ml engineer

Liquid Technologies

Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. We offervarious services in DevOps, Data services and AI to multiple businesses and organizations and those that are in the startup phase. We're a team of creators, thinkers, explorers and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people.We are looking to add a ML Engineer to join our Karachi office.Key Responsibilities:<ul><li>Deploy, monitor, and manage machine learning models in production environments.</li><li>Develop and maintain scalable ML pipelines for training and inference.</li><li>Automate model retraining and deployment using CI/CD workflows.</li><li>Optimize cloud and on-prem infrastructure for ML workloads.</li><li>Implement monitoring, logging, and alerting for model performance and drift detection.</li><li>Ensure reproducibility, version control, and governance for ML models.</li><li>Collaborate with data scientists to optimize model deployment strategies.</li><li>Work with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure) for model hosting.</li><li>Manage feature stores, model registries, and data pipelines.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with ML pipeline orchestration tools like Kubeflow, Airflow, or MLflow.</li><li>Strong knowledge of DevOps &amp; CI/CD practices for ML (Git, Jenkins, Docker, Kubernetes).</li><li>Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).</li><li>Experience in model monitoring, logging, and automated retraining.</li><li>Understanding of data engineering, feature stores, and ETL pipelines.</li><li>Strong problem-solving and collaboration skills.</li><li>Previous experience in applying machine learning to service sector domains, such as retail, hospitality, transportation, or similar, is a plus.</li><li>Knowledge of cloud platforms (e.g AWS, Azure, GCP) and their machine learning services are advantageous.</li><li>Excellent communication skills to convey technical concepts to diverse audiences effectively.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>What's your Current Salary?</li><li>What's your Expected Salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li><li>Have you deployed machine learning models to a production environment using Docker and/or Kubernetes? </li><li>How many years of hands-on experience do you have working with machine learning pipelines (training, deployment, monitoring)?</li><li>Have you used any cloud ML services (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) in a real project? </li></ul>Work Location: In person

ML Engineer

Accenture

Project Role : AI / ML Engineer 
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
Must have skills : Microsoft Azure AI foundry 
Good to have skills : Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an Azure AI Engineer, you will engage in the design, deployment, and governance of Agentic AI solutions on Microsoft Azure AI Foundry. You will ensure scalable orchestration, observability, and compliance across AI projects while driving innovation in enterprise-grade AI adoption. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. You will collaborate with multiple teams to deliver secure, efficient, and responsible AI systems, while providing technical leadership and enabling organizational transformation through Microsoft&rsquo;s AI ecosystem. Roles &amp; Responsibilities: &bull; Serve as the developer for Microsoft Azure AI Foundry and Agentic AI . &bull; Design and deploy Agentic AI solutions leveraging orchestration, pipelines, and observability in Azure AI Foundry. &bull; Collaborate with data scientists, engineers, architects, and business stakeholders to drive AI adoption. &bull; Ensure AI workloads meet enterprise security, compliance, and governance requirements. &bull; Ensuring accountability and high-quality delivery. &bull; Provide scalable solutions for multi-team AI initiatives across the enterprise. &bull; Monitor solution performance, optimize pipelines, and align outcomes with business goals. Professional &amp; Technical Skills: &bull; Proven expertise in Microsoft Azure AI Foundry and Agentic AI (minimum 3 years hands-on experience in Azure AI/ML technologies) &bull; Strong understanding of AI governance, observability, and compliance frameworks. &bull; Experience designing and deploying AI pipelines on Microsoft Azure. &bull; Deep knowledge of Azure ecosystem (Azure Machine Learning, Cognitive Services, OpenAI, Synapse, Logic Apps, etc.). &bull; Ability to analyze large-scale AI workloads and optimize for performance, scalability, and cost-efficiency. &bull; Familiarity with regulatory requirements for enterprise AI adoption. Additional Information: &bull; The candidate should have minimum 3 years of experience in Azure AI/ML technologies. &bull; A 15 years full time education is required.
 
15 years full time education

AI / ML Engineer

Qodequay Technologies Pvt ltd

Machine Learning Engineer (3-5 Years Experience)Location: Pune, India Job Type: Full-Time Experience: 3-5 Years Industry: IT Services / Artificial Intelligence / Data ScienceJob Summary:We are seeking a highly skilled Machine Learning Engineer with 3-5 Years years of experience in building and deploying ML models. The ideal candidate should have expertise in data preprocessing, model training, MLOps, and cloud-based deployment. The role requires strong programming skills, experience with ML frameworks, and the ability to optimize models for scalability and performance.Key Responsibilities:<ul><li>Model Development: Design, build, and optimize machine learning models for various use cases like predictive analytics, NLP, computer vision, and anomaly detection.</li><li>Data Preprocessing &amp; Feature Engineering: Clean, preprocess, and transform large datasets to ensure quality input for ML models.</li><li>Model Training &amp; Evaluation: Train, validate, and fine-tune models using TensorFlow, PyTorch, Scikit-learn, XGBoost, or LightGBM.</li><li>MLOps &amp; Deployment: Deploy ML models in production environments using Docker, Kubernetes, FastAPI, Flask, or TensorFlow Serving.</li><li>Cloud-Based ML: Implement ML pipelines using AWS SageMaker, Google Vertex AI, or Azure ML.</li><li>Automated ML Pipelines: Build end-to-end ML pipelines for data ingestion, training, testing, and deployment using Kubeflow, MLflow, or Airflow.</li><li>Performance Optimization: Optimize models for latency, memory efficiency, and computational cost.</li><li>API Development: Develop RESTful APIs and integrate ML models with applications.</li><li>Experimentation &amp; Hyperparameter Tuning: Perform A/B testing and optimize models using Hyperopt, Optuna, or Ray Tune.</li><li>Deep Learning &amp; AI Solutions: Implement deep learning models for image recognition, speech processing, or reinforcement learning.</li><li>Collaboration &amp; Documentation: Work closely with data scientists, software engineers, and DevOps teams to integrate ML solutions and document workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Programming Languages: Proficiency in Python (NumPy, Pandas, Matplotlib, Seaborn) and experience with C++ or Java (preferred).</li><li>Machine Learning &amp; AI Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK, or Hugging Face.</li><li>Big Data &amp; Cloud Computing: Familiarity with Apache Spark, Databricks, AWS S3, Google BigQuery, or Azure Data Lake.</li><li>Model Deployment &amp; MLOps: Experience with MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines for ML.</li><li>Database &amp; Data Engineering: Knowledge of SQL, NoSQL (MongoDB, DynamoDB), and data warehouses (Redshift, Snowflake).</li><li>Visualization Tools: Experience with Tableau, Power BI, or Plotly for data representation.</li><li>Version Control &amp; Collaboration: Familiarity with Git, GitHub, or Bitbucket.</li></ul>Preferred Qualifications:<ul><li>Certifications: AWS Certified Machine Learning &ndash; Specialty, TensorFlow Developer Certification, or Google Cloud Professional ML Engineer.</li><li>Experience with Edge AI &amp; IoT ML Deployments.</li><li>Familiarity with Reinforcement Learning, GANs, or Federated Learning.</li><li>Hands-on experience with NLP models like BERT, GPT, or T5.</li></ul>Soft Skills:<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to work in Agile environments and cross-functional teams.</li><li>Excellent communication and documentation skills.</li><li>Passion for innovation and staying updated with AI/ML trends.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Augmenza Tech Private Limited

Job Title: AI / ML EngineerExperience Required: 5 to 6 Years Employment Type: Full-Time Location: OnsiteRole SummaryWe are seeking a highly skilled AI / ML Engineer with 5&ndash;6 years of experience in designing, building, and deploying machine learning and AI-driven solutions. The ideal candidate will work on end-to-end ML pipelines, from data preprocessing and model development to deployment and monitoring in production environments.Key Responsibilities<ul><li>Design, develop, train, and deploy machine learning models</li><li>Work on data collection, preprocessing, and feature engineering</li><li>Implement supervised, unsupervised, and deep learning algorithms</li><li>Build scalable ML pipelines and integrate models into applications</li><li>Evaluate and optimize model performance using appropriate metrics</li><li>Deploy models using APIs and cloud platforms</li><li>Monitor model performance and retrain models as needed</li><li>Collaborate with data scientists, software engineers, and product teams</li><li>Document model architecture, experiments, and results</li></ul>Job Type: Full-timePay: ₹250,049.10 - ₹730,223.51 per yearWork Location: In person

ClientServer Technology Solutions LLC

Job Title: AI/ML Engineer (1&ndash;3 Years Experience)Location:HyderabadWork Mode :Work From OfficeJob Summary:We are seeking a passionate AI/ML Engineer with 1 to 3 years of experience to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong programming skills, hands-on experience with ML frameworks, and a solid understanding of data-driven problem solving.Key Responsibilities:<ul><li>Develop, train, test, and deploy machine learning models</li><li>Work with structured and unstructured datasets to build AI solutions</li><li>Perform data preprocessing, feature engineering, and model evaluation</li><li>Collaborate with data engineers, data scientists, and product teams</li><li>Optimize model performance, scalability, and accuracy</li><li>Integrate ML models into production applications via APIs</li><li>Monitor model performance and retrain models as required</li><li>Research and implement new AI/ML techniques and tools</li><li>Document model designs, workflows, and experiments</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or a related field</li><li>1&ndash;3 years of hands-on experience in AI/ML development</li><li>Strong programming skills in Python</li><li>Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Good understanding of machine learning algorithms (regression, classification, clustering, NLP basics)</li><li>Experience with data analysis libraries (NumPy, Pandas, Matplotlib/Seaborn)</li><li>Familiarity with SQL and data handling techniques</li><li>Basic understanding of software engineering best practices and Git</li></ul>Preferred Skills (Good to Have):<ul><li>Experience with Deep Learning, NLP, or Computer Vision</li><li>Exposure to MLOps tools (MLflow, Kubeflow, Airflow)</li><li>Experience deploying models on AWS, Azure, or GCP</li><li>Knowledge of Docker and Kubernetes</li><li>Understanding of model monitoring, drift detection, and retraining strategies</li><li>AI/ML certifications or relevant coursework</li></ul>Job Type: Full-timePay: ₹200,000.00 - ₹300,000.00 per yearWork Location: In person

Nissan

Nissan is a pioneer in Innovation and Technology. With a focus on Mobility, Operational Excellence, Value to our Customers and Electrification of vehicles, you can expect to be part of a very exciting journey here at Nissan. 
 
Nissan is going after a massive Digital Transformation backed by leading technologies across the organization globally. We are committed to building a diverse, entrepreneurial organization, and our current team is a strong evidence of that. Our people are what drive the business forward. At Nissan Digital, you will be part of a dynamic team with ample opportunities to grow and make a difference. 
 
Responsibilities: 
Assist in developing, training, and optimizing machine learning models for various applications. 
Work with large datasets, performing data preprocessing, feature engineering, and model evaluation. 
Collaborate with data scientists and software engineers to integrate ML models into production environments. 
Conduct experiments to improve model accuracy and efficiency. 
Write clean, efficient, and well-documented code for ML model development. 
Stay updated with the latest advancements in ML algorithms and technologies. 
 
Key Competencies: 
Strong analytical and problem-solving skills. 
Ability to understand and implement ML algorithms effectively. 
Good communication skills to collaborate with cross-functional teams. 
Attention to detail and a structured approach to work. 
GenAI: Curiosity and experimentation with LLMs &amp; GenAI tools (e.g., ChatGPT, Gemini) and prompt tuning 
MLOps: Learning foundations of model deployment, version control, and experiment tracking 
 
Relevant Work Exp : 2-5 years 
 
Technical Skills: 
Proficiency in Python, TensorFlow, PyTorch, or Scikit-learn. 
Experience with data manipulation using Pandas and NumPy. 
Familiarity with cloud platforms like AWS, Azure, or GCP for ML model deployment. 
Knowledge of SQL and database management. 
Understanding of software development best practices (Git, Docker, CI/CD). 
 
Behavioral Competencies: 
Adaptability: Open to learning and applying new ML techniques, tools, and frameworks. 
Learning Agility: Willingness to experiment, analyze failures, and continuously improve skills. 
Teamwork: Works collaboratively with peers, takes feedback constructively, and contributes to team success. 
 
Certifications (Optional): 
TensorFlow Developer Certification 
AWS Certified Machine Learning - Specialty 
Microsoft Certified: Azure AI Engineer Associate 
Google Professional Machine Learning Engineer 
Trivandrum Kerala India

ML Engineer II

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