Signal Processing Jobs in Ahmedabad
40 Jobs Found
Hardware Technical Lead
Smart Soc Solutions
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
Smart Soc Solutions
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
Senior Hardware Electronics Engineer
Smart Soc 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
Av Engineer
Cavitak Marketing Pvt Ltd
AV Engineer Location: Ahmedabad Experience: 5+ Years Qualification: Graduate / Diploma in any relevant field Employment Type: Full-Time Role Objective: Responsible for the installation, configuration, and maintenance of advanced audiovisual (AV) systems, ensuring seamless integration and optimal performance across client sites. Key Responsibilities: Install and configure AV hardware including video walls, active LED displays, media processors, and other AV equipment. Set up and program Crestron control systems, ensuring proper integration with AV components for smooth operation. Rack-mount servers and manage AV-over-IP switching, cabling, and structured wiring to support AV infrastructure. Perform testing, commissioning, and troubleshooting for all newly installed AV systems. Coordinate closely with project managers, Original Equipment Manufacturers (OEMs), and on-site teams to ensure timely and accurate project delivery. Maintain documentation related to installations, configurations, and service reports. Core Competencies: Strong technical knowledge of AV systems and integration. Proficiency in programming and configuring Crestron or similar control systems. Experience with AV-over-IP networks, cabling standards, and rack mounting. Excellent troubleshooting and problem-solving skills. Ability to work effectively in a team and coordinate with multiple stakeholders. Strong communication and organizational skills. Qualification : Graduate / Diploma in any relevant field
Banking & Finance
Tradebulls
Job Title: Banking & Finance Executive Location: Ahmedabad Experience: 2 4 Years Remuneration: Best in Industry Job Summary: We are seeking a motivated and detail-oriented professional with experience in Banking and Finance operations to join our team in Ahmedabad. The ideal candidate will have a strong understanding of banking procedures, transaction processing, and regulatory compliance, along with the ability to manage daily financial operations efficiently. Key Responsibilities: Authorize and verify RO/SO entries including cash receipts, payments, CMS, ECMS, UPI, RTGS, NEFT, and fund transfers (FTs) Perform end-of-day (EOD) cash balancing and tallying within approved limits Handle clearing operations efficiently and accurately Execute reconciliation processes for banking transactions and accounts Prepare and submit timely reports to stock exchanges as required Ensure regulatory, compliance, and procedural adherence across all operations Coordinate and support internal and external audits Candidate Requirements: 2 3 years of post-qualification experience in Banking or Finance Solid understanding of core banking functions, clearing systems, and financial regulations Prior experience in corporate banking or financial operations preferred Strong analytical, communication, and presentation skills Ability to work independently and maintain high attention to detail This role offers an excellent opportunity for finance professionals to expand their expertise in banking operations while working in a dynamic and regulated environment.
Customer Care Executive
Tradebulls
Job Title: Customer Care Executive Location: Ahmedabad Experience: 0 2 Years Remuneration: Best in Industry Job Summary: We are looking for a proactive and customer-focused Customer Care Executive to join our team in Ahmedabad. The ideal candidate will efficiently handle incoming calls, understand client queries, and provide effective solutions while ensuring excellent customer service and coordination across departments. Key Responsibilities: Attend and manage incoming customer calls professionally and promptly Understand client queries thoroughly and provide accurate, timely solutions Coordinate effectively with various departments to resolve client issues Take ownership of customer problems and follow through until resolution Continuously work towards improving the customer service experience Maintain accurate records and prepare daily, weekly, and monthly MIS reports Demonstrate strong troubleshooting skills to assist customers effectively Exhibit a passion for delivering exceptional customer service Candidate Requirements: Proven work experience as a Customer Service Executive (CSE) in the BFSI industry preferred Proficiency in English is mandatory Freshers pursuing or completed BA, B.Com, M.Com, MA, MBA, or Graduation are welcome to apply Working knowledge of Microsoft Excel and PowerPoint Strong communication, problem-solving, and interpersonal skills If you are passionate about helping customers and eager to grow your career in the BFSI sector, we encourage you to apply.
Data Engineer
Mobio Solutions
Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).
AI/ML Developer
Esparkbiz - Agile Teams On-demand
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.
Ai Developer
Aqe Digital (formerly Aqe Group)
AI Developer Key Responsibilities: AI Development & Integration: Develop and enhance AI-driven solutions using platforms such as Claude.ai, Perplexity.ai, and other Anthropics-powered tools. Integrate AI features into EdTech platforms, supporting personalized learning, adaptive content, and intelligent tutoring systems. EdTech Solutions Development: Design AI applications tailored for the education sector, including virtual tutors, automated assessments, and recommendation engines. Collaborate with educators and curriculum designers to align AI functionalities with educational objectives. Model Training & Fine-Tuning: Train and fine-tune large language models (LLMs) to ensure they meet the specific needs of the education sector. Apply transfer learning to adapt general-purpose models for educational applications. AI Tool Utilization: Utilize Claude.ai, Perplexity.ai, and other emerging Anthropics technologies to develop interactive learning solutions and data-driven insights. Experiment with new AI features to continuously enhance platform capabilities. Research & Innovation: Stay updated on AI and EdTech trends to implement cutting-edge solutions. Conduct research to identify how advanced AI tools can address educational challenges and improve learning outcomes. Collaboration & Stakeholder Engagement: Work closely with product managers, UX designers, and other development teams to deliver AI-powered features for EdTech platforms. Communicate complex AI concepts to both technical and non-technical stakeholders in a clear and concise manner. Requirements: Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus. Technical Skills: Extensive experience with Claude.ai, Perplexity.ai, and other Anthropics systems. Strong proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of natural language processing (NLP), transformer-based models, and large language models (LLMs). Experience with API integrations and deploying AI/ML models in production environments. EdTech Experience: Proven track record of developing AI solutions for educational platforms. Familiarity with challenges in EdTech, including data privacy (e.g., FERPA, GDPR), accessibility, and scalability. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to explain AI concepts to both technical and non-technical audiences. Collaborative mindset with a passion for leveraging AI to improve education. Preferred Experience: Experience with adaptive learning systems, gamification, or AI-powered chatbots in education. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience working on projects that involve real-time AI integrations. Qualification : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.
Ai Ml Python Developer
Einfochips
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
AI/ML Engineer
Rapidops
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.
Data Scientist
Ace Infoway
Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Intern Data Science - Ai/ml
Mobio Solutions
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.
Data Scientist
Aqe Digital (formerly Aqe Group)
Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.
AI/ML Developer
Esparkbiz - Agile Teams On-demand
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.
Ai Ml Developer
Vrinsoft Technology
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.
Ai Engineer
Space O Technologies
Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.
Operator I - Logistics
Cencora
About Cencora Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Responsibilities: Loads, unloads of packages scheduled for pickups/deliveries Checks correctness and completeness of consignment during pickups/deliveries Consults with dispatching on best route available for a timely delivery/pickup Must make sure that the House Way Bill is properly completed by shipper and/or consignee Uses cell phone to immediately report on progress or problem of deliveries, pick ups and to secure permanent availability Verifies good order of packages and/or envelopes Provides a communication link between customers and office staff Any customer feedback must immediately be reported to operation; assure that all tasks assigned to him is fulfilled in a correct and timely manner Must maintain excellent cooperation with other team members Must be courteous with all customers and must always use proper language Must be dependable and avoid unexcused absence Must be presentable, wear clean clothes and well-kept at all times Always follow safety of work Requirements: Valid Driving License Gujratilanguage - native or C1 Ability to read and write English Must have knowledge of Indian transport system and traffic rules Must be attentive to details Must be discipline with good conduct Must be courteous at all times Computer literacy will be an advantage Experience in logistics, cold chain, courier is preferred Reports Directly To: Operations supervisor / Operation Executive / Branch Manager What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements. Full time Affiliated Companies Affiliated Companies: World Courier (India) Private Limited Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Data Mining Executive
Nyusoft Solutions
Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).
Customer Integration / Api / Edi Analyst
Isagebrum Technologies Pvt Ltd
Job Title: Customer Integration / API / EDI Analyst Role Overview: The role of Customer Integration / API / EDI Analyst is to support customers in integrating customer data systems with the ERP systems. This is done through supporting API integrations, configuring and maintaining customer/partner EDI communications, and providing other integration data as needed. The Customer Integration team works directly with customers, third-party integrators, and internal departments. Key Responsibilities Provide integration support for the Vendor s API, validating proper setup and use when applicable. Analyse, design, and develop customer EDI integrations; including communication setup, map editing, and business rule processes. Attend team meetings as an active participant providing input on current issues/tasks and feedback on completed items. Communicate effectively with team members, end users, and customers. Monitor for errors within EDI Package (ARCESB Integration or Manual EDI Process). Work with customers on data integrity issues. Document processes and process changes. Act as a liaison between internal customers and external customers, researching and providing answers to data questions. Escalate items to management or software developers as needed. Minimum Qualifications A.S. (Associate Science) in Information Technologies (2021 or earlier graduation), 2 years of experience with EDI data, or 2 years of SQL/Database experience. Understanding of database structure and ability to query database elements for research. Ability to work in both a team environment and independently. Time Management skills. Analytical skills, the ability to solve problems that may come up during a typical work day. Strong written and verbal communication skills. Strong interpersonal skills with end users, customers, and management. Ability to communicate IT terminology to someone who does not understand technical terms. Fluent in English. Preferred Qualifications Understanding of structured data such as XML/JSON. Understanding of Web Services/API s (SOAP/REST). Database fundamentals including querying and updating tables using SQL. EDI Translation Software Information. ARCESB B2B Integrator. Transaction Sets: 810 (Invoice), 846 (Inventory Advice), 850 (Purchase Order), 855 (Purchase Order ACK), 856 (Advance Ship Notice).
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