deep learning 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 : Machine Learning Operations, SQL 
Good to have skills : NA 
Minimum 5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to foster their professional growth. - Continuously evaluate and improve existing processes and workflows. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of model evaluation metrics and performance tuning. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.
 
15 years full time education

AI / ML Engineer

Source-Right Inc.

<div><div>Position: Machine Learning (ML) Engineer (CE60SF RM 3571)
Shift timing : General Shift / 5 days week work from office 
Relevant Experience required : 4+ years 
Education Required : Bachelor&rsquo;s / Masters / PhD : B.E Computers, MCA is preferable
Must have skills:
<ul>Machine Learning
Python
DataBricks
Cloud Platform with strong MLOps exposure [Azure preferable]
SQL, NoSQL, and data modeling
Drift Detection &amp; Monitoring
Data Governance
</ul>
Good to have:
<ul>LLM solutions (RAG, Agentic AI, MCP, prompt engineering).
Power BI dashboards
</ul>
Role Summary 
Lead the design, development, and deployment of ML solutions at scale. Drive architecture, mentor the team, and integrate advanced AI (including LLMs) into enterprise workflows.
Note: Deep Learning is GREAT to have but Machine Learning is MANDATORY
Must-Have (Mandatory)
<ul>Machine Learning: Deep understanding of supervised, unsupervised, and reinforcement learning, model evaluation, and feature engineering.
Deep Learning: Proficiency with TensorFlow, PyTorch, Keras; hands-on with CNNs, RNNs.
Programming: Expert in Python (NumPy, Pandas, scikit-learn, etc.); R exposure acceptable.
Big Data Technologies: Practical experience with Spark (Databricks preferred); familiarity with Hadoop/Kafka.
Cloud Platforms: Azure or AWS or GCP (ML services, data storage, compute), with strong MLOps exposure.
Data Warehousing &amp; Databases: Strong SQL, NoSQL, and data modeling.
Drift Detection &amp; Monitoring: Hands-on experience with model drift detection, monitoring, and automated alerts.
Data Governance: Practical experience implementing governance frameworks, lineage tracking, metadata management, and compliance.
Architect scalable MLOps pipelines using Azure ML, MLflow, Databricks Asset Bundles (DAB), and CI/CD/CT
</ul>
Good-to-Have:
<ul>Design &amp; deploy LLM solutions (RAG, Agentic AI, MCP, prompt engineering).
Build Power BI dashboards for monitoring models and reporting business KPIs.
Strong grounding in statistics, hypothesis testing, and data interpretation.
Apply software engineering principles for reusable, testable, and maintainable ML code.
Stay up to date with Generative AI, Agentic AI, and LLMs and assess practical adoption.
Mentor juniors, review code, and conduct technical knowledge-sharing sessions.
Certification: Microsoft Certified: Azure Data Scientist Associate (nice to have).
</ul>
*******************************************************************************************************************************************
</div>
<div><div><div><div>Job Category: Digital_Cloud_Web Technologies
</div><div>Job Type: Full Time
</div><div>Job Location: AhmedabadIndorePune
</div><div>Experience: 6+ years
</div><div>Notice period: 0-15 days</div></div></div></div></div>

Machine Learning (ML) Engineer (CE60SF RM 3571)

Maeme's Limited

We're Hiring: AI EngineerLocation: Islamabad, Pakistan (On-Site)Full-TimeMaeme&rsquo;s Piri Piri, a rapidly growing international food brand, is expanding its technological frontier by integrating intelligent systems into its operations. We're looking for visionary talent to join our Islamabad-based innovation team as AI Engineer. As an AI Engineer, you will design, develop, and deploy AI and machine learning models to build intelligent products and services.Responsibilities:&middot; Design and implement machine learning and deep learning models for various applications (e.g., NLP, computer vision, recommendation systems).&middot; Collaborate with cross-functional teams to gather requirements, design data pipelines, and integrate AI models into products.&middot; Conduct model training, tuning, and evaluation using large-scale datasets.&middot; Optimize models for performance, accuracy, and scalability in real-world environments.&middot; Stay up-to-date with the latest advancements in AI/ML technologies and apply them where relevant.&middot; Support the deployment and monitoring of models in production environments.&middot; Maintain clear documentation and contribute to internal knowledge sharing.Requirements:&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.&middot; Proven experience (2+ years preferred) building and deploying machine learning models in production.&middot; Strong proficiency in Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).&middot; Solid understanding of data structures, algorithms, and statistics.&middot; Experience working with large datasets, data preprocessing, and feature engineering.&middot; Familiarity with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes) is a plus.&middot; Excellent problem-solving skills and ability to work in a collaborative environment.&middot; Experience with LLMs (e.g., OpenAI, Hugging Face Transformers).&middot; Knowledge of MLOps practices and tools (e.g., MLflow, Airflow, Kubeflow).&middot; Background in reinforcement learning, generative models, or graph neural networks.Apply now: Send your Resume at&middot; E.mail: hhtechsolution01@gmail.com&middot; WhatsApp: +923174967217&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321Job Type: Full-timeWork Location: In person

AI Engineer

elmenus technologies

<div><h2 class="jobSectionHeader">Role Overview</h2>
We are looking for a skilled AI Engineer with at least 3 years of experience in building, deploying, and optimizing AI/ML solutions. You will work closely with our product, engineering, and data science teams to design and implement models that power recommendations, improve search, optimize delivery operations, and personalize the customer journey.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and deploy machine learning and deep learning models for recommendation systems, personalization, and operational optimization.</li><li>
Collaborate with data engineers to ensure robust data pipelines for model training and inference.</li><li>
Integrate AI solutions into production environments with scalable APIs and cloud platforms.</li><li>
Continuously monitor, evaluate, and fine-tune model performance.</li><li>
Stay up to date with the latest advancements in AI/ML and apply them to real business challenges.</li><li>
Work cross-functionally with product managers, engineers, and analysts to define use cases and deliver measurable impact.</li></ul><h2 class="jobSectionHeader"> 
Requirements</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>
3+ years of hands-on experience in AI/ML model development and deployment.</li><li>
Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, etc.).</li><li>
Solid understanding of machine learning algorithms, deep learning architectures, NLP, and recommendation systems.</li><li>
Experience working with cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with MLOps tools (Docker, Kubernetes, MLflow, or similar) is a strong plus.</li><li>
Strong problem-solving skills and ability to translate business needs into AI solutions.</li><li>
Excellent communication and collaboration skills.</li></ul></div>

cEpoch

AI Engineer(Immediate joiner only)<ul><li>develop machine learning models and ai solutions</li><li>test, deploy, and maintain ai systems</li><li>collaborate with data scientists and other engineers to integrate ai into broader system architectures</li><li>stay current with ai trends and suggest improvements to existing systems and workflows</li></ul>Requirements and skills<ul><li>3+ years experience with Degree in computer science, engineering, or related field</li><li>experience with machine learning, deep learning, nlp, and computer vision</li><li>proficiency in python is mandatory; knowledge in r and java is good</li><li>strong knowledge of ai frameworks such as tensorflow or pytorch</li><li>excellent problem-solving skills and ability to work in a team environment</li><li>knowledge of individual llm model setup and training your own llm model is an added advantage</li></ul>Job Type: Full-timePay: &#8377;200,000.00 - &#8377;1,000,000.00 per yearApplication Question(s):<ul><li>What is your current ctc and expected ctc ?</li><li>Are you immediate joiner?</li></ul>Location:<ul><li>Vizag, Andhra Pradesh (Preferred)</li></ul>Work Location: In person

AI Developer

Stealth Company

Job SummaryWe are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate will have a strong foundation in Python, machine learning frameworks, and data science libraries. You will be responsible for developing, training, and deploying cutting-edge machine learning models, including applications in NLP, computer vision, and other AI domains.Key Responsibilities<ul><li>Develop and deploy machine learning models into production environments</li><li>Train and fine-tune models using large and diverse datasets</li><li>Implement AI techniques such as natural language processing (NLP), computer vision, and deep learning</li><li>Collaborate with data scientists, ML engineers, and software developers to optimize model performance and scalability</li><li>Utilize cloud-based AI services for scalable deployment and model management</li></ul>Required Skills &amp; Qualifications<ul><li>4+ year&rsquo;s in Python and machine learning frameworks like TensorFlow or PyTorch</li><li>2+ year's experience with data science libraries such as NumPy, Pandas, and Scikit-learn</li><li>2+ year's experience of supervised, unsupervised, and deep learning techniques</li><li>Familiarity with cloud AI services (e.g., AWS SageMaker, Google AI Platform, Azure ML)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul>Preferred Qualifications<ul><li>Experience with model monitoring and performance tuning in production</li><li>Exposure to MLOps tools and CI/CD for ML pipelines</li><li>Understanding of model explainability and ethical AI practices</li></ul>Why Join Us<ul><li>Build with Purpose: Work on impactful, high-scale products that solve real problems using cutting-edge technologies.</li><li>Tech-First Culture: Join a team where engineering is at the core &mdash; we prioritize clean code, scalability, automation, and continuous learning.</li><li>Freedom to Innovate: You&rsquo;ll have ownership from day one &mdash; with room to experiment, influence architecture, and bring your ideas to life.</li><li>Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence.</li></ul>Paladin Tech is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace and welcome candidates of all backgrounds and identities.Job Types: Full-time, PermanentWork Location: In person

Zonopact India Pvt. Ltd.

Job Title: Senior AI EngineerCompany: Zonopact Pvt Ltd Location: Remote Shift Timing: UK Shift (1 PM &ndash; 10 PM), Monday to Saturday Salary: Depends on Experience &amp; Current SalaryJob Description:Zonopact Pvt Ltd is looking for a highly skilled Senior AI Engineer with 5&ndash;6 years of experience in building, deploying, and optimizing AI/ML models for real-world business applications. This role requires expertise in machine learning, deep learning, natural language processing (NLP), and data engineering, along with the ability to work on end-to-end AI solutions for international clients in the UK and US markets.The ideal candidate should be passionate about leveraging AI technologies to solve complex problems, deliver scalable solutions, and mentor junior team members.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML models for predictive analytics, automation, and decision-making.</li><li>Work with structured and unstructured datasets to preprocess, clean, and prepare data.</li><li>Apply advanced techniques in machine learning, deep learning, and NLP to solve real-world problems.</li><li>Optimize models for scalability, performance, and accuracy.</li><li>Collaborate with data engineers and backend developers to integrate AI solutions into production systems.</li><li>Research and implement state-of-the-art algorithms in computer vision, NLP, and generative AI.</li><li>Monitor, evaluate, and retrain deployed models for continuous improvement.</li><li>Document processes, prepare technical reports, and share knowledge with the team.</li><li>Mentor junior AI engineers and data scientists.</li></ul>Required Skills &amp; Experience:<ul><li>5&ndash;6 years of experience as an AI Engineer, Data Scientist, or ML Engineer.</li><li>Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).</li><li>Solid understanding of machine learning algorithms, deep learning architectures (CNN, RNN, Transformers).</li><li>Experience with NLP libraries (SpaCy, NLTK, Hugging Face Transformers).</li><li>Familiarity with large language models (LLMs) and generative AI frameworks.</li><li>Experience with data visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Knowledge of SQL/NoSQL databases and data pipelines.</li><li>Proficiency in REST API development for model deployment.</li><li>Experience with Git/GitHub/GitLab for version control.</li><li>Strong problem-solving, mathematical, and analytical skills.</li></ul>Preferred Skills (Nice to Have):<ul><li>Familiarity with MLOps practices, CI/CD pipelines for ML, and tools like MLflow or Kubeflow.</li><li>Experience with cloud platforms (AWS, Azure, GCP) for AI model training and deployment.</li><li>Knowledge of Docker/Kubernetes for containerized AI solutions.</li><li>Experience with big data frameworks (Hadoop, Spark).</li><li>Exposure to computer vision frameworks (OpenCV, YOLO, Detectron).</li><li>Contribution to open-source AI/ML projects.</li></ul>What We Offer:<ul><li>Opportunity to work on cutting-edge AI projects with global exposure.</li><li>Access to modern AI/ML tools, frameworks, and cloud environments.</li><li>Collaborative work culture with scope to mentor and lead AI initiatives.</li><li>Competitive compensation (based on experience and current salary).</li><li>Growth opportunities in applied AI, data science, and generative AI research.</li></ul>This version emphasizes practical AI/ML deployment, leadership, and advanced tools&mdash;ideal for a senior-level hire.Job Type: Full-timePay: &#8377;30,000.00 per monthBenefits:<ul><li>Health insurance</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Programming: 5 years (Required)</li><li>total work: 5 years (Required)</li></ul>Work Location: Remote

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