AI ML Engineering
AI ML Engineering
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
AI ML Engineer (GenAI) Assistant Manager
Position Summary
Role Overview: As a GenAI Engineer you will actively engage in your engineering craft taking a handson approach to multiple highvisibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users You will leverage your extensive GenAI & engineering craftmanship across multiple programming languages and modern frameworks consistently demonstrating your strong track record in delivering highquality outcomefocused solutions. The ideal candidate will be a dependable team player collaborating with crossfunctional teams to design develop and deploy advanced software solutions.
Key Responsibilities:
OutcomeDriven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes ensuring highquality lean designs and implementations.
Technical Leadership and Advocacy: Serve as the technical advocate for products ensuring code integrity feasibility and alignment with business and customer goals. Lead requirement analysis component design development unit testing integrations and support.
Engineering Craftsmanship: Maintain accountability for the integrity of code design implementation quality data and ongoing maintenance and operations. Stay handson selfdriven and continuously learn new approaches languages and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications and write highquality supportable scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
CustomerCentric Engineering: Develop lean engineering solutions through rapid inexpensive experimentation to solve customer needs. Engage with customers and product teams before during and after delivery to ensure the right solution is delivered at the right time.
Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learningforward approach to navigate complexity and uncertainty delivering lean supportable and maintainable solutions.
CrossFunctional Collaboration and Integration: Work collaboratively with empowered crossfunctional teams including product management experience and delivery. Integrate diverse perspectives to make wellinformed decisions that balance feasibility viability usability and value. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles including AI/ML/GenAI Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code checkin to production with all quality checks through SDLC lifecycle. Strive to be a role model leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development focusing on continuous improvement and learning.
Domain Expertise: Quickly acquire domainspecific knowledge relevant to the business or product. Translate business/user needs architectures and UX/UI designs into technical specifications and code. Be a valuable flexible and dedicated team member supportive of teammates and focused on quality and tech debt payoff.
Effective Communication and Influence: Exhibit exceptional communication skills capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through wellstructured arguments and tradeoffs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative CoCreation: Engage and collaborate with product engineering teams at all organizational levels including customers as needed. Build and maintain constructive relationships fostering a culture of cocreation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
Requirements
Key Qualifications:
A bachelor s degree in computer science software engineering or a related discipline. An advanced degree (e.g. MS) is preferred but not required. Experience is the most relevant factor.
Strong software engineering foundation with deep understanding of OOPs datastructure algorithms code instrumentations beautiful coding practices etc.
5 years of experience with AI/ML with last 2 years focused on GenAI as well as technologies like OpenAI Claude Gemini LangChain Agents Vector databases and approaches like Prompt Engineering finetuning etc.
Proven experience in: Python R TensorFlow PyTorch Keras Julia ML libraries NLP etc.
Proven experience with big data technologies Angular React NodeJS Python C# .NET Core Java Golang SQL/NoSQL.
Proven experience with cloudnative engineering using FaaS/PaaS/microservices on cloud hyperscalers like Azure AWS and GCP.
Strong understanding of methodologies & tools like XP Lean SAFe DevSecOps SRE ADO GitHub SonarQube etc.
Excellent interpersonal and organizational skills with the ability to handle diverse situations complex projects and changing priorities behaving with passion empathy and care.
Key Qualifications: A bachelor s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Key Qualifications: A bachelor s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc. Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. As a GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, You will leverage your extensive GenAI & engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.
Education
A bachelor s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc. 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vecto
Employment Type
Full Time
