101 Ai Algorithms Jobs

As a skilled professional in Datasphere, you will be responsible for designing and implementing complex dataflows. Your role will involve writing transformations using Python scripts, creating views, and making them accessible for consumption in SAP Analytics Cloud. Additionally, you will work on consuming HDI containers within Datasphere and exposing Datasphere models to AI algorithms and third-party tools. To excel in this role, you must have experience in integrating Datasphere with S4HANA system and SAP Analytics Cloud. A minimum of 5-6 years of experience in SAP BWonHANA/BW4HANA is required. Furthermore, you should possess at least 1-2 years of working experience on SAP DSP to effectively contribute to the team and projects. Your expertise in these areas will be crucial in driving the success of data-related projects and ensuring seamless integration with various systems and tools.,

As a Lead Technical Architect with a focus on AI/ML technologies, you will leverage your 14+ years of experience in software development and architecture to drive innovation and lead the design of cutting-edge AI projects for a key client. You will collaborate with industry experts, provide strategic technical direction, and ensure architectural consistency, scalability, and security across multiple teams. Your key responsibilities will include leading the design and development of large-scale AI projects, aligning technology strategies with business objectives, and driving the adoption of cutting-edge AI technologies and best practices. You will need to have a Bachelor's or Masters degree in Computer Science or related field, proficiency in languages such as Python, Java, C#, JavaScript, and strong knowledge of AI/ML frameworks and cloud platforms. Joining our team will offer you a dynamic and supportive work environment where your contributions will shape the future of AI technologies. You will have the opportunity to collaborate with industry experts, drive transformative projects, and enjoy competitive compensation and flexible work arrangements. If you are passionate about AI technologies and leadership, we encourage you to apply for this exciting opportunity.,

As an AI intern at BoticX Labs, you will have the opportunity to be at the forefront of cutting-edge technology. You will collaborate with a team of experts in AI, web development, frontend, and backend development. Your day-to-day responsibilities will include working closely with the AI team to develop innovative solutions for various projects. You will assist in the design and implementation of AI algorithms and models, as well as support the frontend development team in creating user-friendly interfaces for AI applications. Additionally, you will contribute to backend development tasks such as database management and server-side scripting. To excel in this role, you will need to conduct research and stay updated with the latest advancements in AI technology. Your active participation in team meetings and brainstorming sessions will be essential to generate new ideas and strategies. Furthermore, you may be required to take on additional tasks and projects as needed to support the overall goals of the company. This internship provides a unique opportunity to gain hands-on experience in the exciting field of AI within a dynamic and collaborative environment. Join us at BoticX Labs and be a part of shaping the future of technology. About Company: Boticx Labs LLP is an IT services and consulting company specializing in AI-based solutions. Operating in India and internationally in countries like Nepal and Mauritius, we focus on providing Intelligent Automation and RPA-based solutions.,

The company strongly believes in conducting business based on core values such as Inclusion, Innovation, Collaboration, and Wellness. These values guide the daily operations and ensure a cohesive global team approach with customers at the forefront. Prioritizing self-care, mutual support, and community engagement is central to our work ethos. As a Security Architect specializing in AI systems, data, and machine learning models, your responsibilities will include developing security architectures to safeguard data, ensure model integrity, and comply with regulations. You will conduct thorough research and threat modeling to identify vulnerabilities and risks associated with machine learning models and data. Establishing and upholding security standards, procedures, and guidelines pertaining to AI usage will be a key aspect of your role. Conducting security risk assessments for AI projects, pinpointing vulnerabilities in algorithms, data pipelines, and infrastructure, will be essential. You will evaluate data workflows for AI initiatives, focusing on aspects like data encryption, anonymization, and secure storage. Collaborating closely with AI/ML engineers, data scientists, and cybersecurity teams to embed security controls across the AI development lifecycle is crucial. Assessing third-party AI tools and vendors for security risks and compliance requirements is also part of your responsibilities. Implementing secure coding practices for AI models and conducting reviews to identify potential security risks like adversarial attacks or data poisoning will be vital. Staying abreast of the latest AI and cybersecurity trends to ensure ongoing protection against emerging threats is expected. Moreover, you will lead the development of novel algorithms and techniques to secure AI models, guaranteeing the integrity, confidentiality, and availability of AI systems. Your role will be instrumental in enhancing the security posture of AI initiatives within the organization. For further insights into our culture and community, please visit https://about.pypl.com/who-we-are/default.aspx. We are committed to fostering diversity and inclusion in our workforce. To explore opportunities that match your skills, we invite you to join our Talent Community. We acknowledge the challenges posed by the confidence gap and imposter syndrome and encourage all qualified candidates to apply without hesitation. REQ ID: R0122578,

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. Were an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies. Core Responsibilities Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings. Test agent interactions, document behaviors, and help improve reliability and performance. Assist with agent integration, system testing, and deployment. Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks. Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables. Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling. Optimize AI models for on-premise infrastructure with a focus on performance and security compliance. Stay abreast of the latest trends in AI and contribute to continuous improvements. Mentor junior AI/ML engineers and contribute to documentation and process standardization. Contribute to the broader AI agent ecosystem and cross-functional collaboration. Required Experience Strong Python programming skills and experience with full-stack development. Experience with large language models (LLMs) like ChatGPT, Claude, etc. 6 months to 1 year of experience in Claims and Denial Management within the medical healthcare industry in India. Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition. Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage. Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases. Ability to write clear and thorough documentation. Enthusiasm for emerging AI technologies and open-source collaboration. Nice To Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, etc.) Basic DevOps knowledge and experience in scalable deployments. Experience with API development and RESTful services. Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate). Prior contributions to open-source AI projects or communities. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, youll have a personal development plan to help you improve in the areas youre looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. Youll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and youll have the chance to take on more responsibility over time. So, if youre looking for a career full of purpose and potential, wed love to hear from you! Show more Show less

Responsibilities: * Design, develop, test & maintain Python apps using FastAPI, Django REST API, PostgreSQL/Supabase. * Collaborate with cross-functional teams on automation projects with OpenAI, AWS & Redis. Work from home

As an AI & ML Instructor at ADaSci, you will be responsible for delivering comprehensive corporate training sessions to experienced professionals. Your deep expertise in artificial intelligence (AI), machine learning (ML), cloud platforms (Azure, AWS, GCP), data engineering, and MLOps will enable you to design engaging and informative training sessions that empower professionals to excel in their field. Your key responsibilities will include developing and delivering training sessions on AI, ML, and related topics, designing hands-on labs and practical exercises to enhance learning, customizing training materials to meet the specific needs of corporate clients, providing real-world examples and case studies to illustrate concepts, evaluating participants" progress, and staying updated on the latest trends in AI, ML, cloud computing, data engineering, and MLOps. To excel in this role, you should possess a graduate degree with 10+ years of experience, postgraduate degree with 5+ years of experience, or a PhD with 2+ years of experience. You should have proven experience as an instructor or trainer in AI, ML, data engineering, or related fields, deep knowledge of AI and ML algorithms, proficiency in cloud platforms, experience with MLOps, strong understanding of data engineering principles, and familiarity with system design and architecture. Preferred skills include hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), knowledge of containerization technologies like Docker, experience with big data technologies (e.g., Hadoop, Spark), and previous experience in corporate training or educational settings. Strong communication, presentation, problem-solving skills, and the ability to adapt training content for diverse audiences are essential for success in this role.,

As a Data Scientist at Mindcurv with 4+ years of experience, you will be responsible for delivering Data Science projects in the advanced analytics space. Your role involves driving business results through data-based insights, collaborating with stakeholders and functional/tech teams, and discovering solutions hidden in large datasets. You are expected to have experience working as a Data Scientist in the Marketing sector and ideally have delivered use cases for the Automotive industry. Your responsibilities will include identifying valuable data sources, supervising data preprocessing, analyzing information to discover trends, building machine learning models, and presenting insights using data visualization techniques. To excel in this role, you should have 3-5 years of experience in Analytics systems/program delivery with at least 2 implementations in Big Data or Advanced Analytics projects. Proficiency in Python is essential, and knowledge of R, Pyspark, and SQL is a plus. You should be familiar with various machine learning techniques, advanced statistical concepts, and have hands-on experience in GCP/AWS/Azure platforms. Additionally, you are expected to have experience with business intelligence tools like Tableau, ML frameworks, strong math skills, and excellent communication and presentation abilities. Your role will involve collaborating with Data engineering and product development teams to implement various AI algorithms and identify best-fit scenarios for business outcomes. Join Mindcurv to be part of a team of experts dedicated to redefining digital experiences and enabling sustainable business growth through data-driven solutions.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

Develop Conversational Text AI platforms using modern LLM frameworks. Work across backend (Python, Node.js), frontend (JavaScript, HTML/CSS), databases, and AI/ML stacks. Required Candidate profile Proficient in Python, Node.js, JavaScript, HTML/CSS, AI/ML (LLMs, embeddings, prompt engineering), Redis, PostgreSQL, Cosmos DB, DevOps, CI/CD. Bachelor’s or Master’s in CS/related field.

As a Senior System Embedded Engineer at Omnipresent Robot Tech Pvt. Ltd., you will be a key player in our satellite-based Dfense project, focusing on solution integration, system design, and cross-functional management. You will have the opportunity to work in a startup culture that values creativity and innovation. Your responsibilities will include architecting onboard AI-based change detection systems, researching space-grade SoCs, FPGAs, and computing platforms, seamlessly integrating SoCs, sensors, AI algorithms, and embedded systems, implementing sensor fusion for enhanced data accuracy, optimizing AI models for real-time execution, analyzing power, thermal, and computational constraints, testing AI workloads on multiple platforms for efficiency, coordinating with developers, engineers, and AI specialists, ensuring compliance with space-grade standards, and managing timelines and cross-functional collaboration. To qualify for this role, you should have a Bachelors's degree in Computer Science/Engineering (Masters a plus), along with 5+ years of experience in AI-driven embedded systems and automation. Expertise in system architecture, space-grade SoCs, and real-time data processing is required. Proficiency in Python, C++, and embedded programming is essential, as well as knowledge of radiation-hardened electronics and aerospace standards. Strong analytical, problem-solving, and collaboration skills are also expected.,

We are looking for a creative and strategic Electronics Engineer Intern to join our team. As an Electronics Engineer Intern, you will work closely with our electronics teams in designing, developing, and testing electronics components that power our advanced AI robotics systems. This opportunity is ideal for students or recent graduates in Electrical Engineering or related fields who are looking to gain hands-on experience in a fast-paced and innovative environment. Your responsibilities will include assisting in designing and developing electronic circuits, PCBs, and power systems for AI-driven robotics applications. You will collaborate with software and hardware teams to integrate electronic components with AI systems and conduct performance testing and troubleshooting of electronic systems in robotic prototypes. Analyzing technical documentation, schematics, and design specifications will be a part of your tasks, along with developing and maintaining system documentation for electronic components. You will also contribute to improving the reliability, efficiency, and scalability of robotics hardware, providing support in quality assurance and debugging of electronic designs, and staying updated with the latest trends and technologies in AI robotics and electronics. To be successful in this role, you should have a preference for electronics hobbyist, be a Bachelor's or Master's degree student in Electrical Engineering or a closely related field (Preferably rising seniors), possess basic knowledge of electronic circuit design, PCB layout, and embedded systems, and have familiarity with tools like CAD (e.g., Altium, Eagle) and simulation software (e.g., MATLAB, SPICE). Experience or interest in working with microcontrollers (e.g., Arduino, Raspberry Pi) is a plus, along with basic programming skills (e.g., Python, C, C++), strong problem-solving skills, attention to detail, excellent communication and teamwork skills, and eagerness to learn and adapt in a fast-paced environment. Preferred qualifications include experience with robotics systems, sensors, and actuators, knowledge of machine learning or AI algorithms, hands-on experience with embedded system programming, and familiarity with industrial automation systems. This is a full-time, permanent position with benefits including cell phone reimbursement, health insurance, leave encashment, and Provident Fund. The work location is in person.,

Immediate Joiner Remote Responsibilities: * Design, develop, test & maintain Java fullstack apps using AI technologies. * Collaborate with cross-functional teams on project requirements and deliverables.

As an AI Developer Technology Engineer at NVIDIA, you will be at the forefront of the intelligent industrial revolution, working with cutting-edge technologies in deep learning, graphs, machine learning, and data analytics to shape the future of AI. Your role will involve studying and developing innovative techniques to optimize performance on both current and next-generation GPU architectures. You will collaborate closely with key customers to understand their challenges and provide tailored AI solutions using GPUs. Additionally, you will work alongside various teams within NVIDIA to influence the design of future architectures, software platforms, and programming models. To qualify for this position, you should hold a Masters degree or PhD in engineering or computer science, or possess equivalent experience with at least 5 years of relevant work or research experience. Proficiency in C/C++, software design, programming techniques, and AI algorithms is essential. Hands-on experience with parallel programming, particularly CUDA C/C++, is highly desirable. Strong communication, organization, problem-solving, time management, and task prioritization skills are also required for success in this role. Occasional travel for conferences and on-site visits with developers may be necessary to fulfill job requirements.,

Position level: AI Specialist/Software engineering professional (Cant be a junior/fresher, needs to be middle to senior level person) Work Experience: Ideally, 4 to 5 years of working as a Data Scientist / Machine Learning and AI at a managerial position (end-to-end project responsibility). Slightly lower work experience can be considered based on the skill level of the candidate. About the job: Use AI-ML to work with data to predict process behaviors. Stay abreast of industry trends, emerging technologies, and best practices in data science, and provide recommendations for adopting innovative approaches within the product teams. In addition, championing a data-driven culture, promoting best practices, knowledge sharing, and collaborative problem-solving. Abilities: Knowledge about data analysis, Artificial Intelligence (AI), Machine Learning (ML), and preparation of test reports to show results of tests. Strong in communication with a collaborative attitude, not afraid to take responsibility and make decisions, open to new learning, and adapt. Experience with end-to-end process and used to make result presentation to customers. Technical Requirements: Experience working with real world messy data (time series, sensors, etc.) Familiarity with Machine learning and statistical modelling Ability to interpret model results in business context Knowledge of Data preprocessing (feature engineering, outlier handling, etc.) Soft Skill Requirements: Analytical thinking Ability to connect results to business or process understanding Communication skills Comfortable explaining complex topics to stakeholders Structured problem solving – Able to define and execute a structured way to reach results Autonomous working style – can drive a small project or parts of a project Tool Knowledge: Programming: Python (Common core libraries: pandas, numpy, scikit-learn, matplotlib, mlfow etc.); Knowledge of best practices (PEP8, code structure, testing, etc.) Code versioning (GIT) Data Handling: SQL; Understanding of data format (CSV, JSON, Parquet); Familiarity with time series data handling Infrastructure: Basic Cloud technology knowledge (Azure (preferred), AWS, GCP); Basic Knowledge of MLOps workflow Good to have: Knowledge of Azure ML, AWS SageMaker; Knowledge of MLOps best practices in any tool; Containerization and deployment (Docker, Kubernetes) Languages: English – Proficient/Fluent Location: Hybrid (WFO+WFH) + Availability to visit customer sites for meetings and work-related responsibilities as per the project requirement.

ONNX implementation and optimization in AIX: Strong application developer with deep knowledge of compiler behaviour when implementing numerically intensive AI algorithms. Understanding how to vectorize and optimize and communicate the benefits and behaviour of the optimized code. Requires knowledge of algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX. Requires demonstrated experience implementing these algorithms in applications that require robustness and performance. The job will require an understanding of analysing performance and data handling issues such as efficient handling of endianness formats to achieve the best possible performance. This is to be accomplished using new algorithms, advanced processor features and leveraging the features through advanced compiler optimization features and libraries. Candidate will have broad awareness of how to implement algorithms to deliver performance gain and consistency of the applications requirement. Required skills Development experience with the numeric algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX Experience with C and C++ application programming using one or more of these compilers: GCC, XL C, ICC, CLANG/LLVM, AOCC Experience applying numeric algorithms into complex multi threaded multiprocessing applications in UNIX or Linux OS Experience debugging runtime and runtime issues in large scale projects Familiarity with Python based coding Familiarity Java Development Kit(JDK) and Java Virtual Machine (JVM) Preferred skills Open-source contributions, system programming, networking (distributed/parallel applications) Application performance optimization investigation & analysis using tools like valgrind, perf, Nectar, PMU, pipestat, nmon

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!

Responsibilities: * Lead AI strategy development & implementation * Collaborate with cross-functional teams on ML initiatives * Design, architect & optimize AI solutions using latest techs Work Location - Remote Clients - Saudi Arabia Health insurance Annual bonus

Collaborate with teams to understand business needs, design and implement AI solutions, conduct thorough testing, optimize algorithms, stay updated with AI advancements, integrate technologies, and mentor team for innovation.

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

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. • Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills • Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube! Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Looking for immediate joiners!!

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

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

As a Dot Net Full Stack Developer- Gen AI at our technology services client, you will be part of a dynamic team on a contract basis with a strong potential for conversion to full-time employment. Your primary location options include Bangalore, Noida, or Pune, and the ideal candidate will be able to start within an immediate to 15-day notice period. Your role will involve working with Microservice and Event-Driven architectures, utilizing skills in C#, .NET 7.0+/CORE, SQL/No SQL, Web API, and various GenAI models from OpenAI. While not mandatory, experience in Python, Django, Flask, React, and AngularJS would be beneficial. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your responsibilities will include developing web applications, customer-facing integrations, and Cloud Native development using Azure. A minimum of 3 years of experience with various GenAI models is required, along with knowledge of Agentic AI/Frameworks and Azure services such as Azure Data Factory, Logic Apps, and functions. Your tasks will encompass technical design, development, and support of web applications and API frameworks, integrating with different systems, AI models, and orchestration layers. Proficiency in ORM Tools, Azure Stack, CI/CD, container deployments, and Git code repository is essential. Hands-on experience in C# .NET Core, CosmosDB, Web Application Development, Web APIs, and knowledge of REST APIs and data structures are crucial. Additionally, you should possess good debugging and analytical skills, familiarity with design patterns, code reviews, caching strategies, and the ability to analyze client requirements and propose solutions. Strong communication skills are necessary for effectively conveying information to peers, leadership, and customers via email, phone, or in-person interactions. If you meet these requirements and are interested in this opportunity, please share your updated resume with us at sathwik@s3staff.com. We look forward to potentially welcoming you to our team.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.