Position Summary
Driving advanced artificial intelligence, machine learning model engineering, and generative AI innovation across flexible work models (Remote, Hybrid, Pune, and Bengaluru), Xoriant Solutions is actively seeking an accomplished AI / ML Engineer for an urgent permanent engagement. In this vital machine learning engineering role, you will architect, train, and deploy cutting-edge Large Language Models (LLMs), Generative AI applications, and high-performance neural networks utilizing Python and PyTorch. Bringing 0 to 6 years of progressive professional experience and spot joining availability, you will empower global enterprise intelligence platforms to achieve uncompromised predictive accuracy, model scalability, and real-time processing speed. This prestigious career opportunity offers competitive remuneration, high technical visibility, and exceptional professional growth within a premier global technology solutions and software engineering enterprise.
Detailed Job Description
As an AI / ML Engineer supporting Xoriant Solutions across Remote, Hybrid, Pune, and Bengaluru environments, you will take full operational, architectural, and tactical ownership of machine learning pipeline development, GenAI model fine-tuning, and Python-based algorithmic implementation. Your day-to-day responsibilities include designing generative AI architectures, training deep learning models using PyTorch, optimizing model inference performance, and integrating intelligent automation into enterprise workflows. You will operate in a collaborative multi-hub or remote agile environment while collaborating closely with cross-functional data science, cloud architecture, and product engineering squads.
Key Responsibilities
- Architect, train, fine-tune, and deploy advanced machine learning models, neural networks, and Generative AI applications.
- Design and implement state-of-the-art Large Language Model (LLM) workflows, retrieval-augmented generation (RAG), and prompt engineering frameworks.
- Develop robust, high-performance data processing pipelines and algorithmic models utilizing Python and PyTorch.
- Optimize model training efficiency, memory footprint, and inference latency across cloud and hybrid infrastructure environments.
- Collaborate seamlessly with cross-functional data science, software engineering, and product management squads in Agile sprint cycles.
- Conduct rigorous model evaluation, hyperparameter tuning, validation testing, and bias mitigation audits.
- Author comprehensive technical documentation, model architecture blueprints, and experiment tracking reports.
- Participate in urgent deployment initiatives, spot joining schedules, and continuous innovation R&D initiatives.
Required Qualifications & Skills
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related technical discipline.
- Progressive professional experience ranging from fresh graduates (0 years) up to 6 years in machine learning and software engineering.
- Strong, demonstrable hands‑on professional expertise in Python programming and deep learning frameworks (PyTorch).
- Comprehensive working knowledge and practical proficiency in Generative AI, LLMs, transformers, and foundational AI architectures.
- Deep practical experience building, training, and evaluating predictive machine learning models and NLP pipelines.
- Solid practical grasp of data structures, algorithmic complexity, and software development lifecycle (SDLC) best practices.
- Proven analytical, problem‑solving, debugging, and cross‑functional communication capabilities.
- Mandatory legal work eligibility and availability for urgent spot joining across Remote, Hybrid, Pune, or Bengaluru hubs.
Nice‑to‑Have Skills
- Professional AI/ML certifications or advanced academic research publications in computer vision, NLP, or reinforcement learning.
- Prior professional working experience in top‑tier AI product corporations, enterprise tech consultancies, or innovation labs.
- Hands‑on familiarity with MLOps platforms (MLflow, Kubeflow, Weights & Biases) and cloud ML services (AWS SageMaker, Azure ML).
- Experience utilizing enterprise project management and ticketing platforms such as Jira and Confluence.
- Exposure to vector databases (Pinecone, Milvus, Chroma) and scalable distributed computing frameworks.
Application Information
- Recruiter: Xoriant Solutions Recruitment Division
- Contact Name: Supriya Sharma
- Email: Supriya.sharma@xoriantsolution.com
- Phone:
- Company Website: https://www.xoriant.com
- Salary/Rate: Market Competitive / Enterprise AI Engineering Package
- Deadline: Open until filled (Urgent AI / ML Engineer Spot Joining Opening)
- Notice Period: Immediate / Spot Joining Available
- Contract Duration: Permanent / Full-Time Engagement (Remote / Hybrid / Pune / Bengaluru)
Recruitment Pro Tip
When applying for this AI / ML Engineer position through Xoriant Solutions, ensure your resume explicitly highlights your GenAI/LLM portfolio, PyTorch deep learning projects, Python scripting proficiency, and availability for urgent spot joining.