Machine Learning Tech Lead, GenAI Job at Provectus

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

Tech Lead

As a Tech Lead at Fospha, you’ll bring hands-on technical leadership to a cross-...

Location

India , Mumbai

Salary:

Not provided

Blenheim Chalcot

Expiration Date

Until further notice

Requirements

Proven experience leading technical direction across full-stack systems, ideally with exposure to production data and machine learning environments
Expert proficiency in core technologies such as Python, React, and SQL
Deep understanding of modern software design patterns, scalable system architecture, and cloud-native infrastructure
Strong track record of operational ownership, including the reliable, observable, and cost-efficient operation of systems at scale
Ability to communicate complex technical trade-offs clearly and effectively to both technical and non-technical stakeholders

Job Responsibility

Lead a cross-functional team through complex technical challenges and product delivery
Be hands-on, writing, reviewing, and guiding code across backend, frontend, and data stacks
Work closely with PMs and DMs to plan, execute, and deliver releases end-to-end
Mentor engineers, setting standards for quality, testing, and performance
Identify and remove technical debt and bottlenecks proactively
Foster a culture of ownership, learning, and collaboration
Find new ways of working utilising our Gen AI hub

What we offer

Competitive salary
Be part of a leading global venture builder, Blenheim Chalcot
Be exposed to the right mix of challenges and learning and development opportunities
Flexible Benefits including Private Medical, Life Assurance, Pension scheme etc
25 days of paid holiday + your birthday off
Quarterly team socials

Fulltime

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

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

Cloud Solution Architect

Leading delivery of Data Integration and Analytics solutions for our customers p...

Location

Mexico

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 10 years of overall experience in IT commercial projects, including at least 4 years in the role of a Solution Architect
Expertise in at least one of following cloud platforms – Azure, AWS, GCP
Deep understanding and hands-on experience with Data Engineering cloud resources
Expertise in Data Integration/Engineering and Analytics concepts, including knowledge of current design and technological trends
Competency with Business Intelligence/Reporting solutions (e.g. Power BI)
Ability to design solutions involving Machine Learning and GenAI capabilities
Software Development foundation, with a focus on applying established design patterns to build robust, scalable, and maintainable web applications
Familiarity with CI/CD process setup and resource provisioning techniques, including Terraform/IaC principles
Experience in customer facing roles (incl. presales activities) and working in international team setup
Good organizational and priority management skills

Job Responsibility

Leading delivery of Data Integration and Analytics solutions for our customers provided within major cloud platforms (Azure/AWS/GCP)
Preparing a complete solution design
Taking responsibility for critical technological decisions
Providing continuous architectural and technical design support to the application development team
Leading application development at all lifecycle stages – POC, MVP, full-scale PROD solutions
Providing mid- and long-term application development/growth strategy
Proactively identifying and proposing solutions to mitigate project risks
Directly facing our customers for ongoing project and presales matters
Cooperating with internal and client teams in international setup
Defining development standards and frameworks

What we offer

Medical Insurance
Grocery Coupons
Saving fund
30 days of Christmas bonus
Remote work bonus
Profit sharing
50% vacation premium
100% remote
Flexibility regarding working hours
Comprehensive online onboarding program with a “Buddy” from day 1

Fulltime

Senior AI Engineer

Design, architect, and implement scalable Generative AI frameworks and tools wit...

Location

Colombia

Salary:

Not provided

Parser Limited

Expiration Date

Until further notice

Requirements

Proven experience implementing solutions using Azure OpenAI Service (GPT 3.5/4) or similar LLMs
Strong understanding of prompt design, embeddings, fine-tuning, and RAG (Retrieval-Augmented Generation) workflows
Experience building document-centric AI applications, including summarization, classification, redaction, or content generation
Familiarity with vector databases and semantic search pipelines for contextual data retrieval
Hands-on experience designing LLM-based architectures that combine generative reasoning with structured data
Experience defining AI frameworks, SDKs, or internal developer tools for reusable AI capabilities
Proven experience with low-code/no-code platforms such as Power Automate, Power Apps, Logic Apps, or other workflow orchestration tools
Ability to integrate LLM capabilities into enterprise environments, balancing scalability, maintainability, and usability
Understanding of prompt orchestration, pipeline automation, and governance controls for GenAI systems
Deep familiarity with Microsoft Azure services: Azure OpenAI Service, Azure Cognitive Search, Azure AI Studio / Azure Machine Learning, Azure Functions, Azure Logic Apps, and Azure DevOps

Job Responsibility

Architect and implement a GenAI framework to enable internal teams to build and deploy document processing and NLP solutions with minimal coding effort
Lead the design and configuration of low-code/no-code AI development environments, integrating Azure OpenAI and Microsoft Cognitive Services
Define and implement AI architecture patterns, reusable components, and governance standards for scalable AI adoption
Collaborate with Tech Leaders and Engineering Leads to shape the AI technology roadmap, identifying opportunities for innovation and efficiency through GenAI
Build proofs of concept (POCs) that demonstrate new GenAI capabilities—such as document summarization, text generation, or automated content workflows
Support integration between GenAI tools and existing .NET-based systems, APIs, and enterprise data sources
Define AI model lifecycle standards including prompt engineering, versioning, data sourcing, and quality validation
Contribute to technical strategy discussions around model selection, cloud infrastructure, and tool evaluation
Coach and support engineers and business stakeholders in adopting and extending GenAI-based solutions

Fulltime

Senior Associate, Product Management - Machine Learning and AI

Senior Associate, Product Management - Machine Learning and AI. Product Manageme...

Location

United States , McLean; Charlotte; Richmond

Salary:

101100.00 - 126900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree or military experience
At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering

Job Responsibility

Lead the development of our next generation of GenAI products
Guide the product development teams, and ensure the alignment of product features with strategic business goals
Oversee the planning, execution, and delivery of artificial intelligence products within Commercial Bank
Collaborate with engineers and data scientists to define product specifications
Work with marketing, ops, risk, lending, sales teams to ensure the products resonate with the market
Conduct market analysis to identify trends and opportunities for AI applications, techniques
Manage the product roadmap, prioritize features, and make strategic decisions to balance business goals with technological & AI capabilities
Work with stakeholders across different lines of business including Commercial Real Estate, Corporate Bank, Capital Markets, Treasury Management, etc. to understand user needs, gaps, and opportunities
Leverage a design thinking approach to understand user personas and journey to drive problem solving
Develop a short to medium-term roadmap for the product based on problems, gaps, and opportunities

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Generative AI Platform Onboarding Lead

The Gen AI Platform Onboarding Lead is a senior level position responsible for e...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of industry experience in systems architecture with a Data processing, AI/ML, & DevOps focus
Proven experience with improving LLM performance via few shot examples, and prompt chaining in addition to prompt tuning
Proven experience with raising and ensuring we meet the bar of expected accuracy with LLMs
Work with MRM team to ensure all metrics for LLM usecase are captured accurately and the standards set by MRM
Proficiency in AI/ML frameworks (e.g., Langchain) & experience with GenAI tech. Experience in building applications that apply large language models and GenAI to search, chat agents, and guided analytics
Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices
Understanding of software development practices, microservices architecture, & API design. Experience with data storage solutions (e.g., NoSQL, SQL, data lakes) and pipeline orchestration
Excellent analytical and problem-solving skills with the ability to analyze and troubleshoot technical issues and provide innovative solutions
Demonstrated leadership and project management skills
Demonstrated experience leading team of developers and ensuring development standards

Job Responsibility

Design and architect end-to-end platform that integrate with GenAI technologies with a focus on scalability, reliability, and performance
This role involves streaming the onboarding and configuration process for integrating applications onto the newly developed Intelligent Document Processing platform
Increase the accuracy of the platform for all onboarding workflows
Good understanding of RAG based implementation and commercial Large Language Models
Implement best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment processes
Allocate work, and act as an advisor/coach developers, analysts, and new team members. Manage Book of Work deliverables and ensure goals are met. Manage risk to the goals with timely mitigation
Manage change in priorities and pivot team quickly to deliver on change in priorities
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Machine Learning Tech Lead, GenAI

Provectus

Location:

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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