38 Predictive Analytics jobs in Kochi
Lead Machine Learning Engineer
Posted 2 days ago
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Job Description
- Leading the design, development, and implementation of advanced machine learning models.
- Researching and evaluating new ML techniques and technologies.
- Building and maintaining scalable MLOps infrastructure for model training, deployment, and monitoring.
- Collaborating with data scientists, software engineers, and product managers to integrate ML solutions.
- Mentoring and guiding a team of machine learning engineers, fostering technical growth.
- Defining and tracking key performance indicators for ML models.
- Ensuring the ethical and responsible use of AI and ML technologies.
- Contributing to the overall AI strategy and roadmap.
- Presenting findings and technical solutions to stakeholders.
- Driving innovation in areas such as deep learning, NLP, computer vision, and reinforcement learning.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of hands-on experience in machine learning engineering or data science, with at least 2 years in a leadership role.
- Proven expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
- Strong understanding of statistical modeling, data mining, and predictive analytics.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal abilities, with the capacity to explain complex technical concepts to non-technical audiences.
- Experience in leading and mentoring technical teams.
- Strong understanding of software development best practices.
AI & Machine Learning Lead
Posted 2 days ago
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Job Description
Responsibilities:
- Lead the research, development, and deployment of machine learning models and AI solutions to address critical business challenges.
- Oversee the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
- Mentor and guide a team of AI/ML engineers and data scientists, fostering a collaborative and innovative environment.
- Define the technical strategy and roadmap for AI/ML initiatives, aligning with business objectives.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields, identifying opportunities for application.
- Design and implement scalable and robust ML pipelines and infrastructure.
- Collaborate with product managers, engineers, and stakeholders to understand requirements and translate them into AI solutions.
- Evaluate and select appropriate ML algorithms and tools for various applications.
- Ensure the ethical and responsible development and deployment of AI systems.
- Present findings and technical strategies to both technical and non-technical audiences.
- Contribute to the development of intellectual property and publications in the field of AI.
- Manage project timelines, resources, and deliverables for AI initiatives.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 7+ years of hands-on experience in developing and deploying machine learning models in production.
- Proven experience in leading AI/ML projects and teams.
- Expertise in various ML algorithms (e.g., supervised, unsupervised, deep learning) and their applications.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of data science principles, statistical modeling, and data analysis.
- Excellent leadership, communication, and interpersonal skills.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Ability to translate complex business problems into machine learning solutions.
Senior Machine Learning Engineer
Posted 6 days ago
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Job Description
Responsibilities:
- Design, build, and maintain scalable machine learning systems and pipelines.
- Develop and implement advanced machine learning algorithms and statistical models.
- Perform data preprocessing, feature engineering, and model selection for various AI tasks.
- Train, evaluate, and optimize machine learning models for performance and accuracy.
- Deploy machine learning models into production environments, ensuring robustness and scalability.
- Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Stay current with the latest research and advancements in machine learning, deep learning, and AI.
- Mentor junior engineers, provide technical guidance, and foster a culture of learning and innovation.
- Contribute to the architectural design and technical roadmap of our AI platforms.
- Troubleshoot and resolve issues related to model performance and system deployment.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning models in production.
- Expertise in Python and common ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
- Strong understanding of various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning architectures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for working effectively in a remote team environment.
- Ability to lead technical initiatives and mentor junior team members.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
Machine Learning Engineer - NLP
Posted 10 days ago
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Job Description
Key Responsibilities:
- Design, build, and deploy scalable NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Develop and implement state-of-the-art NLP algorithms and techniques, leveraging deep learning frameworks.
- Process and analyze large volumes of text data, including cleaning, tokenization, and feature engineering.
- Collaborate with product managers and software engineers to integrate NLP models into production systems.
- Evaluate and fine-tune model performance, optimizing for accuracy, efficiency, and robustness.
- Stay abreast of the latest research and advancements in NLP and machine learning.
- Contribute to the development of internal tools and libraries to streamline NLP development workflows.
- Conduct experiments, analyze results, and present findings to technical and non-technical stakeholders.
- Ensure the ethical and responsible development and deployment of NLP technologies.
- Troubleshoot and debug issues related to NLP model performance and implementation.
- Mentor junior engineers and contribute to knowledge sharing within the team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a specialization in NLP.
- Minimum of 5 years of professional experience in machine learning, with a strong focus on NLP development and deployment.
- Proven expertise in developing and implementing various NLP techniques (e.g., RNNs, LSTMs, Transformers, BERT, GPT).
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, spaCy, NLTK, and Hugging Face Transformers.
- Experience with data preprocessing, feature engineering, and model evaluation for text data.
- Strong understanding of machine learning principles, algorithms, and best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to thrive in a fully remote, fast-paced environment.
- Ability to work independently and manage complex projects from conception to completion.
Senior Machine Learning Engineer
Posted 19 days ago
Job Viewed
Job Description
- Designing, developing, and implementing production-ready machine learning models and pipelines.
- Collaborating with data scientists to translate research models into robust, scalable systems.
- Building and maintaining the infrastructure required for training, evaluating, and deploying ML models.
- Implementing MLOps best practices, including CI/CD for ML, model monitoring, and versioning.
- Optimizing ML algorithms and code for performance and efficiency.
- Troubleshooting and debugging complex ML systems in production environments.
- Working with large datasets, ensuring data quality and integrity.
- Contributing to the technical roadmap and strategy for ML initiatives.
- Staying current with advancements in ML technologies and applying them where appropriate.
- Documenting ML processes, models, and systems thoroughly.
- Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field.
- 5+ years of experience in machine learning engineering or a similar role.
- Strong programming skills in Python and experience with ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience in building and deploying ML models into production environments.
- Solid understanding of MLOps principles and tools.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Familiarity with data processing tools and big data technologies (e.g., Spark).
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills, essential for remote collaboration.
- Experience in distributed systems and parallel computing is a plus.
Senior Machine Learning Engineer
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and deploy production-ready machine learning models.
- Build and maintain robust ML pipelines for training and inference.
- Experiment with and implement various ML algorithms and deep learning architectures.
- Optimize model performance, efficiency, and scalability.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Conduct thorough model evaluation and validation.
- Stay up-to-date with the latest advancements in ML and AI research.
- Contribute to code reviews and maintain high-quality software engineering standards.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 6+ years of experience in machine learning engineering or a related role.
- Deep understanding of ML algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Experience with MLOps principles and tools is highly desirable.
- Strong software engineering skills and experience with CI/CD pipelines.
- Excellent problem-solving and analytical abilities.
- Strong communication and collaboration skills.
- Ability to work independently and manage projects effectively in a remote setting.
Senior Data Scientist - Machine Learning
Posted 2 days ago
Job Viewed
Job Description
- Designing, developing, and implementing advanced machine learning models.
- Performing data mining, feature engineering, and data preprocessing.
- Evaluating and validating model performance, ensuring accuracy and robustness.
- Deploying machine learning models into production environments.
- Collaborating with software engineers to integrate ML solutions into existing platforms.
- Identifying opportunities for leveraging data science and ML to solve business challenges.
- Conducting in-depth analysis of large, complex datasets.
- Staying current with the latest advancements in machine learning and AI research.
- Presenting findings and insights to both technical and non-technical stakeholders.
- Mentoring junior data scientists and contributing to team knowledge sharing. The ideal candidate will hold a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong portfolio of machine learning projects. Proven experience in areas such as deep learning, natural language processing, or computer vision is highly desirable. Proficiency in programming languages like Python or R, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) are essential. Excellent problem-solving skills, strong communication abilities, and a passion for data-driven innovation are required. Join us in **Kochi, Kerala, IN** to push the boundaries of what's possible with AI.
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Lead Machine Learning Engineer (Remote)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Lead the end-to-end development lifecycle of machine learning models, from data gathering and preprocessing to model training, evaluation, and deployment.
- Design and implement scalable and robust ML systems for production environments.
- Develop and maintain machine learning pipelines and infrastructure.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and deliver impactful solutions.
- Mentor and guide junior ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research and evaluate new machine learning algorithms, techniques, and technologies to improve model performance and efficiency.
- Optimize models for performance, scalability, and cost-effectiveness.
- Develop and implement strategies for model monitoring, retraining, and A/B testing.
- Ensure the ethical and responsible use of AI and machine learning principles.
- Contribute to the company's intellectual property through patents and publications.
- Master's or Ph.D. in Computer Science, Statistics, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of hands-on experience in machine learning engineering and building production-level ML systems.
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of deep learning, natural language processing (NLP), computer vision, or other ML subfields.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Excellent knowledge of data structures, algorithms, and software design principles.
- Proven ability to lead technical projects and mentor engineering teams.
- Exceptional problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
Senior Machine Learning Engineer (NLP)
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement NLP models for various applications.
- Process and analyze large volumes of text data.
- Train, evaluate, and fine-tune machine learning models.
- Integrate NLP solutions into production environments.
- Collaborate with cross-functional teams to define project requirements.
- Stay current with the latest research and advancements in NLP and ML.
- Optimize model performance and scalability.
- Contribute to the development of internal NLP tools and frameworks.
- Document research, methodologies, and results.
- Mentor junior engineers and contribute to knowledge sharing.
- Master's or Ph.D. in Computer Science, AI, or a related quantitative field.
- Minimum of 5 years of experience in machine learning, with a focus on NLP.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong experience with NLP libraries and tools.
- Solid understanding of NLP concepts (e.g., transformers, embeddings, sequence modeling).
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
AI Research Scientist - Machine Learning
Posted 5 days ago
Job Viewed
Job Description
- Conduct advanced research in machine learning, deep learning, computer vision, natural language processing, or other AI domains.
- Design, implement, and evaluate novel algorithms and models for various applications.
- Develop and maintain high-quality code in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Collaborate with cross-functional teams to integrate AI models into products and services.
- Stay abreast of the latest advancements in AI and machine learning research and apply them to practical problems.
- Analyze large datasets, identify patterns, and extract meaningful insights.
- Publish research findings in top-tier conferences and journals.
- Contribute to intellectual property development through patents.
- Mentor junior researchers and engineers.
- Present research results and project progress to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Proven track record of research and publications in reputable AI/ML venues.
- Strong theoretical understanding of machine learning algorithms, statistical modeling, and optimization techniques.
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and proficiency in Python.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex technical concepts effectively.
- Ability to work independently and collaboratively in a research-oriented, hybrid environment.
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads is desirable.
- A passion for pushing the boundaries of AI and its applications.