ai/ml lead

NLP PEOPLE

<p>NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence</p><p>The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.</p><p>The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.</p><p>Job Responsibilities<br>• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community<br>• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems<br>• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production<br>• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</p><p>Required qualifications, capabilities, and skills<br>• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods<br>• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field<br>• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)<br>• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals<br>• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.<br>• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments<br>• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</p><p>Preferred qualifications, capabilities, and skills<br>• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development<br>• Knowledge in search/ranking, Reinforcement Learning or Meta Learning<br>• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code<br>• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</p><p>About MLCOE<br>The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning</p><p>For more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: </p><p>The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p> Company: <p>Chase- Candidate Experience page</p> Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): <p>Senior (5+ years of experience)</p><p>Tagged as: Big Data , Industry , Natural Language Processing , NLP , Speech Recognition , United Kingdom </p><img src="https://www.jobg8.com/Tracking.aspx?Ju8ovp2JVQHH5b0Wvhj8gtSh3v%2bbyQjen" width="0" height="0" />

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Aliqan Services Private Limited

<p><b>Job Title:</b> <b>Lead AI/ML &amp; NLP Consultant</b></p><p><b>Experience : 7+ years </b></p><p><b>Location : Remote </b></p><p><b>Mode: 6 month Contract + ext.</b></p><p><b>Key Responsibilities</b></p><ul><li><b>Lead the end-to-end design, architecture, and implementation</b> of complex AI/ML and Natural Language Processing (NLP) models, focusing on intelligent automation, document processing, and data extraction solutions.</li><li>Guide the technical team in selecting and implementing the most appropriate AI/ML algorithms, frameworks, and tools for business objectives.</li><li><b>Maintain deep expertise</b> in the latest advancements in AI, LLMs, and NLP techniques</li><li><b>Serve as the primary technical point of contact for international clients</b> (requiring flexible <b>UST time</b> working hours).</li><li><b>Proactively interact and build strong professional rapport</b> with client stakeholders, business analysts, and technical teams.</li><li>Translate ambiguous business challenges and client requirements into clear, comprehensive technical specifications and project roadmaps.</li><li><b>Lead the production deployment</b> of AI/ML models, ensuring scalability, reliability, and security in live environments.</li><li>Be accountable for <b>handling production support issues</b> and escalations in a live, mission-critical environment, including troubleshooting and performance optimization of deployed models.</li><li>Establish MLOps best practices, including continuous integration, continuous delivery (CI/CD), monitoring, and retraining pipelines.</li><li>Lead, mentor, and guide a team of AI/ML Engineers and Data Scientists, fostering a culture of technical excellence and accountability.</li><li>Conduct technical reviews and ensure adherence to coding standards, documentation, and best practices across the team.</li></ul><p><b>Required Qualifications:</b></p><ul><li><b>Experience:</b> 7+ years of progressive experience in developing and deploying AI/ML and NLP solutions.</li><li><b>Technical Domain Expertise (Must Have):</b></li><li>Deep, hands-on experience with modern <b>Natural Language Processing (NLP)</b> techniques, including but not limited to <b>LLMs/Transformers</b>, Named Entity Recognition (NER), Topic Modeling, Text Classification, and Document Understanding.</li><li>Expertise in <b>Machine Learning (ML)</b> frameworks (e.g., Python, TensorFlow, PyTorch, Scikit-learn).</li><li>Proven experience in designing and working with large, complex datasets for model training and validation.</li><li><b>Production &amp; MLOps Experience (Must Have):</b></li><li>Demonstrated experience in <b>handling production support in live environments</b>, including debugging, monitoring, and maintaining high-availability AI services.</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying and scaling ML models.</li><li><b>Leadership &amp; Communication (Must Have):</b></li><li>Proven ability to <b>lead and guide a technical team</b>.</li><li>Exceptional written and verbal communication skills; demonstrated experience in client-facing roles, including presenting technical concepts to non-technical audiences.</li></ul><p>Job Type: Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: &#8377;150,000.00 - &#8377;170,000.00 per month</p><p>Application Question(s):</p><ul><li>Do you have 7+ years of experience in AI/ML ?</li><li>Do you have experience in NLP ?</li><li>Do you have experience in Production &amp; MLOps ?</li></ul><p>Work Location: Remote</p>

Lead AI/ML & NLP Consultant

Guidewire Software, Inc.

<div><div><p><b>India - Bangalore</b><b>
</b></p><p>Professional Services/Full time/Onsite</p><p></p><div><br>
Guidewire is the leading provider of software solutions for the property and casualty insurance industry. Our platform empowers insurers to protect their customers during times of crisis, natural disasters, accidents, and cyber risks. We are committed to innovation, customer success, and building a collaborative, inclusive workplace where everyone can thrive</div></div><div><div><div>
Job Description</div><div></div><div>
The Opportunity</div><div>
We are seeking a strategic and experienced Senior Manager to lead our AI/ML initiatives. In this role, you will oversee the development and deployment of AI and machine learning solutions, driving innovation and aligning technical projects with business objectives. This is a unique opportunity to shape the future of AI-driven features within our insurance software platform and make a significant impact on the industry.</div><div></div><div>
What You Will Do</div><ul><div><div>
Lead and manage cross-functional teams to deliver AI/ML projects that enhance product capabilities and customer experience.</div></div><div><div>
Define and execute the AI/ML roadmap, ensuring alignment with business goals and technological advancements.</div></div><div><div>
Collaborate with product management, data science, and engineering teams to identify opportunities for AI/ML integration.</div></div><div><div>
Oversee the design, development, and deployment of scalable AI/ML solutions.</div></div><div><div>
Establish best practices, standards, and governance for AI/ML development and deployment within the organization.</div></div><div><div>
Monitor industry trends and emerging AI/ML technologies to guide innovation strategies.</div></div><div><div>
Build and mentor a high-performing team of data scientists, ML engineers, and developers.</div></div><div><div>
Manage stakeholder expectations and communicate project progress effectively.</div></div></ul><div></div><div>
What We&rsquo;re Looking For</div><ul><div><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related fields; MBA or equivalent preferred.</div></div><div><div>
10+ years of experience in AI/ML development, with 3+ years in a leadership or managerial role.</div></div><div><div>
Proven success in delivering AI/ML solutions in enterprise environments, ideally within insurance or SaaS industries.</div></div><div><div>
Strong knowledge of AI/ML frameworks, cloud platforms, and data analytics tools.</div></div><div><div>
Excellent leadership, strategic thinking, and stakeholder management skills.</div></div><div><div>
Ability to translate business needs into technical solutions and manage multiple projects simultaneously.</div></div></ul><div></div><div>
Preferred Qualifications</div><ul><div><div>
Experience working with Guidewire products or insurance domain expertise.</div></div><div><div>
Relevant certifications in AI/ML, cloud platforms, or project management.</div></div><div><div>
Strong understanding of software development lifecycle and Agile methodologies.</div></div></ul><div></div><div>
Why Guidewire</div><ul><div><div>
Lead innovative AI/ML initiatives that transform the insurance industry.</div></div><div><div>
Work with a talented and collaborative team.</div></div><div><div>
Influence the future of our platform and help shape industry standards.</div></div><div><div>
Thrive in an open, supportive, and inclusive work environment.</div></div></ul></div><div></div><div><div>
Interested in this position?</div></div></div></div><p></p>
<br><div><div>About Guidewire</div><div></div><div>
Guidewire is the platform P&amp;C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.</div><div></div><div>
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&amp;D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.</div><div></div><div>
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
</div><div></div><div>Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.</div></div>

AI/ML Senior Manager

CrecenTech

<p>We are looking for a strategic and technically skilled AI/ML Lead to define and drive our organization&rsquo;s artificial intelligence roadmap. This key leadership position blends advanced hands-on AI/ML development with strategic oversight. The ideal candidate will design and deliver scalable AI solutions, lead engineering teams, and embed intelligent capabilities into our core platforms and products. We seek someone who is both visionary and results-driven&mdash;capable of turning complex business needs into real-world, impactful AI applications.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and deploy end-to-end AI/ML solutions across areas such as:</li><li><b>Computer Vision</b>: Object detection, OCR, facial recognition</li><li><b>Natural Language Processing (NLP)</b>: Semantic search, chatbots, summarization</li><li><b>AI Agents &amp; Knowledge Bots</b>: RAG (retrieval-augmented generation), agentic workflows</li><li><b>Predictive Analytics</b>: Classification, forecasting, and recommendations</li><li>Customize and fine-tune pre-trained and open-source models using production data</li><li>Integrate AI capabilities into platforms such as <b>StaffViz</b> and internal CRMs</li><li>Architect AI systems utilizing vector databases, knowledge bases, and RAG methods</li><li>Mentor engineering teams on AI/ML tools, methodologies, and best practices</li><li>Collaborate closely with DevOps and software teams for smooth deployments</li><li>Stay current with industry advancements in AI, research trends, and tools</li></ul><p><b>Required Technical Skills:</b></p><ul><li>Strong command of <b>Python</b>, <b>PyTorch</b>, <b>TensorFlow</b>, <b>Scikit-learn</b></li><li>Experience with frameworks like <b>Hugging Face Transformers</b>, <b>LangChain</b>, <b>LlamaIndex</b>, <b>Haystack</b></li><li>API development using <b>FastAPI</b> or <b>Flask</b></li><li>Solid understanding of <b>Docker</b>, <b>Git</b>, and CI/CD workflows</li></ul><p><b>Hands-on Expertise In:</b></p><ul><li><b>Computer Vision</b>: YOLOv8, Detectron2, SAM, CLIP, OpenCV</li><li><b>LLMs/NLP</b>: LLaMA 2, Falcon, Mistral, T5, GPT-J, Zephyr, Orca</li><li><b>Speech AI</b>: Whisper, Coqui TTS, ESPnet</li><li><b>AI Agents</b>: CrewAI, AutoGPT, BabyAGI</li><li><b>Vector Databases</b>: Weaviate, Pinecone, ChromaDB, FAISS</li><li><b>Predictive Modeling</b>: XGBoost, LightGBM, Prophet</li></ul><p><b>Preferred Tools &amp; Experience:</b></p><ul><li>Experiment tracking with <b>MLFlow</b> or <b>Weights &amp; Biases</b></li><li>Familiarity with cloud-based AI services (AWS, GCP, Azure)</li></ul><p><b>Leadership &amp; Collaboration:</b></p><ul><li>Proven team leadership and mentoring experience</li><li>Strong communication and problem-solving skills</li><li>Ability to manage cross-functional initiatives in dynamic environments</li></ul><p><b>Qualifications:</b></p><ul><li>8+ years of experience in AI/ML development</li><li>At least 4 years in a technical or team leadership role</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related fields</li><li>Demonstrated success in delivering AI solutions from concept to production</li></ul><p><b>Employee Benefits:</b></p><ul><li>13 Salaries Per Year (1 Salary as a Bonus)</li><li>At least two bonuses per year (Eid Bonus)</li><li>Monthly Punctuality Allowance</li><li>Monthly Inflation Allowance</li><li>Performance-Based Bonuses</li><li>Annual Leaves Encashment</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Double salary on Gazetted Holidays</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul><p><b>Job Location: Model Town Link Road, Lahore</b><br/><b>Job Timings: Evening Shift</b></p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Have you deployed AI/ML models into production environments using tools like FastAPI, Docker, and CI/CD pipelines?</li><li>What are your salary expectations?</li><li>Are you comfortable working evening shifts?</li><li>Have you fine-tuned or deployed large language models (LLMs) such as LLaMA 2, Falcon, or Mistral?</li><li>Are you familiar with cloud AI services like AWS SageMaker, Google Vertex AI, or Azure ML?</li><li>Have you spent a minimum of 4 years in a technical leadership or team lead role?</li></ul><p>Experience:</p><ul><li>AI/ML: 8 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior Lead AI/ML Engineer

Huntsmen and Barons

<p><b>Strong Python Programmer+ Machine Learning Lead+Agentic AI Framework (Certification or project exposure)</b></p><p><b>BAND: C1</b></p><p><b>Experience: </b>10+ Years</p><p><b>Job Title:</b> Sr AIML/GenAI Lead/Architect</p><p><b>Location:</b> Wipro Kodathi, Bangalore (5 Days work from office)</p><p><b>NO WFH Allowed</b></p><p><b>Job Summary:</b> We are seeking a highly skilled and versatile <b>Senior AIML/GenAI Lead</b> who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. Experience in Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB.</p><p>This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems.</p><p>You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement. If you thrive on taking ML models from concept to customer impact and possess exceptional software design skills, we encourage you to apply.</p><p><b>Key Responsibilities:</b></p><ul><li><b>ML Model Development &amp; Optimization:</b> Experience in developing and implementing generative AI models and algorithms. Collaborate with Data Scientists to understand business problems, explore data, develop, train, and evaluate machine learning models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Optimize models for performance, efficiency, and interpretability.</li><li><b>End-to-End ML Application Development:</b> Lead the design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.</li><li><b>Software Design &amp; Architecture:</b> Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services. Contribute significantly to the architectural decisions for our ML platform and applications.</li><li><b>Data Engineering for ML:</b> Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.</li><li><b>Performance &amp; Scalability:</b> Identify and resolve performance bottlenecks in ML systems. Ensure the scalability and reliability of deployed models under varying load conditions.</li><li><b>Collaboration &amp; Mentorship:</b> Work closely with cross-functional teams including Data Scientists, Software Engineers, Product Managers, and DevOps to integrate ML solutions seamlessly into our products. Potentially mentor junior engineers on best practices in ML engineering and software design.</li><li><b>Research &amp; Innovation:</b> Stay abreast of the latest advancements in machine learning, MLOps, and related technologies. Propose and experiment with new techniques and tools to improve our ML capabilities.</li><li><b>Documentation:</b> Create clear and comprehensive documentation for ML models, pipelines, and services.</li></ul><p><b>Required Qualifications:</b></p><ul><li><b>Education:</b> Master&rsquo;s degree in computer science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.</li><li><b>Experience:</b> 10+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar role.</li><li><b>Good to have Programming Skills:</b> Proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code. Experience with other languages (e.g., Java, Go, C++) is a plus.</li><li><b>Strong Software Engineering Fundamentals:</b> Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed systems.</li><li><b>Must have Machine Learning Expertise:</b></li><li>Solid theoretical and practical understanding of various machine learning algorithms</li><li>Proficiency with ML frameworks such as PyTorch, Scikit-learn.</li><li>Experience with feature engineering, model evaluation metrics, and hyperparameter tuning.</li><li><b>Data Handling:</b> Experience with SQL and NoSQL databases, data warehousing concepts, and processing large datasets.</li><li><b>Problem-Solving:</b> Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.</li><li><b>Communication:</b> Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Master's or Ph.D. in a relevant field.</li><li>Contributions to open-source projects or a strong portfolio of personal projects.</li><li>Experience with A/B testing and experimental design for ML models.</li><li>Knowledge of data governance, privacy, and security best practices in ML.</li></ul><p><b>Interested candidates can share their CV on neha.pawar@huntsmenbarons.com or WhatsApp on 9109961225.</b></p><p>Job Type: Full-time</p><p>Pay: &#8377;3,500,000.00 - &#8377;3,900,000.00 per year</p><p>Work Location: In person</p>

Sr AIML/GenAI Lead/Architect

Client of Involved Solutions

We have partnered with a Tier-1 Fintech organisation in the UAE to appoint a Head of Data Science. This strategic leadership role will oversee the growth of the data science function and embed AI/ML capabilities across the business. <br> <br><b>About the role:</b><p></p> <ul> <li>Lead and scale a high-performing data science team across multiple fintech domains.</li> <li>Define and deliver the data science strategy in alignment with business goals.</li> <li>Oversee the development of AI/ML models in fraud detection, credit scoring, and customer personalisation.</li> <li>Partner with C-suite stakeholders to ensure AI is embedded into product design and decision-making.</li> <li>Build strong governance, ensuring compliance with data privacy and regulatory standards.</li> </ul> <p> <br><b>About you:</b></p> <ul> <li>PhD or Masters in Computer Science, AI, or a quantitative discipline.</li> <li>12+ years of experience, with at least 5 in leadership roles within data/AI.</li> <li>Track record of delivering large-scale AI initiatives in fintech or financial services.</li> <li>Strong leadership and people management skills, with experience scaling data teams.</li> <li>Deep understanding of AI/ML frameworks, cloud platforms, and modern data architectures.</li> </ul>

Head of Data Science

Solifi

<div><div><p><b>Vacancy Name</b></p><div> Lead AI Engineer</div></div><br>
<div><p><b>
Vacancy No</b></p><div> VN781</div></div><br>
<div><p><b>
Job Title</b></p><div> Lead AI Engineer</div></div><br>
<div><p><b>
Work Location City</b></p><div> Bangalore</div></div><br>
<div><p><b>
About Solifi</b></p><div> Solifi deliver a solid financial technology foundation for equipment, working capital, wholesale, and automotive finance firms. At Solifi, we believe that commerce is only as strong as the system it runs on. Our mission is to reshape finance technology by bringing together proven solutions into a singular powerful technology platform designed to help protect and scale financial organizations. We guard our customers by being precise and reliable, we guide their success by combining powerful technology with proven expertise, and we help them grow by unleashing their potential.</div></div><br>
<div><p><b>
About the Team</b></p><div><div><div>
You&rsquo;ll work within Solifi&rsquo;s AI Product Team, a lean, senior group that owns AI products end-to-end from problem discovery to deployment and operations.</div></div><br>
</div></div><br>
<div><p><b>
About the Position</b></p><div> We&rsquo;re looking for a hands-on full-stack AI engineer who can architect, code, and ship AI-powered products end-to-end, from model integration to frontend experience.
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This role combines the depth of an AI/ML engineer with the breadth of a full-stack developer. You&rsquo;ll build production-grade AI systems that include backend services, frontend interfaces, data integrations, and deployment pipelines.
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You&rsquo;ll be the technical anchor of Solifi&rsquo;s AI product team, working closely with the AI Product Lead, Data Scientist, and Data Engineer to deliver scalable, customer-facing AI features.</div></div><br>
<div><p><b>
Role and Responsibilities</b></p><div> Own architecture and development of full-stack AI solutions - backend, APIs, and frontend experiences.
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Build and deploy production-ready AI applications integrating data pipelines, models, and user interfaces.
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Design and implement backend services (Python/Node) that connect ML models and business logic.
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Develop frontend interfaces (React, Angular, or similar) for pilots, internal tools, and live products.
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Implement model orchestration and inference APIs, with observability and scalability.
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Manage CI/CD, deployment, and monitoring (initially handle MLOps automation within the team).
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Work with Data Scientist and Data Engineer to streamline data flow and model serving.
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Ensure clean architecture, modular design, and strong security/compliance practices.
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Mentor team members and help shape engineering standards and reusable frameworks.</div></div><br>
<div><p><b>
About You</b></p><div><div><div><p><b>
Core Engineering:</b></p>
<ul><li><p>Proficient in Python and one backend framework (FastAPI, Flask, Node.js, or similar).</p>
</li><li><p>Strong grasp of microservices, API design, and distributed systems.</p>
</li><li><p>Solid experience with databases (PostgreSQL, MongoDB, Redis) and message queues (Kafka).</p>
</li><li><p>Proficient with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.</p>
</li><li><p>Cloud experience with GCP / AWS / Azure (compute, storage, IAM, networking).<br>
<br>
<b>Frontend Development:</b></p>
</li><li><p>Proficiency with React, Angular, or similar modern frameworks.</p>
</li><li><p>Experience building interactive dashboards, admin tools, or customer-facing UIs.</p>
</li><li><p>Strong grasp of JavaScript/TypeScript, HTML/CSS, and integration with REST/GraphQL APIs.</p>
</li><li><p>Familiarity with frontend testing, performance tuning, and responsive design.<br>
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<b>AI Integration:</b></p>
</li><li><p>Experience integrating ML or LLM models into production systems (LLMs, RAG, NLP, CV, etc.).</p>
</li><li><p>Familiarity with LangChain, Hugging Face, or open-source AI serving frameworks.</p>
</li><li><p>Understanding of model packaging, inference optimization, and monitoring.</p>
</li><li><p>Experience with vector databases and embeddings pipelines.<br>
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<b>Nice to Have</b></p>
</li><li><p>Built and deployed AI features for SaaS or financial platforms.</p>
</li><li><p>Exposure to serverless architectures (Cloud Run, Lambda, etc.).</p>
</li><li><p>Interest in UX and how AI functionality translates to user experience.</p>
</li><li><p>Early-stage startup or innovation lab experience (comfortable with ambiguity).<br>
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<b>Success in 6&ndash;12 Months</b></p>
</li><li><p>Deliver at least two AI features from prototype to production (end-to-end).</p>
</li><li><p>Establish foundational architecture for Solifi&rsquo;s internal AI platform.</p>
</li><li><p>Implement monitoring and CI/CD frameworks for AI deployments.</p>
</li><li><p>Mentor newer engineers and document best practices for AI product builds.</p><br>
</li></ul></div></div><br>
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<div><p><b>Preferred Experience Level</b></p><div> 8 years</div></div><br>
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Preferred Education Level</b></p><div> Bachelor's Degree</div></div><br>
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Employment Basis</b></p><div> Full Time</div></div><br>
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Benefits</b></p><div> Group Medical Insurance, Group Personal Accident, Employee Anniversary gift, Loyalty Bonus, Employee Referral Bonus, Rewards and Recognition program, Wellness Allowance, Privilege Leave (PL): 15 days per year, Casual Leave (CL) 12 days per year, Maternity/paternity/Bereavement leave</div></div><br>
<div><p><b>
Applications Close Date</b></p></div></div><div></div>

Lead AI Engineer

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