Sr. Integration Developer

JOB DESCRIPTION:

Location: Pune, Mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

• As a polyglot developer Ideally, you should have:
• 1.5+ years of development experience using any of technology java, scala, python or any similar exciting technologies.
• Hands-on experience in coding, and implementation of complex, custom-built applications Working knowledge of build tool like maven/sbt and code versioning systems like git/bitbucket/cvs/svn
• Familiarity with few databases, like MySQL, Oracle, PostgreSQL, SQL Server, NoSQL etc Great OO skills, including strong design patterns knowledge
• Good communication and ability to work in a consulting environment is essential

• Think through hard problems in a consultancy environment, and work with amazing people to make the solutions a reality Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience
• Build custom software using the latest technologies and tools Craft your own career path

• Providing solution to real problems in Bigdata world.
• RnD on using the latest tools,techniques and cloud services.
• Automating the manual-timetaking tasks.
• Hands-on coding, usually in a pair programming environment.
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments
• Understanding the business domain deeply

About TBM Technologies Pvt Ltd

Established in 2006, we are a research-driven 'machine-to-next' technology company. In 2018, we were recognized as the 'Telecom Technology Company of the Year - India'. We were named 'Most Innovative Software Development Company - India in 2017' and 'Best Telecom Software Company - India'. Other awards include being named among the '20 Most Promising Software Development Companies' and recognition by GSMA at the Mobile World Congress 2011. Our smart solutions enhance lifestyles and save lives, by enabling more effective communications.

With our proprietary software and technologies, we deliver solutions to telecom operators, including Airtel, Dialog Axiata, Verizon Wireless, Vodafone, and Idea. A dedicated research team focuses on next-generation solutions with sensors, smart devices, location 5.0 technology, multi-lingual multi-modal communication, omnichannel delivery platforms, cloud technologies, virtualization, rack servers, mobile phones, analytics, machine learning, and IoT.