11+ RTU Jobs in India
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Roles and Responsibilities
The Ideal Candidate with his Bachelor's Degree in Marine Engineering, Electrical / Instrumentation Engineering, Automation, or an adjacent field with experience in Maritime Systems is also welcome. Alternatively experienced electrical officers with maritime experience/ Naval experience with exposure to the above areas are welcome
Prior work experience in the Maritime Industry preferably with strong competence in some or all of the below is desirable :
- Marine Automation, Marine Electrical Systems
- Communication Systems, NAVCOM systems
- Experience in working with PLCs, RTU, Gateway, Edge Devices/ Data Loggers
- Systems operation and maintenance
- In-Depth knowledge of maintenance, commissioning of Marine Electrical and NAVCOM Systems Ability to carry out in-depth troubleshooting and guide vessels for effective case resolutions
- Work Experience as an Electrical/ Technical Superintendent will be a Plus
- Prior experience in the review of the vessel's drawings and machinery specification a must
- Carry out vessel inspection visits as required, Supervise retrofit installations during digital automation & Smart Ship Platform implementation.
A challenging role with one of the fastest-growing maritime digital automation startup.
- The candidate will be driving global delivery, conducting ship inspection to identify vessel machinery from which data signals can be fetched.
- The candidate must have past experience in data telemetry from various machinery such as Main Engine, DG Sets, Boiler, Flowmeters, Emission, Emissions, Ballast, etc.
- Candidate must have experience of working with data signals RS485 NMEA, 4..20 mA, 0..10 V, etc.
- The candidate will work in close coordination with technology specialists, data scientists, and chief engineers with experience in vessel and voyage performance management.
- Prior experience with various control systems, especially for: data telemetry, gateway configuration, working with different PLCs such as Siemens, Alan Bradley, etc.
- Candidates with experience in only navigation & communication systems are also welcome.
- Candidates will be working on cutting edge technology & new age maritime business practices to come up with solutions for the global maritime industry.
- Any experience across electrical systems of the vessels and awareness of various machinery parameters are welcome.
- Awareness & knowledge of power generation, automation systems, reefer container monitoring
, experience in PMS is an added advantage.
Candidates will get tremendous learning experience of innovative solutions & emerging business models in the maritime vertical.
- Consulting & Advisory positions are also available in addition to full-time positions.
- Work from home also available.
Python Developer - AI/MLYour Responsibilities
- Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
- Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
- Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
- Utilize Hugging Face Transformers for model fine-tuning and deployment.
- Integrate embedding models for semantic search and retrieval systems.
- Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
- Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
- Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
- Implement real-time communication with FastAPI WebSockets.
- Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
- Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
- Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
- Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
- Version ML experiments using MLflow, Weights & Biases, or Neptune.
- Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
- Implement model monitoring, drift detection, and automated retraining pipelines.
- Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
- Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
- Participate in code reviews, tech talks, and AI learning sessions.
- Follow Agile/Scrum methodologies and Git best practices.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
- 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
- Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
- Deep learning experience with PyTorch or TensorFlow.
- Experience with Hugging Face Transformers and model fine-tuning.
- Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
- Strong experience with FastAPI frameworks.
- Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
- Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
- Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
- Hands-on with Docker, Kubernetes basics, and AWS cloud services.
- Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
- Understanding of security principles for AI systems.
- Excellent communication and analytical thinking.
Nice to Have
- Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
- Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
- Experience with model serving frameworks and distributed training.
- Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
- Knowledge of quantization and model compression techniques.
- Experience with infrastructure as code (Terraform, CloudFormation).
- Familiarity with data versioning tools (DVC) and AutoML.
- Experience with Streamlit or Gradio for ML demos.
- Background in statistics, optimization, or applied mathematics.
- Contributions to AI/ML or LangChain/LangGraph open-source projects.
Job Title: Lead I – Python Full Stack Engineer (Python + React)
Location: Hyderabad
Work Model: Hybrid (3 days in office)
Notice Period: 0–15 Days (Immediate joiners preferred)
Job Summary:
We are looking for a Lead Python Full Stack Engineer with 6–7 years of development experience to join our engineering team in Hyderabad. The ideal candidate will have strong hands-on expertise in React UI and Python backend development, with solid experience in modern testing frameworks, CI/CD, and database management.
Key Responsibilities:
- Design, develop, and maintain full-stack applications using React (frontend) and Python (backend).
- Implement reusable UI components and ensure a seamless user experience with React.
- Build and manage backend services using frameworks such as Django, Flask, or FastAPI.
- Develop and maintain unit and end-to-end tests using frameworks like Jest, Mocha, and Cypress.
- Manage state using libraries such as Redux, Zustand, or MobX.
- Configure and maintain CI/CD pipelines for efficient deployment.
- Integrate with relational and non-relational databases such as PostgreSQL, MySQL, or MongoDB.
- Collaborate with cross-functional teams to deliver scalable, maintainable solutions.
Required Skills & Experience:
- 6–7 years of full-stack development experience.
- Strong hands-on expertise in React UI (top priority).
- Proficiency in Python with frameworks like Django, Flask, or FastAPI.
- Expertise in unit testing (Jest, Mocha) and E2E testing (Cypress).
- Experience with Vite or similar build tools.
- Strong understanding of CI/CD pipelines.
- Experience with RESTful APIs, web services, and routing (React Router).
- Solid understanding of PostgreSQL/MySQL/MongoDB databases.
- Strong problem-solving and debugging skills.
Nice to Have:
- Familiarity with Node.js or Express.js for backend development.
- Exposure to front-end technologies such as HTML, CSS, and JavaScript (ES6+).
Job Title: Audit Specialist
Location: Noida 63
Experience Required: 2-5 years
Employment Type: Full-Time
We are seeking a detail-oriented Audit Specialist to join our compliance team. The ideal candidate will have experience in auditing and ensuring compliance with PCI DSS, ISO 27001, ISO 9001, SOC 2, and other regulatory frameworks. You will conduct internal audits, manage compliance processes, and collaborate with teams to ensure alignment with regulations.
Key Responsibilities:
- Conduct internal audits for PCI DSS, ISO 27001, ISO 9001, and other compliance frameworks.
- Develop and implement audit plans and ensure regular assessments.
- Identify compliance gaps, document findings, and recommend corrective actions.
- Prepare detailed audit reports and track remediation progress.
- Assist with external audits and liaise with regulatory bodies.
- Provide training on compliance best practices.
Required Skills & Qualifications:
- Strong knowledge of compliance standards (PCI DSS, ISO 27001, ISO 9001, SOC 2, etc.).
- Experience in internal and external auditing, risk assessment, and compliance processes.
- Strong analytical, problem-solving, and communication skills.
- Preferred certifications: CISA, CISM, ISO 27001 Lead Auditor, CRISC (not mandatory).
Job description:-
- Strong experience of Angular along with other technologies like HTML5, CSS, jQuery, AJAX with good knowledge of ECMA Scripts.
- Strong knowledge of JS Fundamentals.
- Design & development of Angular applications as per desired specifications, along with experience in frameworks/libraries like jQuery, Bootstrap, Typescript etc.
- Architecture design, development, testing and maintenance of Web Apps, Implementation based on Angular Application MVC Patterns.
- Own end to end product modules/features (from the requirement to going live)- Design & code review, troubleshoot & help team members on issues.
- Gather requirements by interacting directly with the end-users.
- Research on open source framework/technology required for developing the feature/application.
- A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
- Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
- Mentor and coach other team members
- Evaluate the performance of NLP models and ideate on how they can be improved
- Support internal and external NLP-facing APIs
- Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
- Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioral Skills
Strong analytical and problem-solving capabilities.
- Proven ability to multi-task and deliver results within tight time frames
- Must have strong verbal and written communication skills
- Strong listening skills and eagerness to learn
- Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
- NLP
- Deep Learning
- Machine Learning
- Python
- Bert
Preferred Requirements
- Experience in Computer Vision is preferred
Their services are available across the globe, with over 65% of their client base being from US, UK, and Canada. The company's primary focus is on Ayurveda and taking the ancient knowledge to anyone who wishes to bring back balance to their health and apply the tools in their everyday life.
As a UI/ UX Designer, you’ll create both functional and appealing features that address the clients’ needs and help the company grow its customer base. You will work towards turning the company software into easy-to-use products for clients
What you will do:
Understanding our business requirements and any technical limitations
Translating concepts into user flows, wireframes, mock-ups and prototypes that lead to intuitive user experiences.
Facilitating the client’s product vision by researching, conceiving, sketching, prototyping and user-testing experiences for digital products.
Designing and delivering wireframes, user stories, user journeys, and mock-ups optimized for a wide range of devices and interfaces.
Identifying design problems and devising elegant solutions.
Making strategic design and user-experience decisions related to core, and new, functions and features.
Taking a user-centred design approach and rapidly testing and iterating your designs.
Collaborating with other team members and stakeholders.
What you need to have:
3+ years of experience as a UX designer, UI designer, or similar role
have a UI design portfolio
Ability to work with clients to understand detailed requirements and design complete user experiences
Be passionate about resolving user pain points through great design.
Be passionate about all things UX and other areas of design and innovation. Research and showcase knowledge in the industry’s latest trends and technologies.
Ability to work efficiently and demonstrate a bias for action in a fast-paced, sometimes ambiguous environment
Experience with design and prototyping tools such as Photoshop, Illustrator, Sketch
Experience with HTML5 & CSS3
Some knowledge of Usability Factors in Human Computer Interaction
Bachelor's degree in UX Design or related design discipline
About the job
We focus on client adoption of disruptive technologies, technology architecture and providing specialized skills related to integration, custom software engineering, testing, application modernization, agile and more. We help our clients with the most complex projects including working in open web platforms, DevOps platforms as well as intelligent Computing and Architecture enhancement.
We are looking for hands on, smart thinking Applications developer to join our fast-growing team of talented professionals. You will have the opportunity to work on large enterprise solutions and deliver solutions that deliver business performance for our customers.
WORK YOU’LL DO
- Design and develop microservices/APIs using either Java/Spring boot, ISTIO, Kubernetes, Docker, CI / CD Pipelines
- You would scale micro services using Kafka or similar messaging systems.
- Collaborate with clients, architects, and application architectures to understand the operational objectives and purpose of the future system integration.
- Understand the points of integration between the different systems and highlight the potential risks associated with the delivery of solutions
- Collaborate with Functional Designers and Developers in order to find best solutions
- Produce detailed functional and technical specifications.
- Assist in producing solutions with threat assessments and associated security awareness.
WHAT WE ARE LOOKING FOR
- 5- 8 years of hands-on experience designing and developing microservices using either Java/Spring Boot
- 3-5 years of experience with system integration
- Minimum of 3 years of relevant experience with API concepts and technologies such as REST, JSON, XML, SOAP, YAML, GraphQL, and Swagger
- Experience developing within agile methodology using CI/CD pipeline
- Experienced in 3-tier, n-tier, cloud computing, microservices architectures and SOA.
- Good knowledge of integration architectures
- Experience supporting and/or implementing complex integration projects
- Excellent client management skills
- Experience with Data modelling would be an asset
QUALIFICATIONS
- Experience of working in an Agile Environment
- Ability to drive design from Stories and Requirements
- Adept at UML, Design Patterns, Reusable Services Development,
- Knowledge on Scaling Microservices
• Responsible for developing and maintaining applications with PySpark
Must-Have Skills:
Preferred Technical Experience: React JS
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production





