ai/ml engineer

ai ml engineer

XTEN-AV

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 About XTEN-AV
 
 
 
 XTEN-AV is the worlds first and only AI powered professional AV design platform which automates multiple types of drawings and documents which lets AV designers, integrators and manufacturers replace legacy methods of design &amp; documentation and increase their efficiency and productivity by 10X
 
 
 
 
 
 
 Role Overview
 
 
 
 As an AI Engineer at XTEN-AV, you will play a key role in developing and implementing AI solutions that enhance our products and services. You will collaborate with cross-functional teams to identify opportunities for AI integration and leverage your expertise in Python and machine learning to drive innovation.
 
 
 
 
 
 Responsibilities
 
 
 <ul>
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 Take ownership of AI projects: research, prototype, and develop models that address complex challenges.
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 Conduct R&amp;D to explore novel AI/ML approaches and implement scalable solutions.
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 Design and deploy machine learning and deep learning models for real-world applications.
 </li>
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 Implement AI/NLP models for tasks like classification, entity recognition, and context-aware predictions.
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 Collaborate with engineering and product teams to preprocess data, integrate AI models, and ensure system robustness and scalability.
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 Continuously evaluate and optimize model performance while staying updated on latest AI advancements.
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 Communicate insights, technical findings, and proposed solutions effectively to stakeholders.
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 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
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 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
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 2-3 years of experience in AI/ML development with strong proficiency in Python.
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 Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, or scikit-learn.
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 Solid understanding of deep learning, supervised and unsupervised learning, and algorithmic problem-solving.
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 Experience in graph-based learning and optimization algorithms is a plus.
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 Experience in data preprocessing, feature engineering, model evaluation, and performance optimization.
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 Familiarity with NLP tasks such as intent classification, entity recognition, or context-aware modeling.
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 Self-motivated, proactive, and capable of independent R&amp;D to identify and solve complex problems.
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 Strong problem-solving, communication, and teamwork skills.
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 </ul>
 
 
 
 
 
 Key Traits We&rsquo;re Looking For
 
 
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 Ownership mindset: takes initiative and drives projects end-to-end.
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 Curious and experimental: comfortable researching and prototyping new AI methods.
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 Pragmatic problem solver: balances innovation with practical implementation.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
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 Opportunity to work on cutting-edge AI projects that have a real-world impact.
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 Collaborative and inclusive work environment that values creativity and innovation.
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 Professional development opportunities and support for continuous learning.
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 Competitive compensation package with benefits.
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 Exciting challenges and opportunities for growth in a fast-paced industry.
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 </ul>
</div>

AI/ML Engineer

Oracle

<div>
 
 Job Description
 
 
 
 At Oracle Health, we are advancing healthcare through intelligent data-driven solutions. As a Data Scientist, you will contribute to model development and data analysis efforts that help transform clinical and operational data into meaningful insights.
 
 
 You will work closely with senior scientists to prepare data, build models, and evaluate performance&mdash;developing hands-on expertise in AI/ML and learning how to translate data science into real-world healthcare applications.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 Prepare, clean, and analyze structured and unstructured healthcare data (EHR, claims, text).
 
 
 Develop and test machine learning models under mentorship from senior data scientists.
 
 
 Contribute to exploratory data analysis, feature engineering, and model evaluation.
 
 
 Support deployment, testing, and documentation of AI/ML models.
 
 
 Collaborate with cross-functional teams on data pipelines and analytical use cases.
 
 
 Learn and apply best practices in healthcare data compliance and governance.
 
 
 
 Required Qualifications
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field.
 
 
 1&ndash;3 years of hands-on experience in data analysis, ML, or AI.
 
 
 Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, or PyTorch).
 
 
 Foundational understanding of NLP and Generative AI concepts.
 
 
 Strong analytical and problem-solving skills with attention to detail.
 
 
 
 Preferred Qualifications
 
 
 
 Exposure to healthcare data or interoperability standards (FHIR, HL7, ICD-10).
 
 
 Familiarity with cloud-based ML environments (OCI, AWS, Azure, GCP).
 
 
 Interest in AI research, publications, or open-source contributions.
 
 
 
 Responsibilities
 
 
 
 Contributes to the design and development of AI/ML models; supports data preparation and evaluation tasks; collaborates across teams to ensure accuracy and reproducibility; and builds foundational expertise to deliver high-quality healthcare AI solutions.
 
 
 
 Qualifications
 
 
 
 Career Level - IC2
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Data Scientist 2

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 The Opportunity
 
 
 Adobe is seeking Product Analytics Experts passionate about data collection, AI/ML, problem-solving, and data-driven decision-making. If you're excited to uncover hidden data trends, optimize user experiences, and drive growth for Adobe's Experience Cloud products, this is your opportunity to make a significant impact.
 
 
 Responsibilities:
 
 
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 Data Collection/Telemetry: Lead data collection efforts using tools like Adobe WebSDK and Adobe Launch, ensuring accurate tracking of user interactions and product performance. Collaborate with engineering teams to ensure smooth data flow and integrity.
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 AI/ML Application: Leverage AI and machine learning algorithms to automate data collection workflows, data validation of telemetry, predict trends, uncover insights, and optimize product features.
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 Product Optimization: Provide data-driven recommendations to optimize Adobe&rsquo;s Experience Cloud products, applying AI/ML models for continuous improvement.
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 Cross-Functional Collaboration: Work with product, engineering, and marketing teams to turn business needs into data-driven solutions.
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 End-to-End Project Ownership: Independently manage analytics projects, ensuring that data insights are implemented effectively to drive business impact.
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 Storytelling &amp; Communication: Present data insights clearly to both technical and non-technical stakeholders to inform product and business decisions.
 
 
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 </ul>
 Must-Have Requirements:
 
 
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 Experience: 3&ndash;5 years in data collection/telemetry, product analytics, data science, or related fields with a proven track record of solving complex problems using data in real-world environments.
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 SQL Expertise: Strong proficiency in SQL, especially in big data environments (e.g., working with distributed data warehouses like BigQuery, Snowflake, Redshift).
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 AI/ML Skills:
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 Hands-on experience applying machine learning algorithms to real-world problems such as product optimization, predictive modeling, user behavior analysis, or anomaly detection.
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 Practical use of AI/ML to automate data collection workflows, detect and correct telemetry errors, and uncover hidden insights in user interaction data.
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 Experience with feature engineering, model evaluation, and iteration in production settings.
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 Understanding of AI Models: Solid understanding of AI models, including ML supervised and unsupervised techniques. Experience working on production-level AI applications, contributing to model deployment, monitoring, and continuous improvement pipelines.
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 Programming Skills: Proficiency in Python or R for data analysis, statistical modelling, and implementing foundational to intermediate machine learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch.
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 Cross-Functional Collaboration: Proven ability to collaborate effectively with product managers, engineers, and designers to develop data-informed strategies and solutions.
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 Communication Skills: Ability to distil and present complex data insights in a clear, actionable manner tailored to both technical and non-technical stakeholders.
 
 
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 </ul>
 Good-to-Have:
 
 
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 Adobe Analytics: Experience with Adobe Analytics or Adobe Customer Journey Analytics.
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 Clickstream Data Implementation: Familiarity with tools like Adobe Launch or Google Tag Manager (GTM) for product tracking strategies.
 
 
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 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Product Analyst

<div>
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 Job Title: Associate Vice President (AVP) &ndash; AI/ML (Generative AI, Agentic &amp; LLM/VLM Technologies)
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 Experience: 12 to 16 years
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 Location: NCR
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 Department: Artificial Intelligence / Machine Learning / Emerging Technologies
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 Job Summary:
 
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 We are looking for a visionary and technically hands-on Associate Vice President (AVP) to lead strategic AI/ML initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies. This role blends deep technical proficiency with people and program management, driving the development and deployment of next-generation AI systems across the organization.
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 Key Responsibilities:
 
 
 
 
 Leadership &amp; Team Management:
 
 
 
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 Lead and manage a high-performing team of AI/ML engineers and data scientists.
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 Foster a culture of innovation, experimentation, and continuous improvement.
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 Provide technical direction, mentorship, and career development support.
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 Project &amp; Stakeholder Management:
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 Gather and translate business requirements into AI/ML solutions.
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 Manage project timelines, resources, and deliverables across cross-functional teams.
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 Communicate progress, challenges, and opportunities to senior stakeholders and executives.
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 Technical Execution &amp; Innovation:
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 Design, fine-tune, and deploy LLMs and VLMs for domain-specific and general-purpose use cases.
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 Build and operationalize Agentic AI systems that leverage autonomous agents capable of reasoning, planning, and interacting with users, environments, and other agents.
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 Develop and implement Agentic Technology frameworks, including task orchestration, memory management, and multi-agent collaboration.
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 Leverage the NVIDIA stack (CUDA, TensorRT, Triton Inference Server, etc.) for high-performance model training and deployment.
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 Build scalable ML pipelines and inference services using Python, PyTorch, TensorFlow, HuggingFace, and similar frameworks.
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 Research &amp; Thought Leadership:
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 Stay current with cutting-edge research in Generative AI, LLMs/VLMs, Agentic Systems, and AI Infrastructure.
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 Drive PoCs and pilot programs to evaluate new technologies and their business impact.
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 Represent the AI function in strategic discussions, product roadmaps, and technology planning.
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 Key Skills &amp; Experience:
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 12&ndash;16 years of experience in AI/ML, with a minimum of 5 years in a leadership role.
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 Proven track record in LLM/VLM fine-tuning, deployment, and real-world implementation.
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 Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, Observability, MCP/ A2A and decision-making architectures.
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 Strong background in Generative AI, including prompt engineering, RAG, and synthetic data generation.
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 Hands-on experience with NVIDIA AI stack (CUDA, TensorRT, Triton, etc.) for optimized training/inference workflows.
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 Strong proficiency in Python, with practical experience using ML frameworks like PyTorch, TensorFlow, HuggingFace Transformers.
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 Excellent communication and stakeholder management skills.
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 </ul>
</div>

Assistant Vice President

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
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 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
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 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
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 Research and implement advanced ML techniques to enhance existing systems.
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 Collaborate with CSP customers to create scalable, data-driven solutions.
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 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
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 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
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 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
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 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
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 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
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 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
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 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
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 </ul>
 It would be nice if you also had:
 
 
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 Familiarity with network automation, service assurance, and intent-based networking.
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 Pre-sales experience like RFPs, solution demos, customer workshops.
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 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
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 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
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 One of the World&rsquo;s Most Ethical Companies by Ethisphere
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 Gender-Equality Index by Bloomberg
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 Workplace Pride Global Benchmark
 
 
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 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Optimal Virtual Employee

<div>
 
 
 Hiring: Senior Consultant &ndash; Technical Leadership &amp; Task Management
 
 
 
 
 Location:
 
 Noida (Hybrid &ndash; 2 Days in Office)
 
 
 
 Contractual Role | ~26 Hours/Week | 5 Hours Onsite (2 Days/Week)
 
 
 
 
 &nbsp;
 
 
 
 
 We&rsquo;re looking for a Senior Consultant
 
 to oversee development tasks for a client-facing project using
 
 Python, Django/Next.js
 
 , and
 
 AI/ML
 
 technologies.
 
 
 You&rsquo;ll collaborate with the Project Lead and stakeholders to define, assign, and manage tasks &mdash; ensuring high-quality, on-time delivery.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Define and assign project tasks in
 
 Jira
 
 .
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 Supervise development progress and quality.
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 Resolve blockers and guide the team.
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 Communicate regularly with stakeholders.
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 Ensure timely, efficient task completion.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Experience in
 
 project management or senior consultancy
 
 roles.
 </li>
 <li>
 Hands-on background in
 
 Python, Django or Next.js
 
 , and
 
 ML algorithms
 
 .
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 <li>
 Skilled in
 
 Jira
 
 and team coordination.
 </li>
 <li>
 Excellent
 
 communication and problem-solving
 
 skills.
 </li>
 </ul>
</div>

Senior Consultant

Eightfold AI

<div>
 
 About Us
 
 
 
 Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who they are and their network's strength vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals and how jobs and career decisions are made. Eightfold offers the industry&rsquo;s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers.
 
 
 To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be!
 
 
 
 As a Software Engineer,
 
 
 
 
 What You'll DO
 
 
 
 <ul>
 <li>
 Develop robust, scalable, and configurable applications and modules with an emphasis on quality, performance, design, and re-usability.
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 Explore and learn the distributed systems, microservices, scalability etc.
 </li>
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 Collaborate with Product Management, Design, and the rest of Engineering to iterate and enhance our product
 </li>
 <li>
 Prototype new ideas and iterate toward the ideal user experience
 </li>
 <li>
 Participate in technical discussions and plans to improve our overall software code and quality
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 A solid grounding in Computer Science fundamentals with a prior work experience of 1-2 years.
 </li>
 <li>
 Strong hold on data structures and algorithms
 </li>
 <li>
 Passionate about designing, building, launching, and maintaining products
 </li>
 <li>
 Self-starter who loves to solve challenging problems in technology
 
 
 </li>
 </ul>
 
 Our Tech Stack
 
 
 
 We majorly use and are not limited to the below technologies:
 
 
 Python, ReactJS
 
 
 Flask, TensorFlow
 
 
 Apache Spark, Solr, Docker
 
 
 MySQL, AWS, Redshift,
 
 
 Various AI and ML technologies across products.
 
 
 Additionally, we hire engineers with experience in any of the mainstream programming languages.
 
 
 ﻿
 
 
 We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in your work and see your work's positive impact on your colleagues, our customers, and the world. We believe in providing transparency and support so you can do the best work of your career.
 
 
 
 Hybrid Work @ Eightfold:
 
 We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week.
 
 
 Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.
</div>

Software Engineer (Only Noida)

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