Explore exciting opportunities in the rapidly growing field of AI and ML engineering. As an 2,442 AI Ml Engineer jobs in India
AI/ML Engineer (machine learning)
Posted 5 days ago
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About the Role
We are looking for a passionate and technically strong AI/ML Engineer to join our core team driving the intelligence behind our lending platform. This is a role where you'll build high-performance ML frameworks, scale decision systems, and lay the foundation for the next evolution: agentic AI systems that autonomously extract insights, support business decisions, and power internal copilots. If you are someone who enjoys solving hard problems at the intersection of software engineering and ML, and are excited about the future of AI agents in real-world systems, we want to hear from you.
What You'll Do
● Own and evolve core frameworks powering the loan decision-making process across the company
● Design, develop, and optimize scalable ML infrastructure and software frameworks that integrate seamlessly with production systems
● Partnering with senior engineers and domain leads to lay groundwork for agentic systems – from auto-insight generation to internal decision copilots (e.g., AI for BI)
● Help develop data and model lifecycle: from ingestion and feature engineering to deployment and monitoring
● Build generalized systems that support multi-tenant use across verticals be it policy or data for analytics
● Continuously monitor production performance to ensure that live systems behave as expected, and proactively propose improvements
● Document learnings, scale reusable patterns, and drive adoption of best practices in ML system design
You should apply if you
● Have 4+ years of experience building production-grade software systems in Java / Scala / Python
● Have familiarity with ML lifecycle and deployment practices, even if not deep modeling experience
● Exhibit deep business understanding by translating technical capabilities into impactful solutions, ensuring that frameworks contribute directly to business outcomes
● Are comfortable working in a fast-paced, startup environment and taking end-to-end ownership
● Possess a strong sense of compounding, capable of building modular, iterative solutions that grow in capability over time, especially in the context of Agentic AI frameworks
Must Have
● 3+ Hands-on experience with developing frameworks from scratch: SDKs, or platforms that serve multiple internal teams
● Strong grasp of OOP design, system architecture, and ML pipeline design
● Demonstrated ability to take a messy real-world problem and build reliable, scalable systems around it
● Builds both production-grade systems and internal frameworks that enhance team productivity, with a focus on delivering overall impact
● Proven ability to work in a cross-functional environment comprising of Data Scientists, Business Analysts, Product managers and Data Engineers
Nice to have
● Exposure to agentic or autonomous systems (e.g., LangGraph, CrewAI, AutoGPT-style architectures)
● Experience with internal tools like AI copilot builders, dashboarding frameworks, or data storytelling systems
● Prior work in Fintech, especially in lending, credit risk, or collections workflows
● Experience with distributed data processing tools like Apache Spark for Pipeline setup
● Academic background from top-tier institutions (IIT/NIT/BITS/etc.)
Success Metrics
● Build frameworks that consistently perform as expected in production environments, minimizing downtime and firefighting
● Develop tools and systems that measurably increase the productivity and velocity of teammates across data, engineering, and product functions
● Design solutions that are scalable, highly configurable, and easy to adapt to evolving business requirements — reducing turnaround time for changes.
● Lay robust foundations that enable the organization to transition towards Agentic AI adoption — through modular, interoperable, and forward-compatible systems
AI/ML Engineer
Posted 2 days ago
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Job Description
**Primary Responsibilities:**
+ Lead applied research in LLMs, generative AI, and multimodal models
+ Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation)
+ Publish internal whitepapers and contribute to external conferences where applicable
+ Engineering & Implementation
+ Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow
+ Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring)
+ Tooling & Infrastructure
+ Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers
+ Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment
+ Architecture & Strategy
+ Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loops
+ Partner with enterprise architects and product leaders to align AIML capabilities with business goals 3
+ Mentorship & Collaboration
+ Mentor junior engineers and researchers
+ Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelors Degree in Computer Science, Machine Learning, or related field
+ 4+ years of experience in AIML engineering and research
+ Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
+ Hands-on experience with MLOps, model deployment, and monitoring
+ Proven expertise in LLMs, generative AI, and deep learning
+ Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
+ Familiarity with AIML governance, ethics, and responsible AI practices
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
AI/ML Engineer
Posted 2 days ago
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Job Description
**Primary Responsibility:**
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor of Technology
+ Knowledge of Large Language Models (LLMs) for text and conversational applications
+ Familiarity with data cleaning, feature engineering, and model evaluation best practices
+ Proficiency in Python, including libraries like pandas, NumPy, and scikit-learn
+ Demonstrated ability to build, train, and optimize machine learning models for production
+ Proven excellent analytical thinking and communication skills for cross-functional collaboration
**Preferred Qualifications:**
+ Hands-on experience with deep learning frameworks (TensorFlow/PyTorch)
+ Experience using cloud platforms (AWS/GCP/Azure) for scalable deployments
+ Proven exposure to Retrieval-Augmented Generation (RAG) methodologies and AI Agents
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
AI/ML Engineer
Posted 2 days ago
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Job Description
Looking for an AI Developer with proficiency in AI, artificial intelligence, deep learning, NLP, generative AI, and optimization approaches. Proficient in developing, implementing, and launching AI models for functions like predictive analytics, anomaly detection, intelligent process improvement, and conversational AI. Proficient in applying reinforcement learning, fuzzy logic methodologies, and decision-making strategies. Having expertise in reinforcement learning, fuzzy logic systems, and decision-making using innovative technology is beneficial.
This role involves designing, implementing, and optimizing AI-powered solutions to enhance the performance, efficiency, and reliability of digital platforms, industrial processes, and enterprise systems. The candidate will work on integrating AI models into production environments, automating workflows, and bringing to bear generative AI to drive innovation across business applications.
If you think this role suits you, join our team and apply now!
**In this Role, Your Responsibilities Will Be:**
+ AI/ML Model Development & Automation - Develop AI/ML models that assist Ovation engineers by automating tasks such as control logic generation, graphics template suggestions, report/documentation automation, and workflow optimization.
+ Data-Driven Insights & Predictive Tooling - Analyze Ovation system engineering data (configuration files, tag databases, and control schemes) to identify patterns, build predictive tools, and enable data-driven decision-making.
+ Generative AI & NLP Applications - Integrate large language models (LLMs) and natural language processing (NLP) techniques to translate natural language descriptions into Ovation configuration elements and intelligent engineering support tools.
+ Productivity & Operator Assistance - Create AI-powered operator-assistive tools such as SOP recommendations, automated report generation, intelligent dashboards, and alarm prioritization to enhance plant performance.
+ Predictive Maintenance & Anomaly Detection - Design AI-based modules for predictive maintenance, control loop performance monitoring, anomaly detection, and root-cause analysis using Ovation historian and time-series process data.
+ MLOps & Lifecycle Management - Implement and maintain AI model pipelines for training, validation, deployment, monitoring, and continuous improvement in the Ovation engineering environment.
+ Collaboration & Co-Creation - Work closely with control engineers, software developers, and UX designers to deliver user-friendly AI-enabled features; collaborate with plant engineers and operators to validate models and ensure seamless integration with DCS HMI.
+ Compliance & Security - Ensure all AI solutions align with Emerson's Plantweb ecosystem standards, cybersecurity guidelines, and operational safety procedures.
+ Clear Communication - Proficiently explain technical concepts to non-technical colleagues and support a culture of innovation, collaboration, and Agile delivery.
**Who you Are**
We are looking for a proactive professional who excels in dynamic, fast-paced environments. You demonstrate exceptional initiative, confidently tackling complex challenges in power plant control and optimization. With a strong commitment to innovation and excellence, you set ambitious goals and uphold the highest standards in every project.
**For This Role, You Will Need:**
+ A Bachelor's degree (or equivalent experience) in Engineering, Artificial Intelligence, Data Science, Electrical/Computer Engineering, or a related field.
+ 2-5 years of hands-on experience in AI/ML model development, deployment, and optimization, with a track record of driving innovation and efficiency in real-world applications.
**Preferred Qualifications That Make You Stand Out:**
+ Deep expertise in machine learning, deep learning, and generative AI techniques (LLMs, diffusion models, reinforcement learning), enabling automation, optimization, and decision support in engineering workflows.
+ Proven proficiency in Python, TensorFlow/PyTorch, and MLOps frameworks, with hands-on experience in deploying AI in production and industrial environments.
+ Knowledge of power plant processes (boiler, turbine, steam temperature, combustion, unit load optimization, drum level/feedwater control) and ability to apply AI/ML solutions to optimize these operations.
+ Strong understanding of control theory and advanced control strategies (PID, MPC, fuzzy logic, multivariable control) and how AI can enhance traditional approaches.
+ Experience working with Emerson Ovation DCS or similar control/automation systems, integrating AI-based modules into control engineering workflows.
+ Proficiency in predicting maintenance issues, detecting irregularities, and enhancing processes with time-series data from historians/DCS systems.
+ Familiarity with responsible AI practices (explain ability, bias detection, compliance) to ensure safe and trustworthy adoption in critical infrastructure.
+ Excellent communication and collaboration skills, with the ability to bridge AI/ML techniques with domain experts in power generation and automation.
**Our Culture & Commitment to You:**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family's physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
Learn more about our Culture and Values.
**WHY EMERSON**
**Our Commitment to Our People**
At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world's most complex problems - for our customers, our communities, and the planet. You'll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
At Emerson, you'll see firsthand that our people are at the center of everything we do. So, let's go. Let's think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let's go, together.
**Accessibility Assistance or Accommodation**
If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: .
**ABOUT EMERSON**
Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you're an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you'll find your chance to make a difference with Emerson. Join our team - let's go!
**No calls or agencies please.**
**Requisition ID** :
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
AI ML Engineer
Posted 2 days ago
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Job Description
AI ML Engineer
**Job Description:**
+ 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems.
+ Excellent hands-on Coding in Python (mandatory), C/C++ or Java.
+ Experience in developing AI/ML/DL models by using transfer learning or from scratch.
+ Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc.
+ Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi).
+ Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics.
+ Developed/optimized various models in computing domain (Video, Statistics , Audio and others).
+ Demonstrated experience in completing data science projects with or without minimal supervision.
+ Must possess conceptual understanding of various modelling techniques, pros and cons of each technique.
**Added Advantage:**
+ Proven record of migrating Al/ML/DL models/algorithms to low level platforms.
+ Familiar with optimizing code for minimal usage of CPU and memory.
**Location:**
IN-GJ-Ahmedabad, India-Ognaj (eInfochips)
**Time Type:**
Full time
**Job Category:**
Engineering Services
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.
AI/ML Engineer
Posted 2 days ago
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Job Description
Job Title: AI/ML Engineer
Location: Hyderabad, India
Work Mode: Onsite (5 days/week)
Experience: 0–3 Years
Employment Type: Full-time
Position Overview:
We are looking for an enthusiastic and motivated AI/ML Engineer with 0–3 years of experience to join our team in Hyderabad. This is a full-time, onsite role where you will gain hands-on experience in building and deploying AI/ML applications. The ideal candidate should have a strong foundation in programming, machine learning concepts, and a passion for solving real-world problems using data and AI.
Key Responsibilities:
Assist in designing, building, and testing AI/ML models for real-world applications.
Work on data preparation, cleaning, preprocessing, and feature engineering.
Train and evaluate machine learning and deep learning models.
Collaborate with product and engineering teams to support AI/ML use cases.
Create basic dashboards, visualizations, and reports for stakeholders.
Stay updated on AI/ML frameworks, libraries, and tools to improve skills continuously.
Required Qualifications:
Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field.
Internship or academic project experience in AI/ML is preferred.
Strong programming skills in Python.
Familiarity with ML frameworks/libraries: Scikit-learn, TensorFlow, or PyTorch.
Understanding of fundamental ML algorithms (classification, regression, clustering).
Basic experience with data handling using Pandas, NumPy.
Knowledge of SQL for data querying.
Preferred Skills:
Exposure to data visualization tools (Matplotlib, Seaborn, or Power BI/Tableau).
Awareness of cloud platforms (AWS SageMaker, Azure ML, Google AI Platform).
Understanding of version control (Git, GitHub).
Basic knowledge of NLP or Computer Vision libraries (NLTK, Spacy, OpenCV).
Eagerness to learn MLOps practices and AI deployment workflows.
Work Arrangement:
Location: Hyderabad (onsite only)
Work Schedule: Monday to Friday (5 days a week, in-office)
AI/ML Engineer
Posted 2 days ago
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Locations: Bangalore, Noida, Gurgaon, Pune, Indore, Hyderabad.
Experience: 4 - 12 Years.
Job Description:
- Possess strong logical and analytical abilities in problem-solving and solution designing
- Use case derivation and solution creation from structured/unstructured data
- Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance & capabilities of LLMs
- Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
- An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
- Work closely with business and product management teams to develop and implement analytics solutions.
- Communicate results to diverse technical and non-technical audiences.
- Research and Innovation: Stay up to date with the latest advancements in the fields of AI.
Mandatory Skills:
Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain
Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models
Deep learning/LLM models finetuning and evaluation
Good to Have Skills -
LLMOps
Cloud (AWS)
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AI/ ML engineer
Posted 4 days ago
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Dear Candidate
Greetings from TATA Consultancy Services
Job Openings at TCS
Skill : AI/ ML engineer
Exp range: 5 yrs to8 yrs
Location: Chennai, Bangalore
Notice period –30 days
Pls find the Job Description below.
- Deep understanding of GenAI and machine learning concepts and their application in quality engineering.
- • Leverage GenAI and machine learning to build intelligent test automation solutions, optimize testing efforts and anomaly detection systems.
- • Construct proof-of-concept solutions to integrate cutting-edge technologies into quality tools.
- • Capable of operating across multiple levels of abstraction, from strategic planning to detailed implementation
- • Highly adaptable programmer with strong foundations in full stack web or native technologies ( JavaScript, React., Java, and other languages )
- • Demonstrated leadership in driving DevOps transformations across multiple areas such as strategy, design, architecture, migration planning, and implementation.
- Nice to Have:
- • Strong and recent experience with developing automated testing framework.
- • Past start up experience and contributed in Open-Sourced Projects.
Must-Have Skills :Primary : ML knowledge (who can create Model, training and assessment), GenAI and Model life cycle/MDLC, GCP & BigQuery.
Secondary : Python Engineers and Strong SQL
If you are Interested in the above opportunity kindly share your updated resume to immediately with the details below (Mandatory)
Name:
Contact No.
Email id:
Skillset:
Total exp:
Relevant Exp:
Fulltime highest qualification (Year of completion with percentage scored):
Current organization details (Payroll company):
Current CTC:
Expected CTC:
Notice period:
Current location:
Any gaps between your education or career (If yes pls specify the duration):
Will you be able to join within 30 days? (Yes/NO)
Is : Chennai ,Bangalore location fine? (Yes /NO)
AI/ML Engineer
Posted 5 days ago
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Job Description
A modern work platform means a single source of truth for your desk and deskless employees alike, where everything they need is organized and easy to find.
MangoApps was designed to unify your employee experience by combining intranet, communication, collaboration, and training into one intuitive, mobile-accessible workspace.
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
AI/ML Engineer Responsibilities
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
AI/ML Engineer Requirements
- Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+yrs of experience as an AI/ML Engineer
- Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc.
- Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs
- Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
Skills: fastapi,python,large language models,large language model,pandas,artificial intelligence,mathematics,machine learning,knowledge graphs,flask,python for data analysis,scikit-learn,langchain,algorithms,data science,chatgpt,numpy,statistics
AI ML Engineer
Posted 5 days ago
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Job Description
Experience :5 to 8 Years
Job Location :Bangalore
Mandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI
Position Overview
We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.
Key Responsibilities
- AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
- Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
- Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
- Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
- Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques
- Research and prototype cutting-edge generative AI solutions
- Traditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods
- Perform feature engineering, selection, and dimensionality reduction techniques
- Conduct statistical inference, confidence intervals, and significance testing
- Design and analyze controlled experiments and observational studies
- Apply Bayesian methods and probabilistic modeling approaches
- Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)
- Build robust backend services and APIs using Python, Node.js, or similar technologies
- Design and implement database solutions (SQL/NoSQL) optimized for ML workloads
- Create intuitive user interfaces for AI-powered applications and statistical dashboards
- MLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deployment
- Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar
- Monitor model performance, drift detection, and automated retraining systems
- Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)
- Containerize applications using Docker and orchestrate with Kubernetes
- Collaboration & Leadership: Work closely with data scientists, product managers, and engineering teams
- Mentor junior engineers and contribute to technical decision-making
- Participate in code reviews and maintain high development standards
- Stay current with latest AI/ML trends and technologies
Required Qualifications
- Experience & Education:5 -8 years of professional software development experience
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field
- 6+ years of hands-on AI/ML experience in production environments
- Technical Skills:Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus
- Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods
- Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference
- Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages
- Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP
- LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering
- RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search
- Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering
- Full Stack: React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs
- Databases: PostgreSQL, MongoDB, Redis, vector databases
- MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools
- Cloud Platforms: AWS/GCP/Azure, serverless architectures
- Soft Skills: Strong problem-solving and analytical thinking
- Excellent communication and collaboration abilities
- Self-motivated with ability to work in fast-paced environments
- Experience with agile development methodologies
- Preferred Qualifications Experience with causal inference methods and econometric techniques
- Knowledge of distributed computing frameworks (Spark, Dask)
- Experience with edge AI and model optimization techniques
- Publications in AI/ML/Statistics conferences or journals
- Open source contributions to ML/statistical projects
- Experience with advanced statistical modeling and multivariate analysis
- Familiarity with operations research and optimization techniques