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ai ml engineer

Prestige Track Private Limited

We are looking for a detail-oriented and analytical AI/ML Engineer to support AI and machine learning projects. The ideal candidate will work closely with data scientists and engineers to collect, process, and interpret data, prepare datasets, analyze model outputs, and generate actionable insights that drive data-driven decision-making.Experience:<ul><li>0&ndash;1 year (Freshers can apply)</li></ul>Qualification:<ul><li>BE / BTech / BSc / MSc in Computer Engineering, Computer Science, AI/ML, Data Science, or any related field</li></ul>Work Schedule:<ul><li>Rotational shifts: Day / Afternoon / Night</li></ul>Job Types: Full-time, Permanent, FresherPay: ₹10,000.00 - ₹15,000.00 per monthWork Location: In person

AI/ML Engineer

Tech Next

Job Title: AIML &amp; Generative AI Engineer Experience: 6+ years Location: Pune Work Mode: HybridKey Responsibilities:<ul><li>Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.</li><li>Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.</li><li>Apply deep knowledge of statistics, machine learning, NLP, and generative models, including GANs and transformers.</li><li>Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus.</li><li>Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).</li><li>Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI.</li><li>Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.</li><li>Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements.</li><li>Maintain and enhance data infrastructure for collecting, cleaning, and analysing large-scale datasets.</li><li>Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.</li><li>Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.</li><li>Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation.</li><li>Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.</li><li>Contribute to the development of frameworks, capabilities, and features for NTT DATA&rsquo;s global GenAI platform and TechHub.</li></ul>Minimum Qualifications:<ul><li>3+ years of experience using Python and relevant packages for ML and data science.</li><li>2+ years of experience in delivering impactful GenAI solutions, preferably in Private AI and Smart Agentic Systems.</li><li>5+ years of experience in one or more of the following areas:o Predictive Analyticso Machine Learning and Deep Learningo Generative AIo Data Designo ML Ops / AI Infrastructure.</li><li>Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.</li><li>Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.</li></ul>Soft Skills:<ul><li>Strong problem-solving skills and critical thinking.</li><li>Effective communicator capable of translating complex AI topics to stakeholders.</li><li>Self-driven, collaborative, and adaptable to fast-paced environments.</li></ul>Job Type: PermanentPay: ₹2,200,000.00 - ₹2,600,000.00 per yearWork Location: In person

Recruiting/Staffing

AI/ML Engineer:This role is for a senior AI/ML professional who builds, deploys, and manages advanced AI solutions, especially Generative AI (ChatGPT-like systems), on cloud platforms like AWS, Azure, or GCP.They are hands-on engineers, not just managers.Ideal Candidate Profile (tell recruiters this clearly)<ul><li>8&ndash;10 years total experience</li><li>3&ndash;5 years solid AI/ML project experience</li><li>Strong Python + Machine Learning background</li><li>Already working on LLMs / GenAI / AI agents</li><li>Experience deploying models to production (real systems)</li></ul>Not for freshers or pure data analysts Not for purely academic AI profiles with no deployment workWhat they actually do (in easy language)<ul><li>Build ML models</li><li>Predict things, classify data, forecast trends</li><li>Use Python libraries like Scikit-learn, TensorFlow, PyTorch</li><li>Work on Generative AI</li><li>Build ChatGPT-like systems</li><li>Do prompt engineering</li><li>Fine-tune large language models</li><li>Create RAG systems (AI that answers using company data)</li><li>Create AI agents</li><li>AI systems that can think, decide, and act (like copilots or bots)</li><li>Use tools like LangChain, LlamaIndex, Autogen</li><li>Deploy AI on cloud</li><li>Put models into real applications using:</li><li>AWS / Azure / GCP</li><li>FastAPI, Streamlit, Gradio</li><li>MLOps</li><li>Automate training, deployment, monitoring</li><li>Use Docker, Kubernetes, MLflow, CI/CD</li><li>Work with teams</li><li>Coordinate with product, cloud, and business teams</li><li>Deliver scalable enterprise solutions</li></ul>Must-have skills (screening checklist for recruiters)Recruiters to check at least 60&ndash;70% match:<ul><li>Python + SQL</li><li>ML frameworks (TensorFlow / PyTorch)</li><li>Generative AI (GPT, LLaMA, Gemini, Claude)</li><li>LangChain / RAG / Vector DBs</li><li>Cloud experience (AWS or Azure preferred)</li><li>Deployment + MLOps experience</li></ul>Good-to-have (bonus, not mandatory)<ul><li>Retail / CPG domain</li><li>AI certifications</li><li>Knowledge Graphs</li><li>GIS experience</li><li>AI ethics understanding</li></ul>Why this role is attractive (USP)<ul><li>High visibility role</li><li>Works on cutting-edge AI</li><li>Direct client and business impact</li><li>Growth into tech leadership &amp; consulting</li></ul>Job Type: Full-timePay: ₹293,043.60 - ₹1,471,781.14 per yearExperience:<ul><li>Machine learning: 7 years (Preferred)</li></ul>Location:<ul><li>Chennai, Tamil Nadu (Preferred)</li></ul>Work Location: In person

Colab Cloud Platforms Limited

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning and deep learning solutions that drive innovation and business value. The ideal candidate will have hands-on experience with data preprocessing, model development, optimization, deployment, and monitoring in production environments.You will work cross-functionally with data scientists, data engineers, and software developers to integrate AI-driven features into our products and services.Key ResponsibilitiesModel Development &amp; Implementation<ul><li>Design, train, and optimize machine learning and deep learning models for predictive analytics, natural language processing, computer vision, or recommendation systems.</li><li>Perform feature engineering, data preprocessing, and exploratory data analysis (EDA).</li><li>Evaluate models using appropriate metrics and validation techniques.</li><li>Implement scalable ML pipelines and experiment tracking.</li></ul>Deployment &amp; MLOps<ul><li>Build and maintain end-to-end ML pipelines, from data ingestion to model serving.</li><li>Deploy models into production using tools like Docker, Kubernetes, TensorFlow Serving, TorchServe, or MLflow.</li><li>Monitor model performance, perform drift detection, and retrain models as needed.</li><li>Collaborate with DevOps to ensure CI/CD for ML workflows.</li></ul>Collaboration &amp; Research<ul><li>Partner with data scientists, software engineers, and product managers to identify opportunities for AI integration.</li><li>Stay up to date with emerging trends in AI, ML, and GenAI technologies.</li><li>Contribute to technical documentation, code reviews, and internal knowledge sharing.</li></ul>Data Management<ul><li>Work closely with data engineering teams to ensure clean, structured, and accessible datasets.</li><li>Apply techniques for data augmentation, dimensionality reduction, and data quality improvement.</li></ul>Required Skills and Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.</li><li>2&ndash;5+ years of experience (adjust based on role level) in building and deploying ML models in production.</li><li>Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face Transformers, etc.</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, LSTMs, Transformers), and statistical modeling.</li><li>Experience with SQL, Pandas, NumPy, and data visualization tools (Matplotlib, Seaborn, Plotly).</li><li>Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).</li><li>Familiarity with cloud platforms (AWS, GCP, Azure).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred Qualifications<ul><li>Experience with large language models (LLMs) and generative AI (GenAI).</li><li>Exposure to vector databases (Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG) systems.</li><li>Background in data engineering (ETL, data pipelines) or software engineering (API development).</li><li>Publications or contributions to open-source AI/ML projects.</li></ul>Soft Skills<ul><li>Strong analytical mindset and curiosity for data-driven insights.</li><li>Ability to translate complex technical concepts into actionable business outcomes.</li><li>Collaboration and teamwork across multi-disciplinary teams.</li><li>Ownership mentality and accountability for deliverables.</li></ul>Job Types: Full-time, PermanentPay: From ₹33,000.00 per monthWork Location: In person

MAERSK

<div>Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions.
We are an ambitious data product team and are looking for a AI/ML Engineer to join us in our journey!
Let us start by introducing ourselves and then move on to you and your potential new role.
<h2 class="jobSectionHeader">The team - who are we
</h2>We are an ambitious data product team of diverse problem-solvers with a drive for getting the job done, and a shared passion to use data, data science (DS), machine learning (ML) and engineering excellence to make a difference for our customers.
Concretely, we develop data products for the Maersk.com platform for our internal and external customers.
We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths &amp; weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally.
<h2 class="jobSectionHeader">Our new member - who are you
</h2>You are passionate about cracking hard business problems with data science and ML excellence . You combine business acumen and a drive for impact with hands‑on model development and experimentation to create data products that matter .
You are a go‑getter, a challenger, learner, collaborator and shaper. Your curiosity might lead you right after reading this posting to Maersk.com to explore one of our (and your potential future) channels of impact from the user perspective.
You are, like us, a team player who cares about your team members, about growing professionally and personally, about helping your team mates grow, and about having fun together.
If this so far speaks to you, you should absolutely read on for more details.
<h2 class="jobSectionHeader">About the role
</h2>As AI/ML Engineer , you will be part of our cross‑functional data product team , developing ML‑powered applications for our Maersk.com platform based on strong scientific rigor and engineering principles. You will collaborate closely with our colleagues from the Maersk.com platform.
The data we work with is collected and validated from various streams and used to develop sophisticated ML models (e.g., segmentation, recommender systems, ranking, propensity).
You&rsquo;ll contribute across the full model lifecycle : problem framing, feature engineering, modeling, evaluation, deployment, online experimentation (A/B tests) , and production monitoring .
<h2 class="jobSectionHeader">Your responsibilities include
</h2><ul><li>Frame problems and define outcomes : Translate customer/business objectives into clear DS problems with measurable success metrics.
</li><li>Build production‑grade models : Design, train, and validate models for both batch scoring and real‑time inference .
</li><li>Feature engineering at scale : Partner with data engineers to design robust feature pipelines , feature stores, and data contracts for reliable online/offline parity.
</li><li>Experimentation &amp; causal measurement : Design and run A/B tests , multi‑armed bandits, and holdout analyses; ensure rigorous statistical evaluation, guardrails, and risk controls.
</li><li>MLOps &amp; model lifecycle : Use model registries, CI/CD, automated evaluations, drift/decay monitoring, and canary rollouts to deploy safely and iterate quickly.
</li><li>Documentation &amp; reproducibility : Keep experiments, datasets, and models well‑documented and reproducible; champion high‑quality scientific and engineering practices.
</li><li>Cross‑functional collaboration : Work closely with product, platform engineering, and analytics to align on customer outcomes , explain model behavior, and communicate trade‑offs to non‑technical audiences.
</li><li>Responsible AI : Consider fairness, bias, explainability, privacy, and compliance when designing and deploying models.
</li><li>Continuous improvement : Independently direct your time and resources with engineers and fellow data scientists in the team; contribute to transforming how we work as part of our broader cultural transformation.
</li></ul><h2 class="jobSectionHeader">Skills &amp; experience we are looking for
</h2><ul><li>Education : Bachelor&rsquo;s degree, ideally in computer science, statistics, mathematics, engineering, or a related field. The ideal person may possess an advanced degree focusing on ML, applied statistics, or distributed systems.
</li><li>Experience : 4&ndash;6 years industry experience in data science or ML engineering within a software or analytics‑intensive B2B environment, delivering models into production as part of a product team.
</li><li>ML expertise : Solid understanding and experience with batch and real‑time ML solutions , especially personalization, recommendations, ranking, and propensity modeling at scale.
</li><li>Languages &amp; tooling : Strong hands‑on skills in Python and SQL . Experience with PySpark/Spark , and ML libraries such as scikit‑learn , TensorFlow , PyTorch , and XGBoost/LightGBM .
</li><li>Data &amp; platforms : Working knowledge of Databricks , Spark Structured Streaming , feature stores , experiment platforms, and MLflow/model registries .
</li><li>Cloud &amp; infrastructure : Familiarity with Azure, GCP, or AWS ; containerization and orchestration ( Docker, Kubernetes ) and pub/sub systems (e.g., Kafka ) for real‑time features/inference.
</li><li>Experimentation &amp; statistics : Experience designing and analyzing A/B tests , understanding of confidence intervals, power, uplift, and common pitfalls (e.g., peeking, interference).
</li><li>Data product mindset : Ability to compellingly present technical topics to non‑technical audiences; strong problem‑solver and self‑starter comfortable navigating ambiguity.
</li></ul><h2 class="jobSectionHeader">Good to have / we value familiarity with:
</h2><ul><li>CI/CD , DevOps, microservices, monitoring, git and source control, effective documentation; insight sharing; data modeling (dimensional/BI), ETL , data quality; responsible AI and model observability.
</li></ul><h2 class="jobSectionHeader">About the company
</h2>A.P. Moller - Maersk is the globally leading integrated container logistics company and responsible for moving 20% of global trade every year. Our over 80,000 employees work across 130 countries to connect and simplify global trade, and help our customers grow and thrive. We are right now driving an industry-defining data and technology transformation that is enabling us to deliver value to our customers with best-in-class technology, data &amp; data products. This is a unique opportunity to further grow your career within data and technology in an iconic company with Danish roots and global reach.
<h2 class="jobSectionHeader">What we offer
</h2>This position offers a great opportunity to apply and further develop your cutting-edge knowledge of data science and machine learning to create results and insights that are transforming the transport and logistics industry. Believe us - there has never been a more exciting time to be part of the data &amp; technology area in the shipping &amp; logistics industry!
Our team is embracing a flexible hybrid work setup, where we like to work from home, and equally much like to meet weekly together in the office. 
 
As a AI/ML Engineer with Maersk, you will be part of the community of data &amp; engineering practitioners across the company, where we develop the foundations of our future business.
We operate in a fast-paced environment utilizing modern technologies.
We embrace innovation methods where we have a close dialogue with end users, make early use of mock-ups &amp; POCs and are committed to incremental development.
We value customer outcomes and are passionate about using technology to solve problems.
We are a diverse team with colleagues from different backgrounds and cultures.
We offer the freedom, and responsibility, to shape the setup and the processes we use in our community.
We support continuous learning, including through conferences, workshops and meetups.
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. 
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .
CORE SKILLS Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making Proficiency Level: Proficient Statistical Analysis: The process of collecting and analyzing data to identify patterns and trends, and to make informed decisions. Proficiency Level: Proficient AI &amp; Machine Learning: The field of artificial intelligence (AI) involves creating systems that can perform tasks that typically require human intelligence. Machine learning (ML) is a subset of AI that uses algorithms to learn from and make predictions based on data Proficiency Level: Proficient Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient Data Science: A multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Proficiency Level: Proficient SPECIALIZED SKILLS Data Validation and Testing: Ensuring that data is accurate and meets the required standards before it is used in analysis or decision-making. Model Deployment: The process of making a trained machine learning model available for use in production environments. Machine Learning Pipelines: Automated workflows that manage the end-to-end process of training and deploying machine learning models. Deep Learning: A subset of machine learning involving neural networks with many layers, used to model complex patterns in data. Natural Language Processing (NLP): A field of AI that focuses on the interaction between computers and humans through natural language. Optimization &amp; Scientific Computing: Using Mathematical techniques and computational algorithms to solve complex problems and optimize processes Decision Modeling and Risk Analysis: Decision Modeling and Risk Analysis are methodologies used to make informed, data-driven decisions under uncertainty, especially when multiple factors and possible outcomes need to be considered. Technical Documentation: Creating and maintaining documentation that explains the functionality, use, and maintenance of software or systems. Definition of Proficiency Levels: Foundational: This is the entry level of the skill, typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support, coaching, and training as you build the capability to progress to higher proficiency levels. Proficient: This is the level at which you are considered effective in the skill. You demonstrate more than just functional competence&mdash;you begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support, coaching, or training to apply the skill successfully. Advanced: This is the level where you move beyond meeting expectations to actively leading, influencing, and delivering considerable impact across the wider business. You are seen as a role model, demonstrate the skill independently, and require little to no manager support.</div>

Soft Radix Technologies

We are looking for a highly skilled and experienced Senior AI/ML Engineer with deep expertise in Generative AI, LLMs, small language models, AI agents, chatbots, and automation workflows. The ideal candidate will have a strong background in developing and deploying AI solutions, particularly in agentic AI tools such as Make.com, n8n, and other automation platforms. You will play a key role in building intelligent, scalable, and efficient AI-driven applications, integrating advanced AI models into real-world business use cases.Key Responsibilities:<ul><li>Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications.</li><li>Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation.</li><li>Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows.</li><li>Optimize AI models for efficiency, scalability, and real-world application in production environments.</li><li>Develop and fine-tune LLMs and small language models tailored for specific business needs.</li><li>Implement AI-powered automation for customer support, process optimization, and intelligent decision-making.</li><li>Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations.</li><li>Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment.</li><li>Mentor junior AI engineers and contribute to knowledge sharing within the team.</li><li>Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies.</li></ul>Required Skills and Experience:Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.</li></ul>Experience:<ul><li>2 years of hands-on experience in AI/ML development, with a strong focus on Generative AI, LLMs, and automation workflows.</li><li>Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools.Technical Expertise:</li><li>Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.</li><li>Experience with LLM fine-tuning, model compression, and small language models for efficiency.</li><li>Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation.</li><li>Strong understanding of NLP, conversational AI, and chatbot development.</li><li>Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment.</li><li>Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.</li><li>Experience with big data technologies such as Hadoop, Spark, or similar is a plus.</li></ul>Preferred Qualifications:<ul><li>Experience integrating AI models into business workflows to enhance automation and efficiency.</li><li>Familiarity with API development and integrations to connect AI services with other systems.</li><li>Exposure to MLOps and AI model lifecycle management.</li><li>Knowledge of prompt engineering and AI model optimization techniques.</li></ul>Job Type: Full-timePay: ₹30,000.00 - ₹40,000.00 per monthBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

Sprouts Ai

Job Description:About the Role:We are seeking a highly skilled AI Engineer to design and implement intelligent systems that drive automation, insights, and innovation. You will work on machine learning (ML), deep learning and optimization algorithms collaborating with cross-functional teams building scalable AI solutions for real-world applications.Key Responsibilities:&middot; Design, develop and optimize ML/AI models for classification, regression, and recommendation systems.&middot; Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment.&middot; Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc.&middot; Apply MLOps best practices for model versioning, monitoring, and retraining.&middot; Work with large-scale datasets, performing feature engineering and data augmentation.&middot; Optimize model performance for scalability, latency, and efficiency in production.&middot; Deploy AI models using MLOps practices, containerization (Docker), and cloud services (Azure).&middot; Research and experiment with state-of-the-art AI techniques to improve existing models and integrate cutting-edge techniques into production systems.&middot; Collaborate with data scientists and product teams to integrate AI into business applications.Required Skills:&middot; Bachelor's/Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.&middot; Strong programming skills in Python&middot; Strong backgrounds in LLM deployment and understanding such as KV caching, model compression, model quantization, distributed training etc.&middot; Experience in training and deploying ML models in production.&middot; Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).&middot; Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools.&middot; Understanding of data structures, algorithms, and optimization techniques.&middot; Experience with data engineering, feature extraction, and model evaluation.&middot; Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.).&middot; Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models.&middot; Knowledge of multi-modal AI (text, image).Nice to Have:&middot; Knowledge of reinforcement learning, planning, and decision-making models.&middot; Hands-on experience with big data processing and big data frameworks&middot; Familiarity with vector databases.&middot; Experience in real-time AI applications for high-performance systems.Job Type: Full-timePay: ₹2,000,000.00 - ₹3,500,000.00 per yearExperience:<ul><li>LLM deployment : 1 year (Required)</li><li>Optimization Techniques: 1 year (Required)</li><li>Model Quantization: 1 year (Required)</li></ul>Work Location: Hybrid remote in Bengaluru, Karnataka

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5471 ai ml engineer jobs IN Noida Faridabad Delhi Ghaziabad Greater Noida Jobs In Delhi

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer

AI/ML Engineer