ai engineering lead

EPAM Systems

<div>We are in search of a seasoned and visionary individual to become an integral part of our passionate team. In the role of Engineering Team Lead, you will be pivotal in coordinating our AI/ML engineering unit, driving the development of cutting-edge solutions that push the boundaries for our clients.
Responsibilities<ul><li>
Strategize, plan, and deliver MLOps initiatives by collaborating with key business stakeholders</li><li>
Design, develop, and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, MLOps workflows, and tools) that can scale in response to changing business and technical requirements</li><li>
Create infrastructure and architecture diagrams</li><li>
Allocate tasks to junior ML engineers and ensure activities are brought to closure</li><li>
Improve coding practices, support code reviews, and establish best practices for model management</li><li>
Provide thought leadership regarding new technologies and tools; suggest improvements as appropriate</li><li>
Support the recruitment process for hiring junior and senior ML engineers</li></ul>
Requirements<ul><li>
5+ years of production experience in AI/ML engineering</li><li>
Leadership experience exceeding 1 year applicable to the role</li><li>
In-depth understanding of CI/CD, Core Data Ops, Docker, Jenkins, and Kubernetes</li><li>
Proficiency in machine learning model development</li><li>
Knowledge of best practices in software engineering, data management, testing, and deployment</li><li>
Expertise in building scalable, reliable, and maintainable ML systems</li><li>
Excellent understanding of data structures, algorithms, object-oriented programming, ML engineering, and tools</li><li>
Strong communication and interpersonal skills to collaborate with senior business stakeholders, customers, and team members</li><li>
Ability to work in a fast-paced, deadline-driven environment, mentor and guide junior team members, and provide technical leadership</li><li>
Excellent command of written and spoken English (B2+ level)</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

ML/AI Engineering Team Lead

Bristlecone

<div><ul><li>Solution Architecture &amp; Design
<ul><li>Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches .
</li><li>Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities.
</li><li>Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.
</li></ul></li><li>Thought Leadership &amp; Innovation
<ul><li>Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps.
</li><li>Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader .
</li><li>Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.
</li></ul></li><li>Engineering &amp; Delivery
<ul><li>Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
</li><li>Lead proof-of-concept (PoC) development and transition of AI solutions into production.
</li><li>Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions .
</li></ul></li><li>Mentorship &amp; Leadership
<ul><li>Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering .
</li><li>Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.</li></ul></li></ul></div> <div></div>

Lead Data Scientist

TX Dynamics (Pvt) LTD

Location: Lahore, Pakistan (On-site)Experience Required: 6+ Years (Leadership/Technical Role)Company: TX DynamicsAbout TX Dynamics:At TX Dynamics, we empower businesses worldwide with cutting-edge technology solutions. We&rsquo;re on a mission to revolutionize digital transformation across industries through innovation, automation, and AI-driven engineering.We are seeking a highly skilled Technical Lead who is passionate about technology, thrives in a fast-paced environment, and has a proven ability to lead teams, manage complex client projects, and deliver excellence in modern tech solutions.Position Overview:The Technical Lead will be responsible for leading development teams, driving end-to-end technical delivery, and ensuring alignment with client requirements and business goals. This role requires a strong balance of technical expertise, management skills, and communication abilities, particularly in client-facing interactions, demos, and pre-sales engagements.You will lead initiatives across AI Engineering, Web &amp; Mobile Development, and emerging AI Automation technologies while mentoring developers and collaborating with cross-functional teams.Key Responsibilities:<ul><li>Lead and manage a multidisciplinary development team (Web, Mobile, and AI).</li><li>Conduct client meetings, demos, and pre-sale technical discussions to understand business needs and propose solutions.</li><li>Oversee architecture design, code reviews, and project delivery to ensure scalability and quality.</li><li>Implement and manage AI engineering, automation, and model training initiatives.</li><li>Guide projects based on MEAN/MERN stack technologies and integrate AI-driven features.</li><li>Collaborate with Product Managers, UI/UX Designers, and QA teams for seamless execution.</li><li>Utilize agile project management methodologies for efficient sprint planning and tracking.</li><li>Ensure all development aligns with best practices in performance, security, and maintainability.</li><li>Stay ahead of emerging technologies, tools, and frameworks in AI, cloud, and full-stack development.</li></ul>Required Technical Expertise:Languages &amp; Frameworks:<ul><li>JavaScript, TypeScript, Python</li><li>Node.js, Express.js, React.js, Next.js, Angular</li><li>MongoDB, MySQL, PostgreSQL</li><li>RESTful APIs, GraphQL</li><li>n8n, make, moday</li><li>AI/ML Frameworks: TensorFlow, PyTorch, LangChain, OpenAI APIs, Hugging Face</li><li>Mobile Development: React Native, Flutter</li></ul>AI &amp; Automation:<ul><li>AI Agent Development, Chatbots, Workflow Automation</li><li>Model Training and Optimization</li><li>Ai agents, workflow automations</li><li>Prompt Engineering, LLM Integrations</li><li>RPA Tools and Custom Automations</li></ul>Tools &amp; Platforms:<ul><li>GitHub, GitLab, Docker, Kubernetes, AWS, Azure</li><li>CI/CD Pipelines (Jenkins, GitHub Actions)</li><li>Version Control &amp; Deployment Tools</li></ul>Project &amp; Team Management Tools:<ul><li>Jira, Trello, ClickUp, Asana, Notion</li><li>Slack, Microsoft Teams, Google Workspace</li></ul>Core Competencies:<ul><li>Strong leadership and team management skills.</li><li>Excellent communication and presentation abilities.</li><li>Proven experience in client handling, technical demos, and solution selling.</li><li>Hands-on expertise in AI-driven development and full-stack architecture.</li><li>Strong analytical, problem-solving, and decision-making skills.</li><li>Ability to mentor, inspire, and build high-performing technical teams.</li></ul>Perks &amp; Benefits:Why Join TX Dynamics?<ul><li>Competitive Pay &ndash; Rewarding packages market competitive &amp; annual Increments.</li><li>Fast-Track Career Growth &ndash; Work on international projects across USA, UK, Europe &amp; the Middle East.</li><li>Global Projects, Global Impact &ndash; Build solutions that transform industries.</li><li>Continuous Learning &ndash; Mentorship, workshops, and exposure to advanced technologies.</li><li>Inclusive Culture &ndash; Be part of a collaborative and visionary team.</li><li>Modern Workspace &amp; Perks &ndash; Annual Function, Team Dinners, Celebrations, and Trips, Recognition Programs Certifications.</li><li>Join a Company on the Rise &ndash; Grow your career as we expand globally</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthWork Location: In person

Senior Technical Lead

Fuse Energy

<div>
 At Fuse, we're building a fully integrated energy company, from developing solar, wind, and hydrogen to power trading &amp; distributed energy installations. We sell directly to energy consumers, cutting out the middleman to reduce costs and pass on savings to customers.
 
 
 But we're not stopping there.
 
 
 We're also building the Energy Network: a decentralized network of smart devices where users get rewarded in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy intensive industries.
 
 
 We've raised $90M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg, co-founder of Solana, and GPs behind Meta, Revolut, Spotify, Uber, and more.
 
 
 
 Role Overview
 
 
 
 As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform&mdash;from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.
 
 
 This role is both strategic and hands-on. You'll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Own the AI engineering roadmap and lead the development of AI-first features
 </li>
 <li>
 Productionize ML models, ensuring scalability, performance, and observability
 </li>
 <li>
 Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)
 </li>
 <li>
 Build systems that integrate AI into key parts of our stack, such as:
 </li>
 <ul>
 <li>
 Forecasting customer demand and renewable generation
 </li>
 <li>
 Dynamic pricing and energy trading algorithms
 </li>
 <li>
 Intelligent alerts and personalized customer features
 </li>
 </ul>
 <li>
 Work closely with product and engineering leadership to identify high-impact AI opportunities
 </li>
 <li>
 Build and lead a high-performing team of AI engineers
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams
 </li>
 <li>
 Deep experience deploying ML models into production environments
 </li>
 <li>
 Proficiency in designing scalable data pipelines and real-time inference systems
 </li>
 <li>
 Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)
 </li>
 <li>
 Strong cross-functional collaboration skills, particularly with data science and product teams
 </li>
 <li>
 Clear communication and an ability to prioritize for both experimentation and reliability
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Familiarity with optimization, time series modeling, or forecasting
 </li>
 <li>
 Experience with large language models (LLMs), RAG, or generative AI in production
 </li>
 <li>
 Background in MLOps or AI infrastructure at scale
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and a stock options sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs!
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </ul>
</div>

Head of Engineering (AI)

black.ai

Company Description Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide and Auckland. But you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Job Description What you'd be doing in this role: As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on: <ul> <li>Defining and delivering the long-term AI platform strategy, aligning technical direction with Canva's broader product and AI research vision. </li> <li>Defining and delivering the next-generation AI platform, transforming how AI is developed, evaluated, and deployed at global scale. </li> <li>Partnering with leaders across Engineering, Product, and Data to ensure AI enablement across Canva's ecosystem. </li> <li>Coaching and developing a diverse team of engineering leads and senior engineers across our global workforce to achieve technical excellence at scale. </li> <li>Ensuring the AI Platform remains reliable, secure, and performant while enabling rapid innovation. </li> <li>Acting as a visible champion for AI and platform excellence across Canva and the wider engineering community. </li> </ul> You're probably a match if <ul> <li>You're a platform believer and technical innovator at heart, driven to lead and expand foundational AI capabilities at scale that redefine what's possible. </li> <li>You've successfully led large-scale engineering or platform teams in AI/ML, data, or infrastructure domains. </li> <li>You have deep technical expertise in modern AI platforms, distributed systems, or cloud-native architectures. </li> <li>You anticipate challenges before they arise and bring clarity and direction to complex, cross-functional problems. </li> <li>You're known for visible, forward-leaning leadership - shaping direction early and rallying people behind shared goals. </li> <li>You balance autonomy with visibility - managing up and across senior leadership confidently and transparently. </li> <li>You build cultures of accountability, empowerment, and support, where teams thrive on trust and ownership. </li> </ul> About the team At Canva, we empower everyone to design, using technology to simplify challenges and enhance the enjoyable parts of the design process. Our Generative AI (GenAI) supergroup exists to make Canva feel less like a tool, but more like a creative partner that wows - an AI collaborator that understands your intent, amplifies your ideas, and helps the world create with joy. You can see our recent launches in The AI Platform Group is a key part of Canva's Generative AI Supergroup and broader AI ecosystem, laying the technical foundation for Canva's next wave of transformative AI experience. From massively scalable model serving infrastructure to next-generation training and evaluation platforms, we enable thousands of engineers and product teams to create innovative, responsible, and reliable AI features used by millions around the world. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: <ul> <li>Equity packages - we want our success to be yours too </li> <li>Inclusive parental leave policy that supports all parents & carers </li> <li>An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more </li> <li>Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally </li> </ul> Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Engineering Director - AI Platform (ANZ Remote)

Accenture

Project Role : Data Platform Engineer 
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
 
Must have skills : Data Science 
Good to have skills : Generative AI 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
SUMMARY: We are seeking a Senior Technical &ndash; Gen AI Lead with deep expertise in Python, AI/ML concepts, and data engineering to spearhead the design and development of Data Agents powered by Agentic AI. As a senior technical leader, you will drive solution architecture, guide teams, and ensure the successful delivery of AI-enabled initiatives that align with business goals. The ideal AI Lead combines technical excellence, leadership ability, prompt engineering skills, and a strong product mindset to ensure solutions are impactful, scalable, and business driven. ROLES AND RESPONSIBILITIES: 1. Solution Architecture &amp; Delivery &bull; Lead the design, architecture, and implementation of AI-enabled solutions powered by Agentic AI. &bull; Ensure scalability, reliability, and alignment of solutions with business objectives. 2. Team Leadership &amp; Guidance &bull; Mentor and guide cross-functional teams in AI/ML, data engineering, and product development. &bull; Foster a collaborative environment that drives innovation and high-quality delivery. 3. AI/ML &amp; Data Engineering Expertise &bull; Spearhead the development of intelligent Data Agents leveraging Python, AI/ML models, and scalable data pipelines. &bull; Apply advanced prompt engineering techniques to optimize the performance of LLMs and agentic workflows. 4. Collaboration &amp; Stakeholder Engagement &bull; Work closely with product managers, data scientists, and engineering teams to define AI-driven use cases. &bull; Translate business goals into technical requirements and actionable AI solutions. 5. Innovation &amp; Emerging Technologies &bull; Stay ahead of trends in Gen AI, Agentic AI, ML, and autonomous systems. &bull; Introduce best practices, frameworks, and tools to enhance solution effectiveness and maintain competitive advantage. 6. Business-Driven Mindset &bull; Align AI solutions with organizational strategy to maximize impact and business value. &bull; Ensure delivered solutions are scalable, secure, and capable of driving measurable business outcomes. TECHNICAL EXPERIENCE: &bull; Min 7 years of professional experience in the required skills - having min 2 years of Gen AI experience &bull; Lead the design and development of Data Agents leveraging Agentic AI principles, Python, and AI/ML frameworks. &bull; Strong expertise in Python and Py Spark for large-scale data engineering. &bull; Solid foundation in AI/ML concepts (e.g., supervised/unsupervised learning, reinforcement learning, LLMs). &bull; Experience architecting and deploying AI-driven solutions in production environments. &bull; Proven leadership skills in managing teams, mentoring talent, and leading technical delivery. &bull; Strong prompt engineering skills to refine LLM interactions and improve system outcomes. &bull; Excellent communication and stakeholder management skills, with the ability to bridge business and technology. &bull; Product mindset with a focus on usability, scalability, and delivering business impact. &bull; Growth mindset and adaptability to thrive in an evolving digital and AI landscape &bull; Define and own the technical architecture for scalable, secure, and efficient agent driven systems. &bull; Apply prompt engineering techniques to optimize LLM performance and enhance agent effectiveness. &bull; Guide and mentor analysts and developers in Python, Py Spark, AI/ML best practices, and agentic system design. &bull; Partner with product managers, data scientists, and business stakeholders to translate requirements into AI-driven solutions. &bull; Drive a product-oriented approach, ensuring AI agents deliver measurable value aligned with business outcomes. &bull; Ensure code quality, performance optimization, and adherence to engineering best practices. &bull; Stay ahead of emerging trends in Agentic AI, LLMs, and autonomous systems to bring innovation into practice. &bull; Lead proofs-of-concept (POCs) and enterprise-scale implementations of AI-based automation. ADDITIONAL ATTRIBUTES: &bull; &bull; Hands-on experience with LLM frameworks (e.g., Lang Chain, Llama Index) and Agentic AI orchestration tools. &bull; &bull; Familiarity with cloud AI/ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI). &bull; Exposure to data governance, security, and compliance practices in enterprise AI systems. &bull; &bull; Experience with visualization and reporting tools to support data-driven decision making. EDUCATION QUALIFICATIONS: &bull; A 15-year full-time education is required
 
15 years full time education

Data Platform Engineer

Business Optima

Job Title: AI Lead EngineerExperience: Minimum 2 yearsLocation: RemoteJob Description:We are seeking a skilled AI Lead Engineer to drive the design, development, and deployment of AI solutions that align with our strategic business objectives. The ideal candidate will lead AI projects, collaborate with cross-functional teams, and apply advanced AI technologies to solve complex problems.Key Responsibilities:<ul><li>Lead the development and implementation of AI models and algorithms.</li><li>Manage AI solutions lifecycle including design, testing, deployment, and monitoring.</li><li>Collaborate with data scientists, software engineers, and product teams.</li><li>Develop scalable AI infrastructure and oversee AI system architecture.</li><li>Evaluate and integrate new AI technologies and frameworks.</li><li>Ensure AI solutions are optimized for performance and scalability.</li><li>Mentor junior team members and foster a collaborative environment.</li><li>Stay updated with emerging AI trends and apply best practices.</li></ul>Qualifications:<ul><li>Minimum 2 years of professional experience in AI engineering or related roles.</li><li>Bachelor&rsquo;s or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.</li></ul>Skills Required:<ul><li>Proficiency in Python, React js, AI Agents, and AI/ML libraries (TensorFlow, PyTorch, Keras).</li><li>Experience with machine learning, deep learning, NLP, and computer vision.</li><li>Knowledge of AI model deployment and MLOps practices.</li><li>Strong understanding of data structures, algorithms, and software engineering principles.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and AI infrastructure.</li><li>Familiarity with version control tools like Git.</li><li>Excellent problem-solving, communication, and team leadership skills.</li></ul>Job Type: Full-timePay: Up to &#8377;40,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Work Location: RemoteApplication Deadline: 10/10/2025

Agentic AI Lead Engineer

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