deep learning engineer

Zensar Technologies

<div><div><div><div><div>The Senior ML/AI Engineer will lead the design, development, and deployment of machine learning models and artificial intelligence solutions, focusing on solving complex business challenges through predictive analytics, natural language processing, and deep learning techniques. The role involves collaborating closely with data scientists, data engineers, and business stakeholders to create scalable, production-grade ML/AI models that align with the organization's strategic goals. Additionally, the Senior ML/AI Engineer will drive innovation by exploring new AI methodologies, including large language models, and integrating them into data solutions for enhanced customer engagement and business insights. 
</div></div> 
<div><div>DESCRIBE THE MAIN ACTIVITIES OF THE JOB ( DESCRIPTION ) 
</div></div> 
<div><div>Machine Learning Model Development:
<ul><li>Build, train, and deploy advanced machine learning models, including regression, classification, clustering, and recommendation algorithms, that deliver business value.
</li><li>Implement NLP, deep learning, and computer vision solutions as required to support customer-centric applications and predictive analytics.
</li><li>Apply knowledge of large language models (LLMs) to develop conversational AI and recommendation systems for customer engagement.
</li></ul>AI System Design &amp; Deployment:
<ul><li>Design end-to-end ML/AI pipelines that support the continuous integration and deployment of machine learning models into production environments.
</li><li>Leverage MLOps best practices for model versioning, retraining, performance monitoring, and scalability.
</li><li>Ensure models are optimized for latency, accuracy, and scalability by deploying on cloud platforms such as AWS, GCP, or Azure.
</li></ul>Data Gathering and Preprocessing:
<ul><li>Collaborate with data engineering teams to design and optimize ETL/ELT pipelines for AI-specific data needs.
</li><li>Engineer and preprocess large, complex datasets from various sources to ensure model robustness, accuracy, and generalizability.
</li><li>Contribute to the centralized data knowledge management system to streamline data access for ML/AI use cases.
</li></ul>Predictive Analytics &amp; Foresight Generation:
<ul><li>Perform predictive analytics to support business strategies, creating foresight-driven models that enhance customer experiences and drive revenue growth.
</li><li>Evaluate and implement techniques for model interpretability, explainability, and bias reduction.
</li></ul>Collaboration &amp; Stakeholder Engagement:
<ul><li>Partner with business stakeholders to identify areas where ML/AI can drive value, and translate these into actionable AI projects.
</li><li>Work closely with data scientists, data engineers, and software development teams to ensure successful model deployment and alignment with data architecture.
</li><li>Document processes, code, and models for knowledge sharing and team scalability.
</li></ul>Continuous Improvement &amp; Research:
<ul><li>Stay updated on advancements in ML/AI, particularly LLMs and generative AI, and identify opportunities to apply these innovations to business problems.
</li>Conduct ongoing model evaluation and improvement based on performance metrics, customer feedback, and evolving business needs. 
<li>
</li></ul></div></div> 
<div><div>MINIMUM QUALIFICATIONS/EXPERIENCE ( REQUIRED FOR THE JOB ) 
</div></div> 
<div><div>Education:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
</li><li>Master&rsquo;s or Ph.D. in Machine Learning, AI, or a similar field is strongly preferred for a senior role.
</li></ul>Experience Requirements :
<ul><li>5+ years of hands-on experience in machine learning, AI engineering, or data science, with a track record of successfully deploying models in production.
</li><li>Extensive experience working with large datasets, building and fine-tuning ML models, and deploying on cloud platforms.
</li><li>Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with NLP and large language models.
</li></ul>Preferred Technical Skills:
<ul><li>Proficiency in Python and ML libraries (e.g., scikit-learn, Keras, Hugging Face).
</li><li>Strong experience in cloud-based ML services (e.g., AWS SageMaker, GCP AI Platform, Azure ML).
</li>Knowledge of MLOps tools and practices (e.g., MLflow, Airflow, Docker, Kubernetes). 
<li>
</li></ul></div></div> 
<div><div>ADDITIONAL QUALIFICATIONS/EXPERIENCE ( PREFERRED, NOT A REQUIREMENT ) 
</div></div> 
<div><div>M achine Learning and AI Certifications:
<ul><li>AWS Certified Machine Learning &ndash; Specialty: Recognized for building, training, and deploying ML models on AWS.
</li><li>Google Professional Machine Learning Engineer: Certifies knowledge in deploying ML models on Google Cloud.
</li><li>Microsoft Certified: Azure AI Engineer Associate: A certification focusing on Azure-based AI development.
</li><li>Certified Machine Learning Professional (CMLP): Industry-recognized certification for ML proficiency.
</li></ul>Deep Learning and NLP Certifications: 
<ul><li>Deep Learning Specialization by Andrew Ng (Coursera): Covers foundational and advanced deep learning techniques.
</li><li>Natural Language Processing with Deep Learning (Stanford or equivalent): For proficiency in NLP techniques and applications.
</li></ul>Data Science and Analytics:
<ul><li>Certified Data Scientist (CDS) by DASCA: A foundational certification for data science, often a complement to ML expertise.
</li><li>TensorFlow Developer Certification: Useful for engineers focusing on deep learning.
</li></ul>MLOps and Cloud Certifications:
<ul><li>MLOps Certification by Google: Demonstrates proficiency in end-to-end ML pipeline management and deployment.
</li>Certified Kubernetes Administrator (CKA): Beneficial for deploying and managing containerized ML models. 
<li>
</li></ul></div></div> 
<div><div>COMPETENCIES REQUIRED 
</div></div> 
<div><div>Technical Proficiency and Model Engineering:
<ul><li>Proficient in a range of ML/AI techniques, including supervised and unsupervised learning, NLP, deep learning, and computer vision.
</li><li>Advanced knowledge of large language models, with experience in implementing LLM-based solutions like conversational AI or text generation models.
</li></ul>Strategic and Analytical Thinking:
<ul><li>Strong ability to identify business needs and translate them into AI-driven solutions, ensuring alignment with organizational goals.
</li></ul>Collaboration and Communication Skills:
<ul><li>Effective at communicating technical information to non-technical stakeholders, ensuring alignment and buy-in for ML initiatives.
</li><li>Excellent collaboration skills to work with cross-functional teams and drive alignment on ML/AI deployment.
</li></ul>Data Preprocessing and Analysis:
<ul><li>Skilled in data preprocessing and transformation, ensuring data readiness for robust and accurate ML modeling.
</li><li>Strong understanding of data architecture, including how data pipelines and ETL processes fit into the larger data ecosystem.
</li></ul>Problem Solving and Adaptability:
<ul><li>Ability to troubleshoot complex ML/AI challenges and adapt to changes in technology or business requirements.
</li>Proactive approach in seeking out and testing new AI technologies and methodologies to stay competitive in the field. 
<li>
</li></ul></div></div> 
<div><div>ORGANISATION STRUCTURE ( WHERE IS THE ROLE LOCATED IN THE HIERARCHY ) 
</div></div> 
<div><div>Please include the titles, grades and numbers of the direct reports.</div></div></div></div></div>

ML Engineer - GCH

Lucidya

<div>The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.
Requirements
<ul><li>Design and optimize machine learning algorithms for specific applications.
</li><li>Manage and preprocess large datasets to extract relevant features for training AI models.</li>
<li>Train machine learning models and evaluate their performance through testing.</li>
<li>Use programming languages (e.g., Python, Java) for AI development.</li>
<li>Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.</li>
<li>Analyze complex problems and propose innovative AI solutions to address business challenges.</li>
<li>Stay updated on the latest advancements in AI and integrate new technologies into existing systems.</li>
<li>Ensure AI applications comply with ethical standards and legal regulations.</li>
<li>Prepare comprehensive documentation for algorithms, models, and processes.</li>
<li>Engage in ongoing learning to stay abreast of emerging technologies and industry trends.</li>
<li>Assist in deploying AI models into production environments, ensuring scalability and efficiency.</li></ul></div>

AI Engineer (Saudi Only)

Optimum Informatics

At Optimum Info, we are continually innovating and developing a range of software solutions empowering the Network Development and Field Operations businesses at Automotive, Power Sports and Equipment industries. Our integrated suite of comprehensive solutions provides a seamless and rich experience to our customers, helping them become more effective at their work and create an impact on the organization.Our sharp cultural focus on outstanding customer service and employee empowerment is core to our growth and success. As a growing company, we offer incredible opportunities for learning and growth with the opportunity to manage high-impact business solution.Position OverviewAn AI Engineer at Optimum Info will understand challenges faced by users of Optimum&rsquo;s solutions and develop machine learning and deep learning models to address the challenges. The engineer will also develop the necessary interfaces to integrate the developed models with business applications.To achieve this, the engineer will acquire a deep understanding of the business, the datasets, and the processes. The engineer will collaborate with other technical teams to deploy developed solutions.As an intern, I will be expected to utilize the internship to diligently learn the technologies and tools used by developers at Optimum Info and acquire competency to assume an AI developer role upon completion of the internship. The intern will work on an assigned project with defined goals, under the guidance of a senior engineer. The goals attained will contribute significantly to an offer of a permanent position at Optimum Info.To qualify for the role of an Intern- AI Developer, a candidate be -Pursuing bachelor's degree in engineering / information technology along with a CGPA of 7.0 and above OR&#8239;a score of 70% and above in qualifying degree.<ul><li>Good Orientation towards and ongoing learning with:</li><li>Python, API development and consumption.</li><li>Understanding of algorithms and the mathematical basis, and oriented towards techniques for evaluating model performance</li></ul>*<ul><li>Understands Machine learning and deep learning libraries for Python</li><li>Understanding of Data extraction and persistence using RDBMS and NoSQL databases</li></ul>*<ul><li>Orientation of Cloud infrastructure and deployment for scale (including containerized deployment)</li><li>Understanding of Agile/SCRUM environment</li><li>Basic knowledge of Configuration management tools like Git, TFS/Azure DevOps, etc.</li></ul><ul><li>Strong analytical and problem-solving skills.</li><li>Ability to work as part of a team.</li><li>Excellent English language skills.</li></ul>Responsibilities of a developer:This list is indicative of the knowledge, skill, and/or ability required. As software development and validation technologies continue to evolve, it is expected that the AI engineer will constantly research, identify and adopt the best tools and practices for ensuring high quality software product releases.<ul><li>Understand given problem statements and analyze related data sets</li><li>Identify solution design options, build models and conduct POCs</li><li>Collect model performance data and compare with benchmarks</li><li>Present effective data visualizations and feasible options along with recommendations to senior management</li><li>Develop integration with business applications</li><li>Collaborate with business analysts, application developers, QA and configuration engineers for integration with Optimum&rsquo;s products, validation and deployments</li><li>Define deployment architectures and estimate infrastructure needs for cloud deployments</li><li>Create technical documentation for work products delivered</li><li>Research new developments in the field and propose how Optimum&rsquo;s products may leverage them to provide added value to users</li></ul>Job Types: Permanent, Fresher, InternshipPay: &#8377;11,741.30 - &#8377;12,000.00 per monthWork Location: In person

AI Engineer Intern

TechFacto

Job Summary:We are looking for a skilled Machine Learning Engineer to design, build, and deploy intelligent models and algorithms that solve real-world problems. The ideal candidate will have strong analytical skills, programming expertise, and a deep understanding of machine learning principles and frameworks.Key Responsibilities:<ul><li>Develop, train, and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).</li><li>Build scalable data pipelines and integrate ML models into production systems.</li><li>Collaborate with data scientists, data engineers, and software developers to deploy solutions.</li><li>Evaluate model performance using appropriate metrics and improve model accuracy.</li><li>Research and implement new algorithms and tools for better efficiency and performance.</li><li>Document processes, models, and results for reproducibility and transparency.</li></ul>Required Skills and Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Experience with data manipulation tools (NumPy, Pandas) and visualization tools (Matplotlib, Seaborn).</li><li>Good understanding of statistics, probability, and linear algebra.</li><li>Experience with model deployment (using Flask, FastAPI, Docker, or cloud platforms like AWS, GCP, Azure).</li><li>Familiarity with version control (Git) and CI/CD pipelines.</li></ul>Preferred Skills:<ul><li>Experience with NLP, Computer Vision, or Generative AI.</li><li>Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).</li><li>Exposure to big data technologies (Spark, Hadoop).</li></ul>Job Types: Full-time, PermanentPay: &#8377;100,000.00 - &#8377;1,500,000.00 per yearWork Location: Remote

ML Engineer

Cognizant Technology Solutions

<div>Job Summary
Join our dynamic team as a Data Scientist where you will leverage your expertise in machine learning and artificial intelligence to drive innovative solutions. You will work closely with cross-functional teams to analyze complex data sets and develop predictive models. Your contributions will directly impact our companys growth and enhance our ability to deliver cutting-edge technology solutions to our clients. 
Responsibilities<ul><li>
Develop and implement machine learning models to solve complex business problems and improve decision-making processes.</li><li>
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.</li><li>
Utilize Azure Open AI Service to enhance the capabilities of AI-enabled chatbots and other applications.</li><li>
Conduct exploratory data analysis (EDA) to identify trends patterns and insights from large datasets.</li><li>
Design and maintain data pipelines using Airflow to ensure efficient data processing and integration.</li><li>
Apply knowledge graph techniques to improve data relationships and enhance search engine optimization.</li><li>
Implement ML Ops practices to streamline the deployment and monitoring of machine learning models.</li><li>
Leverage Cloud AutoML and Dialogflow to develop and optimize conversational AI solutions.</li><li>
Utilize OpenCV for computer vision tasks and enhance image processing capabilities.</li><li>
Apply deep learning techniques using TensorFlow and PyTorch to develop advanced AI models.</li><li>
Utilize R Statistical Package and Python for data analysis and statistical modeling.</li><li>
Collaborate with stakeholders to ensure alignment of AI solutions with business objectives and goals.</li><li>
Continuously explore and evaluate new AI technologies to keep the company at the forefront of innovation.</li><li>
Provide technical guidance and mentorship to junior data scientists and team members.</li></ul> 
Qualifications<ul><li>
</li><li>Possess a strong background in statistics and machine learning with hands-on experience in AI technologies.</li><li>
Demonstrate proficiency in Azure Open AI Service EDA and Airflow for data processing and analysis.</li><li>
Have experience with knowledge graph and ML Ops for efficient model deployment and management.</li><li>
Show expertise in Cloud AutoML Dialogflow and OpenCV for AI application development.</li><li>
Exhibit strong skills in deep learning frameworks such as TensorFlow and PyTorch.</li><li>
Be proficient in R Statistical Package and Python for data analysis and modeling.</li><li>
Have a solid understanding of search engine optimization and its application in AI solutions.</li></ul> 
Certifications Required
Certified Machine Learning Specialist Azure AI Engineer Associate</div>

Data Scientist

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

TAWANTECH

<div><h3 class="jobSectionHeader">Job Purpose:</h3>
We are seeking a Saudi National AI Engineer to design, develop, and implement AI-powered solutions that address complex business challenges. The ideal candidate will have strong technical expertise in machine learning, deep learning, and data engineering, with the ability to work collaboratively in agile teams.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Design, develop, and deploy machine learning and deep learning models to support business needs.
</li><li>Work with large datasets to perform data preprocessing, feature engineering, and model training.
</li><li>Collaborate with data scientists, software engineers, and business stakeholders to define requirements and deliver scalable AI solutions.
</li><li>Optimize AI/ML models for accuracy, performance, and scalability.
</li><li>Build APIs and integrate AI models into existing applications and systems.
</li><li>Stay up-to-date with the latest AI research, frameworks, and technologies, and recommend their application.
</li><li>Document processes, models, and workflows for future reference and audits.
</li><li>Support AI governance, ethics, and compliance requirements.
</li></ul>Requirements<ul>
<li>Saudi National (mandatory).
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
</li><li>3&ndash;5 years of experience in AI, machine learning, or data engineering.
</li><li>Strong programming skills in Python, R, or Java.
</li><li>Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
</li><li>Familiarity with cloud AI platforms (AWS SageMaker, Azure AI, or Google Cloud AI).
</li><li>Solid knowledge of data structures, algorithms, and software engineering principles.
</li><li>Strong analytical, problem-solving, and communication skills.
</li></ul><h3 class="jobSectionHeader">Key Competencies:</h3><ul>
<li>Strong business and technical acumen.
</li><li>Ability to work in cross-functional teams.
</li><li>Commitment to continuous learning and innovation.
</li><li>High attention to detail and quality delivery.</li></ul></div>

AI Engineer (Saudi National Only)

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