101 Ai Algorithms Jobs - Page 2

**APPLICABLE ONLY FOR IMMEDIATE JOINERS** Job Specification Job Title: Java Microservices Developer + AI Experience: 5+ Years Location: Gurgaon Job Summary: We are seeking a highly skilled Senior Java Developer with deep expertise in Microservices architecture and hands-on experience integrating AI/ML solutions into scalable enterprise applications. The ideal candidate will have a strong foundation in Java 8+ , Spring Boot , and RESTful services, and be capable of collaborating closely with Data Science teams to deploy and manage AI models in production. Key Responsibilities: Java Microservices Development: Design, develop, and maintain robust and scalable microservices using Java , Spring Boot , and Spring Cloud . Build RESTful APIs and event-driven services that integrate with cloud platforms and third-party systems. Implement service discovery, configuration management, fault tolerance, and API gateways. Ensure CI/CD best practices and participate in automated testing and code reviews. AI Integration: Collaborate with Data Scientists to integrate AI/ML models (e.g., predictive analytics, NLP, recommendation systems) into microservice architecture. Develop APIs and infrastructure for serving ML models using tools like TensorFlow Serving , SageMaker , ONNX , or custom Dockerized solutions . Optimize inference pipelines for performance, scalability, and reliability. Handle versioning, monitoring, and logging of deployed models. Key Skills: Java 8+ , Spring Boot , Spring Cloud Microservices architecture , RESTful APIs AI/ML model integration (via REST, gRPC, or containerized deployment) Docker , Kubernetes , CI/CD pipelines Messaging systems : Kafka, RabbitMQ, or similar Database technologies : SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis) Cloud platforms : AWS, Azure, or GCP Model serving : TensorFlow Serving, SageMaker, MLflow, ONNX Monitoring : Prometheus, Grafana, ELK, or similar Version control : Git, GitHub/GitLab Agile/Scrum methodologies Preferred Qualifications: Experience with AI frameworks : TensorFlow, PyTorch, Scikit-learn Familiarity with MLOps tools and practices Experience building AI-powered features (e.g., chatbots, anomaly detection, personalization engines) Understanding of data engineering pipelines and feature stores Exposure to security best practices in microservices and AI systems Educational Background: Bachelors or Masters degree in Computer Science, Software Engineering, or a related technical field.

Responsibilities: * Assist with AI platform development and implementation. * Collaborate on AI solution design and delivery. * Contribute to emerging tech research and adoption. * Stay updated on AI trends and best practices.

Overview: We are looking for a seasoned Solution Architect with strong expertise in the navigation and HD/ADAS mapping domain. The ideal candidate will lead solutioning, innovation, and automation strategy across complex geospatial workflows. Familiarity with AI/ML integration in the map production pipeline is a strong plus. Key Responsibilities: Lead technical solutioning for all navigation-focused projects Design end-to-end automation workflows for HD Maps and ADAS-related data Integrate advanced tools, ML models, and QC gates in map production Architect scalable solutions using navigation data formats (Multinet, NDS, SD/HD, etc.) Drive innovation in smart editing tools, data validation engines, and AI-powered processes Stay current with industry trends like NDS. Live and autonomous driving ecosystems Mentor teams, lead capability building, and conduct knowledge-sharing sessions Required Skills & Experience: 10+ years in Navigation, Automotive Mapping, or LBS Strong understanding of HD/ADAS maps, sensor fusion, localization layers Expertise with Multinet, NDS (Classic & Live), and other map formats Experience in building automation platforms for map production workflows Exposure to AI/ML in geospatial QA or enrichment Working knowledge of routing engines, GIS tools, and version control Strong communication and stakeholder management experience Preferred Qualifications: Bachelors/Master’s in Geoinformatics, Geography, CS, or similar fields Experience with TomTom, HERE, Mapbox, or Tier-1 Automotive clients Familiarity with cloud environments (AWS, Azure) & CI/CD pipelines Knowledge of regulatory frameworks – GDPR, India's Mapping Policy, etc.

As a CAE Engineer / Analyst, you will be responsible for Crash CAE Simulation & Evaluation. Your primary responsibilities will include conducting full vehicle simulation using LS-DYNA software, interpreting results using tools like LS-Pre Post, Hyperview, and Hyper Graph, and preparing detailed reports. You will also be expected to correlate simulation results with physical tests, improve CAE methodology, and develop and deploy machine learning models for predictive CAE simulations and structural optimization. Additionally, part of your role will involve integrating AI algorithms into CAE tools to automate simulation workflows, analyzing large-scale simulation and sensor data to enhance model accuracy, and collaborating with simulation teams to embed AI into vehicle development processes. To excel in this position, you should have knowledge of AIS Safety Regulations and NCAP protocols, experience in model builds and system-level/full vehicle simulations, and a background in automotive crash and occupant safety simulations. You must also possess strong programming skills in Python and hands-on experience with ML frameworks like Scikit-learn, TensorFlow, and PyTorch. Moreover, your competency in debugging models for LS-DYNA environment, interpreting FEA results, and preparing comprehensive analysis reports with countermeasure proposals will be crucial. Exposure to physical test procedures and the ability to understand physical test results will be an advantage. In terms of behavioral traits, you should demonstrate excellent interpersonal, communication, and presentation skills. Being achievement-oriented, a team player, and having strong networking skills will contribute to your success in this role.,

Please Note- Its 6 days WFO from Client location in Kolkata Role & responsibilities Data Science & AI Specialist in Kolkata requires strong programming skills in Python and experience with AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost). Proficiency in Jupyter and Databricks, along with experience in time-series modeling, advanced regression, anomaly detection, and optimization algorithms , is necessary. An understanding of energy systems, including renewables, grid infrastructure, and smart meters, is advantageous. Candidates should be familiar with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment and monitoring, as well as data visualization tools (Power BI) and version control (Git). The ideal candidate will have a bachelors or master’s degree in relevant fields and 2+ years of experience in AI and data science projects , preferably in the energy domain Kindly note that resource must travel to Kolkata Sector 5 client office daily ( No work from home ) and 6 Days a week working

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

We, at Macreel Info Soft are looking for enthusiastic and self-driven Full Stack AI & ML Engineers join our dynamic team who are passionate about Artificial Intelligence, Machine Learning , Full Stack Development to work real-world AI applications.

Quale Infotech is a company focused on Intelligent Process Automation (IPA), AI and other new-age technologies. Our AI innovation hub is one of the leading research sites for new age technologies. IPA practice at Quale Infotech is one of the largest and most respected with experts having decades of experience. Your role will be to be a pro-active member of our AI team working with on cutting-edge data science & analytics projects. This role involves leveraging machine learning, artificial intelligence, and big data technologies to build intelligent analytics solutions that drive business insights and decision-making. Key Responsibilities: Design, develop, and implement advanced machine learning models and AI-driven features for an analytics platform. Work with large-scale structured and unstructured data to extract meaningful insights and improve predictive capabilities. Collaborate with software engineers and product teams to integrate AI solutions into the analytics platform. Optimize model performance, scalability, and real-time processing capabilities. Develop and maintain data pipelines for efficient data processing and transformation. Research and stay updated with the latest advancements in AI, machine learning, and data science techniques. Provide technical leadership in best practices for AI/ML model deployment, monitoring, and lifecycle management. Required Skills & Qualifications: Minimum Masters in Data Science, Machine Learning, Computer Science, Mathematics, or a related field. Profeciency in RAG Proficiency in Python, R, or Scala and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies such as Apache Spark, Hadoop, or Databricks. Strong understanding of NLP, deep learning, reinforcement learning, and AI algorithms. Strong problem-solving and analytical skills with a passion for AI-driven innovation.,

Position Title: Specialist- Data Science Business Title: Engineer II- Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Role & responsibilities : you'll craft innovative ML solutions ready for both showcase and deployment in real-world scenarios. By staying engaged in research on the latest developments in the field and working with internal and external stakeholders, you will deliver statistically driven outcomes using best-in-class engineering practices to improve standards of care while guiding and mentoring more junior data scientists. Join us in this dynamic role and be at the forefront of technological innovation. Preferred candidate profile Must have: Good communication skills 1. Need 5 Years hands on experience in Data Science 2. Need 3 Years experience in exploratory data analysis and visualization methods, classification and regression algorithms,statistical analysis and modelling 3. Experience with programming language is must and Python is preferred. 4. Need 2 year experience in healthcare or Finance or Banking and a matrixed organization 5. Need 2 years experience with any one ML frameworks such as Scikit-Learn, Tensorflow, or Keras or similar 6. 1 Year experience in mentoring junior members of the team 7. 3 years experience with numeric, imaging, and textual data wrangling and visualization 8. 2 years experience with cloud platforms and ML services 9. 1 year experience in GenAI and training LLMs 10. Experience in operational research paper 1. Key asks for the role: Experience in Data Science to work on given problem statement Data science is not static; it requires continuous learning and adaptation to new algorithms, approaches, and technological advancements He should be a proactive learner, strategic thinker, and collaborative team player who can effectively leverage new technologies and approaches to drive value for the organization. For IC4 level, expectation from Leadership experience is who demonstrates a combination of independence, 1 year in mentoring abilities, potential for future leadership, strong communication skills, effective task management, and collaborative spirit. He should be technical expert not a people management person. Hands on experience with programming language with clear OOPS concepts. Since we are looking for hands on experience with cloud platforms, any cloud experience is ok- GCP,Azure, AWS Need a candidate with domain expertise because along with strong analytical and technical skills he should understand the specific nuances and challenges of the industry they will be working in Would prefer candidates with a PhD and research experience; however, since there are 9 open positions, we are open to balancing the requirement by including a few hires without this background. Warm Regards, Abhishek Lahane Senior HR Executive ________________________________________________________ Peoplefy PUNE | MUMBAI | DELHI | HYD | BLR Email: abhishek.la@peoplefy.com Linkedin: linkedin.com/in/abhishek2741 http://www.peoplefy.com

As a software engineer at Google, you will be part of a dynamic team developing cutting-edge technologies that impact billions of users worldwide. Your role will involve working on projects that require handling massive amounts of data and creating innovative solutions that go beyond traditional web search. We are seeking individuals with expertise in various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your responsibilities will include writing code for product and system development, participating in design reviews, and providing feedback on code quality and best practices. You will contribute to documentation and educational content, adapt content based on feedback, and troubleshoot and resolve product or system issues effectively. To be successful in this role, you should have a Bachelor's degree in a relevant field and at least 2 years of experience in software development with proficiency in data structures and algorithms. Experience with Machine Learning Algorithms, AI Algorithms, and coding in languages like C, C++, Java, or Python will be beneficial. A Master's degree or PhD in Computer Science, along with experience in building developer tools and knowledge of machine learning methods, is preferred. As a software engineer at Google, you will have the opportunity to work on critical projects that align with Google's needs, with the flexibility to switch teams and projects as the business evolves. Your ability to manage project priorities, deadlines, and deliverables will be essential, along with your skills in designing, developing, testing, deploying, and maintaining software solutions. If you are a versatile engineer with leadership qualities and a passion for innovation, we encourage you to join our team and help drive technology forward.,

Position: Experience : 3 to 5 Years Location : Mohan Corporate Office (Work from Office Only) Job Type: Full-Time Salary: To be discussed during the interview Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, Open AI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Implement Retrieval-Augmented Generation (RAG) using vector databases - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and ML Ops (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Responsibilities: * Design, develop & implement AI solutions using ML algorithms & NLP techniques. * Optimize performance through continuous learning & improvement. Annual bonus

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.

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

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 modeling. . 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 modeling, 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.

Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning. Preferred candidate profile Bachelor's degree in computer science, data science, mathematics, or a related field. Knowledge as a machine learning engineer. Proficiency with a deep learning framework such as TensorFlow, XgBoost, Wavevnet, Keras, numpy. Advanced proficiency with Python, Java, and R code writing. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture in ANN, CNN, RNN with LSTM. Ability to select hardware to run an ML model with the required latency In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. Benefits of working with OptimEyes 1 . Remote work opportunity ( work from home)2. Work opportunity with a top-notch team, cutting-edge technology, and leadership of extremely successful experts.3. Monthly Bonus along with Salary4. Yearly Bonus Role & responsibilities Preferred candidate profile Role & responsibilities Preferred candidate profile

Python and R for AI/ML Development, employing robust languages like JavaScript, HTML/CSS on the frontend, with a deep-seated expertise in Python and R on the backend, complemented by a practical exposure to Java backend Required Candidate profile Design, Devlop and deploy AI/ML models, machine learning algorithms using transformative principles of Artifical Intelligence, data analysis, manage datasets, employ machine learning alogorithms

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 Principal 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.

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, weve got quite a lot to offer. How about you We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you Required Experience: We seek a graduate with at least 5+ years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

Increasing digitalization and flexibility of production processes presents outstanding potential. In Digital Industries, we enable our customers to unlock their full potential and drive digital transformation with a unique portfolio of automation and digitalization technologies. From hardware to software to services, weve got quite a lot to offer. How about you We blur the boundaries between industry domains by integrating the virtual and physical, hardware and software, design and manufacturing worlds. With the rapid pace of innovation, digitalization is no longer tomorrows idea. We take what the future promises tomorrow and make it real for our customers today. Join us - where your career meets tomorrow. Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more efficiently. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But youll also get to visit other locations in India and globe, so youll need to go where this job takes you. In return, youll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to create new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards chipping in to your success. We Are Not Looking for Superheroes, Just Super Minds! Weve got quite a lot to offer. How about you Required Experience: We seek a graduate with at least 5+ years of relevant working experience with B.Tech or M.Tech in CSE/EE/ECE from a reputed engineering college. Proficiency of C/C++, algorithm and data structures. Compiler Concepts and Optimizations. Experience with UNIX and / or LINUX platforms is vital. Basic Digital Electronics Concepts We value your knowledge of Verilog, System Verilog, VHDL Experience in parallel algorithms, job distribution. Understanding of ML/AI algorithms and their implementation in data-driven tasks Exposure to Simulation or Formal based verification methodologies would be a plus! The person should be self-motivated and can work independently. Should be able to guide others, towards project completion. Good problem solving and analytical skills A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! #LI-EDA #LI-HYBRID #DVT

Job Title: AI Software Developer Location: Pune (Hybrid) Budget: Up to 20 LPA Experience Required: 5+ years (Relevant AI Development Experience) Work Mode: Hybrid (On-site & Remote) Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of 4 years of relevant experience in AI/ML development. Strong experience in building software application using Frontend and Backend tools with AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, React, Node or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Hybrid work model based in Pune.

Description - External Prepare detail design for the Solution by discussing with PO and business. Consult with Business, Subject Master Expert, users to evaluate business requirements, evaluate existing or proposed systems, and prepare detailed technical design document from which programs will be written. Walk-thru the technical design document with Business/SME/QA group and support team. Prepare test planning & setup test data. Execute test planning based on project requirements. Ensuring timely deliveries for all assigned tasks Participation in Design reviews, Test Case reviews, and Production Support readiness reviews for new releases. Capable of Creating Automation Scripts Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Adhere to all quality requirements. Should be able to work independently. Strong problem solving, analytical kills, Good communication and presentation skills, Good attitude and self-motivated.

We are seeking a highly skilled ML/AI Developer to join our team. In this role, you will develop, implement, and maintain machine learning models and AI systems, as well as design and deliver AI solutions that drive business outcomes.

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.