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Core Responsibilities:
- The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
- Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
- Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
- Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
- System Integration: Integrate models into existing systems and workflows.
- Model Deployment: Deploy models to production environments and monitor performance.
- Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
- Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
- Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
- Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
- Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
- Knowledge of model monitoring and performance evaluation.
Required experience:
- Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
- AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
- AWS data: Redshift, Glue
- Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)
Skills: Aws, Aws Cloud, Amazon Redshift, Eks
Must-Haves
Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)
Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker
******
Notice period - 0 to 15 days only
Location : Pune & Hyderabad only
Requirements
- Extensive and expert programming experience in at least one general programming language (e. g. Java, C, C++) & tech stack to write maintainable, scalable, unit-tested code.
- Experience with multi-threading and concurrency programming.
- Extensive experience in object-oriented design skills, knowledge of design patterns, and a huge passion and ability to design intuitive modules and class-level interfaces.
- Excellent coding skills - should be able to convert the design into code fluently.
- Knowledge of Test Driven Development. Good understanding of databases (e. g. MySQL) and NoSQL (e. g. HBase, Elasticsearch, Aerospike etc).
- Strong desire to solve complex and interesting real-world problems.
- Experience with full life cycle development in any programming language on a Linux platform. Go-getter attitude that reflects in energy and intent behind assigned tasks.
- Worked in a startup-like environment with high levels of ownership and commitment.
- BTech, MTech or Ph. D. in Computer Science or related technical discipline (or equivalent).
- Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data.
- 3+ years of experience in the art of writing code and solving problems on a large scale.
- An open communicator who shares thoughts and opinions frequently listens intently and takes constructive feedback
Job Description:
Look for candidates who are preferably immediate joiners and have stability in career
Skills - DS Algorithms, Oops Concept,
Job Brief-
· Understand product requirements and come up with solution approaches
· Build and enhance large scale domain centric applications
· Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines
A. Key Activities (Critical activities of the job)
- Obtain all the necessary approvals / NOCs from respective departments of Municipal Corporation, METRO, regulatory authorities etc.
- Ensure all requisite No Objection Certificates (NOCs) are in place for necessary approvals within defined timelines.
- Submit all relevant documents and follow up with the various government / regulatory departments of the stage of approval.
- Establish, maintain and enhance working relationships across levels within the concerned government agencies / department.
- Work closely with the Management, Legal and Sales teams to enable closures of the transaction through a structural, legal, and commercial due diligence process.
- Collaborate with engineers, architects, 3D rendering companies etc. to determine the specifications of the project and implement accordingly.
- Work towards any internal premise modifications and execute the same.
Requirement:
Qualification - BE / B-tech (CS/EEE/ECE/IT) • You hold a bachelor's or master's degree in software engineering/IT • Ideally you have a first professional knowledge of building production quality cloud solutions. • Familiar with AWS, AWS Lambda, AWS Cloud Formation, AWS Cloud Watch and AWS IoT Greengrass. • You have experience with NoSQL Databases and designing REST APIs. The following languages are used: Python, Node.js, JavaScript. • Proficient in Data Structures and Algorithms. • A team player who likes to share with & learn from other colleagues
Responsibilities
- Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
- Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
- Entrepreneurial and out-of-box thinking essential for a technology startup
- Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
Requirements
- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
- Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
- Ability to understand, optimize and debug imaging algorithms
- Understating and experience in openCV library
- Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
- Understanding of engineering principles and a clear understanding of data structures and algorithms
- Experience in writing production level codes using either C++ or Java
- Experience with technologies/libraries such as python pandas, numpy, scipy
- Experience with tensorflow and scikit.
About Company: Ramphal Technologies is an Indian startup company. The company was founded by a visionary team of founders having a vast experience in Technology.
The company has a long term vision to disrupt the Indian Air Traffic scenario through technology Innovation. The Govt. Of India has officially signed a MOA with us to
build the next generation Technology platform to manage the Air Traffic in India.
About Opportunity: We have an exciting career opportunity for you where you will be part of developing a mission critical real time IT system. <<and explain the position>>
This role gives you an opportunity to disrupt how both manned and unmanned flights are going to fly in future. Your software will run in every Indian/Global Airport
and your work will keep the flight journey safe and efficient.
Java 8
Spring Boot
Microservices
Data Structures
Algorithms
Multithreading









