53 Ai Engineer Jobs

Role: Gen AI Engineer (back-end software development role with a specialization in ML/DL and Generative AI) Company - Supply Chain Management Consulting firm Experience: Candidates must have 5+ years in ML/DL, with a minimum of 2 years specifically in Generative AI solution development. Location: Bangalore (Innovator - ITPL, The HIVE - Mahadevapura, Helios - Kadubeesanahalli) Work Mode: Hybrid - 5 days a week Budget: A maximum of a 30% hike on the candidate's current fixed CTC. Counteroffers will not be provided. Looking for immediate joiners. We are hiring for Gen AI Engineer/Hybrid/Bangalore. We need Python, PyTorch, TensorFlow, LLM, Docker (Mandatory) & IMMEDIATE joiners Gen AI Engineer - Python , PyTorch, TensorFlow, LLM, Docker, Kubernetes, CI/CD pipelines Requirements Education: Bachelors/masters in computer science, Data Science, AI/ML, or a related field. Experience: 5+ years in ML/DL, with minimum 2 years in Generative AI solution development. Expertise with Python and ML/DL libraries (PyTorch, TensorFlow, JAX). Strong knowledge of LLM training/fine-tuning techniques: LoRA, QLoRA, PEFT, instruction tuning. Proficiency in prompt engineering and evaluation of model outputs. Hands-on with vector databases and indexing pipelines for semantic search. Familiar with containerization and deployment tools (Docker, Kubernetes, Helm). Exposure to CI/CD pipelines for AI solutions and cloud-native patterns

As a Manager/Assistant Manager - Data Science at our company in Mumbai, your role involves developing and implementing data-driven solutions to drive business growth and improvement. You will lead and manage a team of data scientists, design and deploy machine learning models, conduct time series forecasting, analyze digital marketing campaigns, and collaborate with cross-functional teams to integrate data science insights into business strategies. It is essential for you to stay updated with industry trends and advancements in data science and AI. Key Responsibilities: - Develop and implement data-driven solutions for business growth - Lead and manage a team of data scientists - Design and deploy machine learning models - Conduct time series forecasting and predictive analytics - Analyze and optimize digital marketing campaigns - Develop and maintain portfolio analysis and traffic analysis models - Collaborate with cross-functional teams for data science integration - Stay updated with industry trends in data science and AI Qualifications Required: - Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - 8+ years of experience in data science or related field - Expertise in Data Science, Machine Learning, Time Series Forecasting, Digital Marketing Analytics, Traffic Analysis, Portfolio Analysis, Campaign Optimization, and Model Deployment - Strong programming skills in Python, R, or SQL - Experience with data visualization tools like Tableau, Power BI, or D3.js - Ability to communicate complex technical concepts to non-technical stakeholders - Strong leadership and team management skills In addition to the exciting work in data science, you will have the opportunity to work with a dynamic and innovative team, avail professional growth and development opportunities, and receive comprehensive health insurance benefits. Join us in shaping the future of data science and AI in Mumbai! Note: Additional details about the company were not provided in the job description.,

Company Description We're a purpose-driven HR tech company helping global enterprises hire faster, develop better, and retain their people longer. Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1700 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! Position Summary Were looking for a Product Development Engineer (ML) to join our team of Phenom. We prefer candidates Capable of building accurate machine learning models Good understanding of NLP. LLMs is a plus Practical knowledge of object-oriented software development Job Responsibilities: Develop and implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications. Train NLP models, using both custom datasets and existing available language models, such as BERT, RoBERTA, Spacy and LLM models etc. Build and evaluate models for NLP tasks, such as multi-label classification, NER, Question Answering and text summarization, and produce new solutions based on business requirements. Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, and neural networks. Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks. Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into existing products and services. Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes. Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects. Job Requirement: Hands-on experience with Natural Language Processing (NLP) or computer vision, or other AI subfields Proven track record as an AI Engineer, with portfolio examples of successful machine learning projects Bachelor's Degree Advanced level knowledge of Python and understanding of good coding practices Experience in NLP and machine learning libraries (e.g.,Transformers, PyTorch, Langchain, scikit-learn) Strong drive to learn and acquire missing skills You love this place: Build your own ideas with a team of innovative and top caliber ML experts from premier institutes like IITs, IIITs in a fun environment Wok on solving unique and hard problem with data science and machine learning Create world-class products and cutting edge solutions Work in an Open Space Environment (no cubicles) We’re global and growing fast. Join us! Must to have skills: Python, Industry experience in ML Should be willing to contribute towards end-to-end product development like deployment, DevOps, support, monitoring etc Good to have skills: GenAI/LLMs, Langchain, vector databases Pytorch, Deep learning

You are a highly skilled and motivated AI Engineer who will be joining our team to develop reusable AI-powered tools and components that drive automation, scalability, and efficiency across our technical delivery ecosystem. Your primary focus will be on leveraging large language models (LLMs) to develop intelligent, context-aware automation tools, starting with a flagship tool that automates SQL script generation for data migrations and transformations. You will collaborate closely with solution architects and data engineers to build generative AI assets that can be integrated into repeatable client delivery work-streams, especially for non-profit and education clients using platforms like Salesforce Non-profit Cloud, Education Cloud, Salesforce NPSP, Raisers Edge, and Ellucian Banner. Your key responsibilities will include designing and developing AI-Powered Tools by building generative AI tools and services, such as automated SQL generation engines, that reduce manual coding effort and increase accuracy. You will also be responsible for prompt engineering and tuning, integrating LLMs into business workflows, data contextualization and reasoning, leveraging LLMs for contextual understanding, collaborating with cross-functional teams, ensuring model safety and performance, driving reusability and knowledge capture, and contributing to the betterment of Cloud for Good. To be successful in this role, you should have proven experience building with LLMs or other generative AI models, a strong background in Python with hands-on experience using AI/ML libraries, a solid understanding of SQL and data engineering workflows, experience working with structured data systems like SQL, Salesforce, Raisers Edge, and Banner, and the ability to build context-aware, prompt-engineered solutions that integrate with APIs or internal systems. Familiarity with MLOps or DevOps practices for deploying and monitoring AI applications is a plus, as well as excellent communication skills and the ability to translate complex AI functionality into real-world business value. Preferred skills include exposure to Salesforce ecosystem tools and data models, experience contributing to internal toolsets or reusable IP in a professional services or consulting environment, and prior experience working with data migration frameworks or ETL pipelines. If you are looking to make an impact, thrive in a collaborative and innovative environment, access professional development opportunities and mentorship, and enjoy benefits such as a competitive salary, health/wellness packages, and flexible work options, then you may be a great fit for this role.,

Responsibilities: 6+ Gurugaon * Design, develop & deploy AI solutions using Python & LLMs * Optimize system performance through data analysis & machine learning techniques * Collaborate with cross-functional teams on project delivery

As a Senior AI Engineer at BlackLine, you will play a crucial role in developing and deploying enterprise-ready Generative AI solutions. Your responsibilities will include turning raw data into actionable insights, contributing to innovative solutions, and driving advancements in artificial intelligence. You will be at the forefront of applying generative AI and automation technologies to address real-world business challenges. Your expertise in AI technologies, including vector databases and knowledge graphs, will be instrumental in navigating complexities such as data privacy, security, compliance, and accuracy. You will have the opportunity to explore emerging technologies to enhance AI implementations through workflow automation and enterprise integration technologies. Utilizing platforms like MuleSoft, Workato, or Boomi, you will streamline data flow and ensure seamless system interoperability. In addition, you will design, fine-tune, and deploy state-of-the-art Generative AI models to address enterprise-specific use cases, such as knowledge management, customer support, personalized insights, and content generation. Collaborating with business stakeholders, you will identify high-impact opportunities for applying Generative AI and document their requirements. Furthermore, you will drive decisions on building custom AI solutions or leveraging existing technologies to align with the company's strategic goals and resource constraints. Your technical skills in programming languages like Python or Java, familiarity with cloud platforms such as AWS Bedrock, Azure AI Studios, or Google Cloud Vertex AI, and experience in data preprocessing and feature engineering will be essential in your role. Additionally, your problem-solving abilities, critical thinking skills, and adaptability to a fast-paced environment will contribute to your success at BlackLine. Join us at BlackLine, a technology-based company with a vision for the future and a culture that fosters diversity, inclusivity, and continuous learning. Be part of a winning team that values innovation and empowers its employees to thrive in the world of Finance Automation.,

OnGrid is India's fastest-growing digital trust platform, offering verifications, background checks, and reference checks, employee/staff onboarding, KYC services, and the issuing of verified credentials. Founded by IIT-B alumni, OnGrid has completed more than 100 million checks and is working with 3000+ happy clients. We are focused on redefining and reimagining Trust by leveraging technology to build a digital trust platform and providing verified credentials instantly from the source. We are seeking a motivated Senior AI Engineer to join us in driving our vision to a larger scale. If you are a visionary individual who is always seeking the right solutions, a technology enthusiast eager to learn and enhance your skill set, then you are the ideal candidate for this role. As a Senior AI Engineer at OnGrid, you will work closely with Product and Technology teams, managing, innovating, and directing processes and R&D to align with our AI strategy. You will collaborate on client and internal use cases to create impactful solutions using AI and related technologies. Your responsibilities will include analyzing, developing, and operationalizing AI and machine learning solutions while upholding the highest ethical standards. Additionally, you will conduct research in areas such as computer vision, NLP, and other relevant fields. The ideal candidate for this role should have a Bachelors/Masters in Computer Science or a related field, with a strong understanding of mathematics. You should have a minimum of 3+ years of hands-on experience solving real-life problems, preferably in computer vision or NLP, utilizing deep learning techniques. Proficiency in Python programming is required, and familiarity with Java is a plus. Experience with cloud providers/platforms such as AWS, Azure, or Google Cloud is advantageous. You should possess the ability to think analytically and holistically when designing solutions for complex AI problems. Join us at OnGrid and be a part of our team that is reshaping the landscape of digital trust. Let your imagination soar as we explore uncharted territories and innovate like never before.,

Role & responsibilities Detailed Job description: Software Engineer - AI Solutions | Full-Time| Responsibilities Design and implement AI-powered features using LLMs and other machine learning models Develop proof-of-concepts and MVPs to demonstrate AI capabilities to stakeholders Optimize LLM performance including prompt engineering, response latency, and cost efficiency Design and maintain agent-oriented LLM pipelines that autonomously plan, reason, and invoke external tools to complete end-to-end business tasks Implement evaluation frameworks and monitoring systems for deployed AI solutions Collaborate with Product Managers to translate client requirements into technical specifications Ensure code quality, security, and scalability in production environments Document technical implementations and create deployment guides for client teams Minimum qualifications Bachelor's degree in Computer Science or equivalent practical experience 3+ years of software engineering experience Strong proficiency in Python and modern web frameworks (FastAPI, Flask, Django) Experience with REST APIs and microservices architecture Understanding of cloud platforms (AWS, Azure, or GCP) Excellent problem-solving and debugging skills Preferred qualifications Experience integrating LLM APIs (OpenAI, Anthropic, Google Vertex AI) Hands-on experience developing and deploying agentic or multi-agent LLM architectures in real-world workstreams Familiarity with vector databases (Pinecone, Weaviate, ChromaDB) Knowledge of prompt engineering and LLM fine-tuning techniques Experience with containerization (Docker, Kubernetes) Background in client-facing or professional services roles Understanding of ML model deployment and monitoring Preferred candidate profile Interested candidates can apply to kinnera259@gmail.com Reagrds, HR Manager

About the Role We are seeking an experienced GenAI Solution Architect with deep expertise in designing and delivering large-scale AI/GenAI systems . In this leadership role, you will drive the architecture and implementation of enterprise-grade AI solutions , focusing on Large Language Models (LLMs) , AI frameworks , and MLOps practices . This is a high-impact position requiring both strategic vision and hands-on technical expertise . Key Responsibilities Architect AI Solutions: Design and build scalable, efficient, and secure GenAI systems leveraging advanced ML frameworks and LLMs. Framework Implementation: Lead the development of complex GenAI models using Python, TensorFlow, PyTorch , and related technologies. Model Optimization: Oversee optimization for performance, scalability, and cost-efficiency across training and inference pipelines. API Development: Guide the design of high-performance APIs (FastAPI or similar) for seamless integration with enterprise applications. MLOps Integration: Implement automated MLOps pipelines for deployment, monitoring, and scaling of models in production. CI/CD & Automation: Build automated CI/CD workflows ensuring smooth and frequent production releases. DevOps Practices: Deploy and manage AI models in production using Docker, Kubernetes, Jenkins, Terraform . Security & Compliance: Ensure systems meet data security, privacy, and compliance standards. Leadership & Mentorship: Provide technical guidance, mentor engineering teams, and make key architectural decisions. Cross-Team Collaboration: Partner with Data Science, Data Engineering, DevOps, and Product teams to deliver business-aligned solutions. Key Requirements Experience: 10+ years overall IT experience, with proven expertise in AI/GenAI architecture & solutioning . Programming Skills: Strong proficiency in Python, Pandas, NumPy . AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch , or similar. API Development: Proven expertise in FastAPI or equivalent frameworks. Software Engineering: Strong grounding in coding best practices, version control ( Git ), automated testing, and CI/CD. MLOps: Deep knowledge of model deployment, monitoring, scaling, and optimization workflows. DevOps Tools: Experience with Docker, Kubernetes, Jenkins, Terraform for automation and infrastructure management. Leadership: Demonstrated ability to lead teams, mentor engineers, and drive architectural strategy.

We are hiring: AI Engineer | Location: Hyderabad | Salary: 24 LPA. Role: Build AI Agents, RAG Pipelines, FastAPI Microservices, LLM Solutions (OpenAI, Claude, Gemini, LangChain). Must have strong Python & Docker experience.

You will be joining YASH Technologies, a renowned technology integrator focused on assisting clients in reimagining operating models, enhancing competitiveness, optimizing costs, fostering exceptional stakeholder experiences, and driving business transformation. At YASH, you will be part of a team of talented individuals working with cutting-edge technologies to bring about real positive changes in today's increasingly virtual world, transcending generational gaps and future disruptions. We are currently seeking AI/ML Professionals for the following role: AI Engineer Experience Required: 4+ years As an AI Engineer at YASH, your responsibilities will include: - Designing, developing, and deploying end-to-end machine learning pipelines in cloud-native environments to ensure scalability and reliability. - Collaborating with data scientists to transition ML models from prototype to enterprise-ready solutions. - Optimizing cloud-based data architectures and ML systems for high performance and cost efficiency on platforms such as AWS, Azure, and GCP. - Integrating ML models into existing and new system architectures by designing robust APIs for seamless model consumption. - Implementing MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. - Continuously assessing and improving ML system performance to ensure high availability and minimal downtime. - Staying abreast of AI and cloud trends and collaborating with cloud architects to leverage cutting-edge technologies. Qualifications: - 4+ years of experience in cloud-native ML engineering, deploying, and maintaining AI models at scale. - Hands-on experience with AI cloud platforms such as Azure ML, Google AI Platform, and AWS SageMaker, along with cloud-native services. - Strong programming skills in Python and SQL, expertise in cloud-native tools like Kubernetes and Docker. - Experience in building automated ML pipelines, including data preprocessing, model deployment, and monitoring. - Proficiency in Linux environments and cloud infrastructure management. - Experience in operationalizing GenAI applications or AI assistants is a plus. - Strong problem-solving, organizational, and communication skills. At YASH, you will have the opportunity to build a career in an inclusive team environment that encourages continuous learning and growth. Our Hyperlearning workplace is grounded in flexibility, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, and all the support necessary for achieving business goals. Join us for stable employment in a great atmosphere with an ethical corporate culture.,

You should have at least 5 years of practical experience as an AI Engineer, Machine Learning Engineer, or in a similar role where the primary focus was on developing and implementing AI/ML solutions. Your proficiency in Python and its associated ML/data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch should be strong. Ideally, you should possess extensive hands-on experience with a significant deep learning framework like TensorFlow, PyTorch, or Keras. A solid grasp of machine learning principles, diverse algorithms (like regression, classification, clustering, ensemble methods), and statistical modeling is essential for this role. Experience working with cloud platforms such as AWS, Azure, or GCP, and familiarity with their AI/ML services like SageMaker, Azure ML, and Vertex AI would be beneficial. The key skills required for this position include Data Science, AI Engineer, Machine Learning, Python, AWS, and ML. You should hold a Bachelor's degree in a relevant field. This is a full-time, permanent position with an immediate to 15 days notice period. The job code for this position is GO/JC/686/2025, and the recruiter's name is Sheena Rakesh.,

Description here

As an AI Architect in the Development department, your primary responsibility will be to design, develop, and implement artificial intelligence infrastructure within the organization. You will play a crucial role in ensuring the seamless integration of AI technology to optimize business processes and drive innovation by leveraging machine learning, data science, and related technologies. Your role will involve acting as a bridge between business needs and AI capabilities, considering ethical considerations and best practices. Your key responsibilities will include strategic planning, where you define the overall AI strategy, identify potential use cases, and business opportunities for AI implementation across various departments. You will also be responsible for architecture design, where you develop and document the technical architecture for AI systems, including data pipelines, model selection, training infrastructure, and deployment environments. Additionally, you will evaluate and choose appropriate AI tools, frameworks, and platforms based on specific project requirements and organizational needs. In terms of data management, you will oversee data collection, cleaning, labeling, and preparation for AI model training to ensure data quality and governance. Collaborating with data scientists and machine learning engineers, you will design, train, and optimize AI models, including deep learning algorithms. Your role will also involve integrating AI models into existing systems and applications, ensuring seamless functionality and scalability. Furthermore, you will monitor AI model performance in real-world scenarios, identify potential issues, and implement necessary adjustments while adhering to ethical guidelines related to data privacy, bias detection, and responsible AI development. Desired Skills for this role include a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5+ years of proven experience in big data, analytics, and data science. Previous experience as an AI engineer will be beneficial. Certification in Google Cloud AI platform, Azure AI engineer, or similar AI tools will be an added skill. You should have a deep understanding of machine learning algorithms, statistical analysis, natural language processing, computer vision, and related AI technologies. Expertise in programming languages like Python, Java, and experience with cloud computing platforms like AWS, Azure, or GCP is essential. Strong data analysis skills, including data cleaning, feature engineering, and model evaluation, are required. You should also have the ability to design and implement complex distributed systems, considering scalability and performance optimization. Understanding business needs and translating them into actionable AI solutions, as well as effective communication with both technical and non-technical stakeholders to explain complex AI concepts, are crucial aspects of this role. Additionally, you should be comfortable working for US shifts or any other shifts as per business needs.,

You should have at least 5+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Your proficiency in Python and its relevant ML/data science libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch should be strong. It is essential to have extensive experience with at least one major deep learning framework like TensorFlow, PyTorch, or Keras. A solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling is necessary. Additionally, you should have experience with cloud platforms like AWS, Azure, GCP, and their AI/ML services such as SageMaker, Azure ML, and Vertex AI. The role requires skills in Data Science, AI, ML, Python, and AWS. Your educational background should include a Bachelor's Degree. This position is in the IT Services & Consulting industry, specifically in the functional area of IT-Software. The employment type is Full Time and Permanent. The job code for this position is GO/JC/686/2025, and the recruiter's name is Sheena Rakesh.,

We are looking for an experienced AI Engineer to join our team and lead the development of cutting-edge AI solutions, particularly focusing on Generative AI and its applications in the legal domain. The ideal candidate should have a solid background in constructing and training AI/ML models from the ground up, deploying them in production environments, and working with advanced technologies such as NLP, LLMs, and vector databases. If you have experience in creating AI models, especially custom Large Language Models (LLMs) or domain-specific models, you are well-suited for this role. Your responsibilities will include designing, developing, and training custom AI models, particularly Generative AI and NLP-based models tailored for legal applications. You will also be tasked with implementing techniques to fine-tune and optimize large language models for domain-specific use cases, building models from scratch as necessary while ensuring scalability, accuracy, and efficiency. Additionally, you will design and implement AI-driven systems using Python and frameworks like FastAPI and Django for robust API development, as well as develop and integrate vector databases for semantic search, embeddings, and retrieval-augmented generation (RAG). Furthermore, you will manage data pipelines, including preprocessing and cleansing unstructured text such as legal documents, contracts, and case law. Working with SQL and PostgreSQL databases for structured data storage and retrieval will also be a part of your role. You will develop generative solutions for tasks like document summarization, legal drafting, knowledge extraction, and automated reasoning, leveraging modern transformer architectures such as GPT, BERT, LLaMA, Falcon, among others, to build advanced capabilities. Collaboration with product, legal, and engineering teams to comprehend requirements and deliver solutions in an Agile environment using tools like Jira and GitHub is essential. Mentoring junior engineers and contributing to knowledge sharing within the team are also key responsibilities. Staying updated with the latest advancements in AI, LLMs, RAG, and Generative AI technologies and applying them to real-world scenarios, as well as proposing innovative solutions to enhance the efficiency, accuracy, and scalability of existing systems are also expected from you. Preferred qualifications for this role include a Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields, strong expertise in Python programming, familiarity with frameworks like FastAPI and Django, experience with TensorFlow, PyTorch, Hugging Face, and preferred knowledge of LangChain. Additionally, experience with databases like MySQL, PostgreSQL, and exposure to Vector Stores (e.g., Pinecone, Weaviate, FAISS), as well as familiarity with containerization (Docker), CI/CD pipelines, and tools like GitHub, Jira, and Agile methodology are preferred. Candidates with 8+ years of experience in AI/ML engineering, a proven track record of building and deploying custom AI models into production, hands-on experience with Generative AI, LLM fine-tuning, and retrieval-augmented generation (RAG) are highly encouraged to apply. Experience with cloud platforms (AWS, Azure, GCP) for AI deployments, knowledge of MLOps practices for model lifecycle management, contributions to open-source AI/ML projects, and prior experience in developing legal-specific AI tools or solutions are considered advantageous for this role.,

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

About us -Coders Brain is a global leader in its services, digital and business solutions that partners with its clients to simplify, strengthen and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise and a global network of innovation and delivery centers. We achieved our success because of how successfully we integrate with our clients. Quick Implementation - We offer quick implementation for the new onboarding client. Experienced Team - We've built an elite and diverse team that brings its unique blend of talent, expertise, and experience to make you more successful, ensuring our services are uniquely customized to your specific needs. One Stop Solution - Coders Brain provides end-to-end solutions for the businesses at an affordable price with uninterrupted and effortless services. Ease of Use - All of our products are user friendly and scalable across multiple platforms. Our dedicated team at Coders Brain implements keeping the interest of enterprise and users in mind. Secure - We understand and treat your security with utmost importance. Hence we blend security and scalability in our implementation considering long term impact on business benefit. Exp- 4+ Yrs Role- AI Engineer Location- Pune Permanent-Codersbrain Technology Pvt Ltd Client:- Mobilefirst JobDescription Must Have:AI Enginner

Proficiency in C#/.NET Core , React.js , and Python . Experience with PostgreSQL and relational database design. Strong understanding of Microservice Architecture and RESTful API development. Hands-on experience with Docker and Kubernetes . Familiarity with GitHub Copilot and AI-assisted coding tools. Experience with Keras , PyTorch , and other ML frameworks. Exposure to AI/ML and Generative AI concepts. Ability to conduct ML research and implement algorithms. Skilled in statistical analysis and model fine-tuning. Knowledge of data selection and representation techniques. Experience in extending ML libraries and retraining models. Solid grasp of software engineering best practices and agile methodologies. Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related field. Experience with cloud platforms (Azure, AWS, GCP). Contributions to open-source projects or technical blogs. Required Skills: Proficiency in C#/.NET Core , React.js , and Python . Experience with PostgreSQL and relational database design. Strong understanding of Microservice Architecture and RESTful API development. Hands-on experience with Docker and Kubernetes . Familiarity with GitHub Copilot and AI-assisted coding tools. Experience with Keras , PyTorch , and other ML frameworks. Exposure to AI/ML and Generative AI concepts. Ability to conduct ML research and implement algorithms. Skilled in statistical analysis and model fine-tuning. Knowledge of data selection and representation techniques. Experience in extending ML libraries and retraining models. Solid grasp of software engineering best practices and agile methodologies. Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related field. Experience with cloud platforms (Azure, AWS, GCP). Contributions to open-source projects or technical blogs.

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

You will be part of our expanding Technology team at ShyftLabs, where we are seeking an AI Engineer to develop and implement AI-powered applications at scale. As a pragmatic problem solver with strong backend engineering skills, you will apply AI concepts and frameworks to design, develop, and optimize solutions that address complex business challenges for our clients. ShyftLabs is a leading data and AI company specializing in data platforms, machine learning models, and AI-powered automation. We provide consulting, prototyping, solution delivery, and platform scaling services to Fortune 500 clients, helping them transform their data into actionable insights. Your responsibilities will include researching, designing, and developing AI-powered applications, integrating AI models into scalable production environments, collaborating with cross-functional teams, optimizing AI implementations for performance and cost efficiency, ensuring AI systems meet quality standards, and staying updated with the latest AI tools and frameworks for proposing innovative solutions. Documenting technical processes and implementations will also be crucial for knowledge sharing within the team. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field, with a strong software engineering background and at least 3 years of experience building applications at scale. You must have proven experience in implementing and deploying AI solutions in production environments, proficiency in programming languages like Python, JavaScript, or Java, familiarity with modern AI frameworks and tools, understanding of software design patterns, API development, and system architecture, knowledge of containerization technologies and cloud platforms for AI development, strong problem-solving skills, and the ability to translate business requirements into technical solutions. At ShyftLabs, we offer a competitive salary and a comprehensive insurance package. We are committed to the growth of our employees and provide extensive learning and development resources to support their professional development.,

We are hiring experienced AI Engineers for a full-time, 6-month on-premise role in Bengaluru (Electronic City) The role involves working on AI/ML solutions with open-source LLMs such as LLaMA, DeepSeek, and Mistral Strong Python programming skills, including data structures and algorithmic problem-solving, are essential Candidates must be comfortable deploying models on-premise and solving system-level challenges in Python Fine-tuning of LLMs, performance optimization, and working in Linux environments are desirable The role is hands-on and requires excellent analytical thinking and full-time office presence

We are hiring for the position of Machine Learning Engineer and the role is based out Bangalore Shift Timings - General Shift Interested Candidates can send CV directly at Pratibha@myndsol.com Responsibilities: 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domains business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications: Required: 5+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems

As an LLM Expert with 3+ years of experience, you should have a strong background in designing and tuning advanced models. You must have at least 3 years of experience in LLM, NLP Models, and Machine Learning, along with 2.5 years of experience in AI. Excellent communication skills are essential for this role, as well as previous experience in team handling. Professionals with backgrounds such as Datascientist, Data Annotator AI, and AI Engineer are encouraged to apply. This position is based in Bangalore and is a full-time role with a day shift schedule. The work location is in person.,

Looking for AI engineer , between 4-6 years of experience. Location is Pune (Onsite) Bengaluru (Hybrid) You can reach out to 9718077340