134 Ai Algorithms Jobs - Page 2

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.

**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