373 Machine Learning 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.

We seek a Machine Learning Engineer colleague to join our world-class client, one of thebiggest and most advanced IT company.• Remote work• Employment/Contract Type: Contract• Location: India• Duration: 1 year (with potential to be extended)• Hours per Week: 40 (Full-time)Description:We are seeking an experienced Machine Learning Engineer to join our growing team ofconsultants. In this role, you will be responsible for designing, developing, and deploying machinelearning models and algorithms to solve complex business challenges with Databricks. You will workclosely with data scientists, data engineers, and business stakeholders to build scalable and efficientmachine learning solutions.Key Responsibilities● Design and implement machine learning models and algorithms with Databricks, includingpredictive analytics, natural language processing, computer vision, and more.● Lead the end-to-end development process, from data collection and preprocessing to modeldeployment and monitoring.● Collaborate with cross-functional teams to understand business requirements and translatethem into technical solutions.● Optimize and fine-tune models for performance, accuracy, and scalability in a productionenvironment.● Stay up-to-date with the latest advancements in machine learning and AI, and apply them toimprove existing systems.● Contribute to the development of machine learning infrastructure, including data pipelines,model serving frameworks, and monitoring tools.● Collaborate with client stakeholders to drive solutions to solve business problems.Qualifications● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a relatedfield; Ph D is a plus.● 3+ years of experience in machine learning engineering or related fields.● 2+ years of experience with Databricks● Proficiency in programming languages such as Python, R, or Java, with a strong understandingof machine learning libraries and frameworks (e.g., Tensor Flow, Py Torch, scikit-learn).● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment andmonitoring.● Strong problem-solving skills and ability to work in a fast-paced environment.● Excellent communication and collaboration skills, with a track record of working effectively incross-functional teamsAbout DexianDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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.

Machine Learning EngineerAbout Astreya:Astreya offers comprehensive IT support and managed services. These services include DataCenter and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, andIT Asset Management), as well as Next-Gen Digital Engineering services encompassing SoftwareEngineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creatingseamless interactions between people and technology to help organizations achieve operationalexcellence and growth.Responsibilities:Design, develop, and deploy machine learning models and algorithms to solve complex business problems and drive data-driven decision makingCollaborate with cross-functional teams including data engineers, software engineers, and business stakeholders to understand requirements and translate business objectives into scalable ML solutionsBuild and maintain robust ML pipelines for data preprocessing, feature engineering, model training, validation, and deploymentOptimize model performance through hyperparameter tuning, feature selection, and algorithmic improvementsImplement MLOps best practices including model versioning, monitoring, and automated retraining workflowsEnsure data quality, integrity, and security throughout the ML lifecycleScale ML systems to handle large datasets and high-throughput inference requirementsConduct A/B testing and experimentation to validate model performance and business impactMonitor deployed models for drift, performance degradation, and bias detectionCreate comprehensive documentation including technical specifications, model cards, and deployment guides for stakeholdersProfessional & Technical Skills:Must have strong proficiency in Python and experience with core ML libraries such as scikit-learn, XGBoost, Light GBM, and Cat BoostMust have hands-on experience with deep learning frameworks including Tensor Flow, Py TorchMust have solid understanding of machine learning algorithms, statistical methods, and model evaluation techniquesMust have experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies Docker or KubernetesNeed to have proficiency in SQL and experience working with both structured and unstructured datasetsNeed to have knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworksMust be familiar with MLOps tools and platforms such as MLflow, Kubeflow, or similar model lifecycle management systemsMust have experience with version control systems (Git) and CI/CD pipelines for ML workflowsNeed to have knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, Plotly, or TableauMust be familiar with software engineering best practices, including code testing, debugging, and performance optimizationNeed to have understanding of software development methodologies such as Agile or ScrumPossess excellent analytical and problem-solving skills with ability to work independently and in team environmentsAdditional Information:Must have Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative fieldPreferred 3+ years of experience in machine learning engineering or related rolesPreferred experience with real-time inference systems and model serving architecturesPreferred knowledge of specialized domains such as computer vision, natural language processing, or recommendation systems

• Design, build, train, and deploy machine learning models and algorithms.
• Develop and maintain robust data pipelines for model training and inference.
• Collaborate with data scientists to translate research findings into production-ready code.
• Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.
• Optimize model performance for accuracy, scalability, and efficiency.
• Stay current with the latest advancements in machine learning, deep learning, and related fields.
• Write clean, well-documented, and maintainable code.
• Troubleshoot and resolve issues related to model deployment and performance.
• Contribute to the team's knowledge base and participate in code reviews.
• Work closely with product managers to understand business requirements and integrate ML solutions.

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
• Proven experience (5+ years) in machine learning engineering or a similar role.
• Proficiency in Python and relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Solid understanding of statistical modeling, algorithms, and data structures.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication skills and ability to work effectively in a remote, collaborative environment.
• Experience with natural language processing (NLP) or computer vision is highly desirable.

Branch Overview

Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.

Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.

We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.

Job Overview

Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.

Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Responsibilities

• Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
• Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.
• Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
• Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.

Qualifications

• 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
• Excellent software engineering and programming skills, especially Python and SQL.
• A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
• A deep understanding of using cloud computing infrastructure and data pipelines in production.
• Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
• Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
• The drive to make a positive impact on customers' lives.

Benefits of Joining

• Mission-driven, fast-paced, and entrepreneurial environment
• Competitive salary and equity package
• A collaborative and flat company culture
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off, including personal leave, bereavement leave, and sick leave
• Fully paid parental leave — 6 months maternity leave and 3 months paternity leave
• Monthly WFH stipend alongside a one-time home office set-up budget
• $500 Annual professional development budget
• Team meals and social events — Virtual and In-person

We’re looking for more than just qualifications -- if you’re unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply!

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

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.