Artificial Intelligence Engineer

Please find below the Job description and share your latest resume if you are interested? Position: AI/ML Engineer with SFT/LLMS Location: Hybrid 2-3days a week in Santa Clara CA Visa Status: Independent Consultant Duration: 12+ Months (Will be a Long Term Contract or CTH) PREFERRED TO WORK ON W2 OR 1099 THERE COULD BE A QUICK GLIDER TEST FOR A QUICK SELECTION Intake Meeting Notes: Suseella is a Sr. AI/ ML Manager under the LLM data team. She leads four interconnected groups: Data Annotation, AI Safety, Data & Data Solutions, and Synthetic Data. She is hiring an AI/ML Engineer to join the AI Safety team. This role is ideal for a candidate with a Master’s or PhD in Computer Science who combines strong technical depth with a principled approach to responsible AI development. The successful candidate will play a key role in making models safer and more reliable by curating and evaluating high-quality datasets, driving alignment efforts, and implementing core techniques such as Supervised Fine-Tuning (SFT). Through SFT, they will help teach models what “good” behavior looks like, reduce harmful or biased outputs early, and establish a strong foundation for downstream safety optimization. Candidates must have at least 2 years of SFT or other Reinforment Learning experince, Target compaies - any FAANG background and also someone who has collaborated with companies such as ML Commons OR AI Illuminate would be great! Beyond supervised methods, the role requires hands-on experience with data procurement strategies and the ability to design and implement advanced alignment approaches, including Reinforcement Learning from Human Feedback (RLHF). Working closely with cross-functional teams, the candidate will contribute to building scalable data pipelines, leveraging synthetic data, and continuously improving evaluation frameworks to ensure models meet rigorous safety, quality, and ethical standards. Top 3 Skills: • The 3 skill set or experience below requires Python programming expertise. • Data Analytics • Data Generation Strategies/SFT experience • Model Fine Tuning Skills Job Description: As a Machine Learning Engineer, you'll work alongside Client’s research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data science paired with a robust data engineering foundation. This role is directed at assessing and improving the safety and inclusivity of our LLM models in a scalable fashion. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together! Responsibilities: • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt. • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more. • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems. • Define and track key metrics for responsible LLM behavior and usage. • Follow the best practices of automation, monitoring, scale, safety. • Contribute to our repositories and develop safety tools to help ML teams be more effective. • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance. • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Qualification: • Bachelor’s or master’s degree in computer science or related field or equivalent experience. • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions. • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas. • Deep understanding of machine learning algorithms, statistical models, and data structures. • Familiarity with software development practices and version control systems (e.g., Git). • Good at problem solving and analytical ability. • Excellent collaboration and communication skills. Ways to stand out from the crowd: • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness. • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application. • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance. • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience. Thanks and Regards Karan Rajput | US IT Recruiter Desk: 609-973-8207 || Phone: 201-351-8981 || KRajput@kpgtech.com