4224 Pytorch Jobs - Page 50

Team: Data & Decision Science (D&DS) Experience: 5–8 years Location: Remote (India) Do you want to help transform the global economy? Join the movement disrupting the financial world and changing how businesses gain access to the working capital they need to grow. As the largest online platform for working capital, we serve over one million businesses in 160 countries, representing more than $10.5 trillion in annual sales. Headquartered in Kansas City, C2FO has more than 500 employees worldwide, with operations throughout Europe, India, Asia Pacific, and Australia. Here at C2FO, we value the quality of our technical solutions and are passionate about building the right thing, the right way to best solve the problem at hand. But beyond that, we also value our employees' work-life balance and promote a continuous learning culture. We host bi-annual hackathons, have multiple book clubs focused on constant growth, and embrace a remote-first working environment. If you want to work at a place where your voice will be heard and can make a real impact, C2FO is the place for you. About C2FO’s Data & Decision Science Team The Data & Decision Science (D&DS) team is one of the most dynamic and cross-functional teams at C2FO. It comprises four pillars: Data Engineering, Data Science & Analytics, Data Operations, and Business Intelligence. Spread across India and the US, our teams power C2FO’s global growth by building scalable, high-quality data solutions and driving data-backed innovation. We manage the full lifecycle of data — from architecture and governance to advanced modeling, business intelligence, and AI. Our team enables smarter decisions, deeper insights, and practical experimentation across C2FO’s ecosystem. About The Role We are looking for a Senior Data Scientist who thrives at the intersection of business impact and technical rigor. This role offers the opportunity to work on a wide variety of problems — from traditional ML (forecasting, credit scoring, churn prediction) to cutting-edge applications of large language models (LLMs) in customer engagement and retention. You’ll be part of a fast-paced, collaborative environment, where initiative, ownership, and curiosity are rewarded. Key Responsibilities Build ML models and scalable data solutions for business-critical problems like dynamic discounting, customer retention, LTV prediction, credit scoring, and more Design, experiment, and iterate quickly on MVPs that solve real business pain points Work cross-functionally to translate ambiguous business challenges into data science problems Collaborate with Data Engineering and Data Governance to ensure robust data validation and quality frameworks Conduct deep-dive analyses to extract actionable insights from large, complex datasets Contribute to a culture of learning, innovation, and experimentation What We’re Looking For 5+ years of hands-on experience in data science or applied machine learning Strong foundation in mathematics, statistics, and ML concepts Experience building and deploying ML models in production environments Proficiency in Python and data manipulation tools (SQL, Pandas) Familiarity with libraries like Scikit-learn, XGBoost, PyTorch, etc. Experience in hypothesis testing and experimentation frameworks A pragmatic mindset: build fast, learn fast, iterate fastExceptional problem-solving, communication, and stakeholder management skills Bonus: experience in fintech or financial services Benefits At C2FO, we care for our customers and people – the vital human capital that helps our customers thrive. That's why we offer a comprehensive benefits package, flexible work options for work/life balance, volunteer time off, and more. Learn more about our benefits here. Commitment to Diversity and Inclusion As an Equal Opportunity Employer, we value diversity and equality and empower our team members to bring their authentic selves to work daily. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs. Show more Show less

Minimum qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent practical experience. 5 years of experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with hardware description languages (e.g., Verilog, SystemVerilog, VHDL). Experience with applying ML/AI techniques. Preferred qualifications: Experience with ML/AI applications in hardware design, verification and Low Power (e.g., formal verification with ML, coverage closure with ML). Experience with verification methodologies (UVM, OVM). Experience in data preprocessing and feature engineering, hardware architecture and microarchitecture. Experience with simulation tools (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa). Excellent programming skills in Python or C++. About The Job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Research, design, and implement ML/AI algorithms techniques for various verification tasks, including test case generation, coverage analysis, bug prediction, and performance optimization. Develop and maintain tools and scripts for data collection, preprocessing, model training, and evaluation. Analyze large datasets of simulation results, logs, and other verification data to identify patterns and trends. Build and train ML models for various verification applications, such as anomaly detection, pattern recognition, and prediction. Evaluate model performance and iterate to improve accuracy and efficiency. Participate in verification planning and develop test plans that incorporate ML/AI-driven techniques. Execute verification tests and analyze results to identify bugs and coverage gaps. Develop and maintain verification tools and scripts to automate verification tasks. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

About The Role Grade Level (for internal use): 10 Responsibilities To work closely with various stakeholders to collect, clean, model and visualise datasets. To create data driven insights by researching, designing and implementing ML models to deliver insights and implement action-oriented solutions to complex business problems To drive ground-breaking ML technology within the Modelling and Data Science team. To extract hidden value insights and enrich accuracy of the datasets. To leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. To understand, implement, manage, and maintain analytical solutions & techniques independently. To collaborate and coordinate with Data, content and modelling teams and provide analytical assistance of various commodity datasets To drive and maintain high quality processes and delivering projects in collaborative Agile team environments. Requirements 7+ years of programming experience particularly in Python 4+ years of experience working with SQL or NoSQL databases. 1+ years of experience working with Pyspark. University degree in Computer Science, Engineering, Mathematics, or related disciplines. Strong understanding of big data technologies such as Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines. Experience with workflow management platforms like Airflow. Strong analytical and problem-solving skills. Ability to collaborate and communicate effectively with both technical and non-technical stakeholders. Experience building solutions and working in the Agile working environment Experience working with git or other source control tools Strong understanding of Object-Oriented Programming (OOP) principles and design patterns. Knowledge of clean code practices and the ability to write well-documented, modular, and reusable code. Strong focus on performance optimization and writing efficient, scalable code. Nice To Have Experience working with Oil, gas and energy markets Experience working with BI Visualization applications (e.g. Tableau, Power BI) Understanding of cloud-based services, preferably AWS Experience working with Unified analytics platforms like Databricks Experience with deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 314321 Posted On: 2025-05-19 Location: Hyderabad, Telangana, India Show more Show less

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

Proficiency in Python, TensorFlow, PyTorch, . o Experience with NLP, machine learning algorithms, and data preprocessing. o Knowledge of containerization and orchestration tools is a plus.

🤖 Machine Learning Intern (Remote) 🌐 🔍 Are you passionate about AI, algorithms, and building models that learn and evolve? Ready to kickstart your machine learning journey from anywhere in the world? This is your chance! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Machine Learning Intern to join our remote team! This internship is perfect for students or recent graduates eager to gain hands-on experience with machine learning techniques, data processing, and model development. You’ll work on real datasets, build and test machine learning models, and help bring AI-powered solutions to life — all while collaborating in a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – Learn and contribute on your schedule ⏰ ✅ Real-World Projects – Apply ML concepts to practical problems 📊 ✅ Skill Building – Develop Python, TensorFlow, scikit-learn, and more 🛠️ ✅ Mentorship – Learn from experienced data scientists and engineers 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Computer Science, Data Science, AI, or related fields 🧠 Strong understanding of machine learning fundamentals and algorithms 🛠️ Experience with Python and ML libraries like TensorFlow, PyTorch, or scikit-learn 📈 Passionate about AI and eager to learn and grow 💬 Self-motivated and comfortable working independently in a remote setting 📅 Apply By: June 10th Excited to start your career in machine learning and build impactful AI solutions? We’d love to hear from you! Let’s innovate and solve problems with machine learning — together! 🤖📈💡 Show more Show less

Role Description Work Location: Any UST Office Location Key Responsibilities Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize LangChain (agents, chains, memories, parsers, document loaders), CrewAI, GenAI, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. Leverage Azure and GCP services, including Lambda functions (event-driven architecture in Python), to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Develop and maintain CI/CD pipelines, write and manage YML files, and work with GitHub for version control. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Implement responsible AI practices, incorporating guardrails and moderation mechanisms. Collaborate with cross-functional teams to translate AI insights into impactful solutions. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications 4+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Expertise in AWS services, particularly AWS Bedrock and Lambda functions. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLMs and OpenAI APIs. Deep understanding of LangChain components and advanced NLP techniques. Strong knowledge of Docker and CI/CD pipelines, with experience writing YML files and managing repositories in GitHub. Familiarity with best practices in system design, including security, performance optimization, and scalability. Proven ability to write high-quality production code and work in collaborative environments. What We Believe We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the centre of everything we do. Humility We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honour our commitments and act with responsibility in all our relationships. UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. Skills RAG systems,Chatbot development,AI/ML Frameworks,GenAI technologies Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data. Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps. Advanced knowledge of statistics and machine learning algorithms. Proficiency in Python programming and familiarity with R. Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX. Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.). Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Expertise with Big Data technologies (e.g., PySpark). Background in knowledge graphs, graph databases, or GraphRAG architectures. Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience with package development and technical writing. Familiarity with tools like Jira, Confluence, and source control packages and methodology. Knowledge and interest in foreign languages and linguistics. Experience working on international, globe-spanning teams and with AWS. Past participation in a formal research setting. Experience as part of a software organization. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 6969 Reporting into : Tech Manager Role Type : Individual Contributor About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

Job Description Job Summary: As a AI Developer at Emerson, you will be responsible for analyzing complex data sets to identify trends, develop predictive models, and deliver actionable insights. You will collaborate with multi-functional teams to comprehend business needs and provide data-driven solutions that improve decision-making and boost business growth In this Role, Your Responsibilities Will Be: Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights. Develop and implement predictive models and algorithms to solve business problems and improve processes. Develop visual representations and dashboards to clearly communicate findings and insights to collaborators. Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions. Clean and preprocess data to ensure accuracy and completeness for analysis. Prepare and present reports on data analysis, model performance, and important data to collaborators and management Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Stay updated with the latest industry trends and advancements in data science and machine learning techniques. Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: Bachelor's degree in computer science, Data Science, Statistics, or a related field or equivalent experience is preferred Total 10-12 years of industry experience More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models. Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy). Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Strong verbal and written communication skills, capable of explaining complex technical details to non-technical collaborators Preferred Qualifications that Set You Apart: Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have Possession of relevant certification/s in data science from reputed universities specializing in AI. Familiarity with cloud platforms, Microsoft Azure is preferred Ability to work in a fast-paced environment and handle various projects simultaneously. Strong analytical and fixing skills, with the ability to resolve issues related to model performance and infrastructure Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Solutions Architect - Edge Computing & IoT Summary Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an ""Honorable Vendor"" in 2021 Magic Quadrant™ for data & analytics by Gartner. We are seeking an innovative and driven Solutions Architect to join our growing Edge & IoT team. In this role, you will work closely with clients and internal engineering teams to design and implement effective edge computing and IoT solutions that leverage our expertise in AI/ML and strategic partnerships with Microsoft, Intel, Nvidia, and other industry leaders. You will demonstrate strong technical proficiency, a keen understanding of client requirements, and a commitment to delivering high-quality, innovative solutions. To excel in this role, you should possess a strong technical background in AI/ML and Edge Computing, excellent communication and interpersonal skills, and a demonstrated ability to think critically and creatively, adapting quickly to new challenges. A successful Edge AI Solutions Architect will have a keen understanding of both technology and business requirements and will be able to translate complex ideas into effective, user-friendly solutions that drive client success and satisfaction. If you are ready to contribute to a dynamic and growing organization, we encourage you to apply. Key Responsibilities As an Edge & IoT Solutions Architect, you will work: - Collaborate with clients to gather requirements, understand business objectives, and translate them into technical specifications for the engineering team. Design innovative Edge & IoT solutions, incorporating AI/ML components and leveraging cloud platforms such as Azure, AWS, and GCP. Contribute and lead the development of Edge & IoT accelerators and PoVs. Design, select, and deploy various IoT hardware components such as sensors, cameras, embedded devices, gateways, and servers, considering factors like power consumption, connectivity, interoperability, and environment constraints. Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements. Collaborate with engineering teams to ensure proper implementation of the designed solutions and provide technical guidance throughout the project lifecycle. Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team. Act as a subject matter expert in Edge & IoT technologies, staying abreast of industry trends, emerging technologies, and best practices. Support the account team in the pre-sales process by providing technical assistance and inputs into solution proposals. Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions. Technical Skills Required Strong knowledge of IoT protocols such as MQTT, CoAP, and AMQP. Proficiency in edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core. Solid understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios. Experience working with various IoT devices, sensors, and connectivity solutions (e.g., Wi-Fi, Bluetooth, 5G, LoRaWAN, NB-IoT, etc.). Familiarity with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT. Proven experience with programming languages such as Python, C#, C/C++, or JavaScript. Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S). Strong knowledge of networking concepts, protocols, and technologies (e.g., TCP/IP, UDP, VLAN, VPN, Ethernet, and wireless communication protocols), and experience in designing and implementing secure, reliable, and scalable network architectures for IoT and edge computing solutions. Familiarity with different hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and others, and the ability to choose the appropriate platform according to the specific requirements, constraints, and performance expectations of the solution. Expertise with packaging and deploying AI and ML models on edge devices using common AI frameworks such as TensorFlow, PyTorch, or ONNX Runtime, and familiarity with optimizing these models for resource-constrained environments and efficient execution at the edge. Experience in designing IoT and edge computing solutions that consider factors such as physical security, device management and maintenance, thermal management, and enclosure design. Proficiency in assessing the compatibility, interoperability, and performance of various hardware components and their integration into a comprehensive, well-structured solution architecture. Knowledge of industry standards, regulations, and best practices related to IoT hardware selection, deployment, and security. Qualifications Bachelor’s or master’s degree in computer science, Engineering, or related field. Minimum 10-12 years of experience in designing and implementing IoT and edge computing solutions, with at least 4-5 years focusing specifically on Edge AI and/or AI/ML integration. Strong communication and presentation skills. Excellent problem-solving abilities and attention to detail. Ability to work independently or as part of a team. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? 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Job Summary JOB DESCRIPTION As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications. In This Role, Your Responsibilities Will Be: Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AI's response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues Who You Are: Multi-functional teammate Detailed, organized, flexible, and proactive teammate Willing to accept feedback and implement changes quickly and with a positive attitude Comfortable working in an Agile development environment In This Role, You Will Need: Bachelor’s degree and 2+ years of relevant experience or a master’s degree and 1+ year of meaningful experience Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR Outstanding English writing and verbal communication skills Ability to develop product understanding by working closely with product developers in an Agile development environment Ability to design and organize document structure Curiosity about hands-on installation, configuration and use of the software to further develop product understanding Understanding of accepted technical writing style conventions Experience in writing technical documents Ability to work collaboratively as part of a team Self-motivated and able to work independently Ability to simultaneously handle multiple projects and monitor their progress with minimal direction Excellent time management skills and ability to meet deadlines Strong research skills. Preferred Qualifications that Set You Apart: Bachelor's Degree in Computer Science, Engineering, or a related field. 3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development Knowledge of ethical AI principles and bias detection in AI models Proficiency with automated testing tools e.g., Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot etc.) Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. 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Role Description Role Proficiency: Independently manage business proposals end-to-end working closely with Client Partners Delivery Leaders and Services for large deals and for which new and complex technical solutions are required. Outcomes End-to-end management of proposals including organizing planning tracking the bid and working closely with sales account services and other functions to prepare a compelling proposal response for RFPs where we do not have an already existing solution and requires complex technical solutions with multiple technology elements Understand customer requirements & business problems and drive the pursuit discussions towards building a winning proposal Develop a good understanding of the key elements that should be part of the overall solution narrative and enable the pursuit team to get enough clarity and inputs to create a compelling response Organize pursuit discussions war rooms and discussions with other support functions like HR Legal and Finance to complete the proposal response on time with quality Manage very senior stakeholders within the organization working closely and confidently with them Provide regular status updates to the sales leadership highlight issues and challenges to ensure timely intervention Final formatting and packaging the bid response documents for submission Measures Of Outcomes # RFPs responded # RFPs won Feedback from internal stakeholders Review and rework required on RFP responses Outputs Expected Bid Management: : Organize plan and track the proposal end-to-end Proposal Writing Prepare relevant customized responses for proposals. Work with Services Quality Sales and other functions to get the right content/inputs Ensure all deliverables are reviewed and signed off by designated function heads and the final package is ready for submission before deadline Stakeholder Management Drive pursuit conversations effectively to build the required solution Influence stakeholders and drive pursuits with clearly defined win themes and differentiators Get things done by other associates who are not in the reporting line Teamwork Take initiative to get the proposal team aligned with the differentiators that are expected to be projected in the response. Drive proposal conversations towards common goal Skill Examples Ability to write sales content from scratch relevant and customized to client requirements Ability to drive pursuit discussions to define win themes and differentiators to create a winning bid Ability to organize plan and track bid management activities get the necessary inputs from different stakeholders and stitch together to form a compelling response Knowledge Examples A strong Pre-sales background Proposal writing skills Certifications like APMP will be an advantage Additional Comments Deep Technical Expertise: Data Engineering: Solid understanding of data architectures, data modeling, ETL/ELT processes, and data warehousing concepts (e.g., dimensional modeling, star schema). Experience with various database systems (SQL and NoSQL) and data lakes. Proficiency in cloud data platforms (AWS, Azure, GCP) and related services (e.g., data storage, data processing). Familiarity with big data technologies like Hadoop, Spark, and Kafka. Knowledge of data governance, data quality, and data security principles. Data Science: Strong foundation in statistical analysis, machine learning algorithms (both traditional and deep learning). Experience in developing, deploying, and monitoring machine learning models in production. Proficiency in programming languages commonly used in data science (e.g., Python, R) and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Understanding of model evaluation metrics and techniques for ensuring model performance and reliability. Generative AI (GenAI): Solid understanding of GenAI concepts, models (e.g., LLMs, diffusion models, GANs), and their applications. Experience working with Large Language Models (LLMs) and related frameworks (e.g., Langchain). Familiarity with prompt engineering techniques and model fine-tuning. Knowledge of the ethical considerations and potential risks associated with GenAI. Presales And Business Acumen Solutioning and Architecture: Ability to understand client business needs and translate them into technical solutions leveraging data, data science, and GenAI. Experience in designing end-to-end technical solutions, including data pipelines, analytical models, and GenAI applications. Capability to create technical blueprints, solution diagrams, and architectural documentation. Sales and Business Development: Understanding of the sales cycle and the role of presales in driving deals forward. Ability to identify opportunities, qualify leads, and align technical solutions with client business value. Experience in responding to RFPs/RFIs and creating compelling technical proposals. Familiarity with value proposition creation, ROI analysis, and business case development. Leadership and Interpersonal Skills: Client Engagement: Proven ability to build and maintain strong relationships with clients. Excellent listening and questioning skills to understand client challenges and requirements. Ability to manage client expectations and address concerns effectively. Team Collaboration: Experience working collaboratively with sales teams, delivery teams, and other stakeholders. Ability to coordinate with multiple teams to drive solution development and delivery. Problem-Solving and Analytical Skills: Strong analytical and problem-solving abilities to identify and address technical and business challenges. Critical thinking skills to evaluate different solutions and recommend the best approach. Learning Agility: Continuous learning mindset to stay updated with the rapidly evolving technologies in data, data science, and GenAI. Skills Pre Sales,Data Science,Data Engineering Show more Show less

Job Summary JOB DESCRIPTION The Software Developer codes software applications for pipeline operations and planning that provide critical operations support for client companies. The software developer should be a self-starter willing to delve into existing code as well as writing new applications. This position includes fundamental product analysis and design, source code development, and project driven development. Liquids Management System (LMS) Suite of products is a total software solution for liquid hydrocarbon logistics. Synthesis, one of the products within LMS, is an enterprise web based system that tracks liquid hydrocarbons from customer contracts, orders, inventory all the way to charges, billing and invoicing (Order to Cash). It is a highly configurable and extensible system which allows it to cater to the unique business processes of energy companies world-wide In this Role, Your Responsibilities Will Be: Determine coding design requirements from function and detailed specification o Analyze software bugs and affect code repairs Design, develop, and deliver specified software features Produce usable documentation and test procedures Deal directly with the end clients to assist in software validation and deployment Explore and evaluate opportunities to integrate AI/ML capabilities into the LMS suite, particularly for predictive analytics, optimization, and automation. Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: BS in Computer Science, Engineering, Mathematics or technical equivalent 2 to 7 years of experience required. Strong problem solving skills Strong Programming Skills (.NET stack, C#, ASP.NET, Web Development technologies, HTML/5, Javascript, WCF, MS SQLServer Transact-SQL). Strong communication skills (client facing). Flexibility to work harmoniously with a small development team. Familiarity with AI/ML concepts and techniques, including traditional machine learning algorithms (e.g., regression, classification, clustering) and modern Large Language Models (LLMs). Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing and deploying machine learning models. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Preferred Qualifications that Set You Apart: Experience with liquid pipeline operations or volumetric accounting a plus Knowledge of oil and gas pipeline industry, also a plus. Experience with cloud-based AI/ML services (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform) is a plus. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. 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Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 7th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field). 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 7th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

We are looking for a passionate Python IOT developer to join our team at Magneto Dynamics. About Magneto Dynamics – From a humble beginning in 1989 , we have come a long way in quest for innovation. For us , Quality has been a way of life , inbuilt in our system . Our Business profile expanded with our quest for niche and innovative applications and we ventured out to successfully develop intricate sub assemblies and parts of Flow meters for our OEM customer in US and Europe. These include complete assembly of components which are so unique to the industry. Our parts range from complex assemblies like Clutch Calibrators, Pickup sensors to high precision Turbine Rotors, and other critical flow meter related parts. We now operate on a mixed model of design, manufacturing, assembly and outsourcing. From Aluminum and Zinc casting to Stainless Steel machining, we are involved in the entire gamut of servicing any of our customer needs. Our Specialization involves work related to casting, molding, machining, precision fabrication for high precision and high end applications. We have special purpose Wire EDM machine and CNC machines for making precision parts. We also develop customized testing facility and fixtures meeting customer's needs. We are geared up to bring out precision parts utilizing most modern technologies by use of Solid Modelling, CNC turn mills , and VMCs . Our Infrastructure is well established with lean manufacturing concepts. As an ISO 9001 certified company, we are focused on establishing a good Quality system in place. Our Policy is to minimize waste in supply chain leading to tangible benefits to our customers. Strong Management Culture is inbuilt in our system with a clear objective to Delight Customers. With a built-up space of 7000 Sqft on a 12000 sqft own land, a supportive base of vendors and other business associates our ecosystem is quite prepared for all expansion plans. Job Profile- You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features. As an active part of our company, you will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on challenging and innovative projects, using the latest technologies and tools. If you enjoy working in a fast-paced and collaborative environment, we encourage you to apply for this exciting role. We offer industry-standard compensation packages, relocation assistance, and professional growth and development opportunities. Objectives of this role · Develop, test and maintain high-quality software using Python and Embedded C programming language. · Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. · Collaborate with cross-functional teams to identify and solve complex problems. · Write clean and reusable code that can be easily maintained and scaled. Your tasks- · Create large-scale IOT / Embedded Applications. · Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. · Debugging codes when required and troubleshooting any Python-related queries. · Keep up to date with emerging trends and technologies in Python development. Required skills and qualifications- · Bachelor's degree in Computer Science, Software Engineering or a related field.(Freshers) · Strong Programming Fundamentals. · In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. · Familiarity with front-end development using HTML, CSS, and JavaScript. · Familiarity with database technologies such as SQL and MySQL. · Excellent problem-solving ability with solid communication and collaboration skills. Interview Date: 09-06-2025 Interview Time: 10am onwards Contact Person: Antony Peter - 9962048534 Interview Venue: Talent Pursuits. Magneto Dynamics No 7,8,9 Venkateswar Ngr Main Road, Perungudi, Chennai, Tamil Nadu 600096 Google Map Link: https://goo.gl/maps/TSStgJfA7B7c7DMj7 Job Types: Full-time, Permanent Pay: Up to ₹150,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Abstract: Job Description A Machine Learning (ML) Developer is an expert in applying advanced AI/ML algorithms and techniques to solve complex problems, including building, training, and deploying machine learning models. This role focuses on creating and optimizing systems to automate processes such as image classification, speech recognition, market forecasting, and large language model (LLM) fine-tuning. Roles & Responsibilities Machine Learning Development: Design, build, train, and fine-tune machine learning and deep learning models, particularly in the context of large language models (LLMs). Data Pipeline Creation: Develop and manage efficient data pipelines for data preprocessing and feature engineering. MLOps Implementation: Create CI/CD pipelines to automate the deployment, monitoring, and updating of ML models in production environments. LLM Fine-Tuning: Fine-tune LLMs for specific applications and domains, leveraging frameworks like Hugging Face and open-source LLMs. Model Evaluation: Regularly evaluate model performance, accuracy, and reliability using statistical and computational techniques. Collaboration: Work in an Agile environment with cross-functional teams to integrate ML solutions into larger systems. Framework Utilization: Utilize machine learning frameworks such as TensorFlow, PyTorch, or Keras to develop scalable solutions. Data Management: Manage large datasets, ensure data quality, and design robust preprocessing pipelines. AI/ML Research: Stay updated on the latest advancements in AI/ML algorithms, tools, and techniques to implement cutting-edge solutions. Requirements Programming and Frameworks Fundamentals of SQL FastAPI framework PyTorch framework MMDetection framework Parallel Processing and Optimization Techniques for parallel execution and data processing Image and Data Processing Optical Character Recognition (OCR) Data processing and image manipulation Deep Learning Concepts Basics of neural networks and optimizers Convolutional Neural Networks (CNN) Region-based Convolutional Neural Networks (RCNN) Advanced AI and LLMs Prompt engineering principles Retrieval-Augmented Generation (RAG) using the LangChain framework Open-source Large Language Models (LLMs) MLOps and Deployment MLOps practices, including: MLflow Docker CI/CD pipelines GitLab Benefits 5-day working company. Quarterly rewards based on roadmap achievements and customers’ success. 20 Yearly leaves. 14 National Holidays Off. Cross-team work culture. Career Development & Training Programs. Employee Referral Benefits. Birthday/Anniversary/Festival Celebrations. Compensatory Off Benefits. Paid half-day leaves on special occasions of Birthdays & anniversaries. Meals while working extra. Yearly day-outing activities. Yearly Achievement Awards. Show more Show less

Data Science @Dream Sports: Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience. We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports. This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center. Your Role: Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks Qualifiers: 6 - 10 years of experience in building and maintaining ML solutions at scale Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders Proven track record of designing end to end ML systems which can handle the scale About Dream Sports: Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11 , the world’s largest fantasy sports platform, FanCode , a premier sports content & commerce platform and DreamSetGo , a sports experiences platform. Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology. For more information: https://dreamsports.group/ Dream11 is the world’s largest fantasy sports platform with 230 million users playing fantasy cricket, football, basketball & hockey on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers. Show more Show less

We are seeking a talented MERN Stack Intern to join our dynamic team of innovators and help drive the development of our AI products from conception to deployment. As a MERN Stack Intern, you will collaborate closely with our multidisciplinary team of AI engineers, and domain experts to build robust and scalable software solutions that integrate AI technologies into real-world applications. The ideal candidate is passionate about leveraging technology to tackle complex challenges and has a strong background in both frontend and backend development. Title : MERN Stack Intern Internship Duration : 6 Months - Followed by PPO Location: Hyderabad (Onsite) No of Openings : 6 Work Timings : 2:00 PM to 11 PM IST Strictly 2025 passed outs only You can also apply for this job by clicking on the following link: https://hire.techolution.com/video-resume?role=f94974ce-b7b5-4ef7-aea8-63071f9e8cb9 Roles & Responsibilities: Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications. Develop front-end components using React.js and integrate them with back-end services built with Node.js and Express.js . Design and implement RESTful APIs to facilitate communication between the front-end and back-end systems. Utilize MongoDB or other databases to store and retrieve data efficiently. Implement AI and machine learning algorithms to enhance product functionality and user experience. Write clean, maintainable, and well-documented code following best practices and coding standards. Perform code reviews, debugging, and troubleshooting to ensure the quality and reliability of the software. Required Skills: Bachelor’s or Master’s Degree in Computer Science, Engineering or a related field Proficiency in JavaScript, HTML, CSS, a nd related web technologies. Strong understanding of the MERN (MongoDB, Express.js, React.js, Node.js) stack. Familiarity with AI and machine learning concepts and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) will be a plus. Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative team environment. Strong communication skills and a passion for learning new technologies. About Techolution: Techolution is a consulting firm on track to become one of the most admired brands in the world for "innovation done right" . Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI . We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let’s give you more insights! One of our amazing products with Artificial Intelligence and Internet of Things: 1. https://faceopen.com/ : Our proprietary and powerful AI Powered user identification system which is built on artificial intelligence technologies such as image recognition, deep neural networks, and robotic process automation. (No more touching keys, badges or fingerprint scanners ever again!) Some videos you wanna watch! Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology. Show more Show less

Role - Computer Vision Engineer Experience - 2+ years Location - Indore (Onsite) Responsibilities: Develop, implement, and deploy machine learning models to address specific business challenges. Collaborate with cross-functional teams to gather and analyze data, identify opportunities for leveraging machine learning, and define project goals. Clean, preprocess, and analyze large datasets to extract meaningful insights and features for model training. Stay abreast of the latest developments in machine learning and apply innovative solutions to enhance model performance. Work closely with software engineers to integrate machine learning models into production systems. Conduct thorough testing and validation of models to ensure accuracy, robustness, and scalability. Collaborate with stakeholders to understand feedback and iterate on models for continuous improvement. Document and communicate machine learning solutions effectively to both technical and non-technical audiences. Keep up-to-date with industry best practices and contribute to a culture of learning and knowledge sharing within the team. Qualifications: Bachelor's/Master’s/Ph.D. in Computer Science, Machine Learning, Data Science, or related field. Proven experience working on machine learning projects, with a focus on model development, deployment, and optimization. Proficiency in programming languages such as Python, R, or Java, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms, statistics, and data structures. Experience with data preprocessing, feature engineering, and model evaluation. Solid understanding of software development practices and version control systems. Excellent problem-solving and analytical skills. Effective communication skills and ability to collaborate in a team-oriented environment. Show more Show less

Job description Job Role: Ai Engineer Experience: 3 to 5 Years Location : Client Office – Pune, India Job Type : Full-Time Department : Artificial Intelligence / Engineering Work Mode : On-site at client location About the Role We are seeking a highly skilled and versatile Senior AI Engineer with over 3 to 5 years of hands-on experience to join our client’s team in Pune. This role focuses on designing, developing, and deploying cutting-edge AI and machine learning solutions for high-scale, high-concurrency applications where security, scalability, and performance are paramount. You will work closely with cross-functional teams, including data scientists, DevOps engineers, security specialists, and business stakeholders, to deliver robust AI solutions that drive measurable business impact in dynamic, large-scale environments. Job Summary: We are seeking a passionate and experienced Node.js Developer to join our backend engineering team. As a key contributor, you will be responsible for building scalable, high-performance APIs, microservices, and backend systems that power our products and services. You will leverage modern technologies and best practices to design and implement robust, maintainable, and efficient solutions. You should have a deep understanding of Node.js, NestJS, Express.js, along with hands-on experience designing and building complex backend systems. Key Responsibilities Architect, develop, and deploy advanced machine learning and deep learning models across domains like NLP, computer vision, predictive analytics, or reinforcement learning, ensuring scalability and performance under high-traffic conditions. Preprocess, clean, and analyze large-scale structured and unstructured datasets using advanced statistical, ML, and big data techniques. Collaborate with data engineering and DevOps teams to integrate AI/ML models into production-grade pipelines, ensuring seamless operation under high concurrency. Optimize models for latency, throughput, accuracy, and resource efficiency, leveraging distributed computing and parallel processing where necessary. Implement robust security measures, including data encryption, secure model deployment, and adherence to compliance standards (e.g., GDPR, CCPA). Partner with client-side technical teams to translate complex business requirements into scalable, secure AI-driven solutions. Stay at the forefront of AI/ML advancements, experimenting with emerging tools, frameworks, and techniques (e.g., generative AI, federated learning, or AutoML). Write clean, modular, and maintainable code, along with comprehensive documentation and reports for model explainability, reproducibility, and auditability. Proactively monitor and maintain deployed models, ensuring reliability and performance in production environments with millions of concurrent users. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related technical field. 5+ years of experience building and deploying AI/ML models in production environments with high-scale traffic and concurrency. Advanced proficiency in Python and modern AI/ML frameworks, including TensorFlow, PyTorch, Scikit-learn, and JAX. Hands-on expertise in at least two of the following domains: NLP, computer vision, time-series forecasting, or generative AI. Deep understanding of the end-to-end ML lifecycle, including data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and deployment. Proven experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, or Azure ML). Strong knowledge of containerization (Docker, Kubernetes) and RESTful API development for secure and scalable model deployment. Familiarity with secure coding practices, data privacy regulations, and techniques for safeguarding AI systems against adversarial attacks. Preferred Skills Expertise in MLOps frameworks and tools such as MLflow, Kubeflow, or SageMaker for streamlined model lifecycle management. Hands-on experience with large language models (LLMs) or generative AI frameworks (e.g., Hugging Face Transformers, LangChain, or Llama). Proficiency in big data technologies and orchestration tools (e.g., Apache Spark, Airflow, or Kafka) for handling massive datasets and real-time pipelines. Experience with distributed training techniques (e.g., Horovod, Ray, or TensorFlow Distributed) for large-scale model development. Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible) for scalable and automated deployments. Familiarity with security frameworks and tools for AI systems, such as model hardening, differential privacy, or encrypted computation. Proven ability to work in global, client-facing roles, with strong communication skills to bridge technical and business teams. Share the CV on hr.mobilefirst@gmail.com/6355560672 Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 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 Bachelor’s degree in Computer Science, Data Science, 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, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), 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). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). 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. 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. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

About Impetus Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. Job Role- Data Scientist Experience- 3.5+ years Locations- Indore, Bangalore, Pune, Gurgaon, Noida Job Description Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular. Implementing and fine tuning the AI- generated text prompts using LLMs (eg:-GPT4) Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Usecase derivation and solution creation from structured/unstructured data Story telling, Business communication and Documentation Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure and Databricks Optional - Big Data -Basic knowledge on Spark, Hive Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructured data sets. Develop Cloud based applications including LLM/GenAI and deploy them into production. Qualification Degree – Graduates/Postgraduate in CSE/IT or related field Show more Show less

Job Title: AI/ML Developer Work Mode: On Site Work Type: Full Time Experience: 2 years Position Overview: We are seeking a skilled and experienced AI/ML professional to join our team. This role offers the opportunity to work on impactful, real-world projects involving cutting-edge artificial intelligence and machine learning technologies. You will contribute to the design, development, and deployment of intelligent systems while collaborating with a team of experts in a dynamic, fast-paced environment. Responsibilities: ● Develop AI/ML applications as per project requirements and business goals. ● Research and implement machine learning algorithms and tools or extend existing libraries / frameworks as needed. ● Train ML models and/or fine-tune on custom data. ● Work with the team, on the functional design, process, prototyping, and testing of AI/ML solutions. ● Take ownership and drive results in an agile environment. Skills: ● Experience with deep learning - NLP, Speech or Computer Vision. ● Experience with ML frameworks like PyTorch or Tensorflow. ● Experience developing and fine-tuning Large Language Models (LLMs). ● Experience writing robust code in Python with best practices. ● Experience in REST API development, and high performance implementations. ● Experience working with cloud ecosystems (AWS / Azure / GCP). ● Knowledge of basic algorithms and object-oriented design principles. ● Knowledge of data structures, data modeling, and DB schema design. ● Knowledge of coding standards and git workflows. ● Excellent communication skills with the ability to work across teams. ● Strong analytical and problem solving skills. Qualifications: ● Currently pursuing a graduate degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. ● Strong understanding of machine learning fundamentals and algorithms. ● Proficiency in programming languages such as Python. ● Ability to work independently and collaborate effectively in a team environment. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Location Type: In-person Schedule: Day shift Application Question(s): Will you be able to bring your own Laptop? Are you a resident of Nagpur, Maharashtra? Education: Bachelor's (Required) Experience: AI & ML Developer: 2 years (Required) Work Location: In person

Job Requirements Summary: We are seeking skilled Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state of the art AI capabilities (LLMs), and we now require human expertise to creating a working code base. Duties And Responsibilities Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Work Experience Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e.g., Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e.g., NumPy, SciPy) Knowledge of software testing frameworks (e.g., pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements.txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional Requirements Experience with image processing and computer vision libraries (e.g., OpenCV, scikit-image) Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision Show more Show less

Job Requirements Key Responsibilities: Implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS. Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems. Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data. Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM. Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors. Contribute to the development of robust motion planning and navigation systems. Work with software stacks like ROS2 (Robot Operating System 2) for integration and deployment of perception algorithms. Develop, test, and deploy machine learning models for perception tasks (e.g., object detection, segmentation). Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions. Stay up-to-date with industry trends, research papers, and emerging technologies to innovate and improve perception systems. Work Experience Required Skills: Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities. Understanding of LiDAR technology, point cloud data structures, and processing techniques Proficiency in programming languages such as C/C++, Python, or similar. In-depth knowledge of sensor fusion techniques (Kalman Filters, Extended Kalman Filters, Unscented Kalman Filters, Particle Filters) for combining data from LiDAR, camera, radar, and GNSS. Solid background in computer vision techniques (e.g., object detection, semantic segmentation, feature extraction). Experience in deep learning frameworks such as TensorFlow or PyTorch for object detection and segmentation tasks. Knowledge of SLAM (Simultaneous Localization and Mapping) and localization algorithms, including GraphSLAM, LIO-SAM, GTSAM, ORB-SLAM, and related technologies. Familiarity with ROS2 for the development of perception-based robotic systems and autonomous vehicles. Experience with multi-object tracking algorithms such as DeepSORT, SORT, and Kalman Filter-based tracking. Strong understanding of real-time systems and optimizing for low-latency processing. Proficiency in sensor calibration techniques and algorithms for both intrinsic and extrinsic calibration of LiDAR, cameras, radar, and GNSS. Hands-on experience with PCL (Point Cloud Library) and OpenCV for 3D point cloud and image processing. Experience with parallel computing and optimizing algorithms for real-time performance (e.g., CUDA, OpenCL). Experience with object detection models such as YOLO , Faster R-CNN , SSD , or similar. Show more Show less