deep learning engineer

AxcelerateAI

We are a software development company with a strong specialised focus on developing artificial intelligence-based solutions for real-world industrial problems. We focus on using state-of-the-art AI technologies to solve complex industrial problems.We are looking for a Machine Learning (ML) engineer, with a specialisation in deep learning, to join our team.Position DetailsType: Full-timeLocation: In-person, Johar Town LahoreJob DescriptionCoordinating with an in-house or external data team to design a strategy for collecting appropriate data for building a deep learning model for the required taskDesigning, building and training deep learning models using state-of-the-art architectures including CNNs, LSTMs, attention networks and transformers. Training is either done on our on-premise servers or on the cloud (e.g., using AWS servers)Deploying the final model on a server and providing an interface or APIs to interact with itMinimum RequirementsBachelor&rsquo;s or Master&rsquo;s degree in EE, CS or Data ScienceAbility to formulate a problem as a machine learning problemA reasonable theoretical/mathematical understanding of various deep learning architecturesA reasonable theoretical/mathematical understanding of various objective/loss functionsStrong programming skills in PythonExtensive experience in either TensorFlow or PyTorchPrior experience of using deep learning either in research or industrial settingNo minimum prior industry experience is needed if the candidate fulfills the above requirements.Job Type: Full-timeWork Location: In person

Machine Learning Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

DIGINERS

We are seeking a skilled and motivated AI Engineer with 2+ years of hands-on experience in developing, deploying, and optimizing AI/ML models. The ideal candidate should have strong foundations in machine learning, deep learning, data engineering, and software development. You will work closely with cross-functional teams to design intelligent solutions that improve system performance, automate workflows, and create impactful user experiences.Key Responsibilities1. AI/ML Model Development&middot; Design, develop, and optimize machine learning and deep learning models for various business use cases.&middot; Train, validate, and fine-tune models using structured and unstructured datasets.&middot; Conduct exploratory data analysis (EDA) and feature engineering to improve model performance.2. Deployment &amp; MLOps&middot; Deploy machine learning models into production using cloud platforms (AWS/Azure/GCP) or on-prem environments.&middot; Create CI/CD pipelines for model training, testing, and deployment.&middot; Implement monitoring systems to track model accuracy, drift, and performance over time.3. Data Engineering &amp; Preparation&middot; Work with large datasets, ensuring proper data preprocessing, cleaning, labelling, and transformation.&middot; Develop scalable data pipelines and integrate models with databases, APIs, and backend systems.4. Research &amp; Innovation&middot; Stay updated with latest advancements in AI, NLP, computer vision, generative models, and automation technologies.&middot; Experiment with emerging tools, frameworks, and LLM technologies to improve workflows and drive product innovation.5. Collaboration &amp; Documentation&middot; Work with software engineers, product managers, and domain experts to understand requirements and translate them into technical solutions.&middot; Document model architecture, experiments, versioning, and deployment processes for internal reference.Required QualificationsExperience&middot; Minimum 2 years of professional experience working as an AI Engineer, ML Engineer, Data Scientist, or similar role.&middot; Experience building and deploying machine learning models in real-world production systems.Technical Skills&middot; Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and model optimization techniques.&middot; Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn, Keras.&middot; Experience with data processing frameworks such as Pandas, NumPy, Spark, or Dask.&middot; Hands-on experience with cloud platforms (AWS Sagemaker, Azure ML, GCP Vertex AI).&middot; Familiarity with Docker, Kubernetes, and MLOps tools.&middot; Strong grasp of REST APIs, microservices, and system integrations.Soft Skills&middot; Strong problem-solving skills and analytical thinking.&middot; Excellent communication skills to explain technical concepts clearly.&middot; Ability to work in a fast-paced, collaborative environment.&middot; Attention to detail and commitment to writing clean, scalable, maintainable code.Preferred Qualifications (Optional)&middot; Experience with NLP, LLMs, or Computer Vision.&middot; Familiarity with vector databases, LangChain, or RAG pipelines.&middot; Experience with A/B testing, experimentation, and ML observability tools.&middot; Contribution to open-source AI/ML projects.What We Offer&middot; Competitive salary package based on experience.&middot; Opportunities for technical growth, certifications, and professional development.&middot; Collaborative work environment with cutting-edge AI technologies.&middot; Flexible working hours and supportive team culture.Job Types: Full-time, Part-time, Contract Contract length: 6 monthsExpected hours: No less than 8 per weekWork Location: In person

AI Engineer

Digital Phantom

Digital Phantom is looking for an AI Engineer with 2&ndash;3 years of experience to develop and deploy AI-powered systems, automations, and business tools.Responsibilities<ul><li>Build and optimize machine learning &amp; deep learning models</li><li>Develop AI automations, chatbots, and internal tools</li><li>Work with AI APIs (OpenAI, Hugging Face, etc.)</li><li>Data preparation, model evaluation &amp; deployment</li><li>Support marketing and business automation workflows</li></ul>Requirements<ul><li>2&ndash;3 years of AI/ML development experience</li><li>Strong Python skills</li><li>Experience with TensorFlow / PyTorch</li><li>Familiarity with AI APIs &amp; automation stacks</li><li>Understanding of prompt engineering</li><li>Ability to work during Canadian/US hours</li></ul>Nice to Have<ul><li>Experience with AI video tools (Runway, Pika, etc.)</li><li>Cloud deployment (AWS / GCP)</li></ul>ApplyApply on Indeed with your resume. GitHub / portfolio links are a plus.Job Type: Full-timePay: From Rs130,000.00 per monthExperience:<ul><li>AI : 2 years (Required)</li></ul>Work Location: Remote

Aegan Technologies Private Limited

Job Title: AI/ML Engineer &ndash; Computer Vision &amp; NLP (4 Years Experience) Location: Coimbatore Job Type: Full-time Experience Level: Mid-level (4+ years) About the Role: We are looking for a passionate and skilled AI/ML Engineer with strong expertise in Image Processing, Deep Learning, and NLP, to join our growing team. You will be responsible for designing, developing, and deploying cutting-edge AI solutions using the latest in YOLO, OpenAI APIs, CNN architectures, and natural language processing techniques.Key Responsibilities:<ul><li>Design and implement AI models for image recognition, object detection, and text understanding.</li><li>Work with the latest YOLO versions (v6, v7, v8) for real-time object detection and tracking.</li><li>Develop and fine-tune convolutional neural networks (CNNs) and other deep learning models for computer vision tasks.</li><li>Integrate OpenAI APIs (ChatGPT, Whisper, DALL&middot;E, etc.) for intelligent solutions in NLP and generative AI.</li><li>Process and analyze large-scale datasets, including images, videos, and text.</li><li>Collaborate with cross-functional teams including data scientists, software engineers, and product managers.</li><li>Optimize model performance for accuracy, speed, and efficiency in real-world environments.</li><li>Stay up to date with the latest research and innovations in AI/ML, computer vision, and NLP.</li></ul>Required Skills and Experience:<ul><li>4+ years of hands-on experience in AI/ML engineering.</li><li>Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, OpenCV, Scikit-learn.</li><li>Experience with YOLO (v6/v7/v8) and other real-time object detection models.</li><li>In-depth knowledge of convolutional neural networks (CNNs), transformers, and deep learning architectures.</li><li>Strong understanding of model quantization techniques and implementation of pre- and post-processing pipelines for deep learning models.</li></ul><ul><li>Proficient in managing large datasets and preparing high-quality annotations for model training and evaluation.</li></ul><ul><li>Experience in model conversion and optimization based on hardware requirements.***</li></ul>Experience working with OpenAI tools and APIs for NLP and generative AI.<ul><li>Solid background in image preprocessing, augmentation, and annotation pipelines.</li><li>Familiarity with NLP techniques such as sentiment analysis, named entity recognition, and text summarization.</li><li>Experience deploying models in production environments using Docker, REST APIs, or cloud platforms (AWS, GCP, Azure).</li><li>Excellent problem-solving and debugging skills.</li></ul>Nice to Have:<ul><li>Knowledge of LLaMA, Stable Diffusion, or similar generative AI frameworks.</li><li>Experience with MLOps tools like MLflow, Weights &amp; Biases, or Kubeflow.</li><li>Exposure to OCR frameworks like Tesseract or EasyOCR.</li><li>Prior experience in AI-based product development or startups.</li></ul>Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li></ul>Why Join Us?<ul><li>Work on impactful, real-world AI projects.</li><li>Be part of an innovative and fast-paced team driving the future of AI.</li><li>Flexible work environment and career growth opportunities.</li></ul>Interested Candidates Apply at ashika@aegan-global.com / +91 9677254444Job Type: Full-timeBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Uplers

<div>
 
 
 Experience:
 
 3 to 7 Years Exp
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Onsite (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 (*Note: This is a requirement for one of Uplers' Clients--Newton School)
 
 
 
 
 
 
 
 Must have skills:
 
 AI/ML
 
 and
 
 Deep Learning
 
 and
 
 LLMs
 
 OR
 
 NLP
 
 OR
 
 Transformers
 
 OR
 
 Statistical Modelling
 
 OR
 
 Agentic AI
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).
 </li>
 <li>
 Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
 </li>
 <li>
 Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
 </li>
 <li>
 Guide &amp; Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
 </li>
 <li>
 Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
 </li>
 <li>
 Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
 </li>
 <li>
 Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
 </li>
 <li>
 3-7 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.
 </li>
 <li>
 Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.
 </li>
 <li>
 Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical &amp; deep learning CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
 </li>
 <li>
 Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Technical: Expert-level Python programming.
 </li>
 <li>
 Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
 </li>
 <li>
 Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Strong SQL and data handling skills.
 </li>
 <li>
 Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
 </li>
 <li>
 Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 Strong communication, mentoring ability, collaboration, and a genuine passion for education.
 
 
 
 
 
 
 Good-to-Have
 
 
 <ul>
 <li>
 Prior teaching experience at the undergraduate or graduate level.
 </li>
 <li>
 Familiarity with modern teaching methodologies and academic tools.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Vyapi Lextech Solutions Pvt Ltd.

Designation: AI Engineer - Legal &amp; Enterprise automationQualification: Bachelor&rsquo;s or master&rsquo;s degree in computer science, Artificial Intelligence, Data Science or a related technical discipline.Certifications (if any): Relevant certifications in AI/ML, NLP, Deep Learning or Cloud AI platforms (preferred).Experience: Minimum 4+ years of experience in AI/ML model development, LLM integration and intelligent system design.Work Location: Bangalore / Mumbai / Pune Work Mode: HybridRole Summary: Vyapi Lextech Solutions is hiring an experienced AI Engineer for its renowned global technology partner to join their growing technology team.Partner Company Brief: The organization has been recognized for pioneering advancements in the field of legal and enterprise automation. The company&rsquo;s AI-driven platform has been designed to transform the way legal, business and executive teams collaborate, enabling enterprises to uncover opportunities, reduce risks and convert insights into strategic business decisions. Headquartered across multiple global locations including London, New York, Toronto, Dubai, Sydney and major Indian metros, the organization operates with a diverse team of innovators who are passionate about redefining how technology supports modern legal and business functions. Job Role: The AI Engineer will be responsible for designing, developing and deploying intelligent systems that enhance automation and decision-making within enterprise applications. The role involves building agent-based AI architectures, integrating large language models and developing intelligent agents capable of reasoning, learning and acting autonomously. The incumbent will work closely with cross-functional teams to create scalable, explainable and production-ready AI solutions that deliver measurable business impact.Key Responsibilities:<ul><li>Design and implement scalable agentic AI systems capable of executing complex workflows and reasoning over domain-specific data.</li><li>Research, prototype and deploy machine learning and deep learning models, with emphasis on Natural Language Processing (NLP/NLU).</li><li>Develop and integrate autonomous AI agents that can interpret, analyse and act on structured and unstructured data.</li><li>Utilize frameworks such as LangChain, AutoGen, OpenAI Function Calling and Semantic Kernel to create multi-agent workflows.</li><li>Fine-tune and deploy Large Language Models (LLMs) using PEFT, LoRA and RAG techniques for domain adaptation.</li><li>Build and maintain infrastructure for AI model lifecycle management&mdash;training, inference, monitoring and optimization.</li><li>Collaborate with domain experts, product teams and engineers to design transparent, explainable and ethical AI solutions.</li><li>Contribute to the overall AI and automation strategy, enabling innovation and scalability across product offerings.</li></ul>Required Skills:<ul><li>Strong foundation in Machine Learning, NLP and Deep Learning.</li><li>Hands-on experience with Python and libraries/frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain and Spacy.</li><li>Proven experience in building or integrating agentic AI systems or multi-agent frameworks.</li><li>Understanding of LLM architectures (OpenAI, LLAMA, Falcon) and prompt engineering techniques.</li><li>Familiarity with Reinforcement Learning methods (PPO, RLHF, RLAIF).</li><li>Experience with document processing and semantic extraction from text, PDFs and images.</li><li>Exposure to cloud-based AI environments and MLOps practices.</li></ul>Desired Skills:<ul><li>Experience in AI system deployment using Docker or microservices architecture.</li><li>Knowledge of retrieval-augmented generation (RAG) pipelines.</li><li>Familiarity with vector databases and embedding techniques.</li><li>Exposure to Agile/Scrum methodologies and cross-functional collaboration.</li></ul>Personal Attributes:<ul><li>Analytical, innovative and detail-oriented mindset.</li><li>Strong problem-solving and research skills.</li><li>Excellent communication and collaboration abilities.</li><li>Proactive learner with a passion for emerging AI technologies.</li><li>Commitment to building ethical, explainable and scalable AI solutions.</li></ul>Job Types: Full-time, PermanentPay: &#8377;1,500,000.00 - &#8377;3,000,000.00 per yearApplication Question(s):<ul><li>Which Location do you wish to Apply for (Bangalore / Mumbai / Pune)?</li></ul>Experience:<ul><li>AI/ML model development: 4 years (Required)</li><li>LLM integration &amp; intelligent system design: 2 years (Required)</li></ul>Work Location: In person

AI Engineer - Legal & Enterprise automation

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