We’re Hiring: MLOps Engineer (Azure) 🔹 Location: Ahmedabad, Gujarat 🔹 Experience: 3–5 Years * Immediate joiner will be prefer Job Summary: We are seeking a skilled and proactive MLOps Engineer with strong experience in the Azure ecosystem to join our team. You will be responsible for streamlining and automating machine learning and data pipelines, supporting scalable deployment of AI/ML models, and ensuring robust monitoring, governance, and CI/CD practices across the data and ML lifecycle. Key Responsibilities:MLOps: ● Design and implement CI/CD pipelines for machine learning workflows using Azure DevOps , GitHub Actions , or Jenkins . ● Automate model training, validation, deployment, and monitoring using tools such as Azure ML , MLflow , or KubeFlow . ● Manage model versioning, performance tracking, and rollback strategies. ● Integrate machine learning models with APIs or web services using Azure Functions , Azure Kubernetes Service (AKS) , or Azure App Services . DataOps: ● Design, build, and maintain scalable data ingestion , transformation , and orchestration pipelines using Azure Data Factory , Synapse Pipelines , or Apache Airflow . ● Ensure data quality, lineage, and governance using Azure Purview or other metadata management tools. ● Monitor and optimize data workflows for performance and cost efficiency. ● Support batch and real-time data processing using Azure Stream Analytics , Event Hubs , Databricks , or Kafka . Required Skills: ● Strong hands-on experience with Azure Machine Learning , Azure Data Factory , Azure DevOps , and Azure Storage solutions . ● Proficiency in Python , Bash , and scripting for automation. ● Experience with Docker , Kubernetes , and containerized deployments in Azure. ● Good understanding of CI/CD principles , testing strategies, and ML lifecycle management. ● Familiarity with monitoring , logging , and alerting in cloud environments. ● Knowledge of data modeling , data warehousing , and SQL . Preferred Qualifications: ● Azure Certifications (e.g., Azure Data Engineer Associate , Azure AI Engineer Associate , or Azure DevOps Engineer Expert ). ● Experience with Databricks , Delta Lake , or Apache Spark on Azure. ● Exposure to security best practices in ML and data environments (e.g., identity management, network security). Soft Skills: ● Strong problem-solving and communication skills. ● Ability to work independently and collaboratively with data scientists, ML engineers, and platform teams. ● Passion for automation, optimization, and driving operational excellence. Show more Show less

Job description We’re Hiring: MLOps Engineer (Azure) 🔹 Location: Ahmedabad, Gujarat 🔹 Experience: 3–5 Years * Immediate joiner will be prefer Job Summary: We are seeking a skilled and proactive MLOps Engineer with strong experience in the Azure ecosystem to join our team. You will be responsible for streamlining and automating machine learning and data pipelines, supporting scalable deployment of AI/ML models, and ensuring robust monitoring, governance, and CI/CD practices across the data and ML lifecycle. Key Responsibilities: MLOps: ● Design and implement CI/CD pipelines for machine learning workflows using Azure DevOps, GitHub Actions, or Jenkins. ● Automate model training, validation, deployment, and monitoring using tools such as Azure ML, MLflow, or KubeFlow. ● Manage model versioning, performance tracking, and rollback strategies. ● Integrate machine learning models with APIs or web services using Azure Functions, Azure Kubernetes Service (AKS), or Azure App Services. DataOps: ● Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Synapse Pipelines, or Apache Airflow. ● Ensure data quality, lineage, and governance using Azure Purview or other metadata management tools. ● Monitor and optimize data workflows for performance and cost efficiency. ● Support batch and real-time data processing using Azure Stream Analytics, Event Hubs, Databricks, or Kafka. Required Skills: ● Strong hands-on experience with Azure Machine Learning, Azure Data Factory, Azure DevOps, and Azure Storage solutions. ● Proficiency in Python, Bash, and scripting for automation. ● Experience with Docker, Kubernetes, and containerized deployments in Azure. ● Good understanding of CI/CD principles, testing strategies, and ML lifecycle management. ● Familiarity with monitoring, logging, and alerting in cloud environments. ● Knowledge of data modeling, data warehousing, and SQL. Preferred Qualifications: ● Azure Certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate, or Azure DevOps Engineer Expert). ● Experience with Databricks, Delta Lake, or Apache Spark on Azure. ● Exposure to security best practices in ML and data environments (e.g., identity management, network security). Soft Skills: ● Strong problem-solving and communication skills. ● Ability to work independently and collaboratively with data scientists, ML engineers, and platform teams. ● Passion for automation, optimization, and driving operational excellence. Show more Show less

We’re Hiring: MLOps Engineer (Azure) harshita.panchariya@tecblic.com Location: Ahmedabad, Gujarat Experience: 3–5 Years Employment Type : Full-Time * An immediate joiner will be preferred. Job Summary: We are seeking a skilled and proactive MLOps/DataOps Engineer with strong experience in the Azure ecosystem to join our team. You will be responsible for streamlining and automating machine learning and data pipelines, supporting scalable deployment of AI/ML models, and ensuring robust monitoring, governance, and CI/CD practices across the data and ML lifecycle. Key Responsibilities MLOps : Design and implement CI/CD pipelines for machine learning workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate model training, validation, deployment, and monitoring using tools such as Azure ML, MLflow, or KubeFlow. Manage model versioning, performance tracking, and rollback strategies. Integrate machine learning models with APIs or web services using Azure Functions, Azure Kubernetes Service (AKS), or Azure App Services. DataOps Design, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure Data Factory, Synapse Pipelines, or Apache Airflow. Ensure data quality, lineage, and governance using Azure Purview or other metadata management tools. Monitor and optimize data workflows for performance and cost efficiency. Support batch and real-time data processing using Azure Stream Analytics, Event Hubs, Databricks, or Kafka. DevOps & Infrastructure Provision and manage infrastructure using Infrastructure-as-Code tools such as Terraform, ARM Templates, or Bicep. Set up and manage compute environments (VMs, AKS, AML Compute), storage (Blob, Data Lake Gen2), and networking in Azure. Implement observability using Azure Monitor, Log Analytics, Application Insights, and Skills : Strong hands-on experience with Azure Machine Learning, Azure Data Factory, Azure DevOps, and Azure Storage solutions. Proficiency in Python, Bash, and scripting for automation. Experience with Docker, Kubernetes, and containerized deployments in Azure. Good understanding of CI/CD principles, testing strategies, and ML lifecycle management. Familiarity with monitoring, logging, and alerting in cloud environments. Knowledge of data modeling, data warehousing, and SQL. Preferred Qualifications Azure Certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate, or Azure DevOps Engineer Expert). Experience with Databricks, Delta Lake, or Apache Spark on Azure. Exposure to security best practices in ML and data environments (e.g., identity management, network security). Soft Skills Strong problem-solving and communication skills. Ability to work independently and collaboratively with data scientists, ML engineers, and platform teams. Passion for automation, optimization, and driving operational excellence. harshita.panchariya@tecblic.com Show more Show less

We are seeking an experienced Data Engineer to join our data team. As a Senior Data Engineer, you will work on various data engineering tasks including designing and optimizing data pipelines, data modeling, and troubleshooting data issues. You will collaborate with other data team members, stakeholders, and data scientists to provide data-driven insights and solutions to the organization. The experience required is of 3+ Years. Responsibilities Design and optimize data pipelines for various data sources. Design and implement efficient data storage and retrieval mechanisms. Develop data modeling solutions and data validation mechanisms. Troubleshoot data-related issues and recommend process improvements. Collaborate with data scientists and stakeholders to provide data-driven insights and solutions. Coach and mentor junior data engineers in the team. Requirements 3+ years of experience in data engineering or related field. Strong experience in designing and optimizing data pipelines, and data modeling. Strong proficiency in programming languages Python. Experience with big data technologies like Hadoop, Spark, and Hive. Experience with cloud data services such as AWS, Azure, and GCP. Strong experience with database technologies like SQL, NoSQL, and data warehousing. Knowledge of distributed computing and storage systems. Understanding DevOps power automation and Microsoft Fabric will be an added advantage. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Data Science, or a Computer related field (Master's degree preferred). This job was posted by Himanshu Chavla from Tecblic.

Job Title: Data Engineer Location: Ahmedabad Work Mode: On-Site Opportunity Experience: 4+ Years Employment Type: Full-Time Availability: Immediate Joiner Preferred Join Our Team as a Data Engineer We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure. As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization. Your Key Responsibilities Architect, build, and maintain scalable and reliable data pipelines from diverse data sources. Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs. Implement data validation, transformation, and quality monitoring processes. Collaborate with cross-functional teams to deliver impactful, data-driven solutions. Proactively identify bottlenecks and optimize existing workflows and processes. Provide guidance and mentorship to junior engineers in the team. Skills & Expertise Were Looking For 3+ years of hands-on experience in Data Engineering or related roles. Strong expertise in Python and data pipeline design. Experience working with Big Data tools like Hadoop, Spark, Hive. Proficiency with SQL, NoSQL databases, and data warehousing solutions. Solid experience in cloud platforms - Azure Familiar with distributed computing, data modeling, and performance tuning. Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus. Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team. Qualifications Bachelors degree in Computer Science, Data Science, or a related field (ref:hirist.tech)

Job Description : Machine Learning Engineer LLM, Agentic AI, Computer Vision, and MLOps Location : Ahmedabad Experience : 4 to 6 years Employment Type : Us : Responsibilities Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, wed love to have you on Responsibilities : Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency. Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation. Integration: Work closely with software and product teams to integrate models into production-ready applications. Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data. Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices. Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI. DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place. Technical Mentorship: Support and mentor junior ML and data : Core Technical Skills Strong Python skills for machine learning and computer vision. Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV. Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN). Strong knowledge of NLP tasks, image/video processing, and real-time inference. Experience in cloud platforms: AWS, GCP, or Azure. Familiarity with Docker, Kubernetes, and serverless deployments. Proficiency in SQL, Pandas, NumPy, and data wrangling & MLOps Skills : Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc. Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Familiarity with container orchestration and Kubernetes-based ML model deployment. Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon. Understanding of model versioning, model registry, and automated testing/validation in ML workflows. Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK Skills (Good to Have) : Knowledge of Agentic AI systems and use cases. Experience with generative models (e.g., GANs, VAEs) and RL-based architectures. Prompt engineering and fine-tuning for LLMs in specialized domains. Working with vector databases (e.g., Pinecone, FAISS, Weaviate). Distributed data processing using Apache Spark, Skills : Strong foundation in mathematics, including linear algebra, probability, and statistics. Deep understanding of data structures and algorithms. Comfortable handling large-scale datasets, including images, video, and multi-modal Skills : Strong analytical and problem-solving mindset. Excellent communication skills for cross-functional collaboration. Self-motivated, adaptive, and committed to continuous learning (ref:hirist.tech)

Job Title : MERN Stack Developer Location : Ahmedabad (On-Site) Onshore Opportunity Experience : 5 to 7 Joining : Immediate Joiners Preferred Employment Type : Full-Time About The Role We are seeking a talented and experienced MERN Stack Developer to join our on-site team in Ahmedabad. As a key member of our development team, you will be responsible for building and maintaining high-performance web applications using MongoDB, Express.js, React.js, and Node.js. Key Responsibilities Develop and maintain scalable, responsive web applications using the MERN stack Write clean, efficient, and well-documented code Integrate APIs and third-party services Work closely with UI/UX designers, QA, and product teams Optimize applications for maximum speed and scalability Perform code reviews and provide constructive feedback Debug and resolve technical issues and bugs Ensure cross-platform and cross-browser compatibility Required Skills & Qualifications 5+ years of professional experience with the MERN stack Strong proficiency in JavaScript, ES6+, HTML5, and CSS3 In-depth experience with React.js (including hooks, Redux, component lifecycle) Strong backend development skills using Node.js and Express.js Proficient in working with MongoDB, including aggregation, indexing, and schema design Experience with RESTful APIs and JSON Familiarity with Git and version control workflows Strong problem-solving and debugging skills Excellent communication and teamwork abilities Must-Have Experience 5+ years working professionally with the MERN stack Has experience in a team lead role Expertise in JavaScript (ES6+), HTML5, CSS3 Deep understanding of React.js (Hooks, Redux, lifecycle) Backend development with Node.js & Express.js Strong hands-on with MongoDB (schemas, indexing, aggregation) API integration, Git, version control, and debugging Preferred Qualifications Experience with deployment on AWS, Heroku, or similar cloud platforms Familiarity with containerization tools like Docker Experience with testing frameworks such as Jest or Mocha Knowledge of agile methodologies (ref:hirist.tech)

🌟 We’re Hiring: MERN Stack Developer | 5+ Years Experience 🌟 👨‍💻 Position: MERN Stack Developer 📍 Location: Ahmedabad (On-Site) ✈️ Onshore Opportunity 🗓️ Experience: 5+ Years ⚡ Joining: Immediate Joiners Preferred 📌 Employment Type: Full-Time We’re looking for a skilled MERN Stack Developer ready to work on exciting and high-impact web applications. If you're passionate about JavaScript and full-stack innovation, we’d love to meet you! 🛠️ What You’ll Do 🔸 Build and maintain scalable web applications using MongoDB, Express.js, React.js, and Node.js 🔸 Write clean, efficient, and well-documented code 🔸 Integrate third-party services and REST APIs 🔸 Collaborate with UI/UX, QA, and product teams 🔸 Review code, fix bugs, and ensure robust performance 🔸 Ensure cross-browser and cross-platform compatibility 🔸 Lead and mentor team members, ensuring high code quality and collaboration 📚 Must-Have Experience 🌐 5+ years working professionally with the MERN stack 🌐 Has experience in a team lead role 🌐 Expertise in JavaScript (ES6+), HTML5, CSS3 🌐 Deep understanding of React.js (Hooks, Redux, lifecycle) 🌐 Backend development with Node.js & Express.js 🌐 Strong hands-on with MongoDB (schemas, indexing, aggregation) 🌐 API integration, Git, version control, and debugging Bonus Skills 🧩 Experience deploying on AWS / Heroku 🧩 Familiar with Docker and container workflows 🧩 Testing: Jest, Mocha 🧩 Experience with Agile/Scrum environments 📩 Interested? Drop me a DM or apply today!

We a re hiring a Lead MERN Stack Developer with 57 yrs experience! Handle full project delivery, client communication & short-term travel to Nairobi. Bonus + travel perks. Ready to lead & explore global projects? Apply now! Provident fund

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

We are hiring a Sr. Azure Data Engineer with 5 to 6 Years of experience! Handle full project delivery, client communication & short-term travel to Nairobi. Bonus + travel perks. Ready to lead & explore global projects? Apply now! Provident fund

We are hiring a Lead Data Science with 5 to 6 Years of experience! Looking for passionate, goal-oriented individuals who are ready to grow in an innovative tech environment. Provident fund