1197 Aiml Jobs - Page 21

You will leverage your technical skills to source and prepare data from a variety of data sources, including traditional databases, no-SQL, Hadoop, and Cloud. Working closely with the data analytics staff within our team, you will understand requirements and collaborate to optimize solutions while fostering new ideas. Additionally, you will collaborate with the Data Domain Architect lead on all aspects of Data Domain Architecture, including resource management. It will also be part of your responsibilities to work with Tech, Product, and CIB data partners to research and implement use cases. To excel in this role, you should have a minimum of 8+ years of relevant work experience as a software developer, data/ML engineer, data scientist, or business intelligence engineer. A Bachelor's degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics, or another quantitative subject is required. Your analytical thinking and problem-solving skills, combined with the ability to comprehend business requirements and effectively communicate complex information to diverse audiences, will be essential. Collaboration across teams and at varying levels using a consultative approach is expected, along with a general understanding of Agile Methodology. Knowledge of cloud platforms and hands-on experience with Databricks or Snowflake is crucial. Proficiency in traditional database skills (e.g., Oracle, SQL Server) and strong overall SQL skills are necessary. Experience with Python/PySpark, an understanding of ETL framework and tools like Alteryx, and a fundamental grasp of Data Architecture are all important. You should be able to profile, clean, and extract data from various sources. Moreover, having experience in analytics and insights development, storytelling with data using tools like Tableau and Alteryx, as well as exposure to data science, AI/ML, and model development will be advantageous for this role.,

Yamaha Motor Solutions India is looking for a proactive and results-driven Business Analyst to join the Emerging Technology & Innovation Department. As a Business Analyst, you will be instrumental in spearheading strategic initiatives, conducting market analysis, identifying new business opportunities, and supporting innovation projects in various emerging technology domains such as drones, AI/ML, robotics, agriculture, carbon credits, and sustainability. The ideal candidate should hold a Bachelor's degree in business administration, Engineering, Technology, or a related field. An MBA or Masters's degree is preferred, although not mandatory if there is substantial relevant experience. You should have 2-4 years of experience in business analysis, technology consulting, innovation management, or market research roles, with a preference for experience in Big 4 firms. A strong interest and passion for emerging technologies like Drones, Robotics, AI/ML, IoT, and Sustainability are essential for this role. Additionally, you should possess excellent analytical, research, and problem-solving skills. Your communication and presentation abilities should be top-notch, allowing you to articulate complex ideas clearly through both written and visual mediums. The successful candidate will be self-motivated, able to work independently, manage multiple priorities effectively, and take ownership of deliverables. Proficiency in Microsoft Office Suite (PowerPoint, Excel, Word) and visualization tools such as Tableau and Power BI is required. Experience with collaboration platforms like SharePoint, Teams, or similar tools is considered a plus. If you are a dynamic individual with a keen interest in driving innovation in emerging technologies, then this Business Analyst position at Yamaha Motor Solutions India could be the perfect opportunity for you.,

You are looking for an Innovation Analyst to join your team for a Contract, Hybrid role based in Delhi. As an Innovation Analyst, your key responsibilities will include playing a significant role in establishing and managing the Startup Tunnel. This will involve sourcing startups, organizing events, and setting up the infrastructure for the Startup Tunnel. An ideal candidate will have a proven track record of successfully bringing in startups, particularly in the field of AI/ML, and building a robust pipeline of 100+ startups. You will actively contribute to the design, delivery, and overall management of the Startup Tunnels acceleration program and its portfolio. Additionally, you will be responsible for assembling startup cohorts, mentoring them on growth hacking strategies, and developing effective Go-to-Market plans. Furthermore, you will have experience in establishing virtual events verticals and leading the conceptualization of incubation-acceleration programs. Building strong relationships with investors, mentors, and ecosystem partners will be a key aspect of your role. You will collaborate closely with business leaders to identify challenges, define problems, and source external solutions to drive innovation within the organization. If you are a proactive, results-driven individual with a passion for innovation and a strong background in startup ecosystems, this role offers an exciting opportunity to make a significant impact and drive growth within the Startup Tunnel.,

As an Associate Director in GenAI Delivery, you will be responsible for leading the delivery and execution of cutting-edge Generative AI programs for key insurance clients. Your role will involve managing cross-functional pods, ensuring high-quality project delivery, and aligning GenAI solutions with business goals. You will own the end-to-end delivery of GenAI projects across multiple client engagements. This includes defining and tracking project KPIs, milestones, and business value metrics. Leading cross-functional pods consisting of engineers, product managers, and QA professionals will also be a key aspect of your responsibilities. You will serve as the primary point of contact for client and internal stakeholder communications, ensuring compliance with AI governance practices and driving the reusability of platform tools. Identifying project risks, proactively resolving blockers, maintaining delivery documentation, and providing regular status updates will be crucial to your success in this role. In terms of the tech stack, you should be familiar with GenAI Platforms such as OpenAI and Azure OpenAI, project management tools like Jira and Confluence, cloud platforms such as AWS, Azure, and GCP, as well as Agile methodologies like Scrum and Kanban. Experience-wise, you should have 10-12 years of experience, with at least 2-3 years in AI/Analytics/Technology project leadership. Experience in leading AI/ML/GenAI delivery teams, strong communication, governance, and client relationship skills are essential for this role. Familiarity with the insurance industry would be a plus. If you are a seasoned professional looking to take on a challenging role that involves driving innovation in AI delivery for insurance clients, this opportunity as an Associate Director in GenAI Delivery could be the perfect fit for you.,

Role: AI Solutions Architect - R&D Vacancies: 10 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

About the Role: We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents. Designation – Data Scientist Key Responsibilities: Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc. Build and fine-tune LLM-based pipelines for tasks such as information extraction, document summarization, chat-based interfaces, and automated reasoning. Work closely with cross-functional teams (engineering, product, business) to translate business problems into data science solutions. Conduct exploratory data analysis, statistical modelling, and feature engineering across diverse data sources. Evaluate model performance using appropriate metrics and iterate for improvement. Stay up to date with the latest research and advancements in AI/ML, computer vision, and NLP. Required Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related fields. 3–5 years of hands-on experience in Data Science or Machine Learning roles. Strong proficiency in Python and ML libraries such as scikit-learn, pandas, PyTorch/TensorFlow, OpenCV, Langchain etc. Experience with Computer Vision frameworks (e.g., YOLO, Detectron2, MM Detection) and LLMs (e.g., Hugging Face Transformers, Lang Chain, LLaMA, GPT). Experience with real-world model deployment and evaluation. Strong grasp of machine learning concepts, statistical analysis, and data manipulation. Excellent problem-solving, communication, and stakeholder collaboration skills. Good to have: Exposure to the lending, finance, or banking domain (e.g., credit scoring, income estimation, fraud detection). Experience with document AI or multi-modal AI systems. Familiarity with cloud platforms (AWS/GCP/Azure) and MLops tools. Experience working with OCR engines (Tesseract, PaddleOCR, etc.) and integrating CV+LLM pipelines. Understanding of RAG pipelines, fine-tuning of open-source LLMs, or prompt engineering. Location – Ahmedabad (Onsite) Experience – 3 to 5 Years

EVOASTRA VENTURES PVT LTD is looking for Machine Learning Engineer Intern to join our dynamic team and embark on a rewarding career journey. Support machine learning initiatives, develop and implement ML models, perform model training, testing, and deployment, collaborate with data scientists and engineers, ensure model accuracy and scalability, and gain hands - on experience in ML techniques and tools. Assist in the optimization of ML workflows and processes.

Role & responsibilities Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems. Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets. Conduct bias testing, data drift analysis, and adversarial robustness validation. Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria. Automate testing pipelines and integrate with CI/CD environments where applicable. Maintain traceability matrices, defect logs, and model validation documentation. Preferred candidate profile Experience in software testing or QA, with at least 1 to 2 years in AI/ML or data-centric testing. Strong understanding of AI model evaluation metrics, data sampling, and validation techniques. Experience using testing frameworks (e.g., PyTest, Great Expectations) and visualization tools. Familiarity with Python, JSON, and REST APIs. Bachelors degree in Computer Science, Statistics, or a related field. Preferred Skills Experience testing LLMs, GenAI prompts, or RAG workflows. Exposure to responsible AI frameworks and model audit practices. ISTQB or other QA certifications are a plus.

About the Role: We are seeking a highly motivated and experienced AI Solution Architect to join our growing team. In this critical role, you will play a pivotal role in designing and developing innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their challenges and craft comprehensive solutions that leverage the power of AI/ML and Generative AI. Responsibilities: Lead from the front as a hands-on subject matter expert, architecting and crafting scalable AI and Generative AI solutions. Partner with customers to deeply understand their business needs and pain points related to AI/ML and Generative AI. Lead technical responses to RFPs (Request for Proposals), crafting detailed solution architectures, technical approaches, and implementation methodologies Design and build robust and secure solution architectures, encompassing conceptual, technical, and security considerations. This includes high-level and low-level designs, implementation roadmaps, and integration plans with existing workflows. Develop compelling solution proposals, including high-level approach and architecture diagrams with clear narratives that explain key design choices, such as: Selection of appropriate AI/ML models (e.g., supervised learning, unsupervised learning, deep learning) based on data characteristics and problem requirements. Strategies for data pre-processing, feature engineering, and model training. Considerations for model explainability, bias mitigation, and fairness. Work along with engineering team to create proof-of-concept (POC) demonstrations that validate the proposed solutions, considering factors like: Identify and leverage existing AI/ML and Generative AI accelerators and solutions to enhance presales activities, client demos, and POC development. Continuously stay updated on the latest advancements in Generative AI through ongoing learning and training initiatives. Qualifications: Bachelors or masters degree in computer science, Engineering, or a related field. 10+ years of experience in designing and developing AI/ML and Generative AI solutions. Proven track record of successfully translating customer requirements into effective AI-powered solutions. Strong understanding of machine learning principles, frameworks (e.g., pandas, TensorFlow, PyTorch), and best practices. Expertise in cloud computing platforms (Azure, AWS, GCP) for AI/ML deployments. In-depth knowledge of Generative AI models and services like Azure OpenAI, Google AI, AWS, Anthropic, Nvidia NeMo, and Microsoft Copilot etc., plus open source LLMs Experience with natural language processing (NLP) techniques for tasks like text classification, sentiment analysis, and machine translation. Understanding of computer vision (CV) concepts and frameworks for tasks like object detection, image recognition, and image segmentation; and reinforcement learning (RL). Familiarity with designing applications with Nvidia CUDA, and familiarity with NVIDIA NeMo framework for GenAI application development. Knowledge of model deployment strategies, including containerization and orchestration tools (e.g., Docker, Kubernetes).

Job Description: We are looking for Senior AI/ML Engineer with expertise in computer vision to develop a privacy- compliant facial recognition module for our drive-through ordering software. You will build models to generate temporary facial vectors for customer identification, ensuring seamless personalization. Responsibilities: Develop facial recognition models using frameworks like FaceNet or ArcFace. • Generate temporary facial vectors for session-based customer identification. • Ensure compliance with privacy standards by avoiding permanent biometric storage. • Optimize models for robustness in varied lighting conditions. • Integrate with CRM modules to retrieve customer profiles based on recognition results. • Collaborate with backend engineers to process camera feeds via cloud APIs. Qualifications: Masters or PhD in Computer Science, AI, or related field (or equivalent experience). • 3+ years of experience in computer vision or facial recognition. • Proficiency in Python, OpenCV, and ML frameworks (TensorFlow, PyTorch). • Experience with facial embedding techniques and similarity matching. • Strong understanding of privacy-compliant biometric processing. • Ability to work with cross-functional teams on software integration. Preferred Skills: • Experience with cloud-based computer vision APIs (e.g., AWS Rekognition). If interested Please share your resume on shivam.gaurav@programmers.io

Key Responsibilities: Lead AI/ML solution development using Python, including API integration and data processing tasks. Conduct research and feasibility analysis for GenAI use cases relevant to the customers business. Review offshore deliverables to ensure adherence to best practices and quality standards before client submission. Collaborate with cross-functional teams to align technical solutions with business goals. Confidently articulate AI/ML concepts and practices to both technical and non-technical stakeholders. Preferred Skills: Strong hands-on experience in Python programming. Exposure to ML Ops practices and deployment workflows. Ability to mentor junior team members and guide solution design. Excellent communication and stakeholder management skills.

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2+ years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable. Primary Responsibilities: Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data Build, tune, and evaluate machine learning models for predictive and prescriptive analytics Conduct drift analysis to monitor model performance and ensure accuracy over time Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field 10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role Hands-on experience in delivering production-grade AI/ML projects Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Solid understanding of mathematical and statistical concepts Solid programming skills in Python, with experience in pandas, numpy, and SQL Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven excellent problem-solving and analytical thinking skills Proven solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications: Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #nic

Technical Expertise: Must Have: Experience in Emma orchestration engine is a must Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Hands-on experience with Azure open AI and related tools and services. Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment. Experience: 7 to 10 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Key Responsibilities: Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation. Write efficient, clean, and maintainable Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Fine-tune and optimize AI models for business use cases. Mandatory Competencies Programming Language - Python - Flask Beh - Communication and collaboration

We are seeking a dynamic and technically strong AI Lead with 68 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsofts AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry. The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions. Key Responsibilities: Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework. Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365. Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems. Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization. Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.). Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps. Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines.Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences. Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring. Create documentation and reusable components/templates for repeated use across the organization. Stay current on Microsofts AI advancements and recommend tools, features, or practices that improve time-to-value and performance. Must-Have Skills: 6-8 years of overall experience, including 5+ years in AI/ML or Conversational AI Deep hands-on knowledge of: Azure OpenAI services and APIs Copilot Studio for building Microsoft 365-integrated assistants Microsoft Bot Framework SDK/Composer for chatbot development Prompt engineering for LLM optimization Strong Python or Node.js development skills (for AI orchestration and integration) Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: Experience with Semantic Kernel or LangChain Working knowledge of AI Foundry for orchestrating AI pipelines Familiarity with Copilot extensibility and Teams App Studio Exposure to M365 Copilot APIs and custom plugin creation Knowledge of Responsible AI, data security, and compliance principles Familiarity with containerized deployment (Docker, Kubernetes)Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). The impact you will have in this role: The Associate Director/Senior Manager - ServiceNow Engineering will be part of the Engineering team responsible for development and support of the ServiceNow products - ITSM, and ITOM, including Service Catalog, Service Portal, Operational ITIL Processes, ITAM, CMDB, Discovery, Event Mgmt., and System Integrations Your Primary Responsibilities: Manage development and implementation of applications using ServiceNow platform capabilities Manage team of engineers (developers and testers) to design, develop, test automation and delivery of high-quality products on ServiceNow platform Collaborate with Product owners, Business Analysts and stakeholders to provide engineering and architectural expertise to solution designProvide engineering expertise on ServiceNow platform to Product Team and stakeholders to influence and drive platform adoption Manage and support execution of releases, product upgrades and technology deployments Provide level-3 support to address critical incidents and manage day-to-day activities of the Engineering team Lead/represent team in Agile Scrum ceremonies, SDLC process management and be accountable for project deliverables Own and drive Engineering roadmap, work across organization and exercise influence to ensure commitment to internal/external stakeholders and product quality Produce engineering metrics and drive efficiency in SDLC processes/teams Responsible for staffing, mentoring, and maintaining high performing engineering team Collaborate with onshore/offshore team environment across US/India time zones **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Talents needed for Success: 12+ years managing software development teams, with 4+ years in ServiceNow Bachelor's or Master's in Computer Science or equivalent Strong understanding of Service platform architecture, releases, and best practices Expertise in IT Service Management, ServiceNow Discovery, CMDB, Event Management, and ATF 5+ years with JavaScript, HTML, AngularJS, REST APIs Advanced experience with ServiceNow Platform/Scripting/APIs/Service Portal/Applications/Flow Designer/IHUB Certifications: ServiceNow System Administrator (CSA) and Application Development (CAD) SDLC and Agile methodologies expertise Skilled in managing multiple priorities and project deliverables Excellent written and verbal communication skills to explain technical solutions clearly to various audiences Preferred Skills IT Asset Management and Operations Management ServiceNow: AI/ML, UI Builder, Virtual Agent, AI Search Certifications: ServiceNow CIS ITSM, ITOM, Discovery, CMDB, CTA

Job Description: Designs and implements AI architectures based on client needs Strategically utilizes the in-house data center as a platform for customer AI workloads Collaborates closely with international teams of data scientists, engineers, and infrastructure specialists Aligns AI solutions with compute, storage, and network capacities across private, hybrid, and public infrastructures Makes strategic choices in AI tools and technologies with a focus on open source and scalability Supports MLOps implementations, CI/CD, data pipelines, and lifecycle management Contributes to AI governance, reliability, and solution scalability Keeps up with the latest developments in AI, hardware acceleration, and infrastructure Assists clients in leveraging AI at an enterprise level Requirements: At least 10 years of experience as an AI Architect or in a comparable technical AI role Experience developing AI solutions for clients in an enterprise environment Experience working in an international context with cross-functional teams Experience with AI hardware and solutions from NVIDIA, IBM, and HPE is a plus In-depth knowledge of open-source AI frameworks such as TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, etc. Familiarity with containers and orchestration tools like Docker and Kubernetes Understanding of data governance, security, and compliance in AI projects Strong communication skills and a client-oriented mindset Excellent command of the English language, both spoken and written

AI/ML Engineer (Computer Vision) Job Location Remote OR Jaipur or Hyderabad preferred (Hybrid) Experience Range 5-6 Y Timings 3 hours overlap with EST Timing Job Description: Enovate AI seeks an AI/ML Engineer with expertise in computer vision to develop a privacy- compliant facial recognition module for our drive-through ordering software. You will build models to generate temporary facial vectors for customer identification, ensuring seamless personalization. Responsibilities: Develop facial recognition models using frameworks like FaceNet or ArcFace. Generate temporary facial vectors for session-based customer identification. Ensure compliance with privacy standards by avoiding permanent biometric storage. Optimize models for robustness in varied lighting conditions. Integrate with CRM modules to retrieve customer profiles based on recognition results. Collaborate with backend engineers to process camera feeds via cloud APIs. Qualifications: • Masters or PhD in Computer Science, AI, or related field (or equivalent experience). 3+ years of experience in computer vision or facial recognition. Proficiency in Python, OpenCV, and ML frameworks (TensorFlow, PyTorch). Experience with facial embedding techniques and similarity matching. Strong understanding of privacy-compliant biometric processing. Ability to work with cross-functional teams on software integration. Preferred Skills: Experience with cloud-based computer vision APIs (e.g., AWS Rekognition). If interested, please share your resume on ekta.srivastava@programmers.io

AI Project Manager1 Lead cross-functional teams (engineering, data science, product, QA) to deliver AI-driven solutions on time and within budget. Manage project scopes, risks, resources, and stakeholder communication for AI/ML implementations. Translate complex AI technical requirements into actionable project plans. Ensure adherence to Agile/Scrum methodologies and AI project lifecycle best practices. Collaborate with clients to define success metrics, KPIs, and ROI for AI projects. Drive continuous improvement by integrating feedback and post-implementation reviews. Mentor junior project managers on AI project delivery frameworks. Required Qualifications: Minimum 10 years of hands-on project management experience. 3+ years specifically managing AI/ML, NLP, or Computer Vision projects (e.g., model deployment, data pipeline integration, or AI product development). Proficiency in Agile/Scrum , JIRA, Confluence, and project planning tools (e.g., MS Project). Technical understanding of AI concepts (machine learning lifecycle, data preprocessing, MLOps). Experience with cloud platforms (AWS/Azure/GCP) and AI deployment workflows. Strong stakeholder management skills with IT, and business teams. Bachelors degree in Computer Science, Engineering, or related field. PMP/CSM certification preferred

Designation: Professor for CSE and allied courses AI/AIML/DS-Data Science/IT Job Purpose & Role : To teach, research and serve for academic, institutional & students growth & development. Work Information C.1 Research To lead and coordinate research activity in the subject area. To publish the outcomes of research, with a record of securing publications in internationally rated journals of high standing. To publish research disseminated in scholastic or professional practice publications. To have proven experience of securing significant external funding from prestigious funders and a record of successfully leading and managing research projects, people and resources. To foster an environment which encourages research among students at undergraduate and graduate To lead research initiatives with colleagues and a wide range of external collaborators including internationally funded research projects as appropriate. To do quality research, have good academic record and books/research paper publications/IPR/patents To promote and represent the GL Bajaj at National & International level to facilitate in branding. To manage research and other collaborative partnerships with other Institutions and external bodies. To continue to build on an established record of invited international keynote conference presentations and prestige lectures. To enhance the GL Bajajs reputation with professional/scholarly bodies g. by promoting public understanding of the subject. C.2 Learning & Teaching To have strong command on subject knowledge of Computer Science & Allied Courses ( Core CSE /AI/AIML/Data Science/IT). To teach undergraduate and postgraduate students, and to carry out the associated examining processes. To apply and promote best teaching practice, demonstrating continuous professional development and critical reflective practice. To use and promote the use of a range of methods and techniques in teaching, learning and assessment including pursuing digital and modern methods of delivery. Have an ability to stay abreast on the latest trends and development in the subject area. Proven experience of excellent delivery of the subject for the students and achieve the best results/awards/positions in the affiliated university ( AKTU Abdul Kalam Technical University). To fulfill responsibility concerning students in respect of instruction, progress, and examination. To lead the development and clarification of academic standards and quality for the subject area. To work with the leadership team to lead the development & implementation of student learning strategy & innovative assessment methods Meaningfully engaging students in class, seminars, workshops, conferences, events, applied subject knowledge projects. To conduct courses as per syllabus and ordinance issued by the AKTU university from time to time. To provide an opportunity to students to work on live projects. To connect industry with academia for providing hands on experience leading to skill development of students. To guide junior faculty members to prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students C.3 Responsibilities To participate in continuing professional development g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, training activities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajajs values through own actions and behaviour. To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure Quality (NBA, ISO, NAAC) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities To ensure and promote the personal health, safety and wellbeing of staff and To carry out duties in a way which promotes fairness in all matters, and which engenders APTITUDE & SKILLs D.1 Ability to Manage and Nurture: Innovative Learning and Teaching Academic Development Academic domain knowledge National (UGC/NBA/NAAC etc.)/International Sustainable Research & Departmental Resources Foster Departmental Performance Facilitate in developing Strategic Plans Ability to lead the development and implementation of research strategy and/or Ability to lead on the design and development of the curriculum. Highly developed communication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adopt new procedures as and when required D.2 Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment. Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback, while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia Qualification & Years of Experience as per AICTE/UGC norms: E./B.Tech/B.S. & M.E./M.Tech/M.S. & PhD IT/CSE subjects from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc etc. and throughout first class. PhD Degree in subject from the Top Tier Institutes & reputed university 10+ years of experience in teaching/ research out of which 3 years at Associate Professor At least 6 research publications at the level of Associate Professor in SCI journals / UGC / AICTE approved list of journals and guided 2 PhD students as Supervisor / Co-supervisor is highly desirable. OR At least 10 research publications at the level of Associate Professor in SCI journals / UGC / AICTE approved list of journals Industry & Global Experience is desirable. Salary as per norms Location: Greater Noida, Delhi/NCR

Responsibilities: Conduct research on AI applications in industry settings Collaborate with industry partners on AI projects Teach AI courses using CS Core, IMS, AIML & AI techniques

Dover is a diversified global manufacturer with annual revenue of over $7 billion. We deliver innovative equipment and components, specialty systems, consumable supplies, software and digital solutions, and support services through five operating segments: Engineered Products, Fueling Solutions, Imaging & Identification, Pumps & Process Solutions, and Refrigeration & Food Equipment. Dover combines global scale with operational agility to lead the markets we serve. Recognized for our entrepreneurial approach for over 60 years, our team of approximately 24,000 employees takes an ownership mindset, collaborating with customers to redefine what's possible. Headquartered in Downers Grove, Illinois, Dover trades on the New York Stock Exchange under "DOV." Additional information is available at dovercorporation.com. Position: Engineering Manager Experience: 12-15 years What you need to do: Work with product managers and technical teams in a cross-functional environment to implement high-quality products that meet business goals. Act as a technical liaison between customers, engineering teams, and support. Resolve and/or escalate issues in a timely fashion. Conduct design reviews with architects and PM to ensure new products meet specifications. Work closely with the project manager to drive successful project completion and meet schedule. Interface with Controls OEMs on all related aspects (Platforms, ETOs, OEM controller roadmaps, etc.). Work with FSEs to identify defects attributable to the electrical and controls domain and create solutions. Identify IoT opportunities and drive POC leveraging DFR and DIIC labs. Coordinate with the US & DIIC Digital team on Guided Startup efforts. Drive DIIC Controls lab infra development requirements and execute plans. Develop team capabilities on Refrigeration Systems with a focus on Natural Refrigerants. Lead SolidWorks Electrical transition plan across DFR. Monitor, Control, and Report Electrical Engineering efforts for Quality-related Problems. What you need to have: - Good experience in control software development process. - Knowledge of Electrical Engineering. - Sound knowledge of Standard Control Systems. Algorithms like PID Algorithm, etc. - Experience in PID tuning process, Closed-loop system controls, Precision Motor Controls, etc. - Understand Design methodologies and capable of Integrating Sensors, Controls, etc. with PLCs, Controllers, Microcontrollers, etc. - Exposure to communication protocols Modbus, CAN, BACnet TCP/IP, etc. - Lead Key projects by exceptional technical skills with Controls software development PLC, SCADA, HMI systems with IOT, and Edge devices experience. Exposure to Firmware development, Instrumentation, and controls. Exposure to programming languages like C, C+, Python, etc. Understand problem-solving methods like DFMEA, RCCA/RPS, etc. Exposure to AI&ML and DATA analytics nice to have. You'll only be the right candidate if you are aligned with our values and culture: - Collaborative entrepreneurial spirit. - Winning through customers. - High ethical standards, openness, and trust. - Expectations for results. - Respect and value people. If you believe you match our values and have the experience we're looking for, then apply! We can't wait to hear from you. Work Arrangement: Hybrid This position may be located in: APAC: India: Karnataka: Bengaluru Sub Division: Engineering Job Requisition ID: 56149 Job Function: Engineering,

As an Intern at Vumonic, your day-to-day responsibilities will involve extracting and parsing email receipts in HTML and PDF formats to identify key data points. You will be developing scripts to convert unstructured data into structured formats such as JSON and CSV. Additionally, you will be implementing regex, NLP, and AI techniques to enhance data extraction accuracy. Collaboration with the data team will be essential as you work together to refine parsing logic and automate processes. You will also be required to write SQL queries for storing, retrieving, and manipulating structured data. When necessary, you will utilize R for data cleaning, analysis, and visualization. An integral part of your role will be to explore and integrate AI/ML-based approaches to improve data extraction and validation. It is crucial to remain updated with the latest advancements in AI, NLP, and data parsing technologies. Testing, validating, and optimizing data pipelines for scalability will also be within your scope of work. Vumonic is a provider of global data and market intelligence services, enabling companies to make data-driven decisions in various domains like strategy, marketing, sales, investments, and more to achieve a higher ROI. As a rapidly growing startup specializing in data analytics, Vumonic offers a flat hierarchy, providing you with a dynamic and engaging work environment.,

The AIML Architect-Dataflow, BigQuery plays a crucial role within the organization by focusing on designing, implementing, and optimizing data architectures in Google Cloud's BigQuery environment. Your primary responsibility will involve combining advanced data analytics with artificial intelligence and machine learning techniques to create efficient data models that improve decision-making processes across various departments. Building data pipeline solutions that utilize BigQuery and Dataflow functionalities to ensure high performance, scalability, and resilience in data workflows will be key. Collaboration with data engineers, data scientists, and application developers is essential to align technical vision with business goals. Your expertise in cloud-native architectures will be instrumental in driving innovation, efficiency, and insights from vast datasets. The ideal candidate will have a strong background in data processing and AI/ML methodologies and be adept at translating complex technical requirements into scalable solutions that meet the organization's evolving needs. Responsibilities: - Design and architect data processing solutions using Google Cloud BigQuery and Dataflow. - Develop data pipeline frameworks supporting batch and real-time analytics. - Implement machine learning algorithms to extract insights from large datasets. - Optimize data storage and retrieval processes to enhance performance. - Collaborate with data scientists to build scalable models. - Ensure data quality and integrity throughout the data lifecycle. - Align data workflows with business objectives through collaboration with cross-functional teams. - Conduct technical evaluations of new tools and technologies. - Manage large-scale data migrations to cloud environments. - Document architecture designs and maintain technical specifications. - Provide mentorship to junior data engineers and analysts. - Stay updated with industry trends in cloud computing and data engineering. - Design and implement security best practices for data access and storage. - Monitor and troubleshoot data pipeline performance issues. - Conduct training sessions on BigQuery best practices for team members. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - 5+ years of experience in data architecture and engineering. - Proficiency in Google Cloud Platform, specifically BigQuery and Dataflow. - Strong understanding of data modeling and ETL processes. - Experience implementing machine learning solutions in cloud environments. - Proficient in programming languages like Python, Java, or Scala. - Expertise in SQL and query optimization techniques. - Familiarity with big data workloads and distributed computing. - Knowledge of modern data processing frameworks and tools. - Strong analytical and problem-solving skills. - Excellent communication and team collaboration abilities. - Track record of managing comprehensive projects from inception to completion. - Ability to work in a fast-paced, agile environment. - Understanding of data governance, compliance, and security. - Experience with data visualization tools is a plus. - Certifications in Google Cloud or relevant technologies are advantageous.,

If you are passionate about making international mobility and living seamless and accessible, then join us in building the future of student housing at Amber. As a Tech Lead at Amber, you will play a crucial role in leading and mentoring a team of talented engineers. Your responsibilities include owning the overall architecture and design of our systems, ensuring scalability, performance, maintainability, and security. You will work hands-on with Ruby, Python, SQL, NoSQL, and event-based systems to build highly scalable complex distributed systems. Additionally, you will mentor and guide engineers on technical best practices and foster a culture of innovation and continuous learning within the team. Collaboration with Product Managers is essential to understand business requirements and translate them into technical specifications. You will also evaluate the technical feasibility and impact of product features and contribute to the definition and refinement of product roadmaps. In terms of team management, you will lead and motivate a high-performing team of engineers, conduct performance reviews, provide constructive feedback, and guide their career growth. Developing a proactive and ownership culture, as well as fostering a positive and inclusive team environment, are key aspects of this role. System operations will also be under your purview, including monitoring system performance, identifying and resolving issues proactively, implementing and maintaining robust monitoring and alerting systems, and automating to improve efficiency and reliability. Moreover, you will explore and evaluate emerging technologies and drive the adoption of AI/ML solutions to enhance product features and improve business outcomes. To be successful in this role, you need a Bachelor's degree in Computer Science or a related field, at least 5 years of professional experience in software engineering with a strong focus on backend development, and at least 1 year of experience leading and mentoring engineering teams. Proficiency in at least one backend programming language, preferably Ruby or Python, along with experience in cloud platforms and containerization technologies, is required. Understanding DevOps principles and having experience with CI/CD pipelines and automation tools are also necessary skills. Good communication, collaboration, and problem-solving skills, a mindset of continuous improvement, and proactive hiring to achieve business goals are qualities that will contribute to your success at Amber. Join us at Amber for a fast-paced growth opportunity where you can skip intermediate levels, enjoy total freedom and authority, work in an open and inclusive environment, and receive great compensation and ESOPS.,

As an AI/ML Developer at our innovative organization, you will have the exciting opportunity to work on AI initiatives and contribute to the development of innovative solutions. Your key responsibilities will include developing and maintaining applications for AI and LLM projects, conducting data analysis to identify trends and insights for model improvement, designing, developing, and deploying machine learning models for various applications, optimizing algorithms for performance and scalability, and staying up-to-date with the latest advancements in AI. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science or a related field from a recognized university, with internship experience in AI or related fields being preferred. You should also have demonstrable experience in AI/ML programming and development, proficiency in working with OpenAI technologies and Vector Databases, experience with Large Language Models (LLMs), strong knowledge of LangChain, LLamaIndex, or any other framework, experience with API development and relational databases, excellent problem-solving skills, attention to detail, and the ability to work independently and in a team environment. Join us on this exciting journey to advance AI technology and utilize your skills in machine learning model development, LLM Index, vector databases, algorithm optimization, data analysis, OpenAI technologies, artificial intelligence, API development, large language models (LLMs), AI/ML programming, and relational databases to make a significant impact in the field of AI.,