ai/ml team lead

Virtusa

<div>The AI Lead Developer is responsible for architecting designing and developing advanced AI ML solutions that power intelligent applications and data driven capabilities This role leads the end to end lifecycle of AI development including research model design training deployment monitoring and optimization while guiding a team of engineers and collaborating closely with product data and business stakeholders The AI Lead Developer ensures scalable ethical and production grade AI implementations
<br>
Key Responsibilities
<br>
AI ML Architecture Development
<br>
Architect design and develop machine learning and deep learning models for various use cases NLP CV LLMs recommendation systems predictive analytics etc
<br>
Implement end to end AI pipelines including data processing feature engineering model training evaluation and deployment
<br>
Build scalable and efficient model inference systems using microservices APIs or distributed frameworks
<br>
Optimize models for performance accuracy fairness and cost efficiency
<br>
Technical Leadership
<br>
Lead a team of AI ML engineers and data scientists oversee technical direction and code quality
<br>
Provide mentorship conduct code reviews and establish best practices for AI development
<br>
Collaborate with architects and tech leadership to define AI strategy standards and roadmaps
<br>
MLOps Deployment
<br>
Implement ML operationalization pipelines including model versioning CI CD for ML automated retraining and monitoring
<br>
Work with DevOps and Cloud teams to deploy models to AWS Azure or GCP using tools like SageMaker Vertex AI or Azure ML
<br>
Ensure robust monitoring of model drift data drift performance metrics and reliability
<br>
Research Innovation
<br>
Evaluate and incorporate emerging AI technologies transformers LLMs Diffusion models vector databases RAG etc
<br>
Conduct experimentation and POCs to determine feasibility of new AI solutions
<br>
Stay updated with cutting edge AI research frameworks and best practices
<br>
Collaboration Stakeholder Engagement
<br>
Work closely with product managers data teams and business stakeholders to define AI requirements and translate them into technical solutions
<br>
Communicate complex AI concepts in clear actionable terms for non technical audiences
<br>
Drive AI adoption and provide thought leadership across the organization
<br>
Required Skills Qualifications
<br>
Bachelor s or Master s degree in Computer Science Data Science AI ML or equivalent field
<br>
6 12 years of software AI engineering experience including
<br>
Strong hands on experience building ML DL models using Python TensorFlow PyTorch Scikit learn Transformers or similar frameworks
<br>
Proven experience in designing and deploying AI solutions at scale
<br>
Strong expertise in
<br>
NLP LLMs Computer Vision or Predictive Modeling based on role focus
<br>
Data engineering concepts ETL data pipelines data quality
<br>
Experience with cloud based ML platforms AWS Azure Google Cloud
<br>
Proficiency with MLOps tools MLflow Kubeflow Airflow Docker CI CD
<br>
Strong understanding of distributed systems microservices and API development
<br>
Excellent communication and leadership skills<div><p><b>
About Virtusa</b></p>
<p>Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

AI ML

Optum

<div><p>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start<b> Caring. Connecting. Growing together.</b></p><p></p><p><br>
About Us: At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers.</p><p></p><p><b><br>
Primary Responsibilities:</b></p><ul><li>
Develop and run pipelines for data ingress and model output egress</li><li>
Develop and run scripts for ML model inference</li><li>
Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions</li><li>
Identify technical problems and develop software updates and fixes</li><li>
Develop scripts or tools to automate repetitive tasks</li><li>
Automate the provisioning and configuration of infrastructure resources</li><li>
Provide guidance on the best use of specific tools or technologies to achieve desired results</li><li>
Create documentation for infrastructure design and deployment procedures</li><li>
Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.</li><li>
Lead and manage AI/ML teams and projects from ideation to delivery and evaluation</li><li>
Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models</li><li>
Proficiency in Python, R, or other programming languages for data analysis and AI/ML development</li><li>
Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively</li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul><p><b>
Required Qualifications:</b></p><ul><li>
Bachelor's degree or higher in computer science engineering with a focus on language processing</li><li>
2+ years of experience in AI/ML roles</li><li>
Hands on experience containerization, and deploy LLM applications in cloud environments using Docker, Podman, Kubernetes, and MLOps pipelines, integrating services such as Azure OpenAI, AWS Sagemaker, or Vertex AI for scalable, secure, and cost-optimized GenAI tool deployment with continuous monitoring and CI/CD automation</li><li>
Experience in developing solutions in the NLP space and relevant projects. Hands-on experience with NLP tasks: text classification, named entity recognition/extraction, semantic search, summarization, and question answering. Hands on experience in frameworks like LangChain, LlamaIndex, Hugging Face Transformers, LangGraph, CrewAI, Autogen etc.</li><li>
Experience with Azure development environments</li><li>
Proficiency in supervised, unsupervised, reinforcement learning, deep learning, and transformer-based architectures</li><li>
Good understanding of LLMs (OpenAI, Hugging Face, etc.), MCP server, Retrieval-Augmented Generation (RAG) architectures and vector databases (FAISS, Pinecone, Weaviate etc)</li><li>
Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing</li><li>
Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)</li><li>
Knowledge of NLP literature, thrust areas, conference venues, and code repositories</li><li>
Familiarity with UI tools like Streamlit, Chainlit, and API Frameworks like Flask, FAST APIs, Rest APIs etc..</li><li>
Proficiency in libraries such as Hugging Face and OpenAI API.</li><li>
Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions</li><li>
Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas</li><li>
Familiarity with OCR based AI application using tools like Tesseract, Amazon Textract, Azure Form Recognizer, etc. for extracting data from scanned or image-based PDFs</li><li>
DevOps Skills:<ul><li>
Experience building and maintaining CI/CD pipelines for ML and GenAI applications</li><li>
Hands-on experience with containerization and orchestration using Docker and/or Podman</li><li>
Familiarity with traditional software monitoring, scaling, and quality management (QMS)</li><li>
Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc.)</li><li>
Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc.)</li><li>
Security and vulnerability management</li></ul></li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Experience deploying and maintaining ML models in production</li><li>
Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc.)</li><li>
MLOps skills</li><li>
Familiarity with model versioning tools (MLFlow, etc.)</li><li>
Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)</li></ul><p></p><p><i><br>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</i></p><p></p><p><br>
#NJP</p></div>

Data Scientist

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.
 <br/>
 <br/>
 But we're not stopping there.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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)

Honeywell

<div></div>L<br><div><ul><li>ead development of AI solutions using supervised, unsupervised, and reinforcement learning techniques.
C</li><li>ollaborate with data scientists, software engineers, and product teams to translate business requirements into intelligent systems.
O</li><li>ptimize model performance, latency, and resource utilization for production-grade deployments.
E</li><li>valuate and integrate third-party AI services, frameworks, and APIs where appropriate.
S</li><li>trong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
E</li><li>xperience with NLP, Computer Vision, Time Series Forecasting, and Recommendation Systems.
D</li><li>eep understanding of data preprocessing, feature engineering, and model evaluation techniques.
H</li><li>ands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML).
E</li><li>xposure to LLMs and generative AI frameworks (Hugging Face Transformers, LangChain, OpenAI APIs).
F</li><li>amiliarity with vector databases (FAISS, Pinecone, Weaviate) and embedding techniques.
E</li><li>xperience with cloud platforms (Azure, AWS, GCP) and container orchestration (Docker, Kubernetes).
K</li><li>nowledge of big data ecosystems (Spark, Hadoop, Databricks) and real-time data streams (Kafka, Flink).
P</li><li>roficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, Redis).
U</li><li>nderstanding of CI/CD pipelines and DevOps practices for AI/ML workflows.
E</li><li>xperience with model interpretability and explainability tools (SHAP, LIME).
K</li><li>nowledge of Responsible AI principles and bias mitigation strategies.
F</li><li>amiliarity with edge AI deployment (ONNX, TensorRT, Coral, NVIDIA Jetson).
E</li><li>xposure to graph-based ML and knowledge graphs.
P</li><li>roven ability to lead cross-functional teams and drive delivery in agile environments.
S</li><li>trong problem-solving mindset with a bias toward experimentation and iteration.
E</li><li>xcellent communication and stakeholder management skills.
A</li><li>bility to evaluate alternative solutions and articulate technical decisions clearly.
P</li><li>assion for staying current with AI trends, research, and emerging technologies.
</li></ul></div>
<br><div></div>H<br><div></div>

Sr Advanced Software Engr

<div><p>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start<b> Caring. Connecting. Growing together.</b></p><p></p><p><br>
Optum AI are looking for a Principal of AI/ML Engineering to work in collaboration with our team of talented engineers and scientists in developing cutting-edge AI/ML solutions for various healthcare domains and applications leading our India team. You will be responsible for setting the vision, strategy, and roadmap for our AI/ML initiatives, as well as overseeing the design, development, and deployment of AI/ML models and systems. You will also collaborate with other senior leaders, stakeholders, and customers to ensure alignment and integration of AI/ML capabilities across the organization.</p><p></p><p><b><br>
Primary Responsibilities:</b></p><ul><li>
Develop and implement AI and machine learning strategies for several healthcare domains</li><li>
Hands on Experience in AI and drive the development of innovative AI and machine learning solutions</li><li>
Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives</li><li>
Manage the development and deployment of AI and machine learning solutions</li><li>
Stay up-to-date with the latest AI and machine learning technologies and trends</li><li>
Develop and maintain solid relationships with stakeholders, customers, and partners internally and externally</li><li>
Represent Optum AI work and teams across Optum global leadership</li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul><p><b>
Required Qualifications:</b></p><ul><li>
A master's degree in computer science, engineering, mathematics, statistics, or a related discipline</li><li>
12+ years of experience in Software Engineering, Data Science, or Analytics with 8+ years of experience in AI/ML engineering or related fields</li><li>
Experience with cloud platforms and services, such as AWS, Azure, GCP, etc.</li><li>
Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.</li><li>
Experience with AI/ML frameworks and tools, such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.</li><li>
Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation</li><li>
Expertise in various AI/ML techniques, such as deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, large language models, etc.</li><li>
Proficiency in Python, R, or other programming languages for data analysis and AI/ML development</li><li>
Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences</li><li>
Solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism</li><li>
Proven passion for learning and staying updated with the latest AI/ML trends and research</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
PhD in computer science, engineering, mathematics, statistics, or a related discipline</li><li>
Experience in working with cross-functional and distributed teams in a global and diverse environment</li><li>
Experience in mentoring, coaching, and developing AI/ML talent</li><li>
Experience in establishing and enforcing AI/ML best practices, standards, and ethics</li><li>
A proven track record of delivering high-impact AI/ML solutions for real-world problems and use cases</li><li>
Background in Healthcare (AI)</li><li>
A portfolio of AI/ML publications, patents, or awards</li></ul><p></p><p><i><br>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</i></p><p></p><p><br>
#exetech</p></div>

Principal AI/ML Engineering

iquasar software solutions

iQuasar Software Solutions is a purpose-driven company with a strong emphasis on &ldquo;People.&rdquo; We operate to empower people in the community we operate in. Listen in to our HR Manager explaining the hiring process that helps us to make a change in society by bringing the best talent and helping them grow professionally.
<br><div><div>Senior Technical Lead &ndash; AI/ML &amp; MLOps
</div><div><div><b>Job Title: Senior Technical Lead &ndash; AI/ML &amp; MLOps</b><br>
<b>Location:</b> Srinagar<br>
<b>Experience:</b> 6&ndash;10 years overall (3&ndash;5 years in AI/ML &amp; MLOps)<br>
<b>Education:</b> Master&rsquo;s or above in AI/ML/Data Science or equivalent<br>
<b><i>About the Role</i></b><br>
We are seeking a <b>Senior Technical Lead &ndash; AI/ML &amp; MLOps</b> to drive the design and implementation of advanced AI systems. The ideal candidate combines deep technical expertise with product vision and a high sense of ownership.<br>
You will lead efforts to assemble efficient AI toolchains, implement <b>agentic AI frameworks</b>, and integrate <b>low-code/no-code</b> solutions to <b>accelerate time-to-market</b> for AI-powered products.<br>
<b><i>Key Responsibilities</i></b></div><ul><li>
Architect and lead AI/ML systems from concept to deployment.</li><li>
Build and optimize <b>MLOps pipelines</b> across <b>AWS, Azure, and GCP</b>.</li><li>
Implement and integrate <b>agentic AI platforms</b> (e.g., Copilot Studio, Microsoft AI Foundry, etc.) and <b>low-code/no-code</b> ecosystems.</li><li>
Assemble scalable AI toolchains to enhance productivity and automation.</li><li>
Collaborate cross-functionally with product, data, and engineering teams to deliver high-impact AI solutions.</li><li>
Engage with customers to understand their requirements and develop custom AI solutions within time and budget while meeting quality objectives</li><li>
Lead by example &mdash; mentor team members, ensure quality delivery, and drive continuous innovation.</li><li>
Take initiative to identify and integrate emerging AI technologies to improve outcomes.</li></ul><div><b><i>
Requirements</i></b></div><ul><li>
Proven experience in software development, with a strong focus on <b>AI/ML</b> and <b>MLOps</b>.</li><li>
Track record of successfully leading <b>AI-driven products or large-scale ML projects</b>.</li><li>
Proficiency in <b>Python</b>, <b>TensorFlow/PyTorch</b>, and modern <b>DevOps/MLOps</b> practices.</li><li>
Experience deploying models and services across <b>AWS, GCP, and Azure</b>.</li><li>
Familiarity with <b>agentic AI</b>, <b>AI orchestration frameworks</b>, and <b>toolchain design</b>.</li><li>
Strong communication skills, leadership qualities, and exceptional initiative.</li><li>
Ability to operate in a fast-paced, product-focused environment with end-to-end accountability.</li></ul></div></div><div></div>
<br><div><div><div><div><div><div><div><div>WORK HARD AND BE YOURSELF
<h2 class="jobSectionHeader"><b>Why Choose Us</b></h2>
</div></div></div></div><p></p><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Leader&rsquo;s Support</b></h3>
</div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Great Team</b></h3>
</div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Knowledge Sharing</b></h3>
</div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Health Insurance</b></h3></div></div></div></div></div></div></div></div></div></div>

Senior Technical Lead – AI/ML & MLOps

NorthBay Solutions

<div><h3 class="jobSectionHeader"><b>Lead GenAI Engineer (Application Development)</b></h3><p><b>
Experience:</b> 7&ndash;12+ years<br>
<b>Location:</b> Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan)<br>
<b>Employment Type:</b> Full-time</p><h4 class="jobSectionHeader"><b>
About the Role</b></h4><p>
NorthBay Solutions is seeking a <b>Lead GenAI Engineer (Application Development)</b> with a strong foundation in <b>AI/ML</b>, <b>GenAI solution design</b>, and <b>end-to-end application development</b>. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.</p><h4 class="jobSectionHeader"><b>
Core Responsibilities</b></h4><ul><li>
Design and implement <b>AI-powered enterprise-grade applications</b>, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of <b>8&ndash;12 engineers</b> across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive <b>technical decision-making</b> across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver <b>production-ready GenAI applications</b>, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader"><b>
Technical Requirements</b></h4><p><b>
GenAI Leadership (3+ Years) &ndash; Primary</b></p><ul><li>
Proven experience in developing and deploying <b>GenAI applications</b> in production.</li><li>
Expertise in <b>LLMs (LLAMA, Mistral, GPT, etc.)</b>, including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with <b>Agentic AI</b>, <b>Multi-Agent Systems</b>, and <b>Agentic RAG</b> implementations.</li><li>
Proficiency in <b>Vector Databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and related toolchains.</li><li>
Strong <b>prompt engineering</b> and <b>Chain-of-Thought optimization</b> capabilities.</li></ul><p><b>
AI/ML Foundation (4&ndash;5 Years)</b></p><ul><li>
Hands-on <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b> experience for building ML models and AI pipelines.</li><li>
Expertise in the <b>AI/ML model lifecycle</b> &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into <b>enterprise-grade web or mobile applications</b>.</li></ul><p><b>
Application Development &amp; Architecture (7+ Years)</b></p><ul><li>
Strong background in <b>full-stack development</b> (MERN or equivalent stack).</li><li>
Proven ability to deliver <b>end-to-end applications</b> integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in <b>API development (REST, GraphQL)</b> and <b>microservices architecture</b>.</li><li>
Experience deploying solutions across <b>on-premises, cloud, and hybrid environments</b>.</li><li><b>
Kubernetes</b> for container orchestration and deployment management.</li><li>
Database experience in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</li><li>
Familiarity with <b>DevOps tools</b>: Docker, CI/CD pipelines, and infrastructure automation.</li></ul><p><b>
Cloud &amp; Infrastructure</b></p><ul><li>
Hands-on experience with <b>AWS/Azure/GCP</b> cloud environments and ML services.</li><li>
Experience with <b>AWS SageMaker</b>, <b>Bedrock</b>, <b>Lambda</b>, <b>API Gateway</b>, or equivalents.</li><li>
Understanding of <b>hybrid architecture design</b> integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader"><b>
Proven Delivery</b></h4><ul><li>
Successful delivery of <b>7+ enterprise or AI/ML-driven applications</b>.</li><li>
Demonstrated <b>leadership experience</b> managing cross-functional technical teams.</li><li>
Ability to deliver <b>high-quality, scalable, and secure solutions</b> under tight timelines.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li><b>
Cloud certifications</b> (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent <b>communication and leadership skills</b>, capable of bridging business and technology.</li><li>
Experience working in <b>Agile/Scrum</b> environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader"><b>
Ideal Candidate</b></h4><p>
A hands-on leader with strong expertise in <b>GenAI application development</b>, solid understanding of <b>AI/ML</b>, and a proven background in <b>enterprise software engineering and deployment</b> across cloud and hybrid infrastructures.</p><p>
</p><p>2OWWNNGtq6</p></div>

Lead GenAI Engineer (Application Development)

Search 10000+ Ai/ml team lead jobs near you this November. New roles added regularly across leading industries. Apply today.