ML Engineers Jobs in Ahmedabad

Senior Embedded Software/Firmware Engineer Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are seeking an experienced Senior Embedded Software/Firmware Engineer to join our core R&D team focused on developing robust and high-performance embedded systems for industrial-grade products. You will own the firmware development process throughout the product lifecycle, from initial design to final deployment. Prior experience in avionics or cutting-edge consumer electronics will be highly valued. Key Responsibilities Lead the design and development of embedded firmware for microcontrollers, SoCs, and custom hardware platforms. Architect and implement low-level device drivers, middleware components, and protocol stacks. Collaborate closely with hardware engineers, QA teams, and systems engineers to define firmware requirements and integration plans. Perform board bring-up, system debugging, and optimize firmware for performance and reliability. Develop and execute comprehensive test plans covering unit, integration, and system-level testing. Maintain high standards for code quality, maintainability, and traceability using version control systems (Git, SVN) and issue-tracking tools. Contribute to firmware architecture, coding standards, and conduct peer code reviews. Document software designs, test outcomes, and interface specifications thoroughly. Stay current with emerging embedded technologies, tools, and industry standards. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, Computer Engineering, or related field. 6 8 years of professional experience in embedded software/firmware development. Strong proficiency in C/C++ programming, real-time operating systems (RTOS), and bare-metal firmware development. Hands-on experience with ARM Cortex-M, STM32, or similar microcontroller families. Solid understanding of communication protocols such as SPI, I2C, UART, CAN, Ethernet, PCIe, and USB. Skilled in debugging tools including JTAG, oscilloscopes, and logic analyzers. Proven experience across full development cycles: design, implementation, debugging, testing, and documentation. Preferred Qualifications Experience working in avionics environments (DO-178C, ARP-4754) or safety-critical development. Familiarity with scripting languages (Python, Bash) for automation and testing purposes. Knowledge of high-speed interfaces or FPGA firmware interactions. Understanding of MISRA C, secure coding practices, and industry coding standards. Be a part of a dynamic and innovation-driven team. Work on real-world, deployed products in industrial and emerging technology sectors. Opportunity to work on advanced platforms and collaborate with domain experts. Competitive salary with clear and transparent career growth opportunities. Qualification : Bachelors or Masters degree in Electronics, Electrical, Computer Engineering, or related field

Hardware Technical Lead Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are looking for an experienced and motivated Hardware Technical Lead to lead our expanding Product Engineering Services team focused on industrial applications. While the primary emphasis is on industrial-grade systems, experience in avionics, automotive, or medical electronics is highly desirable. This leadership role entails overseeing end-to-end hardware development, managing a team of engineers, and driving high-quality project execution, while also fostering team growth through hiring and mentoring. Key Responsibilities Lead and manage a team of 8 10 hardware engineers across multiple projects. Guide the design and development of reliable hardware systems tailored for industrial applications. Ensure compliance with design standards, industry regulations (FCC, CE, MIL-STD, DO-160), and project-specific quality objectives. Own technical delivery from concept through deployment, meeting project timelines, budgets, and specifications. Collaborate closely with software, mechanical, and systems engineering teams to ensure seamless product integration. Conduct technical reviews, design audits, and system validation activities. Drive continuous improvement in hardware design methodologies and development processes. Establish and enforce best practices for design documentation, configuration management, and version control. Play an integral role in hiring, onboarding, and mentoring engineers. Support project managers with technical planning, risk management, and resource allocation. Stay informed on emerging technologies and assess their potential for project enhancement. Qualifications Bachelor s or Master s degree in Electronics, Electrical Engineering, or related discipline. 10+ years of hands-on hardware development experience, including at least 3 years in a leadership role. Strong expertise in industrial-grade hardware design (power electronics, embedded platforms, control systems). Experience in avionics, automotive, or medical electronics is a significant advantage. Proficiency in schematic capture and PCB design tools such as Altium Designer, OrCAD, or KiCAD. Familiarity with embedded systems, microcontrollers, System on Modules (SoMs), and high-speed digital designs. Solid understanding of compliance and qualification standards (MIL-STD, DO-160, FCC). Proven leadership and mentoring capabilities. Excellent communication and technical documentation skills. Benefits Lead and grow a high-performing hardware engineering team. Work on diverse, innovative projects spanning industrial, avionics, and consumer sectors. Gain exposure to global engineering standards and best practices. Competitive compensation package and comprehensive benefits. Opportunities for professional growth through leadership, innovation, and continuous learning. If you re a driven hardware engineer ready to lead and innovate in the smart industrial product space, we encourage you to apply and join our core engineering team. Qualification : Bachelors or Masters degree in Electronics, Electrical Engineering, or related discipline

Tech Lead Embedded Software/Firmware Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are looking for a skilled Tech Lead Embedded Software/Firmware to lead our growing embedded systems team focused on delivering robust solutions for industrial applications, with opportunities to work on avionics and high-end consumer electronics. The ideal candidate is hands-on, technically strong, and adept at mentoring engineers while driving the delivery of production-quality embedded software. Key Responsibilities Define software architecture and guide design decisions for embedded products across industrial and consumer domains. Lead development of embedded firmware for microcontrollers, SoCs, and FPGAs using C/C++ and assembly language. Drive Board Support Package (BSP) development including bootloaders, device drivers, and OS bring-up (Linux, RTOS). Collaborate with hardware teams on board bring-up, hardware validation, and early prototyping. Architect and implement firmware for interfaces such as UART, SPI, I2C, CAN, USB, Ethernet, GPIO, and memory controllers. Integrate RTOS or embedded Linux based on project needs, including kernel customization and peripheral support. Establish and enforce coding standards, conduct code reviews, and promote embedded software best practices. Maintain embedded development environments, toolchains, and build systems (e.g., Make, CMake, Yocto). Manage the entire software lifecycle from requirements gathering through testing, validation, and release. Coordinate with cross-functional teams including hardware, QA, and manufacturing for seamless product delivery. Mentor and provide technical training to junior and mid-level engineers. Lead root cause analysis and debugging for complex system-level hardware/software issues. Ensure compliance with industry standards and safety frameworks (e.g., MISRA, ISO 26262, IEC 61508). Work closely with project and program managers on timelines, resource allocation, and risk management. Required Qualifications Bachelor s or Master s degree in Electronics, Electrical, or Computer Engineering. 10+ years of embedded firmware/software development experience, including 2+ years in a leadership role. Expertise in embedded C/C++, real-time operating systems, and microcontroller/System on Module platforms. Experience with firmware bring-up, bootloaders, RTOS (FreeRTOS, ThreadX, etc.), and communication protocol stacks. Familiarity with version control systems (Git, SVN) and CI/CD pipeline implementation. Strong knowledge of industrial communication protocols, safety-critical systems, and hardware interfacing. Exposure to compliance frameworks such as DO-178, MISRA, or ISO 26262 is a plus. Preferred Qualifications Experience in avionics or consumer electronics firmware development. Proficiency in scripting languages and Python-based test automation. Knowledge of embedded Linux and FPGA interfacing or signal processing. Benefits Opportunity to work on cutting-edge projects across industrial, avionics, and emerging technology sectors. Lead and grow a high-performing embedded software team with career advancement prospects. Competitive salary and a dynamic, collaborative work environment. Qualification : Bachelors or Masters degree in Electronics, Electrical, or Computer Engineering

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Job Title: AI/ML Developer Experience: 2-3 Years Positions: 2 Location: Rajkot, Gujarat Job Type: Full-Time Job Overview: We are looking for skilled and motivated AI/ML Developers with 2-3 years of experience to join our innovative team in Rajkot. The ideal candidates will have a strong background in building AI and machine learning solutions, leveraging deep learning, natural language processing, and generative AI technologies to drive business value and product excellence. Key Responsibilities: Develop and deploy AI/ML models using programming languages like Python, C++, R, or Scala. Build and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, nltk, transformers, and LangChain. Apply deep learning, computer vision, NLP, and generative AI techniques to solve complex problems. Work with Large Language Models (LLMs) including training on custom datasets and integrating third-party APIs like OpenAI API. Perform data preprocessing, feature engineering, exploratory data analysis (EDA), model selection, hyperparameter tuning, and model evaluation. Analyze and visualize data, creating dashboards and visual aids to support decision-making. Utilize SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB for data storage and retrieval. Collaborate with cross-functional teams in an Agile environment and adopt DevOps practices for continuous integration and deployment. Stay updated with emerging AI/ML trends and technologies, implementing them into products and services. Communicate technical concepts effectively to stakeholders. Participate in designing scalable AI/ML solutions and contribute to the overall architecture. Bonus skills: Experience with Python web frameworks (Django, Flask, FastAPI), ML Ops, and cloud platforms. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Minimum 2 years of professional experience in AI/ML development. Strong programming skills in Python, C++, R, or Scala. Hands-on experience with machine learning libraries and frameworks. Solid understanding of machine learning algorithms: supervised, unsupervised, and reinforcement learning. Knowledge of LLMs, generative AI models, and integration of AI APIs. Experience in data preprocessing, feature engineering, model tuning, and evaluation. Good grasp of SQL and NoSQL databases. Strong analytical, problem-solving, and communication skills. Experience with Agile methodologies and DevOps is a plus. Personal Attributes: Eager learner with a passion for AI/ML innovations. Proactive, self-motivated, and able to work independently or as part of a team. Excellent collaboration and stakeholder management skills. Opportunity to work on cutting-edge AI/ML projects. Collaborative work environment in Rajkot fostering innovation. Continuous learning and professional growth opportunities. Apply now to be part of our AI-driven future and contribute to building intelligent solutions that make an impact! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

Sr. Software Engineer | AI & Cloud Technologies | Generative AI | NLP | Ahmedabad Location: Ahmedabad Reports to: Director, Software Engineering Experience: 5+ Years Tech Stack: Generative AI, NLP, Deep Learning, Cloud (AWS, Azure, GCP), Docker, Kubernetes, CI/CD About Conga At Conga, we are committed to creating a thriving environment where innovation, team growth, and open communication are at the heart of everything we do. We simplify complexity for our customers by aligning teams, processes, and technologies to deliver transformational revenue growth. Our mission is to optimize the Revenue Lifecycle Management process, helping businesses achieve sustainable growth and maximize customer lifetime value. Conga's approach to business is grounded in The Conga Way, a set of values shaped by direct input from our colleagues. Job Overview: Sr. Software Engineer - AI & Cloud Technologies As a Senior Software Engineer at Conga in Ahmedabad, you will play a critical role in building next-generation products focused on AI models, NLP, and cloud technologies. In this role, you ll serve as a subject matter expert in AI, building scalable systems that support Conga s Cloud Revenue Lifecycle Management platform. You will collaborate closely with cross-functional teams, ensuring your solutions meet business needs and drive the future of Conga's AI-powered products. Why It s a Big Deal Your contributions as a Senior Software Engineer will directly impact the development of scalable AI components and cloud-based solutions for Conga s product offerings. This role is ideal for someone passionate about building and deploying cutting-edge AI models, especially those utilizing Generative AI and NLP. You will have the chance to tackle complex challenges and create meaningful solutions that optimize critical business workflows for Conga s customers. Key Responsibilities: AI Model Development: Design, develop, and deploy Generative AI models, including Natural Language Processing (NLP) and Deep Learning models. Fine-tune LLMs (such as GPT-4, BERT, Llama) to meet specific business needs. AI Pipelines: Build and maintain RAG (Retrieval-Augmented Generation) pipelines, integrating external data with AI models to enhance document processing. Cloud & Deployment: Architect and deploy AI solutions within AWS or Azure cloud environments, leveraging Docker and Kubernetes for containerization and cloud deployment. Microservices Architecture: Design and develop reusable components, microservices, and APIs that enable seamless integration with other Conga products and platforms. Cross-functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts effectively to all stakeholders. Agile Development: Participate in Agile sprints and collaborate with team members to ensure successful project delivery, from initial concept to deployment. Qualifications: 5+ years of experience in developing AI models, including NLP, Generative AI, and Deep Learning. Hands-on experience with LLMs such as GPT-4, BERT, Llama, with practical experience in fine-tuning and deploying these models for business use cases. Experience in building and maintaining RAG pipelines for enhancing document and data analysis capabilities. Proficiency with cloud technologies (AWS, Azure, GCP) and understanding of cloud architecture and cloud design patterns. Expertise in containerization tools (Docker, Kubernetes) and CI/CD pipelines. Strong knowledge of microservices and API development. Bachelor's degree in Engineering or related field (advanced degrees are a plus). What Will Give You an Edge: Effective Communication: You excel at initiating and driving discussions, translating complex AI solutions into actionable business value. Proactive & Entrepreneurial: You take the initiative to propose new projects that improve team performance and solve complex challenges. Passionate Problem Solver: Self-driven, you enjoy solving complex technical challenges and are dedicated to delivering high-quality, scalable solutions. Mentorship: You will be a mentor for junior engineers, helping them grow and fostering a collaborative, innovative environment. What We Offer: Dynamic and inclusive culture where innovation is encouraged and every voice matters. Opportunities to work with cutting-edge technologies like Generative AI, NLP, and Cloud computing. Agile development environment that values creativity and technical expertise. Collaborative work culture where you can contribute ideas and solve impactful business problems. Qualification : Bachelor's degree in Engineering or related field (advanced degrees are a plus).

ArchiCAD: CAD-BIM Technician/ArchiCAD Technician Responsibilities: BIM/CAD/ArchiCAD Professional: Possess a solid understanding of architectural drawings and collaborate with teams to ensure quality documentation. Construction Document Creation: Generate construction document sets based on design drawings, ensuring accurate and clear representation of the project scope. Understanding Architectural, Civil, and Structural Drawings: Review and interpret architectural, civil, and structural drawings to create and refine construction documents. Team Collaboration & Quality Control: Work closely with the team to ensure drawing accuracy and consistency, reviewing and checking the work of team members to meet project standards. BIM/CAD Software Operation: Operate BIM or CAD software to develop architectural models, drawings, and documentation efficiently. Requirements: Educational Qualifications: Bachelor s degree in Civil Engineering (B.Tech), Architecture (B.Arch.), or a Diploma in Architecture. Experience: 4-5 years of experience in preparing architectural drawings and detailing sets using Revit/ArchiCAD, with a minimum of 3 years of experience in outsourcing architectural drawings (Australia, NZ, USA). Skills & Expertise: Proficiency in architectural modeling, drawing, and documentation. Strong experience in Revit/ArchiCAD is highly preferable. Experience in working with international standards and outsourcing practices will be a plus. Qualification : Bachelors degree in Civil Engineering (B.Tech), Architecture (B.Arch.), or a Diploma in Architecture.

Revit / BIM Professional Revit Architect Responsibilities: Revit/BIM Expertise: Utilize Revit for architectural modeling and ensure a strong understanding of architectural drawings to produce accurate models and documentation. Construction Document Creation: Create comprehensive construction document sets based on design drawings, ensuring precision and alignment with project specifications. Family Creation & Management: Be familiar with Revit families and ensure efficient use and creation of families for various architectural elements. Architectural, Civil, and Structural Drawings: Demonstrate proficiency in creating construction drawings across architectural, civil, and structural domains, ensuring they meet quality and industry standards. Offshore Project Experience: Experience in working with offshore projects (Australia, US, UK) is a significant advantage, ensuring familiarity with international project requirements and standards. Exposure to LOD (Levels of Development): Experience with LOD 300, LOD 400, and other development stages will be a plus, ensuring accurate and comprehensive models. Requirements: Qualification: Bachelor s degree in Architecture (B. Arch) is necessary. Experience: Proven experience with Revit and BIM, particularly in architectural modeling and construction documentation. Preferred Experience: Experience in offshore projects (Australia, US, UK) is a significant advantage. Exposure to LOD 300, 400, or similar levels of development will be a plus. Qualification : Bachelors degree in Architecture (B. Arch) is necessary.

Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services

Job Title: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.

Technical Skills: Strong experience in Python, R, or Scala for data analysis and modeling. Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong command on NLP domain models. Hands-on expertise with time-series forecasting techniques (e.g., ARIMA, LSTM, GRU), building CICD pipeline and model monitoring system. Experience working with large datasets and distributed computing tools (Hadoop, Spark). Optimize and fine-tune models for performance, accuracy, and scalability. Experience in reinforcement learning or online learning techniques. Expertise in handling large-scale datasets, using tools like Pandas, NumPy, and SQL. Knowledge of cryptocurrency markets, blockchain, and financial modeling. Proficiency in cloud platforms like AWS, GCP, or Azure for deploying machine learning models.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Description The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. The Technical Lead will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data Implement and execute model evaluation experiments to test and pick the best model for a certain task Build high throughput and automated data pipelines to allow Data analysis and model training Lead feature engineering to select the most relevant features in datasets to train models on Pick the right set of evaluation metric to test model candidates for deployment Use MLOps principles to allow continuous model tuning and performance improvements 2. AI/ML Model Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise: Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design: Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development: Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must Worked on pre-processing pipelines ensuring security compliances standards are met Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.

Minimum of 3 years of experience in AI-based application development and able to creat Python APIs. Design, develop, and implement generative AI models using state-of-the-art techniques. Fine-tune pre-existing models to improve performance and accuracy. Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure. Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech. Ensure the scalability, reliability, and performance of AI-based applications and systems. Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage. Expertise in Python programming and frameworks like FastAPI, Django etc Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks. Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions. Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform. Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques. Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning. A proven track record of delivering impactful AI-driven solutions. The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, and other deep learning architectures (CNNS, RNNS, GANs, etc.) and familiarity with APIs like OpenAI or vertex AI Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Proficiency in Python with the ability to get hands-on with coding at a deep level. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Senior Hardware Electronics Engineer Location: Ahmedabad Job Type: Full-Time Category: Embedded Solutions Job Summary We are seeking a passionate and experienced Senior Hardware Electronics Engineer to join our rapidly growing Product Engineering Services (PES) team. The focus is primarily on industrial applications, with a strong advantage for candidates experienced in avionics or advanced consumer electronics. You will lead the end-to-end development of robust, high-performance electronic systems while collaborating closely with cross-functional teams spanning hardware and software. Key Responsibilities Lead the architecture, design, and development of electronic hardware systems tailored for industrial applications. Design high-reliability PCBs and embedded systems emphasizing signal integrity, power management, and thermal performance. Perform component selection, schematic capture, and supervise PCB layout adhering to industry best practices. Demonstrate expertise in microcontroller, microprocessor, and DSP-based system design. Collaborate with layout engineers, firmware/software developers, and mechanical teams to ensure seamless product integration. Conduct simulations, performance testing, and troubleshooting to validate designs against functional and environmental requirements. Ensure designs comply with relevant industry standards and regulations (IEC, EN, DO-160, MIL-STD-461). Mentor junior engineers and contribute to knowledge sharing within the hardware team. Drive innovation by staying current with the latest trends in industrial and embedded electronics. Partner with project managers to meet development milestones and customer expectations. Qualifications Bachelor s or Master s degree in Electronics, Electrical Engineering, or related discipline. 8+ years of experience in hardware design and development, preferably for industrial-grade products. Strong knowledge of embedded systems design and hardware-software integration. Proficiency with ECAD tools such as Altium Designer, OrCAD, Mentor Graphics, or equivalent. Hands-on experience in design validation, testing, debugging, and productization. Familiarity with standards and regulatory compliance (IEC, CE, FCC); experience with DO-160 or MIL-STD is a plus. Exposure to FPGA-based systems and high-speed digital designs is advantageous. Excellent analytical skills with meticulous attention to detail. Strong communication skills and ability to collaborate effectively in teams. Preferred Qualifications Experience in avionics, automotive, or medical electronics domains. Knowledge of product certification processes. Familiarity with configuration management and PLM tools such as IBM DOORS, Jama, Jira, PDM. Experience working in global, multi-disciplinary teams across geographies. Benefits Opportunity to work on innovative, cutting-edge projects. Collaborative and forward-thinking work environment. Clear pathways for career growth and professional development. Competitive salary and comprehensive benefits package. If you are a driven and skilled hardware engineer ready to shape the future of smart industrial products, we encourage you to apply and join our core engineering team. Qualification : Bachelors or Masters degree in Electronics, Electrical Engineering, or related discipline

Senior Design Engineer Electrical (Automation & Control Panel Design) Department: Engineering / Control Panel Production Location: Ahmedabad Qualification: B.E. in Electrical Engineering OR Diploma in Electrical Engineering with relevant experience Job Summary We are seeking a detail-oriented and experienced Senior Design Engineer with expertise in Electrical Control Panel Design, PLC Automation Systems, and proficient use of EPLAN Electric P8 and AutoCAD. The candidate will lead the design and modification of automation control panels, develop system architecture based on P&ID and project specifications, and prepare accurate as-built drawings. Key Responsibilities Design and modify Automation PLC Control Panels including MCC, VFD, and SCADA system architectures. Prepare General Arrangement (GA) drawings, Schematic Diagrams, I/O Lists, and Bill of Materials (BOM) using EPLAN Electric P8 and AutoCAD. Analyze and interpret P&ID diagrams to develop Automation System Architecture and related control panel designs. Create and manage EPLAN Macros, Part List Reports, Termination Diagrams, and Structure Identifiers. Prepare Single Line Diagrams (SLD) for HT and LT electrical systems. Develop accurate and optimized BOMs aligned with client requirements and project specifications. Assist in cost estimation and material selection for automation systems during project proposal stages. Ensure all designs comply with industry standards, quality guidelines, and customer specifications. Collaborate with cross-functional teams including Project Management, Procurement, and Manufacturing. Support preparation of as-built drawings and project documentation for completed installations. Required Skills and Experience Minimum 3 years of experience in Electrical Design Engineering with a focus on industrial automation and control panel design. Proficient in EPLAN Electric P8 and AutoCAD 2D software. Strong understanding of PLC, VFD, MCC, SCADA system design, and relevant electrical safety standards. Hands-on experience with panel layout, wiring schematics, and system architecture design. Expertise in EPLAN reporting tools, macro creation, and part list management. Ability to read and interpret P&ID, electrical drawings, and technical specifications accurately. Experience in cost estimation and material selection aligned to system design. Excellent attention to detail, strong communication, and documentation skills. Benefits Opportunities for professional development and technical training Exposure to diverse and challenging industrial automation projects Collaborative and innovative work environment Qualification : B.E. in Electrical Engineering