generative ai specialist

Client of Involved Solutions

<p>Design and implement Generative AI applications across customer service, onboarding, and compliance.</p> <ul> <li>Collaborate with product and engineering teams to integrate LLMs into existing platforms.</li> <li>Build scalable and secure architectures for AI solutions, ensuring data privacy and regulatory alignment.</li> <li>Drive innovation by staying ahead of developments in GenAI and adapting them for business impact.</li> </ul>

Generative AI Specialist

LatentView Analytics

<p></p><div><div><div><b>About the company : Databricks</b></div><div></div><div><br>
Databricks, Inc. is a San Francisco-based Software company. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence, including generative AI and other machine learning models.</div><div></div><div><b><br>
Designation: Assistant Manager - Data Science</b></div><div><b>
Experience: 6 to 8 years</b><br>
<b>Location: Remote-tn, Tamil Nadu, India (REM_TN)</b></div><div><b><br>
Job Description:</b></div><div></div><div><br>
We are seeking a highly skilled Generative AI Specialist to join our team. The ideal candidate will have expertise in Generative AI for data analysis and insights generation, as well as implementing Conversational AI solutions on databases like Databricks/Snowflake and BI applications such as Tableau and Power BI. This role requires the ability to develop and deploy AI applications using LLMs that enhance business intelligence capabilities through automated data analysis and natural language interactions.</div><div></div><div><b><br>
Responsibilities:</b></div><div></div><div><br>
Highly skilled Generative AI Specialist to join our team. The ideal candidate will have expertise in Generative AI for data analysis and insights generation, as well as implementing Conversational AI solutions on databases like Databricks / Snowflake and BI applications such as Tableau and Power BI. This role requires the ability to develop and deploy AI applications using LLMs that enhance business intelligence capabilities through automated data analysis and natural language interactions. Stakeholder Management, Presenting findings to leadership team</div><div></div><div><br>
Design, Develop and deploy Conversational AI solutions for database queries and BI tools like Tableau, Power BI, and other analytics platforms.</div><div></div><ul><li><br>
Leverage advanced Gen AI methodologies, workflows, agents, and graph-based approaches to process and analyze large datasets, delivering actionable insights.</li></ul><div></div><ul><li><br>
Proficient in integrating AI across the technology stack, including database like Databricks / Snowflake and reporting tools such as Power BI and Tableau</li></ul><div></div><ul><li><br>
Ensure ethical AI development, bias mitigation, and adherence to responsible AI practices.</li></ul><div></div><ul><li><br>
Work with large-scale datasets to train AI models efficiently and improve data-driven decision-making.</li></ul><div></div><ul><li><br>
Collaborate with multiple stake holders including program managers, data scientists, engineers, and business analysts to integrate AI solutions into data pipelines.</li></ul><div></div><ul><li><br>
Stay up to date with advancements in AI research and apply best practices in AI model development.</li></ul><div></div><div><br>
Required Skills &amp; Qualifications:</div><div></div><ul><li><br>
Relevant experience in the field of LLMs</li></ul><div></div><ul><li><br>
Bachelor's or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li></ul><div></div><ul><li><br>
Strong programming skills in Python , SQL and AI applications development interfaces like TensorFlow, PyTorch, JAX, AutoGen etc.</li></ul><div></div><ul><li><br>
Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and databases such as Snowflake.</li></ul><div></div><ul><li><br>
Experience integrating AI models with BI tools for enhanced data analysis.</li></ul><div></div><ul><li><br>
Experience in creating AI Agent using LLMs (Large Language Models) and fine-tuning if required.</li></ul><div></div><ul><li><br>
Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul><div></div><ul><li><br>
Excellent communication and collaboration skills.</li></ul><div></div><div><br>
Preferred Qualifications:</div><ul><li>Understanding of AI-driven data visualization and analytics workflows.</li></ul><div></div><ul><li><br>
Experience with neural deep learning and generative models.</li></ul><div></div><ul><li><br>
Contributions to AI research, open-source projects, or published papers in the field.</li></ul><div></div><ul><li><br>
Good to have experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.</li></ul><div></div><ul><li><br>
Work with Databricks/Snowflake and Cortex AI</li></ul><div></div><div><b><br>
Skills:</b></div><div></div><div><br>
6 to 8 years in the Data Science domain</div><div></div><div><br>
highly skilled Generative AI Specialist to join our team. The ideal candidate will have expertise in Generative AI for data analysis and insights generation, as well as implementing Conversational AI solutions on databases like Databricks/ Snowflake and BI applications such as Tableau and Power BI.</div><div>
Leverage advanced Gen AI methodologies, workflows, agents, and graph-based approaches to process and analyze large datasets, delivering actionable insights.</div></div></div>
<br><div><div><b>Job Snapshot</b></div><div><div><div>
Updated Date</div><div>
10-11-2025</div></div><div><div>
Job ID</div><div>
J_4212</div></div><div><div>
Location</div>
Remote-tn, Tamil Nadu, India
</div><div><div>Experience</div><div>
6 - 8 Years</div></div><div><div>
Employee Type</div><div>
Permanent</div></div></div></div>

Assistant Manager - Data Science

Blue Yonder

<div><div>Scope:</div><div>
Generative AI Specialist with an experience of 6-8 years in AI/ML engineering, data processing and LLM Models. In this role, you will design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A solid grounding in AI Engineering and MLOps is essential.</div><div></div><div>
Our current technical environment:</div><ul><li>
Advanced Python and SQL programming.</li><li>
React/TypeScript/Next.js proficiency for building intuitive user interfaces.</li><li>
Demonstrated expertise in integrating AI solutions into large-scale, complex systems with a focus on scalability and operational efficiency.</li><li>
Strong problem-solving, analytical, and communication skills.</li></ul><div></div><div>
What you&rsquo;ll do:</div><ul><li>
Architect and develop sophisticated AI agents leveraging LLMs and other Generative AI technologies to automate and optimize supply chain processes.</li><li>
Fine-tune and adapt LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Demonstrates good understanding of the product and owns one or more modules</li><li>
Write efficient, clean, and production-ready Python code in accordance with best practices and organizational guidelines.</li><li>
Build user-friendly, scalable UIs with React and TypeScript to enhance AI-driven tools.</li><li>
Implement robust testing and automated pipelines to ensure solutions are scalable, maintainable, and reliable.</li><li>
Lead efforts to minimize infrastructure costs and optimize system performance for AI-driven applications.</li></ul><div></div><div>
What we are looking for:</div><ul><li>
BE/B. Tech or ME/M. Tech with 6-8 years of experience in Software Development of large and complex enterprise applications.</li><li>
Professional experience in data science, machine learning, or software development, with a strong focus on AI agent workflows.</li><li>
Experience in building and deploying AI agents using frameworks like LangChain, LlamaIndex, and Hugging Face.</li><li>
Hands-on experience with LLM training, fine-tuning, embeddings, and instruction tuning.</li><li>
Proficiency in cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).</li><li>
Solid background in traditional AI methodologies (e.g., classical machine learning, rule-based systems) to complement emerging agent-based solutions. Demonstrates problem solving and innovation ability.</li><li>
Participates in company technical evaluations and coding challenges.</li></ul><div></div><div>
Our Values</div><div><br>
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: <div>Core Values</div></div><div></div><div>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div></div>

AI Automation Engineer (LLM, GEN AI, Python and ReactJS/NodeJS/JavaScript)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.<br>
<br>
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.<br>
<br>
We&rsquo;re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li><li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li><li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
</li><li>Provide customer and market feedback to product and engineering teams to help define product direction</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 7+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience</li><li>5+ years of building machine learning models or developing algorithms for business application experience</li><li>5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience</li><li>Have peer-reviewed scientific contributions in premier journals and conferences</li><li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization

Solutionzhere

<p><b>We&rsquo;re Hiring: Data Scientist (AI/ML &amp; Generative AI</b></p><p><b>Location:</b> Bangalore (Hybrid &ndash; 3 days/week onsite)<br/><b>Experience:</b> 8+ years | <b>CTC:</b> &#8377;20&ndash;40 LPA<br/><b>Open Positions:</b> 4</p><p><b>About the Role</b></p><p>We&rsquo;re on the lookout for an innovative <b>Data Scientist</b> who&rsquo;s passionate about pushing the boundaries of <b>AI, Machine Learning, and Generative AI</b>.</p><p>In this role, you&rsquo;ll design and deliver <b>next-generation AI solutions</b> &mdash; from large language models (LLMs) to NLP and Computer Vision &mdash; driving automation, personalization, and intelligence at scale.</p><p>You&rsquo;ll work with cross-functional teams to turn complex data into business impact, building scalable ML pipelines and production-grade AI systems that redefine content intelligence.</p><p><b>What You&rsquo;ll Do</b></p><ul><li>Develop and lead <b>AI/ML strategies</b> across <b>Generative AI, NLP, and Computer Vision</b>.</li><li>Build <b>robust data pipelines</b> and ensure high-quality datasets for model training and deployment.</li><li>Architect, train, and optimize <b>LLMs and ML models</b> with MLOps best practices.</li><li>Collaborate with engineers and product teams to deliver <b>AI-powered business solutions</b>.</li><li>Use <b>Python, SQL</b>, and frameworks like <b>PyTorch, TensorFlow, and Spark</b> to drive scalable data science.</li><li>Implement <b>data-driven insights and model performance monitoring</b>.</li><li>Stay ahead with emerging <b>AI research and trends</b>, bringing innovation into real-world production systems.</li></ul><p><b>What You Bring</b></p><ul><li>8+ years of experience in <b>Data Science / AI / Machine Learning</b>.</li><li>Proficiency in <b>Python, SQL, TensorFlow, PyTorch, scikit-learn, Hugging Face</b>.</li><li>Expertise in <b>big data tools</b> &ndash; Spark, Kafka, Airflow.</li><li>Experience with <b>MLOps frameworks</b> (MLflow, Kubeflow, or SageMaker).</li><li>Strong analytical, problem-solving, and storytelling abilities.</li><li><b>Master&rsquo;s degree</b> in Data Science, AI/ML, Computer Science, or related field.</li></ul><p><b>Why You&rsquo;ll Love Working With Us</b></p><ul><li>Shape the future of <b>AI and Generative AI</b> in real-world business applications.</li><li>Collaborate with some of the brightest minds in <b>AI, data engineering, and digital transformation</b>.</li><li>Flexible hybrid work setup with continuous learning opportunities.</li><li>Competitive compensation and growth in a fast-evolving tech landscape.</li></ul><p><b>Interested?</b><br/>Send your profile to <b>info@solutionzhere.com</b></p><p>With the subject: <i>&ldquo;Application &ndash; Data Scientist (AI/ML &amp; Generative AI)&rdquo;</i></p><p>Thanks<br/>Subrata</p><p>Job Type: Full-time</p><p>Pay: &#8377;2,000,000.00 - &#8377;4,000,000.00 per year</p><p>Application Question(s):</p><ul><li>Do you have Master&rsquo;s degree in Data Science, AI/ML, Computer Science, or related field?</li></ul><p>Work Location: In person</p>

Senior Data Scientist

Ozone Motos Pvt Ltd

<p>*Key Responsibilities:*</p><p>- *Model Development*: Design, train, and deploy generative AI models, including GANs, VAEs, and transformers.</p><p>- *Data Preparation*: Collect, preprocess, and manage large datasets for training and testing AI models.</p><p>- *Model Evaluation*: Evaluate and fine-tune AI models to ensure they meet performance and quality standards.</p><p>- *Research and Development*: Stay up-to-date with the latest advancements in generative AI and incorporate new techniques and architectures into models.</p><p>- *Collaboration*: Work with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI models into products and services.</p><p>*Skills and Qualifications:*</p><p>- *Education*: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.</p><p>- *Experience*: 5 years of experience in AI, machine learning, or deep learning, with a focus on generative models.</p><p>- *Technical Skills*: Proficiency in Python, TensorFlow, PyTorch, and other AI frameworks, as well as experience with cloud computing platforms (e.g., AWS, GCP, Azure).</p><p>- *Mathematical Foundations*: Strong understanding of linear algebra, calculus, probability, and statistics.</p><p>*Additional Requirements:*</p><p>- *Communication Skills*: Excellent communication and collaboration skills, with the ability to explain complex AI concepts to non-technical stakeholders.</p><p>- *Problem-Solving*: Strong problem-solving skills, with the ability to analyze and debug AI models.</p><p>- *Creativity*: Ability to think creatively and develop innovative AI solutions.</p><p>- *Domain Knowledge*: Familiarity with specific domains, such as computer vision, NLP, or audio processing [1][2][3].</p><p>Job Type: Part-time</p><p>Pay: &#8377;9,192.47 - &#8377;10,000.00 per day</p><p>Application Question(s):</p><ul><li>Should be interested to tach students. 5 yrs industry experience is must </li></ul><p>Work Location: In person</p>

Gen AI

Jinendra infotech pvt ltd.

<p>e are hiring for Senior Data Scientist (Generative AI)</p><p><b>Position:</b> Senior Data Scientist (Generative AI)<br/><b>Experience:</b> 3.5 &ndash; 7 years</p><p><b>Location:</b> Remote</p><p><b>Notice Period:</b> Immediate to 15 days</p><p><b>Mandatory Skills:Python, PyTorch, TensorFlow, JAX, LangChain, HuggingFace, Kubeflow, MLflow, Azure ML, YOLO, RAG, LlamaIndex, LangGraph, TensorRT, ONNX RUNTIME. </b></p><p><b>(Tech Stack)</b></p><p>TechnologyCategoryExpRating<b>Python</b>Programming Language <b>PyTorch</b>Deep Learning Framework <b>TensorFlow</b>Deep Learning Framework <b>JAX</b>ML/Math Framework <b>LangChain</b>LLM Orchestration <b>HuggingFace</b>ML/LLM Ecosystem <b>Kubeflow</b>MLOps Platform <b>MLflow</b>MLOps Tool <b>Azure ML</b>Cloud ML Platform <b>YOLO</b>Computer Vision Model <b>RAG</b>LLM Technique <b>LlamaIndex</b>LLM Data Framework <b>LangGraph</b>LLM Workflow Engine <b>TensorRT</b>Inference Optimizer <b>ONNX Runtime</b>Inference Engine</p><p><b>JOB DESCRIPTION</b></p><p>As a Senior Data Scientist (Generative AI), you will lead the design, research, and implementation of advanced AI solutions to address complex business challenges. You will work across the full ML lifecycle&mdash;from ideation and experimentation to scalable deployment&mdash;developing and fine-tuning models such as LLMs, diffusion models, and multi-agent systems.</p><p><b>Responsibilities:</b></p><ul><li>Build, fine-tune, and deploy generative AI and LLM-based solutions using frameworks like LangChain, HuggingFace, and PyTorch.</li><li>Develop, test, and optimize RAG pipelines, diffusion models, and AI agents for real-world use cases.</li><li>Collaborate with engineering teams to productionize ML solutions with MLOps tools (MLflow, Kubeflow, W&amp;B).</li><li>Apply deep statistical and ML theory to create efficient, robust, and scalable models.</li><li>Stay current with advancements in AI research, contributing to innovation and model improvement.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, or related field.</li><li>3.5&ndash;7 years of hands-on experience in AI/ML model development and deployment.</li><li>Strong foundation in ML/DL architectures, optimization, and fine-tuning techniques.</li><li>Experience in production-grade LLMs, RAG, and generative AI systems.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;900,000.00 - &#8377;1,200,000.00 per year</p><p>Work Location: Remote</p>

Senior Data Scientist (Generative AI)

Search 10000+ Generative ai specialist jobs near you this November. New roles added regularly across leading industries. Apply today.