ml model developer

Code Graphers

Key ResponsibilitiesModel Development &amp; Implementation<ul><li>Design, train, and fine-tune machine learning and deep learning models for NLP, computer vision, and predictive analytics tasks.</li><li>Work with frameworks like TensorFlow, PyTorch, and Scikit-learn for building and deploying ML models.</li><li>Assist in developing RAG (Retrieval Augmented Generation) pipelines and LLM-based applications under senior supervision.</li><li>Implement and maintain APIs using frameworks like FastAPI, Flask, or Django for ML model integration.</li></ul>Data Handling &amp; Preprocessing<ul><li>Perform data cleaning, feature extraction, and transformation for model readiness.</li><li>Contribute to building and maintaining data pipelines for training and inference stages.</li></ul>Deployment &amp; MLOps<ul><li>Containerize ML solutions using Docker and participate in deploying models to production environments.</li><li>Support MLOps workflows, version control using DVC, and CI/CD pipelines for continuous delivery.</li></ul>Research &amp; Collaboration<ul><li>Stay updated with the latest trends in AI, LLMs, and computer vision.</li><li>Collaborate with cross-functional teams, data engineers, and senior ML engineers to ensure robust system integration.</li><li>Document workflows, experiments, and technical findings clearly.</li></ul>QualificationsEducation:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.</li></ul>Experience:<ul><li>2&ndash;3 years of hands-on experience in machine learning model development and deployment.</li><li>Strong understanding of fundamental ML algorithms and their mathematical background.</li><li>Exposure to NLP, Computer Vision, or LLM-based systems is preferred.</li></ul>Technical Skills:<ul><li>Proficient in Python and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Knowledge of LLMs, LangChain, or RAG frameworks is a plus.</li><li>Experience with RESTful APIs and backend integration.</li><li>Familiarity with Git, Docker, and cloud platforms (AWS, GCP, or Azure).</li></ul>Nice to Have<ul><li>Experience with LoRA, QLoRA, or model fine-tuning techniques.</li><li>Familiarity with image classification, object detection, or segmentation tasks.</li><li>Exposure to auto-scaling, model optimization, or embedded ML applications.</li><li>Interest in learning advanced AI concepts like multi-agent systems, meta-learning, and generative AI.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Did you have experience with Computer vision, LLM, nlp and Audio?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Machine Learning Engineer

Devsinc

<div>
 Application &amp; Model Development:
 
 
 Design, develop, and deploy Python-based applications and AI/ML models.
 
 
 Data Handling:
 
 
 Collect, clean, and preprocess structured and unstructured data for model training.
 
 
 Model Training &amp; Evaluation:
 
 
 Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
 
 
 API Integration:
 
 
 Create and integrate APIs for serving ML models into applications or web services.
 
 
 Research &amp; Innovation:
 
 
 Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency.
 
 
 Automation &amp; Scripting:
 
 
 Develop automation scripts and data pipelines to support AI workflows.
 
 
 Collaboration:
 
 
 Work with data engineers, developers, and product teams for end-to-end solution delivery.
 
 
 Version Control &amp; Documentation:
 
 
 Maintain clean code, version control (Git), and project documentation.
 
 
 Testing &amp; Deployment:
 
 
 Test models, deploy to production, and monitor performance using cloud or on-prem setups.
 
 
 Continuous Learning:
 
 
 Explore emerging AI/ML technologies and contribute to innovation projects.
 
 
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
 
 
 Develop Python-based AI/ML apps &amp; models
 
 
 Preprocess &amp; analyze data
 
 
 Train, test, and evaluate models
 
 
 Build &amp; integrate APIs for ML services
 
 
 Use TensorFlow, PyTorch, Scikit-learn
 
 
 Create automation scripts &amp; data pipelines
 
 
 Collaborate across teams for deployment
 
 
 Maintain code, versioning, and documentation
 
 
 Deploy &amp; monitor ML solutions
 
 
 Keep learning new AI/ML tools &amp; methods
</div>

Associate Software Engineer -Python/AI/ML

GE Vernova

<div><h1 class="jobSectionHeader">Job Description Summary</h1>
GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? 
We are looking for a passionate, creative, and results-driven Data Scientist with solid experience in developing and validating AI/ML models, typically gained through at least 5 years working within the energy sector or related domains such as smart infrastructure or industrial automation. The ideal candidate has a strong track record of independently leading and delivering AI/ML model projects in complex, data-rich environments, requiring someone who can drive innovation from concept to production. 
 
As part of the Grid Automation organization, you will be at the forefront of developing, testing, and validating cutting-edge AI/ML models specifically designed for grid innovation applications. You will play a key role in designing and building robust validation frameworks that ensure AI/ML solutions meet stringent accuracy, performance, and operational standards across both edge and cloud environments.<h1 class="jobSectionHeader">
Job Description</h1>
Essential Responsibilities:<ul><li>
Design and conduct experiments to develop, test and validate AI/ML models in the context of energy systems and grid automation applications (including model selection, design, tuning, testing, refining, validation, optimization and deployment).</li><li>
Establish clear validation frameworks to ensure models meet required performance standards and business objectives.</li><li>
Establish test procedures to validate models with real and simulated grid data.</li><li>
Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance.</li><li>
Implement automated testing strategies and pipelines to streamline model validation processes.</li><li>
Responsible for exploratory data analysis (EDA), reporting and visualization of results.</li><li>
Lead project stakeholder workshops to shape scope, designs and outcomes to ensure project vision becomes reality.</li><li>
Collaborate with Application Architects, Data Engineers, ML Engineers and MLOps Engineers to improve data quality, enhance model performance, and ensure efficient deployment of validated models.</li><li>
Ensure data adheres to data governance policies and industry standards.</li><li>
Communicate validation results, insights, and recommendations clearly to stakeholders, including product managers and leadership teams.</li><li>
Build necessary understanding and expertise to design and develop product features and applications such as Protection, Control, Monitoring and Communication</li></ul>
Must-Have Requirements<ul><li>
PhD, Master&rsquo;s, or Bachelor&rsquo;s degree in Data Science, Computer Science, Electrical Engineering, or a related field with hands-on experience in model development and validation.</li><li>
Proven experience in the energy, smart infrastructure, or industrial automation sectors, with deep expertise in system protection, automation, monitoring, and diagnostics, typically acquired through a minimum of 5 years within a multinational manufacturing company.</li><li>
Substantial experience in building and validating AI/ML models, ensuring they meet business and technical requirements.</li><li>
Strong knowledge of statistical techniques, model technologies, performance metrics, and validation methodologies for AI/ML models.</li><li>
Proficiency in programming languages such as Python, R, or MATLAB.</li><li>
Experience with data wrangling, feature engineering, and preparing datasets for model development.</li><li>
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and model evaluation techniques.</li><li>
Experience in exploratory data analysis (EDA), delivering actionable insights from data and data storytelling.</li><li>
Experience with cloud platforms (e.g., AWS, Azure, GCP) and deployment of models in cloud environments.</li><li>
Proficiency with data visualization tools and libraries such as Tableau, Power BI, or similar (matplotlib, bokeh, seaborn) to effectively present results and insights.</li></ul>
Nice-to-Have Requirements:<ul><li>
Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark.</li><li>
Familiarity with data governance frameworks and validation standards in the energy sector.</li><li>
Knowledge of distributed computing environments and model deployment at scale.</li><li>
Strong communication skills, with the ability to clearly explain complex validation results to non-technical stakeholders.</li></ul><h1 class="jobSectionHeader">
Additional Information</h1><div><div><div><div><div><div><div>
Relocation Assistance Provided: Yes</div></div></div></div></div></div></div></div>

Data Scientist

NAFFCO FZCO

Job Purpose:To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions. <h3>Key Responsibilities:</h3>· AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.· Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.· System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.· Model Training– Prepare data, select algorithms, and train models with high accuracy and scalability.· Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).· Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements. <h3>Qualifications & Skills:</h3>· Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.· Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).· Proven hands-on experience in ML model training and production deployment.· Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).· Experience in data engineering & API integration.· Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).<h3>Key Competencies:</h3>· End-to-end ownership of ML model lifecycle.· Strong analytical and problem-solving skills.· Ability to bridge technical solutions with business impact.

AI Module Development Engineer – IoT & Digital Platforms

Antons

Key Responsibilities 
<ul>
<li>
 ML Pipeline Engineering: Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.
</li>
<li>
 Model Development: Develop and optimize ML models, particularly for healthcare predictive analytics.
</li>
<li>
 Integration: Embed ML models into KPI-driven data processing and analytics workflows.
</li>
<li>
 Model Lifecycle Management: Implement model monitoring, drift detection, retraining, and continuous improvement strategies.
</li>
<li>
 Collaboration: Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.
</li>
</ul>

Senior Data Science Engineer

Virtusa Lifespaces India Pvt Ltd

<div>3+ years of experience working as data scientist using Python
 
Engineering with GenAI solutions, including large language models. Ability to fine-tune models and utilise services like Langchain.
 
Knowledge of ML model architectures and algorithms
 
Expertise in model development, integration, and optimization.
 
Ability to design, implement, and evaluate machine learning algorithms (classification, regression, clustering, etc.) and optimise their performance for production environments. 
<div>
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

Data Science

eClerx

<div>Roles and Responsibilities
<ul><li>Industrial experience of developing Gen AI / ML models and experience in Agentic AI development
</li><li>Experience of software development in python programming language
</li><li>Working knowledge of standard software engineering practices like version control, debugging, code coverage etc
</li><li>Research and develop statistical learning models for data analysis
</li><li>Collaborate with product management and engineering departments
</li><li>Understand life-cycle of model development from initiation till production deployment
</li><li>Processing, cleansing, and validating the integrity of data to be used for analysis
</li><li>Analyzing large amounts of information to find patterns and solutions
</li><li>Presenting results in a clear manner
</li><li>Propose solutions and strategies to tackle business challenges
</li></ul>Skills &amp; Qualifications
<ul><li>B.E/ B. Tech in computer science or MCA or equivalent
</li><li>Good understanding of data structure and algorithms
</li><li>Proven Experience as Data Scientist.
</li><li>4+ years of experience in data science
</li><li>Excellent programming skills in Python (mandatory)
</li><li>Good practical exposure of writing database query languages like SQL
</li><li>Good applied statistical skills
</li><li>Advanced pattern recognition and predictive modeling experience.
</li><li>Working experience of either text/image/video analytics
</li>Excellent Communication Skills. 
<li>
</li></ul>About eClerx
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. 
About eClerx Digital
eClerx Digital is the trusted partner of choice to many of the world&rsquo;s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model.
To know more about us, visit https://eclerx.com
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.</div>

Associate Process Manager

Search 9405+ Ml model developer jobs near you this November. New roles added regularly across leading industries. Apply today.