18 Aiml Algorithms Jobs

As the Lead AI Architect, you will be responsible for leading the design, development, and deployment of robust AI and Generative AI systems that can scale efficiently for high-traffic applications. Your role will involve architecting scalable and fault-tolerant AI systems, optimizing for performance during peak load times and user growth. With at least 7 years of experience in AI system architecture, you will leverage your strong background in designing and deploying large-scale AI and Gen AI systems. Your proven expertise in architecting systems for high availability and scalability, including managing applications with peak usage and millions of users, will be key to your success in this role. You will demonstrate extensive experience with cloud platforms such as AWS, Azure, and GCP, and excel in scaling AI applications using cloud-native tools and services. Proficiency in AI/ML algorithms, deep learning, and the deployment of AI models in production environments is essential. Your strong coding skills in Python, TensorFlow, PyTorch, and other relevant AI technologies will be instrumental in your day-to-day tasks. Experience with distributed systems, microservices architecture, and containerization technologies like Docker and Kubernetes will also be beneficial. In this role, your problem-solving skills will be put to the test as you troubleshoot complex scaling issues under high-load conditions. Your proven ability to lead teams, collaborate with stakeholders, and deliver AI-driven solutions will be crucial in meeting project objectives. Ideally, you will hold a Masters or PhD in Computer Science, AI, or a related field to complement your practical experience in the field. Join us in Gurgaon or Bangalore and be part of a dynamic team that is at the forefront of cutting-edge AI technology.,

Join Piatrika Biosystems as a Quantitative Geneticist and contribute to cutting-edge technology in next-generation plant breeding and field trial solutions. Your role will involve developing advanced analytics to drive data-driven decisions in our breeding programs. By applying quantitative and population genetics, genomics, and AI/ML models, you will accelerate genetic gain and optimize breeding strategies. Collaborating with multi-disciplinary teams, you will deliver precise, automated methodologies to enhance breeding processes and fast-track seed discovery. Your key responsibilities will include providing expertise in quantitative genetics, genomics, and plant breeding, implementing genomic prediction analysis, developing tools and protocols, building models for germplasm characterization and SNP analysis, integrating new technologies into existing analytics pipelines, collaborating with breeders, data scientists, and software engineers, assessing and improving analytics capabilities, and partnering with IT to design and deploy scalable analytics solutions. To excel in this role, you should have a Doctorate in Genetics, Plant Breeding, or related fields, a strong foundation in quantitative genetics, genomics, and statistical modeling, experience with large datasets using Perl, Linux, Unix; C/C++ knowledge is a plus, proficiency in R, Python, Julia, knowledge of genomic selection and GWAS, familiarity with AI/ML algorithms for predictive breeding, understanding of agile methodologies and software quality assurance, strong communication skills, and awareness of agricultural R&D trends. Critical experience required includes applying data science in R&D environments, effective collaboration in multi-disciplinary teams, scientific achievements (publications, patents, etc.), end-to-end modeling from development to deployment, and working with IT to build and support analytics applications. Personal attributes such as passion for innovation in plant breeding and genetics, strong problem-solving and analytical skills, results-oriented with a collaborative mindset, ability to simplify complex concepts, and focus on impactful outcomes, as well as adaptability and cross-functional collaboration are essential. By joining Piatrika Biosystems, you will have the opportunity to bridge the gap between scientific research and commercial breeding, utilize AI/ML and genomic analytics to accelerate seed discovery, work on transformative projects, co-develop breeding solutions, and impact global agriculture and sustainability goals. Apply now to be a part of the innovation at Piatrika Biosystems.,

As a Cognitive SON Architect with over 10 years of experience, you will play a crucial role in designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. Your primary responsibility will involve collaborating with cross-functional teams to create and deploy intelligent network automation tools that leverage machine learning, artificial intelligence, and advanced analytics. The ultimate goal is to deliver innovative solutions that optimize the operation and evolution of modern mobile networks, with a particular focus on 5G and beyond. Your key responsibilities will include defining the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks like self-healing, self-optimization, and self-configuration. You will develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, addressing complex network optimization challenges. Working on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands, including interference management, load balancing, and energy efficiency, will also be part of your role. Collaborating with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context is essential. Additionally, you will lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. Close collaboration with product managers, engineers, and stakeholders is crucial to ensure the successful delivery of Cognitive SON features and align solution development with business goals. To excel in this role, you should hold a bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. Your experience should demonstrate a strong background in network architecture, SON, or AI/ML applications within telecommunications. Proficiency in network optimization, particularly in RAN, 5G, or related technologies, as well as experience with Cognitive SON technologies, automation, and self-optimizing networks, is highly desirable. Technical expertise required for this role includes strong programming skills in languages such as Python, Java, and Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods is essential, along with in-depth knowledge of RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and software-defined networking (SDN) will be advantageous. This is a permanent role with the benefit of working from home. The schedule is a day shift from Monday to Friday, with a performance bonus included. In summary, as a Cognitive SON Architect, you will drive the design and implementation of AI-driven solutions to enhance telecommunications networks" performance, scalability, and self-management. Your expertise in AI/ML techniques, network optimization, and Cognitive SON technologies will be instrumental in delivering innovative solutions that meet the evolving needs of modern mobile networks, especially in the era of 5G technology and beyond.,

A career at HARMAN Automotive offers you the opportunity to be part of a global, multi-disciplinary team dedicated to leveraging technology to shape the future. Transform tomorrow with us by engineering audio systems and integrated technology platforms that enhance the driving experience. At HARMAN Automotive, we empower you to fast-track your career by combining ingenuity, in-depth research, and collaboration with design and engineering excellence to advance in-vehicle infotainment, safety, efficiency, and enjoyment. In this role, you will join the HARMAN EPIC (Early Pursuits with Innovative Concepts) team, where your passion for embedded software development is essential. You will contribute to hands-on tasks focusing on lighting solutions using Node-RED, AI/ML algorithms, and embedded integration activities. Your responsibilities include developing innovative ideas for branded audio systems, performing embedded software development, designing illumination features with Node-RED, exploring AI/ML algorithms, integrating features from other concepts, and supporting testing activities. Additionally, you will assist in debugging, system bring-ups, software flashing, DSP tasks, and collaborate with local and global teams within the EPIC organization to ensure successful project handovers. To excel in this role, you should have a minimum of one year of experience in embedded software development, proficiency in languages such as C/C++, JavaScript, and Java/Kotlin, and familiarity with native Android application development using Kotlin and Jetpack Compose. A passion for software development, quick learning ability, and experience with IoT development using Node-RED are advantageous. Furthermore, possessing a bachelor's degree in an engineering field, strong English communication skills, and good analytical abilities are beneficial. As part of the HARMAN team, you will enjoy a flexible work environment, access to employee discounts, extensive training opportunities, wellness benefits, tuition reimbursement, employee recognition programs, and an inclusive work culture that encourages personal and professional growth. HARMAN is dedicated to creating an environment where every employee feels welcomed, valued, and empowered to share their ideas and unique perspectives. We are committed to lifelong learning and offer various opportunities for training, development, and continuing education to help you thrive in your career. Join us at HARMAN, where innovation drives next-level technology across automotive, lifestyle, and digital transformation solutions. Our legacy of amplifying sound since the 1920s continues through integrated technology platforms that make the world smarter, safer, and more connected. With a focus on creating extraordinary experiences, our renowned automotive and lifestyle solutions under brands like JBL, Mark Levinson, and Revel set high engineering and design standards for our customers, partners, and employees. If you are ready to make a lasting impact through innovation and join a dynamic talent community, we invite you to be a part of our team at HARMAN Automotive.,

Located in Washington State, DigiTech Labs assists businesses in evolving through specialized data and technology transformations. We craft scalable strategies for healthcare, retail, finance, and high-tech industries. Our focus includes value-based healthcare, profitable growth in retail and e-commerce, sustainable growth in financial services, and hi-tech product innovation. Our "delivering with a lab mindset" approach highlights our commitment to innovation and providing efficient technology solutions. We seek to connect with partners to deliver value-based care, hyper-automation, and digitization solutions. This is a full-time hybrid role for a Fullstack Developer with AI/ML at DigiTech Labs. The position is based in Hyderabad, with some remote work permissible. The Fullstack Developer will be involved in both back-end and front-end web development, software development, and full-stack development. Day-to-day responsibilities will include developing and maintaining applications, collaborating with cross-functional teams, and implementing AI/ML features to enhance our products. Design, develop, and maintain both front-end and back-end components of scalable web applications, incorporating AI-powered tools for rapid prototyping, code generation, and performance analysis. Implement user interfaces using modern JavaScript frameworks such as React and Angular, leveraging AI-driven design assistants to ensure accessibility, responsive design, and cross-browser compatibility. Develop server-side logic and services aligned with microservices architecture principles, using AI to optimize service orchestration, anomaly detection, and automated performance tuning. Build and integrate application components and external services, using AI models to streamline API integration, error handling, and semantic data mapping. Design and optimize data models using Cosmos DB, Azure Data Factory (ADF), and Kusto (KQL), incorporating AI/ML capabilities for advanced analytics, forecasting, and data anomaly detection. Implement and maintain CI/CD pipelines using Azure DevOps or GitHub Actions, applying AI to enable intelligent test selection, automated bug triaging, and release validation. Deploy applications and services on the Azure cloud platform, using AI-based monitoring tools to proactively identify issues, optimize resource utilization, and enhance security posture. Collaborate with designers, product managers, and other engineers to translate business requirements into technical solutions, supported by AI-driven requirement analysis, user behavior insights, and feature impact prediction. Conduct code reviews and write unit/integration tests, utilizing AI-assisted code review tools and test generation frameworks to improve coverage, quality, and compliance with Microsoft coding and security standards. Document system designs, APIs, and processes using AI-powered documentation tools to ensure clarity, consistency, and ease of onboarding. Qualifications: - Back-End Web Development and Full-Stack Development skills - Front-End Development and Cascading Style Sheets (CSS) skills - Software Development experience - Knowledge of AI/ML algorithms and libraries - Strong problem-solving and analytical skills - Excellent communication and teamwork abilities - Bachelor's degree in Computer Science, Engineering, or related field - Experience with healthcare technology or data analytics is a plus,

You are a Python Developer/Backend Developer (AI/ML knowledge preferred) with expertise in software development and a keen interest in artificial intelligence and machine learning. At EXL, you will work on diverse projects, collaborating with cross-functional teams to deliver high-quality solutions. While AI/ML knowledge is considered an asset, it's not mandatory for the role. Your responsibilities will include developing and maintaining scalable Python applications, integrating AI/ML components into software solutions, implementing AI/ML algorithms using Python-based libraries, participating in code reviews and testing, and staying updated on emerging AI/ML technologies. You will also work closely with data engineers to access and analyze data for AI/ML model development and document code and best practices for knowledge sharing within the team. To qualify for this role, you should have a degree in computer science or a related field, strong proficiency in Python programming language and AWS Cloud, familiarity with software development methodologies, and an understanding of AI/ML concepts. Experience with ML frameworks like Tensor and Scikit, Azure Cloud, SQL and NoSQL databases, REST APIs, and Python frameworks like FastAPI, Flask, and Django is preferred. You should also have expertise in working with large datasets, data analysis with Pandas and NumPy, and Python ORM libraries. While prior experience in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer seeking to expand your skills and contribute to exciting projects, we invite you to apply and join our dynamic team at EXL.,

The Nasdaq Corporate Platform is seeking a dedicated Test Automation Specialist (AI) with expertise in software testing for AI based products to join the Bangalore technology center in India. If you are driven by innovation and effectiveness, this opportunity is perfect for you! As a Test Automation Specialist (AI), you will be instrumental in delivering complex technical systems to customers and exploring new technologies within the FinTech industry. Your role will involve testing, developing test strategies, and executing tests for AI based products related to Investor Relations and Sustainable Lens Software Products. Joining the engineering team in Bangalore, you will collaborate with a group of passionate professionals to build innovative IR and ESG solutions for corporates. Your responsibilities will include enhancing products, supporting rearchitecture, and adopting new software paradigms. Key Responsibilities: - Design and implement automated testing frameworks for generative AI models - Create testing strategies to validate AI-generated content quality, coherence, and safety - Collaborate with AI researchers, data scientists, and product developers - Develop tools for generating diverse test data sets and simulating real-world AI scenarios - Implement automated tests for engineering processes and model versioning - Analyze test results and provide detailed reports on model performance and improvements Qualifications: - Bachelor's or Master's degree in Computer Science, AI/ML, or related field - 2-4 years of experience in software test automation, with a focus on AI/ML systems - Proficiency in Python programming - Strong understanding of AI/ML algorithms and testing tools - Experience in AI-driven application testing and model performance validation Preferred Qualifications: - Experience with cloud platforms like AWS for AI deployment - Knowledge of containerization tools such as Docker and Kubernetes - Familiarity with vector databases At Nasdaq, we foster a culture of innovation and empowerment, where individuals are encouraged to challenge the status quo and take intelligent risks. We value diversity and strive to create a supportive and connected work environment. If you are passionate about technology and ready to make an impact, we invite you to apply for this exciting opportunity. Please submit your application in English at your earliest convenience, as the selection process is ongoing. We look forward to connecting with you within 2-3 weeks. Nasdaq is a global leader in trading, exchange technology, and public company services, with a commitment to innovation and excellence. Join us on our mission to reshape tomorrow's markets and drive positive change in the world of finance.,

We are seeking a highly skilled Senior Python Developer with expertise in Python frameworks and experience in AI/ML model development. The ideal candidate will have a strong passion for developing scalable applications, working with data-driven systems, and implementing intelligent solutions. Responsibilities include designing, developing, and maintaining scalable Python applications, utilizing Python frameworks such as Django, Flask, and FastAPI, as well as integrating AI/ML models into production systems. The candidate will be expected to write clean, efficient, and reusable code following best practices, collaborate with cross-functional teams, debug, optimize, and ensure high performance of applications, and stay updated with emerging technologies in the AI/ML and Python ecosystem. Required Skills & Qualifications: - 3-5 years of professional experience in Python development - Strong knowledge of Python frameworks (Django, Flask, FastAPI) - Experience with AI/ML algorithms and libraries (TensorFlow, PyTorch, Scikit-learn) - Hands-on experience with REST APIs, SQL/NoSQL databases - Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus - Good understanding of software development best practices (Agile, Git, CI/CD) - Strong problem-solving skills and ability to work independently This is a full-time position based in the Silver Trade Center, Utran Surat. The job type is full-time and the work location is in-person. The schedule is a day shift and the required experience includes 3 years in Python and 1 year in AI/ML. The location requirement is Surat, Gujarat.,

As a Product Strategy & Roadmap professional, your primary role will be to define and prioritize the software product roadmap in alignment with overall company goals, customer needs, and market trends. You will collaborate with stakeholders such as customers, engineers, and designers to define software requirements to ensure that the software meets both functional and non-functional needs of the robotic system. Your responsibilities will also include leading and collaborating with cross-functional teams comprised of software developers, hardware engineers, designers, and QA teams to deliver high-quality software solutions. You will oversee the integration of AI/ML algorithms (e.g., computer vision, SLAM, autonomous navigation) into the software systems for robotics applications. It will be crucial for you to ensure that the software supports real-time performance requirements for control, motion planning, and sensor integration within the robotics system. You will advocate for an intuitive and seamless user experience for robotic software, ensuring that user interfaces (UI) and interactions are easy to understand and use. Additionally, you will define and implement software testing strategies, including unit tests, integration tests, and system-level validation to ensure software stability, scalability, and security. You will continuously analyze software performance metrics and user feedback to improve features, scalability, and overall product quality. Furthermore, you will maintain thorough and clear documentation for software specifications, technical requirements, and user-facing documentation. You will utilize Agile methodologies (e.g., Scrum) to manage product development, track progress, and iterate on software features. It will be essential for you to gather user feedback from customers and end-users to ensure that the software meets real-world use cases and pain points. You will also need to keep up-to-date with the latest trends in robotics software, AI, and automation, conduct competitive analysis, and identify opportunities for differentiation. Risk management will be a critical aspect of your role, as you will need to identify and mitigate potential risks related to software development, including security vulnerabilities, software integration challenges, and scalability issues. You will collaborate closely with hardware teams to ensure seamless integration of software with hardware components, including sensors, actuators, and control systems. Key Skills required for this role include product strategy, requirements definition, customer feedback loop, AI/ML integration, competitive analysis, cloud-based robotics platforms, documentation, integration, cloud computing, risk management, product management, agile process management, software testing & validation, AI/ML algorithms, real-time operating, cross-functional collaboration, continuous improvement, robot operating system, user experience, collaboration with hardware teams, and robotic applications.,

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

As an experienced and dynamic AI Solutions Architect, you will be leading and managing AI-driven projects, focusing specifically on large language models (LLMs). Your role will require a combination of technical expertise in AI/LLM technologies and strong project management skills to ensure the successful delivery of high-impact solutions to clients and stakeholders. Your responsibilities will include leading AI/LLM-based projects from concept to deployment, collaborating with product teams to define project scope, creating and maintaining detailed project plans, driving project strategies, overseeing the design, development, and deployment of AI/LLM solutions, providing technical leadership when necessary, and ensuring alignment with industry best practices and business goals. You will also be expected to stay updated with advancements in AI and LLM technologies, act as a key point of contact between clients, product, and engineering teams, facilitate communication between technical and non-technical stakeholders, manage client expectations, identify and mitigate risks, resolve roadblocks, ensure quality control, monitor project progress, and drive continuous improvement in AI/LLM project management processes. To qualify for this role, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field, along with at least 5 years of experience in project management focusing on AI or LLM technologies. You should have demonstrated experience in managing cross-functional teams, delivering complex AI/ML or LLM projects on time and within budget, and a strong understanding of AI/ML algorithms, LLMs, and NLP techniques. Additionally, proficiency in AI/LLM development tools, frameworks, and platforms, familiarity with cloud computing platforms and programming languages commonly used in AI/ML development, strong organizational and problem-solving skills, exceptional communication and stakeholder management skills, and relevant certifications or experience in scaling AI/LLM solutions in real-world applications would be preferred qualifications. Overall, this role requires a blend of technical expertise, project management skills, stakeholder management, and a commitment to delivering high-impact AI solutions to clients and stakeholders.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

As a GenAI Model Developer, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data in order to make predictions and recommendations. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Collaboration with software engineers to integrate Generative AI models into production systems will be a key aspect of your role. You should be able to evaluate application cases and the problem-solving potential of AI/ML algorithms, ranking them according to their likelihood of success. This will involve comprehending data through exploration and visualization, as well as identifying discrepancies in data distribution. Working with both structured and unstructured data, you will develop various algorithms based on statistical modeling procedures and build scalable machine learning solutions for production. Leveraging cloud platforms for training and deploying large-scale solutions, with a preference for AWS, will also be part of your responsibilities. You should have a working knowledge of managing the ModelOps framework and understand CI/CD processes for product deployment. Collaborating with data engineers to build data and model pipelines, ensuring accuracy, will be essential. You are expected to take complete ownership of assigned projects and have experience working in Agile environments. Proficiency in tools such as JIRA or equivalent project tracking tools is required to succeed in this role.,

About the Role: As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will work in close collaboration with cross-functional teams to build and deploy intelligent network automation tools leveraging machine learning, artificial intelligence, and advanced analytics. The goal is to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, particularly focusing on 5G and beyond. Requirements Skills & Qualifications: Education: A bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. Experience: Proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. Strong background in network optimization, particularly in RAN, 5G, or related technologies. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. Technical Expertise: Strong programming skills in languages such as Python, Java, Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods. In-depth knowledge of RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. Desirable Skills: Familiarity with network orchestration and management tools (e.g., NFV, SDN). Experience with programming languages such as Python, Java, or similar, used for AI/ML solutions. Hands-on experience with tools like TensorFlow, PyTorch, or other machine learning frameworks. Knowledge of 5G and future mobile network standards (e.g., 3GPP, O-RAN). Skills: Strong problem-solving abilities and a passion for developing innovative solutions. Excellent communication skills to work with cross-functional teams and stakeholders. Ability to understand and translate business requirements into technical solutions. Key Responsibilities: Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands. This includes interference management, load balancing, and energy efficiency. AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points.,

About the Role: As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. Your main focus will be to work closely with cross-functional teams to build and deploy intelligent network automation tools using machine learning, artificial intelligence, and advanced analytics. Your goal will be to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, with a particular emphasis on 5G and beyond. Requirements Skills & Qualifications: - Education: A bachelors or masters degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. - Experience: You should have proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. A strong background in network optimization, especially in RAN, 5G, or related technologies, is required. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. - Technical Expertise: You should have strong programming skills in languages like Python, Java, and Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods is essential. In-depth knowledge of RAN technologies, 5G, and network management protocols is a must. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. - Desirable Skills: Familiarity with network orchestration and management tools (e.g., NFV, SDN), experience with programming languages such as Python, Java, or similar for AI/ML solutions, hands-on experience with tools like TensorFlow, PyTorch, or other machine learning frameworks, and knowledge of 5G and future mobile network standards (e.g., 3GPP, O-RAN) are desirable. Skills: - Strong problem-solving abilities and a passion for developing innovative solutions. - Excellent communication skills to collaborate with cross-functional teams and stakeholders. - Ability to understand and translate business requirements into technical solutions. Job responsibilities Key Responsibilities: - Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. - Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. - Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands, including interference management, load balancing, and energy efficiency. - AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. - End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. - Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. - Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. - Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points. What we offer Culture of caring: At GlobalLogic, we prioritize a culture of caring where people come first. You'll experience an inclusive culture of acceptance and belonging from day one, building meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development: We are committed to your continuous learning and development, offering many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. Interesting & meaningful work: As part of our team, you'll have the chance to work on impactful projects that matter, engaging your curiosity and creative problem-solving skills. Balance and flexibility: With various career areas, roles, and work arrangements, you can explore ways to achieve the perfect balance between work and life. High-trust organization: Joining GlobalLogic means being part of a high-trust organization where integrity is key, ensuring a safe, reliable, and ethical global company. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences since 2000. Collaborating with clients worldwide, we transform businesses and redefine industries through intelligent products, platforms, and services.,

The ideal candidate will be responsible for gathering business challenges and documentation, collating and interpreting data, analyzing results using statistical techniques and tools. You will work with the team to prioritize business and information needs and present solutions and insights regarding the data. It will be your role to analyze data for trends and interpret data and patterns with a clear objective in mind. You should have an interest in working in a startup culture/ecosystem with a willingness to learn and a never-die attitude. The ability to work independently as well as part of a team is essential. Knowledge in AI/ML algorithms, working with large datasets and big data tools is required. Proficiency in SQL, Python, Excel functions, data concepts, and an in-depth understanding of modeling techniques is a must. Familiarity with NLP, LLM, Generative AI, and data visualization is preferred. Strong logical and problem-solving skills are necessary for this role. This is a full-time position with a day shift schedule and an in-person work location.,

This is a full-time position with D Square Consulting Services Pvt Ltd based in Bangalore and requires 6-8 years of experience. The work mode for this role is Onsite and the candidate who can join within 15 days may only apply. As an AI/ML Engineer, you will be responsible for leading the end-to-end design, development, and deployment of advanced AI/ML solutions for digital marketing and analytics. Your role will involve driving innovation, leveraging cutting-edge techniques, and standardizing multi-cloud model deployment through collaboration to deliver profound data insights. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with an emphasis on quantitative methods. Additionally, you should possess 6-7 years of experience in software engineering with expertise in the full lifecycle of ML model development, deployment, and operationalization. Your ability to write robust, efficient, and scalable Python, Java, Spark, and SQL code following industry best practices is crucial. You should have extensive experience with major ML frameworks such as TensorFlow, PyTorch, Scikit-learn, advanced deep learning libraries, and strong knowledge of diverse ML algorithms. Experience in deploying and managing AI/ML models on major cloud platforms like Azure, AWS, GCP is required. Experience with LLMs and generative AI is highly desirable. In this role, you will lead cross-functional teams to deliver and scale complex AI/ML solutions, architect, design, develop, train, and evaluate high-performance AI/ML models. You will drive implementation, deployment, and maintenance of AI/ML solutions, oversee data exploration, preprocessing, feature engineering, and data pipeline development. Furthermore, you will establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models, collaborate with senior stakeholders to translate business requirements into scalable AI solutions, and champion the adoption of the latest AI/ML technologies and best practices. Your problem-solving skills, communication abilities, and experience in classification, time series forecasting, customer lifetime value models, LLMs, and generative AI from Retail, eCommerce, or CPG industry will be beneficial in this role. Join us in fostering innovative thinking and continuous improvement in AI/ML technologies to maximize business value.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. If you are keen to work on analytical problem-solving, then working in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients would be a great fit for you. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress is a key responsibility. You will also develop client relationships and serve as an offshore key point of contact for the project/account(s). Communication of results to clients and onshore counterparts/team members is essential. Additionally, helping organizations to understand best practices around advanced solutions and providing advice on strategies will be part of your role. Consistently delivering quality client services and driving high-quality work products within expected timeframes and budget is crucial. Interpreting and analyzing both qualitative and quantitative data points, building hypotheses with strong Excel and PowerPoint skills, and thinking in multiple directions of outcomes are important aspects of the position. Monitoring progress, managing risks, ensuring key stakeholders are kept informed about progress and expected outcomes, and analyzing AI/ML algorithms for solving problems are also key responsibilities. Exploring and visualizing data to gain an understanding of it and identifying differences in data distribution that could affect performance when deploying the model in the real world are part of the role. In terms of leadership, you will be responsible for overall leadership, talent development, skill advancement, engagement, and retention of talent in the team. Fostering a learning mindset in the team to proactively develop research and storytelling skills, leveraging multiple sources of data to answer business questions, is important. Developing new capabilities leveraging new sources of data and methods that include segment-level analysis, and providing leadership to help people perform at their best, through motivating and developing them to achieve high performance, are all part of the leadership responsibilities. Qualifications for this role include a Bachelors or Masters in Engineering, a minimum of 10 years of pharma/life science consulting job experience, high motivation, good work ethic, maturity, and personal initiative. Story-building skills are a must, along with strong oral and written communication skills, strong Excel and PowerPoint skills, adherence to client-specific data privacy and compliance policies, knowledge of Deep learning techniques as an added advantage, and knowledge of most commonly used transactional data assets including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets. Other Competencies that would be beneficial for this role include entrepreneurial orientation, excellent interpersonal and communication skills (written and verbal), and innovative and collaborative behavior as a team player.,