machine learning developer

Unissant

<div>
 <p>
  Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.
 </p>
 <p>
  <strong>
   <u>
    Job Description:
   </u>
  </strong>
 </p>
 <p>
  We are seeking an
  <strong>
   Artificial Intelligence/Machine Learning Developer (TS/SCI with Polygraph Required)
  </strong>
  to join our embedded team at the client site in Northern Virginia.
 </p>
 <p>
  The Ideal candidate will drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.
 </p>
 <p>
  Qualified applicants will be subject to security clearance validation/ security clearance cross-over and must meet minimum qualifications for SCI access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.
 </p>
 <p>
  <strong>
   *This position is contingent upon contract award.
  </strong>
 </p>
 <p>
  <strong>
   <u>
    Essential Duties and Responsibilities
   </u>
   :
  </strong>
 </p>
 <p>
  This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management. This is a client-facing position working in a hybrid low-side / high-side environment, subject to the requirements established by the client.
 </p>
 <ul>
  <li>
   Develop, train, and deploy advanced AI/ML and Gen-AI models.
  </li>
  <li>
   Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.
  </li>
  <li>
   Optimize model performance, ensuring accuracy, efficiency, and scalability.
  </li>
  <li>
   Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  </li>
  <li>
   Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
  </li>
  <li>
   Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.
  </li>
  <li>
   Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Work Experience and Job Skills:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.
  </li>
  <li>
   Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
  </li>
  <li>
   Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional).
  </li>
  <li>
   Experience with machine learning and generative AI frameworks.
  </li>
  <li>
   Experience with natural language processing techniques (e.g., text classification, language generation).
  </li>
  <li>
   Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.
  </li>
  <li>
   Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications.
  </li>
  <li>
   Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
  </li>
  <li>
   Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database) and data warehousing concepts.
  </li>
  <li>
   An understanding and competency surrounding data storage, accesses, and loading:
  </li>
  <li>
   Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.
  </li>
  <li>
   ETL/ELT Concepts
  </li>
  <li>
   Data warehouse concepts
  </li>
  <li>
   SQL
  </li>
  <li>
   Competency in data exploration, analytics, and feature engineering (Python Specific):
  </li>
  <li>
   Pandas / NumPy / Polars / PySpark
  </li>
  <li>
   Plotly / Matplotlib (some form of data visualization)
  </li>
  <li>
   Data encoding / normalizing / regularizing / etc
  </li>
  <li>
   Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.
  </li>
  <li>
   Proficiency in ML Modeling - Scikit-Learn, TensorFlow, Keras, Pytorch.
  </li>
  <li>
   Proficiency in NLP Tools SpaCy, ThinC, Gensim.
  </li>
  <li>
   Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.
  </li>
  <li>
   General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.
  </li>
  <li>
   Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
  </li>
  <li>
   Adaptability to adapt to changing priorities and a willingness to learn and grow are essential.
  </li>
  <li>
   Excellent organizational skills, and ability to effectively manage concurrent projects.
  </li>
  <li>
   Comprehensive problem-solving skills with exceptional attention to detail.
  </li>
  <li>
   Ability to learn, evolve, think creatively and proactively.
  </li>
  <li>
   Able to work under pressure (at times) and to be extremely flexible with changing priorities.
  </li>
  <li>
   Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Security Clearance
   </u>
   :
  </strong>
 </p>
 <ul>
  <li>
   Active TS/SCI w/ Polygraph is required.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Education
   </u>
   :
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Information Technology Management or Engineering is required. Alternative work-related experience and/or Military Duty may be substituted.
  </li>
  <li>
   Master's degree or PhD in AI, Machine Learning, Computer Science, or related field strongly preferred. Combination of substantial related experience, training, and education may substitute.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Certificates, Licenses and Registrations:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Any related systems engineering, or related technical certifications are desired
  </li>
  <li>
   AWS/Azure/GCP AI/ML certifications are preferred but not required
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Communication Skills
   </u>
   :
  </strong>
 </p>
 <ul>
  <li>
   Must have excellent written and verbal communication skills
  </li>
  <li>
   Ability to convey technical information to non-technical individuals
  </li>
  <li>
   Demonstrated experience communicating effectively across internal and external organizations
  </li>
  <li>
   Must work well in a matrixed team environment
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Location
   </u>
   :
  </strong>
 </p>
 <ul>
  <li>
   Chantilly, Virginia (Onsite Workplace)
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Travel :
   </u>
  </strong>
 </p>
 <ul>
  <li>
   May require occasional travel (less than 10%)
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Environmental Requirements
   </u>
   :
  </strong>
 </p>
 <ul>
  <li>
   Mainly sedentary; in an office environment
  </li>
  <li>
   May be required to lift up to ten (10) pounds
  </li>
  <li>
   Flexible in working extended hours
  </li>
 </ul>
 <p>
  <em>
   The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.
  </em>
 </p>
 <p>
  <em>
   Please note: Candidate(s) will be required to go through pre-employment screening.
  </em>
 </p>
 <p>
  <em>
   Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)
  </em>
 </p>
</div>


Artificial Intelligence/Machine Learning Developer

Colgate-Palmolive

<div>
 No Relocation Assistance Offered
 <br/>
 <br/>
 Job Number #171679 - New York, New York, United States
 <br/>
 <br/>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
 <br/>
 <br/>
 Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values&mdash;Caring, Inclusive, and Courageous&mdash;we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We are seeking a Machine Learning Engineer who brings the analytical rigor of a data scientist and the engineering discipline of a software architect. In support of Colgate-Palmolive&rsquo;s purpose to Make More Smiles and our commitment to a healthier future for our people, pets, and planet, this role builds the advanced machine learning capabilities that power smarter decisions, accelerate innovation, and create measurable impact across our global enterprise.
 <br/>
 <br/>
 As part of our Global AI/ML team, the Enterprise Center of Excellence for applied AI and ML research, you will design and deploy deeply integrated ML solutions that connect data, models, and business workflows. You will build the statistical, machine learning, and optimization models that enable autonomous workflows and internally developed end user applications, helping shift AI from isolated experimentation to embedded enterprise value.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Productionize ML Research: Transition experimental models into robust, scalable production services. You don't just build the model; you build the pipeline that sustains it.
  </li>
  <li>
   Pipeline Orchestration: Design and maintain complex data and ML pipelines using Airflow and dbt to ensure data integrity and model reliability.
  </li>
  <li>
   Statistical Rigor: Apply advanced statistical modeling and hypothesis testing to validate models, ensuring outcomes are testable and honest.
  </li>
  <li>
   DevOps &amp; MLOps: Utilize modern developer tools to work within and CI/CD frameworks for ML and software lifecycle management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree (or higher) in a high-rigor field: Statistics, Physics, Chemistry, Mathematics, Data Science, or Computer Science with a heavy emphasis on Statistical Learning. Optional: Ph.D in a quantitative field
  </li>
  <li>
   Experience: Bachelors degree: 3+ of years of technical experience; Masters or PhD (1+ years)
  </li>
  <li>
   Proven expertise in Data Science and/or Machine Learning Engineering.
  </li>
  <li>
   Advanced proficiency in Python (Production-grade) and SQL.
  </li>
  <li>
   Hands-on experience with Airflow for orchestration and dbt for transformation.
  </li>
  <li>
   Familiarity with modern IDEs and Agentic Coding systems (e.g., Cursor, Windsurf, Claude Code, Antigravity) to maximize output velocity.
  </li>
  <li>
   Modern Stack: Expert knowledge of Python, Scikit-learn, major ML Libraries
  </li>
  <li>
   Data Engineering: Deep understanding of data lifecycle (ETL/ELT), data architecture, best practices for templatized data transformation
  </li>
  <li>
   Engineering Excellence: Familiar with Docker/Kubernetes, CI/CD, Git, and "Software Engineering for ML" best practices.
  </li>
  <li>
   Statistical Depth: Proficient with a selection of Bayesian methods, causal inference, and/or predictive modeling techniques
  </li>
  <li>
   LLM Literacy: Familiar with concepts underpinning LLMs, and strategies to integrate GenAI into MLE project lifecycle
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Problem-solving: Ability to decompose complex business challenges into actionable AI solutions
  </li>
  <li>
   Communication: Ability to explain technical concepts to non-technical stakeholders
  </li>
  <li>
   Analytical Thinking: Ability to assess business impact of projects and prioritize accordingly
  </li>
  <li>
   Collaboration: Experience working effectively with cross-functional teams and stakeholders
  </li>
  <li>
   Project Management: Ability to manage multiple initiatives simultaneously while meeting deadlines
  </li>
  <li>
   Narrative Thinking: Ability to back data with a compelling business story for stakeholders.
  </li>
  <li>
   Experience in a global, matrixed environment (FMCG/Manufacturing preferred).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Salary Range $105,000.00 - $150,000.00 USD
 <br/>
 <br/>
 Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
 <br/>
 <br/>
 Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
 <br/>
 <br/>
 <strong>
  Our Commitment to Inclusion
  <br/>
  <br/>
 </strong>
 Our journey begins with our people&mdash;developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
 <br/>
 <br/>
 Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
 <br/>
 <br/>
 For additional Colgate terms and conditions, please click here.
 <br/>
 <br/>
</div>


Machine Learning  Engineer

Cloud Bridge Solutions Inc

<div>
 <p>
  <strong>
   Overview
  </strong>
 </p>
 <p>
  We are seeking a talented Machine Learning Engineer to design, build, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate has strong programming skills, hands-on experience with ML frameworks, and a passion for solving real-world problems using data.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy machine learning models for production use
  </li>
  <li>
   Build and maintain scalable data pipelines and feature engineering workflows
  </li>
  <li>
   Train, evaluate, and optimize models using large datasets
  </li>
  <li>
   Collaborate with cross-functional teams to integrate ML solutions into applications
  </li>
  <li>
   Monitor model performance and implement improvements over time
  </li>
  <li>
   Ensure code quality, testing, and documentation for ML systems
  </li>
 </ul>
 <p>
  <strong>
   Required Skills &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
  </li>
  <li>
   5-10 years of experience in machine learning or data science
  </li>
  <li>
   Strong programming skills in
   <strong>
    Python
   </strong>
  </li>
  <li>
   Experience with ML frameworks such as
   <strong>
    TensorFlow
   </strong>
   ,
   <strong>
    PyTorch
   </strong>
   , or
   <strong>
    Scikit-learn
   </strong>
  </li>
  <li>
   Solid understanding of algorithms, statistics, and data structures
  </li>
  <li>
   Experience with APIs, microservices, or cloud platforms (AWS/Azure/GCP)
  </li>
 </ul>
 <p>
 </p>
</div>


Machine Learning Engineer

Spotify

<div>
 The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We&rsquo;re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it&rsquo;s a DIY artist or an industry-facing partner.
 <br/>
 <br/>
 As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You&rsquo;ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You&rsquo;ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify&rsquo;s promotional performance with hands-on ML development
  </li>
  <li>
   Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
  </li>
  <li>
   Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
  </li>
  <li>
   Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
  </li>
  <li>
   Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.
   <br/>
   <br/>
  </li>
 </ul>
 Who You Are
 <br/>
 <br/>
 <ul>
  <li>
   You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc.
  </li>
  <li>
   You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures.
  </li>
  <li>
   You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models.
  </li>
  <li>
   You have experience in optimizing machine learning models for production use cases
  </li>
  <li>
   You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
  </li>
  <li>
   You have some exposure to causal ML models, including things like counterfactuals.
  </li>
  <li>
   You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance.
   <br/>
   <br/>
  </li>
 </ul>
 Where You'll Be
 <br/>
 <br/>
 We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
 <br/>
 <br/>
 The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
 <br/>
 <br/>
 Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.
 <br/>
 <br/>
 At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.
 <br/>
 <br/>
 Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.
</div>


Poshmark

<div><div><div><p>Location</p><div>
Redwood City, California, USA</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Department</p><div><div>
All Departments</div><div>
Research &amp; Development</div><div>
Technology</div><p>
ML &amp; Data Engineering Team</p></div></div><div><p>
Compensation</p><ul><div><p>
$130,628 &ndash; $186,111</p></div></ul><div><div>
The base pay range listed for this position may span multiple levels of experience, and final compensation is determined by a variety of job-related factors, including relevant experience, demonstrated expertise, and internal equity.</div><div></div><div>
The posted range applies to base salary only and does not include additional elements of total compensation, which may include equity, performance-based incentives, and a comprehensive benefits package.</div></div></div></div><p></p><div><div><div><div>
About Poshmark</div><p><b><br>
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.</b> Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.</p><p></p><p><br>
Our AI / Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).</p><p></p><p>
The Machine Learning Engineering team at Poshmark is looking for an experienced machine learning engineer to take care of Poshmark&rsquo;s requirement to take machine learning models with varying requirements to production ..</p><p></p><p><b>
Responsibilities:</b></p><ul><li><div>
Build tools and infrastructure to democratize ML</div></li><li><div>
Productionizing ML models in collaboration with the Data Science and other Engineering teams.</div></li><li><div>
Maintain and support existing platforms and evolve to newer technology stacks and architectures.</div></li></ul><p></p><p><b>
Desired Skills &amp; Experience:</b></p><ul><li><div>
2-3 years of relevant software engineering experience with data intensive applications</div></li><li><div>
Good understanding of data science concepts and machine learning lifecycle</div></li><li><div>
Good understanding of spark and sql and prior experience with writing backend apis</div></li><li><div>
Flexible and open to trying out newer technologies and adopting them as and when needed.</div></li></ul><p></p><p><b>
Technologies we use:</b></p><ul><li><div>
Flask, Docker, Kubernetes</div></li><li><div>
Redis, Redshift, MongoDB, Kafka, RabbitMQ, Kinesis</div></li><li><div>
sklearn, pyTorch, Tensorflow, Spark</div></li><li><div>
Mlflow, Sagemaker, Kibana, Airflow</div></li></ul></div></div></div></div><p></p>

Software Engineer II, Machine Learning

<div><div><div><p>Location</p><div>
Redwood City, California, USA</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Department</p><div><div>
All Departments</div><div>
Research &amp; Development</div><div>
Technology</div><p>
ML &amp; Data Engineering Team</p></div></div><div><p>
Compensation</p><ul><div><p>
$151,194 &ndash; $214,587</p></div></ul><div><div>
The base pay range listed for this position may span multiple levels of experience, and final compensation is determined by a variety of job-related factors, including relevant experience, demonstrated expertise, and internal equity.</div><div></div><div>
The posted range applies to base salary only and does not include additional elements of total compensation, which may include equity, performance-based incentives, and a comprehensive benefits package.</div></div></div></div><p></p><div><div><div><div>
About Poshmark</div><p><b><br>
Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection.</b> Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury.</p><p></p><p><br>
The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few).</p><p></p><p><b>
Responsibilities:</b></p><ul><li><div>
Manage the entire ML lifecycle from data collection to deployment and monitoring</div></li><li><div>
Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models</div></li><li><div>
Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale</div></li><li><div>
Manage and support current solutions while evolving them to incorporate newer technologies</div></li><li><div>
Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner</div></li><li><div>
Stay updated with the latest developments in data science and machine learning</div></li></ul><p></p><p><b>
Desired Skills &amp; Experience:</b></p><ul><li><div>
4+ years of experience applying Machine Learning to concrete problems at large scale</div></li><li><div>
Bachelors or Masters in Computer Science, Statistics, or related field</div></li><li><div>
Strong CS fundamentals. Should be able to write algorithms with ease.</div></li><li><div>
Solid understanding of Data Science and ML fundamentals &ndash; Regression, Classification, Tree-based approach, Neural network, and sequence-based models.</div></li><li><div>
Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.</div></li><li><div>
Should have excellent understanding of ML lifecycle</div></li><li><div>
Good understanding of system architecture. Have knowledge of big data technologies &ndash; streaming architecture, data pipelines, etc.</div></li><li><div>
Experience with Python, SQL, Java or Scala</div></li></ul><p></p><p><b>
Good to Have:</b></p><ul><li><div>
Big data systems &ndash; Spark, EMR, S3, AirFlow</div></li><li><div>
Production experience with LLMs and prompt engineering</div></li><li><div>
Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs</div></li></ul><p></p><p><b>
Our Techstack:</b></p><ul><li><div>
Pytorch, Tensorflow, Sklearn</div></li><li><div>
Flask, Fastapi, Gunicorn, Quarkus</div></li><li><div>
MLFlow, Sagemaker, Kibana, Airflow, Databricks, Grafana, Datadog</div></li><li><div>
Docker, Kubernetes, Jenkins</div></li><li><div>
Redis, Redshift, MongoDB, Spark, Kafka, RabbitMQ, Milvus</div></li></ul></div></div></div></div><p></p>

Sr. Engineer, Machine Learning

Vortexian Tech (SMC-Pvt) Ltd

<p><b>Urgent Hiring &ndash; Junior Full Stack AI Python Developer</b></p><p><b>Location:</b> DHA Phase 8, Lahore, Pakistan<br/><b>Job Type:</b> Full-Time (Onsite)<br/><b>Timings:</b> 6:00 PM &ndash; 3:00 AM</p><p><b>Job Overview</b></p><p>We are urgently looking for a motivated <b>Junior Full Stack AI Python Developer</b> with basic hands-on experience in Python and AI/ML technologies. The ideal candidate should be eager to learn, passionate about development, and ready to grow in a fast-paced environment.</p><p>This is a great opportunity for early-career developers to work on modern AI solutions and full-stack applications.</p><p><b>Key Responsibilities</b></p><ul><li>Assist in developing and deploying AI/ML models using Python</li><li>Support backend development and APIs (Django / Flask / FastAPI)</li><li>Help integrate AI features into web and mobile applications</li><li>Work with tools like TensorFlow, PyTorch, Scikit-learn, and Hugging Face</li><li>Collaborate with senior developers and team members</li><li>Participate in code reviews and learning sessions</li></ul><p><b>Requirements</b></p><ul><li>At least <b>1 year of experience</b> in Python development</li><li>Basic understanding of AI/ML concepts (NLP, ML models, etc.)</li><li>Familiarity with Django / Flask / FastAPI</li><li>Understanding of APIs and integrations</li><li>Good English communication skills</li><li>Ability to work onsite in DHA Phase 8, Lahore</li><li>Strong willingness to learn and grow</li><li><b>A completed degree is required</b></li></ul><p><b>Nice to Have</b></p><ul><li>Exposure to LLMs (OpenAI APIs, LangChain, etc.)</li><li>Basic knowledge of Docker or cloud platforms</li><li>Familiarity with React, Laravel, or Flutter</li></ul><p><b>Fresh to 1 year experienced candidates with strong learning mindset are encouraged to apply.</b></p><p>Job Type: Full-time</p><p>Pay: Rs35,000.00 - Rs45,000.00 per month</p><p>Work Location: In person</p>

Urgent Hiring – Junior Full Stack AI Python Developer

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Urgent Hiring – Junior Full Stack AI Python Developer