285 Machine Learning jobs in Coimbatore

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

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.

Branch OverviewBranch 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 $100 M 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 OverviewBranch 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.ResponsibilitiesCredit 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.Qualifications2+ 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 JoiningMission-driven, fast-paced, and entrepreneurial environmentCompetitive salary and equity packageA collaborative and flat company cultureFully-paid Group Medical Insurance and Personal Accidental InsuranceUnlimited paid time off, including personal leave, bereavement leave, and sick leaveFully paid parental leave — 6 months maternity leave and 3 months paternity leaveMonthly WFH stipend alongside a one-time home office set-up budget$500 Annual professional development budgetTeam meals and social events — Virtual and In-personWe’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.

Hi,

We are hiring for our client, a Semi conductor industry in Coimbatore location.

Machine Learning Engineer:

Experience:1-1.5 years of Experience in Developing End-to-End Machine Learning solutions for Data-driven Decision making.

Skills Required:

Strong programming proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn).

Experience with machine learning frameworks (TensorFlow, PyTorch, Keras).

Solid understanding of statistical modeling, data mining, and machine learning algorithms.

Conduct exploratory data analysis, feature engineering, and model selection.

Develop and implement machine learning models using appropriate algorithms and techniques (e.g., supervised, unsupervised, reinforcement learning).

Deploy and maintain machine learning models in production environments using cloud platforms or on-premises infrastructure.

Monitor model performance, identify areas for improvement, and retrain models as needed.

Knowledge of big data technologies (Hadoop, Spark)

Experience with time series analysis and forecasting.

Conduct A/B testing and experiment with different model architectures and hyperparameters.

Proficiency in data visualization tools (Matplotlib, Seaborn, Tableau, Power BI).

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.

We seek a Machine Learning Engineer colleague to join our world-class client, one of the

biggest 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 of

consultants. In this role, you will be responsible for designing, developing, and deploying machine

learning models and algorithms to solve complex business challenges with Databricks. You will work

closely with data scientists, data engineers, and business stakeholders to build scalable and efficient

machine learning solutions.

Key Responsibilities

● Design and implement machine learning models and algorithms with Databricks, including

predictive analytics, natural language processing, computer vision, and more.

● Lead the end-to-end development process, from data collection and preprocessing to model

deployment and monitoring.

● Collaborate with cross-functional teams to understand business requirements and translate

them into technical solutions.

● Optimize and fine-tune models for performance, accuracy, and scalability in a production

environment.

● Stay up-to-date with the latest advancements in machine learning and AI, and apply them to

improve 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 related

field; PhD 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 understanding

of machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment and

monitoring.

● 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 in

cross-functional teams

About Dexian

• Dexian 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.