machine learning developer

Westcrew Networks LLC

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 About Us:
 
 
 
 &nbsp;We are an innovative Westcrew Networks focused on delivering cutting-edge AI solutions. As we expand our team, we are looking for a talented Machine Learning Developer to join us. This is an exciting opportunity to work with advanced ML models and real-time systems in a dynamic and collaborative environment.
 
 
 
 
 
 
 Job Description:
 
 
 
 &nbsp;As an ML Developer, you will be responsible for designing, developing, and deploying machine learning models. You will work on NLP, LLM Models, and real-time systems. Your role will also involve creating efficient and scalable ML pipelines and optimizing models.
 
 
 
 
 
 
 Key Responsibilities:
 
 
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 Apply machine learning fundamentals to solve real-world problems
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 Work on NLP
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 Preprocess data and perform feature engineering
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 Build real-time inference pipelines
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 Implement and deploy models using FastAPI or Flask
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 Optimize models for speed, performance, and scalability
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 Collaborate with cross-functional teams to deliver end-to-end solutions
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 Use Git and version control to maintain and manage codebases
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 Leverage Docker and Linux systems for model deployment and orchestration
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 Integrate APIs from platforms like OpenAI, HuggingFace, etc.
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 Ensure models perform efficiently in production environments
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 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
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 Strong proficiency in Python programming
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 Solid understanding of machine learning fundamentals
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 Hands-on experience with PyTorch or TensorFlow
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 Ability to train and fine-tune models
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 Experience with FastAPI framework
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 Knowledge of Sockets or streaming systems
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 Experience with Docker and Linux environments
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 Understanding of GPU usage and CUDA basics
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 Experience integrating APIs (OpenAI, HuggingFace, etc.)
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 Ability to optimize models for speed and performance
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 Strong debugging and problem-solving skills
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 Experience with Git and version control systems
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 </ul>
 
 
 
 
 
 Experience Requirements:
 
 
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 2&ndash;4 years of industry experience (Mid-Level ML Engineer)
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 Experience with audio, NLP, or real-time systems is a strong advantage
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 </ul>
 
 
 
 
 
 Why Join Us?
 
 
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 Work with a collaborative and passionate team
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 Exciting projects and cutting-edge technology
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 Opportunities for career growth and skill development
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 Competitive salary and benefits
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 </ul>
</div>

Machine Learning Developer

Guires Solutions Private Limited

We are seeking a skilled AI / Machine Learning (ML) Developer to design, develop, and deploy intelligent systems that leverage data-driven insights. The ideal candidate will have hands-on experience with machine learning frameworks, data preprocessing, model training, and integration of AI models into production environments.Responsibilities<ul><li>Analyze project requirements and define suitable AI/ML solutions.</li><li>Collect, clean, and preprocess data for modeling and analysis.</li><li>Build, train, and optimize machine learning and deep learning models.</li><li>Develop algorithms for predictive modeling, natural language processing (NLP), computer vision, or recommendation systems.</li><li>Evaluate model performance using appropriate metrics and techniques.</li><li>Deploy ML models via APIs, cloud platforms, or edge devices.</li><li>Collaborate with data engineers, software developers, and stakeholders to integrate solutions.</li><li>Document processes, model architectures, and performance results.</li><li>Stay up-to-date with the latest AI/ML tools, frameworks, and best practices.</li></ul>Required Skills<ul><li>Strong programming skills in Python, R*, or Java*.</li><li>Experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or Keras.</li><li>Solid understanding of data structures, algorithms, and statistics.</li><li>Knowledge of data visualization and exploratory data analysis tools (e.g., Pandas, Matplotlib, Seaborn, Power BI).</li><li>Experience deploying models using AWS, Azure, Google Cloud, or Docker.</li><li>Familiarity with version control (Git) and Agile workflows.</li></ul>Contact : 95661 33822Job Types: Part-time, Freelance, Volunteer Contract length: 1 monthPay: From &#8377;10,000.00 per monthWork Location: Remote

Freelance AI / Machine Learning (ML) Developer & Research writer

One Machine Software

We are seeking a highly skilled AI/ML and Python Engineer with expertise in Python, along with experience in deep learning, computer vision, and data analysis. The ideal candidate should be proficient in frameworks like PyTorch, Keras, OpenCV, and Django, with strong problem-solving abilities and a passion for AI-driven innovation.Key Responsibilities:<ul><li>Develop and optimize machine learning models using PyTorch and Keras</li><li>Work on computer vision and image processing projects with OpenCV</li><li>Design and implement data pipelines and preprocessing techniques</li><li>Perform exploratory data analysis (EDA) and statistical modeling</li><li>Build and deploy AI-powered applications using Django and React JS</li><li>Collaborate with teams to develop AI-driven solutions for real-world problems</li><li>Utilize Pandas, and NumPy for data manipulation and insights</li><li>Deploy models efficiently using Git, GitHub, and cloud services</li></ul>Job Type: Full-timeJob Type: Full-timeWork Location: In person

AI/Machine Learning/Python Developer

AI / Machine Learning/Python Developer

Princeton IT America

Job Tittle: AI ML EngineerBusiness Group: EEECPrimary Work Location: PuneJob Summary:We are looking for a versatile and results-driven Data Scientist / Machine Learning Developer with 7+ years of experience to join our dynamic team. The ideal candidate will have a strong background in both data science and machine learning, capable of handling end-to-end processes from data analysis and feature engineering to model deployment and monitoring. This role demands a proactive and collaborative mindset, working closely with product owners and engineering teams to deliver scalable, production-ready ML solutions. You will take ownership of the entire model lifecycle driving experimentation, validation, deployment, and continuous optimization to create high-impact, AI-powered business value.In this Role, Your Responsibilities Will Be:&middot; Develop, train and deploy machine learning, deep learning AI models for a variety of business use cases such as classification, prediction, recommendation, NLP and Image Processing.&middot; Design and implement end-to-end ML workflows from data ingestion and preprocessing to model deployment and monitoring.&middot; Collect, clean, and preprocess structured and unstructured data from multiple sources using industry-standard techniques such as normalization, feature engineering, dimensionality reduction, and optimization.&middot; Perform exploratory data analysis (EDA) to identify patterns, correlations, and actionable insights.&middot; Apply advanced knowledge of machine learning algorithms including regression, classification, clustering, decision trees, ensemble methods, and neural networks.&middot; Use Azure ML Studio, TensorFlow, PyTorch, and other ML frameworks to implement and optimize model architectures.&middot; Perform hyperparameter tuning, cross-validation, and performance evaluation using industry-standard metrics to ensure model robustness and accuracy.&middot; Integrate models and services into business applications through RESTful APIs developed using FastAPI, Flask or Django.&middot; Build and maintain scalable and reusable ML components and pipelines using Azure ML Studio, Kubeflow, and MLflow.&middot; Enforce and integrate AI guardrails: bias mitigation, security practices, explainability, compliance with ethical and regulatory standards.&middot; Deploy models in production using Docker and Kubernetes, ensuring scalability, high availability, and fault tolerance.&middot; Utilize Azure AI services and infrastructure for development, training, inferencing, and model lifecycle management.&middot; Support and collaborate on the integration of large language models (LLMs), embeddings, vector databases, and RAG techniques where applicable.&middot; Monitor deployed models for drift, performance degradation, and data quality issues, and implement retraining workflows as needed.&middot; Collaborate with cross-functional teams including software engineers, product managers, business analysts, and architects to define and deliver AI-driven solutions.&middot; Communicate complex ML concepts, model outputs, and technical findings clearly to both technical and non-technical stakeholders.&middot; Stay current with the latest research, trends, and advancements in AI/ML and evaluate new tools and frameworks for potential adoption.&middot; Maintain comprehensive documentation of data pipelines, model architectures, training configurations, deployment steps, and experiment results.&middot; Drive innovation through experimentation, rapid prototyping, and the development of future-ready AI components and best practices.&middot; Write modular, maintainable, and production-ready code in Python with proper documentation and version control.&middot; Contribute to building reusable components and ML accelerators.Qualifications:&middot; Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field over 7+ years.&middot; Proven experience as a Data Scientist, ML Developer, or in a similar role.&middot; Strong command of Python and ML libraries (e.g., Azure ML Studio, scikit-learn, TensorFlow, PyTorch, XGBoost).&middot; Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer).&middot; ML Model Development: Strong grasp of statistical modelling, supervised/unsupervised learning, time-series forecasting, and NLP.&middot; Proficiency in Python&middot; Strong knowledge of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and statistical analysis techniques.&middot; Proficiency in programming languages such as Python, R, or SQL.&middot; Experience with data preprocessing, feature engineering, and model evaluation techniques.&middot; MLOps &amp; Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control.&middot; Familiarity with cloud platforms (e.g., Azure (Primarily), AWS and deployment tools.&middot; Knowledge of DevOps platform.&middot; Excellent problem-solving skills and attention to detail.&middot; Strong communication and collaboration skills, with the ability to work effectively in a team environment.Preferred Qualifications:&middot; Proficiency in Python, with libraries like pandas, NumPy, scikit-learn, spacy, NLTK and Tensor Flow, Pytorch&middot; Knowledge of natural language processing (NLP) and custom/computer, YoLo vision techniques.&middot; Experience with Graph ML, reinforcement learning, or causal inference modeling.&middot; Familiarity with marketing analytics, attribution modelling, and A/B testing methodologies.&middot; Working knowledge of BI tools for integrating ML insights into dashboards.&middot; Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process&middot; Familiarity with DevOps practices and CI/CD pipelines.&middot; Experience with big data technologies (e.g., Hadoop, Spark) is added advantage&middot; Certifications in AI/MLJob Type: Full-timePay: &#8377;2,500,000.00 - &#8377;3,000,000.00 per yearExperience:<ul><li>AI ML engineer: 7 years (Preferred)</li></ul>Work Location: In person

AI ML Engineer

Kodesinc

We're Hiring: Python Django Developer (AI/ML)Position: Full-Time (Onsite)Experience: Atleast 1 yearLocation: LahoreAbout the Role:KODESINC is looking for a Python Django Developer with hands-on experience in AI/ML to join our growing tech team in Lahore. Excellent communication skills are a must, with the ability to explain ideas clearly, lead discussions, and work across teams.Must-Have Requirements:<ul><li>1+ years of proven experience in Artificial Intelligence / Machine Learning (projects, deployments, or production-level models).</li><li>Strong proficiency in Python, particularly with Django and FastAPI frameworks.</li><li>Experience with RESTful APIs design and development.</li><li>Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and ORM tools.</li><li>Familiarity with Git and version control best practices.</li><li>Good understanding of software development practices: testing, debugging, code reviews.</li><li>Strong problem-solving and analytical thinking.</li><li>Effective communication and collaboration skills.</li></ul>Nice-to-Have Skills:<ul><li>Practical experience with Large Language Models (LLMs) like OpenAI GPT, Hugging Face, etc.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP).</li><li>Experience with Docker and containerized environments.</li><li>Basic exposure to frontend technologies like HTML, CSS, JavaScript, React, or Vue (a plus).</li></ul>How to Apply:Send your resume to https://forms.gle/YgNGFUXGu7as2vPk9 and start your journey with KODESINC today!Job Type: Full-timeWork Location: In person

Django Developer

Confidential Company

<ul><li>Develop and deploy machine learning models for real-world applications, from data collection to model serving, ensuring scalability and efficiency.</li><li>Collaborate with cross-functional teams (data scientists, software engineers, product managers) to understand business needs and translate them into machine learning solutions.</li><li>Design and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.</li><li>Experiment with various machine learning algorithms, frameworks, and tools to identify the best solutions for specific problems, optimizing for performance and accuracy.</li><li>Write clean, well-documented, and testable code (Python, etc.) and contribute to code reviews, ensuring code quality and maintainability.</li><li>Monitor and maintain deployed machine learning models, addressing performance issues, retraining models with new data, and ensuring continuous improvement.</li></ul>

Machine Learning Engineer

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