7320 Tensorflow Jobs - Page 16

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Team Overview: Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology. What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Qualifications Key qualifications: Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in synthetic data generation, model training, and evaluation in real-world environments. Solid understanding of LLM fine-tuning, prompting, and robustness techniques. Knowledge of AI safety principles and experience identifying and mitigating model risks. Hands-on experience deploying and optimizing models using platforms such as Triton Inference Server. Familiarity with CI/CD, automated testing, and container orchestration tools like Docker and Kubernetes. Experience with prompt engineering: ability to craft, test, and optimize prompts for task accuracy and efficiency Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

About the Role We are an ambitious technology company building innovative products at the intersection of artificial intelligence, accessibility, and digital content. We are seeking a skilled Machine Learning Engineer to join our team and drive the development of advanced machine learning systems across several high-impact applications. Responsibilities End-to-End ML Development: Design, train, and optimize deep learning models for computer vision, natural language processing, and multimodal data. Develop scalable pipelines for data collection, preprocessing, and augmentation. Implement real-time inference solutions suitable for web and mobile platforms. Research & Prototyping: Evaluate state-of-the-art models and adapt them to our product requirements. Build proof-of-concept systems to validate new ideas and features. Infrastructure & Deployment: Package and deploy models into production environments. Optimize models for latency and performance on resource-constrained devices. Collaboration: Work closely with cross-functional teams, including software engineers, designers, and product managers. Participate in code reviews, documentation, and knowledge sharing. Data Engineering & Infrastructure Build scalable data pipelines to collect, clean, and augment multimodal datasets (video, audio, text) Develop model deployment pipelines for mobile and web (TensorFlow Lite, ONNX, PyTorch Mobile) Integrate ML inference with our React Native, Python, and Node.js backends Applied Research & Prototyping Research state-of-the-art models (Transformers, Diffusion, GANs) and adapt them to Product use cases Develop proof-of-concepts and iterate rapidly with the product and design teams Contribute to model evaluation, A/B testing, and continuous improvement Must-Have Skills Experience in applied ML, deep learning, or computer vision Proficiency in Python, TensorFlow, PyTorch Experience with: CNNs and RNNs for video/sequence tasks NLP models (Transformers, BERT, GPT-style architectures) Real-time inference optimization (TensorRT, quantization, pruning) Strong understanding of data engineering workflows Familiarity with integrating ML into production systems (REST APIs, microservices) Nice-to-Have: Experience with LiDAR or 3D spatial data Familiarity with React Native and mobile ML deployment Contributions to open-source ML projects Publications or patents in ML/AI domains What We Offer: Opportunity to build technologies that fundamentally improve millions of lives A collaborative, purpose-driven environment Competitive salary and performance incentives Full ownership of end-to-end ML systems Access to cutting-edge infrastructure Job Type: Full-time Pay: ₹272,000.00 - ₹400,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Job Title: Associate Software Engineer(Trainee) Location: Mohali (On-site) Company: Prologic Technologies Experience Required: 0-6 months Employment Type: Full-time (In Office) About the Role Prologic Technologies is hiring a passionate Python Developer with experience in Machine Learning & AI to build intelligent and scalable solutions for global clients. You’ll collaborate with data scientists and product teams to bring ML models into production, automate workflows, and deliver measurable impact using modern AI tools and frameworks. Key Responsibilities Development & Integration Design, develop, and deploy ML/AI models using Python Integrate AI solutions into web apps, APIs, and internal tools Work on NLP, recommendation systems, classification, and predictive models Data Handling Build pipelines for data collection, cleaning, and transformation. Work with structured and unstructured data (text, images, logs). Optimize performance for large-scale datasets Model Training & Optimization Fine-tune models using real-world data Track and improve model accuracy, latency, and efficiency. Use libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face AI Automation & Deployment Use tools like MLflow, FastAPI, Docker for model lifecycle management. Automate tasks with AI agents or LLMs (OpenAI, Langchain, etc.) Build reusable modules, scripts, and workflows Must-Have Skills Strong Python coding skills. Hands-on experience with ML/AI frameworks: TensorFlow, PyTorch, Scikit-learn. Experience with model deployment using APIs, Docker, or cloud. Familiarity with NLP, computer vision, or deep learning. Git, Jupyter, Pandas, NumPy, REST APIs Nice to Have Experience with OpenAI APIs, Hugging Face Transformers, or LangChain. Exposure to cloud platforms (AWS/GCP/Azure). Knowledge of MLOps or AutoML pipelines Soft Skills We Value Curiosity to learn and experiment with AI. Ownership mindset and attention to detail. Ability to work independently and in teams. Clear communication and documentation habits Ready to Build the Future with AI? Email your resume and a brief write-up (max 300 words) on: A machine learning model you’ve built and deployed. Tools or techniques you used for optimization or automation Job Type: Full-time Schedule: Day shift Work Location: In person

Responsibilities : · Develop and deploy machine learning models to optimize HVAC setpoints, energy consumption, and operational performance. · Design algorithms for predictive maintenance, fault detection, and dynamic thresholding specific to chillers, pumps, cooling towers, and air handling units. · Work with domain experts and controls engineers to integrate data-driven solutions into existing BMS, SCADA, or edge computing platforms. · Analyze historical and real-time sensor data (temperature, pressure, flow, energy) to identify patterns, anomalies, and optimization opportunities. · Build scalable pipelines for data ingestion, cleaning, normalization, and feature engineering using time-series data from HVAC systems. · Conduct what-if analyses and energy simulations to validate model outputs and savings estimates. · Create visualizations, dashboards, and reports that clearly communicate insights and recommendations to technical and non-technical stakeholders. · Collaborate with software engineers to productize algorithms within cloud or on-prem solutions. Requirements : · Bachelor’s or Master’s degree in Data Science, Computer Science, Mechanical Engineering, Energy Systems, or related field. · 3+ years experience applying data science techniques for industrial systems, preferably with HVAC or energy optimization projects. · Strong skills in Python / R / SQL, with libraries such as pandas, scikit-learn, TensorFlow/PyTorch, XGBoost, Neural Network and RL model development. · Proven experience with time-series analysis, forecasting, and anomaly detection. · Knowledge of HVAC equipment, control strategies, and energy efficiency principles. · Hands-on experience with BMS/SCADA/OPC/Modbus/OPC UA data integration. · Familiarity with cloud platforms (AWS, GCP, Azure) and/or edge computing frameworks. · Excellent problem-solving skills, with ability to translate operational challenges into data science solutions. Job Type: Full-time Pay: ₹700,000.00 - ₹900,000.00 per year Schedule: Day shift Application Question(s): What is your expected CTC and notice period? Experience: Total: 3 years (Required) Python: 2 years (Required) SQL: 1 year (Required) Work Location: In person

Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related certifications or experience in NLP & CV. Years of Experience: Minimum 3 years of experience in Deep Learning, NLP,CV, MLOps and its related technologies. Responsibilities: - Design, develop, and deploy state-of-the-art NLP and CV models and algorithm - Collaborate with cross-functional teams to understand requirements and develop customised NLP & CV solutions and have experience in building the python backend using Flask / Django. - Database integration preferably using MongoDB or any other vector databases. - Maintain and improve the performance, accuracy, and efficiency of existing AI/ML models and their deployment on Cloud platforms (AWS) and monitor their performance using MLOps tools such as MLFlow, DVC. - Experience in building End to End data pipelines - Stay updated with emerging AI/ML technologies, LLM’s ,RAG - Conduct regular performance evaluations of AI/ML models using production grade MLOps solutions. - Troubleshoot and resolve any issues arising from the implementation of NLP & CV models. - Develop and monitor the code that runs in production environments using MLOps practices. Requirements: - Strong experience with Deep learning and NLP frameworks such as TensorFlow or other open-source machine learning frameworks. - Proficient in programming languages, such as Python or Java, and experience with AI/ML libraries. - Familiarity with the integration of APIs, such as REST API, OpenAI API, for implementing advanced AI-driven features. - Solid understanding of Machine learning and Deep learning algorithms, concepts, and best practices in a production environment using MLOps. - Experience with big data technologies, such as Hadoop and Spark, is a plus. - Strong problem-solving skills. - Excellent communication and teamwork skills, with the ability to collaborate effectively with team members from various disciplines. - Eagerness to learn and adapt to new technologies and industry trends. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Application Question(s): Have you developed a chatbot? Are you ready to relocate to Coimbatore? Experience: AI: 2 years (Required) Work Location: In person

JobDescription: We are looking for enthusiastic and curious individuals to join us as AI Developer Interns. This internship offers hands-on learning where you’ll work on real AI/ML projects, collaborate with our experienced team, and gain practical skills in AI model development and deployment. Skills Required: Basic knowledge of Python and machine learning concepts, Familiarity with libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch, Understanding of data structures and algorithms, Eagerness to learn and apply AI/ML techniques, Bonus: Experience with chatbot frameworks, NLP, or computer vision Experience: Freshers Location: Coimbatore, India

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

3 - 5 Years 3 Openings Bangalore Role description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 26,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at . You Are: UST is looking for a Data Analyst/ ML expert proficient in data analysis and algorithm development. You will work with our engineering team to develop algorithms. You will develop REST APIs, and work with data visualization tools. The Opportunity : 5+ years of experience in algorithm development Proficiency in Python for data analysis and algorithm development. Experience working with Industrial sensor systems and using time series Analysis to predict failures/anomalies. Experience working with key techniques listed here: segmentation, anomaly detection, change point detection Solid understanding of machine learning algorithms (e.g. scikit-learn) and statistical methods. Experience with data visualization tools (e.g., Matplotlib, Seaborn) to communicate insights effectively. Experience working with REST API and ORCL data systems Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy). Strong problem-solving skills and attention to detail. Excellent communication kills, both written and verbal. Preferred Skills: • Experience in semiconductor manufacturing or a related industry. Techniques like Dynamic time warping, PCA, Sensor fusion etc would be highly desirable Understanding of statistical process control (SPC) and quality control methodologies. Experience with version control systems, such as Git. Knowledge of database management systems (e.g., SQL) and data warehousing solutions. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced anomaly detection. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). What you need: Python,Data Analysis,Algorithm Design,Data Visualization Tools 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 center 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 honor our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Python,Data Analysis,Algorithm Design,Data Visualization Tools About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the Role & Team: Global Payments and Risk is at the forefront of innovation, integrating ground breaking technologies into our products and services. We are dedicated to using the power of machine learning to solve real-world problems, improve user experiences, and drive business outcomes. Join us in shaping the future with your expertise and passion for technology. We are seeking a motivated Software Engineer with a strong background in software development and hands-on experience in machine learning. The ideal candidate should have a platform-centric approach and a proven track record in applying machine learning techniques to develop scalable software solutions. You will be instrumental in crafting innovative applications that safeguard our marketplace to mitigate risks, and curtail financial losses. Join our collaborative team that thrives on creativity and resourcefulness to tackle sophisticated challenges. What you will accomplish: Design, deliver, and optimize high-performance, large-scale applications, data pipelines, and ML service infrastructure with exceptional speed and reliability. Enhance core products by skillfully integrating, fine-tuning, and deploying advanced machine learning models for optimal performance and impact. Command the full software development lifecycle—from initial design and architecture to coding, testing, deployment, and maintenance—while producing clean, efficient, and documented code. Develop and execute sound technical strategies for complex projects, taking into account business goals, timelines, and long-term impact. Work closely with product managers and partners to translate business requirements into robust technical solutions, ensuring alignment across teams. Take ownership of cross-team engineering efforts and guide junior team members, setting a high standard for technical excellence and professional growth. Drive innovation by developing novel solutions to challenging problems and actively contribute to a culture of knowledge sharing by both teaching and learning from others. What you will bring: Masters or Bachelors degree in Computer Science or a related field with 10+ years of experience in building large-scale distributed applications and backend services. Expert with Java, Kotlin to build server side technologies is required. A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design/architecture, and core Statistics knowledge Experience in the close examination of data, computation of statistics, and deriving of data insights Proven experience designing and operating Big Data processing pipelines (Hadoop, Spark) and working with NoSQL databases or key-value stores (e.g., MongoDB, Redis). Hands-on experience with the end-to-end lifecycle of machine learning, including model deployment and application at scale. Experience in AI research or industrial recommendation systems is a significant plus. Experience with cloud services and familiarity with Large Language Models (LLMs) or prompt engineering is highly desirable. A passion for technical excellence, excellent communication skills, and a “can-do” attitude with a willingness to learn and master new technologies. Proven expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras. Strong understanding of machine learning fundamentals, algorithms, and model evaluation techniques. Hands-on experience with ML Ops tools and best practices. Proficiency in working with large scale data in hadoop and spark. Proficient with prediction accuracy, latency, throughput, confidence scores, and drift (data & concept). Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

AI/ ML Engineer Required exp: 3–5+ Years Experience Location: Mohali, Punjab | Domain: AI/ML | Mode: WFO / WFH ChicMic Studios is looking for a passionate AI/ML Engineer with hands-on experience in Python, Django/Flask, AWS, and modern machine learning frameworks like PyTorch, TensorFlow, and transformers. If building scalable AI applications and deploying real-world ML solutions excite you — we’d love to talk! Key Responsibilities: - Build scalable web apps using Django & Flask - Design APIs using Django Rest Framework (DRF) - Deploy apps on AWS (EC2, S3, Lambda, RDS, etc.) - Integrate and serve AI/ML models (NLP, vision, transformers) - Use TensorFlow, PyTorch, scikit-learn for model development - Work with transformer models like BERT/GPT for NLP tasks - Optimize models (quantization, pruning, hyperparameter tuning) - Deploy using TorchServe, TensorFlow Serving, AWS SageMaker - Collaborate across teams and ensure app & model scalability Required Skills: - 3+ years of professional Python development experience - Strong knowledge of Django, Flask, DRF - Experience with AWS services for deployment - Deep understanding of ML concepts and hands-on with PyTorch/TensorFlow - Worked with SQL/NoSQL databases (PostgreSQL, MongoDB) - Exposure to MLOps practices is a big plus - Bonus: Familiar with front-end basics (HTML, CSS, JS) - Strong team player with problem-solving and communication skills Why Join Us: - 5 Days Working - Great Learning Exposure - EPF Benefit - Earned Leaves - High Employee Retention - Work Across 16+ Technologies Let’s Connect! Email: disha.mehta755@chicmicstudios.in _ Contact: +91 98759 52834 _ _ Visit us: https://www.chicmicstudios.in/ _ Come be part of a team that's redefining innovation through AI. Whether you're an expert or on your way there — we support growth, ownership, and real impact. Job Type: Full-time Pay: ₹600,000.00 - ₹1,500,000.00 per month Benefits: Leave encashment Provident Fund Work from home Schedule: Day shift Monday to Friday Education: Bachelor's (Required) Experience: Python: 3 years (Required) Language: English (Required) Work Location: In person

Job Summary: We are looking for a skilled and experienced Python Developer with a strong background in AI/ML , Node.js , and MVC-based frameworks to join our fast-growing engineering team. The ideal candidate will be responsible for designing, developing, and deploying scalable backend systems, integrating AI-driven features, and ensuring seamless application performance across platforms. Key Responsibilities: Develop and maintain scalable backend solutions using Python (Django/Flask/FastAPI). Build RESTful APIs and integrate third-party services using Node.js and microservices architecture. Design and implement AI/ML models, pipelines, and integrate them into production systems. Work with MVC frameworks to develop clean, modular, and maintainable code. Collaborate with front-end developers, data scientists, and DevOps teams to deliver robust solutions. Optimize performance, security, and scalability of backend services. Participate in code reviews, unit testing, and continuous integration processes. Troubleshoot, debug, and upgrade existing software and systems. Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. 5+ years of hands-on experience in Python development. Solid experience with AI/ML libraries like TensorFlow, PyTorch, scikit-learn, OpenCV . Proficient in Node.js , JavaScript (ES6+), and asynchronous programming. Strong understanding of MVC frameworks like Django, Flask, or FastAPI . Experience with API development, OAuth, and JWT authentication. Familiarity with cloud platforms such as AWS, GCP, or Azure . Knowledge of containerization using Docker/Kubernetes is a plus. Strong problem-solving skills, attention to detail, and ability to work in a team. Preferred Qualifications: Exposure to NLP , computer vision , or generative AI projects. Experience with CI/CD pipelines , version control (Git), and Agile methodologies. Experience with NoSQL databases (MongoDB, Redis) and relational databases (PostgreSQL/MySQL). Perks & Benefits: Competitive salary and performance bonuses Flexible working hours and remote work options Learning & development budget Health insurance and wellness programs Fast-paced, collaborative team environment Job Type: Full-time Location Type: In-person Schedule: Morning shift Work Location: In person

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code, maintaining algorithms that integrate seamlessly with generative AI systems and other appropriate technologies. Produces architecture and design artifacts for complex generative AI applications, ensuring design constraints are met by software code development. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to continuously improve generative AI applications and systems. Proactively identifies hidden problems and patterns in data, using these insights to drive improvements in coding hygiene and system architecture specific to generative AI. Contributes to software engineering communities of practice and events that explore new and emerging generative AI technologies. Fosters a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience. Proficient in coding in one or more languages, with a strong emphasis on Python and AI/ML frameworks. Experience in developing, debugging, and maintaining code in a large corporate environment, utilizing modern programming languages and database querying languages. Comprehensive knowledge of the Software Development Life Cycle, with a focus on generative AI applications. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, particularly in the context of AI/ML. Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies. Expertise in AWS and GenAI/ML technologies. Preferred qualifications, capabilities, and skills Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. Familiarity with data engineering practices to support AI model training and deployment. Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

MLOps Requirements : 6-8 Years Noida/Bengaluru/Pune WFO (Hybrid) Good in communication skills - Bachelors or masters degree in computer science, Engineering, or a related field. - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) - Strong understanding of machine learning lifecycle, data pipelines, and model serving. - F17Experience with Generative AI frameworks. - Proficiency in programming languages such as Python, Shell scripting, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.). - Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) - Experience with CI/CD tools like Jenkins, GitLab CI, or similar - Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) - Strong software engineering skills in complex, multi-language systems - Excellent problem-solving skills and ability to troubleshoot complex production issues. - Strong communication skills and ability to collaborate with cross-functional teams. Job Type: Full-time Pay: ₹2,000,000.00 - ₹2,500,000.00 per year Work Location: In person

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques? This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products' supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. We’re looking for experienced machine learning professionals to help us revolutionize how we manufacture Apple’s amazing products. Put your experience to work in this highly visible role. Description Operations Advanced Analytics team is looking for creative and motivated hands on individual contributors who thrive in dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apple’s supply chain and manufacturing processes. As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred Qualifications Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. Proven experience in leading and mentoring teams is a plus. Submit CV

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Responsibilities Design and implement scalable machine learning models from data preprocessing to deployment. Lead feature engineering and model optimization to improve performance and accuracy. Build and manage end-to-end ML pipelines using MLOps practices. Deploy, monitor, and maintain models in production environments. Collaborate with data scientists and product teams to understand business requirements and translate them into ML solutions. Conduct advanced data analysis and build visualization dashboards to support insights. Maintain thorough documentation of models, experiments, and workflows. Mentor junior team members on best practices and technical skills. Skills Must-have 2–3 years of experience in machine learning development, focusing on end-to-end model lifecycle. Proficiency in Python with Pandas, NumPy, and Scikit-learn for advanced data handling and feature engineering. Strong hands-on expertise in TensorFlow or PyTorch for deep learning model development. Good-to-have Experience with MLOps tools such as MLflow or Kubeflow for model management and deployment. Familiarity with big data frameworks like Spark or Dask. Exposure to cloud ML services such as AWS SageMaker or GCP AI Platform. Will be a plus Working knowledge of Weights & Biases and DVC for experiment tracking and versioning. Experience using Ray or BentoML for distributed training and model serving.

We are seeking an experienced and hands-on AI/ML Tech Lead to join our AI/ML team. This role demands a strong technical leader who can architect, guide, and deliver scalable AI solutions while actively contributing to code and model development. The ideal candidate will have deep expertise in machine learning, computer vision, LLMs, and deployment practices, along with prior experience in leading and mentoring a team of engineers. Key Responsibilities: Lead the development and deployment of AI/ML models and API-based services across domains like Computer Vision, LLMs, and Agentic AI. Guide and mentor a team of at least 4 AI/ML engineers, ensuring high-quality technical output and team growth. Own infrastructure and DevOps decisions related to AI model serving, optimization, and monitoring. Collaborate with DevOps, Data Engineering, and Product teams for seamless integration and delivery. Evaluate and adopt emerging AI frameworks and tools to improve development velocity and model performance. Required Skills: 9+ years of experience in AI/ML, with at least 2 years in a technical leadership role guiding a team. Proven hands-on experience in deploying production-grade ML models using Docker, FastAPI/Flask, and CI/CD pipelines. Deep understanding of version control (Git), containerization, and MLOps practices. Proficiency in Python, PyTorch/TensorFlow, OpenCV, and HuggingFace/Transformers. Exposure to agentic AI workflows, prompt engineering, and GPU-based training/inference. Experience working with cloud infrastructure (AWS/GCP/Azure) and managing compute/GPU resources

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 770049

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases.

Position Summary We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company’s AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master’s in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

Required Qualifications Education: B.Tech / M.Tech in Computer Science , Software Engineering , Electronics and Communication Engineering or a related field. Experience: 3+ years of hands-on experience in software engineering with demonstrated proficiency in software development, coding standards, and system integration. Required Skill Set Advanced proficiency in core programming languages such as C/C++ and Python , with demonstrated experience in production-grade applications. Strong foundation and practical experience in data structures, algorithms, design patterns, and object-oriented programming (OOP) principles. Deep understanding of software development best practices, including code optimization, debugging, profiling, and performance tuning in large-scale systems. Proven expertise in unit testing, integration testing , and working with automated test frameworks (e.g., GoogleTest, pytest). Proficient in Git-based workflows , including branching strategies, pull request/code review processes , and experience using GitHub, GitLab, or Bitbucket in collaborative environments. Hands-on experience working in Linux-based development environments , including shell scripting , system-level debugging , and build automation (Make/CMake, Bash, etc.). Experience in full-stack or backend development , with production-level exposure to frameworks like Node.js , Django , Flask , and frontend libraries/frameworks such as React , Angular , or Vue.js . Working knowledge of Android development , Android Studio, Gradle, and relevant toolchains (NDK/SDK), or familiarity with cross-platform mobile frameworks (Flutter, React Native) is a plus. Hands-on experience with cross-platform GUI development , preferably using Qt/QML , and ability to debug UI issues across platforms. P*ractical understanding and usage of Docker* and containerized application development , including writing Dockerfiles, managing container lifecycles, and using docker-compose or Kubernetes (basic). Proficient in writing and optimizing SQL queries , with solid understanding of relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Solid understanding of networking fundamentals , including TCP/UDP protocols, socket programming , REST APIs, and basic security practices (e.g., HTTPS, auth, CORS). Exposure to AI/ML pipelines and hands-on experience with libraries such as PyTorch , TensorFlow , TensorFlow Lite , or ONNX , with the ability to integrate models into applications. Experience with Agile methodologies , participation in code reviews, sprint planning, and familiarity with CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Demonstrated ability to design, develop, and maintain scalable, maintainable, and testable codebases , with experience in contributing to architectural decisions. Good-to-Have Skills Interest in drones , robotics and autonomous systems. Passion for defence technology and eagerness to learn about standards and regulations. Curiosity to work on cutting-edge multidisciplinary projects in a fast-paced R&D environment Why Join Us? We are on a mission to build India's most innovative private defence company, if this triggers something in you lets join our hands. If you hate defence imports, join us, lets make better things at home. Contribute to the development of cutting-edge defence technologies that has real-world applications and makes a difference in national security. We are not another drone company, we are not a white-labeler, we are not here to do what others do. If you like an open playing field, we are the best bet. Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 18/08/2025

Required Qualifications Education: B.Tech / M.Tech in Computer Science , Software Engineering , Electronics and Communication Engineering or a related field. Required Skill Set Proficiency in core programming languages such as C/C++, Python Strong foundation in data structures , algorithms , and OOP Strong understanding of software development best practices , debugging, and performance tuning Strong debugging and testing skills Experience with Git and collaborative workflows using GitHub/GitLab Experience with Linux-based systems , shell scripting , and system-level debugging Familiarity with web development and relevant frameworks like Node.js , Django, Flask, React, Angular, Vue etc. Basics knowledge of Android development and relevant toolchains Familiarity with cross-platform GUI frameworks such as Qt/QML Understanding of Docker and containerized application development Understanding of SQL and familiar with relational/non-relational database concepts Basic understanding of networking fundamentals including protocols, sockets, and security considerations Artificial Intelligence and experience with frameworks and libraries such as PyTorch, TensorFlow, TensorFlow Lite, ONNX etc. Good-to-Have Skills Interest in drones , robotics and autonomous systems. Passion for defence technology and eagerness to learn about standards and regulations. Curiosity to work on cutting-edge multidisciplinary projects in a fast-paced R&D environment Why Join Us? We are on a mission to build India's most innovative private defence company, if this triggers something in you lets join our hands. If you hate defence imports, join us, lets make better things at home. Contribute to the development of cutting-edge defence technologies that has real-world applications and makes a difference in national security. We are not another drone company, we are not a white-labeler, we are not here to do what others do. If you like an open playing field, we are the best bet. Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 18/08/2025

As a Python Developer Intern at Arcitech AI, you will play a crucial role in our advancements in software development, AI, and integrative solutions. This entry-level position offers the opportunity to work on cutting-edge projects and contribute to the growth of the company. You will be challenged to develop Python applications, collaborate with a dynamic team, and optimize code performance, all while gaining valuable experience in the industry. Responsibilities Assist in designing, developing, and maintaining Python applications focused on backend and AI/ML components under senior engineer guidance. Help build and consume RESTful or GraphQL APIs integrating AI models and backend services, following established best practices. Containerize microservices (including AI workloads) using Docker and support Kubernetes deployment and management tasks. Implement and monitor background jobs with Celery (e.g., data processing, model training/inference), including retries and basic alerting. Integrate third-party services and AI tools via webhooks and APIs (e.g., Stripe, Razorpay, external AI providers) in collaboration with the team. Set up simple WebSocket consumers using Django Channels for real-time AI-driven and backend features. Aid in configuring AWS cloud infrastructure (EC2, S3, RDS) as code, assist with backups, monitoring via CloudWatch, and support AI workload deployments. Write unit and integration tests using pytest or unittest to maintain ≥ 80% coverage across backend and AI codebases. Follow Git branching strategies and contribute to CI/CD pipeline maintenance and automation for backend and AI services. Participate actively in daily tech talks, knowledge-sharing sessions, code reviews, and team collaboration focused on backend and AI development. Assist with implementing AI agent workflows and document retrieval pipelines using LangChain and LlamaIndex (GPT Index) frameworks. Maintain clear and up-to-date documentation of code, experiments, and processes. Participate in Agile practices including sprint planning, stand-ups, and retrospectives. Demonstrate basic debugging and troubleshooting skills using Python tools and log analysis. Handle simple data manipulation tasks involving CSV, JSON, or similar formats. Follow secure coding best practices and be mindful of data privacy and compliance. Exhibit strong communication skills, a proactive learning mindset, and openness to feedback. Required Qualifications Currently pursuing a Bachelor’s degree in Computer Science, Engineering, Data Science, or related scientific fields. Solid foundation in Python programming with familiarity in common libraries (NumPy, pandas, etc.). Basic understanding of RESTful/GraphQL API design and consumption. Exposure to Docker and at least one cloud platform (AWS preferred). Experience or willingness to learn test-driven development using pytest or unittest. Comfortable with Git workflows and CI/CD tools. Strong problem-solving aptitude and effective communication skills. Preferred (But Not Required) Hands-on experience or coursework with AI/ML frameworks such as TensorFlow, PyTorch, or Keras. Prior exposure to Django web framework and real-time WebSocket development (Django Channels). Familiarity with LangChain and LlamaIndex (GPT Index) for building AI agents and retrieval-augmented generation workflows. Understanding of machine learning fundamentals (neural networks, computer vision, NLP). Background in data analysis, statistics, or applied mathematics.

What you’ll do: Analyze large and complex datasets to discover trends, patterns, and insights. Apply statistical methods and machine learning techniques to extract valuable information from data. Develop and implement machine learning algorithms and models for predictive and prescriptive analysis. Utilize deep learning techniques for complex data analysis tasks. Utilize Python programming language and libraries such as numpy and pandas to manipulate data, conduct analysis, and develop machine learning models. Identify relevant features and perform feature engineering to enhance the performance of machine learning models. Evaluate the performance of machine learning models using appropriate metrics. Fine-tune models for optimal results. Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand business requirements and provide data-driven solutions. Maintain detailed documentation of data analysis processes, algorithms, and models. Ensure that documentation is clear, concise, and accessible to relevant team members. What you’ll need: Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support) Should be proficient in SQL and BigQuery for analytics and feature generation Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches Familiarity with Vertex AI Matching Engine for scalable vector retrieval Familiarity with TensorFlow Hub, Hugging Face, or other model repositories Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems Should understand how to build end-to-end ML pipelines for search and ranking applications Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR) Should have exposure to CI/CD pipelines and model versioning practices GCP Tools Experience: ML & AI: Vertex AI, Vertex AI Matching Engine, AutoML, AI Platform Storage: BigQuery, Cloud Storage, Firestore Ingestion: Pub/Sub, Cloud Functions, Cloud Run Search: Vector Databases (e.g., Matching Engine, Qdrant on GKE), Elasticsearch/OpenSearch Compute: Cloud Run, Cloud Functions, Vertex Pipelines, Cloud Dataproc (Spark/PySpark) CI/CD & IaC: GitLab/GitHub Actions Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!