Senior ML/AI Engineer Job at Provectus (Medellín)

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

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

Senior ML/AI Developer

We are seeking a highly skilled ML/AI Developer to join our growing team in Indi...

Location

India , Hyderabad

Salary:

Not provided

RADcube

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in ML Engineering (preferred) or Data Science
5–6 years of experience in ML/AI engineering or data science roles
Strong Python programming skills
Solid knowledge of algorithms like KNN, SVM, Naive Bayes
Proven work with NLP, CNNs, LLMs, and deep learning architectures
Experience working with cloud platforms – AWS or Azure
Prior experience integrating chatbots or conversational AI in production

Job Responsibility

Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs
Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms
Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs
Preprocess and engineer datasets using Python for training and evaluation
Deploy AI models and services using AWS or Azure
Collaborate cross-functionally with engineering, product, and DevOps teams
Explore and apply RLHF, prompt engineering, and newer AI optimization strategies
Follow Agile development methodology and participate in sprints

Fulltime

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

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

Senior Machine Learning Engineer

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the des...

Location

Czechia , Brno; Prague

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
Ideally at least 5 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers)
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure)
Effective communication skill in English, both verbally and in written form

Job Responsibility

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation
Process historical data, search queries, product catalog, and images to extract hidden relations and features
Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach available
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

Fulltime

Senior Machine Learning Engineer

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the des...

Location

Slovakia , Bratislava

Salary:

4500.00 EUR / Month

Bloomreach

Expiration Date

Until further notice

Requirements

BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
Ideally at least 5 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment
Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials
Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking
Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in Redshift/BigQuery
Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies
Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers)
Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure)
Effective communication skill in English, both verbally and in written form

Job Responsibility

Design, develop, and enhance ML/AI models which mainly power Search and Recommendation
Process historical data, search queries, product catalog, and images to extract hidden relations and features
Conduct research to explore ongoing cutting-edge ML techniques (especially deep learning) and conduct a quick POC
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data
Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences

What we offer

Restricted stock units
Company performance bonus
Great deal of freedom and trust
Flexible working hours
Virtual-first work with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Personal development workshops
Communication coach available

Fulltime

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 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

Senior ML/AI Engineer

Provectus

Location:
Colombia , Medellín ▼
Bogotá
Cali
Barranquilla

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior ML/AI Engineer

Senior Engineering Manager - AI

Senior ML/AI Developer

Senior Software Engineer - ML Infrastructure

Senior AI Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer, Agentic

Senior Machine Learning Engineer

Senior ML/AI Engineer

Provectus

Location:Colombia , Medellín ▼BogotáCaliBarranquilla

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior ML/AI Engineer

Senior Engineering Manager - AI

Senior ML/AI Developer

Senior Software Engineer - ML Infrastructure

Senior AI Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer, Agentic

Senior Machine Learning Engineer

Location:
Colombia , Medellín ▼
Bogotá
Cali
Barranquilla

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 11, 2025