job listing: Software Jobs

  • Machine Learning job at Comcast

    Machine Learning job at Comcast

    📝 Job Description:
    Comcast is hiring an Engineer 3, Machine Learning in Chennai to design, develop, and deploy cutting-edge machine learning models that enhance personalization, search relevance, and customer engagement across its digital platforms. This role offers the opportunity to work on large-scale datasets, collaborate with global engineering teams, and deliver production-ready ML solutions that impact millions of users worldwide.

    The ideal candidate should have 5–7 years of experience in developing, optimizing, and deploying ML models, with strong proficiency in Python, TensorFlow, and PyTorch.

    Key Responsibilities:

    🤖 Model Development & Optimization:

    • Design, train, and evaluate ML models for personalized ranking, search, and recommendation systems.
    • Translate business problems into machine learning solutions using modern frameworks and scalable data pipelines.
    • Ensure models are accurate, reliable, and optimized for performance in production environments.

    📊 Data Analysis & Experimentation:

    • Analyze massive behavioral and product datasets to generate actionable insights.
    • Develop and test hypotheses using A/B experiments to measure personalization impact.
    • Partner with product and analytics teams to refine data-driven decision-making.

    🚀 Production Integration & Collaboration:

    • Collaborate with software engineers to deploy ML models into live systems with robustness and scalability in mind.
    • Monitor model performance, retraining, and automation using MLflow and Airflow.
    • Contribute to reusable pipelines and workflow automation for end-to-end ML delivery.

    💡 Cross-Functional Partnership:

    • Work with product managers, UX designers, and data scientists to align ML initiatives with user experience goals.
    • Mentor junior engineers and foster a culture of experimentation and learning.
    • Participate in brainstorming sessions to explore new personalization strategies and algorithms.

    🧠 Tech Stack:

    • Programming: Python
    • Frameworks: PyTorch, TensorFlow
    • Data Processing: Pandas, Apache Spark
    • ML Tools: MLflow, Apache Airflow
    • Version Control: Git
    • Algorithms: Supervised/unsupervised learning, ranking algorithms, generative models, basic statistics
    • Additional: A/B testing, production deployment, data-driven experimentation

    📊 Experience Needed:
    5 – 7 years of experience in Machine Learning or Data Science roles

    💰 Salary:
    20L – 21L per annum

    📅 Job Posted On:
    16 Sep 2025

    Apply Before:
    Not mentioned

    🏢 Job Type:
    Full Time, On-site

    📍 Location:
    Chennai, Tamil Nadu

    💡 Skills Needed:

    • Strong programming skills in Python and data frameworks (TensorFlow, PyTorch, Spark)
    • Deep understanding of ML algorithms and model lifecycle management
    • Experience deploying models in production environments
    • Familiarity with A/B testing and experimental design
    • Strong analytical thinking, communication, and teamwork abilities

    🎓 Qualifications:

    • Bachelor’s degree in Computer Science, Data Science, or a related field
    • Equivalent combination of education and hands-on ML experience may be considered
  • Artificial Intelligence Engineer job at Valeo

    Artificial Intelligence Engineer job at Valeo

    📝 Job Description:
    Valeo is hiring an Artificial Intelligence Engineer in Chennai to research, develop, and deploy next-generation AI algorithms for autonomous driving. This role focuses on deep learning, computer vision, and embedded AI to power intelligent, safe, and sustainable automotive systems.

    The ideal candidate should have 2–5 years of experience in AI or deep learning model development with strong expertise in Python, computer vision frameworks, and real-time system optimization.

    Key Responsibilities:

    🤖 AI Research & Algorithm Development:

    • Research, develop, benchmark, and document state-of-the-art algorithms for autonomous driving and ADAS systems.
    • Work on computer vision and deep learning models such as YOLO, UNet, and DeepLab for object detection and semantic segmentation.
    • Evaluate emerging AI techniques and integrate them into Valeo’s AI-driven automotive solutions.
    • Participate in design reviews and contribute to building scalable and efficient algorithmic frameworks.

    💻 Implementation & Optimization:

    • Develop and optimize algorithms for deployment on embedded and real-time automotive platforms.
    • Maintain high performance and accuracy under strict hardware constraints.
    • Identify inefficiencies in existing algorithms and propose process improvements.
    • Maintain structured documentation for all models and research outputs.

    📈 Collaboration & Knowledge Sharing:

    • Collaborate with cross-functional R&D and engineering teams to integrate AI models into production systems.
    • Conduct internal training sessions to share domain expertise in AI and computer vision.
    • Represent Valeo at AI industry events, conferences, and technical communities.

    🌍 Innovation & IP Contribution:

    • Support intellectual property activities through research documentation and invention disclosures.
    • Contribute to patent applications and explore new algorithmic opportunities.
    • Stay up to date with developments in transformers, multi-modal models, and optimization techniques.

    📊 Experience Needed:
    2 – 5 years of experience in AI, Deep Learning, or Computer Vision development.

    💰 Salary:
    18L – 26L per annum

    📅 Job Posted On:
    16 Oct 2025

    Apply Before:
    01 Dec 2025

    🏢 Job Type:
    Full Time, On-site

    📍 Location:
    Chennai, Tamil Nadu

    💡 Skills Needed:

    • Strong knowledge of Deep Learning and Computer Vision concepts
    • Expertise in Python and frameworks such as PyTorch or TensorFlow
    • Experience with object detection (YOLO, Faster R-CNN) and semantic segmentation models
    • Familiarity with Git, bash scripting, and automation workflows
    • Excellent problem-solving, debugging, and communication skills

    🎓 Qualifications:

    • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
    • Experience deploying AI models in robotics, automotive, or embedded systems preferred
    • Research contributions to conferences such as CVPR, ICCV, or NeurIPS are a plus