Senior AI/Machine Learning Engineer
20 hours ago
We are opening a priority requirement for Senior AI/Machine Learning Engineer . Please note that we need quality over quantity —only share profiles that strictly match the requirements below. Bulk submissions without alignment will not be considered.
Position: Senior AI/Machine Learning Engineer (LLM Fine-Tuning & Training)
Experience: 7+ years in ML/AI engineering with recent (last 8–12 months) hands-on expertise in fine-tuning and large-scale training of LLMs/VLMs
Budget :- 1.6 LPM
Skills:
• Strong expertise in PyTorch, Hugging Face Transformers, PEFT (LoRA/QLoRA)
• Hands-on experience with distributed training (DDP, FSDP, DeepSpeed, Accelerate)
• Familiarity with evaluation frameworks (lm-eval-harness, custom metrics)
Engagement: Full-time Contract (2 months)
Locations: India
Availability: Full-time, with 4 hours overlap in PST timezone
Start Date : Within 1 week
Evaluation Process: : Technical Interview(Flocareer) + Delivery Round
Important Note:
We are looking for active ICs who have directly worked on model fine-tuning/training in the last 8–12 months. Managerial profiles will not be considered.
Kindly prioritize this role and share only qualified profiles with immediate availability at the earliest.
Role Overview:
We are looking for a Senior AI/Machine Learning Engineer (7+ years of experience) who is a stellar individual contributor with recent hands-on expertise in fine-tuning and large-scale training of modern models (LLMs/VLMs).
This is a hands-on role where you will :
Lead fine-tuning workflows, large-scale training runs, and evaluation design.
Collaborate closely with researchers to bring cutting-edge approaches from papers into production.
Work directly with customers to align performance metrics, validation, and deployment readiness.
Note: This is not a managerial role. We are seeking candidates who are currently active ICs, heavily involved in model fine-tuning/training in the last 8–12 months.
What You'll Do Day-to-Day
• Fine-tune and train LLMs/VLMs at scale (LoRA/QLoRA, PEFT methods).
• Build reproducible training pipelines with distributed training and mixed precision.
• Design and run robust evaluation frameworks (task-specific + lm-eval-harness).
• Translate research papers into working implementations, collaborating with researchers.
• Work with customers to validate models against business and performance needs.
• Optimize training runs with profiling, performance tuning, and efficiency improvements.
• Maintain experiment tracking, reproducibility, and structured model artifacts.
Requirements
• 7+ years in ML/AI engineering, with a strong recent focus on fine-tuning and training large models.
• Expert in PyTorch, Hugging Face Transformers, and PEFT (LoRA/QLoRA).
• Strong experience with distributed training (DDP, FSDP, DeepSpeed, Accelerate).
• Skilled with evaluation frameworks (lm-eval-harness, custom metrics, task benchmarks).
• Proven ability to reproduce and improve results from recent research papers.
• Strong coding practices in Python, with modular, clean implementations.
• Familiarity with experiment tracking tools (Weights & Biases, MLflow).
• Ability to interact with customers and researchers to translate requirements into engineering solutions
[Bonus] Preferred Qualifications:
• Experience with other ML libraries (e.g., PyTorch, Flax)
• Background in ML research or scientific computing
• Experience with production model monitoring and governance
Job Type: Full-time
Pay: ₹500, ₹1,200,000.00 per year
Work Location: In person
-
Machine Learning Research Intern
4 weeks ago
Ahmedabad, Gujarat, India Machine Learning Studies Full timeMachine Learning Research InternshipPlease fill out the questionnaire at https://forms.gle/RVkksEicv9Dz86rU8 (You will have to copy-paste the link, apologies for inconvenience)Are you passionate about diving deep into the realms of Machine Learning and Mathematics ? We're seeking enthusiastic interns to join our team for an immersive learning experience....
-
Senior Machine Learning Expert
2 weeks ago
Ahmedabad, Gujarat, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000Unlock Your Potential as a Machine Learning Expert.Job Description:We are seeking a seasoned and highly skilled machine learning engineer/data scientist to spearhead the development and deployment of cutting-edge AI applications.You will play a pivotal role in designing, developing, and productionalizing machine learning solutions by evaluating models,...
-
Senior Machine Learning Engineer
2 weeks ago
Ahmedabad, Gujarat, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 2,00,00,000Unlocking AI PotentialAs a skilled machine learning expert, you will play a key role in designing and developing cutting-edge GenAI-powered solutions tailored for the healthcare sector.Our projects focus on information retrieval, Retrieval-Augmented Generation (RAG), process automation, and generating actionable insights.By leveraging our expertise,...
-
Machine Learning Engineer
2 weeks ago
Ahmedabad, Gujarat, India Huptech HR Solutions Full timeExperience: 4–6 Years Location:- Ahmedabad (WFO) About the RoleWe are seeking a highly skilled and innovative AI/ML Engineer with 4–6 years of hands-onexperience in Machine Learning, Generative AI, and Large Language Models (LLMs). Theideal candidate should have deep expertise in modern AI frameworks, vector databases,open-source LLMs, and prompt...
-
Senior Machine Learning Expert
2 weeks ago
Ahmedabad, Gujarat, India beBeeMACHINELEARNING Full time ₹ 1,50,00,000 - ₹ 2,50,00,000Machine Learning LeaderWe are seeking a talented Machine Learning leader to drive innovation and deliver impactful AI/ML solutions.Key Responsibilities:Lead and mentor a cross-functional team of machine learning engineers and data scientists.Architect, develop, and deploy ML/AI models into production-ready systems.Collaborate with product and engineering...
-
AI and Machine Learning Expert
2 weeks ago
Ahmedabad, Gujarat, India beBeeMachinelearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000Senior GenAi DeveloperWe are seeking a seasoned expert in AI and machine learning to join our team.About the Role:This position requires 8-10 years of experience in implementing AI/ML models in enterprise systems.The ideal candidate will have an in-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly...
-
AI/Machine Learning Engineer Specialist
1 week ago
Ahmedabad, Gujarat, India beBeeArtificial Full time ₹ 22,00,000 - ₹ 29,00,000Job OverviewWe are seeking an innovative and skilled professional to lead the development of cutting-edge Artificial Intelligence/Machine Learning solutions. As a key member of our team, you will be responsible for designing, developing, and deploying AI/ML models that drive real-world applications.About YouYou have at least 46 years of experience in Machine...
-
Ahmedabad, Gujarat, India SculptSoft | AI Software Development Company Full time ₹ 12,00,000 - ₹ 36,00,000 per yearKey ResponsibilitiesDesign, develop, and deploy AI/ML models for real-world applications.Implement Generative AI solutions using platforms like OpenAI, Anthropic Claude, and HuggingFace Transformers.Work on LLM fine-tuning using PEFT, LoRA, QLoRA, and similar parameter-efficient methods.Develop intelligent agents using LangChain and LangGraph...
-
AI Machine Learning Engineer
2 weeks ago
Ahmedabad, Gujarat, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000Job OpportunityThis role involves creating, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to streamline business processes and enhance customer experience.Key Responsibilities:Create AI and ML-based large language models (LLMs) and conversational bots to automate tasks and improve efficiency.Develop advanced...
-
Lead Machine Learning Innovator
2 weeks ago
Ahmedabad, Gujarat, India beBeeMACHINELEARNING Full time ₹ 1,50,00,000 - ₹ 2,50,00,000Senior AI/ML EngineerWe are seeking an experienced Senior AI/ML Engineer to join our team and help us build intelligent, scalable, and impactful solutions. In this role, you will contribute to all phases of the ML lifecycle, from ideation to deployment.Main Responsibilities:Designing and developing machine learning models using Python and cloud providers...
