333 Ai Solutions Jobs - Page 3

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role. Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices. Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query). Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink). Soft Skills: Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Database - Database Programming - SQL Artifical Intelligence - AI Tools - TensorFlow Cloud - AWS - ECS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. --- Required Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges.

About the Role We are seeking a highly motivated and smart AI Intern to join our innovation-driven team. This role is ideal for someone passionate about Artificial Intelligence , with a strong academic background and a keen interest in building automation platforms using Generative AI and Agentic AI . You will work closely with our engineering and product teams to prototype and build intelligent automation systems that leverage the latest advancements in AI. Key Responsibilities Research, experiment, and implement concepts in Generative AI and/or Agentic AI Support development of automation tools and AI-driven workflows Contribute to prototype development and POCs for AI platforms Analyze large datasets and fine-tune models for performance Collaborate with cross-functional teams to align AI capabilities with business needs Document work, models, and findings in a clear and structured way Requirements CGPA 8.0 or above in Computer Science, Data Science, AI/ML, or related fields Excellent communication skills English must be above average (spoken and written) Strong understanding of Artificial Intelligence concepts Exposure to Generative AI or Agentic AI Knowledge of programming in Python and libraries such as TensorFlow, PyTorch, Transformers, LangChain, OpenAI APIs is a plus

Role Description This is a full-time on-site role for a Computer Vision Engineer/ML Engineer As a team member, you will develop and implement computer vision and machine learning solutions. Your day-to-day tasks will include designing and training models, conducting experiments, analyzing data, and optimizing algorithms. You will collaborate with cross-functional teams to deliver high-quality solutions that meet our clients' business needs. Experience and Responsibilities 1. Expertise with hardware components commonly used in machine vision systems, including cameras, lenses, lighting, and frame grabbers. 2. Deep understanding of computer vision principles, best practices, image processing techniques, and machine learning algorithms. 3. Experience in developing and implementing machine vision systems, preferably in the Railroad, Airport, Heavy engineering, and Utilities business domains. 4. Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). 5. Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical solutions. 6. Excellent communication and teamwork abilities, with the capacity to collaborate effectively across multidisciplinary teams. 7. Experience deploying AI and deep learning algorithms to production is a plus. 8. Experience with regulatory requirements and standards for medical devices is a plus. 9. Attention to detail and a commitment to producing high-quality work. 10. Ability to work in a dynamic environment and find creative solutions for technology development roadblocks. 11. Ability to work both individually and collaboratively in teams to achieve project goals. 12. Strong communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences. 13. Good problem-solving and analytical skills 14. Excellent communication and teamwork abilities

Implement cyber security measures to secure systems and data. Build AI/ML models for threat detection and response. Monitor and analyze security alerts and vulnerabilities. Automate security operations using AI tools.

Responsibilities: * Ensure brand consistency across all videos * Collaborate with marketing team on concept development * Edit videos using Premiere Pro, AfterEffects & AI solutions * Deliver final cut within deadlines Provident fund

We are seeking a highly skilled and hands-on AI Architect to lead the development and deployment of AI-driven solutions. This role is pivotal in building internal AI capabilities, creating scalable solutions for operational efficiency, and driving innovation in client-facing offerings. The ideal candidate will have deep technical expertise, a passion for AI, and the ability to translate business needs into impactful AI solutions. Key Responsibilities: AI Strategy & Architecture: Define and drive the AI architecture roadmap aligned with business goals. Evaluate and select appropriate AI/ML technologies, frameworks, and platforms. Solution Development: Design and develop AI solutions for internal use within Managed Services (e.g., automation, predictive analytics, intelligent monitoring). Build reusable components and frameworks to accelerate AI adoption across the organization. Client-Facing Innovation: Collaborate with sales and marketing teams to create AI offerings for external clients. Participate in client engagements to understand needs and propose AI-driven solutions. Drive customer conversations to envision the art of the possible with AI for customers as relevant to the customers industry Technical Leadership: Mentor and upskill teams across the services organization in AI/ML technologies. Establish best practices for model development, deployment, and monitoring. Collaboration & Delivery: Work closely with cross-functional teams including data engineering, DevOps, and domain experts. Ensure timely delivery of AI projects with high quality and business impact. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 8+ years of experience in software development, with at least 4 years in AI/ML solution architecture. Proven hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps practices. Experience in deploying AI solutions in production environments. Excellent communication and stakeholder management skills. Willingness to travel internationally (US and Canada) for client and internal engagements. Preferred Qualifications: Exposure to GenAI technologies and LLMs. Familiarity with regulatory and ethical considerations in AI deployments. What We Offer: Opportunity to shape the AI vision of a growing services organization. Work on cutting-edge AI projects with global impact. Collaborative and innovation-driven work culture

•Deliver engaging and well-structured classroom and online training sessions to students. •Teach core modules such as SEO, SEM, Social Media Marketing, Email Marketing, Google Ads, Facebook Ads, Analytics, and Content Marketing & all other modules. Required Candidate profile Specific Technical Expertise

As a Sales Representative for Supernova, you will be responsible for making calls to identify potential clients interested in our AI tutoring services. Your primary goal will be to build strong relationships with clients by understanding their needs and effectively explaining our AI solutions over the phone. Utilizing the guidelines provided, you will communicate the benefits of our product during calls and work towards meeting daily and monthly sales targets through consistent outreach efforts. Additionally, you will collaborate with colleagues to share insights and strategies aimed at improving overall sales performance. Supernova is a leading provider of an AI-powered spoken English program designed to revolutionize how individuals learn and enhance their spoken English skills. Our innovative solution combines cutting-edge AI technology with expert language instruction to offer personalized, interactive lessons and real-time feedback. Our program focuses on improving pronunciation, fluency, vocabulary, and overall communication skills, catering to learners of all levels. By empowering individuals for success in academics, careers, and social interactions in today's globalized world, Supernova is at the forefront of transforming language learning experiences.,

As a Sales Representative at Supernova, you will be responsible for making calls to potential clients to introduce and promote our AI tutoring services. You will play a key role in building relationships with clients by understanding their needs and effectively explaining how our AI solutions can benefit them. Utilizing the provided guidelines, you will communicate the unique advantages of our products during phone calls. Your primary goal will be to achieve daily and monthly sales targets through consistent outreach efforts. Additionally, you will collaborate with your colleagues, sharing insights and strategies to enhance overall sales performance. Supernova is a leading provider of an AI-powered spoken English program that aims to transform how individuals learn and enhance their spoken English skills. Our innovative solution combines cutting-edge AI technology with expert language instruction to offer personalized, interactive lessons and real-time feedback. By focusing on pronunciation, fluency, vocabulary, and overall communication skills, our user-friendly program caters to individuals at all levels, empowering them for success in academics, careers, and social interactions in today's globalized world.,

As a UIPath Professional at YASH Technologies, you will be responsible for designing and developing applications using LangChain to integrate Large Language Models (LLMs) for various use cases such as chatbots, summarization, and content generation. You will build scalable back-end systems using Python and integrate LLMs with external APIs, databases, and vector stores. Implementing Retrieval-Augmented Generation (RAG) pipelines for context-aware responses and developing prompt templates and memory modules to optimize LLM interactions will be key aspects of your role. Collaboration with cross-functional teams to deliver end-to-end AI solutions and ensuring the performance, scalability, and reliability of deployed applications will be vital in this position. At YASH, you will have the opportunity to create a career path in an inclusive team environment. We focus on continuous learning, unlearning, and relearning at a rapid pace and scale through career-oriented skilling models and technology. Our work environment is centered around principles such as flexible work arrangements, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, support for business goals realization, stable employment, great atmosphere, and ethical corporate culture. If you are passionate about leveraging cutting-edge technologies to drive real positive changes in an increasingly virtual world, we invite you to join our team of bright stars at YASH Technologies.,

Job Summary: We are looking for an innovative and technically proficient AI Solution Designer to conceptualize, architect, and validate AI-based solutions, with a strong emphasis on Proof of Concept (PoC) development. The ideal candidate will translate business needs into AI-powered solutions, design architecture, guide development teams, and demonstrate feasibility through rapid prototyping and PoCs. Key Responsibilities: 1. Solution Design & Architecture Translate business problems into AI/ML-driven solution designs. Define scalable AI/ML solution architectures using appropriate models, frameworks, APIs, and data pipelines. Collaborate with data engineers, ML engineers, and business stakeholders to ensure alignment. 2. Proof of Concept Development Design and develop PoCs to validate feasibility, performance, and business value of proposed AI solutions. Rapidly prototype AI features using tools such as Python, TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc. Document PoC findings, results, and recommendations for full-scale implementation. 3. Technical Analysis & Documentation Conduct deep technical evaluations of AI/ML models, including accuracy, performance, and risk. Create detailed technical documentation including solution architecture diagrams, data flow diagrams, and API specs. Present PoC results and technical recommendations to stakeholders and executive teams. 4. Stakeholder Engagement Engage with cross-functional teams (Product, IT, Business, and Data teams) to understand needs and gather requirements. Act as a bridge between data science, engineering, and business teams to ensure successful delivery of AI initiatives. 5. Innovation & Best Practices Stay updated with the latest trends in AI, including LLMs, Generative AI, and AutoML. Recommend tools, frameworks, and platforms that can accelerate PoC and solution delivery. Promote reusability and modular architecture principles for AI solution components. Design, develop, and deploy conversational AI solutions using various tools such as Wren AI, Voice Flow, and ML algorithms. Collaborate with cross-functional teams to integrate AI models into existing systems and applications. Develop generative AI models for text generation, image processing, and other forms of data manipulation. Troubleshoot issues related to AI model performance and optimize system architecture for improved efficiency. Required Skills & Experience: Proven experience in designing AI/ML solutions and delivering PoCs in a business context. Strong programming experience with Python; exposure to ML libraries like Scikit-learn, TensorFlow, PyTorch. Experience with cloud platforms (AWS, Azure, GCP) and AI services (SageMaker, Azure ML, Vertex AI). Hands-on with APIs and frameworks like OpenAI, LangChain, FastAPI, Flask. Familiarity with MLOps tools (MLflow, DVC, Kubeflow) is a plus. Strong problem-solving, analytical, and architectural thinking abilities. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Certifications in AI/ML technologies or cloud platforms. Experience with enterprise AI systems or AI product development lifecycle. 3-6 years of experience in Conversational AI development or a related field. Strong understanding of AIMl, Python programming language, TensorFlow/PyTorch machine learning frameworks. Experience with natural language processing (NLP) techniques including large language models like BERT.

YASH Technologies is a leading technology integrator that specializes in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you will be part of a team of bright individuals working with cutting-edge technologies. The core purpose at YASH is to bring real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are currently seeking UIPath Professionals for the following areas: Key Responsibilities: - Design and develop applications using LangChain to integrate Large Language Models (LLMs) for use cases such as chatbots, summarization, and content generation. - Build scalable back-end systems using Python, integrating LLMs with external APIs, databases, and vector stores. - Implement Retrieval-Augmented Generation (RAG) pipelines for context-aware responses. - Develop prompt templates and memory modules to optimize LLM interactions. - Collaborate with cross-functional teams to deliver end-to-end AI solutions. - Ensure performance, scalability, and reliability of deployed applications. Required Skills: At YASH, you have the opportunity to create a career path that aligns with your goals while working in an inclusive team environment. We emphasize career-oriented skilling models and leverage technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is built on four principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All support needed for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

Hands on experience (current or earlier) in ML projects (Predictive modelling) - 5 +yrs. Trained on AIML from IIIT Hyderabad in 2018 and then started working on internal AIML project for Content Management Vertical. Implemented and deployed machine learning models for Euroclear and Selective insurance. Working on AIML projects for more than 5 years. Passionate about staying at the forefront of AI advancements and contributing to a culture of innovation and excellence. Experience in managing projects and team end to end 15 yrs. Joined Capgemini in 2008 as Lead consultant and worked as Project Manager / Technical Lead / SME / Architect and responsible for end to end project delivery till April 2025. leading AI initiatives, managing projects, and providing technical expertise to drive automation and efficiency improvements. Proven ability to analyse complex challenges, design robust models, and deliver scalable solutions aligned with organizational goals. Experience in handling business stakeholders - handled business stakeholders, IT leadership team from client and internal team. Collaborated with project managers, developers, quality assurance, and client stakeholders to resolve technical issues effectively.

To drive the practical delivery of AI solutions for a business stream in India. You will be responsible for the end-to-end lifecycle of AI initiatives, from identifying business needs (external and internal customers) to managing the execution and implementation of Use Cases utilizing both internal expertise and external technology partners. Key Responsibilities: AI Ecosystem: Deep understanding of the AI environment for India and in future for other region. Identify customers and technology providers who can collaborate and learn with to achieve successful AI implementations Project & Partner Management: Act as the primary business lead for AI projects, managing relationships, timelines, and deliverables with external partners including technology providers. Use Case Delivery: Oversee the implementation of prioritized AI use cases, initial definition, proof-of-concept, live beta testing and full deployment. Requirements Definition: Work with TV Rheinland managers, sales teams, and customers to translate business challenges into clear project scopes and technical requirements for delivery teams and external vendors. Commercial & Technical Liaison: Develop clear business cases for investment and ensure all solutions, particularly those involving external data use, comply with commercial agreements, data protection standards, and TR T&Cs Implementation & Integration: Facilitate the successful integration of partner solutions into existing TV Rheinland workflows, ensuring they meet our exacting standards for quality and security Value Realization: Track the performance of deployed AI solutions to ensure they deliver tangible benefits, such as significant time savings and quality improvements Ideal Candidate Profile: Proven experience in a product, project, or program management role with a focus on technology implementation. Demonstrable experience in connecting and managing external vendors, technology partners, or consultancies from procurement and scoping through to final delivery. Hands-on experience taking complex projects from the initial idea/pilot stage to a successful production launch. A strong understanding of AI and machine learning concepts, paired with the ability to communicate their business value clearly and succinctly to non-technical stakeholders. Strong network in AI and machine learning ecosystem in India Experience and knowledge of Change management (Technology, People, Processes) Excellent commercial acumen and stakeholder management skills, with the ability to build consensus across business, sales, IT, and legal teams. Familiarity with the challenges and opportunities within the TIC industry or similar industrial sectors.

Department: Founders Office Location: Gurgaon (Work from Office) Internship Duration: 2 Months About the Role: As an AI Intern, you will work closely with the core team to solve business problems using data-driven and algorithmic approaches. You'll contribute to high-impact projects across product development, consumer analytics, automation, and internal process optimization. Key Responsibilities: Assist in identifying and solving real-world problems using AI/ML tools and techniques Analyse data to generate actionable business insights Support development of internal dashboards, models, or automation tools Collaborate with cross-functional teams (product, marketing, operations) Present findings in a clear and structured manner Requirements: Strong interest or basic academic background in Artificial Intelligence, Machine Learning, or Data Science Familiarity with Python, data handling libraries (Pandas, NumPy), and visualization tools (e.g., Power BI, Tableau, Matplotlib) Ability to think analytically and approach problems creatively Self-starter with strong communication and collaboration skills Currently pursuing or recently completed a degree in Engineering, Statistics, Data Science, Computer Science, or related fields What Youll Gain: Exposure to real business problems and AI applications in the personal care industry Mentorship from experienced professionals in a high-growth environment Opportunity to work closely with the leadership and Founders Office

Job Title: DevOps Engineer (AI/ML Focus) AWS, Onsite Role Location: Vashi Navi Mumbai. Experience: 5-7 years Salary: 7-10 lacs Job Summary: We are looking for a skilled DevOps Engineer to join our team and manage AWS-based infrastructure, CI/CD pipelines, containerized deployments, and AI/ML workload optimizations . The candidate should have experience with GitLab, Kong, Keycloak, Docker, Kubernetes, AWS services, and SaaS platform deployments. This is an onsite role requiring hands-on expertise in cloud-native technologies and infrastructure automation. Key Responsibilities: 1. CI/CD & Version Control: Manage GitLab (A-Z) including CI/CD pipelines and repository administration. Automate and optimize software delivery processes for AI/ML applications. Implement security and compliance in CI/CD pipelines. 2. Containerization & Orchestration: Deploy and manage Docker private container registries . Maintain and scale Docker Swarm and Kubernetes-based deployments. Work with Helm Charts for application deployment. 3. API Gateway & Identity Management: Administer and optimize Kong OSS API Gateway for microservices. Implement and maintain Keycloak for authentication and identity management . Ensure secure integration of Keycloak with GitLab . 4. Cloud Infrastructure & Automation: Deploy, monitor, and maintain AWS resources (EC2, S3, VPC, IAM, EBS, Route 53, CloudWatch, ELB, EKS, AMI migration, and Volume Resizing) . Automate AWS S3 bucket migrations using scripts. Implement infrastructure as code (IaC) using Terraform or equivalent. 5. SaaS & Self-Hosted Platform Management: Deploy and maintain Lago (Self-Hosting), Strapi (Client Production), Serverpod (Trello Clone), and Bricklane . Handle SaaS dashboard operations, configuration, and scaling. 6. Security & Compliance: Implement SSO authentication and user management across services. Manage unused SSO v21 Coopersoft images and ensure security best practices. Conduct security audits, monitoring, and performance tuning . 7. Documentation & Knowledge Management: Maintain up-to-date documentation for DevOps processes and deployment workflows . Ensure seamless handover and knowledge transfer through detailed technical guides. Required Skills & Qualifications: 5+ years of DevOps, cloud infrastructure, and CI/CD experience. Strong expertise in AWS: EC2, S3, IAM, VPC, EBS, EKS, CloudWatch, Route53. Proficiency in GitLab, Docker, Kubernetes, Terraform, Helm, and Kong API Gateway. Experience with Keycloak, authentication mechanisms, and API security . Hands-on experience in managing AI/ML workloads on AWS (GPU optimization preferred). Knowledge of monitoring and security tools like Prometheus, Grafana, and Trivy. Good scripting skills (Bash, Python) for automation. Strong analytical, troubleshooting, and communication skills. Preferred Qualifications: AWS Certifications (Solutions Architect, DevOps Engineer) Experience with Flagsmith, Postiz, Supabase hosting (even if not in use currently). Exposure to Serverpod, SaaS platform management, and ML pipelines . HR TEAM

Avalara's Agile PMO team is looking for an experienced Sr. Agile Coach to join our Engineering Teams As an Agile Coach, you will support the Technology group to ensure program teams follow the Agile Process and bring organizational structure, Agile disciplines, and daily operational management to the teams. You will also be partnered with multiple Agile teams on ensuring a smooth delivery of their release efforts. You will promote Agile best practices by educating colleagues, coaching teams, collaborating with leaders on the Agile adoption strategy and working with the Transformation Lead to implement the Agile methodology across the organization. You will be reporting to Sr Director, Technical Program Manager. What Your Responsibilities Will Be Responsibilities Work with leaders in Prod Security, Architecture and Reliability Engineering to improve the flow of their goals to rest of Engineering Dev teams. Understand and implement Avalara SDLC in Technical Program Teams Understand Team goals and partner with TPMs in Lean Portfolio Management Road mapping, within Teams and across multiple dependent teams As a hands-on Agile Coach for 10+ teams in the Program, improve proper framework adoption and build great product by following the Agile Process Coach Scrum Leads to help build both next-generation products and maintain the current product line Ensure partner management Partner with TPM to facilitate Dependency Management across multiple Teams Partner with Engineering and Product Leaders to remove roadblocks and agree on their expectations in achieving desired outcomes, results, and deliverables. Identify opportunities where AI can reduce waste, simplify workflows, and optimize team performance according to Agile principles Familiarity with integrating AI within Jira, Confluence, or other Agile tools What You'll Need to be Successful Experience: 8+ years of Agile experiences in Scrum and Kanban with technical projects 5+ years in mid to large enterprise software project management 2+ years of implementing or working in SAFe framework and Experience in Agile transformation Technical Understanding of SaaS Product development Excellent relationship management Demonstrated experience using AI tools (e.g., ChatGPT, GitHub Copilot, Miro AI) to enhance team agility, improve SDLC practices, and improve. Can coach teams and leaders on responsible, AI adoption in Agile ways of working (e.g., for retrospectives, backlog grooming, documentation, or decision-making support) Education: Bachelor's degree in Computer Science or Engineering SAFe Certification Must have: Understand spirit of Agile, Portfolio Management and DevOps practices Understand finer nuances of Scrum & Kanban. Understand large-scale project management. Understand release planning, coordination, and management Have worked with a multi-team data dependency lifecycle environment Proficient in Jira, Confluence, and advanced filters Drove large-scale Agile framework adoption in medium-large program This is a remote position.

We are looking for talents for our Product R&D team to work on ever evolving Banking Platform. Data is one of the most valuable assets a business can have and potentially has a tremendous impact on its long-term success. Here is the opportunity for you to be the bridge between business and data. As a Data Scientist you can dive deep into gigantic data from multiple sources and build smart data driven solutions that change the face of your organization and define the industry. Skills To Highlight : AI/ML, Data Science, Python Work Location: Bangalore, Chennai, Hyderabad, Pune Experience Range: 2 - 16 years Requirements- Excellent analytical and problem-solving skills Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks Should be able to host the models and make them api convertible. Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis Responsibilities- Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment. Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Bring about Explainable and Responsible AI. Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work. Move fast, Break things, Learn, Make History, Stay Curious.

Lead design, development and implementation of Java and Spring Boot-based solutions. Strong background in software development, system architecture and cross functional collaboration.

Responsibilities: Design, develop, test & maintain AI software solutions using AI algorithms on AI platforms with AI techniques. Collaborate with cross-functional teams to integrate AI into existing systems.

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

Were seeking a seasoned Technical Lead with a strong grounding in AI to drive our next-generation software initiatives. You’ll partner with cross-functional teams to architect, develop, and deliver scalable solutions, while mentoring developers and overseeing quality across the full SDLC. Key Responsibilities Solution Architecture & Design: Lead end-to-end technical design for AI-driven features, ensuring alignment with business goals and scalability requirements. Hands-on Development: Contribute to and guide development in .NET (Core and Framework) and React.js for front-end interfaces. Code Quality & Reviews: Establish and enforce coding standards; conduct systematic code reviews to maintain high quality and best practices. CI/CD Pipeline Ownership: Design, implement, and optimize automated build, test, and deployment pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions). AI Integration: Evaluate and integrate AI/ML components—models, APIs, and services—into existing and new applications. QA Team Management: Oversee QA planning and execution; define test strategies, delegate tasks, and ensure defect resolution and release readiness. Technical Leadership & Mentorship: Coach and mentor developers; foster a culture of continuous learning and innovation. Stakeholder Collaboration: Work closely with Product, UX, and Operations teams to translate requirements into robust technical solutions. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 6+ years of software development experience, with at least 3 years in a technical lead capacity. Proven expertise in .NET (C#, ASP.NET Core) and React.js . Strong understanding of AI/ML concepts and hands-on experience consuming AI services (e.g., Azure Cognitive Services, TensorFlow, PyTorch integrations). Deep familiarity with CI/CD tools and practices—automated builds, deployments, and infrastructure as code. Demonstrated ability to conduct code reviews and enforce best practices (SOLID principles, design patterns). Experience managing and scaling a QA team , defining test frameworks, and driving quality metrics. Excellent problem-solving skills and ability to craft end-to-end technical solutions . Strong communication skills, with experience liaising between technical teams and business stakeholders. Work from office full-time. Desirable Skills Hands-on with Docker, Kubernetes, or other container orchestration platforms. Familiarity with cloud platforms (Azure, AWS, or GCP) and serverless architectures. Experience in Agile/Scrum methodologies and tools (JIRA, Confluence). Prior exposure to data engineering or DevOps practices. ole & responsibilities Preferred candidate profile

Profile- Vice President of Technology / Head of Technology / IT Delivery Head Location: Sector 63, Noida, Onsite About the Role:- Were launching a cutting-edge digital transformation consulting firm offering services i n AI, Cloud, CRM, QA/QE, Blockchain, and Custom Software . We are hiring a founding VP of Technology strategic and hands-on leader to define our tech roadmap, build and scale delivery teams, and drive client-facing engagements. This is a player-coach role requiring deep technical expertise, consulting experience, and leadership in solutioning and execution. Ideal candidates will have experience working with U.S. and European clients, especially in IT consulting. Key Responsibilities:- Define the companys technical vision, architecture, and service capabilities Build and lead a cross-functional engineering, QA, and data team Lead and deliver cloud, AI, CRM, QA, and blockchain-based solutions Collaborate with sales to develop technical proposals, SOWs, and client documentation Participate in pre-sales calls, demos, and technical presentations Oversee delivery execution using Agile practices and DevOps tools Ensure compliance with security, privacy, and industry regulations What Were Looking For:- Education &Certifications Bachelors in Computer Science, Engineering, or related field (Masters preferred) Certifications (AWS, Azure, Salesforce, PMP, etc.) are a plus Experience 10 -15+ years in technology leadership; 5+ years in client-facing IT consulting Experience with technical proposal writing, SOW creation, and client-facing documentation Hands-on background in software architecture, engineering, and solutioning Strong record of building technical teams and delivering client projects Familiarity with both U.S. and European market expectations and delivery models Technical Skills Cloud & DevOps: AWS, Azure, CI/CD pipelines, cloud strategy AI & Data: Machine learning, RPA, data lakes, data engineering, BI Software Dev: Java, Python, SQL, mobile/web apps, enterprise platforms CRM: Salesforce implementation, integration, and data migration QA/QE: Test automation frameworks, performance testing, strategy Blockchain: Consulting or integration experience a plus Agile project management, API architecture, cybersecurity awareness Soft Skills Strong communication and leadership presence Skilled in translating business needs into technical roadmaps Confident in solution-selling and stakeholder engagement Entrepreneurial mindset; thrives in fast-paced environments To apply, please send your updated resume to rajni@apetan.com or reach out at 8595023843 for further details.