ml model developer

Cloud Rexpo Pvt. Ltd.

<p><b>Location: Phase 7 Bajroa Town, Rawalpindi</b><br/><b>Shift: Day</b></p><p>Design, develop, and deploy AI/ML models and solutions to solve real-world problems. Collaborate with cross-functional teams to implement scalable, data-driven systems that improve business outcomes.</p><p><b>Key Responsibilities:</b></p><ul><li>Build, train, and optimize machine learning models for classification, prediction, and automation tasks.</li><li>Preprocess, clean, and analyze large datasets.</li><li>Integrate AI/ML solutions into production systems.</li><li>Monitor and improve model performance and accuracy.</li><li>Document workflows and present results to stakeholders.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>2&ndash;5 years&rsquo; experience in AI/ML model development and deployment.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Strong understanding of data preprocessing, feature engineering, and model evaluation.</li><li>Excellent problem-solving and communication skills.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs150,000.00 per month</p><p>Education:</p><ul><li>Master's (Required)</li></ul><p>Experience:</p><ul><li>AI/ML Model Development and Deployment: 3 years (Required)</li><li>Python and ML frameworks (TensorFlow, PyTorch, scikit-learn): 1 year (Required)</li></ul><p>Work Location: In person</p>

AI / ML Engineer (Mark-Level)

Devsinc

<div>
 Application &amp; Model Development:
 <br/>
 <br/>
 Design, develop, and deploy Python-based applications and AI/ML models.
 <br/>
 <br/>
 Data Handling:
 <br/>
 <br/>
 Collect, clean, and preprocess structured and unstructured data for model training.
 <br/>
 <br/>
 Model Training &amp; Evaluation:
 <br/>
 <br/>
 Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
 <br/>
 <br/>
 API Integration:
 <br/>
 <br/>
 Create and integrate APIs for serving ML models into applications or web services.
 <br/>
 <br/>
 Research &amp; Innovation:
 <br/>
 <br/>
 Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency.
 <br/>
 <br/>
 Automation &amp; Scripting:
 <br/>
 <br/>
 Develop automation scripts and data pipelines to support AI workflows.
 <br/>
 <br/>
 Collaboration:
 <br/>
 <br/>
 Work with data engineers, developers, and product teams for end-to-end solution delivery.
 <br/>
 <br/>
 Version Control &amp; Documentation:
 <br/>
 <br/>
 Maintain clean code, version control (Git), and project documentation.
 <br/>
 <br/>
 Testing &amp; Deployment:
 <br/>
 <br/>
 Test models, deploy to production, and monitor performance using cloud or on-prem setups.
 <br/>
 <br/>
 Continuous Learning:
 <br/>
 <br/>
 Explore emerging AI/ML technologies and contribute to innovation projects.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
 <br/>
 <br/>
 Develop Python-based AI/ML apps &amp; models
 <br/>
 <br/>
 Preprocess &amp; analyze data
 <br/>
 <br/>
 Train, test, and evaluate models
 <br/>
 <br/>
 Build &amp; integrate APIs for ML services
 <br/>
 <br/>
 Use TensorFlow, PyTorch, Scikit-learn
 <br/>
 <br/>
 Create automation scripts &amp; data pipelines
 <br/>
 <br/>
 Collaborate across teams for deployment
 <br/>
 <br/>
 Maintain code, versioning, and documentation
 <br/>
 <br/>
 Deploy &amp; monitor ML solutions
 <br/>
 <br/>
 Keep learning new AI/ML tools &amp; methods
</div>


Associate Software Engineer -Python/AI/ML

Accumn

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Company</p>
<div><b>Accumn</b><b>
</b></div></div><div><p>Date Opened</p>
<div><b>12/22/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>1-3 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Financial Services</b><b>
</b></div></div><div><p>City</p>
<div><b>Chennai City Corporation</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Tamil Nadu</b><b>
</b></div></div><div><p>Country</p>
<div><b>India</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>600035</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility.</div><div></div><div><br>
From being a disruptor in India&rsquo;s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products</div><div></div><div><br>
Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles.</div><br>
<div></div>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3><br>
<p></p><div><br>
<div><b>About Yubi:</b></div><div></div><div><br>
Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.<br>
</div><div>
In March 2022, we became India&rsquo;s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.<br>
</div><div>
In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market. through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance.</div><div></div><div><br>
Currently, we have boarded over 4000+ corporates, 350+ investors and have facilitated debt volumes of over INR 40,000 crore.<br>
</div><div>
Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and<br>
</div><div>
Lightrock, we are the only-of-its-kind debt platform globally, revolutionising the segment.<br>
</div><div>
At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 650+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story.</div><div></div><p><b><br>
Key Responsibilities:</b></p><ul><li><p><br>
Be a part of a dynamic Data Science team in developing scalable, reusable tools and capabilities to advance machine learning models, specializing in computer vision, natural language processing, API development and Product building.</p></li><li><p><br>
Drive innovative solutions for complex CV-NLP challenges, including tasks like image classification, data extraction, text classification, and summarization, leveraging a diverse set of data inputs such as images, documents, and text.</p></li><li><p><br>
Collaborate with cross-functional teams, including DevOps and Data Engineering, to design and implement efficient ML pipelines that facilitate seamless model integration and deployment in production environments.</p></li><li><p><br>
Spearhead the optimization of the model development lifecycle, focusing on scalability for training and production scoring to manage significant data volumes and user traffic. Implement cutting-edge technologies and techniques to enhance model training throughput and response times.</p></li></ul><p><b><br>
Required Experience &amp; Expertise:</b></p><ul><li><p><br>
3+ years of experience in developing computer vision &amp; NLP models and applications.</p></li><li><p><br>
Extensive knowledge and experience in Data Science and Machine Learning techniques, with a proven track record in leading and executing complex projects.</p></li><li><p><br>
Deep understanding of the entire ML model development lifecycle, including design, development, training, testing/evaluation, and deployment, with the ability to guide best practices.</p></li><li><p><br>
Expertise in writing high-quality, reusable code for various stages of model development, including training, testing, and deployment.</p></li><li><p><br>
Advanced proficiency in Python programming, with extensive experience in ML frameworks such as Scikit-learn, TensorFlow, and Keras and API development frameworks such as Django, Fast API.</p></li><li><p><br>
Demonstrated success in overcoming OCR challenges using advanced methodologies and libraries like Tesseract, Keras-OCR, EasyOCR, etc.</p></li><li><p><br>
Proven experience in architecting reusable APIs to integrate OCR capabilities across diverse applications and use cases.</p></li><li><p><br>
Proficiency with public cloud OCR services like AWS Textract, GCP Vision, and Document AI.</p></li><li><p><br>
History of integrating OCR solutions into production systems for efficient text extraction from various media, including images and PDFs.</p></li><li><p><br>
Comprehensive understanding of convolutional neural networks (CNNs) and hands-on experience with deep learning models, such as YOLO, DETR.</p></li><li><p><br>
Strong capability to prototype, evaluate, and implement state-of-the-art ML advancements, particularly in OCR and CV-NLP.</p></li><li><p><br>
Extensive experience in NLP tasks, such as Named Entity Recognition (NER), text classification, and on fine tuning of Large Language Models (LLMs).</p></li></ul><p><br>
This senior role is tailored for visionary professionals eager to push the boundaries of CV-NLP and drive impactful data-driven innovations using both well-established methods and the latest technological advancements.</p></div></div></div><p></p>

Data Scientist -2 (CV & NLP)

Coptic Orphans

<div><p><b>AI Engineer</b></p><p><b><br>
Purpose of the Job
</b></p><p>This role is pivotal in our commitment to leveraging cutting-edge artificial intelligence to advance our mission. This person will be a hands-on professional with a passion for experimenting with emerging AI assistants, large language models (LLMs), and other AI technologies. This role will be responsible for identifying, testing, and integrating these tools into our existing technological infrastructure to enhance our programs, fundraising, streamline operations, and drive data-informed decision-making.</p><p><b><br>
Essential Functions and Responsibilities
</b></p><ul><li>Analyze business processes using the workflow process management function and partner with Data Analysts to evaluate data flows, then proactively identify opportunities to integrate AI solutions that optimize efficiency, automate tasks, and support informed decision-making.</li><li>
Research, experiment with, and evaluate emerging AI assistants, generative AI tools, and large language models (LLMs) to determine high-value use cases aligned with organizational goals.</li><li>
Design and develop AI prototypes and proof-of-concept integrations to demonstrate how AI tools can be effectively integrated into internal systems to enhance efficiency, automation, and operational workflows.
</li><li>Partner with cross-functional teams to identify practical challenges and opportunities where AI can be applied to simplify work, save time, or improve outcomes.
</li><li>Build, fine-tune, and deploy ML models tailored to nonprofit-specific use cases such as donor insights, operational automation, and content generation.</li><li>
Use advanced Python skills and ML tools to develop and fine-tune AI models for practical applications.
</li><li>Implement AI solutions in compliance with ethical standards, including bias mitigation, data privacy, and fairness, and contribute to shaping the organization's AI governance framework.
</li><li>Train non-technical staff on basic AI concepts, opportunities, and risks.</li>
Design and implement AI architecture, model integration strategies, and data pipelines to enable seamless deployment into existing systems.<br>
<li>
</li></ul><br>
<p><b>Required Education, Experience, Knowledge and Skills
</b></p><ul><li>Bachelor's in Artificial Intelligence, Computer Science, Data Science, or a relevant field.</li><li>
1 to 3 of hands-on experience in machine learning, AI engineering, or related fields.</li><li>
Hands-on experience working within project teams, supporting the implementation of AI solutions in coordination with technical and non-technical stakeholders.</li><li>
Proficiency in written and spoken English.</li><li>
Proficiency in Python and core ML frameworks.</li><li>
Practical experience with AI/LLM deployment, including Chabot's, assistants, or generative AI.</li><li>
Good understanding of data ethics, bias, and responsible AI principles.</li><li>
Excellent communication, facilitation, and documentation skills.</li><li>
Experience with Customer Relationship Management (CRM) systems and their integration with data and AI workflows.</li><li>
Ability to gather, analyze and present information and numerical data effectively, and a demonstrated, high level of accuracy and thoroughness in all duties.</li></ul><p><b><br>
Travel and Working Requirements</b></p><ul><li>
Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</li><li>Occasional travel, nationally or internationally, is expected.
</li><li>Working out of the official hours and on weekends may be required.</li></ul></div>

AI Engineer

ALSTOM

<div><p>At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.</p><p><b>
Your future role</b></p>
<p>
Take on a new challenge and apply your data science expertise in a cutting-edge field. You&rsquo;ll work alongside innovative and collaborative teammates.</p>
<p>
You'll play a key role in shaping Alstom&rsquo;s next-generation data-driven solutions for the mobility industry. Day-to-day, you&rsquo;ll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains.</p>
<p>
You&rsquo;ll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience.</p>
<p>
We&rsquo;ll look to you for:</p>
<ul>
<li><p>Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts</p>
</li>
<li><p>Implementing feature selection/extraction methods to improve ML models and derive interpretable insights</p>
</li>
<li><p>Building and optimizing machine learning models, including supervised and unsupervised approaches</p>
</li>
<li><p>Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics</p>
</li>
<li><p>Collaborating with domain experts to define and meet business requirements</p>
</li>
<li><p>Creating reports and explanatory materials to communicate insights effectively</p>
</li>
<li><p>Evaluating opportunities from emerging mathematical approaches and data science technologies</p>
</li>
<li><p>Applying strong testing and quality assurance practices</p></li><br>
</ul>
<p><br>
<b>All about you</b></p>
<p>
We value passion and attitude over experience. That&rsquo;s why we don&rsquo;t expect you to have every single skill. Instead, we&rsquo;ve listed some that we think will help you succeed and grow in this role:</p>
<ul>
<li><p>Masters Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines</p>
</li>
<li><p>7+ years of experience in Data Science/Machine Learning.</p>
</li>
<li><p>Excellent knowledge of Python programming</p>
</li>
<li><p>Understanding of modern statistics, including time-series and signal processing, text mining, or image processing</p>
</li>
<li><p>Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow)</p>
</li>
<li><p>Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning)</p>
</li>
<li><p>Experience in building and optimizing supervised and unsupervised ML models</p>
</li>
<li><p>Experience with database management (SQL, ElasticSearch, etc.)</p>
</li>
<li><p>Proficiency in a LINUX environment (shell scripting)</p>
</li>
<li><p>[Optional: Experience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining]</p>
</li>
<li><p>[Optional: Familiarity with Git and release management]</p></li><br>
</ul>
<p><br>
<b>Things you&rsquo;ll enjoy</b> Join us on a life-long transformative journey &ndash; the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You&rsquo;ll also:</p>
<ul>
<li><p>Enjoy stability, challenges and a long-term career free from boring daily routines</p>
</li>
<li><p>Work with cutting-edge technologies to revolutionize digital mobility</p>
</li>
<li><p>Collaborate with cross-functional teams and supportive colleagues</p>
</li>
<li><p>Contribute to innovative projects in the mobility domain</p>
</li>
<li><p>Utilise our flexible and inclusive working environment</p>
</li>
<li><p>Steer your career in whatever direction you choose across functions and countries</p>
</li>
<li><p>Benefit from our investment in your development, through award-winning learning programs</p>
</li>
<li><p>Progress towards leadership or technical expert roles</p>
</li>
<li><p>Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)</p></li></ul><br>
<p></p>
<p>
You don&rsquo;t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you&rsquo;ll be proud. If you&rsquo;re up for the challenge, we&rsquo;d love to hear from you!</p><p><br>
<b>
Important to note</b></p>
<p>
As a global business, we&rsquo;re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We&rsquo;re committed to creating an inclusive workplace for everyone.</p><br>
<p><br>
<b>Job Segment: </b>Computer Science, Testing, Quality Assurance, SQL, Linux, Technology</p></div>

Data Scientist

Dataiku

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 <br/>
 <br/>
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 <br/>
 <br/>
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 <br/>
 <br/>
 <strong>
  In This Role, You'll Help The Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Co-develop production-level data science projects with our customers
  </li>
  <li>
   Analyse and investigate various kinds of data and machine learning applications across industries and use cases
  </li>
  <li>
   Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
  </li>
  <li>
   Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
  </li>
  <li>
   Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You might be a good fit for the role if you have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   English - fluent, Arabics - fluent/native will be a big plus
  </li>
  <li>
   Curiosity and a desire to learn new topics and skills
  </li>
  <li>
   Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
  </li>
  <li>
   The ability to clearly explain complex topics to technical as well as non-technical audiences
  </li>
  <li>
   2 - 10 years of experience with Python and SQL
  </li>
  <li>
   2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
  </li>
  <li>
   Familiarity with data visualisation in Python and R
  </li>
  <li>
   Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills That May Help You In The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Consulting and/or Customer-facing Data Science roles
  </li>
  <li>
   Experience with Data Engineering or MLOps
  </li>
  <li>
   Experience developing WebApps in JavaScript, RShiny, or Dash
  </li>
  <li>
   Experience building APIs
  </li>
  <li>
   Experience using enterprise data science tools
  </li>
  <li>
   Passion for teaching or public speaking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What are you waiting for!
  <br/>
  <br/>
 </strong>
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 <br/>
 <br/>
 <em>
  Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 </em>
 reasonable-accommodations@dataiku.com
 <br/>
 <br/>
 <strong>
  Protect yourself from fraudulent recruitment activity
  <br/>
  <br/>
 </strong>
 <em>
  Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
  <br/>
  <br/>
 </em>
</div>


Senior Data Scientist

Cognizant Technology Solutions

<div><div>Role &ndash;Python Developer<br>
Location: AIA-Pune<br>
Exp: 6 to 9 years</div><p><b>
Job Summary</b></p><p>
We are seeking a skilled Developer with 6 to 8 years of experience to join our team. The ideal candidate will have expertise in Generative AI Azure Databricks Azure Data Factory and Azure ML Studio. This role involves working in a hybrid model focusing on AI and ML concepts and contributing to innovative projects that drive our companys success. The position does not require travel and operates during the day shift.</p><p><br>
</p><p><b>Responsibilities</b></p><ul><li>
Develop and implement advanced AI and ML models using Generative AI and Azure ML Studio to enhance business processes and decision-making.</li><li>
Collaborate with cross-functional teams to design and deploy scalable solutions on Azure Databricks and Azure Data Factory.</li><li>
Utilize ML Ops to streamline machine learning workflows ensuring efficient model deployment and monitoring.</li><li>
Leverage Docker for containerization to ensure consistent and reliable application deployment across environments.</li><li>
Apply AI and ML concepts to solve complex business challenges and improve operational efficiency.</li><li>
Integrate Terraform for infrastructure as code to automate and manage cloud resources effectively.</li><li>
Utilize GIT for version control to maintain code integrity and facilitate collaborative development.</li><li>
Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.</li><li>
Provide technical expertise and guidance to junior developers fostering a culture of continuous learning and improvement.</li><li>
Stay updated with the latest advancements in AI and ML technologies to drive innovation within the team.</li><li>
Document processes and methodologies to ensure knowledge sharing and maintain project transparency.</li><li>
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.</li><li>
Contribute to the companys mission by developing AI-driven solutions that have a positive impact on society.</li></ul><p><br>
</p><p><b>Qualifications</b></p><ul><li>
Possess strong experience in Generative AI Azure Databricks and Azure Data Factory.</li><li>
Demonstrate proficiency in Azure ML Studio and ML Ops for efficient model management.</li><li>
Have a solid understanding of AI and ML concepts with practical experience in machine learning and artificial intelligence.</li><li>
Experience with Docker for application containerization and deployment.</li><li>
Familiarity with Terraform for managing cloud infrastructure.</li><li>
Proficient in using GIT for version control and collaborative development.</li><li>
Strong problem-solving skills and the ability to work effectively in a hybrid work model.</li></ul></div>

Python Developer

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