Python
Machine Learning (ML)Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
Subodh Popalwar
Software Engineer, Memorres
About Noodle.ai
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You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc
Qualifications
- BS or MS in Computer Science or relevant field.
- 4+ years experience in backend software development
- Be able to design high-throughput scalable backend systems
- Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
- Proficiency in Python.
- Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
- Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)
JavaPythonMachine Learning (ML)
XMLAbout the Role-
Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.
Reason to Join-
An opportunity for innovators, problem solvers & learners. Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.
Requiremets and Responsibilities- (please read carefully before applying)
- The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
- Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
- Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
- Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
- Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
- Design, implement, and deploy highly scalable and reliable systems.
- Troubleshoot Solr indexing process and querying engine.
- Bachelors or Masters in Computer Science from Tier 1 Institutions
PythonDjangoFlaskKey skills : Python, Numpy, Panda, SQL, ETL
Roles and Responsibilities:
- The work will involve the development of workflows triggered by events from other systems
- Design, develop, test, and deliver software solutions in the FX Derivatives group
- Analyse requirements for the solutions they deliver, to ensure that they provide the right solution
- Develop easy to use documentation for the frameworks and tools developed for adaption by other teams
Familiarity with event-driven programming in Python
- Must have unit testing and debugging skills
- Good problem solving and analytical skills
- Python packages such as NumPy, Scikit learn
- Testing and debugging applications.
- Developing back-end components.
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Git- Deployment and production support.
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- Experience of code versioning tools, such as Git, Bitbucket, Github
Java
Spring Boot- 3+ years of SDE work experience from Product based companies
- Experience in Java, Spring Boot, MySQL, Kafka, Hbase, AWS
- Experience in Multi threading, distributed systems, Best practices of coding, scaling
ScalaPythonSpringML is looking to hire a top-notch Data Engineer who is passionate about working with data and using the latest distributed framework to process large datasets. As a Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.
Title-Data Engineers
Location-Hyderabad
Work Timings-10.00 AM-06.00 PM
RESPONSIBILITIES:
Ability to work as a member of a team assigned to design and implement data integration solutions.
Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
Propose design solutions and recommend best practices for large scale data analysis
SKILLS:
B.tech degree in computer science, mathematics or other relevant fields.
Good Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
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PythonDjango
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Follow CutshortSubodh Popalwar
Software Engineer, Memorres