Deployment and configuration of infrastructure components in alignment with best practices will be essential. Leveraging Azure cloud-native services for building and deploying applications using CI/CD will be a focus area, emphasizing scalability, reliability, and cost efficiency. Your role will also involve presales consultation, engaging with clients to understand their business objectives and technical requirements. Collaborating with sales teams to create customized solutions based on Azure services, conducting presentations and workshops to showcase technical aspects, and ensuring alignment with client needs and industry best practices will be part of your responsibilities. Remaining technologically updated is vital, and you will be expected to stay abreast of industry trends, emerging technologies, and best practices related to cloud computing, artificial intelligence, and Generation AI. Providing innovative and cutting-edge solutions to address client challenges will be encouraged. Your vendor-agnostic knowledge will be valuable as you demonstrate a broad understanding of Generation AI technologies, tools, and frameworks, irrespective of specific vendors. Offering unbiased recommendations based on client needs and the strengths of different technology solutions will be crucial. Building and maintaining strong relationships with key client stakeholders, acting as a trusted advisor, understanding their long-term goals, and providing strategic technology recommendations will also be part of your role. Additionally, providing technical leadership, guidance, and ensuring successful solution implementation in collaboration with engineering and development teams will be expected.,

We are looking for a passionate and self-motivated AI Intern to join our team at ARK Infosoft. This internship opportunity is perfect for fresh graduates or final-year students who are enthusiastic about applying their knowledge of Artificial Intelligence, Machine Learning, and Data Science to real-world projects. As an AI Intern, you will have the chance to collaborate closely with senior developers and data scientists on a variety of AI-driven applications and innovations. Your responsibilities will include assisting in the design, development, and testing of machine learning models, as well as collecting, cleaning, and preprocessing datasets. Additionally, you will be involved in supporting the implementation of AI models into existing systems or proof-of-concepts, conducting literature reviews, and documenting technical research findings. Collaboration with cross-functional teams on various AI and software projects is also a key aspect of this role, along with staying up-to-date with the latest AI tools, libraries, and research. The ideal candidate should have a basic understanding of AI/ML concepts, algorithms, and applications, along with familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills, good communication abilities, and a willingness to learn and take initiative are essential for success in this position. Preferred qualifications that would be nice to have include knowledge of deep learning, NLP, or computer vision, experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS), and participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. Joining our team at ARK Infosoft, you can look forward to a supportive work environment with benefits such as 5-day working week, paid leave, all leave encashment, health insurance, festival celebrations, employee engagement activities, great workspace, and an annual picnic. Our mission at ARK Infosoft is to empower businesses to grow by providing personalized IT solutions through leveraging the latest technologies, prioritizing our customers, and continually seeking innovative ways to improve. We strive to be the most trusted partner in our clients" journey towards digital advancement, dedicated to excellence, integrity, and social responsibility, creating lasting value for our clients, employees, and communities. Our vision is to establish ARK Infosoft as a leading IT company known for delivering creative solutions that help businesses succeed in today's digital world. We aim to be the preferred partner for all IT needs, fostering growth and prosperity in every industry we serve through innovation, collaboration, and sustainability. Our goal is to drive positive global impact, enabling businesses to thrive in the digital age and shaping a brighter tomorrow for all.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

As a Technical Account Manager (TAM) at Oracle Customer Success Services (CSS), you will play a crucial role in enabling organizations to maximize the value of their Oracle investments and transition seamlessly into the cloud. Your primary responsibility will be to ensure that customers achieve their desired business outcomes by leveraging Oracle's managed cloud services effectively. You will serve as a trusted advisor to customers, overseeing the governance and technical service delivery process. This includes helping customers optimize the business value of their Oracle investments, mitigate risks, and align IT strategies with business goals. Your role will involve ensuring the consistency and quality of deliverables, providing guidance on successful Oracle technology and Cloud deployments, and supporting customers in overcoming challenges. Your expertise in Oracle SaaS products, particularly ERP, SCM, and HCM modules, will be essential in this role. You should have experience with full-cycle implementation and support of Oracle SaaS ERP/SCM applications, as well as hands-on experience with Oracle SaaS ERP/SCM/HCM implementation. Additionally, you must possess a good understanding of Oracle Cloud Infrastructure (OCI), PaaS applications, and their integration with SaaS applications. Collaboration is key in this role, as you will work closely with customers, product managers, and business partners to design and deliver effective business solutions. Your project management skills, including the ability to manage scope, customer expectations, and project timelines, will be crucial to your success as a TAM. To excel in this position, you should be a strong team player with excellent communication and problem-solving skills. The ability to multitask, adapt to changing priorities, and work well under pressure is essential. A background in project/program management, PMP certification, and Fusion ERP/SCM/HCM certification are desirable qualifications for this role. If you have over 15 years of experience in Oracle SaaS, along with a proven track record in delivering large-scale global applications, and are committed to providing exceptional customer service, we invite you to apply for this opportunity at Oracle CSS.,

As a Sales Engineer at Quantiphi, you will play a crucial role in the core sales team, responsible for executing the end-to-end sales process in a B2B environment. Your primary focus will be on enhancing the customer experience by utilizing consultative selling practices to identify customer needs and provide appropriate solutions. You will be instrumental in managing communication and relationships with customers, prospects, and partners to maintain high levels of customer satisfaction. In this role, you will prepare and explain products, solutions, or services to a diverse range of audiences, developing sales collaterals such as business and technical presentations, point of views, and solution approaches. You will engage in driving end-to-end pre-sales activities in the Data Science and Applied AI domain, collaborating closely with cross-functional teams to meet customer requirements and develop creative solutions to complex business problems. To excel in this role, you must possess a Masters or Bachelors Degree in Business, Economics, or Engineering. Excellent communication skills, both written and verbal, are mandatory, along with a clear articulation of complex ideas. An understanding of the sales cycle and sales techniques is essential, while experience in B2B sales, customer communication, and relationship management is preferable. Your logical ability to understand client needs and present solutions, along with a data-driven mindset supported by market research, will be key to your success. Attention to detail, sharp acumen in propagating your views effectively, and a willingness to learn and apply emerging trends in business, research, data science, Machine Learning, Artificial Intelligence, and Cloud Technologies are crucial. Additionally, having prior success in selling data science solutions, exposure to international markets, cross-functional collaboration, GCP technical expertise, and experience in AI/ML solutions are considered advantageous. As part of the Quantiphi team, you will have the opportunity to work in a category-defining high-growth startup in the transformational AI, Decision Science, and Big Data Domain. You will contribute to the phenomenal growth journey and help customers take the next big leap in digital transformation. Moreover, you will collaborate with a diverse, lively, and proactive group of techies who are constantly innovating to translate data into tangible business value for clients. Flexible remote working options are available to foster productivity and work-life balance. If you are driven, energetic, and ambitious, and thrive in a dynamic environment, a career with Quantiphi is the right fit for you.,

What Youll Do Identify and prototype AI/ML use cases related to operational decision support, dispatch optimization, or predictive scheduling. Develop and evaluate models for time-series forecasting, clustering, or regression based on available business data. Explore potential use of graph algorithms and graph databases for modelling relationships in routing, resource allocation, or event flows. Support data processing and feature engineering across structured, unstructured, and geospatial datasets (GIS experience is a plus). Work closely with architects and cross functional teams to align on AI integration architecture and cloud deployment approach (AWS/Azure). Contribute to effort estimation, documentation, and planning for potential implementation in later phases. Troubleshoot models, ensuring accuracy and efficiency in production. What Youll Bring 4+ years of experience as an AI/ML engineer or data scientist in applied environments. Strong understanding of deep learning (supervised, unsupervised, self-supervised, reinforcement learning). Solid foundation in classical ML techniques such as regression models, time series forecasting, and clustering. Experience with graph algorithms and graph databases. Strong Python expertise. Hands-on data preprocessing experience. Proven experience in model fine-tuning and evaluation, ideally in production-ready settings. Proficiency with ML frameworks such as PyTorch, TensorFlow, or similar. Experience with cloud deployment and development, especially on AWS/Azure. Familiarity with containerization tools like Docker. Excellent problem-solving skills and ability to work in a fast-paced environment.

Job Title: Technical Product Owner (AI/NLP & US Healthcare) Location: Remote (India) Experience: 5+ Years Industry: Healthcare Technology / AI & Machine Learning Employment Type: Full-Time About the Role We are hiring a Product Owner with deep expertise in AI/NLP and US healthcare risk adjustment coding . This role blends strategic product leadership with hands-on technical guidance to build AI-powered solutions for medical record retrieval and automated risk coding . Key Responsibilities Product Strategy & Ownership Define and own the product vision for AI/NLP-based coding automation. Develop and manage product roadmap aligned with payer and regulatory needs. Lead Agile ceremonies: backlog grooming, sprint planning, and lifecycle management. Translate healthcare coding requirements into AI/NLP features and user stories. Collaborate with stakeholders to drive adoption and feedback. AI/NLP Technical Leadership Lead AI/NLP engineering and data science teams. Guide model development for clinical concept extraction, OCR, diagnosis classification, etc. Improve model performance (accuracy, recall, explainability). Direct architecture, dataset strategy, and deployment pipelines. Ensure scalable and compliant AI delivery. Healthcare & Risk Adjustment Alignment Partner with coding, compliance, and operations teams. Monitor coding quality and risk adjustment performance metrics. Required Qualifications 5+ years in product management; 3+ years in AI/NLP for US healthcare. Experience with clinical text extraction, coding automation, EHR/claims data. Technical Skills (Preferred) Background as Technical Product Owner, Engineering Manager, or AI Lead. Familiarity with ML pipelines, cloud deployment (AWS/Azure), Python, PyTorch/TensorFlow, spaCy, HuggingFace, LLMs. Knowledge of OCR tools, REST APIs, FHIR/HL7, MLOps, and model explainability. Leadership & Communication Proven ability to lead cross-functional teams. Strong communication across technical, business, and compliance domains. Agile leadership and prioritization skills. Preferred Qualifications Experience with payer coding platforms, risk analytics dashboards. Exposure to chart retrieval systems, audit workflows. Masters/PhD in Computer Science, AI/ML, Data Science, or Health Informatics. Why Join Us? 100% Remote Work from anywhere Join a fast-growing product-based company Lead next-gen AI/NLP innovations in healthcare Drive both strategy and execution of high-impact products Be part of a mission-driven team transforming healthcare with ethical, scalable AI Send your resume to ajay.kumar@advantmed.com , along with answers to: 1 Total years of relevant experience 2 Years of experience in U.S. Healthcare Risk Adjustment Coding 3 Brief summary of your U.S. healthcare experience 4 Current designation 5 Current CTC 6 Expected CTC 7 Official notice period 8 Earliest joining date 9 Certifications you hold (AI, Product, Healthcare, etc.) Team size you manage and a brief overview of your team structure Recruiter Details: ajay.kumar@advantmed.com https://www.linkedin.com/in/ajay-kumar-323b3a22a/

Be an integral part of an agile team thats constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Platform, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products with security, stability, and scalability. Your contributions and expertise promote substantial business impact, as you apply your deep technical knowledge and problem-solving skills to address a wide range of challenges across various technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Strong development experience in Java, JEE, Spring Boot, BPMN2 Workflows (Camunda/ Activiti/ Flowable), React, Strong in Design and Architecture, Cloud Native Architectures, Cloud Development, Automations, Ansible Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience in building automations for AWS Ability to initiate and implement ideas to solve business problems Passion for learning new technologies and driving innovative solutions Be an integral part of an agile team thats constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Platform, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products with security, stability, and scalability. Your contributions and expertise promote substantial business impact, as you apply your deep technical knowledge and problem-solving skills to address a wide range of challenges across various technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Strong development experience in Java, JEE, Spring Boot, BPMN2 Workflows (Camunda/ Activiti/ Flowable), React, Strong in Design and Architecture, Cloud Native Architectures, Cloud Development, Automations, Ansible Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience in building automations for AWS Ability to initiate and implement ideas to solve business problems Passion for learning new technologies and driving innovative solutions

Design and deploy GenAI apps using OpenAI, Azure, LangChain, AutoGen, etc. Build full-stack apps (React/NextJS, NodeJS), work on speech & vision AI, video processing (FFMPEG), and collaborate on agile R&D with global teams.

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIAs generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows. What you will be doing: Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate closely with customers to understand their language-related business challenges and design tailored solutions. Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities. Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies. Engage directly with customers to understand their language-related requirements and challenges. Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead the training and optimization of Large Language Models using NVIDIA s hardware and software platforms. Implement strategies for efficient and effective training of LLMs to achieve optimal performance. Design and implement RAG-based workflows to enhance content generation and information retrieval. Work closely with customers to integrate RAG workflows into their applications and systems and s tay abreast of the latest developments in language models and generative AI technologies. Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions. What we need to see: Masters or Ph. D. in Computer Science, Artificial Intelligence, or equivalent experience 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs). Proven track record of successfully deploying and optimizing LLM models for inference in production environments. In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures. Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways to stand out from the crowd: Experience in deploying LLM models in cloud environments (e. g. , AWS, Azure, GCP) and on-premises infrastructure. Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Familiarity with containerization technologies (e. g. , Docker) and orchestration tools (e. g. , Kubernetes) for scalable and efficient model deployment. Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you!

We have multiple roles for Fullstack Developers and Fullstack Lead for our telecom based client in Gurgaon , interesting projects to work on with latest technologies like Gen AI Role 1: Fullstack Developer Exp: 3-6yrs Mandatory Skills: Java/Python, Angular/React, Cloud, AI/ML Job Summary: We are looking for a skilled Software Developer to join our AI-driven product development team. The ideal candidate will be responsible for designing, developing, and maintaining backend services, as well as integrating AI models into our systems. Responsibilities: Develop and maintain scalable, efficient, and maintainable code. Collaborate with cross-functional teams to design and integrate AI-driven applications. Work with LLM models such as OpenAI, Claude, and Lama to develop conversation responses. Create and manage APIs, integrating them into backend systems. Follow version control best practices to manage and collaborate on the codebase. Write and execute unit tests to ensure code quality and performance. Collaborate with other developers and stakeholders to improve product features. Participate in code reviews to ensure high coding standards. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in software development. Strong proficiency in Python, Java, or other relevant programming languages. Experience with cloud platforms like AWS, Azure, or GCP. Understanding of AI and machine learning concepts, especially LLMs. Experience with version control systems like Git. Strong communication and teamwork skills. Role 2 : Fullstack Developer Lead Exp: 7-11yrs Mandatory Skills: Java/Python, Angular/React, Cloud, AI/ML, Good experience in handling teams Job Summary: We are seeking an experienced and dynamic Team Lead Software Developer to lead a team of developers working on AI-driven solutions. This role involves guiding and mentoring the team, while ensuring high-quality development and timely delivery of features. Responsibilities: Lead and manage a team of developers, ensuring alignment with project goals and timelines. Design and implement scalable and maintainable software systems. Ensure high-quality software development practices through code reviews and mentoring. Work closely with cross-functional teams to integrate AI models into the product. Take ownership of system architecture and design decisions. Participate in the development of AI models and assist with their deployment. Ensure proper version control and CI/CD processes are followed. Assist with problem-solving and technical challenges faced by the development team. Stay up-to-date with emerging technologies and AI trends. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of experience in software development, with at least 2 years in a leadership role. Strong expertise in programming languages like Python, Java, or similar. In-depth experience in AI/ML development, including working with LLMs. Experience in system design, architecture, and development practices. Strong understanding of software development best practices and agile methodologies. Proven ability to lead teams and mentor junior developers. Experience with cloud platforms (AWS, Azure, GCP) Interested candidate can mail their CV's at resume@zestpire.com with the details of the CTC, Notice Period and Location.

We are seeking an experienced AI Engineer with a strong background in machine learning, deep learning, and AI model development. The ideal candidate will have 5+ years of hands-on experience designing, implementing, and deploying AI/ML solutions in production environments. You will work closely with cross functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities: Optimize and fine-tune AI models for performance, scalability, and efficiency. Work with large datasets, including data preprocessing, feature engineering, and model training. Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs. Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems. Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges. Conduct A/B testing, model validation, and performance monitoring to ensure robustness. Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.). Mentor junior engineers and contribute to technical decision-making. Required Skills & Qualifications: 3 to 5 years of professional experience in AI/ML engineering or related roles. Strong expertise in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with deep learning architectures (CNNs, RNNs, Transformers, GANs, etc.). Experience with generative AI (Diffusion models, LLM fine-tuning, RAG). Proficiency in NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO, etc.) Hands-on experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes). Knowledge of cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML). Familiarity with big data technologies (Spark, Hadoop, SQL/NoSQL databases). Strong problem-solving skills and ability to translate business needs into AI solutions. Experience with CI/CD pipelines and version control (Git). Bachelors or Masters in Computer Science, AI, or related field (preferred but not mandatory).

Name of the position: Data Scientist Location: Coimbatore No. of resources needed : 01 Mode: Fulltime Years of experience: 4+ Years Overview We are seeking a highly skilled and motivated Data Scientist to join our growing AI and Data team. In this role, you will design, develop, and deploy advanced AI and machine learning models using modern frameworks and cloud platforms. You will work closely with cross-functional teams to integrate AI-driven solutions into core business processes and stay abreast of the latest trends in generative AI, LLMs, and Agentic AI. Key Responsibilities Design, develop, and deploy AI/ML models using technologies such as GenAI, FAST API, and AWS/GCP services (e.g., Lambda, SageMaker, Microsoft AI Studio). Implement model versioning, monitoring, and performance tracking to maintain data accuracy and reliability. Collaborate with engineers, data scientists, and domain experts to integrate AI solutions into business operations. Build and maintain high-quality, secure, and scalable data pipelines. Continuously review and apply the latest advancements in Agentic AI, LLMs, and AI research to improve model capabilities. Optimize machine learning workflows for cloud environments (AWS, GCP, or Azure). Contribute to AI architecture planning and best practices. Required Skills : Minimum 4+ years of experience in data science and AI/ML. Strong programming skills in Python. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Proficiency in machine learning algorithms, model training, and deployment. Experience with model versioning and monitoring tools (e.g., MLflow, Weights & Biases). Strong problem-solving and analytical capabilities. Experience with REST APIs and ML model integration. Domain experience in medicine or insurance. Familiarity with Large Language Models (LLMs) and Agentic AI systems. Exposure to backend technologies and microservice development. Advanced degree (Master s preferred) in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or related field.

We are seeking an experienced AIML Subject Matter Expert (SME) to lead and support the development, implementation, and optimization of AI/ML-driven solutions. The ideal candidate will have deep expertise in artificial intelligence and machine learning, with a strong ability to collaborate with cross-functional teams, mentor junior staff, and drive innovation in complex projects. Key Responsibilities 1.AI/ML Solution Development: Design and implement AI/ML models for predictive analytics, process automation, and optimization. Oversee the lifecycle of machine learning projects, from ideation to deployment. 2. Technical Leadership: Provide strategic guidance on AI/ML technologies, frameworks, and best practices. Collaborate with stakeholders to align technical solutions with business objectives. 3. Content and Process Support: Work closely with trainers to prepare technical content for AI training programs. Assist in defining technical process flows and ensure seamless knowledge transfer. 4. Continuous Improvement: Establish feedback loops to refine and enhance AI/ML models. Monitor performance metrics and implement updates to improve efficiency and accuracy. 5. Mentorship and Knowledge Sharing: Mentor junior data scientists and engineers, fostering a culture of continuous learning. Share domain knowledge to strengthen the team s technical capabilities. Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, or a related field. 10+ years of experience in AI/ML development and deployment. Profic

Job Description The development engineer will be part of a team working on the development of the Illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solvers and well conversant in analyzing, architecting,, and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in the the fundamentals of machine learning and artificial intelligence. Should have hands on experience through ML lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands-on experience with data synthesis and processing for the purpose of training a model. Relevant work experience in the fields of computer vision and graphics, etc. Experience: 2-4 Years in ML .

SILICON DESIGN ENGINEER 2 THE ROLE: The focus of this role is to execute the front end implementation of sub-blocks or IP. This involves ownership of synthesis, LEC, CLP, prelayout STA and postlayout STA/Timing closure. Co-ordinate with design team and PNR teams. KEY RESPONSIBILITIES: Responsible for front end implementation of IPs which includes synthesis, LEC, CLP, prelayout STA and postlayout STA/Timing closure Collaborate with designer and PNR teams to achieve closure. Execute as per schedule. Complete quality delivery for synthesis and timing closure. Debug and resolve technical issues PREFERRED EXPERIENCE: Experienced in synthesis and timing closure Good to have experience in LEC, CLP Have handled blocks with complex designs, high frequency clocks and complex clocking complete understanding of timing constraints, low power aspects and concepts of DFT Have debug experience to solve issues. scripting and automation ACADEMIC CREDENTIALS: Bachelors with 2 years of experience or Masters degree with 1 years of experience in Electrical Engineering #LI-RP1

Remote: This is a remote position, so you ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models for Pricing + Bundling, and Generative AI projects. You will work closely with ML engineers to develop ML pipelines to solve high-impact problems. You will also collaborate with other platform teams to ensure the quality and reliability of our ML solutions. What youll get to do... Develop and implement advanced machine learning algorithms for Pricing and Generative AI projects using PyTorch. Design and refine ML models to enhance their performance, scalability, and robustness. Analyze and interpret complex data sets to inform model development and ensure accuracy and effectiveness. Stay abreast of the latest developments in machine learning and artificial intelligence, integrating new methodologies and techniques as appropriate. Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments and collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives. Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry. Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles. Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc. Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc. Experience in writing unit tests and documentation for ML code. You might also have... Master s degree or PhD in computer science, engineering, statistics, or related fields. Familiarity with prompt engineering and large language models (LLM) is a plus. Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorganChase within the Consumer & Community Banking Technology Team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. Job responsibilities Represents a product family of technical governance bodies Provides feedback and proposes improvements to architecture governance practices Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on data management concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), applications, and architecture Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Preferred qualifications, capabilities, and skills Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture Adds to team culture of diversity, opportunity, inclusion, and respect If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorganChase within the Consumer & Community Banking Technology Team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. Job responsibilities Represents a product family of technical governance bodies Provides feedback and proposes improvements to architecture governance practices Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on data management concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), applications, and architecture Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Preferred qualifications, capabilities, and skills Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture Adds to team culture of diversity, opportunity, inclusion, and respect

Position Title: Product Owner, Portfolio Data Product About Portfolio Management in R&D context In the context of research and development the portfolio is the referential for all the new compound and drug that enter is SANOFI portfolio refers to the methods and tests used to ensure that a pharmaceutical product meets the required quality standards before it is approved for market use. About the Role: We are looking for a Digital Product Owner to lead the development of innovative software products supporting portfolio management for research and development this includes technologies such as advanced machine learning operations (ML Ops) workflows, including generative AI if there are any use cases. As the Product Owner, you will be responsible for collaborating with your peers and digital stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated agile team composed of data engineers and application engineers to deliver high-impact digital products that empower cutting-edge data consumers in research and development. Key Responsibilities: 1. Product Ownership: o Lead the development and evolution of digital of core data products that support research and development portfolio management o Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. o Gather and prioritize requirements from portfolio stakeholders, technical and functional to define the What and Why of product development. 2. Collaboration & Stakeholder Management: o Work closely with data consumers (Digital and business if any), data engineers, and platform engineers to ensure the product meets both functional and technical requirements. o Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. 3. Product Delivery: o Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. o Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. o Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. 4. Continuous Improvement: o Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. o Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. 5. Technical Leadership & Strategic Vision: o Bring a deep research and development portfolio processes to align the product vision to real needs. o Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. Key Requirements: Experience: o 5+ years in product management or at least in project management. o Experience leading product(or service) development in pharmaceutical environments, particularly research, manaufacturing or development. o Knowledge on data integration and computing o Familiarity with cloud environments such as AWS. o Strong understanding of artificial intelligence and machine learning). Soft Skills: o Strong drive and ability to articulate product vision and align teams around shared goals. o Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. o Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. o Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. Technical Skills: o Solid knowledge of Agile methodologies, including experience working in Scrum teams. o Familiarity with Data base, data integration and data engineering. o Strong understanding of UX/UI, application design, and data engineering principles. o Experience with cloud platforms, AI platforms, and data pipelines is a plus. Education: o Master s degree in computer science, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus.

Job Summary To support our extraordinary teams who build great products and contribute to our growth, we re looking to add a Technician - Engineering Change Management in Chennai, India. What a typical day looks like: Creating part numbers for BOM in agile & Baan Creating AVL in agile & Baan system. Downloading customer documents like product specifications etc & releasing same in CDC Work as a Change Analysts during NPI for new changes. Release Part list to production for new models & after implementation of ECOs Study the ECOs / Drawings closely and coordinate with the site Process / Product Engineering team Work closely with Engineering and materials teams to review product updates / modifications. Respond to Business Partner (requestor) and customer on queries relating to Engineering Change Orders Ensure adherence to targets set for all Process Metrics. Good in People management & Leadership skills The experience we re looking to add to our team: Diploma or B.SC (EEE/ECE) graduate with (0-2) years of experience as a NPI/ECO Engineer in Manufacturing set up Preferably in EMS Industry. Electronic components with schematic symbols Knowledge of Electronics Process/Methods,Knowledge of Electronics Machine and types of electronics components. Analytical & Logical reasoning and E-mail writing. Basic Power Point skills and knowledge in Excel VBA. Knowledge in Auto CAD/Design Software and knowledge on PCB basis and problem solving skills Basic Concepts of Artificial Intelligence (AI) and Machine learning (ML) Knowledge of MS office and MS outlook Good analytical skills. Coaching & mentoring skills. Conflict resolution. Excellent written and oral communication skills in English MANDATORY. What you ll receive for the great work you provide: Health Insurance PTO Job Category Production Engineering Required Skills: Optional Skills: .

As a Software Engineer at JPMorgan Chase within the Consumer and Community Banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team Job responsibilities Executes creative software solutions, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Collaborates with internal teams to drive outcomes-oriented probing of technical credentials, and applicability for use within existing systems and information architecture Be part of communities of practice across Software Engineering to be aware and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), Java, Springboot, Rest API s, Microservices including any UI like React framework Ability to design, develop and troubleshoot Microservices, GOS / Mongo / Aurora DB and React single page applications. Proficiency in automation and continuous delivery methods, Testing Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Proficient in Spring boot and Spring cloud Ability to coach team members on design and best practices Preferred qualifications, capabilities, and skills Experience in AWS services like ECS, S3, ALB, NLB, Dynamo, Aurora Experience in Terraform, Kafka Experience of monitoring and alerting tools like Grafana, Splunk, Dynatrace, Datadog, CloudWatch As a Software Engineer at JPMorgan Chase within the Consumer and Community Banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team Job responsibilities Executes creative software solutions, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Collaborates with internal teams to drive outcomes-oriented probing of technical credentials, and applicability for use within existing systems and information architecture Be part of communities of practice across Software Engineering to be aware and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), Java, Springboot, Rest API s, Microservices including any UI like React framework Ability to design, develop and troubleshoot Microservices, GOS / Mongo / Aurora DB and React single page applications. Proficiency in automation and continuous delivery methods, Testing Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Proficient in Spring boot and Spring cloud Ability to coach team members on design and best practices Preferred qualifications, capabilities, and skills Experience in AWS services like ECS, S3, ALB, NLB, Dynamo, Aurora Experience in Terraform, Kafka Experience of monitoring and alerting tools like Grafana, Splunk, Dynatrace, Datadog, CloudWatch

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience in Mobile Automation Testing Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience in Mobile Automation Testing Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Job Summary Synechron is seeking a proactive and skilled Generative AI Testing & Prompt Engineer to join our innovative technology team. In this role, you will design and execute prompt strategies, develop automation workflows, and evaluate AI outputs to ensure high-quality, unbiased, and reliable generative models. Your expertise will help improve AI performance, safety, and ethical standards, enabling the organization to leverage cutting-edge AI capabilities effectively and responsibly. Software Requirements Required: Python (including libraries such as NumPy, Pandas, and testing frameworks) Bash or shell scripting for automation workflows Version control tools (Git) AI evaluation metrics tools and frameworks for measuring quality, bias, and safety Preferred: Experience with AI/ML frameworks such as TensorFlow or PyTorch CI/CD automation tools for seamless testing and deployment workflows Data analysis tools and platforms for metrics development Overall Responsibilities Develop and refine prompts to evaluate the capabilities, accuracy, creativity, and safety of Generative AI models, including NLP and multimodal models. Design comprehensive testing strategies across diverse scenarios using prompt variations to assess performance, bias, and ethical considerations. Automate testing workflows to streamline data collection, prompt execution, output analysis, and reporting. Analyze and interpret AI outputs, providing insights for improvements and bias mitigation. Collaborate closely with AI data scientists and developers to tune prompt techniques and enhance model behavior through automation and feedback. Document prompt scripts, testing procedures, automation workflows, and test results for transparency and reproducibility. Continuously refine prompt engineering and testing methodologies based on latest AI advancements and industry best practices. Stay informed about new trends, tools, and ethical considerations related to generative AI, prompt engineering, and automation. Technical Skills (By Category) Programming Languages: Required: Python (advanced scripting and automation capabilities) Preferred: Bash, shell scripting, or other automation languages Databases/Data Management: Basic understanding of data storage and querying for managing testing datasets Experience with data labeling and quality control processes Cloud Technologies: Preferred: Basic familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment and testing Frameworks and Libraries: Required: Generative AI evaluation tools, scripting frameworks for automation, prompt management tools Preferred: TensorFlow, PyTorch, or similar AI/ML libraries Development Tools and Methodologies: Required: Version control (Git), scripting for automation, reporting tools Preferred: CI/CD pipelines for automated testing and deployment in cloud or on-prem environments Security Protocols: Awareness of data privacy, security standards, and bias mitigation techniques Experience Requirements 3-5 years of professional experience in testing generative AI models, including prompt writing and optimization. Proven experience designing prompt strategies for NLP and multimodal models. Hands-on experience automating evaluation workflows for AI outputs, bias detection, and safety assessment. Familiarity with model evaluation metrics, including relevance, coherence, bias, and safety. Industry experience in AI development, testing, or related research preferred; alternative experience with related automation and data analysis roles may be considered. Day-to-Day Activities Develop, test, and optimize user prompts for AI model evaluations across multiple scenarios. Automate processes for prompt execution, data collection, and output assessment. Monitor and analyze AI model responses for quality, relevance, bias, and ethical compliance. Collaborate with data scientists, AI developers, and product teams to implement prompt tuning and automation improvements. Document testing strategies, automation scripts, and test outcomes thoroughly. Provide actionable feedback to improve model behavior and address bias or safety issues. Review industry trends and incorporate new testing tools or methodologies to advance testing capabilities. Qualifications Bachelors degree in Computer Science, Data Science, AI, or related field. Relevant certifications in AI, data analysis, or automation practices are a plus. Demonstrated commitment to continuous learning of AI ethics, bias mitigation, and prompt engineering. Professional Competencies Critical thinking and analytical skills to interpret complex AI outputs and identify issues. Problem-solving abilities to develop effective prompts, troubleshoot automation workflows, and improve testing strategies. Strong communication skills for documenting processes and collaborating with multidisciplinary teams. Ability to adapt rapidly to evolving AI technologies and industry standards. Interpersonal skills for stakeholder engagement and feedback provision. Effective time management to handle multiple test scenarios and documentation tasks efficiently.

STARTEK is looking for Executive - Operations to join our dynamic team and embark on a rewarding career journey We are looking for a highly skilled and experienced Consultant to join our team, with expertise in SAP Business by Design, Zoho, and other relevant technologies The ideal candidate will have a strong background in software development and implementation Roles and Responsibility Collaborate with cross-functional teams to design and implement SAP Business by Design solutions Provide technical expertise and support for Zoho-related projects Develop and maintain high-quality code using Java and AWS Participate in the development of AI and ML models Ensure seamless integration of mainframe systems with iOS applications Troubleshoot and resolve complex technical issues related to SAP Business by Design and Zoho Job Requirements Strong knowledge of SAP Business by Design, Zoho, and other relevant technologies Experience with Java, AWS, and iOS development Familiarity with AI and ML concepts Excellent problem-solving skills and attention to detail Ability to work collaboratively in a team environment Strong communication and interpersonal skills A graduate or postgraduate degree is required for this position Additional Info The company offers a dynamic and supportive work environment, with opportunities for professional growth and development