Working Days - 6 Days (Mon - sat) Year of Experience - 3+ Years Skills : NodeJS + MonoDB Should have at least 3+ years of experience in Backend Web Dev. Should be familiar with python and have prior experience in it Should have solid understanding of NodeJS, MongoDB, Redis, Kafka/RabbitMQ/SQS Should have good understanding of event-driven architecture Should be open to learn new framework if required. Ex: FastAPI Should be familiar with Dockerisation Should be familiar with AWS/GCP and deployment of services. Job Types: Full-time, Contractual / Temporary Contract length: 6-12 months Pay: Up to ₹80,000.00 per month Schedule: Day shift Fixed shift Work Location: In person
We are looking for experienced and passionate IT Trainers in Java DSA , Java Full Stack Development , and AI/ML to lead a 100-day intensive, full-time training program for freshers at our client campus in Hyderabad. Key Details: Training Start Date: 9th June 2025Location: On-site at client campus, Hyderabad (mandatory presence) Timing: 9:00 AM – 4:00 PM (6 hours/day), Monday to Saturday Audience: ~2500 learners divided into batches Duration: 100 Days (Approx. 4.5 months) Roles & Responsibilities: Deliver engaging, hands-on training sessions in your expertise area (Java DSA / Java Full Stack / AI/ML) Follow structured curriculum and manage large batches with discipline Conduct periodic assessments, coding tasks, and provide feedback Maintain attendance and learner progress records Collaborate with other trainers for curriculum alignment and delivery consistency Required Skills & Qualifications: Minimum 2–4 years of experience in training or software development Strong command over Java DSA, Java Full Stack, or AI/ML (depending on the role) Prior experience training large batches (preferred) Excellent communication and classroom management skills Ability to motivate and mentor fresh graduates Job Types: Full-time, Contractual / Temporary Contract length: 4.5 months Pay: ₹60,000.00 - ₹100,000.00 per month Schedule: Day shift Fixed shift Language: English (Preferred) Work Location: In person Application Deadline: 09/06/2025
We are looking for experienced and passionate IT Trainers in Java DSA , Java Full Stack Development , and AI/ML to lead a 100-day intensive, full-time training program for freshers at our client campus in Hyderabad. Key Details: Training Start Date: 9th June 2025Location: On-site at client campus, Hyderabad (mandatory presence) Timing: 9:00 AM – 4:00 PM (6 hours/day), Monday to Saturday Audience: ~2500 learners divided into batches Duration: 100 Days (Approx. 4.5 months) Roles & Responsibilities: Deliver engaging, hands-on training sessions in your expertise area (Java DSA / Java Full Stack / AI/ML) Follow structured curriculum and manage large batches with discipline Conduct periodic assessments, coding tasks, and provide feedback Maintain attendance and learner progress records Collaborate with other trainers for curriculum alignment and delivery consistency Required Skills & Qualifications: Minimum 2–4 years of experience in training or software development Strong command over Java DSA, Java Full Stack, or AI/ML (depending on the role) Prior experience training large batches (preferred) Excellent communication and classroom management skills Ability to motivate and mentor fresh graduates Job Types: Full-time, Contractual / Temporary Contract length: 4.5 months Pay: ₹60,000.00 - ₹100,000.00 per month Schedule: Day shift Fixed shift Language: English (Preferred) Work Location: In person Application Deadline: 09/06/2025
Machine Learning- Data Scientist - Years of experience: 7 to 13 years Location : Pune Budget: 1.3 -1.6 LPM Contract - 8 Months Availability - Immediate to 15 days Please find the details below for a contractual position. Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), time series forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Langchain, Azure Synapse, Kubernetes, and modern ML frameworks Job Types: Full-time, Contractual / Temporary Contract length: 8-12 months Pay: Up to ₹160,000.00 per month Work Location: In person
Role: Sr Data Scientist – Digital & Analytics Experience: 7+ Years | Industry: Exposure to manufacturing, energy, supply chain or similar Location: On-Site @ Bharuch, Gujarat (6 days/week, Mon-Sat working) Perks: Work with Client Directly & Monthly renumeration for lodging Mandatory Skills: Exp. In full scale implementation from requirement gathering till project delivery (end to end). EDA, ML Techniques (supervised and unsupervised), Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), cloud ML tooling (Azure ML, AWS Sage maker, etc.), plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data, optimization models (LP, MILP, MINLP). We are seeking a highly capable and hands-on Sr Data Scientist to drive data science solution development for chemicals manufacturing environment. This role is ideal for someone with a strong product mindset and a proven ability to work independently, while mentoring a small team. You will play a pivotal role in developing advanced analytics and AI/ML solutions for operations, production, quality, energy optimization, and asset performance, delivering tangible business impact. Responsibilities: 1. Data Science Solution Development • Design and develop predictive and prescriptive models for manufacturing challenges such as process optimization, yield prediction, quality forecasting, downtime prevention, and energy usage minimization. • Perform robust exploratory data analysis (EDA) and apply advanced statistical and machine learning techniques (supervised and unsupervised). • Translate physical and chemical process knowledge into mathematical features or constraints in models. • Deploy models into production environments (on-prem or cloud) with high robustness and monitoring. 2. Team Leadership & Management • Lead a compact data science pod (2-3 members), assigning responsibilities, reviewing work, and mentoring junior data scientists or interns. • Own the entire data science lifecycle: problem framing, model development, and validation, deployment, monitoring, and retraining protocols. 3. Stakeholder Engagement & Collaboration • Work directly with Process Engineers, Plant Operators, DCS system owners, and Business Heads to identify pain points and convert them into use-cases. • Collaborate with Data Engineers and IT to ensure data pipelines and model interfaces are robust, secure, and scalable. • Act as a translator between manufacturing business units and technical teams to ensure alignment and impact. 4. Solution Ownership & Documentation • Independently manage and maintain use-cases through versioned model management, robust documentation, and logging. • Define and monitor model KPIs (e.g., drift, accuracy, business impact) post-deployment and lead remediation efforts. Required Skills: 1. 7+ years of experience in Data Science roles, with a strong portfolio of deployed use-cases in manufacturing, energy, or process industries. 2. Proven track record of end-to-end model delivery (from data prep to business value realization). 3. Master’s or PhD in Data Science, Computer Science Engineering, Applied Mathematics, Chemical Engineering, Mechanical Engineering, or a related quantitative discipline. 4. Expertise in Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), and experience with cloud ML tooling (Azure ML, AWS Sagemaker, etc.). 5. Familiarity with plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data. 6. Experience in developing optimization models (LP, MILP, MINLP) for process or resource allocation problems is a strong plus. Job Types: Full-time, Contractual / Temporary Contract length: 6-12 months Pay: Up to ₹200,000.00 per month Work Location: In person
Role: Sr Data Scientist – Digital & Analytics Experience: 7+ Years | Industry: Exposure to manufacturing, energy, supply chain or similar Location: On-Site @ Bharuch, Gujarat (6 days/week, Mon-Sat working) Perks: Work with Client Directly & Monthly renumeration for lodging Mandatory Skills: Exp. In full scale implementation from requirement gathering till project delivery (end to end). EDA, ML Techniques (supervised and unsupervised), Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), cloud ML tooling (Azure ML, AWS Sage maker, etc.), plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data, optimization models (LP, MILP, MINLP). We are seeking a highly capable and hands-on Sr Data Scientist to drive data science solution development for chemicals manufacturing environment. This role is ideal for someone with a strong product mindset and a proven ability to work independently, while mentoring a small team. You will play a pivotal role in developing advanced analytics and AI/ML solutions for operations, production, quality, energy optimization, and asset performance, delivering tangible business impact. Responsibilities: 1. Data Science Solution Development • Design and develop predictive and prescriptive models for manufacturing challenges such as process optimization, yield prediction, quality forecasting, downtime prevention, and energy usage minimization. • Perform robust exploratory data analysis (EDA) and apply advanced statistical and machine learning techniques (supervised and unsupervised). • Translate physical and chemical process knowledge into mathematical features or constraints in models. • Deploy models into production environments (on-prem or cloud) with high robustness and monitoring. 2. Team Leadership & Management • Lead a compact data science pod (2-3 members), assigning responsibilities, reviewing work, and mentoring junior data scientists or interns. • Own the entire data science lifecycle: problem framing, model development, and validation, deployment, monitoring, and retraining protocols. 3. Stakeholder Engagement & Collaboration • Work directly with Process Engineers, Plant Operators, DCS system owners, and Business Heads to identify pain points and convert them into use-cases. • Collaborate with Data Engineers and IT to ensure data pipelines and model interfaces are robust, secure, and scalable. • Act as a translator between manufacturing business units and technical teams to ensure alignment and impact. 4. Solution Ownership & Documentation • Independently manage and maintain use-cases through versioned model management, robust documentation, and logging. • Define and monitor model KPIs (e.g., drift, accuracy, business impact) post-deployment and lead remediation efforts. Required Skills: 1. 7+ years of experience in Data Science roles, with a strong portfolio of deployed use-cases in manufacturing, energy, or process industries. 2. Proven track record of end-to-end model delivery (from data prep to business value realization). 3. Master’s or PhD in Data Science, Computer Science Engineering, Applied Mathematics, Chemical Engineering, Mechanical Engineering, or a related quantitative discipline. 4. Expertise in Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), and experience with cloud ML tooling (Azure ML, AWS Sagemaker, etc.). 5. Familiarity with plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data. 6. Experience in developing optimization models (LP, MILP, MINLP) for process or resource allocation problems is a strong plus. Job Types: Full-time, Contractual / Temporary Contract length: 6-12 months Pay: Up to ₹200,000.00 per month Work Location: In person
Experience : 4+ Years Location : Remote OR Hybrid from Bangalore 3 days/week Budget Remote-1LPM Hybrid-1.2LPM Mandatory Skills: LLM, Redis Vector Database, Azure OpenAI, Python, Fast API, Docker, Kubernetes, RAG, Agents, Graphs, Fine tuning of LLMs, AI/ML framework, ML flow, Gen-AI In the role of a Data Scientist (ML), you will operate at the intersection of: LLM-based frameworks, tools, and technologies, Cloud-native technologies and solutions, Microservices-based software architecture and design patterns, Domain specific fine tuning/Prompting of use cases, Working knowledge of structured and unstructured retrieval-based architectures. As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Responsibilities 1. Design, develop, and implement innovative Language Model applications using Azure OpenAI and Redis as a vector database. 2. Collaborate with cross-functional teams to integrate LangChain, OpenAI Python SDK, LammaIndex, OLamma, and other technologies into the application architecture. 3. Implement and optimize machine learning models for natural language processing tasks. 4. Ensure the scalability, performance, and reliability of language model applications. 5. Collaborate with data scientists, software engineers, and other stakeholders to enhance and refine language models based on user feedback and evolving requirements. 6. Stay current with industry trends and advancements in language models, AI, and related technologies. 7. Working knowledge of Fast API, Celery and Docker Requirements 1. Bachelor’s or master’s degree in engineering, or related field with 1-3 years of work experience. 2. Proven experience in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. 3. Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, OLamma, etc. 4. Proficiency in implementing and optimizing machine learning models for natural language processing. 5. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. 6. Conceptual understanding of working principle of LLMs and fine tuning of LLMs. 7. Proven application of RAG, Agents, Graphs to orchestrate production grade LLM applications. 8. Strong programming skills in languages such as Python and proficiency in relevant frameworks. 9. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). 10. Excellent problem-solving and communication skills. 11. Industry experience in Marketing is a good to have. Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: Up to ₹120,000.00 per month Work Location: In person
We are looking for a DevOps Support Engineer with 4-6 years of experience who has a strong foundation in Linux operations and container management, and is aspiring to grow further in DevOps. The role is based out of Airoli, Mumbai, and involves hands-on infrastructure support, access management, and coordination tasks. This position is well-suited for someone with a proactive attitude and interest in transitioning deeper into DevOps practices. Responsibilities Execute and manage Linux command-line operations, including restarting containers and basic system troubleshooting. Manage Docker container-related tasks, including deployment and runtime issues. Perform offline infrastructure support, such as resolving access and environment-related issues. Support logistics and coordination tasks, working with internal and external teams. Optional: Take up responsibilities similar to a Scrum Master (SM) for tracking work and ensuring team alignment. Optional: Provide basic people management or coordination support as required. Requirements Mandatory Skills: Linux, DevOps tools, Docker. Expertise in Linux system commands and troubleshooting. Experience in container operations, especially using Docker. Ability to resolve access issues and system-level operational blockers. Strong coordination and communication skills for managing logistics and dependencies. Willingness to work in an on-site support environment. Preferred Attributes Interest in growing within the DevOps domain. Basic understanding of DevOps tools and methodologies. Ability to manage people or lead small initiatives (optional but advantageous). This job was posted by Kudos Accounts Team from Kudos Technolabs.
We are looking for Full-Stack Developers with strong hands-on expertise in Java-based Microservices development and working knowledge of React for front-end development. The ideal candidate should have deeper experience in backend systems using Java and should be able to contribute to front-end development when required. Requirements Hands-on experience with Java Microservices, React. Experience range: 5+ years. Mandatory Skills Backend - Java (Primary Focus): Strong hands-on experience in Java 8+. Experience building and deploying Microservices architecture using Spring Boot. Experience with RESTful APIs, JSON, and API integrations. Good understanding of design patterns, OOP, and clean code practices. Experience with databases (SQL and NoSQL - e. g., PostgreSQL, MongoDB). Exposure to messaging systems like Kafka, RabbitMQ (optional but preferred). Hands-on with build tools (Maven/Gradle) and CI/CD tools (Jenkins/GitLab). Frontend - React (Secondary Focus): Working knowledge of React.js . Familiarity with JavaScript (ES6+), HTML5 CSS3 and REST API consumption. Ability to handle basic UI development and integrate front-end with APIs. Understanding of front-end state management (Redux or Context API preferred) Preferred Skills Familiarity with containerization tools like Docker and orchestration (Kubernetes), Cloud experience (AWS/GCP/Azure) - deployment and service management, Unit testing frameworks (JUnit, Mockito), and front-end testing (Jest, React Testing Library). This job was posted by Kudos Accounts Team from Kudos Technolabs.
Role Overview: As an experienced professional with over 10+ years of experience, you should have a strong expertise in GCP and Python scripting. Your role will involve collaborating with product owners and engineering teams to develop Infrastructure as Code modules and application build and deployment pipelines. Additionally, you will be responsible for setting up monitoring and alerting systems for applications and providing timely solutions to any arising issues. Key Responsibilities: - Work closely with product owners and engineering teams to create Infrastructure as Code modules and application build and deployment pipelines - Assist in establishing monitoring and alerting capabilities for applications, addressing any challenges that may arise - Automate tasks wherever possible - Adapt to various situations while maintaining a positive attitude - Implement cloud-based applications with a hands-on approach - Deliver infrastructure improvements efficiently and cost-effectively - Understand the infrastructure and workflow needs of development teams - Monitor security aspects of infrastructure and address potential vulnerabilities - Collaborate with SREs and developers through pair programming sessions - Independently troubleshoot and persistently seek solutions - Interpret architectural decisions impacting infrastructure shape - Execute necessary infrastructure changes to support applications - Cooperate with cross-functional teams spread across multiple time zones - Implement logging and monitoring frameworks effectively - Lead by example with an outcomes-oriented approach Qualifications Required: - Proficiency in DevOps principles - Strong programming skills, particularly in Python - Familiarity with CI/CD tools like GitLab - Knowledge of cloud technologies such as Google Cloud Platform, AWS, and Azure - Experience with cloud infrastructure automation tools like Terraform and Helm - Understanding of container platforms like Docker and container orchestration platforms like Kubernetes - Proficiency in Bash scripting and YAML - Experience with infrastructure and application monitoring tools like Datadog, Prometheus, and Grafana - Knowledge of networking concepts and cloud-based delivery models including CIDR notations, Subnets, Firewalls, DNS, etc. Nice to have: - Familiarity with code and development practices like Test Driven Development, Behaviour Driven Development, and code reviews in GitHub and GitLab - Knowledge of modern testing techniques and frameworks for programming languages like Node.js, Go, and Python - Understanding of OAuth2 and OIDC semantics (Note: Additional details about the company were not provided in the job description.),
We are looking for Full-Stack Developers with strong hands-on expertise in Java-based Microservices development and working knowledge of React for front-end development. The ideal candidate should have deeper experience in backend systems using Java and should be able to contribute to front-end development when required. Requirements Hands-on experience with Java Microservices, React. Experience range: 5+ years. Mandatory Skills Backend - Java (Primary Focus): Strong hands-on experience in Java 8+. Experience building and deploying Microservices architecture using Spring Boot. Experience with RESTful APIs, JSON, and API integrations. Good understanding of design patterns, OOP, and clean code practices. Experience with databases (SQL and NoSQL - e. g., PostgreSQL, MongoDB). Exposure to messaging systems like Kafka, RabbitMQ (optional but preferred). Hands-on with build tools (Maven/Gradle) and CI/CD tools (Jenkins/GitLab). Frontend - React (Secondary Focus): Working knowledge of React.js . Familiarity with JavaScript (ES6+), HTML5 CSS3 and REST API consumption. Ability to handle basic UI development and integrate front-end with APIs. Understanding of front-end state management (Redux or Context API preferred) Preferred Skills Familiarity with containerization tools like Docker and orchestration (Kubernetes), Cloud experience (AWS/GCP/Azure) - deployment and service management, Unit testing frameworks (JUnit, Mockito), and front-end testing (Jest, React Testing Library). This job was posted by Kudos Accounts Team from Kudos Technolabs.