3120 Artificial Intelligence Jobs - Page 32

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

The Opportunity Were looking for the Wavemakers of tomorrow. System Engineer We are looking for a System Modelling Engineer to lead our work on developing high-level models of complex systems for simulation, verification and Emulation purposes. You will be responsible for creating, testing, and maintaining C/C++/SystemC models of hardware and software components, as well as integrating them into larger system models. You will also collaborate with other engineers and stakeholders to ensure the accuracy and quality of the models and their alignment with the specifications and requirements. You will also mentor and guide junior engineers and contribute to the improvement of the modelling and simulation processes and tools. What Youll do: Create virtual models of our connectivity IPs using SystemC/C++ and C libraries Test and debug the models using SystemC simulation tools and frameworks Integrate models into emulation and verification environments to enable early software development as well perform functional simulations. Work on Industry Emulation platforms such as Zebu, Palladium, Veloce Integrate the models into virtual platforms and verify their functionality and performance Maintain and update the models according to the changes in the design and requirements Document the models and their interfaces and provide support for their usage and integration Collaborate with other engineers and stakeholders to ensure the consistency and quality of the models and their alignment with the specifications and requirements Contribute to the improvement of the modelling and simulation processes and tools and propose new solutions and best practices. What Youll need: Bachelors degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or related field 5-8 years of experience in SystemC/C++/C modelling and simulation Exposure to Emulation tools such Palladium, Zebu, Veloce. Familiar with SystemC simulation tools and frameworks, such as TLM2.0, and UVM-SystemC Knowledge of hardware and software design and verification methodologies and standards Experience in modelling and simulating complex systems, such as embedded systems, SoCs, or ASICs Excellent communication and teamwork skills Strong leadership and mentoring skills Attention to detail and quality-oriented mindset We have a flexible work environment to support and help employees thrive in personal and professional capacities As part of our commitment to the well-being and satisfaction of our employees, we have designed a comprehensive benefits package that includes: Competitive Compensation Package Restricted Stock Units (RSUs) Provisions to pursue advanced education from Premium Institute, eLearning content providers Medical Insurance and a cohort of Wellness Benefits Educational Assistance Advance Loan Assistance Office lunch & Snacks Facility Equal Employment Opportunity Statement Alphawave Semi is an equal opportunity employer, welcoming all applicants regardless of age, gender, race, disability, or other protected characteristics. We value diversity and provide accommodations during the recruitment process.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Conduct code reviews and ensure adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to optimize team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Skills Required : Engineering Management, People Management, Technical Leadership, System Architecture Education/Qualification : B.E / B.Tech / MCA / M.Tech equivalent Desirable Skills : Agile Methodology, Cloud Computing, Artificial Intelligence Years Of Exp : 10 to 14 Years

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Role & responsibilities : 1. Data Handling Collect and clean data from machines, sensors, and production lines. 2. Model Building Support basic AI/ML model development for quality checks, defect detection, and maintenance prediction. 3. PoC Assist in small projects to test AI ideas in real manufacturing settings. 4. Collaboration Work with engineers and IT teams to understand problems and implement solutions. Good to know: Interest in manufacturing and automation. Preferred candidate profile Interested candidate kindly share me your CV at jeevabvr@gmail.com

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, and experiment results clearly and consistently Support in integrating AI/ML models into production environments Stay updated with the latest trends and techniques in machine learning, deep learning, and AI Participate in code reviews, sprint planning, and product discussions Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras Knowledge of data preprocessing, feature engineering, and model validation techniques Understanding of probability, statistics, and linear algebra Familiarity with tools like Jupyter, Git, and cloud-based notebooks Problem-solving mindset and eagerness to learn Good communication skills and the ability to work in a team Internship/project experience in AI/ML is a plus Education: B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus

Key Responsibilities: Lead the design and implementation of AI/ML solutions across various business domains. Architect end-to-end GenAI solutions, ensuring scalability, reliability, and security. Collaborate with data scientists, engineers, and product managers to translate business requirements into technical solutions. Evaluate and select appropriate AI frameworks, tools, and build core AI framework. Ensure best practices in software engineering, code quality, and system security. Oversee integration of AI models into existing software products and cloud environments. Mentor and guide development teams on AI/ML best practices and software architecture. Stay updated with the latest advancements in AI, ML, and software engineering. Required Qualifications: 8+ years of experience in software development, with at least 3 years in AI/ML solution architecture. Strong programming skills in Python, Java, or similar languages. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Solid understanding of software architecture patterns, APIs, and microservices. Proven track record of delivering complex AI projects from concept to production. Preferred Skills: Experience with MLOps, CI/CD for ML, and containerization (Docker, Kubernetes). Familiarity with data engineering tools (Spark, Kafka, Airflow). Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

Our client is Leading IT Services and Consulting organization Location: Bangalore/ Hyderabad/Chennai AI/ML Engineer Mandatory Skills: Python, Machine, AI/ML Notice period: Immediate 30 Days

Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) - Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark - Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. - Experience applying various machine learning techniques and understanding the key parameters that affect their performance. - Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). - Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras - Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB - Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. - Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). - Previous experience in ML, data scientist or optimization engineer role with a large technology company. - Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. - Experience in creating data driven visualizations to describe an end-to-end system. - Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. - Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field.

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment.

What Youll Do We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping customers change their business using Cisco technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage. Who You Are Youre energized by the fast-paced landscape in IT and how AI is changing the world. You love technology and thrive in solving complex problems. You are an amazing presenter and can translate complex technical scenarios into a simple easy to understand message. You inspire those around to use technology in innovative ways and use a hands-on methods to demonstrate your ideas. Minimum Qualifications : 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI). Good understanding of programming/scripting languages Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions. Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems. Excellent presentation skills ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred Qualifications : Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus. Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc). In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar. Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc). Expertise in training and fine-tuning AI models on premise or in cloud environments. Familiarity with containerization (k8 etc).

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience in Java, AWS, Terraforms Hands-on practical experience in system design, application development, testing, and operational stability, with hands-on experience in developing and deploying applications on AWS Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience in Java, AWS, Terraforms Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

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

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer anc Community Banking , you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Expereince in Java, J2EE, Fullstack, React JS, AWS. Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

Face to Face interview in Pune . Please apply only if you are available for a Face to Face interview . Job highlights Required Qualifications . 0 -2 years of relevant industry experience or fresh graduates are welcome to apply. Basic experience or understanding in applying Data Science methodologies to extract, process, and transform data from multiple sources. Preferred Qualifications . Bachelors degree in Data Science , AI, Statistics ,Computer Science, Economics, or a directly related field. Essential Duties and Responsibilities Assist in developing, fine-tuning, and deploying machine learning models. Aid in consulting with key internal and external stakeholders to understand and frame model requirements and potential applications. Participate in the development of sound analytic plans based on available data sources, business partner needs, and required timelines. Work with software engineers in integrating trained models into end-user applications. Help manage deliverables across multiple projects in a deadline-driven environment. Present results, insights, and recommendations to both technical and non-technical stakeholders. Required Qualifications 0 -2 years of relevant industry experience or fresh graduates are welcome to apply. Good knowledge of Python and Linux, familiarity with ML frameworks, and a willingness to learn. Demonstrated problem-solving abilities and creative thinking. Basic experience or understanding in applying Data Science methodologies to extract, process, and transform data from multiple sources. Excellent communication and interpersonal skills. Must be comfortable working in a team-oriented environment. Preferred Qualifications Bachelor's degree in Statistics, Computer Science, Economics, or a directly related field. Masters degree or current enrollment in a Masters program in Statistics, Computer Science, Mathematics, Economics, or directly related fields is a plus. Demonstrated passion for continued learning and innovation. As a Data Science Assistant, we expect not just skills and qualifications, but also an enthusiasm for learning and growing within our team. We value those who are adaptable, innovative, and ready to take on challenges in a fast-paced work environment. Diversity, Inclusion & Equity At Rocket we are committed to an inclusive workplace environment, where every Rocketeer can thrive by bringing their full selves to work. Being a Rocketeer means you are part of our movement to continually drive inclusivity, diversity and equity in our workforce.

Why should you choose us? Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded thinking that threatens the industrys pursuit of rapid innovation and growth. Based on proven modern infrastructure practices, its open interface platforms make it possible to launch and operate advanced mobile services in a fraction of the time and cost of conventional approaches, with no compromise to network quality or security. Rakuten Symphony has operations in Japan, the United States, Singapore, India, South Korea, Europe, and the Middle East Africa region. For more information, visit: https://symphony.rakuten.com Building on the technology Rakuten used to launch Japans newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business from sales to engineering, support functions to product development. Lets build the future of mobile telecommunications together! About Rakuten Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in ecommerce, fintech, digital content and communications to approximately 1.5 billion members around the world. The Rakuten Group has over 27,000 employees, and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/ Job Summary: The AI Architect is a senior technical leader responsible for designing and implementing the overall AI infrastructure and architecture for the organization. This role will define the technical vision for AI initiatives, select appropriate technologies and platforms, and ensure that AI systems are scalable, reliable, secure, and aligned with business requirements. The AI Architect will work closely with CTO Office, product manager, engineering manager, data scientists, machine learning engineers, and other stakeholders to build a robust and efficient AI ecosystem. Mandatory Skills: Cloud Computing Platforms (AWS, Azure, GCP). AI/ML Frameworks (TensorFlow, PyTorch, scikit-learn) . Data Engineering Tools (Spark, Hadoop, Kafka). Microservices Architecture. AI/ML as a service Deployment. DevOps Principles (CI/CD/CT). Strong understanding of AI/ML algorithms and techniques Roles & Responsibilities: Define the overall AI architecture and infrastructure strategy for the organization. Select appropriate technologies and platforms for AI development and deployment. • Design scalable, reliable, and secure AI systems. Develop and maintain architectural blueprints and documentation. Provide technical leadership and guidance to tech lead, engineering manager, data scientists, machine learning engineers, and other stakeholders. Ensure that AI systems are aligned with business requirements and industry best practices. Evaluate new AI technologies and trends. Collaborate with security and compliance teams to ensure that AI systems meet regulatory requirements. Collaborate with CTO Office to ensure the AI strategy implemented aligned with overall business unit strategy.

Our client INFOSYS is looking for Artificial Intelligence Engineer position with 5+ years of experience in Pune location. CONTRACT TO HIRE AND WORK FROM OFFICE Job Description : Mandatory Skills : Python + LLMs + AI + Azure Certified. ole Definition: This is a specialized role for an AI Software Engineers design, build, and deploy scalable AI models and systems. They work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions. Skills: Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data pipeline development Understanding of AI/ML algorithms and their applications MLOps frameworks Knowledge of cloud platforms (Azure ML especially) Model deployment process o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account, Postgresql, Cosmos o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) o Expertise in data preprocessing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability to optimize models for performance and scalability o Experience with Azure AI Search

AI Developer Req number: R5051 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. You’ll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. This is a Full-time and Hybrid position. Job Description What You’ll Do Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. What You'll Need 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems. Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Preferred Experience with diffusion models or reinforcement learning. Publications in top AI conferences (NeurIPS, ICML, CVPR). Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Greetings from Blue Altair! Job Overview: We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members. Title: Consultant/Sr. Consultant - Data Science Engineer Experience : 5-8 years Location: Pune/Bangalore (Hybrid) Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures. Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Prepare technical documentation and present insights to both technical and non-technical stakeholders. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members.

Key Responsibilities: Analyze large volumes of labeled and unlabeled data to identify trends, anomalies, and labeling patterns that can improve model training or operational efficiency. Design and maintain automated dashboards and reporting frameworks to track labeling quality, throughput, and issue trends. Partner with Client leadership to understand data requirements and provide actionable insights for model optimization. Develop scalable data pipelines for data validation, aggregation, and visualization. Apply data mining techniques to evaluate annotation consistency, inter-rater reliability, and data quality. Contribute to AI data evaluation strategies through analytical experimentation and feedback integration. Collaborate with cross-functional teams to enhance data annotation workflows and ensure metrics alignment. Requirements : Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. 3–8 years of hands-on experience in data analysis roles, preferably in AI/ML or data labeling environments. Proficient in SQL and Python for data manipulation, analysis, and automation. Understanding of data labeling workflows and familiarity with metrics like accuracy, precision, recall, and inter-rater agreement. Strong analytical thinking with the ability to interpret large datasets and provide actionable insights. Excellent communication skills with the ability to present findings to both technical and non-technical audiences. Self-starter with a keen eye for detail and a passion for working in AI-driven data environments.

Conduct in-depth legal research on U.S. federal and state laws, regulations, and case precedents. Draft a variety of legal documents, including but not limited to, pleadings, motions, discovery requests and responses, briefs, and correspondence so on