Senior Machine Learning Engineer

15 hours ago

Bengaluru, Karnataka, India Thoucentric Technology Pvt. Ltd. Full time

About Thoucentric Technology Pvt. Ltd.

We are a leading digital engineering services company with a presence across multiple locations in India, the US, UK, Singapore & Australia.

As a trusted partner to clients globally, we help them with Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning and Execution including Analytics & Emerging Tech areas cutting across functional areas such as Supply Chain, Finance & HR, Sales & Distribution.

Our unique consulting framework enables us to focus on execution rather than pure advisory.

We work closely with marquee names in the global consumer & packaged goods (CPG) industry, new age tech and start-up ecosystem.

Xoriant (Parent entity) started in 1990 and is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia.

Xoriant is backed by ChrysCapital, a leading private equity firm.

Our strengths are now combined with Xoriants capabilities in AI & Data, cloud, security and operations services proven for 30 years.

We have been certified as "Great Place to Work" by AIM and have been ranked as "50 Best Firms for Data Scientists to Work For".

We have an experienced consulting team of over 450+ world-class business and technology consultants based across six global locations, supporting clients through their expert insights, entrepreneurial approach and focus on delivery excellence.

We have also built point solutions and products through Thoucentric labs using AI/ML in the supply chain space.

Job Title: Senior Machine Learning Engineer - Vision and NLP Solutions

This role is ideal for a seasoned machine learning engineer ready to develop and deploy cutting-edge computer vision and NLP solutions that address complex real-world challenges.

Key Responsibilities:
  • Advanced Model Development: Design, implement, and optimize computer vision and NLP models applying advanced algorithms to solve complex client problems.
  • Evaluate model suitability based on requirements and constraints ensuring the selection of the most effective approach.
  • Data Preprocessing and Feature Engineering: Perform thorough data preprocessing, feature engineering, and transformation tasks for image, text, and multi-modal data to maximize model performance and accuracy.
  • Custom Model Tuning and Fine-Tuning LLMs: Leverage and fine-tune state-of-the-art NLP models, adapting them to specific domain requirements.
  • Apply transfer learning, domain adaptation, and few-shot techniques for customized model outputs.
  • Computer Vision Solutions: Implement and optimize computer vision techniques, including image segmentation, object detection, classification, and image generation using state-of-the-art architectures.
  • Solution Strategy and Client Collaboration: Collaborate with clients to understand their unique needs, recommend solution strategies, and develop tailored machine learning applications for NLP and computer vision tasks.
  • Production-Ready Code and Pipeline Deployment: Write clean, efficient, production-grade Python code for deploying machine learning models as scalable cloud-based pipelines.
  • Adhere to software engineering best practices, including version control, modular design, and testing.
  • Cloud Platform and Model Deployment: Design and manage machine learning pipelines on cloud platforms, leveraging their services for model deployment, versioning, monitoring, and scaling.
  • Result Analysis and Communication: Analyze and interpret model results, deriving actionable insights and translating complex findings for diverse audiences.
Requirements:Required Skills and Qualifications:
  • Computer Vision Expertise: Proven experience with computer vision techniques such as CNNs, object detection, image segmentation, and vision transformers. Proficiency in applying state-of-the-art models for image-based tasks.
  • NLP and Large Language Models: Advanced knowledge of NLP techniques and experience with transformer-based models like BERT, GPT, and T5.
  • Skilled in fine-tuning and optimizing large language models for specific tasks and domains.
  • Python and Software Engineering: Proficiency in Python programming with a strong understanding of object-oriented programming principles and best practices for writing scalable, maintainable code.
  • Cloud Platforms and Model Deployment: Hands-on experience with deploying machine learning solutions on cloud platforms, particularly for NLP and computer vision applications.
  • Familiarity with MLOps tools for automated deployment and monitoring.
  • Debugging, Optimization, and Best Practices: Excellent debugging skills with experience in code optimization, memory management, and troubleshooting in production environments.
  • Client Engagement and Solution Design: Demonstrated ability to communicate effectively with clients, understand their needs, and provide clear technical solutions aligned with business goals.
Preferred Qualifications:
  • Multi-Modal Modeling: Experience with multi-modal models combining vision and NLP tasks will be an added advantage.
  • Experience with Distributed Computing and Big Data: Familiarity with distributed computing frameworks and big data tools for handling large datasets in training pipelines.
  • Innovation and Problem-Solving: Proactive, solution-focused mindset with a passion for staying at the forefront of ML advancements in computer vision and NLP.

This role offers a competitive salary of $150,000 per year, reflecting the company's commitment to compensating its engineers fairly for their expertise and qualifications.

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