Description
& SummaryAs a Senior Associate in our Applied AI team, you’ll take a hands-on role in designing, building, and deploying AI-powered systems with a focus on generative AI, large language models (LLMs), and scalable machine learning solutions. You’ll contribute to project delivery by owning components of the solution architecture, mentoring junior engineers, and collaborating with cross-functional teams to build responsible, impactful AI products for clients.
Key Responsibilities
Design, develop, and optimize machine learning pipelines, including classical ML and deep learning models, using frameworks like scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.Lead development of retrieval-augmented generation (RAG) systems, integrating vector databases (e.g., FAISS, Weaviate, Qdrant) and frameworks like LangChain, LangGraph or LlamaIndex.Fine-tune and adapt foundation models using techniques such as LoRA, PEFT, or instruction tuning for client-specific use cases.Generate and evaluate synthetic data to support model robustness, augmentation, and privacy-aware training.Build and expose AI models through RESTful APIs or microservices using FastAPI, Flask, or similar frameworks.Ensure end-to-end model lifecycle tracking using tools like MLflow, Weights & Biases, or SageMaker Experiments.Deploy models to cloud infrastructure (e.g., AWS, Azure, GCP) with attention to scalability, cost, and performance.Collaborate with front-end developers and data teams to integrate AI features into products and platforms.Review code, guide best practices in Git workflows, and contribute to team-level documentation and standards.Communicate effectively with business stakeholders, translating complex AI concepts into actionable insights.Required Skills & Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics or related technical field.3+ years of experience developing AI/ML solutions in production environments.Strong programming skills in Python, with a proven track record using libraries like NumPy, Pandas, scikit-learn, PyTorch, and Transformers.Hands-on experience with LLMs (e.g., GPT, LLaMA, Mistral), prompt engineering, and GenAI application development.Experience building RAG pipelines, integrating with vector databases, and working with LangChain, LlamaIndex, or similar frameworks.Experience with utilizingmulti-modal data for training ML models and building AI applications.Familiarity with fine-tuning models and optimizing performance for NLP or computer vision tasks.Understanding of MLOps practices, including containerization (Docker), CI/CD workflows, and model monitoring.Experience deploying models on cloud platforms like AWS SageMaker, Bedrock, GCP Vertex AI, or Azure AI Services.Strong communication skills and experience working in Agile teams or consulting environments.Preferred Skills
Experience with Cloud Services, storage blobs, virtual machines, etc. Experience implementing LLM-based agents, chat applications, or autonomous workflows.Exposure to tools like Kubernetes, Terraform, or Databricks.Background in model evaluation, bias mitigation, explainability, and responsible AI practices.Prior experience mentoring junior engineers or leading small project teams.What We Offer
Access to cutting-edge tools and projects in AI, ML, and GenAI, including hands-on work with open-source LLMs and vector databases.Structured learning paths for advanced ML, MLOps, GenAI, and cloud technologies.Exposure to real-world AI projects with leading clients across industries.Opportunities to contribute to innovative client-facing AI projects using advanced tools like LangChain and vector search.Mentorship, coaching, and leadership pathways in a collaborative and forward-thinking team.Education
Degrees/Field of Study required:Degrees/Field of Study preferred:
Certifications
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Embracing Change, Emotional Regulation, Empathy, Go-to-Market Strategies, Inclusion {+ 14 more}
Desired Languages
Travel Requirements
0%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date