Lead Applied ML Engineer Job at Baptist Health (Remote)

Lead AI ML Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
At least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

Director of Machine Learning, ML Datasets Engineering

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

400000.00 - 490000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets
Experience leading data strategies and partnerships at a senior level
Expertise in data analysis, with practical experience in examining complex datasets
Knowledge of data cost management and optimization techniques
Understanding of current developments in dataset engineering and machine learning
Experience working with external data providers and managing large data projects
Ability to connect technical concepts with business strategies
Leadership skills to guide a team of data engineers and analysts
Communication skills to explain complex data concepts to various audiences

Job Responsibility

Establish and oversee data partnerships to obtain high-quality datasets for our AI models
Develop data strategies that support Runway's product and research objectives
Analyze our data ecosystem to find gaps and areas for improvement
Work with external partners on new data projects
Keep up with advances in dataset engineering and machine learning, applying new methods to our work
Participate in hands-on data analysis, guiding the team in data exploration and interpretation
Manage data costs and implement ways to optimize data usage and storage

Fulltime

Applied Research Lead, Generative Audio

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of industry experience as a research scientist in multimodal, generative audio
Proven experience leading projects
High emotional intelligence and experience mentoring other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research

Job Responsibility

Lead a group of Runway's Applied ML Research team
Lead and drive the executions for new applied research projects
Work with the rest of the engineering organization to oversee the transition from research into production
Work with the Product team to initiate and work on projects that deliver clear user value

Fulltime

AIML Lead Engineer

We build breakthrough software products that power digital businesses. We are an...

Location

India , Bangalore

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

8+ years of total IT experience
at least 4+ years in AI/ML development
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Experience with NLP libraries such as spaCy, Hugging Face Transformers, etc.
Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques
Hands-on experience with Generative AI, LLMs, and Agentic AI
Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment
Familiarity with computer vision frameworks (OpenCV, etc.)
Excellent problem-solving and communication skills
Ability to lead and mentor junior engineers

Job Responsibility

Lead the design and implementation of AI/ML models and solutions for complex business problems
Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents
Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn
Apply deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) for NLP and vision tasks
Implement computer vision solutions using OpenCV and related tools
Collaborate with cross-functional teams to integrate AI models into production systems
Apply MLOps best practices and manage CI/CD pipelines for model deployment
Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams

Fulltime

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals
Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
Outstanding presentation skills to technical and executive audiences
Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
Candidates must have an active TS/SCI

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with our customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops
Work on all aspects of complex National Security problems

What we offer

Equity in the form of employee stock options

Fulltime

AI Lead Engineer

Lead Engineer role in HPE Hybrid Cloud focusing on AI innovation and technology ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Experience designing and developing software systems design tools and languages in storage/server/networking area
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, TensorFlow, Python, NLP
Experience in program leadership, governance, and change enablement
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Experience with innovation accelerators
Cloud Architectures
Cross Domain Knowledge
Design Thinking

Job Responsibility

Lead cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit
Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform
Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
Translating technical AI findings into clear, business-oriented language for non-technical stakeholders
Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities
Develop custom plugins, adapters, or APIs to integrate retrieval systems with generative models
Fine-tune and optimize large language models
Monitor and troubleshoot issues within pipelines
Evaluate and benchmark the performance of vector databases

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

ML Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
Strong expertise in AWS Cloud Services
Strong experience in ML/AI, including at least 2 years in a leadership role
Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
Familiarity with MLOps tools and best practices
Excellent problem-solving and decision-making abilities
Strong communication skills and the ability to lead cross-functional teams
Passion for mentoring and developing engineers

Job Responsibility

Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
Drive the roadmap for machine learning projects aligned with business goals
Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
Stay ahead of advancements in LLMs and apply emerging technologies
Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
Ensure best practices in security, monitoring, and compliance within the cloud infrastructure

Lead Applied ML Engineer

Baptist Health

Location:
United States , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 20, 2026

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