Senior ML/AI Developer Jobs

New

Senior ML/AI Engineer

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

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Comfortable with standard ML algorithms and underlying math
Practical experience with solving classification and regression tasks in general, feature engineering
Practical experience with ML models in production: orchestrating workflows, monitoring metrics
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
Python expertise, Docker
Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, GCP, ECS, EMR/Glue, S3, Lambda, SQS)
English level - Upper Intermediate
Excellent communication and problem-solving skills

Job Responsibility

Create ML models from scratch or improve existing models
Create ML/AI pipelines that include custom models or APIs as part of the processing
Collaborate with the engineering team, data scientists, and product managers on production models
Develop experimentation roadmap
Set up a reproducible experimentation environment and maintain experimentation pipelines
Monitor and maintain ML models in production to ensure optimal performance
Write clear and comprehensive documentation for ML models, processes, and pipelines

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer on the ML & AI engineering team at Checkr ...

Location

United States , San Francisco

Salary:

207000.00 - 244000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

BSc, MSc, or PhD in Computer Science, Mathematics, or a related technical field
7+ years of industry experience, especially in roles focused on machine learning
Experience building production-ready ML/NLP systems
Proficiency in Python
Hands-on experience building and designing experiments to evaluate different ML/AI algorithms (including deep learning)
Knowledge of PySpark and MLOps frameworks like SageMaker and MLFlow is a plus
Knowledge of generative AI, fine-tuning, and AI design patterns is a plus
Proficiency with Pandas and sci-kit learn

Job Responsibility

Develop cutting-edge ML/AI solutions
Ship ML/AI in product
Model evaluation and optimization
Cross-functional collaboration
Stay ahead of industry trends
Mentorship and leadership

What we offer

Learning and development allowance
Competitive compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend
Catered lunch and snacks

Fulltime

New

Associate Director, OutcomesAI

The Associate Director, OutcomesAI (OAI) will work closely with other team membe...

Location

United States , Boston

Salary:

100000.00 USD / Year

Project Evident

Expiration Date

Until further notice

Requirements

Bachelor’s degree required. Master’s preferred.
Experience working with diverse communities in strategic planning, data and evaluation, and a deep commitment to equitable outcomes.
8+ Years of experience working in the nonprofit or education sectors and in a consulting or technical assistance context.
5+ Years of experience in data science/technology adoption, leading high-performing teams, and delivering project and client engagements in education or workforce settings.
Experience using ML/AI to drive higher business performance or program outcomes.
Excellent oral and written communication skills, with a proven ability to write and copyedit clear and concise narratives and presentations.
Comfort with ambiguity and ability to respond adeptly to rapidly changing priorities, comfortable in an entrepreneurial environment with fast deadlines.
Demonstrated problem solver and active listener who seeks clarification, asks questions, and surfaces solutions.
Demonstrated experience managing clients and client projects.
Experience managing projects, processes, and teams, and proven ability to work under tight timelines, accurately assess problems, and develop solutions.

Job Responsibility

Engagement Management & Delivery (60%): Serve as project lead to deliver 1:1, 1:some, and 1:Many (i.e., cohort-style) engagements, responsible for projects that are on time, on budget, and high quality
Manage additional critical aspects of engagements, including creating and managing project plans
defining work streams
structuring and executing analyses
delegating responsibilities
deploying existing tools, resources, and frameworks
and providing actionable feedback.
Facilitate and support meetings, small cohorts, and larger communities of practice as needed (both in-person and virtual formats).
Incorporate program best practices and process improvements to strengthen the overall OAI program and support internal learning.
Work with the team and consultants to develop digital and non-digital content such as white papers and case studies, and create tools and resources.

What we offer

Comprehensive Benefits – Generous medical, dental, and vision plans, a 403(b) retirement plan with employer match, and life and disability insurance.
Flexible Time Off – Unlimited vacation days, Summer Fridays between Memorial Day and Labor Day, and organizational-wide closure from December 25 to January 1.

Fulltime

New

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville

Salary:

146000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation

Job Responsibility

Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Senior AI Engineer

We are seeking a Senior AI Engineer (L4, Individual Contributor) to design, buil...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
3+ years in AI/ML development
Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain)
Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems
Understanding of modern AI research (LLMs, diffusion models, transformers)
Experience deploying ML models in production with CI/CD
Strong analytical skills, ability to balance speed and rigor in experimentation
A passion for sustainability and the clean-energy mission
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments
Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment
Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements
Drive performance improvements in model accuracy, latency, and cost efficiency
Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform
Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

New

Head of Data

As Head of Data, you will own our end-to-end data function: analytics, data engi...

Location

United States

Salary:

239300.00 - 280000.00 USD / Year

Octave

Expiration Date

Until further notice

Requirements

8+ years of experience in data analytics/data science
4+ years in a leadership role scaling teams and delivering cross-functional impact
Expertise with analytics reporting and data platforms Tableau, SQL, Adverity
Fluency in SQL and Python
experience with modern data stacks (e.g. BigQuery, dbt, Metabase, Mixpanel)
Proven leadership experience overseeing multi-disciplinary data teams (engineering, analytics, science)
Track record of hiring and scaling teams at high-growth startups or scale-ups
Experience shipping ML/AI solutions into production with measurable business impact
Strong technical background: modern data stacks (dbt, Snowflake, Airflow), programming (Python, SQL), ML/AI frameworks
Strategic thinker who can roll up sleeves when needed

Job Responsibility

Define and drive the company-wide data & AI/ML vision, aligned with business and product strategy
Partner with executives across Product, Engineering, Growth, and Finance to ensure data informs key decisions and creates competitive advantage
Evangelize data culture — making data and AI central to how we operate and build
Oversee pipelines, warehouse, and infrastructure for reliability, observability, and scale
Establish a single source of truth for KPIs and reporting
Implement governance for data quality, security, and compliance
Lead analytics team to deliver insights that drive product, growth, and operations
Scale self-serve analytics adoption while maintaining consistency and quality
Build frameworks for experimentation (A/B testing, causal inference)
Launch and scale high-impact AI/ML initiatives, from pilots to production

What we offer

company sponsored life insurance
disability and AD&D plans
Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options
Octave offers generous Paid Time Off as well as paid parental leave benefits
equity in the form of stock options
an annual bonus

Fulltime

New

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
Proven experience delivering reliable and scalable infrastructure in production
Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
Strong communication skills and ability to collaborate across teams

Job Responsibility

Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
Contribute to technical strategy and architecture discussions within the team
Mentor and support other engineers through code reviews, design discussions, and technical guidance

What we offer

medical, dental, vision, and 401(k)

Fulltime

New

Machine Learning Tech Lead, GenAI

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

Location

Salary:

8000.00 USD / Month

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

What we offer

Annual Performance Bonus: 10% of base salary
Sign-In Bonus: USD 8,000 — paid in two installments: 50% upon start (USD 4,000) 50% upon completion of trial period (USD 4,000)

Senior ML/AI Developer

RADcube

Location:
India, Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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Senior ML/AI Developer

RADcube

Location:India, Hyderabad

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 11, 2025

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