135 Predictive Analytics jobs in Kochi

About KeyValue

KeyValue is a product development start-up, building highly scalable web and enterprise class software with a team of engineers specialized in Core Product Development.

We have the single-most vision of being the best product development start-up from India and to reach it, we have a single strategy: That of creating the Best of all Talent Pools and the Best of all Work Environments ever possible!

In our belief, every man is truly the owner of his/her work, his craft and can do the best when each sailor sailing on our ship can see the horizon that we all are sailing towards. For us, the best talents are the open-minded, ever-learning and all-embracing ones. We create, live and code on the cloud.

We are looking for a talented and motivated Machine Learning Engineer to join our growing team. In this role, you will play a key part in designing, developing, and deploying machine learning models to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to bring innovative solutions to life.

What you will do:

• Design, develop, and deploy machine learning models for various applications (e.g., recommendation systems, fraud detection, natural language processing)
• Collaborate with data scientists to understand business requirements, translate them into technical specifications, and select appropriate algorithms
• Prepare and clean data for training and evaluation of machine learning models
• Train, test, and evaluate machine learning models to ensure accuracy, efficiency, and scalability
• Monitor and maintain deployed models in production, and identify opportunities for improvement
• Stay up-to-date on the latest advancements in machine learning research and best practices
• Communicate effectively with technical and non-technical audiences to explain complex concepts

What makes you a great fit ?

• 3-7 years of experience in machine learning engineering
• Proven experience in building and deploying machine learning models
• Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
• Proficiency in Python
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Strong understanding of machine learning algorithms and techniques, as well as LLM architecture and functionalities.
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills

Bonus points:

• Experience with cloud platforms (e.g., AWS, GCP, Azure)
• Experience with MLOps tools and methodologies
• Open-source contributions

If you get to join us, what you get in the process would be invaluable opportunities to solve global problems with your talents and work with some of the most experienced software architects in the Indian IT industry and get mentored by them.

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.We are looking for a highly motivated research consultant who can assist in our research and development efforts on large-scale user engagement predictive models. The ideal candidate should have prior experience in Deep Learning, Natural Language Processing. Key Responsibility:• Developing models to analyze user behavior patterns on OTT platforms and predicting their likelihood of leaving, along with plausible reasons behind their behavior. • Building causal inference–based intervention models aimed at retaining users on the platform. • Contributing to developing and evaluating models (including user engagement foundation model) leveraging pre-trained LLMs. • Work closely with other research scientists, engineers, and product teams fostering a collaborative and intellectually stimulating environment. • Contribute to millions of OTT platform users towards improving their experience by leveraging AI capabilities. • Contribute to the research community by sharing insights and participating in external academic workshops and conferences. Work Location:Remote within India,Duration of the paid contractual role:The annual paid direct contractual tenure is extendable. Ideally this position will start from second week September 2025. The working hours are from 9:00 to 18:00 (Monday to Friday) full-time. Essential Education:Pursuing or completed masters or bachelor’s in computer science or similar background. Must Have Skills & Abilities:A strong background in applied deep learning and machine learning, both in terms of conceptual understanding, as well as practical experience. A good understanding on handling large scale datasets with SQL. Understanding about current start of the art machine learning literature. Prior experience in developing large scale prediction and reasoning models. Strong knowledge and interest in LLMs (fine-tuning, training and using LLMs). Proficiency in hands-on with Python and one or more popular deep learning framework. Ability to envision new ideas and proving them through theory and/or experiments. Knowledge of working on any cloud platform, preferably AWS, is desirable. Good to Have Skills:0-1 year of work experience in building and deploying large-scale predictive models in production. 0-1 year of work experience in LLM/NLP projects within a start-up environment. Good publication record, with publications in major machine learning conferences (e.g. Neur IPS, ICML, KDD, AAAI, SIGIR, Rec Sys, WSDM, ICDM, ECML, etc.).Our Values:Dreams & Curiosity: Pioneer the future with dreams and curiosity.Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

ML Engineer (Remote)Years of Experience : 2+ YearsSkills: AIML and Python Work Mode : RemoteApply NowAbout FirstsourceFirstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: , Reuters: FISO. BO, Bloomberg: FSOL: IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes.Job Summary:As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients.Key Responsibilities:Develop, train, and optimize generative AI models for various applications, including text, image, and audio generation.Collaborate with product managers, software engineers, and data scientists to understand project requirements and deliver robust AI solutions.Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.Document model architecture, training processes, and performance metrics for internal and client-facing reports.Qualifications:Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.Proven experience in developing and deploying generative AI models using frameworks such as Tensor Flow, Py Torch, or similar.Strong programming skills in Python and proficiency with machine learning libraries and tools.Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.Knowledge of data preprocessing, feature engineering, and model evaluation techniques.Excellent problem-solving skills and the ability to work independently and as part of a team.Strong communication skills to effectively convey technical concepts to non-technical stakeholders.Preferred Qualifications:Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.Understanding of ethical considerations and bias mitigation in AI systems.Contributions to open-source projects or publications in relevant conferences/journals.Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels email addresses.

About KeyValue

KeyValue is a product development start-up, building highly scalable web and enterprise class software with a team of engineers specialized in Core Product Development.

We have the single-most vision of being the best product development start-up from India and to reach it, we have a single strategy: That of creating the Best of all Talent Pools and the Best of all Work Environments ever possible!

In our belief, every man is truly the owner of his/her work, his craft and can do the best when each sailor sailing on our ship can see the horizon that we all are sailing towards. For us, the best talents are the open-minded, ever-learning and all-embracing ones. We create, live and code on the cloud.

We are looking for a talented and motivated Machine Learning Engineer to join our growing team. In this role, you will play a key part in designing, developing, and deploying machine learning models to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to bring innovative solutions to life.

What you will do:

• Design, develop, and deploy machine learning models for various applications (e.g., recommendation systems, fraud detection, natural language processing)
• Collaborate with data scientists to understand business requirements, translate them into technical specifications, and select appropriate algorithms
• Prepare and clean data for training and evaluation of machine learning models
• Train, test, and evaluate machine learning models to ensure accuracy, efficiency, and scalability
• Monitor and maintain deployed models in production, and identify opportunities for improvement
• Stay up-to-date on the latest advancements in machine learning research and best practices
• Communicate effectively with technical and non-technical audiences to explain complex concepts

What makes you a great fit ?

• 3-7 years of experience in machine learning engineering
• Proven experience in building and deploying machine learning models
• Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning)
• Proficiency in Python
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Strong understanding of machine learning algorithms and techniques, as well as LLM architecture and functionalities.
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills

Bonus points:

• Experience with cloud platforms (e.g., AWS, GCP, Azure)
• Experience with MLOps tools and methodologies
• Open-source contributions

If you get to join us, what you get in the process would be invaluable opportunities to solve global problems with your talents and work with some of the most experienced software architects in the Indian IT industry and get mentored by them.