9814 Tensorflow Jobs - Page 39

Job Description – AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) Location (Hybrid - Bangalore) About the Role We’re seeking an AI Developer who specializes in agentic AI frameworks —LangChain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi‑agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end‑to‑end deep‑learning life‑cycle (training, scaling, deployment, and monitoring). Key Responsibilities Scope What You’ll Do Agentic AI Frameworks (Primary Focus) Architect and implement multi‑agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision‑making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction Build and fine‑tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data‑ingestion, labeling, and augmentation pipelines. LLM Fine‑Tuning & Retrieval‑Augmented Generation (RAG) Fine‑tune open‑weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain‑specific adapters. Deep Learning at Scale Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence Build robust APIs/micro‑services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. Minimum Qualifications B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git . Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer‑vision models for image classification/extraction. Hands‑on experience fine‑tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. ---------------------------------------------------------------------------------------------------------------------------------------------------------- Job Type: Full-time Pay: Up to ₹1,200,000.00 per year Experience: AI, LLM, RAG: 4 years (Preferred) Vector database, Image classification: 4 years (Preferred) containerization (Docker): 3 years (Preferred) ML/DL systems with strong Python & Git: 3 years (Preferred) LangChain, LangGraph, CrewAI: 3 years (Preferred) Location: Bangalore, Karnataka (Preferred) Work Location: In person

Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and benchmarks to measure, analyze, visualize and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in high growth sector of the tech industry. If you like creative problem solving, are willing to constantly learn new technologies and have “getting things done” attitude, you may be just the person we’re looking for! Job Requirements • Proficient in Python and Python based web-frameworks. Knowledge of other scripting languages like Perl, Shell, Expect is a plus. • Experience in building/supporting automation frameworks (generally python-based) and tools to measure and improve performance of complex software stacks. • Demonstrated ability to quickly learn new software stacks and prototype ideas. • Any experience of GenAI, AI/ML frameworks and tools such as TensorFlow, PyTorch, LangChain etc. will be a strong advantage. • Knowledge of data storage systems and file systems will be a plus. • Ability and willingness to adapt to rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education • 5 or more years of related experience. • A Bachelor of Science degree in Computer Science Engineering, a Master’s Degree, or a PhD.

Greetings from “HCL Software” Is a Product Development Division of HCL Tech!! HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. About Unica Product: - The HCL Unica+ Marketing Platform enables our customers to deliver precision and high-performance Marketing campaigns across multiple channels like social media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. Note: Are you available for a F2F Interview on 2nd August (Saturday) _ Hinjewadi, Pune. We are Seeking a Sr. & Lead Python Developer (Data Science, AI/ML) with +6 Yrs of Strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Qualifications & Skills: - At least 6-12 years. of Python Development Experience with at least 4 years in data science and machine learning. Experience with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with Lang Chain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Responsibilities: - Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms:In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus.

Job Description We are seeking an experienced Python Developer who will oversee a team of skilled engineers while being actively involved in the development of cutting-edge AI solutions. The role requires a blend of technical expertise, leadership ability, and hands-on development skills. The Tech Lead will guide the team through complex projects using Agile, ensuring that all solutions are scalable, maintainable, and of the highest quality. Through mentorship, effective communication, and a passion for innovation, the Tech Lead will drive the team to achieve its full potential and deliver outstanding results. Essential Skills: Proficiency in Python: Strong programming skills in Python. Asynchronous Programming: Experience with asyncio and RabbitMQ. API Development: Expertise in building asynchronous APIs with FastAPI. Database Skills: Proficiency in PostgreSQL or MongoDB. Container Technologies: Experience with Docker/Kubernetes. Version Control: Solid understanding of Git. Preferred Skills: AI Frameworks: Knowledge of PyTorch or TensorFlow, Vector Databases, RAG Data Manipulation: Experience with Pandas for data processes and Jinja for templating. AI and Data Analytics: Understanding of AI/ML and Data analytics technologies like Pandas Team Management Responsibilities: Team Management: Lead a team of engineers, providing mentorship and guidance. Design and Architecture: Oversee design and architecture decisions. Code Reviews: Conduct code and design reviews. Individual Contribution: Balance leadership with hands-on development. Soft Skills: Problem-Solving: Efficiently resolve technical issues. Communication: Strong verbal and written communication skills. Continuous Learning: Passion for learning new technologies and frameworks. Required Skills Python ,GenAI Supported Skills

We are seeking an Lead AI Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Responsibilities: Develop cutting-edge AI solutions for future trends Rapidly prototype and deliver impactful features (DemoBytes) Integrate existing libraries/datasets for novel applications Develop select features from scratch when necessary Collaborate cross-functionally on AI innovations Proactively improve systems based on AI trends Participate in agile development processes Deliver frequent, incremental outputs Balance innovation with practical implementation Requirements and Skills: Master's in Computer Science, Engineering, AI, or a related field 4+ years of experience in developing and deploying machine learning models and AI solutions. Handled team of minimum 5. Strong proficiency in Python; familiarity with Java and R Expertise in machine learning, deep learning, natural language processing (NLP), and computer vision Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras Solid understanding of data structures, algorithms, and software design principles Knowledge of RESTful APIs and microservices architecture Familiarity with agile development methodologies Strong problem-solving skills and ability to work effectively in a team environment Excellent communication skills to explain complex AI concepts to both technical and non-technical stakeholders

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud computing platforms and services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

About Position: Persistent is scaling up its global Digital Trust practice. Digital Trust encompasses the domains of Data Privacy, Responsible AI (RAI), GRC (Governance, Risk & Compliance), and other related areas. This is a rapidly evolving domain globally that is at the intersection of technology, law, ethics, and compliance. Team members of this practice get an opportunity to work on innovative and cutting-edge solutions. We are looking for a highly motivated and technically skilled Responsible AI Testing Analyst with 1–3 years of experience to join our Digital Trust team. In this role, you will be responsible for conducting technical testing and validation of AI systems or agents against regulatory and ethical standards, such as the EU AI Act, AI Verify (Singapore), NIST AI RMF, and ISO 42001. This is a technical position requiring knowledge of AI/ML models, testing frameworks, fairness auditing, explainability techniques, and regulatory understanding of Responsible AI. Role: AI Testing Analyst Location: All PSL Location Experience: 1-3 years Job Type: Full Time Employment What You’ll Do: Perform technical testing of AI systems and agents using pre-defined test cases aligned with regulatory and ethical standards. Conduct model testing for risks such as bias, robustness, explainability, and data drift using AI assurance tools or libraries. Support the execution of AI impact assessments and document the test results for internal and regulatory audits. Collaborate with stakeholders to define assurance metrics and ensure adherence to RAI principles. Assist in setting up automated pipelines for continuous testing and monitoring of AI/ML models. Prepare compliance-aligned reports and dashboards showcasing test results and conformance to RAI principles. Expertise You’ll Bring : 1 to 3 years of hands-on experience in AI/ML model testing, validation, or AI assurance roles. Experience with testing AI principles such as fairness, bias detection, robustness, accuracy, explainability, and human oversight. Practical experience with tools like AI Fairness 360, SHAP, LIME, What-If Tool, or commercial RAI platforms Ability to run basic model tests using Python libraries (e.g., scikit-learn, pandas, numpy, tensorflow/keras, PyTorch). Understanding of regulatory implications of high-risk AI systems and how to test for compliance. Strong documentation skills to communicate test findings in an auditable and regulatory-compliant manner. Preferred Certifications (any one or more): AI Verify testing framework training (preferred) IBM AI Fairness 360 Toolkit Certification AI Certification (Google Cloud) – Vertex AI + SHAP/LIME ModelOps/MLOps Monitoring with Bias Detection – AWS SageMaker / Azure ML / GCP Vertex AI TensorFlow Developer / Python for Data Science and AI / Applied Machine Learning in Python Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

NLP Data Science Intern Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life. Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data. Our Story In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history. Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors. Social Impact: Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc. Our Culture : Idea Meritocracy: The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged. Drivers Not Passengers: We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos. We Figure Out The Answers: We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic. Customer & Mission Obsessed: Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness. Learning and growth We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more. Job Description: As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines. Write code for the development of our ML engines and micro-services pipelines. use, optimize, train, and evaluate state-of-the-art GPT models. research and Develop Agentic pipelines using LLM's. research and develop RAG based pipeline using vector DB's . Essential Requirements: prompt engineering and Agentic LLm frameworks like langchain/llama index good enough undersanding of vectors/tensors and RAG pipelines Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch. In-depth knowledge of DSA, async, python, and containers. Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage. Salary Range: ₹15000 - ₹25000 We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

The role involves both coding skills and broader engineering concepts like system design, API integration, and building complete workflows across multiple technology layers (frontend, backend, database, AI, and infrastructure). The responsibilities go beyond just writing code to include designing solutions and integrating various technologies into a cohesive system. Preferred Skills: Experience with AI frameworks including LLMs (ChatGPT, Claude, etc.), TensorFlow, PyTorch, or Hugging Face Familiarity with API development and integration, particularly for data extraction and processing Should have good experience with webscraping (Selenium, Scrapy, Playwright) Understanding of modern web development with React.js for frontend applications Experience with backend frameworks like FastAPI or Node.js Knowledge of database technologies (PostgreSQL, Elasticsearch, Pinecone or similar vector databases) Understanding of cloud infrastructure on Microsoft Azure, AWS, or GCP Experience building AI pipelines and workflows that connect multiple systems Knowledge of media metrics, PR reporting, and data visualization Strong system design thinking to create efficient AI-driven workflows Prior project experience with automation tools or AI assistants Ability to prototype quickly while maintaining code quality and documentation This is a 3- month on-site Internship role only so the selected candidate will be working from our office in DN Nagar, Andheri West, Mumbai.

We are a fast-growing technology startup based in Cochin, Kerala, focused on building innovative AI-powered software solutions for the healthcare, retail, and hospitality industries. We’re looking for a passionate AI Developer / Engineer to join our team and help us take our products to the next level. Key Responsibilities: Design, develop, and deploy AI/ML models for real-world applications. Build and optimize NLP, Computer Vision, or Predictive Analytics modules. Preprocess data and build datasets for training and inference. Integrate AI models into production-ready software using Python and REST APIs. Collaborate with software developers, product managers, and domain experts. Required Skills: 2–3 years of experience in AI/ML development. Proficient in Python and frameworks like TensorFlow, PyTorch, Scikit-learn . Experience with NLP, OCR, or Computer Vision projects. Solid understanding of data preprocessing , model training , and evaluation metrics . Ability to work with APIs , Databases (SQL/NoSQL) , and cloud tools. Experience with version control systems (e.g., Git). Preferred Skills (Bonus): Experience with AI in healthcare or OCR for documents/prescriptions . Knowledge of LLMs (e.g., GPT, LLaMA) or Generative AI . Deployment experience using Docker , Kubernetes , or AWS/GCP/Azure . Familiarity with Flutter , Node.js , or full-stack environments. Job Type: Full-time Pay: From ₹24,000.00 per month Work Location: In person Expected Start Date: 19/08/2025

Job Summary: We are seeking a highly motivated and skilled LLM Engineer with 2 to 7 years of professional experience to join our growing AI team. The ideal candidate will have a strong background in natural language processing, machine learning, and hands-on experience in developing, deploying, and optimizing solutions built upon Large Language Models. You will play a crucial role in designing, implementing, and maintaining robust and scalable LLM-powered applications, contributing to the full lifecycle of our AI products. Key Responsibilities: LLM Application Development: Design, develop, and deploy innovative applications leveraging state-of-the-art Large Language Models (e.g., GPT, Llama, Gemini, Claude, etc.). This includes working with various LLM APIs and open-source models. Prompt Engineering & Optimization: Develop and refine advanced prompt engineering techniques to maximize LLM performance, accuracy, and desired output for specific use cases. Fine-tuning & Adaptation: Experiment with and implement strategies for fine-tuning pre-trained LLMs on custom datasets to improve performance for domain-specific tasks. Data Preparation & Curation: Work with diverse datasets for training, fine-tuning, and evaluating LLMs, ensuring data quality, relevance, and ethical considerations. Model Evaluation & Benchmarking: Design and execute robust evaluation methodologies to assess LLM performance, identify biases, and ensure alignment with business objectives. Implement A/B testing and other experimentation frameworks. Integration & Deployment: Integrate LLM-powered solutions into existing systems and deploy them to production environments, ensuring scalability, reliability, and low latency. Experience with MLOps practices is highly desirable. Performance Optimization: Identify and implement strategies for optimizing LLM inference, resource utilization, and cost efficiency. Research & Innovation: Stay abreast of the latest advancements in LLMs, NLP, and machine learning research. Proactively explore and propose new technologies and approaches to enhance our AI capabilities. Collaboration: Work closely with cross-functional teams including data scientists, software engineers, product managers, and researchers to deliver impactful AI solutions. Documentation: Create clear and concise documentation for models, code, and deployment procedures. Required Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field. 2-7 years of professional experience in a role focused on Machine Learning, Natural Language Processing, or AI development. Strong proficiency in Python and relevant ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Hands-on experience with Large Language Models (LLMs) , including familiarity with their architectures (e.g., Transformers) and practical application. Experience with prompt engineering techniques and strategies. Solid understanding of NLP concepts, including text pre-processing, embeddings, semantic search, and information retrieval. Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Experience with version control systems (e.g., Git). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills to articulate complex technical concepts to both technical and non-technical audiences. Preferred Qualifications (Bonus Points for): Experience with fine-tuning LLMs on custom datasets. Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes). Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) for RAG applications. Knowledge of various retrieval techniques for Retrieval Augmented Generation (RAG) systems. Understanding of ethical AI principles, bias detection, and fairness in LLMs. Contributions to open-source projects or relevant publications. Experience with distributed computing frameworks.

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva, a leader in business communications, is seeking a skilled AI Technical Lead to join our AI Agents team within our Data & Intelligence Platform group. In this role, you will develop intelligent, multimodal AI agents (voice and chatbots) as part of Nextiva’s next-generation customer experience platform. You will apply expertise in machine learning and software engineering to build AI-driven features that transform how businesses engage with customers. This position offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch to deliver exceptional customer experiences. The Technical Lead is a senior individual contributor who combines deep technical expertise with hands-on execution. They actively write code, take ownership of end-to-end feature delivery, and are involved in architectural and design discussions. They also conduct code reviews, mentor engineers, and collaborate closely with cross-functional teams to deliver scalable, high-quality solutions aligned with the product vision and goals. As a key technical leader within the team, this role offers a strong pathway for professional growth, whether deepening expertise as a highly skilled individual contributor or evolving into engineering management. Key Responsibilities Design & Develop AI Agents: Design, implement, and refine AI agents for Nextiva’s products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Develop conversational logic and multimodal interaction flows leveraging state-of-the-art natural language processing (NLP) and speech recognition techniques. AI Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale. Full Lifecycle Engineering: Own the end-to-end development lifecycle of AI features. Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems. Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times. Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations. Documentation & Mentorship: Document AI agent designs, algorithms, and usage guidelines for future reference. Provide technical guidance and mentorship to junior engineers or new team members as needed. Success in this role will be measured by your ability to deliver AI features that measurably improve customer experiences (e.g., higher self-service resolution rates, faster response times, improved user satisfaction) while maintaining high software quality and ethical AI standards. You will help Nextiva achieve a balanced integration of AI and human interaction, directly contributing to our CX-first vision. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (required). A Master’s degree in AI, Machine Learning, or a related discipline is strongly preferred. Equivalent practical experience in AI/ML development will also be considered. Software Engineering Experience: 8+ years of professional software development experience, including at least 5+ years building AI or machine-learning powered applications. Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment. AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning. Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems. Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch) and/or a general-purpose language like Java or C# for scalable systems. Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi, AWS/GCP/Azure AI services) is expected. Multimodal Interaction Knowledge: Experience with speech and language technologies – for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces. Cloud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure). Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services. Collaboration & Communication: Excellent teamwork and communication skills. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog.

Backend & MLOps Engineer – Integration, API, and Infrastructure Expert 1.⁠ ⁠Role Objective: Responsible for building robust backend infrastructure, managing ML operations, and creating scalable APIs for AI applications. Must excel in deploying and maintaining AI products in production environments with high availability and security standards. The engineer will be expected to build secure, scalable backend systems that integrate AI models into services (REST, gRPC), manage data pipelines, enable model versioning, and deploy containerized applications in secure (air-gapped) Naval infrastructure. 2.⁠ ⁠Key Responsibilities: 2.1. Create RESTful and/or gRPC APIs for model services. 2.2. Containerize AI applications and maintain Kubernetes-compatible Docker images. 2.3. Develop CI/CD pipelines for model training and deployment. 2.4. Integrate models as microservices using TorchServe, Triton, or FastAPI. 2.5. Implement observability (metrics, logs, alerts) for deployed AI pipelines. 2.6. Build secured data ingestion and processing workflows (ETL/ELT). 2.7. Optimize deployments for CPU/GPU performance, power efficiency, and memory usage 3.⁠ ⁠Educational Qualifications Essential Requirements: 3.1. B.Tech/ M.Tech in Computer Science, Information Technology, or Software Engineering. 3.2. Strong foundation in distributed systems, databases, and cloud computing. 3.3. Minimum 70% marks or 7.5 CGPA in relevant disciplines. Professional Certifications: 3.4. AWS Solutions Architect/DevOps Engineer Professional 3.5. Google Cloud Professional ML Engineer or DevOps Engineer 3.6. Azure AI Engineer or DevOps Engineer Expert. 3.7. Kubernetes Administrator (CKA) or Developer (CKAD). 3.8. Docker Certified Associate Core Skills & Tools 4.⁠ ⁠Backend Development: 4.1. Languages: Python, FastAPI, Flask, Go, Java, Node.js, Rust (for performance-critical components) 4.2. Web Frameworks: FastAPI, Django, Flask, Spring Boot, Express.js. 4.3. API Development: RESTful APIs, GraphQL, gRPC, WebSocket connections. 4.4. Authentication & Security: OAuth 2.0, JWT, API rate limiting, encryption protocols. 5.⁠ ⁠MLOps & Model Management: 5.1. ML Platforms: MLflow, Kubeflow, Apache Airflow, Prefect 5.2. Model Serving: TensorFlow Serving, TorchServe, ONNX Runtime, NVIDIA Triton, BentoML 5.3. Experiment Tracking: Weights & Biases, Neptune, ClearML 5.4. Feature Stores: Feast, Tecton, Amazon SageMaker Feature Store 5.5. Model Monitoring: Evidently AI, Arize, Fiddler, custom monitoring solutions 6.⁠ ⁠Infrastructure & DevOps: 6.1. Containerization: Docker, Podman, container optimization. 6.2. Orchestration: Kubernetes, Docker Swarm, OpenShift. 6.3. Cloud Platforms: AWS, Google Cloud, Azure (multi-cloud expertise preferred). 6.4. Infrastructure as Code: Terraform, CloudFormation, Pulumi, Ansible. 6.5. CI/CD: Jenkins, GitLab CI, GitHub Actions, ArgoCD. 6.6. DevOps & Infra: Docker, Kubernetes, NGINX, GitHub Actions, Jenkins. 7.⁠ ⁠Database & Storage: 7.1. Relational: PostgreSQL, MySQL, Oracle (for enterprise applications) 7.2. NoSQL: MongoDB, Cassandra, Redis, Elasticsearch 7.3. Vector Databases: Pinecone, Weaviate, Chroma, Milvus 7.4. Data Lakes: Apache Spark, Hadoop, Delta Lake, Apache Iceberg 7.5. Object Storage: AWS S3, Google Cloud Storage, MinIO 7.6. Backend: Python (FastAPI, Flask), Node.js (optional) 7.7. DevOps & Infra: Docker, Kubernetes, NGINX, GitHub Actions, Jenkins 8.⁠ ⁠Secure Deployment: 8.1. Military-grade security protocols and compliance 8.2. Air-gapped deployment capabilities 8.3. Encrypted data transmission and storage 8.4. Role-based access control (RBAC) & IDAM integration 8.5. Audit logging and compliance reporting 9.⁠ ⁠Edge Computing: 9.1. Deployment on naval vessels with air gapped connectivity. 9.2. Optimization of applications for resource-constrained environment. 10.⁠ ⁠High Availability Systems: 10.1. Mission-critical system design with 99.9% uptime. 10.2. Disaster recovery and backup strategies. 10.3. Load balancing and auto-scaling. 10.4. Failover mechanisms for critical operations. 11.⁠ ⁠Cross-Compatibility Requirements: 11.1. Define and expose APIs in a documented, frontend-consumable format (Swagger/OpenAPI). 11.2. Develop model loaders for AI Engineer's ONNX/ serialized models. 11.3. Provide UI developers with test environments, mock data, and endpoints. 11.4. Support frontend debugging, edge deployment bundling, and user role enforcement. 12.⁠ ⁠Experience Requirements 12.1. Production experience with cloud platforms and containerization. 12.2. Experience building and maintaining APIs serving millions of requests. 12.3. Knowledge of database optimization and performance tuning. 12.4. Experience with monitoring and alerting systems. 12.5. Architected and deployed large-scale distributed systems. 12.6. Led infrastructure migration or modernization projects. 12.7. Experience with multi-region deployments and disaster recovery. 12.8. Track record of optimizing system performance and cost

Buil Building and Deploying ML Models Design, build, optimize, deploy and monitor machine learning models for production use cases. Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments. Work with data engineers to design data pipelines that feed into ML models. Optimize model performance, ensuring low latency and high accuracy. Leading and Architecting ML Solutions Lead a team of ML Engineers, providing technical mentorship and guidance. Architect ML solutions that integrate seamlessly with business applications. Ensure models are explainable, auditable, and aligned with business goals. Drive best practices in MLOps, CI/CD, and model monitoring. Collaborating and Communicating Work closely with business stakeholders to understand problem statements and define ML-driven solutions. Collaborate with software engineers, data engineers, platform engineers and product managers to integrate ML models into production systems. Present technical concepts to non-technical stakeholders in an easy-to-understand manner. What We’re Looking For: Machine Learning Expertise Deep understanding of supervised and unsupervised learning, deep learning, and NLP techniques, and large language models (LLMs). Experience in training, fine-tuning, and deploying ML and LLM models at scale. Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn etc. Production and Cloud Deployment Hands-on experience deploying models to AWS, GCP, or Azure. Understanding of MLOps, including CI/CD for ML models, model monitoring, and retraining pipelines. Experience working with Docker, Kubernetes, or serverless architectures is a plus. Data Handling Strong programming skills in Python. Proficiency in SQL and working with large-scale datasets. Familiarity with distributed computing frameworks like Spark or Dask is a plus. Leadership and Communication Ability to lead and mentor a team of ML Engineers and collaborate effectively across functions. Strong communication skills to explain technical concepts to business teams. Passion for staying updated with the latest advancements in ML and AI. Experience Needed: 6+ years of experience in machine learning engineering or related roles. Experience in deploying and managing ML and LLM models in production. Proven track record of working in cross-functional teams and leading ML projects.

Seeking a highly skilled and experienced Senior .NET Full Stack Developer with a passion for leveraging AI and machine learning to drive innovation and efficiency in software development to work out of Kozhikode. As a key contributor, you will be responsible for designing, developing, and maintaining robust and scalable web applications, leveraging your expertise in both .NET backend and React frontend technologies. If you are a passionate and skilled .NET Full Stack Developer with a passion for AI-driven development and a desire to deliver innovative solutions, we encourage you to read further and apply to hrsal@alhindonline.com Key Responsibilities: · Participate in requirements analysis · Collaborate with internal teams to produce software design and architecture ● BackendDevelopment: ○ Design and develop robust and scalable .NET backend services using .NET Core and Entity Framework Core. ○ Implement RESTful APIs to expose data and functionality to frontend applications. ○ Integrate with various data sources, including databases, APIs, and messaging systems. ○ Ensure code quality, maintainability, and performance optimization. ● Frontend Development: ○ Design and develop user-friendly and responsive web interfaces using React, JavaScript, and HTML/CSS. ○ Implement complex UI components and interactions. ○ Optimize frontend performance and user experience. ○ Collaborate with UX/UI designers to create visually appealing and intuitive interfaces. ● Full Stack Development: ○ Workseamlessly between frontend and backend development, ensuring seamless integration and data flow. ○ Troubleshoot and resolve complex technical issues across the full stack. ○ Contribute to the overall architecture and design of the application. ● AI-Driven Development: ○ Research and implement AI and machine learning techniques to enhance software development processes. ○ Utilize AI tools for code generation, testing, and automated debugging. ○ Explore the application of AI for predictive analytics, anomaly detection, and personalized user experiences. ● DevOpsandCI/CD: ○ Collaborate with DevOps teams to implement CI/CD pipelines and automate deployment processes. ○ Utilize tools like Jenkins, Azure DevOps, or GitLab CI/CD to streamline development and deployment workflows. ○ Contribute to infrastructure as code initiatives to manage and provision infrastructure resources. ● OtherResponsibility ○ Participate in requirements analysis ○ Collaborate with internal teams to produce software design and architecture ○ Test and deploy applications and systems ○ Revise, update, refactor and debug code ○ Improve existing software ○ Develop documentation throughout the software development life cycle (SDLC) ○ Serveasanexpert on applications and provide technical support. Required Skills and Experience: ● 5+years of hands-on experience in .NET development, with a strong focus on .NET Core , Entity Framework Core, C#, LINQ,CQRS, Clean Architecture,microservices,modular monolithic ● Proven experience in developing complex web applications using React, JavaScript, and HTML/CSS. ● Strong understanding of RESTful API design and development. ● Proficiency in database technologies like SQL Server ,Postgres or other relational databases. ● Experience with cloud platforms (Azure, AWS, or GCP) and their services. ● Solid understanding of software development principles, design patterns, and best practices. ● Experience with version control systems like Git. ● Strong problem-solving, troubleshooting, and analytical skills. ● Excellent communication and interpersonal skills. ● Ability to work independently and as part of a team. ● A keen interest in AI and machine learning, with a desire to explore their application in software development. ● Experience with AI frameworks and tools like TensorFlow, PyTorch, or ML.NET is a plus.

About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. Position Summary We are looking for a dynamic Engineering Manager with a strong technical foundation in both AI/ML and networking technologies. This role demands a leader who can manage and mentor a team of engineers, drive execution on technically complex projects, and interface directly with clients and internal stakeholders to translate requirements into impactful solutions. Key Responsibilities Lead a team of engineers working on AI-driven solutions in the networking domain. Lead a team of engineers working on AI-driven solutions in the networking and network security domain Act as a hands-on technical leader guiding design, architecture, and implementation. Work closely with customers, solution architects, and delivery teams to understand requirements and propose solutions. Collaborate with clients' product managers, architects, and engineering stakeholders to align on technical direction, scope, and roadmap. Drive execution of AI-based automation, analytics, and optimization use cases in networking projects. Ensure timely delivery of high-quality software aligned with client expectations. Stay abreast of industry trends in AI and networking to identify innovation opportunities. Foster a collaborative and performance-driven culture within the team. Lead internal product accelerators and contribute to reusable solution assets and frameworks Drive engineering best practices: Agile/Scrum, CI/CD, code quality, design reviews, architecture decision records. Oversee hiring and onboarding of engineers and work closely with recruitment to build high-calibre teams. Identify and manage risks proactively—technical, resourcing, or delivery-related. Coach, mentor, and grow engineering leads and senior developers; foster a culture of learning, collaboration, and ownership Basic Qualifications 8+ years of experience in engineering roles, with at least 2 years in a team leadership or engineering management capacity. 12+ with at least 4 yrs in team leadership or engineering management capacity Proven experience in projects at the intersection of AI/ML and networking technologies. Deep understanding of network communication protocols (e.g., TCP/IP, SNMP, BGP, OSPF). Practical knowledge of AI/ML tools and techniques (e.g., Python, TensorFlow/PyTorch, Scikit-learn). Strong problem-solving and analytical skills with a hands-on mindset. Proven experience managing multiple product engineering teams in a client-facing services environment Excellent communication and stakeholder engagement skills. Knowledge of cloud-native platforms (AWS, Azure, GCP), containerization, and microservices Preferred Qualifications Experience working with OEMs, MSPs, or service providers in the networking domain. Understanding of SDN, NFV, or cloud networking architectures (AWS/GCP/Azure). Exposure to AI/ML Ops tools (e.g., MLflow, Kubeflow, SageMaker). Ability to manage cross-functional teams and lead delivery across multiple projects. Excellent communication and stakeholder engagement skills. Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Company: Omnipresent Robot Technologies Pvt. Ltd. Location: Noida Sector-80| Type: Full-Time About Us: Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 mission by developing the perception and navigation module for the Pragyaan rover. Join our dynamic team to work on satellite-based defense projects and grow your career! Position Overview: We are looking for an AI/ML Engineers for Senior and junior role to assist in the development of AI models and algorithms for our satellite-based defense project. You will work with a skilled team to train, test, and deploy ML models, gaining hands-on experience in cutting-edge AI applications. Key Responsibilities: • Assist in designing and developing AI models using ML/DL techniques. • Implement, test, and fine-tune ML models using popular frameworks (e.g., TensorFlow, PyTorch). • Load and deploy models on embedded platforms (like Jetson Orin NX). • Analyze datasets, preprocess data, and extract features for training. • Support code compatibility and optimization on embedded systems. • Monitor and evaluate model performance, suggesting improvements. • Collaborate with senior engineers to integrate AI models into production environments. • Stay updated on the latest AI trends and apply new techniques to projects. Qualifications: • B.Tech. in Computer Science, IT, or related field. • 0.6-5 years of experience in ML model development. • Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Understanding of data preprocessing, model training, and deployment. • Basic knowledge of GPU acceleration (CUDA) and embedded platforms (Jetson Orin NX). • Familiarity with data processing tools (e.g., NumPy, Pandas). • Strong problem-solving and analytical skills. • Effective communication and team collaboration abilities. Why Join Us? • Be part of high-impact satellite defense projects. • Learn from experts in AI and embedded systems. • Work in a start-up environment that fosters innovation and creativity.

AI/ML Engineer Responsibilities: - Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics. - Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes. - Perform data mining and feature extraction using advanced statistical and machine learning techniques. - Evaluate and validate the performance of machine learning models using appropriate metrics and techniques. - Optimize and fine-tune machine learning models for optimal performance in production environments. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence research. - Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members. - Provide technical leadership and mentoring to other team members as needed. Requirements: - 4+ years of experience in developing and deploying machine learning models in a professional setting. - Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning. - Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing. - Proficient in programming languages, such as Python. - Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn. - Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js. Preferred Qualifications: - Experience in working with cloud platforms, such as AWS, Google Cloud, or Azure. - Knowledge of natural language processing, computer vision, or deep learning techniques. - Experience developing end-to-end machine learning pipelines, from data gathering and preprocessing to model deployment and monitoring.

Job Description: We are seeking a highly skilled and experienced C++ Engineer to join our team. The primary responsibility will be converting existing Python-based computer vision and deep learning (CVDL) code into optimized, production-ready C++ code. The ideal candidate should be proficient in working with C++ frameworks and libraries, including TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy, etc. The resulting C++ code will be used across Windows and Ubuntu environments, with a strong emphasis on cross-platform compatibility and performance optimization. Key Responsibilities: Convert Python-based CVDL (Computer Vision and Deep Learning) pipelines into optimized C++ implementations. Implement models and algorithms using C++ frameworks such as TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy, and other relevant libraries. Optimize code for performance, ensuring efficient use of resources, especially in real-time processing pipelines. Ensure cross-platform compatibility, building C++ code that works seamlessly on both Windows and Ubuntu using CMakeLists. Debug, profile, and optimize deep learning inference pipelines, addressing issues related to memory usage, speed, and accuracy. Collaborate with AI teams to understand the Python codebase, gather requirements, and ensure the successful porting of features. Maintain up-to-date knowledge of the latest developments in C++ frameworks, deep learning inference engines, and performance optimization techniques. Requirements: Experience: - 5+ years of experience in C++ software development, specifically in converting Python code into C++. - 3 + years of experience with computer vision and deep learning frameworks such as TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy , Mediapipe and Bazel build system. - Solid experience in cross-platform development for both Windows and Ubuntu using CMakeLists. Programming Skills: - Proficiency in C++ (C++11/14/17) with a deep understanding of memory management, multi-threading, and performance optimization. - Familiarity with Python, specifically in computer vision and deep learning applications, to interpret and convert code accurately. - Strong knowledge of CMake for building cross-platform applications. Technical Expertise: - Experience working with deep learning models and converting models between different formats (e.g., TensorFlow to ONNX, PyTorch to NCNN, etc.). - Experience with OpenCV and other related computer vision libraries. - Understanding of inference optimizations such as quantization, pruning, and model acceleration will be plus. Communication: - Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment. - Ability to communicate effectively with cross-functional teams, including data scientists, ML engineers, and Python developers.

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: 29th July 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 29th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

We are hring Software Engineers @ Hyderabad location | Experience : 4-5 Yrs | Education : CS or EE/CE degree | NP : 30 Days Mandatory skills: ML, C++ - Must Hands on experience in C/CPP, Python, NumPy, open CLC++ Hand on experience in ML frameworks like TensorFlow, PyTorch and ONNX Hand on experience in TVM REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES: Hands on experience in C, C++, Python, NumPy, ML frameworks like TensorFlow, PyTorch, ONNX and others. Good knowledge of Linear algebra Knowledge of NWs optimization, graph lowering and finetuning Good analytical skills Good understanding of algorithms, OOPS concepts and SW Design Patterns. Good debugging skills. Strong knowledge of TVM FW Experience or knowledge in HW Architecture is an added advantage. Experience on full stack framework development l ike any of Multimedia frameworks, GStreamer, OpenVx, OpenMax, OpenGL, OpenGL-ES, Vulkun, Mesa, etc. is a plus. Experience on driver development on Linux platform . CLC/assembly compute kernels JOB RESPONSIBILITIES: Bring up, test and debug neural networks using ML frameworks like TensorFlow, PyTorch, ONNX etc Bring up and enhance TVM features Analyze and enhance efficiency & stability of neural networks. Develop & maintain Model Conversion Tool software stack Network Optimization, Node fusion, graph lowering, adding custom operations, profiling & performance fine tuning.

Key Responsibilities · Design, build, and deploy advanced ML models (regression, classification, NLP, etc.). · Architect and implement deep learning pipelines using PyTorch or TensorFlow. · Develop and fine-tune LLM-based applications (e.g., RAG pipelines, prompt engineering, embeddings). · Lead and mentor junior data scientists and drive code quality and reuse. · Apply MLOps practices: CI/CD for ML, model monitoring, reproducibility. · Write basic SQL queries to support data processing and feature engineering. · Collaborate cross-functionally with product, engineering, and data engineering teams. Requirements · 5+ years of experience in machine learning and AI. · Expert in Python, data science libraries, and deep learning frameworks. · Strong knowledge of regression, classification, optimization algorithms, and evaluation metrics. · Hands-on experience with PyTorch or TensorFlow (preferably both). · Proven experience working with LLMs and prompt-based models. · Experience in MLOps and deploying ML models to production. · Basic proficiency in SQL for querying structured data. · Proficient in using Git/GitHub for collaborative development. Good to Have · Experience building or integrating AI agents using LangChain, AutoGen, or similar tools. · Knowledge or experience with reinforcement learning algorithms. Activities: 1. Data Engineering -code optimization 2. Feature Eng -code optimization 3. Model training -code optimization 4. API creation, make it deployable 5. Audit, logging, perf & drift handling 6. Deployment and Support

miBiome Therapeutics is a biotech company pioneering data-driven solutions in human health through genomics and research. We're a growing, research-first team working on real-world biological problems that require advanced machine learning and statistical modeling. What You’ll Do: As a Machine Learning Engineer at miBiome, you’ll collaborate closely with bioinformaticians and research scientists to develop, train, and validate models that power genomics-based insights. Your work will involve: Building and optimizing ML models for large-scale genomics data Designing pipelines to process, integrate, and analyze structured and unstructured biological datasets Contributing to model evaluation and interpretation in the context of real-world genomics challenges Working cross-functionally with biology, data, and engineering teams What We’re Looking For: 1 – 2 years of experience in machine learning, preferably with real-world dataset experience Strong grasp of supervised and unsupervised learning techniques Proficiency in Python (TensorFlow/PyTorch, scikit-learn, etc.) Solid understanding of data preprocessing, model evaluation, and feature engineering Familiarity with version control (Git) and collaborative dev workflows Bonus: Experience with genomics data, biomedical datasets, or biotech R&D environments Why Join Us: Opportunity to work on cutting-edge health tech challenges Work alongside top talent in biology, engineering, and data science Flexible work environment with deep scientific impact Be part of a mission to transform human health through data

About the Role At Best NanoTech Academy , we’re building a next-generation learning platform focused on semiconductors, AI, and deep tech — and we believe data science sits at the heart of delivering a transformative learning experience. We’re looking for a Data Scientist who can help us uncover meaningful insights from learner behavior, content engagement, and platform analytics. Your work will directly influence how thousands of students across the world access knowledge, improve their skills, and succeed in the booming semiconductor and electronics sectors. Key Responsibilities Analyze user behavior, course engagement, and learner outcomes to improve platform performance Build real-time dashboards and data pipelines to track key metrics across the academy Develop predictive models to personalize content, forecast learner progress, and reduce drop-off Collaborate with marketing, content, and product teams to drive data-informed decisions Run A/B tests and implement data-backed recommendations to enhance user experience Explore AI/ML tools to bring automation and intelligent features into the learning journey Skills & Qualifications 2–5 years of experience in data science, preferably in edtech, analytics, or SaaS environments Strong proficiency in Python, R, SQL, and data visualization tools like Tableau, Power BI, or Looker Solid grasp of statistical modeling, hypothesis testing, and machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) Experience working with product data, marketing funnels, or learner engagement metrics Bonus: Experience with LMS platforms, education tech tools, or adaptive learning algorithms Be part of a vision-led startup transforming semiconductor workforce education across the globe

Position: AI & Electronics Controls Intern (In-Person, Full time) Location: Nagpur, Maharashtra Type: Internship (3–6 months, On-site) Start Date: Immediate Stipend: ₹5,000/month Company: Softform.in – Engineering Consulting & Technology Solutions About the Role: Softform.in is looking for a hands-on, technically curious AI & Electronics Controls Intern to support the development of advanced hardware systems. You’ll contribute to TerraSuit – a wearable microclimate system – as well as work on real-time AI visual processing projects involving object detection, tracking, and user assistance. You’ll be working on embedded platforms like Arduino, ESP32, and Raspberry Pi, combining traditional electronics with AI integration. Key Responsibilities: Build and test embedded systems using Arduino, ESP32, and Raspberry Pi Program sensors, actuators, and control logic (PWM, feedback loops, etc.) Integrate visual AI modules (e.g., object detection, gesture recognition) using OpenCV, TensorFlow Lite, or Edge Impulse Work on camera integration for real-time perception and user-assist features Prototype and debug low-power systems and handle battery/power management Assist with PCB prototyping, wiring, soldering, and system testing Collaborate with software, mechanical, and AI teams to ensure system-level integration Requirements: Based in Nagpur or willing to relocate Comfortable with breadboards, soldering, multimeter, and basic diagnostic tools Pursuing or recently completed a degree in Electronics, Mechatronics, Instrumentation, Electrical, or a related field Familiarity with Arduino, ESP32, Raspberry Pi, and basic C/C++ or Python Comfortable working with sensors, actuators, and communication protocols (I2C, SPI, UART) Exposure to basic computer vision tools like OpenCV, MediaPipe, or Edge Impulse Working knowledge of AI tools (ChatGPT, Colab, Notion AI, etc.) Preferred (Bonus): Experience deploying AI models to ESP32-CAM or Raspberry Pi PCB design experience (KiCad, EasyEDA, etc.) Familiarity with wearable devices, IoT systems, or embedded Linux Experience with MQTT or HTTP-based device communication What You’ll Gain: Experience building real-world AI-integrated hardware systems Mentorship from experienced engineers and exposure to full product development cycles Internship certificate, strong recommendation, and possible full-time offer How to Apply: Apply on Linkedin or send your resume to kuldipb@softform.in with subject AI Intern application. "Application – AI & Electronics Controls Intern" (Optional: Include links to GitHub, projects, or a short note on your interest in the role)