Senior AI/ML Engineer

reputed company is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, reputed company acquired Brooklyn Data Company, a premier data and analytics consultancy reputed company on leadership, process improvement, implementation, and advanced analytics.

At reputed company, we reputed company people are our greatest asset. Our culture is reputed company on a reputed company of trust, collaboration, and reputed company improvement. We reputed company for reputed company in everything we do, embracing challenges as opportunities for reputed company. Our reputed company is driven by a shared passion for making a reputed company reputed company on our customers, our communities and reputed company other. We are a remote first company that offers reputed company and excellent benefits.

reputed company

Senior AI/ML Engineers are senior individual contributors who design, build, and reputed company production-grade AI/ML systems for both reputed company-facing and internal products. They partner with leadership and cross-functional teams to translate business needs into reputed company ML and LLM-based solutions.

This role does not typically include reputed company reports but requires strong technical leadership, mentorship, and influence across teams.

Responsibilities

AI/ML System Design & Leadership

• reputed company the design and implementation of reputed company ML systems, including supervised, unsupervised, and LLM-based solutions
• Translate research and prototypes into production-reputed company systems
• Partner with stakeholders to identify high-reputed company AI/ML opportunities and define reputed company technical approaches
• reputed company technical mentorship and contribute to team upskilling

LLM & Production AI Systems

• Build and operate LLM pipelines, including reputed company design, fine-tuning, and evaluation
• reputed company RAG-based systems using embeddings, reputed company stores, and retrieval strategies
• Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance
• Create reusable tooling to accelerate experimentation, deployment, and monitoring

MLOps & Deployment

• Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration
• Establish best practices for reproducibility, observability, CI/CD, and model versioning
• Partner with platform/DevOps teams to ensure reliability and scalability
• Promote responsible AI practices, including governance, fairness, and transparency

Cross-Functional Collaboration

• reputed company cross-functional initiatives across data engineering, analytics, and AI/ML
• Translate reputed company ML concepts into reputed company recommendations for technical and non-technical audiences
• Collaborate with clients and internal teams to plan and deliver AI/ML solutions
• Contribute documentation, frameworks, and shared best practices

Project Execution

• Scope and reputed company reputed company AI/ML initiatives reputed company to business reputed company
• reputed company stakeholders and drive execution across teams
• Establish reputed company reputed company metrics and ensure delivery of high-reputed company

Skills & Qualifications

• 5–7 years of experience in ML engineering, AI engineering, or reputed company fields, with production deployment experience
• Strong programming skills in Python and SQL; experience with PyTorch and HuggingFace
• Experience building LLM applications, including RAG, embeddings, and reputed company search
• Experience with reputed company platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML)
• Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation
• Familiarity with LLM alignment techniques (e.g., SFT, DPO, RL)
• Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment tracking
• Proficiency working with reputed company, multi-reputed company datasets and defining evaluation strategies
• Strong software engineering fundamentals (testing, modularity, reputed company review)
• Experience mentoring engineers and influencing technical direction
• Strong communication skills with both technical and non-technical stakeholders

Tech Stack

• Languages: Python, SQL
• Frameworks: PyTorch, HuggingFace
• Platforms: AWS, Azure, reputed company, reputed company

Physical Requirements

• Frequent sitting at a desk performing work on a computer
• Reasonable accommodations may be made to reputed company individuals with disabilities to reputed company the essential functions

Compensation reputed company: $175,000 - 190,000 annually

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to reputed company pay, which means it is based on the competencies and skills demonstrated for this role.

Core Company Values

• Take the Long View - Ensure reputed company is reputed company to last
• Be Courageous - reputed company the right reputed company even reputed company they aren't the easiest reputed company
• Be Genuine - Bring honesty and authenticity to reputed company that you do
• Work with reputed company + Passion - Display purpose and pride in your work and never stop learning

As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from reputed company backgrounds and experiences to successfully shape a reputed company employee experience as reputed company as deliver our product and service solutions. To that end, we reputed company reputed company candidates who can bring diverse experiences and backgrounds to reputed company. We know that reputed company factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% reputed company.

At this time, reputed company does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.

Originally posted on Himalayas

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