ML Tech Lead, GenAI Job at Provectus

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)

ML Tech Lead (GenAI)

As an ML Tech Lead, you'll provide technical leadership and mentorship for our M...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Technical Leadership (40%): Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentorship & Team Development (35%): Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

ML Tech Lead (GenAI)

As an ML Tech Lead, you'll provide technical leadership and mentorship for our M...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Technical Leadership (40%): Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentorship & Team Development (35%): Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

New

Data Science Manager

We’re looking for a Data Science Manager (d/f/m) to lead our central Data Scienc...

Location

Germany , Berlin

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

MSc or Ph.D. in a quantitative field (statistics, computer science, economics, or related)
5+ years of professional experience in Data Science, with hands-on technical roles and 1-2 years in a leadership or mentorship capacity
Proven track record delivering ML/GenAI solutions into production, preferably in marketplaces or tech industries
Advanced experience with Python and ML frameworks
Practical experience with GenAI technologies: Large Language Models (e.g., Gemini, GPT, PaLM, Llama, and open-source alternatives)
Amazon Bedrock for foundation model deployment
Integration with GCP Vertex AI and BigQuery, AWS Sagemaker and Bedrock
Strong background in traditional Machine Learning, NLP techniques, and MLOps best practices for production deployment in cloud environments
Proficient with SQL and NoSQL databases, with emphasis on BigQuery for scalable analytics
Experience managing and coaching technical teams

Job Responsibility

Team Leadership: Build, mentor, and lead a multidisciplinary data science team, encouraging upskilling and experimentation in GenAI, cloud computing (GCP, AWS), and modern Data Science tools
Strategic Direction: Collaborate with product and engineering leadership to define the data science strategy, with a focus on integrating GenAI technologies (e.g., Gemini, AWS Bedrock, LLMs) and cloud-native solutions into our business
Project Oversight: Oversee pipelines, prioritize GenAI and cloud-based initiatives, and ensure effective resource allocation for AI-driven innovation on GCP and AWS infrastructure
Stakeholder Management: Educate and guide stakeholders on innovative solutions using GCP, AWS, Gemini, and Bedrock
Performance Management: Foster development through coaching in cloud platforms and state-of-the-art Generative AI
Technical Leadership: Lead by example in developing and deploying advanced machine learning and GenAI models (e.g., LLMs, Gemini), using cloud-native tools (GCP Vertex AI, AWS Sagemaker/Bedrock) and scalable databases like BigQuery
GenAI Implementation: Drive hands-on prototyping and productionization of GenAI use cases, leveraging technologies such as Gemini (GCP) and Bedrock (AWS) for tasks including personalized recommendations, content generation, and automation workflows
Project Delivery: Own end-to-end delivery of data science and GenAI projects using tools like BigQuery, Vertex AI, Gemini, and cloud-based ML pipelines
Innovation: Stay on top of developments in GenAI, transformers, and cloud offerings, integrating technologies like BigQuery for big data analysis and Gemini/Bedrock for GenAI applications

What we offer

Recharge with 28 days of paid time off
Stay mobile with a €50 monthly transportation/mobility allowance
Keep growing with a development budget and access to coaching
Family first - enjoy up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave
Learn anytime, anywhere with our online and offline library
Get rewarded with an attractive base salary and participation in our annual incentive plans
Work from anywhere - up to 20 days per year from wherever you feel most productive
Prioritize your well-being with a 24/7 Employee Assistance Programme for you and your immediate family

Fulltime

AI Tech Lead

Addepto is a leading AI consulting and data engineering company that builds scal...

Location

Poland , Warsaw; Cracow; Wroclaw; Bialystok

Salary:

19320.00 - 28560.00 PLN / Month

Addepto sp. z o.o.

Expiration Date

Until further notice

Requirements

6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams
Proficiency in developing ML algorithms from scratch to production deployment
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)
High proficiency in English (C1 level)
Excellent communication skills and consulting experience with direct interaction with clients
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)
Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Job Responsibility

Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives
Lead the design of AI solution architectures that meet complex business goals and drive innovation
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills
Understand clients’ needs and translate business problems into data science problems
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery

What we offer

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off
Participate in team-building events and utilize the integration budget
Celebrate work anniversaries, birthdays, and milestones
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
Get full work equipment for optimal productivity, including a laptop and other necessary devices
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups

Fulltime

Principal Software GenAI Engineer

With this role you’ll be at the heart of an exciting journey, crafting tools and...

Location

Salary:

Not provided

SNI sp. z o.o.

Expiration Date

Until further notice

Requirements

Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments
Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture
Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments
Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks
Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring
Deep experience with CI/CD best practices with hands-on expertise in GitHub Actions, Jenkins, and GitOps workflows
Strong knowledge of advanced DevOps concepts, including progressive delivery strategies (blue/green, canary), resilience engineering, and performance optimisation
Deep understanding of cloud security, governance, and compliance, with the ability to define and implement scalable security frameworks
Proven ability to drive cross-functional technical initiatives, influence without authority, and deliver results through collaboration and alignment
In-dept understanding of the ML lifecycle, with practical experience deploying and managing LLMs and generative AI models in production

Job Responsibility

Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation
Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services
Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments
Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance
Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health
Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance practices
Support architectural decisions for scalable and maintainable systems, collaborating with engineering and product stakeholders to align with business and technical goals
Partner with architects, product leaders, and stakeholders to shape the long-term technical vision and system architecture
Apply and advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles
Cultivate a high-performing engineering culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration

Fulltime

New

Hr executive

Are you looking to build a solid foundation in HR within a fast-paced manufactur...

Location

Malaysia , Johor Bahru

Salary:

3000.00 - 6000.00 MYR / Month

Randstad

Expiration Date

March 08, 2026

Requirements

Ideally 1-2 years of total HR working experience, however recent graduates are welcome to apply
Prior experience in manufacturing, engineering and construction companies are a strong advantage
Skills: High level of accuracy in data entry and a basic understanding of the Malaysian Employment Act
Attitude: A fast and proactive learner who is comfortable working onsite in an industrial setting

Job Responsibility

Recruitment Support: Assist in job postings, screening resumes, and coordinating interviews for production and office staff
Payroll Administration: Assist in the preparation of monthly payroll data
ensuring attendance records and overtime claims are accurate
Training Coordination: Help organize staff training sessions and assist with HRD Corp documentation and filing
Employee Records: Maintain and update employee personal files and the HR database to ensure 100% compliance
ER Support: Assist the HR Manager in preparing disciplinary letters and documenting employee relations matters

ML Tech Lead, GenAI

Provectus

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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