ai technical lead

Adamas Tech Consulting Private Ltd

<p><b>Key Responsibilities:</b></p><ul><li><b>Lead end-to-end technical delivery</b> of Gen AI-based projects, ensuring rapid prototyping within <b>5-7 days</b> for client engagements.</li><li><b>Develop, fine-tune, and deploy Large Language Models (LLMs)</b> for on-premise and cloud (AWS, Azure) environments.</li><li><b>Design and implement scalable Gen AI solutions</b> that meet business and technical requirements.</li><li><b>Collaborate with cross-functional teams</b>, including Data Scientists, AI/ML Engineers, and Cloud Architects, to deliver high-impact AI solutions.</li><li><b>Own the technical roadmap</b> for Gen AI solutions and ensure alignment with business objectives.</li><li><b>Hands-on coding and debugging</b> to accelerate solution development and resolve technical challenges.</li><li><b>Work directly with clients</b> to understand their business problems, translate requirements into AI solutions, and drive PoCs and production implementations.</li><li><b>Ensure compliance, security, and scalability</b> of deployed models <b>in both on-premise and cloud setups.</b></li><li>Stay updated with the latest <b>LLM and Gen AI trends, open-source advancements</b>, and best practices.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li><b>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</b></li><li><b>7-8 years of experience</b> in AI/ML, with a strong focus on <b>LLMs, Gen AI, and rapid prototyping.</b></li><li>Proven experience in <b>deploying LLM models on-premise and in cloud (AWS, Azure).</b></li><li>Strong <b>programming skills</b> in Python, TensorFlow, PyTorch, Hugging Face, LangChain, etc.</li><li>Expertise in <b>AI/ML frameworks, model fine-tuning, and optimization techniques.</b></li><li>Experience in <b>MLOps, Kubernetes, Docker, CI/CD pipelines, and cloud-native AI deployments.</b></li><li><b>Strong client-facing experience</b> with the ability to communicate complex AI concepts to non-technical stakeholders.</li><li><b>Self-starter mindset</b> with the ability to work independently and drive projects to completion.</li><li>Familiarity with <b>Vector Databases, RAG (Retrieval-Augmented Generation), and AI-enhanced search technologies.</b></li><li>Experience in handling <b>AI governance, security, and ethical AI best practices.</b></li></ul><p>Job Types: Full-time, Permanent</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: In person</p>

Lead Generative AI

Client of Michael Page

<p><strong>Technical Strategy &amp; Roadmap:</strong> Lead the technical definition and evolution of the AI, Generative AI, and Agent AI platform strategy, identifying key technical initiatives and architectural patterns required for scalable, robust, and innovative solutions.</p> <ul> <li><strong>Large-Scale Platform Delivery Oversight:</strong> Provide deep technical oversight and guidance for the delivery of complex AI platforms, ensuring adherence to technical standards, performance metrics, and security requirements at an enterprise scale.</li> <li><strong>Vendor &amp; Partner Collaboration:</strong> Act as a primary technical liaison with leading AI technology vendors, evaluating new capabilities, driving strategic partnerships, and integrating third-party solutions into the internal AI ecosystem.</li> <li><strong>Internal Team Enablement:</strong> Collaborate closely with in-house data science, machine learning engineering, and data engineering teams to understand technical challenges, unblock dependencies, and foster a culture of technical excellence and shared accountability for AI platform delivery.</li> <li><strong>Innovation &amp; Research Integration:</strong> Monitor cutting-edge AI research and industry trends (e.g., advanced LLM architectures, multi-modal AI, autonomous agents), identifying opportunities to integrate new capabilities into strategic AI initiatives and platforms.</li> </ul>

Data & AI Lead - Innovation & Execution

Bristlecone

<div><ul><li><b>Solution Architecture &amp; Design
</b><ul><li>Lead the design and development of advanced AI solutions leveraging <b>LLMs, GenAI models, AI agents, and hybrid AI approaches </b>.
</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><b>Thought Leadership &amp; Innovation
</b><ul><li>Act as a <b>subject matter expert (SME) </b>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 <b>recognized AI thought leader </b>.
</li><li>Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.
</li></ul></li><li><b>Engineering &amp; Delivery
</b><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 <b>enterprise-ready AI solutions </b>.
</li></ul></li><li><b>Mentorship &amp; Leadership
</b><ul><li>Mentor and guide engineering teams on <b>best practices in AI solutioning, research translation, and applied engineering </b>.
</li><li>Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.</li></ul></li></ul></div><p></p><br><div></div>

Lead Data Scientist

ProClink

<div><div><b>Title: </b><b>Technical Lead (AI/ML/GenAI)</b></div><div></div><div><b><br>
 Job Description:</b></div><div>
We are seeking a highly skilled and innovative Technical Lead ( AI/ML/GenAI) with strong hands-on experience in Agentic AI, Machine Learning, and Cloud Platforms like AWS and Databricks. The ideal candidate will be proficient in building intelligent systems using agentic frameworks to deliver scalable, production-grade solutions such as chatbots and autonomous agents.</div><div><b>
Key Responsibilities:</b></div><ul><li>
Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.</li><li>
Build and optimize chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar.</li><li>
Implement vector search using technologies such as FAISS, Weaviate, Pinecone, or Milvus for semantic retrieval and RAG (Retrieval-Augmented Generation).</li><li>
Collaborate with data engineers and product teams to integrate ML models into production systems.</li><li>
Monitor and maintain deployed models, ensuring performance, scalability, and reliability.</li><li>
Conduct experiments, A/B testing, and model evaluations to improve system accuracy and efficiency.</li><li>
Stay updated with the latest advancements in AI/ML, especially in agentic systems and generative AI.</li><li>
Ensure robust security, compliance, and governance, including role-based access control, audit logging, and data privacy controls.</li><li>
Collaborate with data scientists, ML engineers, and product teams to deliver scalable, production-grade GenAI solutions.</li><li>
Participate in code reviews, architecture discussions, and continuous improvement of the GenAI platform.</li></ul><div></div><div><b><br>
 Required Skills &amp; Qualifications</b></div><ul><li>
8+ years of experience in <b>Machine Learning, Deep Learning, and AI system design</b>.</li><li>
Strong hands-on experience <b>with Agentic AI frameworks and LLM APIs (e.g., OpenAI)</b></li><li>
Certifications in AI/ML or cloud-based AI platforms (<b>AWS, GCP, Azure</b>).</li><li>
Proficiency in Python and ML libraries like scikit-learn, XGBoost, etc.</li><li>
Experience with AWS services such as SageMaker, Lambda, S3, EC2, and IAM.</li><li>
Expertise in Databricks for collaborative data science and ML workflows.</li><li>
Solid understanding of vector databases and semantic search.</li><li>
Hands-on experience with MLOps including containerization (Docker, Kubernetes), CI/CD, and model monitoring along with tools like MLflow,</li><li>
Experience with RAG pipelines &amp; LangChain.</li><li>
LLM orchestration, or agentic frameworks.</li><li>
Knowledge of data privacy</li><li>
Exposure to real-time inference systems and streaming data.</li><li>
Experience in regulated industries such as healthcare, biopharma</li><li>
Proven ability to scale AI teams and lead complex AI projects in high-growth environments</li><li>
Oil &amp; Gas, refinery operations &amp; financial services exposure is preferred</li><li>
Master&rsquo;s/ bachelor&rsquo;s degree (or equivalent) in computer science, mathematics, or related field</li></ul></div>

Lead - AI/ ML/ GenAI

Deriv

<div>
 <p>
  <strong>
   Kindly note that this role is located in Cyberjaya, Malaysia, and relocation assistance will be provided.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Deriv is an AI-first company, transforming trading through cutting-edge technology. We're seeking an exceptional AI Engineering Manager to lead our technical innovation. This role blends hands-on technical leadership with strategic management, driving cutting-edge initiatives while actively contributing to development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  AI is being embedded into our company DNA, across every department. For further information, please read our guide: &lsquo;AI at Deriv:How we&rsquo;re transforming fintech with AI&rsquo;.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your challenges:
  </strong>
 </p>
 <p>
  Technical Leadership &amp; Hands-on Development:
 </p>
 <ul>
  <li>
   Actively participate in and guide the development of advanced AI solutions, including deep learning, reinforcement learning, and graph neural networks
  </li>
  <li>
   Lead the implementation of state-of-the-art NLP solutions using spaCy, Hugging Face Transformers, and the latest Gen-AI APIs
  </li>
  <li>
   Architect and oversee vector search systems such as Weaviate, Pinecone, and Milvus
  </li>
  <li>
   Drive the development of autonomous and multi-agent systems environments
  </li>
  <li>
   Guide the integration of generative AI technologies (GPT, DALL-E, GANs)
  </li>
  <li>
   Utilise advanced transformer models like BERT, T5, and ViT to solve complex problems in NLP and computer vision.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Strategic Management:
 </p>
 <ul>
  <li>
   Develop technology roadmaps aligned with business objectives
  </li>
  <li>
   Collaborate with cross-functional teams to integrate AI solutions across the organisation
  </li>
  <li>
   Lead architecture decisions for cloud-based AI solutions
  </li>
  <li>
   Balance resource allocation across multiple AI initiatives
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  People Management:
 </p>
 <ul>
  <li>
   Build and lead a high-performing AI engineering team
  </li>
  <li>
   Provide technical mentorship and career development guidance
  </li>
  <li>
   Build a culture of innovation and continuous learning by driving the recruitment efforts of AI talent
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  Technical Skills:
 </p>
 <ul>
  <li>
   Expert-level proficiency in Python
  </li>
  <li>
   Expertise in TensorFlow, PyTorch, and scikit-learn Advanced level skills in using multiple LLM Frameworks such as Langchain, Langgraph.
  </li>
  <li>
   Hands-on experience with vector databases and similarity search systems
  </li>
  <li>
   Strong background in reinforcement learning and generative AI
  </li>
  <li>
   Practical experience with MLOps tools and practices
  </li>
  <li>
   Proficiency in big data technologies (Spark, Kafka, Hadoop)
  </li>
  <li>
   Experience with cloud platforms and edge computing solutions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Leadership Skills:
 </p>
 <ul>
  <li>
   8+ years of technical experience in AI/and 4+ years of engineering team management
  </li>
  <li>
   Proven track record of delivering complex AI projects
  </li>
  <li>
   Experience with agile development methodologies
  </li>
  <li>
   Ability to balance technical depth with business acumen
  </li>
  <li>
   Strong communication and stakeholder management skills
  </li>
  <li>
   Strategic thinking and problem-solving abilities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Extensive experience (8+ years) in AI/ML roles, with at least 4 years in a leadership capacity, delivering enterprise-grade solutions.
  </li>
  <li>
   Recognised contributions to AI research or projects, evidenced by publications or notable projects.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Company culture
  </strong>
  :
 </p>
 <ul>
  <li>
   Join a diverse, inclusive workplace that values innovation and cross-cultural collaboration.
  </li>
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   Enjoy competitive compensation, professional development opportunities
  </li>
  <li>
   Be part of a company recognized for excellence and committed to career growth opportunities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  You'll be part of our Cyberjaya office, home to 600 talented professionals driving innovation in online trading. Our purpose-built, five-storey building enhances collaboration and creativity, leveraging cutting-edge AI and no-code/low-code platforms to push boundaries. You'll join a vibrant workplace where weekly knowledge-sharing sessions, cross-functional collaborations, and cultural celebrations create an engaging atmosphere. You'll work in a stimulating, high-tech environment featuring modern conference rooms, a fully-furnished gym, and barista-made coffee, all designed to keep you motivated and inspired.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our culture is unique, and we live by our values and leadership principles, so it's worth learning more about Deriv's culture.
 </p>
</div>


AI Engineering Team Leader

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
Key Responsibilities ? Solution Architecture &amp; Development o Lead the end-to-end development of GenAI solutions, from ideation to production deployment. o Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalent. o Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI. ? Technical Leadership o Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence. o Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and deployment. o Collaborate with data scientists to optimize models for performance, cost, and accuracy. ? Stakeholder Collaboration o Partner with product managers, business leaders, and domain experts to identify high-value GenAI use cases. o Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients. ? Governance &amp; Security o Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AI-driven applications. o Ensure adherence to ethical AI principles and responsible use of Generative AI technologies. Required Skills &amp; Experience ? Technical Expertise o 10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative AI, LLMs, or advanced AI/ML. o Proficiency in Python, Node.js, or equivalent languages for AI solution development. o Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and RAG pipelines. o Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized deployments (Docker, Kubernetes). o Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration. ? Leadership &amp; Delivery o Proven track record of leading cross-functional development teams to deliver enterprise-scale AI products. o Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps). ? Domain Knowledge o Exposure to industries like retail, finance, healthcare, or QSR (preferred). o Understanding of data governance, security, and compliance in AI/ML applications. Preferred Qualifications ? Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise SaaS ecosystems. ? Knowledge of MLOps and AI model monitoring frameworks. ? Certifications in AI/ML, Azure AI Engineer, or OpenAI/LangChain (a plus). ? Contributions to open-source AI projects or AI research publications. Key Attributes ? Strategic thinker with strong problem-solving and analytical skills. ? Excellent communication skills to engage both technical and non-technical stakeholders. ? Passion for emerging AI trends and the ability to rapidly learn new technologies.</p></div>
<p>EXPERIENCE</p>
<ul><div>8-11 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): Node.js, Python, Azure AD, TensorFlow, NLP, Pytorch</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

AI / ML Developer (Lead)

Movius Interactive

<div></div><div><div><b>Job Title: Senior Staff Engineer &ndash; AI</b><br>
<b>Location:</b> Bangalore, India (Hybrid)</div>
<p></p><div><b>Your Opportunity</b></div>
<div>At <b>Movius</b>, we are building next-generation communication intelligence powered by AI. As a <b>Senior Staff Engineer &ndash; AI</b>, you will architect scalable AI systems, lead model development and deployment best practices, and mentor cross-functional teams spanning <b>Machine Learning, Data Engineering, and Backend Engineering</b>.</div>
<div>You&rsquo;ll work closely with <b>Product, Data Science, and Infrastructure</b> teams to design intelligent, data-driven products that drive measurable business and user impact.</div>
<p></p><div><b>What You&rsquo;ll Do</b></div>
<div><b>1. AI System Architecture &amp; Design</b></div>
<ul><li>Lead the design and implementation of end-to-end AI/ML systems &mdash; from data ingestion and training to deployment and monitoring.</li>
<li>Define best practices for <b>model lifecycle management, feature engineering, and MLOps infrastructure</b>.</li>
<li>Ensure scalability, robustness, and efficiency across AI platforms.</li>
</ul><div><b>2. Technical Leadership &amp; Execution</b></div>
<ul><li>Drive key AI initiatives that influence multiple product lines.</li>
<li>Review, guide, and optimize the design of ML models, APIs, and distributed ML pipelines.</li>
<li>Ensure system performance, ethical AI practices, and compliance with security and governance standards.</li>
</ul><div><b>3. Research &amp; Innovation</b></div>
<ul><li>Stay ahead of emerging AI trends and translate research into production use cases.</li>
<li>Evaluate and integrate cutting-edge technologies like <b>LLMs, generative AI, and reinforcement learning</b> into Movius products.</li>
</ul><div><b>4. Mentorship &amp; Collaboration</b></div>
<ul><li>Mentor senior ML engineers and data scientists on technical design, experimentation, and model evaluation.</li>
<li>Collaborate with Product and Data teams to convert business problems into AI-driven solutions with measurable impact.</li>
</ul><div><b>5. Delivery &amp; Continuous Improvement</b></div>
<ul><li>Own the <b>AI systems roadmap</b>, ensuring timely delivery of scalable models and services.</li>
<li>Define standards for <b>testing, explainability, and monitoring</b> of AI models in production.</li>
</ul><p></p><div><b>What You Bring</b></div>
<ul><li><b>10+ years</b> of experience in Software Engineering or Data Science, including <b>3+ years</b> in applied AI/ML leadership roles.</li>
<li>Proven experience architecting, deploying, and maintaining <b>production-scale ML systems</b>.</li>
<li>Strong programming skills in <b>Python</b>, with expertise in ML frameworks such as <b>PyTorch</b> or <b>TensorFlow</b>.</li>
<li>Hands-on experience with <b>ML pipelines</b> and tools such as <b>Kubeflow, Airflow, Vertex AI, or SageMaker</b>.</li>
<li>Deep understanding of <b>machine learning fundamentals</b>, model lifecycle management, and real-world deployment.</li>
<li>Expertise in <b>cloud-based ML infrastructure</b> (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).</li>
<li>Excellent communication and collaboration skills, with the ability to influence technical direction across teams.</li>
</ul><p></p><div><b>Nice to Have</b></div>
<ul><li>Experience working with <b>LLMs, transformer architectures, vector databases, and RAG pipelines</b>.</li>
<li>Understanding of <b>AI safety, fairness, and explainability</b> principles.</li>
<li>Publications, patents, or open-source contributions in AI/ML.</li>
<li>Domain knowledge in <b>NLP, speech, computer vision</b>, or <b>recommendation systems</b>.</li>
</ul>
<p></p><h3 class="jobSectionHeader"><b>Why Join Movius</b></h3>
<ul><li>Play a role in shaping next-generation <b>AI + Voice solutions</b> with real-world impact across domains such as telephony, logistics, and customer engagement.</li>
<li>Work directly with <b>executive and product leadership</b> while staying technically hands-on.</li>
<li>Be part of a <b>collaborative, innovation-driven culture</b> with access to modern AI toolchains and infrastructure.</li>
</ul><div><b>Ready to build the future of reliable, secure, and intelligent communication?</b><br>
Apply now at www.movius.ai</div></div><div></div>

Senior Staff Engineer, AI

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