165 Ai Algorithms Jobs

Develop and optimize AI models for insurance use cases, apply data science for predictive insights, innovate with latest AI, integrate with engineering teams, and ensure scalable, cost-efficient, reliable deployment and maintenance. Required Candidate profile Hands-on with GenAI, LLMs, prompt engineering, and fine-tuning; skilled in Python, TensorFlow, PyTorch; strong in data science, predictive analytics, and MLOps for scalable AI deployment.

Job Title: Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) Experience: 2+ Years Location: Bangalore About the Role: We are looking for a passionate and highly skilled AI/ML Developer / Data Scientist with proven experience in designing, building, and deploying intelligent systems using cutting-edge AI technologies. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Machine Learning, Deep Learning, Prompt Engineering, Vector Databases, and Agent Frameworks. This role spans the entire AI/ML lifecycle from ideation and architecture to deployment and optimization with a strong emphasis on RAG pipelines, NLP, chatbot frameworks, and proof-of-concept (POC) development. Youll be working at the forefront of Generative AI, LLMs, Computer Vision, and Vector Database-powered RAG systems to create next-generation intelligent applications. Key Responsibilities Design, develop, fine-tune, and deploy end-to-end AI/ML solutions. Work with both closed-source LLMs (OpenAI GPT, Claude, Gemini) and open-source models (BERT, LLaMA, Mistral, Gemma). Architect and implement RAG pipelines using LangChain, LangGraph, CrewAI, and LlamaIndex. Build and integrate AI agents, Agentic AI workflows, and chatbots for real-world applications. Utilize Vector Databases (FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB) for semantic search and retrieval. Apply prompt engineering and few-shot learning to optimize model outputs. Develop computer vision solutions using YOLO and OpenCV for object detection, tracking, and video/image analytics. Create scalable APIs and backends with FastAPI or Flask. Perform EDA, data visualization, and ensure model explainability. Deploy and manage AI/ML models on AWS, Azure, or GCP. Rapidly deliver POCs and collaborate with cross-functional teams to validate solutions. Maintain version-controlled, reproducible ML pipelines. Must-Have Skills Programming & Frameworks: Python, FastAPI GenAI & LLMs: GPT, Claude, Gemini, BERT, LLaMA, Mistral, Gemma, HuggingFace Transformers Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex Vector Databases: FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB Computer Vision: OpenCV, YOLO object detection NLP & RAG: Text classification, summarization, NER, prompt design, RAG pipelines Model Lifecycle: Design, training, quantization, fine-tuning, deployment Cloud: AWS, Azure, GCP Databases: SQLite, PostgreSQL, MySQL, MongoDB (optional) Visualization Tools: Matplotlib, Seaborn, Plotly, Streamlit OS & Tools: Linux (CLI, scripting), Docker (optional), HuggingFace, chatbot platforms Nice-to-Have Contributions to open-source or GitHub projects Experience with multi-modal LLMs Strong background in statistics or academic research Familiarity with startup-style POC pipelines and rapid experimentation Educational Qualification: B.Tech, M.Tech, MCA, BCA, or Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or a related field.

We are seeking a talented AI/ML Engineer with at least 5 years of experience to join our team. The ideal candidate will have a proven track record of building and deploying technology solutions to enhance workplace efficiency and productivity. You will collaborate with cross-functional teams to identify, develop, and implement AI/ML solutions that transform our operations and workplace technology. Key Responsibilities: • Design and build scalable AI/ML models for business process improvement. • Analyse workplace technology needs and identify areas for automation. • Collaborate with stakeholders to understand requirements and deliver solutions. • Continuously test, improve, and refine AI/ML models for accuracy and performance. • Stay updated on industry trends and emerging AI/ML technologies. Qualifications: • 5+ years of experience in AI/ML development and deployment. • Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. • Strong understanding of data analysis, statistics, and machine learning techniques. • Excellent communication and problem-solving skills. • Experience in workplace technology solutions is highly desirable. Job Location: Vadodara (WFO Only) Work Timings: 05:00 PM to 03:00 AM

Responsibilities: * Develop computer vision algorithms using TensorFlow/PyTorch * Ensure software quality through testing and documentation * Manage AI algorithm development process

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design and architect scalable and efficient generative AI models and systems. Develop and implement generative AI algorithms for various applications, including text generation, image synthesis, and more. Collaborate with data scientists, machine learning engineers, Integration engineers, UI Developers and software developers to integrate AI models into production environments. Lead the development of AI-powered applications and services, ensuring they meet performance, scalability, and reliability requirements. Stay updated with the latest advancements in Gen AI, LLMs, Gen AI Frameworks, Cloud technologies, AI and machine learning, and apply them to improve existing systems and processes. Provide technical guidance and mentorship to team members and stakeholders. Conduct research and experiments to push the boundaries of generative AI capabilities. Your Profile Master's or PhD degree Computer Science, Engineering, Mathematics, or a related field or a related field. 7+ years of experience in AI/ML development, with a focus on generative models. Strong proficiency in programming languages such as Python, Java, or C++. Extensive experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven track record of designing and deploying AI systems in a production environment. Deep understanding of neural networks, natural language processing, and generative models (e.g., GANs, VAEs, Transformers). Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). What you love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

You are the Factory Digital Twin Front End and AI Data Solutions Engineer who will be a valuable addition to our dynamic development team. In this role, you will play a crucial part in driving the development and implementation of Factory Digital Twins, supporting our Digital Governance and Excellence Team. Your day will be filled with exciting tasks such as developing and maintaining web applications to enhance user interaction with the Factory Digital Twins Simulation (FDTS). You will also be responsible for creating structures for data and knowledge, including glossaries, taxonomies, ontologies, and knowledge graphs. Working in collaboration with the team, you will be involved in implementing FDTS on the AWS cloud and rolling it out in the factories. Additionally, you will analyze factory data related to Products, Process, and Resources (PPR), develop ETL Pipelines, and generate standardized inputs for FDTS. Furthermore, you will be working on simulation analytics, deriving recommendations and measures, optimizing factories and manufacturing networks, and developing AI algorithms for analytics, explanation, improvement scenarios generation, and optimization of factories and manufacturing networks. To excel in this role, you must have a successful university degree in Engineering, Automation, Computer Science, Mathematics, Physics, or related fields. You should possess extensive experience in developing applications (Web-UI), databases, and graphs, particularly in conjunction with LLM. Proficiency in developing ETL Pipelines, creating dashboards for data analytics and visualization, and working with Multi-AI-Agent-Systems for optimization purposes is essential. Knowledge and experience in 3D Deep Learning will be advantageous. A deep understanding of factory domains, production, product structures, manufacturing processes, and technologies, especially in factory planning, is required. Proficiency in English and willingness to travel globally are preferable. If you are ready to take on this exciting opportunity and make a significant impact in the realm of Factory Digital Twins and AI Data Solutions, we look forward to welcoming you to our team.,

As a CDP Specialist, you will be responsible for building, optimizing, and managing a robust customer data ecosystem to support personalized marketing strategies, analytics, and data-driven decision-making. The role demands technical expertise and hands-on development skills to implement and maintain the CDP infrastructure. Lead the implementation and configuration of the Customer Data Platform, ensuring proper integration with marketing technologies. Oversee the collection, organization, and maintenance of customer data within the CDP, ensuring it is accurate, complete, and up to date. Implement data governance protocols to maintain data quality, consistency, and compliance with regulatory standards. Leverage the CDP to create highly targeted and segmented customer groups based on behaviors, demographics, and past interactions. Collaborate with marketing teams to ensure the effective use of customer segments for email, social, web, and other marketing channels. Use and implement ML models on the CDP platform to derive actionable insights from customer data stored in the CDP. Develop predictive analytics models to enhance customer segmentation, improve personalization strategies, and drive dynamic pricing models. Implement recommendations and personalization in marketing campaigns across email, social media, web, and app channels. Leverage powered tools to predict customer behaviors, optimize campaigns, and recommend relevant content or products to customers. Qualifications: Education: Bachelors degree in marketing, Data Science, Computer Science, Business Analytics, or a related field. A masters degree is a plus. Experience: 2-6 years of experience working with Customer Data Platforms, AI/ML-driven tools, and marketing technologies. Technical Skills: Proficiency in CDP platforms such as Adobe Experience Platform, or similar. Strong understanding of AI/ML algorithms, predictive analytics, and ML business models powered. Experience in tools like Python, R, or similar for AI model development.,

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. With expertise across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song - all driven by the world's largest network of Advanced Technology and Intelligent Operations centers. Our team of 699,000 individuals works diligently every day to leverage technology and human ingenuity, serving clients in over 120 countries. We believe in the power of change to drive value and shared success for our clients, people, shareholders, partners, and communities. Accenture Strategy & Consulting is currently seeking a Data Science Consultant to join the CMT S&P team in Hyderabad/Bangalore. This team focuses on developing Data & AI solutions for SaaS and PaaS clients, collaborating closely with onsite counterparts to identify growth opportunities and deliver client projects from offshore. As a Data Science Consultant at Accenture, you will be part of a global Analytics practice comprising over 20,000 talented colleagues with expertise in leading statistical tools, methods, and applications. Our consultants deliver analytically informed insights at scale, empowering clients to enhance outcomes and achieve high performance. You will have the opportunity to continually enhance your skills and knowledge in SaaS & PaaS, supported by Accenture's commitment to your learning and development. In this role, you will gather business requirements to design a high-level business solution framework aligned with objectives, monitor project progress, collaborate with project leads and engineers to develop AI solutions, and test AI algorithms tailored to address specific business challenges. You will communicate project updates to stakeholders, foster positive client relationships, and mentor a team of AI professionals to drive innovation, collaboration, and excellence. Additionally, you will conduct market research to stay abreast of AI technologies" latest advancements and trends, promoting continuous learning opportunities for team members to support their professional development.,

Position Summary: We are seeking a Factory Digital Twin Front End and AI Data Solutions Engineer to join our dynamic development team. In this role, you will drive the development and implementation of Factory Digital Twins, supporting the Digital Governance and Excellence Team. The ideal candidate should have a strong background in engineering or computer science, with experience in web application development, database management, and AI algorithms. A Snapshot of your Day How You'll Make an Impact (responsibilities of role) Development and maintenance of web-applications that will improve the user-interaction with the application Factory Digital Twins Simulation (FDTS). Development of structures for data and knowledge like glossaries, taxonomies and ontologies, knowledge graphs as well as modelling of logical constraints and rules in combination with LLM. Cooperation within the Team responsible for the implementation of FDTS on AWS-cloud and rollout in the factories. Analysis of factory data related to the three domains Products, Process and Resources (PPR) and development of ETL (Extraction, Transformation and Loading) Pipelines to generate a standardized input for FDTS. Realization of simulation analytics, automated derivation of recommendations and measures as well as optimization of brownfield or greenfield factories and the manufacturing network. Development of AI algorithms for analytics, explanation, generation of improvement scenarios, and optimization of factories and manufacturing network toward defined situation and business goal functions. What You Bring (required qualification and skill sets) Successful university degree in Engineering, Automation, Computer Science, Mathematics, Physics, or similar. Extensive experience in development of applications (Web-UI), databases and graphs, especially in combination with LLM Working knowledge in development of ETL-Pipelines and development of dashboards for data analytics and visualisation. Understanding and experience in Multi-AI-Agent-Systems for optimization purposes. Understanding and experience in 3D Deep Learning is an advantage. Profound understanding and experience in factory domains, production, product structures and manufacturing processes and technologies, especially in factory planning. Proficiency in English and readiness to travel globally is preferable.

Roles & Responsibilities: Collect, preprocess, and analyze large structured and unstructured datasets. Develop, train, and optimize machine learning and deep learning models. Build predictive models for classification, regression, recommendation, and NLP/vision tasks. Design and implement scalable ML pipelines and deploy them into production environments. Conduct feature engineering, model selection, hyperparameter tuning, and validation. Monitor model performance, detect drift, and improve accuracy over time. Collaborate with product, engineering, and business teams to translate business problems into data-driven solutions. Document methodologies, maintain reproducibility, and ensure ethical AI practices. Work with big data tools (Spark, Hadoop) and cloud ML services (AWS Sagemaker, GCP AI, Azure ML). Stay updated with advancements in AI/ML and contribute to innovation initiatives. Requirements: Bachelors/Master’s/PhD in Computer Science, Data Science, Statistics, or related field. 5+ years of proven experience in Data Science & Machine Learning. Strong coding skills in Python (pandas, numpy, scikit-learn, TensorFlow, PyTorch). Solid understanding of statistical modeling, probability, and linear algebra. Hands-on with data visualization tools (Tableau, Power BI, matplotlib, seaborn). Experience in deploying ML models in production (Docker, Kubernetes, APIs). Knowledge of MLOps best practices and cloud AI platforms. Strong analytical mindset, critical thinking, and communication skills.

Responsibilities: * Develop AI solutions using machine learning algorithms on AI platforms with AI techniques. * Optimize ML models for performance and scalability. Develop Ai solution on our website Work from home

You should have 2-4 years of experience in the field. The job is located in Indore. Your primary skills and qualifications should include a strong proficiency in Python and related libraries like Pandas and NumPy. You should also be familiar with PandasAI and Streamlit for AI-driven data visualization and application development. Experience in building and deploying AI chatbots is required. A solid understanding of AI algorithms, data analysis, and machine learning techniques is essential. Experience in integrating AI solutions with ERP systems, particularly in the construction/real estate or transport sectors, is preferred. Knowledge of cloud platforms such as AWS, Azure, and Google Cloud for deploying AI applications is also necessary. This is a full-time position with benefits including health insurance and Provident Fund. The job requires in-person work during day shifts and morning shifts. You should be able to reliably commute or plan to relocate to Indore, Madhya Pradesh before starting work. The required experience includes 1 year in AI and 2 years in Python. Overall, you will be responsible for utilizing your expertise in Python, AI, and related technologies to develop and deploy AI solutions, particularly in the context of ERP systems and data visualization.,

As an AI Technical Lead at Academian in the EdTech domain, you will play a crucial role in developing and deploying cutting-edge AI solutions that enhance education through technology. Academian is a leading EdTech company that focuses on delivering impactful learning experiences and shaping the future of education with AI-driven solutions. Your primary responsibility will be to design, train, and deploy AI models for diverse use cases such as computer vision, natural language processing (NLP), and generative AI. You will optimize these models for performance, scalability, and accuracy using core algorithms and frameworks like TensorFlow, PyTorch, and Scikit-learn. Additionally, you will work on developing and fine-tuning open-source large language models (LLMs) and integrating AI solutions with Vector/Graph databases for advanced data relationships. In this role, you will lead a team of engineers, mentoring them to foster innovation and skill development. Collaboration with cross-functional teams, including product management and software development, will be essential to align AI strategies with business goals. Leveraging cloud AI platforms and open-source frameworks for scalable solutions and experimentation will also be part of your responsibilities. To excel in this position, you should have at least 5 years of experience in AI/ML, with a minimum of 2 years in a technical lead role. Strong proficiency in machine learning frameworks, hands-on experience with tools like Hugging Face and Google AI tools, and familiarity with open-source LLM development are required. Domain knowledge in EdTech standards and adaptive learning systems, along with exceptional leadership and problem-solving skills, will set you up for success. If you are looking for an opportunity to lead AI initiatives that shape the future of education technology, work in a collaborative and innovative environment, and engage with impactful projects and cutting-edge AI technologies, Academian offers a competitive salary, benefits, and opportunities for professional growth. Join us in revolutionizing the EdTech industry with AI-driven solutions.,

About the Role We are seeking a passionate and skilled AI Developer with 3 to 5 years of experience, who not only excels in AI development but also demonstrates leadership qualities. The ideal candidate will be eager to explore innovative AI solutions, mentor junior developers, and take ownership of projects from concept to deployment. This is a hands-on role with the added responsibility of team guidance and project leadership. Key Responsibilities • Design, build, and deploy AI and Machine Learning models for real-world applications. • Lead small project teams or guide junior developers in AI tasks and best practices. • Collaborate with product managers, data scientists, and engineers to deliver end-to- end AI solutions. • Preprocess, analyze, and manage datasets to support model development. • Develop and implement NLP, computer vision, or recommendation systems based on project needs. • Ensure scalability, security, and performance of AI models in production environments. • Conduct code reviews and enforce quality standards within the AI team. • Stay updated with AI advancements and share knowledge with the team. • Manage project timelines, communicate progress, and proactively address risks or challenges. Required Skills • 3 To 5 years of strong hands-on experience in AI development. • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). • Solid understanding of deep learning models (CNNs, RNNs, Transformers). • Experience with NLP (BERT, GPT, SpaCy, NLTK) or computer vision frameworks (OpenCV, YOLO). • Experience in model deployment using Flask/FastAPI, Docker, or cloud services (AWS/GCP/Azure). • Knowledge of data structures, algorithms, and statistics for AI/ML. • Strong debugging, problem-solving, and optimization skills. • Leadership qualities: mentoring juniors, assigning tasks, managing deliverables. • Excellent communication skills to collaborate with cross-functional teams. • A genuine passion for AI, innovation, and team success.

Role Purpose The person will be primarily responsible for automating business problems and key business processes through AI/ML/NLP and GenAI Capabilities. Should have experience in machine learning and GenAI based solutions or products at production Minimum 6+ years of experience with designing and implementing AI/ML model, out of which minimum 3+ years on implementing GenAI based solutions Must have delivered at least one GenAI based Solutions into production or POC level. Must have Good programming skills with Python. Experience in LLMs/Open Source LLMs (like ChatGPT, LLama, Gemini, Mixtral etc.) and Langchain/Lamaindex frameworks.Knowledge of ML frameworks (TensorFlow, PyTorch, OpenCV) and familiarity with deep learning concepts is a must Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes). Understanding of key Machine learning/AI algorithms is must. Expertise in visualizing and manipulating big datasets using Matplotlib or Plotly Mandatory Skills: RPA .Experience: 5-8 Years .

Proven experience in leading AI/ML model deployment projects and managing cross-functional teams. • Proficiency in Python language • Experience in front-end and back-end development, data structuring, and project management

Were Hiring: AI Application Developer Location: Hyderabad (On-site/Hybrid) Employment Type: Full-Time About the Role Coschool is seeking a skilled AI Application Developer with expertise in building AI-powered solutions. In this role, you will design, develop, and deploy high-quality prompts and applications for our AI models, working closely with education SMEs, product teams, and engineers to deliver scalable, reliable, and impactful AI solutions for the education sector. Key Responsibilities Design and develop high-quality prompts and AI-powered applications for diverse educational use cases. Collaborate with SMEs, engineers, and product teams to enhance AI-driven text, image, audio, and video generation. Build and maintain APIs, backend systems, and scalable infrastructure supporting AI models and data pipelines. Troubleshoot, debug, and optimize backend infrastructure and prompt execution. Mentor and guide junior engineers in AI prompt engineering and application development. Stay updated on AI/ML/NLP advancements and integrate emerging technologies into production. Proactively identify and implement AI-driven solutions for internal and external use cases. Monitor and fine-tune system performance in production for reliability and scalability. Requirements Proven experience building AI-driven applications using open-source/public LLMs. Proficiency in Python and Node.js with experience in SaaS platforms (MEAN/MERN). Strong grasp of software architecture, APIs, databases, scalable systems, and algorithms. Hands-on debugging, troubleshooting, and optimization expertise. Excellent communication, problem-solving, and collaboration skills. Nice to Have: Experience with TensorFlow, PyTorch, scikit-learn, or other ML/NLP frameworks. Exposure to cloud platforms like AWS SageMaker, GCP AI Platform, or Azure AI. Familiarity with CI/CD, testing frameworks, and agentic AI approaches.

Job Title: Insight Analyst About the Role: We are looking for a proactive and detail-oriented Insight Analyst to join our team. The ideal candidate is a self-starter with strong Python expertise and a passion for leveraging data to drive business decisions. Prior experience in AI transformation projects will be an added advantage. This role requires analytical thinking, problem-solving ability, and the curiosity to turn complex data into actionable insights. Key Responsibilities: Collect, analyze, and interpret large datasets to provide actionable business insights. Develop Python-based models, scripts, and automation processes to streamline analysis. Collaborate with stakeholders to understand business problems and translate them into analytical solutions. Contribute to AI transformation projects by supporting data modeling, experimentation, and deployment. Prepare clear reports, dashboards, and presentations to communicate findings effectively. Continuously identify opportunities to improve processes and enhance data-driven decision-making. Required Skills & Qualifications: Proven experience working with Python for data analysis, modeling, and visualization. Strong problem-solving skills with the ability to work independently as a self-starter. Knowledge or exposure to AI/ML concepts and projects (hands-on experience preferred). Strong communication skills to present insights in a clear and structured manner. Flexible with Excel or other BI tools (preferred but not mandatory). Nice-to-Have: Experience in AI transformation projects in a previous role. Familiarity with SQL, Power BI, or Tableau. Background in statistics, mathematics, or data science. Education & Experience: Bachelors or Masters degree in Computer Science, Statistics, Data Science, or related field. 1 years of relevant experience in data/insight analysis (open to flexible experience levels). Why Join Us? Opportunity to work on impactful projects and contribute to AI-driven transformation. Collaborative and growth-focused environment. Flexibility to explore new tools and innovative problem-solving methods.

Artificial Intelligence Engineer Assist in building intelligent systems using AI techniques. Responsibilities: - Develop AI models for classification, prediction, and recommendation. - Integrate AI solutions into applications. - Test and validate AI models. - Document development processes and results. Requirements: - Bachelor's degree in AI, Computer Science, or related field. - Basic understanding of AI algorithms and tools. - Familiarity with Python and AI frameworks. - Analytical thinking and curiosity.

AI & ML Engineer Support the development of AI and machine learning models and applications. Responsibilities: - Assist in data preprocessing and model training. - Implement ML algorithms using Python libraries. - Evaluate model performance and tune parameters. - Collaborate with data scientists and engineers. Requirements: - Bachelor's degree in computer science, AI, or related field. - Basic knowledge of Python and ML libraries (scikit-learn, TensorFlow). - Understanding of data handling and model evaluation. - Interest in AI technologies and applications.

Engineer - Methods & Tools (Data Analyst) About The Team: Methods & Tools is a transverse team working with different core engineering verticals in Airbus. The USP of this team is working in a multi-functional environment providing digital solutions to engineering problems. The USP of the team is people with Core Engineering domain knowledge complemented by software development skills. The team plays an enabler role in various digitization initiatives across Airbus utilizing the latest technologies and the domain knowledge they have. Some examples of the digital solutions for various Core Engineering departments such as Data driven designs of wiring, automated routing electrical harnesses, Data Analytics based products aimed at reducing physical tests of material specimens. It also involves developing web-based solutions to encapsulate and automate different workflows such as flight test planning etc. In addition to these , developing tools for Electrical Wiring Harness and Hydraulic Circuit design process improvements. Some of the tools developed; are used in the areas of Aircraft Safety analysis and Engineering Business Data monitoring etc. We believe in and follow Agile, Scrum and SAFe methodologies in developing state of the art digital products for the areas mentioned above. Skills Needed: Good knowledge on System Engineering Analytical Skills: Strong ability to think critically, solve problems, and make sound judgments based on data. Statistical Analysis: Proficiency in using statistical software and applying statistical techniques. Good in Data Visualization:Creating charts, graphs, and dashboards to present findings in a clear and understandable manner. Good in Data Collection and Cleaning. Experience in Database Management:Designing, developing, and maintaining databases and data systems. Strong Problem Solving Capabilities High attention to detail and a commitment to data accuracy. Preparing reports and communicating insights to stakeholders, both verbally and in writing. Experience in Strong communication skills to confidently deliver multiple projects across many teams Obsessively passionate and inquisitive, and ability to analyze large features and implement practical solutions Excellent debugging skills Ability to work in a fast-paced environment that requires quick adoption of new techniques and out-of-the-box thinking Coordinates and synchronizes with Product Owners, part of the same Agile Release Train Good understanding of Agile methodologies (SAFe / Scrum / Kanban) Overall understanding of the Software Development Lifecycle (SDLC) Overall experience: 4- 6 years

As an AI Algorithm Developer, you will be responsible for developing cutting-edge AI algorithms and models to enhance intelligent automation and decision-making processes. You will collaborate closely with cross-functional teams to design and implement AI solutions that are in line with the organization's business objectives. Your role will involve conducting in-depth research and analysis to identify opportunities for integrating AI and enhancing existing systems. In this position, you will leverage your expertise to create intuitive user interfaces and seamless experiences for AI-powered products and services. It will be essential to stay abreast of industry trends and best practices, ensuring that our AI capabilities are continuously improving. You will play a crucial role in testing and validating AI designs to guarantee their accuracy, reliability, and efficiency in real-world applications. Furthermore, effective communication skills are vital as you will be required to articulate and present AI concepts and strategies to both technical and non-technical stakeholders. This role offers a full-time position with a day shift schedule. The ideal candidate should have at least 1 year of experience in Sora, Runway, Dora, and Midjourney to be considered for this role. The work location for this position is in person.,

Greetings from V2Soft! We are hiring for AI Architect for Bangalore Location Role : AI Architect Exp : 9 - 16 years Location : Bangalore Mode : Work from Office Skills : AI, AI Architect, Python, Pytorch, Gen AI, TensorFlow, Open API, AI Models, scikit-learn Role & responsibilities AI Architect A Key Responsibilities: 1. Solution Design: Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals. 2. Algorithm Development: Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities. 3. Data Processing: Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models. 4. Model Training and Evaluation: Train and fine-tune machine learning models using large datasets, and rigorously evaluate model performance using appropriate metrics. 5. Infrastructure and Tools: Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems. 6. Prototyping and POCs: Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions. 7. Technical Leadership: Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration. 8. Research and Innovation: Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions. 9. Deployment and Integration: Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows. 10. Performance Optimization: Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues. 11. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and code comments. Qualifications and Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus. Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members. Interested Candidates can send your updated resume to : kkumarpn@v2soft.com Regards Kiran

Location: Galaxy Diamond Plaza, Sector 4, Greater Noida (Near Char Murti) Working Days: 6 Days a Week Visacent LTD. is hiring PHP Developer with strong knowledge of PHP, MySQL, jQuery, JavaScript, and CSS , and is comfortable working with AI tools . You will be responsible for building, maintaining, and optimizing our web applications for speed, performance, and scalability. Key Responsibilities: Develop and maintain web applications using PHP, MySQL, jQuery, JS, and CSS. Implement smart features by integrating AI tools into projects. Optimize websites for performance and responsive design. Work closely with the design and SEO teams for better UI/UX and results. Debug, test, and maintain high-quality code. Required Skills: Strong command of PHP, MySQL, jQuery, JavaScript, CSS . Hands-on experience with AI tools for automation and smart functionalities. Knowledge of web standards, responsive design, and cross-browser compatibility. Ability to write clean, reusable, and efficient code. Basic understanding of APIs (a plus, not mandatory). Why Join Us? Work with an international brand (offices in USA, UK, and India). Exposure to global projects & clients . Use of latest technologies & AI tools . Friendly and growth-focused work environment. Opportunities to learn, grow, and work on impactful projects

Machine Learning (ML) Full Stack Engineer: AI Agent System About the Role: We are seeking a talented Machine Learning Engineer to help design, train, and deploy key ML components of our AI Agentic system, which automates crew selection for live events. Youll work on two core areas: Fine-tuning LLMs for natural-language event creation. Building ranking models for human resources selection based on performance, availability, and feedback. Youll collaborate with our Data Analyst, AI Engineers, and Backend team to deliver robust, explainable, and production-ready ML systems. Key Responsibilities: Model Development Fine-tune open-source LLMs (e.g., LLaMA 2, DeepSeek, Mistral) using domain-specific data (event records, job descriptions). Build a Ranker model that scores and ranks crew members using: Historical performance Event attendance Ratings, notes, and feedback Availability data Cancellation rates (negatively weighted) Data Work Collaborate with Data Analysts to clean, preprocess, and label datasets for ML training. Develop robust feature engineering pipelines and transformation logic. Evaluation & Tuning Experiment with different ML algorithms (XGBoost, Random Forest, or Neural Nets) for ranking. Evaluate model performance using precision, recall, accuracy, and business-centric metrics (quality of match). Run A/B testing or simulated matching if applicable. Deployment Support Export trained models in a form consumable by AI Agents (ONNX, pickle, TorchScript, etc.). Work with Backend/DevOps teams to ensure model inference is performant and scalable. Documentation Create technical documentation for model logic, assumptions, and explainability. Provide guidelines for continuous improvement based on feedback loops. Required Skills & Qualifications: 3+ years of experience in machine learning / AI development Strong understanding of: Supervised learning (ranking, classification) NLP techniques (tokenization, embedding models, prompt engineering) Fine-tuning LLMs using LoRA or PEFT frameworks Hands-on with ML libraries: PyTorch, Transformers (Hugging Face), scikit-learn, XGBoost Strong coding skills in Python Experience building, evaluating, and tuning real-world ML models Preferred candidate profile Experience working with event scheduling, HR tech, or workforce automation Familiarity with RAG systems (Retrieval Augmented Generation) Knowledge of MLOps or deployment workflows Use of GPU-enabled training environments, especially in Azure or Colab Pro, OpenAI Tools You May Use: Hugging Face Transformers, Datasets PyTorch / TensorFlow Scikit-learn, XGBoost Azure ML / Google Colab / Jupyter MLflow (optional for tracking) Pandas, NumPy GitHub / Bitbucket for version control Role & responsibilities