7846 Artificial Intelligence Jobs - Page 35

Sr. Associate - SOC - Netskope: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. Curious to know what its like to work at Evalueserve? Watch this video What you will be doing at Evalueserve Threat and Vulnerability analysis. Analysis and response to hardware and software vulnerabilities. Manage security tools Knowledge of Cloud security Comprehensive knowledge on Vulnerability scanning tool UEBA and SOAR Audit and Compliance support Incident Response on Cybersecurity Knowledge of EDR, identity threat protection, Exposure management, RFM and unmanaged assets Knowledge of SIEM (Security Information and Event Management) and use cases. Monitoring network activity and ensuring no suspicious activities are happening. Collaborating with other departments to ensure system security. Identifying vulnerabilities and recommending changes to strengthen security. Conduct detailed analysis of incidents and create reports and dashboards. Handling incident alerts and collaborating with right stakeholders. Analyses all the attack alerts and come up with proper analysis What were looking for: About 4 - 8 years of work experience Knowledge of Proxy, secure web gateway (Policies, Rules) and related security alerts. Working experience of Endpoint DLP, Cloud DLP and CASB. Critical thinking and problem-solving abilities Monitoring and auditing the companys systems. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about how Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note :We appreciate the accuracy and authenticity of the information you provide, asit plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure allinformation is factual and submitted on time. For any assistance, your TA SPOCis available to support you .

Ansys is looking for R&D Engineer II - Python, IOT, AI/ML, MBSE to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

STARTEK is looking for Executive - Operations to join our dynamic team and embark on a rewarding career journey Manage day-to-day operational activities Monitor and optimize workflows Ensure compliance with operational policies Collaborate with teams for continuous improvement

STARTEK is looking for Executive - Operations to join our dynamic team and embark on a rewarding career journey Manage day-to-day operational activities Monitor and optimize workflows Ensure compliance with operational policies Collaborate with teams for continuous improvement

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree in engineering, science, statistics or mathematics with a strong technical background in machine learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required . Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI ( GenAI ). Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring E xperience in mentoring and supporting junior data scientists or engineers . Experience working in a multi-cultural and multi-location organization an advantage . Team player, responsible, delivery-oriented, details-oriented , o utstanding communication skills . Good to Have Experience with applying LLMs, prompt design, and fine-tuning methods Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Knowledge of Payments industry, transaction risk domain. Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications . Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

CPU Verification Engineer THE ROLE : We are looking for an adaptive, self-motivative design verification engineer to join our growing team. As a key contributor , you will be part of a leading team to drive and improve AMDs abilities to deliver the highest quality, industry-leading technologies to market. The V erification Engineering team furthers and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. THE PERSON: You have a passion for modern, complex processor architecture, digital design, and verification in general. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/ time zone s . You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. KEY RESPONSIBILITIES: Develop/Maintain tests for functional verification and performance verification at the core level Build testbench components to support the next generation IP Maintain or improve current test libraries to support IP level testing Create hardware emulation build to verify the IP functional performance Maintain and improve current hardware emulation environment to speed up the runtime performance and improve the debug facility Provide technical support to other teams PREFERRED EXPERIENCE: Good at Assembly language and C/C++/SV/Uvm Familiarity with SystemVerilog and modern verification libraries like UVM Experience/Background on Computing/Graphics is a benefit Experience with OpenGL/OpenCL/D3D programming is a benefit ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering #LI-RG2 #LI-Hybrid

At Adobe, we are looking for a highly motivated and exceptionally skilled Member Technical Staff I to join our engineering team in Bengaluru. You will have the chance to collaborate with a wonderful team and contribute to powerful projects that make an impact globally. Key Responsibilities Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments. Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms effectively. Employ machine learning and statistical modeling techniques, such as decision trees, logistic regression, and Bayesian analysis, for the development and evaluation of algorithms aimed at improving system performance. Translate algorithms and technical specifications into flawless code using current programming languages and technologies. Perform testing, debugging, and efficiency implementation to ensure high-quality software delivery. Complete documentation and procedures for installation and maintenance of developed systems. Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations. Adapt machine learning to virtual reality, augmented reality, artificial intelligence, robotics, and other interactive products. Qualifications Proven experience in developing and programming coordinated software algorithms. Strong understanding of machine learning, statistical modeling, and deep learning technologies. Proficiency in current programming languages and technologies. Ability to work with large-scale computing frameworks, data analysis systems, and modeling environments. Outstanding problem-solving skills and attention to detail. Excellent communication and collaboration abilities to work effectively in a team-oriented environment.

Remote / Bangalore, India | Contract/Full Time + AI Curriculum Developer Apply Overview As an AI Curriculum Developer at EdVanD, you will be responsible for creating innovative, AI-powered educational content that engages students and enhances their learning experience. You will work closely with our education experts and technology team to develop curriculum materials that leverage artificial intelligence to provide personalized learning experiences. Responsibilities Design and develop curriculum content that integrates AI technology Create interactive learning materials for K-12 students across various subjects Collaborate with education experts to ensure pedagogical soundness Work with the technology team to implement AI-powered features Continuously evaluate and improve content based on student performance data Stay up-to-date with the latest educational trends and AI advancements Requirements Bachelors degree in Education, Computer Science, or related field (Masters preferred) 3+ years of experience in curriculum development or educational content creation Understanding of AI concepts and their applications in education Strong writing and communication skills Experience with educational technology platforms Passion for transforming education through technology Benefits Competitive salary Remote work flexibility Annual learning and development budget Opportunity to make a meaningful impact on education

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Overview: We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Key Responsibilities: Collect, process, and analyze large datasets from multiple sources. Build and deploy machine learning models to solve business problems. Design and implement A/B tests and statistical analyses. Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements. Communicate complex data insights in a clear and actionable manner to stakeholders. Develop dashboards and visualizations to monitor key metrics. Stay current with the latest trends and technologies in data science and AI. Required Skills & Qualifications: Bachelor s/Master s degree in Computer Science, Mathematics, Statistics, or related field Proven experience (2+ years) as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch) Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred: Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL. Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). When you join Metropolis, you ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

" Take your career to new heights with Loopio! Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam. We are on the hunt for a Staff Software Developer who thrives on solving complex challenges and is driven by curiosity. If youre passionate about building scalable, high-impact solutions and love collaborating across disciplines, this is your chance to make your mark. Youll join a dynamic team of Engineers, Product Managers, and Designers to architect and deliver cutting-edge features that power a platform used by some of the world s leading organisations. At Loopio, we value clean code, continuous improvement, and knowledge sharing. From shaping technical direction to mentoring teammates, you ll play a key role in scaling our systems and evolving our product. We re deeply collaborative whether it s pair programming, technical design reviews, or whiteboarding ideas, we believe the best solutions are built together. If you re excited by elegant architecture, thoughtful product development, and leaving things better than you found them let s build the future together. This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST. What You ll Be Doing Leading and rapidly building end-to-end features from scratch for Loopio s web platform Driving architectural decisions and system-level thinking influencing design and execution across teams. Proactively build technology to prevent bugs as they come up, because you can t stand crappy software Interact with and gather detailed feedback from our customers because you understand that creating a user-centric experience comes first Collaborate closely with our Product Managers and Product Designers in an agile environment to bring features to life and iterate on them based on our customers feedback Mentor and coach others, providing technical guidance and helping build an environment of knowledge-sharing and encouraged feedback Contributing to Loopio s AI roadmap by helping evaluate third-party models, optimising LLM integration patterns, and defining technical guidelines for AI-powered features. Comfortable leading technical design discussions and facilitating technical decision making. Experience as a technical lead is a bonus. Loopio Engineering Technology Stack: React Elasticsearch Node js PHP Python MYSQL Flask Docker Databricks Amazon Webservices Chef Terraform What You ll Bring to the Team 10+ years of professional software development experience Proven track record of designing and delivering complex software systems at scale. Experience leading architectural discussions, influencing cross-team technical decisions, and driving consensus in ambiguous situations. Strong experience in backend/API background of either PHP, Python or Java Experience in frontend development, with a solid understanding of React and JavaScript Strong understanding of database design and RDBMS such as MySQL. Proficient in using and designing RESTful APIs Mentorship to other engineers through coaching, design, and code reviews. Prior experience as a technical lead is an asset Exposure to AI technologies, particularly around LLMs (e.g., OpenAI, Claude, etc.), embeddings, or natural language processing. While deep ML expertise is not required, familiarity with integrating or working with modern AI APIs is highly valuable. Comfortable guiding technical design discussions and facilitating technical decision making A growing passion for driving processes and improving software development productivity for your team Experience designing and consuming RESTful APIs and integrating with third-party systems. Experience in the following is a plus: Typescript, AWS, Cypress, Elasticsearch, Prior work in building or integrating intelligent features, such as semantic search, RAG and integration with third-party apps Where You ll Work Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru). Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration. You ll collaborate with your teams virtually across the UK, India, and North America (we re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday We encourage asynchronous collaboration to effectively work as a global #OneTeam! Why You ll Working at Loopio Your manager supports your development by providing ongoing feedback and regular 1-on-1s; we leverage Lattice for our 1:1s and performance conversations You will have the opportunity to elevate your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact. We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1 with Loopio. We ll set you up to work remotely with a MacBook laptop , a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up. You ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment. Participate in townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam! Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round. You ll be a part of an award-winning workplace with an opportunity to make a big impact on the business. Questioning your qualificationsRead this Hi there, we recognize that all too often, potential candidates don t apply for a position simply because they don t hit every single criteria included in the job description particularly members of underrepresented groups . Whether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few!), you re self taught in a new role, or you have skills/experience you d like to highlight, we want to hear more about what you could bring to the table. AI in Recruitment At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer.

Job Title: AI Engineer GenAI & ML Solutions Location: Pune / Mumbai (Hybrid Work Model) Experience: 2 4 Years (Minimum 2 Years in AI Development) Industry: Credit Rating & Financial Analytics About Us: Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state of the art solutions. As we embark on our next growth phase, we re looking for a passionate AI Engineer to propel our AI capabilities into the future redefining how financial intelligence is powered and delivered. Why Join Us Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques. Collaborate with dynamic global teams spanning finance, technology, and client solutions. Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes. Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. What You ll Do: Develop and deploy advanced AI solutions using the latest Generative AI techniques including: Retrieval-Augmented Generation (RAG) pipelines. Designing and building Agentic AI systems to automate complex decision-making workflows. Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. Build scalable AI workflows, adhering to robust engineering and code quality standards. Lead end-to-end AI solution development lifecycle from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). Collaborate closely with cross-functional global teams financial analysts, technology architects, and client stakeholders to translate business challenges into AI-driven solutions. Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. What We re Looking For: Experience & Skills: 4 to 7 years of experience in software engineering/development with a minimum 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM. Strong programming skills in Python with a focus on clean, maintainable, and performant code. Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. Having a public Github code repository or Kaggle profile will be a big plus. Solid understanding of data structures, algorithms, software design principles, and scalable system design. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. Decent communication skills to effectively collaborate across global teams and handle client interactions. Self-driven, proactive mindset with a passion for problem-solving and innovation. Educational Background: - Bachelor s or Master s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science - Any Engineering discipline - Mathematics or related quantitative fields.

Roles and Responsibilities The role of Delivery Manager is crucial for ensuring the successful delivery of projects and services to clients. It requires a combination of leadership, project management, communication, and technical skills. This position is responsible for overseeing the delivery of projects and services to clients, ensuring that they meet the agreed-upon quality standards, timelines, and budgets. Below is an overview of the key responsibilities, required skills, and qualifications for the role of Delivery Manager. Leading a large team with complete P&L ownership, servicing multiple engagements with varied offerings. Actively supporting sales teams in new logo acquisition and solutions teams in designing innovative solutions to business needs. Networking with senior stakeholders in the region and positioning the company as a partner of choice. Lead the overall strategy for Engineering teams in India and oversee future growth. Leading pricing strategies, contract renewals and driving P&L in long term deals. Monitor risks throughout the project lifecycle and adjust plans as necessary. Strong organizational and multitasking abilities. Qualifications Required Minimum 18 - 20 years of experience in IT Product Services & from Computer Engineering / Computer Science background. Skills and Experience Required Must have handled large projects in cloud applications, with different verticals / industries. Must have grown & driven offshore and Headcount> 200 employees in offshore. Proven experience in high volume ramp-ups of teams. Proven & experience in client management, coordination, and negotiation skills. Must have the ability to connect closely with the customer, mine and penetrate customers. Cross sell enhancements or value adds to bring in new business from existing clients. Proven experience in Delivery Management for cross& next-gen skills and projects, using methodologies such as Agile (SCRUM, Feature Driven, Lean, etc.) Preferred expertise in Java, Spring, Hibernate, Web Services, Cloud, Microservices Must be well-read/versed in NextGen technologies such as Digital, Cloud, Analytics, Big Data, AI-ML etc. Proven experience in Pre-Sales & Solutioning for deals, RFPs/RFIs, proposals, etc. Strong P&L & Operational Management experience. Strong People Management, Mentoring and leadership skills. Excellent written, spoken and presentation skills.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learningmodels used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards forgenerative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored tobusiness needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generativemodels in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, andscalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis onexplainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 2-5 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically withtransformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Roles and Responsibilities Develop and maintain on-device AI benchmarks for MacOS using the MLX framework. Port existing LLM benchmarks (phi, Mistral, LLaMA2/3) from Windows to MacOS. Create CoreML versions of selected computer vision models and perform quantization for various data types and hardware targets (CPU, GPU, Neural Engine). Design and prototype local fine-tuning benchmarks, including data preparation, parameter selection, and training strategy evaluation. Work with on-device AI accelerators (e.g., Apple CoreML, ONNX Runtime, TensorRT, OpenVINO, SNPE). Maintain, extend, and optimize benchmarks for future and unreleased hardware platforms across Windows, Mac, mobile, and embedded devices. Collaborate with hardware and software teams to refine benchmark design and test coverage. Analyze model performance, document findings, and suggest optimization strategies. Communicate progress and findings effectively in English to internal stakeholders. Qualifications Required Bachelors degree in computer science or related field. Minimum of 5 years & experience in software design and development. Demonstrated experience in AI model development and deployment. Skills and Experience Required Strong coding expertise in Python, C++, and C. Deep understanding of deep learning frameworks: TensorFlow, PyTorch. Experience working with local/on-device inference engines such as: Apple CoreML (preferred) ONNX Runtime NVIDIA TensorRT Intel OpenVINO Qualcomm SNPE Familiarity with open-source model repositories like Hugging Face. Proven experience in all stages of the software development lifecycle from prototyping to optimization. Solid debugging and problem-solving skills. Excellent communication skills in English.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 12 - 16 Years of experience in machine learning, with 8+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Langchain, GPT-4, Sagemaker/Bedrock Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

Java + AI/ML role required with at least 6+ years of industry experience on Java, Spring Boot, Spring Data & at least 2 years of AI/ML project / professional experience. Strong experience in building and consuming REST APIs and asynchronous messaging (Kafka/RabbitMQ). Working experience in integrating AI/ML models into Java services or calling external ML endpoints (REST/gRPC). Understanding of ML lifecycle: training, validation, inference, monitoring, and retraining. Familiarity with tools like TensorFlow, PyTorch, Scikit-Learn, or ONNX. Prior experience in domain-specific ML implementations (e.g., fraud detection, recommendation systems, NLP chatbots) Experience working with data formats like JSON, Parquet, Avro, and CSV. Solid understanding of database systems both SQL (PostgreSQL, MySQL) and NoSQL (Redis). Integrate machine learning models (batch and real-time) into backend systems and APIs. Optimize and automate AI/ML workflows using MLOps best practices. Monitor and manage model performance, versioning, and rollbacks. Collaborate with cross-functional teams (DevOps, SRE, Product Engineering) to ensure seamless deployment. Exposure to MLOps tools like MLflow, Kubeflow, or Seldon. Experience with any 1 of the cloud platforms, preferably AWS & Knowledge of observability tools & its metrics, events, logs, and traces (for e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics, etc..).

Role & Responsibilities: Should be able to code in Python and work with simple to complex SQL Work as independent contributor in building AI solutions using latest tech stack. Should be able to research, learn and implement latest models in AI and GenAI Identify, analyse, and interpret trends or patterns in complex datasets. Collaborate with team, to prioritize business and information needs. Serve as a consultant for clients nationwide. Identify and define process improvement opportunities. Excellent problem-solving ability and verbal communication. Experience Atleast 3 years of relevant experience in Building AI solutions. Proficiency in programming languages such as Python, FastAPI, SQL or PySpark(good to have) Experience in developing conversational AI or virtual assistant applications. Proven experience in building and deploying applications using LLMs like OpenAI GPT-4o, Claude, Llama, Grok, Gemini or similar Hands-on experience in building GenAI Applications. Good to have working experience in building Agentic AI applications. Familiarity with acquiring and managing huge and complex data from various sources, including structured and unstructured data sources. Extensive experience with Cloud platforms, particularly Microsoft Azure. Knowledge of natural language processing (NLP) and information retrieval Have knowledge and hands-on experience with LangChain Framework, Azure OpenAI, Azure AI Search Service, Indexing, and Embedding techniques Good to have Application development experience using AI models and API integrations. Hands-on experience in AI, ML and Deep Learning algorithms like Regression, Decision Trees, Neural networks Experience in working with Azure Cosmos DB, Azure Blobs, Azure Functions, and App Service

About The Role Financial PlanningPrepare monthly Forecasts & Actuals as well as annual Budgets on various P&L as well as other KPIs lines, followed by system upload and checks. Financial ReportingPrepare and distribute regular financial reports, dashboards, and commentaries to management, highlighting key performance metrics and trends (variance vs. Budget / Forecast;sequential evolution; relational ratios, Business Mix etc.) Financial AnalysesConduct variance analysis between actual results/latest forecast and budget/previous forecast and provide explanations for key variances. Provide analytical support to management for strategic initiatives and operational improvements. Data ManagementEnsure accuracy and integrity of financial data through validation and reconciliation processes. Event SupportSupport other events like Business Reviews, 3 Year Plans OR any other ad-hoc requirements to address specific business questions or challenges. Cross-functional CollaborationInteract & collaborate with different upstream & downstream teams within Finance as well as other functions like Sales, Operations, HR, etc., for various data inputs, clarifications as well as reconciliations. Governance and ComplianceEnsure adherence to internal controls & other governance aspects (like updated SOPs, validation checks in reports) Primary Skills 1 to 4 years of core experience inFinance Planning & Analysis (FP&A) Budgeting, Forecasting, Variance Analysis, P&L management Basic knowledge of Financial Processes & financial statements Basic understanding of P&L and various KPI levers impacting P&L Good working knowledge of Microsoft Office tools, specifically MS Excel, MS PowerPoint Willing to work in UK/ afternoon shift (IST 12pm to 9.30pm) Secondary Skills Excellent communication, articulation & presentation skills. Growth mindset & problem-solving attitude. Pro-active & flexible approach - adaptive to work with different scenarios & people.

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise. Required Candidate profile ML engineer with 5+ years in computer vision and AI-driven CAD. Skilled in Python, TensorFlow, PyTorch, OpenCV. Delivers production models. Self-driven, team-oriented, thrives in fast-paced roles.

Role: AI Solutions Architect - R&D Vacancies: 11 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

Leads systems analysis and design- Leads design and development of applications- Develops and ensures creation of application documents- Defines and produces integration builds- Monitors emerging technology trends- Leads maintenance and support- Primary Skills Mastery of Core Java concepts and Java EE- Extensive experience with Spring and Spring Boot- Expert with CI/CD code automation and DevOps Expert with OpenShift Good experience with GCP Experience with Machine Learning Artificial Intelligence Strong understanding of software architecture and design principles- Ability to design scalable, maintainable, and efficient Java -Net applications- Understanding of data structures, programming logic, and design Understanding of application design patterns Excellent written verbal communication skills Excellent attention to detail Secondary Skills Experience using ArgoCD Expert with Structured Query Language (SQL) Experience using Angular Experience using OAuth/OIDC Qualifications 12+ years of experience Bachelor s Degree or International equivalent

This position performs duties and tasks to support full systems life cycle management (e-g-, analysis, technical requirements, design, coding, testing, implementation of systems and applications software, etc-)- He/She performs tasks within planned durations and established deadlines- This position collaborates with teams to ensure effective communication and support the achievement of objectives- He/She provides development, maintenance, and support for applications- Responsibilities: 2+ years experience as Full stack developer with Java, Oracle and Angular- Devops and Agile project experience is a plus- Exposure with OpenShift, GCP, Machine Learning Artificial Intelligence is a plus- Assists with Information Systems projects- Assists in system analysis and design- Designs and develops low to moderately complex applications- Generates application documentation- Supports integration builds- Assists with maintenance and support- Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred

Perform systems analysis and design- Design and develop moderate to complex applications- Develops and ensures creation of application documents- Defines and produces integration builds- Monitors emerging technology trends- Primary Skills Experience with core Java concepts and Java EE- Experience with Spring and Spring Boot- Experience with CI/CD code automation and DevOps Experience with OpenShift Experience with GCP Experience with Machine Learning Artificial Intelligence Good understanding of software architecture and design principles- Ability to design scalable, maintainable, and efficient Java -Net applications- Understanding of data structures, programming logic, and design Understanding of application design patterns Excellent written verbal communication skills Excellent attention to detail Secondary Skills Experience using ArgoCD Expert with Structured Query Language (SQL) Experience using Angular Experience using OAuth/OIDC Qualifications 3+ years of experience Bachelor s Degree or International equivalent

This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams- This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization- This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions- This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale- RESPONSIBILITIES The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine- They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application- They are also going to need to be on call on weekends to bring the application back online in case of failure- Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models- Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization- Designs workflows and analysis tools to streamline the development of new ML models at scale- Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles- Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field- Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems- QUALIFICATIONS Requirements: A bility to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs- Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment- Familiarity in Machine Learning and Artificial Intelligence frameworks (i-e-, Keras, PyTorch), libraries (i-e-, scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems- Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills- Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features- Experience with scalable data processing, feature development, and model optimization- Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models- Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory- Works collaboratively, both in a technical and cross-functional context- Strong written and verbal communication- Bachelors (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc-), international equivalent, or equivalent job experience

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, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience AWS, Spark, SQL and the AWS cloud ecosystem Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Strong programming skills in PySpark and SparkSQL and In-depth knowledge of Big Data and data warehousing concepts 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 Snowflake- Exposure to cloud technologies such as AWS Hudi, S3, Lambda, etc