510 Machine Learning Engineer 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.

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.

• 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.

Position- Machine Learning Engineer

Experience - 3 to 5 years

Job Location - Pune / Remote

Immediate Joiner Only

Role Overview

The ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount.

Key Experience:

• 3-5 years Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks (e.g., scikit-learn).
• Should have used Python in ML domain to build, train and maintain models.
• Familiarity with AWS services such as Lambda, Glue, CloudWatch, and Bedrock.
• Experience with container workflows (Docker) and model lifecycle management.
• Foundational knowledge of observability practices and model deployment fundamentals.
• Interest or experience in supporting AI systems used by developers or analysts.
• Strong communication and documentation skills with a collaborative team mindset.
• Ability to assume ownership of assignments and consistently meet deadlines.

Responsibilities :

• Deploy and maintain ML and GenAI models using AWS services, including SageMaker, Fargate, and Bedrock.
• Apply prompt engineering techniques to optimize GenAI model performance and reliability.
• Experience with Retrieval-Augmented Generation (RAG) applications is a plus.
• Assist in building and maintaining internal model-serving platforms to support development teams.
• Implement containerized services using Docker and deploy them to AWS infrastructure.
• Write Infrastructure-as-Code (IaC) using Terraform to automate cloud resource provisioning (nice to have ).
• Participate in unit and end-to-end testing of ML pipelines, services, and monitoring workflows.
• Support model monitoring and health tracking using AWS CloudWatch and internal observability tools.
• Document internal systems and operational processes to ensure maintainability and reproducibility.