ai/ml lead

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
Strong leadership and communication skills to lead teams of AI/ML developers Experience in defining and implementing software development processes and best practices Expertise in advanced AI/ML concepts and tools like natural language processing, computer vision, TensorFlow, Keras, PyTorch, etc. Experience in integrating AI/ML with backend technologies like databases, messaging systems, etc. Strong understanding of software engineering principles and practices.</p><p>
Core Skills Expertise in developing and optimizing complex AI/ML applications Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies Familiarity with software testing and debugging best practices.Core SkillsKey Responsibilities ? Solution Architecture &amp;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;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;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;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><br>
<p></p>
<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): TensorFlow</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)

ahlibank

<div>
 <strong>
  SUMMARY OF ROLE:
 </strong>
 <br/>
 Lead the bank's AI, Machine Learning, and data transformation initiatives to drive digital innovation, enhance customer experience, and monetize data assets. This role focuses on strategic oversight of data transformation, enabling the bank to harness the value of data for operational efficiency, customer engagement, and revenue generation, while adhering to governance frameworks and ethical standards.
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 <strong>
  KEY RESPONSIBILITIES:
  <br/>
 </strong>
 <strong>
  AI/ML Strategy and Implementation:
  <br/>
 </strong>
 &bull; Support in developing and implementing a 3-year AI/ML strategy aligned with the bank's innovation and digital transformation goals.
 <br/>
 &bull; Identify and oversee AI/ML opportunities in customer-facing solutions, such as financial advisors, product matching, gamification, and conversational AI.
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 &bull; Ensure AI solutions are scalable, secure, and aligned with the bank's innovation and ethical standards.
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 <strong>
  AI solution delivery and lifecycle ownership
  <br/>
 </strong>
 &bull; Oversee end-to-end AI/ML solution lifecycle: discovery, data readiness, model development/selection, evaluation, deployment, monitoring, and continuous improvement.
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 &bull; Ensure AI solutions are scalable, resilient, secure, and aligned with ethical and responsible AI principles.
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 &bull; Define and enforce model governance practices (validation, performance thresholds, drift monitoring, versioning, retraining triggers, documentation).
 <br/>
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 <strong>
  Data Transformation Oversight:
  <br/>
 </strong>
 &bull; Provide operational and strategic support to the direction for the bank&rsquo;s data transformation program, ensuring alignment with business goals.
 <br/>
 &bull; Oversee the transition to a data-driven culture, facilitating the integration of data into decision-making processes across all departments.
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 &bull; Ensure robust data governance frameworks are in place, adhering to compliance, privacy, and security standards, particularly within the Omani regulatory context.
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 &bull; Collaborate with the PMO, Transformation Office, and business units to ensure seamless execution of data-related initiatives.
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 <strong>
  Data Monetization:
  <br/>
 </strong>
 &bull; Identify and capitalize on opportunities to monetize the bank&rsquo;s data assets through innovative solutions.
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 &bull; Work with cross-functional teams to design and implement data products that generate fee income and enhance customer value.
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 &bull; Explore partnerships and collaborations to leverage data for new revenue streams, ensuring the bank remains competitive in the market.
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 <strong>
  Governance and Compliance:
  <br/>
 </strong>
 &bull; Lead the establishment of governance frameworks for AI and data programs, ensuring ethical and responsible use of technologies.
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 &bull; Conduct periodic reviews of AI and data initiatives, addressing risks, privacy concerns, and compliance with local and international regulations.
 <br/>
 &bull; Balance innovation and stringent data privacy requirements, offering strategic solutions to potential conflicts.
 <br/>
 <br/>
 <strong>
  R&amp;D and Innovation:
  <br/>
 </strong>
 &bull; Stay informed about the latest trends in AI, ML, and data transformation, applying insights to the bank&rsquo;s strategy.
 <br/>
 &bull; Evaluate emerging technologies to assess their potential impact on the bank's data and AI landscape.
 <br/>
 &bull; Drive experimentation and pilots to test innovative AI and data monetization use cases.
 <br/>
 <br/>
 <strong>
  Team Leadership and Development:
  <br/>
 </strong>
 &bull; Mentor and upskill team members to foster expertise in AI, ML, and data transformation.
 <br/>
 &bull; Build a pipeline of talent to support the bank&rsquo;s long-term innovation and data goals.
 <br/>
 &bull; Promote a data-driven and innovation-focused culture within the organization
 <br/>
 <br/>
 <br/>
 <br/>
 Requirements
 <br/>
 <br/>
 &bull; Omani nationals only
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 &bull; Bachelor&rsquo;s degree in AI, Data Science, Computer Science, Engineering, or a related field, with 5&ndash;8 years of experience in AI/ML and data roles, including 2+ years in a lead role.
 <br/>
 &bull; Proven delivery of production AI solutions, strong hands-on AI/ML or data engineering background, and experience leading cross-functional stakeholders, with familiarity in cloud or on-prem platforms (AWS, Azure, GCP), lakehouse architectures, Spark/SQL, containers, API integration, and working knowledge of LLMs, RAG, and vector databases.
 <br/>
 <br/>
 <br/>
 <br/>
 <br/>
 <br/>
 <br/>
</div>


AI/ML and Data Transformation Lead

<div><ul><li><b>Education: </b>A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li><b>Experience:
</b><ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li><b>Technical Skills:
</b><ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>
<br><div><ul><li><b>Education: </b>A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li><b>Experience:
</b><ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li><b>Technical Skills:
</b><ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>

Lead Machine Learning and AI

Sense Talent Labs, Inc.

<div></div><div><div><div><div><div><div><div>India</div></div><div></div><div><div>
Bengaluru</div></div></div></div></div><div><div><b>
</b></div></div></div><div><div><div><div><div><p><b>
About Us</b></p><div><div><div>
Sense is transforming the way companies hire with AI-powered technology designed to bring unprecedented speed, precision, and personalization to every step of the recruiting process. Our mission is to reimagine how organizations engage with talent&mdash;creating faster, smarter, and more human experiences for employers, recruiters, and job seekers alike.</div><div></div><div><br>
Founded in 2015, Sense is a high-growth HR Tech SaaS company serving over 1,000 customers worldwide. With 250+ team members and backing from Google Ventures, SoftBank, Accel, and Avataar Ventures, we&rsquo;ve scaled rapidly and continue to lead innovation in talent engagement and automation.</div><div></div><div><br>
Our diverse and collaborative team is tackling one of the most universal challenges in the workforce&mdash;helping people find meaningful work faster. At Sense, you&rsquo;ll have the opportunity to shape innovative AI solutions that are changing how the world hires, impacting millions of careers globally. Join us in building the future of hiring.</div></div></div></div></div></div></div></div><div><div><div><div><p><b>
Job Description</b></p><div><div><div><b>
About the role</b></div><div></div><div><br>
We care deeply about the success of our customers and strive to help them achieve their goals in inspiring and engaging with their workforce. Sense is seeking a Lead Data Scientist to deliver our contractor communication platform to the world's best places to work. Sense is a rapidly scaling company making this the best environment to take on ownership as well as learning how to grow a company.</div><div></div><div><br>
Sense is building an intelligent recruiting automation platform to help job seekers find the right opportunity. Sense's platform is responsible for interactions with millions of candidates for help gathering their relevant skills, updating their resumes and identifying those jobs for which they are best suited. We're excited to expand the Sense platform with new capabilities to save candidates and recruiters time and streamline the hiring process.</div>
<div>
We're looking for a hands-on technical lead to lead a team of talented data scientists with an interest in dialog systems, natural language processing, textual analysis, and recommendation systems.</div><div></div><div><b><br>
Responsibilities</b></div>
<ul><li>Lead and mentor a group of data scientists to tackle impactful problems such as Recommendation, Search Relevance, Knowledge Graph, etc. Your efforts will critically impact the growth of Sense&rsquo;s Talent Management Platform.</li></ul>
<ul><li>Analyze datasets with traditional and modern data science techniques</li></ul>
<ul><li>Design new models and algorithms and develop proof-of-concept implementations</li></ul>
<ul><li>Support executive leadership in developing Data Science &amp; NLP strategy</li></ul>
<ul><li>Keep up-to-date on advances in NLP</li></ul>
<ul><li>Leverage deep technical knowledge and work across data science, product and engineering teams working together to accomplish extremely ambitious goals and build a great product.</li></ul></div></div><div></div><p><b><br>
Job Requirement</b></p><div><div><div><b>
Basic Qualifications</b></div>
<ul>
<li>10+ years experience with building machine learning systems in a professional setting, with 3+ years specialisation in natural language processing</li>
<li>Superb quantitative background (e.g. machine learning, statistics or computer science). Graduate degree required. Bias towards action and impact &ndash; able to structure a project from idea, prototyping, productionization to impact quantification. Industry experience with a proven track record of delivering impactful results preferred.</li>
<li>Prior team-lead or manager experience. You&rsquo;ll be leading and will have the opportunity to build, scale and nourish a team of experienced professionals.</li>
<li>Advanced quantitative degree (Master and above)</li>
<li>Hardworking and attentive self-starter, great communicator, amazing follow-through &ndash; you have a great work ethic and love the responsibility of being held accountable for the results.</li>
<li>Strong understanding of LLMs and their building blocks</li>
<li>Familiarity with orchestration tools (LangChain, LangGraph, LlamaIndex, CrewAI)</li>
<li>Strong understanding of Prompt Engineering</li>
<li>Experience with Generative AI frameworks &amp; LLMs (GPT-5, Claude, LLaMA, Gemini, etc.)</li>
<li>Vector databases (FAISS, Pinecone, Chroma) and indexing strategies</li>
<li>API/service development (FastAPI, Flask, Docker, REST) + DBs (SQL, NoSQL, Redis)</li>
<li>Cloud AI/ML skills (AWS SageMaker, Bedrock, S3, Lambda / GCP / Azure)</li>
</ul>
<div><b>Preferred Qualifications</b></div>
<ul>
<li>Prior research or industry experience in the Recommender Systems (RecSys), Personalization, Search Relevance, Information Retrieval (IR), Deep Learning, Reinforcement Learning or Natural Language Processing (NLP) preferred.</li>
<li>Advanced quantitative degree (PhD)</li>
<li>Previous software engineering background is a plus.</li>
<li>Familiarity with cloud platforms (AWS, Google Cloud Platform)</li>
<li>MLOps - containerization (Docker), orchestration (K8s), CI/CD pipelines</li>
<li>Familiarity with technical tools such as Keras/Tensorflow/PyTorch and Hive/Spark.</li>
<li>Understanding of Ethical AI practices, AI governance, reproducible pipelines.</li>
</ul><div><b>Additional Information &ndash; Perks &amp; Benefits</b></div>
<ul><li>Equity</li>
<li>Medical insurance for employees and dependents</li>
<li>Quarterly Professional Development allowance</li>
<li>Company Wellness Days (On months without holidays, you are still given a 3-day weekend)</li>
</ul>
<div>Sense is an equal-opportunity employer. We believe that diversity, inclusion, and belonging are integral to our success and do not discriminate based on race, color, religion, age, or any other basis protected by law. All your information will be kept confidential according to EEO guidelines.</div></div></div></div></div></div></div></div><div></div>

Senior/Lead Data Scientist

Fossphorus Software House

<p>Designation: Senior AI&ndash;ML Developer</p><p>Employment Type: Full-time</p><p>Location: Gulshan e Iqbal Block 14 near Civic Center, Karachi</p><p>About Us:</p><p>Fossphorus is a dynamic IT and digital solutions company, empowering businesses since 2018 with innovation across software development, web &amp; mobile apps, AI, cloud, cybersecurity, ERP, data analytics, IT consulting, and more. We blend creativity, technology, and strategic insight to deliver user-centric, scalable digital experiences that drive measurable business results. With global offices and a focus on growth through client partnerships, Fossphorus is poised to expand its reach further.</p><p>Job Summary:</p><p>We are seeking a Senior AI&ndash;ML Developer (5&ndash;8 years) to lead the design, development, and deployment of AI/ML systems. The role includes architecting solutions, mentoring junior team members, and driving strategic AI initiatives across the company.</p><p>Key Responsibilities:</p><p>- Lead AI/ML projects from concept to deployment</p><p>- Design and implement scalable machine learning pipelines and solutions</p><p>- Evaluate, select, and optimize ML algorithms and frameworks</p><p>- Deploy AI/ML models to production with monitoring and maintenance</p><p>- Mentor and guide junior and mid-level AI developers</p><p>- Collaborate with business and product teams to identify opportunities for AI-driven improvements</p><p>- Research and integrate new AI/ML technologies and best practices</p><p>Required Skills &amp; Qualifications:</p><p>- 5&ndash;8 years of AI/ML development experience</p><p>- Expert in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras)</p><p>- Deep understanding of ML algorithms, neural networks, NLP, and computer vision</p><p>- Strong experience with data preprocessing, model evaluation, and optimization</p><p>- Experience in cloud deployment and containerization (AWS/GCP/Azure, Docker, Kubernetes)</p><p>- Strong problem-solving, analytical, and leadership skills</p><p>Preferred Skills:</p><p>- Experience in AI architecture design and end-to-end ML pipelines</p><p>- Familiarity with big data ecosystems (Spark, Hadoop)</p><p>- Knowledge of AI ethics, bias, and explainability</p><p>How to Apply:</p><p>Send resume + GitHub/project links to talent@fossphorus.com with the subject: &ldquo;Senior AI&ndash;ML Developer&quot;&quot;</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs250,000.00 per month</p><p>Work Location: In person</p>

Senior AI–ML Developer

Dataflix

<div><div><p><b>Overview</b></p><p>
We are seeking a <b>highly senior AI professional</b> with deep expertise in <b>Machine Learning, Large Language Models (LLMs), and Agentic AI systems</b>, who can <b>lead the AI technical team end-to-end</b>. This role is ideal for a seasoned <b>Data Scientist / AI Architect</b> who has hands-on experience building, scaling, and deploying advanced AI solutions and has worked extensively with <b>IBM Watson</b> along with other modern AI frameworks.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Lead the <b>design, development, and deployment</b> of advanced ML, NLP, and GenAI solutions.</li><li>
Architect and implement <b>LLM-based and Agentic AI systems</b> for real-world enterprise use cases.</li><li>
Provide <b>technical leadership and mentorship</b> to AI/ML engineers and data scientists.</li><li>
Drive <b>model experimentation, evaluation, optimization, and productionization</b>.</li><li>
Collaborate with product, engineering, and business teams to translate problems into AI solutions.</li><li>
Stay current with emerging AI research and apply it to business innovation.</li></ul><p><b>
Requirements</b></p><ul><li><b>
Strong foundation in Machine Learning &amp; Statistics</b> (supervised, unsupervised, deep learning).</li><li>
Extensive experience with <b>NLP, Generative AI, and Large Language Models (LLMs)</b>.</li><li>
Proven hands-on experience working with AI frameworks, IBM Watson experience will be an added advantage.</li><li>
Experience with <b>Agentic AI frameworks</b>, orchestration, and multi-agent systems.</li><li>
Proficiency in <b>Python</b> and ML/DL frameworks such as <b>TensorFlow, PyTorch, Scikit-learn</b>.</li><li>
Experience with <b>LLM frameworks</b> like <b>LangChain, LlamaIndex, Hugging Face</b>, or similar.</li><li>
Strong understanding of <b>model deployment, MLOps, and cloud-based AI solutions</b>.</li><li>
Experience working with <b>Azure, AWS, or GCP</b> AI/ML services is a plus.</li></ul></div></div>
<br><div><div><p>Location</p>
<p>Hyderabad, India</p>
</div><div><p>Salary</p>
<p>TBD</p>
</div><div><p>Job Type</p>
<p>Full-time</p>
</div><div><p>Date Posted</p>
<p>December 19th, 2025</p></div></div>

Principal AI Architect & Data Scientist

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
Expertise in developing and optimizing complex AI/ML applications Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies Familiarity with software testing and debugging best practices.</p><p>
Core Skills Expertise in developing and optimizing complex AI/ML applications Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies Familiarity with software testing and debugging best practices.Core SkillsKey Responsibilities ? Solution Architecture &amp;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;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;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;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><br>
<p></p>
<p>EXPERIENCE</p>
<ul><div>3-4.5 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): TensorFlow</div></ul></div><p></p>

AI / ML Developer (Standard)

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