49 Machine Learning Engineer jobs in Kochi
Lead Machine Learning Engineer
682037 Kochi, Kerala
₹1500000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is looking for a talented and visionary Lead Machine Learning Engineer to build and scale our cutting-edge AI initiatives. This is a fully remote position, offering the opportunity to work from anywhere within India, with a strong emphasis on collaboration through digital platforms. You will be at the forefront of developing and deploying sophisticated machine learning models that drive innovation and enhance our product offerings. This role requires a deep understanding of ML algorithms, statistical modeling, and data science best practices, combined with strong leadership and communication skills. You will guide a team of talented ML engineers, foster a culture of continuous learning, and architect robust MLOps pipelines. Your work will directly impact the strategic direction of our AI research and development. Responsibilities include:
- 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.
This advertiser has chosen not to accept applicants from your region.
0
Senior Machine Learning Engineer
682001 Kochi, Kerala
₹1500000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is a leader in AI innovation and is seeking a highly skilled Senior Machine Learning Engineer to join their globally distributed, remote-first engineering team. This role is central to the development and deployment of cutting-edge AI models and solutions that power next-generation technologies. You will work on challenging problems, from data preprocessing and feature engineering to model training, evaluation, and deployment at scale. As a senior member of the team, you will also mentor junior engineers, contribute to architectural decisions, and drive best practices in machine learning development. This position requires a deep understanding of ML algorithms, statistical modeling, and proficiency in programming languages commonly used in AI development.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Engineer - NLP
682001 Kochi, Kerala
₹1800000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a highly skilled and motivated Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their fully remote team. This role is critical in developing and deploying advanced NLP models that power cutting-edge applications and enhance user experiences. As a remote-first professional, you will collaborate with a world-class team of AI researchers and engineers, pushing the boundaries of what's possible in language understanding and generation. You will have the opportunity to work on challenging projects involving large-scale data, complex algorithms, and the practical application of AI to solve business problems.
Key Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
2
Senior Machine Learning Engineer
682001 Kochi, Kerala
₹2200000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and motivated Senior Machine Learning Engineer to join their innovative, fully remote team. This role is perfect for an individual passionate about building and deploying scalable machine learning solutions that drive real-world impact. You will work on challenging problems, from model development and training to deployment and monitoring, collaborating closely with data scientists and software engineers. This is a remote-first position, offering flexibility and the opportunity to work with a diverse, global talent pool. Responsibilities include:
- 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.
This advertiser has chosen not to accept applicants from your region.
3
Senior Machine Learning Engineer
682001 Kochi, Kerala
₹140000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Machine Learning Engineer to join their innovative team. This is a fully remote position, allowing you to contribute to cutting-edge AI projects from anywhere. You will play a pivotal role in designing, developing, and deploying machine learning models and systems that drive significant business value. The ideal candidate possesses a strong foundation in machine learning algorithms, deep learning frameworks, programming, and software engineering best practices. Key responsibilities include conceptualizing and building ML pipelines, training and evaluating models, optimizing model performance, and deploying them into production environments. You will collaborate closely with data scientists, software engineers, and product managers to translate business needs into effective ML solutions. This remote role demands exceptional analytical, problem-solving, and communication skills, along with the ability to work independently and manage complex projects effectively. We are looking for a proactive and results-oriented individual with a proven track record of delivering successful ML applications. Your expertise in building scalable and robust ML systems will be crucial for our continued success. This is an exciting opportunity to work on challenging AI problems, influence the direction of our ML initiatives, and make a tangible impact on our products and services, all within the flexibility of a remote setting. You will have the autonomy to explore novel approaches and contribute to state-of-the-art AI development. The successful candidate will be a visionary engineer committed to leveraging ML for innovation and solving real-world problems.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
4
Lead Machine Learning Engineer (Remote)
682001 Kochi, Kerala
₹150000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a pioneering technology firm at the forefront of artificial intelligence and data science, is seeking an exceptional Lead Machine Learning Engineer to join their globally distributed team. This fully remote role offers the opportunity to shape the future of our AI-driven products and services by leading the design, development, and deployment of cutting-edge machine learning models. The ideal candidate will possess extensive experience in ML engineering, a deep understanding of statistical modeling, and a passion for solving complex problems with data.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
5
Senior Machine Learning Engineer (NLP)
682001 Kochi, Kerala
₹1300000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative team in Kochi, Kerala, IN . This role is central to developing and deploying cutting-edge NLP solutions that enhance our products and services. You will be responsible for designing, building, and maintaining robust ML models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong portfolio of NLP projects. Expertise in Python and deep learning frameworks like TensorFlow or PyTorch is essential, along with a solid understanding of NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers. You will work with large text datasets, preprocess data, train models, and evaluate their performance rigorously. Collaboration with data scientists, software engineers, and product managers to integrate NLP capabilities into production systems is a key aspect of this role. We are looking for individuals who are passionate about NLP, possess strong analytical and problem-solving skills, and are eager to contribute to advancements in artificial intelligence. This is an exciting opportunity to work on challenging problems and shape the future of AI-driven language understanding.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Machine learning engineer Jobs in Kochi !
6
Lead Machine Learning Engineer (Remote)
682001 Kochi, Kerala
₹140000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and innovative Lead Machine Learning Engineer to spearhead their advanced AI initiatives. This is a fully remote position, empowering you to contribute to cutting-edge projects from anywhere in the world. You will be responsible for designing, developing, and deploying robust and scalable machine learning models and systems that drive significant business value. The ideal candidate will possess a deep understanding of various ML algorithms, statistical modeling, data preprocessing techniques, and MLOps principles. You will lead a team of talented ML engineers, guiding them through the entire ML lifecycle, from data exploration and feature engineering to model training, evaluation, and production deployment. This role demands strong technical leadership, exceptional problem-solving skills, and a passion for translating complex data into actionable insights. Responsibilities include architecting ML pipelines, selecting appropriate tools and technologies, optimizing model performance, and ensuring the reliability and scalability of deployed solutions. You will collaborate closely with data scientists, software engineers, and product managers to identify opportunities for AI-driven innovation and integrate ML capabilities into our products and services. The successful candidate will stay at the forefront of ML research and development, exploring new techniques and advocating for best practices in model development and deployment. This is an unparalleled opportunity to shape the future of AI within our organization and mentor a high-performing engineering team.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of scalable machine learning models and systems.
- Mentor and guide a team of machine learning engineers, fostering a culture of innovation and technical excellence.
- Architect and build robust ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with data scientists and product managers to define ML project requirements and roadmaps.
- Evaluate and select appropriate ML algorithms, frameworks, and tools for various use cases.
- Optimize model performance and efficiency through rigorous testing and experimentation.
- Implement and champion MLOps best practices for continuous integration, delivery, and monitoring of ML models.
- Stay current with advancements in machine learning, deep learning, and AI research.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering or data science, with a proven track record of leading ML projects.
- Deep understanding of ML algorithms, statistical modeling, and experimental design.
- Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with MLOps practices and tools (e.g., MLflow, Kubeflow).
- Experience with cloud ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Knowledge of big data technologies (e.g., Spark) and distributed computing is a plus.
- Excellent leadership, communication, and interpersonal skills.
- Ability to effectively manage and mentor a technical team in a remote setting.
- Strong problem-solving and analytical abilities.
This advertiser has chosen not to accept applicants from your region.
7
Lead Machine Learning Engineer - NLP
682001 Kochi, Kerala
₹2000000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their pioneering team. This is a fully remote position, offering an unparalleled opportunity to work on cutting-edge AI projects from anywhere in the world. The ideal candidate will possess a Master's or Ph.D. in Computer Science, AI, or a related quantitative field, coupled with extensive experience in developing and deploying production-ready NLP models. You will lead a team in building advanced language understanding systems, text generation models, sentiment analysis tools, and conversational AI agents. This role demands a deep understanding of deep learning architectures (e.g., Transformers, RNNs, LSTMs), NLP techniques, and proficiency in Python, with hands-on experience using frameworks like TensorFlow, PyTorch, and libraries such as NLTK, spaCy, and Hugging Face. You will be instrumental in translating complex NLP research into scalable and robust software solutions.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design, development, and deployment of production-level NLP models and applications.
- Mentor and guide a team of talented machine learning engineers and data scientists.
- Architect and implement scalable machine learning pipelines for NLP tasks, including text classification, named entity recognition, machine translation, and question answering.
- Develop and fine-tune state-of-the-art deep learning models for NLP, such as Transformers (BERT, GPT variants) and recurrent neural networks.
- Collaborate with product managers and software engineers to integrate NLP solutions into user-facing products.
- Conduct rigorous experimentation and evaluation of NLP models.
- Stay abreast of the latest research and advancements in NLP and machine learning.
- Contribute to the development of internal tools and libraries to streamline ML workflows.
- Ensure the quality, performance, and reliability of deployed ML systems.
- Champion best practices in MLOps and responsible AI development.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- 5+ years of hands-on experience in machine learning engineering, with a strong focus on NLP.
- Proven experience in developing and deploying NLP models in a production environment.
- Expertise in Python and machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
- Deep understanding of NLP techniques, algorithms, and modern deep learning architectures.
- Proficiency with NLP libraries such as Hugging Face Transformers, NLTK, spaCy.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Excellent problem-solving, analytical, and communication skills.
- Ability to lead technical projects and mentor team members.
- This is a fully remote role, requiring strong self-discipline and excellent remote collaboration skills.
This advertiser has chosen not to accept applicants from your region.
8
Lead AI Engineer - Machine Learning
682001 Kochi, Kerala
₹130000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and forward-thinking Lead AI Engineer with expertise in Machine Learning to join their pioneering team, working entirely remotely. This critical role will lead the design, development, and deployment of cutting-edge artificial intelligence solutions that drive innovation and business growth. You will be instrumental in architecting sophisticated machine learning models, implementing deep learning frameworks, and leveraging large datasets to extract actionable insights. The Lead AI Engineer will guide the full lifecycle of AI projects, from problem definition and data acquisition to model training, validation, and production deployment. This position demands a profound understanding of various ML algorithms, statistical modeling, and data mining techniques. Experience with cloud platforms (AWS, Azure, GCP) and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn) is essential. You will collaborate closely with data scientists, software engineers, and product managers to translate complex business requirements into robust AI solutions. The ideal candidate will possess exceptional problem-solving abilities, strong programming skills (Python preferred), and a passion for staying at the forefront of AI research and development. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 7-10 years of experience in AI/ML development and engineering. Proven experience in leading technical teams and delivering successful AI-driven products is highly desirable. This fully remote role offers the unique opportunity to shape the future of AI and emerging technologies from anywhere.
This advertiser has chosen not to accept applicants from your region.
9