Machine Learning Engineer

Position Title : LLM - Lua Developer

Experience : 3+ Years

Opportunity : Full-time (40 hours/week) with a 5-hour PST overlap.

About the Role :

A NASDAQ-listed company is seeking a skilled Lua Developer to enhance AI-powered tools for the mobile coding ecosystem. The role involves developing next-gen coding assistants for various applications in a fast-paced environment.

Required Skills:

• 3+ Years of experience in Lua development.
• Strong knowledge of Lua and software development best practices.
• Experience with Git and version control systems.
• Problem-solving skills with attention to detail.
• Good communication and teamwork abilities.
• Experience using LLMs/AI for coding.

Nice to Have :

• Experience with game development, embedded systems, ML, or DevOps.
• Knowledge of C, C++.

Skills and competencies:

Required:

·        Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·        Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·        Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·        Flexibility in approach and thought process

·        Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

About the role:

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). 

You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design, and quality products is important.

What you’ll do

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers
• Version Control: Git
• SDLC: Working experience in Agile methodology
• Strong interpersonal skills and time management skills

What you’ll need

• B.Tech or M.Tech equivalent with at least 2 years of experience
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Familiarity with RESTful APIs
• Ability to understand business requirements and translate them into technical requirements

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

• The Pre-Authorization Specialist is a member of the Pre-Authorization Department who is responsible for verifying eligibility, obtaining insurance benefits, and ensuring pre-certification, authorization, and referral requirements are met prior to the delivery of inpatient, outpatient, and ancillary services.
• This individual determines which patient services have third-party payer requirements and is responsible for obtaining the necessary authorizations for care.
• The Pre-Authorization Specialist provides detailed and timely communication to both payers and clinical partners in order to facilitate compliance with payer contractual requirements and is responsible for documenting the appropriate information in the patient's record.
• Other duties as assigned. 

• FCM,Geolocation,Camera,REST API,debugging,testing and deployment skills to both platforms Google play and apple app store.
  
  

Job Description :

• Energy and enthusiasm to work in a dynamic startup-style environment
• Will work on bug-fixing and improving application performance.
• Will Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Will collaborate with cross-functional teams to define, design, and ship new features.
• Should have experience with Mobile App developments on multiple platforms (React Native / iOS / Android)
• Should know about object-oriented programming concepts and design patterns
• Strong Knowledge of React.js
• Experience with third-party libraries and APIs
• Build pixel-perfect, buttery smooth UIs across both mobile platforms
• Very comfortable with SQL, NoSQL Databases like Couchbase
• Solid understanding and experience with JavaScript, Jquery, HTML5, CSS3
• Should have a working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
• Strong knowledge and experience of building for Security, Performance, and Scalability
• Should have a solid understanding of the full mobile development life cycle
• Great communication skills
• Good team player with a can-do attitude.