1829 Mlflow Jobs - Page 10

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

AI Model Development & Support : Assist in fine-tuning LLMs and building innovative, prompt-driven solutions using Azure OpenAI. Develop robust data preprocessing pipelines, focusing on data cleaning, tokenization, and normalization. Contribute to the implementation of RAG pipelines and Azure Document Intelligence solutions. MLOps & Lifecycle Management : Support the implementation and maintenance of Azure ML Pipelines, leveraging MLflow and DVC for efficient version control and experiment tracking. Assist in monitoring AI model performance using Azure Monitor and Application Insights to ensure optimal operation. Maintain and manage AI notebooks and experiments effectively within Azure AI Studio (Foundry). Collaboration & Continuous Learning : Work closely with Senior AI Engineers, Data Scientists, and teams like DataOps and PlatformOps. Actively participate in peer reviews, knowledge-sharing sessions, and documentation efforts to foster a collaborative environment. Seize every opportunity to strengthen your AI and MLOps competencies, contributing to your professional growth. Quality Assurance & Delivery Support : Ensure high code quality, adherence to documentation standards, and timely delivery of project milestones. Contribute to rigorous testing, validation, and seamless integration of AI solutions into production environments. (ref:hirist.tech)

You are a Java Developer with AI/ML experience, required to have at least 5+ years of industry experience in Java, Spring Boot, Spring Data, and a minimum of 2 years of AI/ML project or professional experience. You should possess a strong background in developing and consuming REST APIs and asynchronous messaging using technologies like Kafka or RabbitMQ. Your role involves integrating AI/ML models into Java services or making calls to external ML endpoints. You need to have a comprehensive understanding of the ML lifecycle encompassing training, validation, inference, monitoring, and retraining. Familiarity with tools such as TensorFlow, PyTorch, Scikit-Learn, or ONNX is essential. Previous experience in implementing domain-specific ML solutions like fraud detection, recommendation systems, or NLP chatbots is beneficial. Proficiency in working with various data formats including JSON, Parquet, Avro, and CSV is required. You should have a solid grasp of both SQL (PostgreSQL, MySQL) and NoSQL (Redis) database systems. Your responsibilities will include integrating machine learning models (both batch and real-time) into backend systems and APIs, optimizing and automating AI/ML workflows using MLOps best practices, and monitoring model performance, versioning, and rollbacks. Collaboration with cross-functional teams such as DevOps, SRE, and Product Engineering is necessary to ensure smooth deployment. Exposure to MLOps tools like MLflow, Kubeflow, or Seldon is desired. Experience with at least one cloud platform, preferably AWS, and knowledge of observability tools, metrics, events, logs, and traces (e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics) are valuable skills in this role. Thank you. Aatmesh,

AI DEVELOPER LLM Can Work Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their Description : Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as EXPERIENCE : 12 years of experience in AI/ML development with specific focus on NLP and LLM-based ABILITIES & KNOWLEDGE : Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related Information : Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme (ref:hirist.tech)

About The Role We are seeking a highly motivated and experienced Senior Data Scientist to join our growing data science team. This role is ideal for someone who thrives at the intersection of business and technology, has a strong foundation in machine learning, and can drive impactful AI initiatives from concept to production. The ideal candidate will have exposure to the metal or manufacturing industry and is proficient in working with cloud-based ML solutions (preferably Azure). Key Responsibilities Translate complex business problems into data science solutions by working closely with business stakeholders, product teams, and domain experts. Conduct problem scoping, solution framing, and feasibility assessments to define clear ML project goals and success metrics. Perform in-depth exploratory data analysis (EDA) to uncover hidden insights and relationships in large, high-dimensional datasets. Design and implement robust data preprocessing and feature engineering pipelines, using both structured and unstructured data. Develop and validate scalable, production-grade ML models including traditional ML (Random Forests, Gradient Boosting, SVM) and deep learning models (CNNs, RNNs, Transformers). Deploy, monitor, and maintain ML models in production environments using Azure ML (preferred), AWS Sagemaker, or Google Vertex AI. Implement end-to-end ML pipelines integrating data ingestion, preprocessing, training, evaluation, deployment, and monitoring (MLOps). Write clean, reusable, and well-documented code in Python following industry standards and MLOps principles (e.g., CI/CD, model versioning, automated testing). Use version control (e.g., Git), experiment tracking tools (e.g., MLflow), and containerization (Docker/Kubernetes) where applicable. Present technical concepts, insights, and recommendations to business and technical stakeholders in a clear and effective manner. Lead client engagements and influence decision-making through storytelling, data visualization, and domain-specific insights. Mentor and guide junior data scientists on technical approaches, project planning, and model evaluation. Foster a culture of innovation, collaboration, and continuous learning across cross-functional teams. Qualifications Bachelors or Masters degree in Metallurgy, Mechanical Engineering, Computer Science, Information Technology, or related disciplines from a top-tier institution (IIT/NIT or equivalent). 4+ years of hands-on experience in data science, machine learning, or applied AI. Prior work in manufacturing, metallurgy, or industrial domains is highly desirable. Proven track record of building and deploying machine learning solutions at scale (ref:hirist.tech)

Job Summary We are seeking a highly motivated AI/ML Engineer to design, develop, and deploy machine learning solutions that solve real-world problems. Responsibilities The ideal candidate should have strong foundations in machine learning algorithms, Python programming, and experience with model development, data pipelines, and production deployment in cloud or on-prem Responsibilities : Design and implement machine learning models and AI solutions for business use cases. Build and optimize data preprocessing pipelines for training and inference. Train, evaluate, and fine-tune supervised, unsupervised, and deep learning models. Collaborate with data engineers, product teams, and software developers. Deploy ML models into production using APIs, Docker, or cloud-native tools. Monitor model performance and retrain/update models as needed. Document model architectures, experiments, and performance metrics. Research and stay updated on new AI/ML trends and tools. Required Skills And Experience Strong programming skills in Python (NumPy, Pandas, Scikit-learn, etc. Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch. Solid understanding of machine learning algorithms, data structures, and statistics. Experience with NLP, computer vision, or time series analysis is a plus. Familiarity with tools like Jupyter, MLflow, or Weights & Biases. Understanding of Docker, Git, and RESTful APIs. Experience with cloud platforms such as AWS, GCP, or Azure. Strong problem-solving and communication skills. Nice To Have Experience with MLOps tools and concepts (CI/CD for ML, model monitoring). Familiarity with big data tools (Spark, Hadoop). Knowledge of FastAPI, Flask, or Streamlit for ML API development. Understanding of transformer models (e.g., BERT, GPT) or LLM : Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. Certifications in Machine Learning/AI (e.g., Google ML Engineer, AWS ML Specialty) are a plus. (ref:hirist.tech)

As a Principal Engineer / Architect at our organization, you will be responsible for combining deep technical expertise with strategic thinking to design and implement scalable, secure, and modern digital systems. This senior technical leadership role requires hands-on architecture experience, a strong command of cloud-native development, and a successful track record of leading teams through complex solution delivery. Your role will involve collaborating with cross-functional teams including engineering, product, DevOps, and business stakeholders to define technical roadmaps, ensure alignment with enterprise architecture principles, and guide platform evolution. Key Responsibilities: Architecture & Design: - Lead the design of modular, microservices-based, and secure architecture for scalable digital platforms. - Define and enforce cloud-native architectural best practices using Azure, AWS, or GCP. - Prepare high-level design artefacts, interface contracts, data flow diagrams, and service blueprints. Cloud Engineering & DevOps: - Drive infrastructure design and automation using Terraform or CloudFormation. - Support Kubernetes-based container orchestration and efficient CI/CD pipelines. - Optimize for performance, availability, cost, and security using modern observability stacks and metrics. Data & API Strategy: - Architect systems that handle structured and unstructured data with performance and reliability. - Design APIs with reusability, governance, and lifecycle management in mind. - Guide caching, query optimization, and stream/batch data pipelines across the stack. Technical Leadership: - Act as a hands-on mentor to engineering teams, leading by example and resolving architectural blockers. - Review technical designs, codebases, and DevOps pipelines to uphold engineering excellence. - Translate strategic business goals into scalable technology solutions with pragmatic trade-offs. Key Requirements: Must Have: - 5+ years in software architecture or principal engineering roles with real-world system ownership. - Strong experience in cloud-native architecture with AWS, Azure, or GCP (certification preferred). - Programming experience with Java, Python, or Node.js, and frameworks like Flask, FastAPI, Celery. - Proficiency with PostgreSQL, MongoDB, Redis, and scalable data design patterns. - Expertise in Kubernetes, containerization, and GitOps-style CI/CD workflows. - Strong foundation in Infrastructure as Code (Terraform, CloudFormation). - Excellent verbal and written communication; proven ability to work across technical and business stakeholders. Nice to Have: - Experience in MLOps pipelines, observability stacks (ELK, Prometheus/Grafana), and tools like MLflow, Langfuse. - Familiarity with Generative AI frameworks (LangChain, LlamaIndex), Vector Databases (Milvus, ChromaDB). - Understanding of event-driven, serverless, and agentic AI architecture models. - Python libraries such as pandas, NumPy, PySpark and support for multi-component pipelines (MCP). Preferred: - Prior experience leading technical teams in regulated domains (finance, healthcare, govtech). - Cloud security, cost optimization, and compliance-oriented architectural mindset. What You'll Gain: - Work on mission-critical projects using the latest cloud, data, and AI technologies. - Collaborate with a world-class, cross-disciplinary team. - Opportunities to contribute to open architecture, reusable frameworks, and technical IP. - Career advancement via leadership, innovation labs, and enterprise architecture pathways. - Competitive compensation, flexibility, and a culture that values innovation and impact.,

As an AI/ML Engineer, you will be a valuable member of our team, contributing to the development of intelligent systems that harness the power of machine learning and artificial intelligence. Your primary responsibilities will include designing, creating, and implementing machine learning models to address a variety of use cases, such as prediction, classification, NLP, and computer vision. You will collaborate closely with diverse teams to deliver innovative solutions that tackle real-world challenges effectively. Your key responsibilities will involve: - Designing and implementing machine learning models and algorithms for different applications. - Analyzing and preprocessing extensive datasets to establish resilient training pipelines. - Staying abreast of the latest advancements in AI/ML through research and integrating relevant techniques into projects. - Training, fine-tuning, and optimizing models to ensure high performance and scalability. - Deploying models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Working alongside software engineers, data scientists, and product teams to seamlessly integrate AI/ML solutions into applications. - Monitoring model performance in production, continuously iterating for enhancements, and documenting design decisions, code, and models for transparency and reproducibility. Preferred qualifications for this role include: - Proficiency in NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). - Familiarity with deep learning architectures like CNNs, RNNs, GANs, or transformer models. - Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). - Previous contributions to open-source AI/ML projects or publications in relevant conferences/journals. If you are passionate about AI/ML technologies and eager to work on cutting-edge solutions that make a meaningful impact, we encourage you to apply for this exciting opportunity to join our dynamic team.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

As a GEN AI and Machine Learning Engineer, you will be responsible for leveraging your Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field to develop and deploy machine learning and AI models. With a solid foundation in mathematics, statistics, and probability, you will utilize your strong programming skills in Python and proficiency in SQL/NoSQL databases to build analytical approaches based on business requirements. Your hands-on experience with Agentic AI frameworks will be crucial in building AI-driven features and solutions by collaborating with software engineers, business stakeholders, and domain experts. You will have the opportunity to work with Generative AI models and tools like OpenAI, Google Gemini, and Runway ML, in addition to AI/ML and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras. In this role, you will preprocess and analyze large-scale datasets to extract meaningful insights, identify trends, and develop RESTful APIs using Flask or Django. Proficiency in cloud environments like AWS, Azure, or GCP will be essential as you deploy AI/ML applications and continuously monitor model performance for accuracy, scalability, and generalization. Additionally, your familiarity with ML operations tools such as MLFlow, Kubeflow, and CI/CD pipelines will be advantageous in evaluating and optimizing model performance. Experience with Docker, Kubernetes, and container orchestration, as well as frontend technologies like HTML, CSS, JavaScript/jQuery, Node.js, Angular, or React, will be beneficial for this role. Overall, as a GEN AI and Machine Learning Engineer, you will play a key role in designing, developing, and deploying AI/ML, NLP/NLU, and deep learning models and applications. Your ability to document development processes, results, and best practices will contribute to transparency and continuous learning within the organization.,

As a ML Engineer at DSP specializing in Predictive Maintenance at Vanderlande in Veghel, you will be part of the Digital Service Platform team contributing to the development of data-driven services and solutions. Vanderlande, a leading provider of baggage handling systems for airports and parcel handling systems, deals with massive amounts of data on a daily basis. Your role will involve collaborating with a diverse team to optimize customer asset usage and maintenance, thereby impacting performance, cost, and sustainability KPIs by extending component lifetimes. In this position, you will work closely with Data Scientists, Machine Learning Engineers, Data Engineers, and other professionals to design and implement data and machine learning pipelines for Predictive Maintenance solutions. Your responsibilities will include developing, testing, and documenting data pipelines, building scalable pipelines for machine learning models, integrating machine learning models into production pipelines, and continuously improving data and ML services for customer sites. To qualify for this role, you should have a minimum of 4 years" experience in building complex data pipelines and integrating machine learning solutions, along with a Bachelor's or Master's degree in Computer Science, IT, Data Science, or a related field. Proficiency in Java, Scala, and Python, as well as experience with stream processing frameworks like Spark and cloud platforms like Azure and Databricks, are required. Additionally, familiarity with MLOps practices, ML frameworks such as TensorFlow and PyTorch, and data quality management is essential. Working at Vanderlande will provide you with the opportunity to be at the forefront of data-driven innovation in a global organization. You will collaborate with a talented and diverse team to design and implement cutting-edge solutions, expanding your expertise in data engineering and machine learning in an industrial setting. If you are passionate about leveraging data and machine learning to drive innovation, we look forward to receiving your application.,

AI DEVELOPER LLM SPECIALIST Full-time Company Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their capabilities. For more details visit https://www.rmgx.in/ Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. WORK EXPERIENCE 12 years of experience in AI/ML development with specific focus on NLP and LLM-based applications. Skills, Abilities & Knowledge Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc.) Proficiency in working with closed-source models via APIs (e.g., OpenAI, Gemini) Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) Familiarity with MLOps and version control tools (Git, MLflow, etc.) Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setup. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks And Benefits Flexible working hours Saturday and Sundays are fixed off Health Insurance and Personal Accident Insurance BYOD (Bring Your Own Device) Benefit Laptop Buyback Scheme

Job Title: Senior DevOps & MLOps Engineer (AWS | CI/CD | Python/Bash) Experience : 8-11 Years Employment Type : Full-time Job Summary We are looking for an experienced and highly skilled Senior DevOps & MLOps Engineer to join our team. The ideal candidate will have strong expertise in AWS cloud infrastructure , CI/CD pipelines , MLOps practices , and scripting (Python/Bash) to support scalable, secure, and reliable ML model deployment and platform operations. You will work closely with data scientists, ML engineers, and software developers to streamline AI/ML lifecycle management from experimentation to production. Key Responsibilities Design, implement, and maintain cloud-native infrastructure on AWS, including compute, networking, and security. Develop and manage CI/CD pipelines using tools like GitLab CI/CD, Jenkins, CodePipeline, or GitHub Actions. Set up and manage end-to-end MLOps workflows, including model training, versioning, deployment, monitoring, and rollback. Create and manage infrastructure as code (IaC) using Terraform, CloudFormation, or AWS CDK. Implement containerized environments using Docker and Kubernetes (EKS preferred). Automate repetitive tasks and operational processes using Python, Shell, or Bash scripts. Collaborate with ML and application teams to integrate models into production workflows. Monitor system performance and implement robust logging, alerting, and monitoring using CloudWatch, Prometheus, Grafana, or ELK. Ensure security, compliance, and cost-efficiency of cloud infrastructure. Troubleshoot and resolve issues in dev/test/prod environments. Required Skills & Qualifications 8-11 years of total experience in DevOps, Cloud Engineering, or MLOps. Strong AWS expertise (EC2, S3, Lambda, IAM, VPC, RDS, EKS, SageMaker, etc.). Proven experience in building and maintaining CI/CD pipelines. Deep understanding of MLOps principles and tools like MLflow, Kubeflow, or SageMaker Pipelines. Proficient in Python and Bash scripting. Experience with containerization and orchestration (Docker, Kubernetes). Familiarity with infrastructure as code (Terraform, CloudFormation, CDK). Good understanding of DevSecOps and security best practices. Hands-on with monitoring/logging tools (CloudWatch, ELK Stack, Prometheus, etc.). Experience in working in Agile/Scrum environments. Preferred Qualifications AWS Certification (Solutions Architect, DevOps Engineer, or equivalent). Exposure to DataOps, Data Engineering, or Feature Store implementations. Experience with on-prem to cloud migration. Knowledge of serverless architectures.

We are seeking a skilled Lead Software Engineer to join our team and lead a project focused on developing GenAI applications using Large Language Models (LLMs) and Python programming . In this role, you will be responsible for designing and optimizing Al-generated text prompts to maximize effectiveness for various applications. You will also collaborate with cross-functional teams to ensure seamless integration of optimized prompts into the overall product or system. Your expertise in prompt engineering principles and techniques will allow you to guide models to desired outcomes and evaluate prompt performance to identify areas for optimization and iteration. Responsibilities Design, develop, test and refine AI-generated text prompts to maximize effectiveness for various applications Ensure seamless integration of optimized prompts into the overall product or system Rigorously evaluate prompt performance using metrics and user feedback Collaborate with cross-functional teams to understand requirements and ensure prompts align with business goals and user needs Document prompt engineering processes and outcomes, educate teams on prompt best practices and keep updated on the latest AI advancements to bring innovative solutions to the project Requirements 7 to 12 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow 2-5 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English at a B2+ level for collaborating across teams, explaining technical concepts, and documenting work outcomes

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* The Data Analytics Strategy platform and decision tool team is responsible for Data strategy for entire CSWT and development of platforms which supports the Data Strategy. Data Science platform, Graph Data Platform, Enterprise Events Hub are key platforms of Data Platform initiative. Job Description* We're seeking a highly skilled AI/ML Platform Engineer to architect and build a modern, scalable, and secure Data Science and Analytical Platform. This pivotal role will drive end-to-end (E2E) model lifecycle management, establish robust platform governance, and create the foundational infrastructure for developing, deploying, and managing Machine Learning models across both on-premise and hybrid cloud environments. Responsibilities* Lead the architecture and design for building scalable, resilient, and secure distributed applications ensuring compliance with organizational technology guidelines, security standards, and industry best practices like 12-factor principles and well-architected framework guidelines. Actively contribute to hands-on coding, building core components, APIs and microservices while ensuring high code quality, maintainability, and performance. Ensure adherence to engineering excellence standards and compliance with key organizational metrics such as code quality, test coverage and defect rates. Integrate secure development practices, including data encryption, secure authentication, and vulnerability management into the application lifecycle. Work on adopting and aligning development practices with CI/CD best practices to enable efficient build and deployment of the application on the target platforms like VMs and/or Container orchestration platforms like Kubernetes, OpenShift etc. Collaborate with stakeholders to align technical solutions business requirements, driving informed decision-making and effective communication across teams. Mentor team members, advocate best practices, and promote a culture if continuous improvement and innovation in engineering processes. Develop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams. Propose/Build variety of efficient Data pipelines to support the ML Model building & deployment. Propose/Build automated deployment pipelines to enable self-help continuous deployment process for the Data Science teams. Analyze, understand, execute and resolve the issues in user scripts / model / code. Perform release and upgrade activities as required. Well versed in the open-source technology and aware of emerging 3rd party technology & tools in AI-ML space. Ability to fire fight, propose fix, guide the team towards day-to-day issues in production. Ability to train partner Data Science teams on frameworks and platform. Flexible with time and shift to support the project requirements. It doesn’t include any night shift. This position doesn’t include any L1 or L2 (first line of support) responsibility. Requirements* Education* Graduation / Post Graduation: BE/B.Tech/MCA/MTech Certifications If Any: FullStack Bigdata Experience Range* 11+ Years Foundational Skills* Microservices & API Development: Strong proficiency in Python, building performant microservices and REST APIs using frameworks like FastAPI and Flask . API Gateway & Security: Hands-on experience with API gateway technologies like Apache APISIX (or similar, e.g., Kong, Envoy) for managing and securing API traffic, including JWT/OAuth2 based authentication . Observability & Monitoring: Proven ability to monitor, log, and troubleshoot model APIs and platform services using tools such as Prometheus, Grafana , or the ELK/EFK stack . Policy & Governance: Proficiency with Open Policy Agent (OPA) or similar policy-as-code frameworks for implementing and enforcing governance policies. MLOps Expertise: Solid understanding of MLOps capabilities , including ML model versioning, registry, and lifecycle automation using tools like MLflow, Kubeflow , or custom metadata solutions. Multi-Tenancy: Experience designing and implementing multi-tenant architectures for shared model and data infrastructure. Containerization & Orchestration: Strong knowledge of Docker and Kubernetes for containerization and orchestration. CI/CD & GitOps: Familiarity with CI/CD tools and GitOps practices for automated deployments and infrastructure management. Hybrid Cloud Deployments: Understanding of hybrid deployment strategies across on-premise virtual machines and public cloud platforms ( AWS, Azure, GCP ). Data science workbench understanding: Basic understanding of the requirements for data science workloads (Distributed training frameworks like Apache Spark, Dash, and IDE’s like Jupyter notebooks abd VScode) Desired Skills* Security Architecture: Understanding of zero-trust security architecture and secure API design patterns. Model Serving Frameworks: Knowledge of specialized model serving frameworks like Triton Inference Server . Vector Databases: Familiarity with Vector databases (e.g., Redis, Qdrant) and embedding stores. Data Lineage & Metadata: Exposure to data lineage and metadata management using tools like DataHub or OpenMetadata Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Utilizes multiple architectural components (across data, application, business) in design and development of client requirements. Performs Continuous Integration and Continuous Development (CI-CD) activities. Contributes to story refinement and definition of requirements. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. Extensive hands on supporting platforms to allow modelling and analysts go through the complete model lifecycle management (data munging, model develop/train, governance, deployment) Experience with model deployment, scoring and monitoring for batch and real-time on various different technologies and platforms. Experience in Hadoop cluster and integration includes ETL, streaming and API styles of integration. Experience in automation for deployment using Ansible Playbooks, scripting. Experience with developing and building RESTful API services in an efficient and scalable manner. Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN for large volumes of data (TBs) Experience designing and building full stack solutions utilizing distributed computing or multi-node architecture for large datasets (terabytes to petabyte scale) Experience with processing and deployment technologies such YARN, Kubernetes /Containers and Serverless Compute for model development and training Hands on experience working in a Cloud Platform (AWS/Azure/GCP) to support the Data Science Effective communication, Strong stakeholder engagement skills, Proven ability in leading and mentoring a team of software engineers in a dynamic environment. Work Timings* 11:30 AM to 8:30 PM IST Job Location* Hyderabad

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate/FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 24, 2025, 4:29:40 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

AI Technical Lead Job Summary : We are seeking an experienced and innovative AI Technical Lead to drive the design, development, and deployment of AI-powered solutions across our organization. You will be responsible for leading a team of machine learning engineers, data scientists, and software developers, while collaborating with cross-functional teams to build scalable and intelligent products. Your role will blend hands-on technical expertise with leadership and strategic thinking. Key Responsibilities:  Lead the end-to-end technical delivery of AI/ML projects, from data ingestion to model deployment.  Design robust machine learning and deep learning models tailored to business needs.  Collaborate with product managers, stakeholders, and engineering teams to identify opportunities for AI applications.  Guide and mentor AI/ML engineers and developers; provide architectural and technical direction.  Establish best practices for model training, validation, versioning, and monitoring.  Ensure scalability, performance, and security of AI solutions in production environments.  Stay up to date with the latest AI trends, tools, and research; apply innovations where appropriate.  Review and approve technical design documents, code, and model performance metrics. Required Qualifications:  Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.  5+ years of experience in software development, with at least 2+ years in leading AI/ML teams or projects.  Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.  Experience deploying models in production using platforms like AWS SageMaker, Azure ML, or Google Vertex AI.  Solid understanding of data structures, algorithms, and software design principles.  Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).  Excellent communication skills with the ability to articulate complex concepts to non technical stakeholders. Preferred Qualifications:  Experience with LLMs, generative AI, or computer vision.  Background in big data technologies (e.g., Spark, Hadoop).  Published research or contributions to open-source AI projects.  Experience in regulated industries (e.g., healthcare, finance) is a plus. Job Type: Full-time Pay: ₹994,358.97 - ₹3,049,952.92 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work Location: In person

10+ Experience required only Key Responsibilities Design and implement machine learning models for intelligent document processing. Work on advanced NLP and transformer-based models for high-accuracy data extraction. Develop and maintain workflows for Record of Processing Activities (RoPA), DPIAs, and consent management. Lead AI model development life cycle including data preparation, model training, fine-tuning, and evaluation. Collaborate with cross-functional teams to gather requirements and deploy AI-driven solutions. Participate in platform development roadmaps, release planning, and client interaction. Stay updated with AI trends and contribute to the company’s innovation strategy. Technical Skills Required Proficient in Python for data science and machine learning applications. Strong experience with NLP tools and frameworks like PyTorch or TensorFlow. Hands-on experience with LLMs and model fine-tuning, prompt engineering, LoRA, quantization, etc. Familiarity with tools such as MLflow, Docker, and FastAPI. Experience with building and deploying AI models for document understanding and automation. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience in developing AI solutions in industries like Financial Services, Healthcare, or Consumer Tech. Prior work with multi-modal AI systems (NLP + Computer Vision) is a plus. Soft Skills Excellent problem-solving and analytical skills. Strong written and verbal communication. Comfortable with client interactions and presentations. Ability to work independently and lead small project teams. Job Type: Full-time Pay: ₹1,200,000.00 - ₹3,000,000.00 per year Schedule: Day shift Fixed shift

Job Title: AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities ● Design, develop, and deploy machine learning models for various business use cases. ● Analyze large and complex datasets to extract meaningful insights. ● Implement data preprocessing, feature engineering, and model evaluation pipelines. ● Work with product and engineering teams to integrate ML models into production environments. ● Conduct research to stay up to date with the latest ML and AI trends and technologies. ● Monitor and improve model performance over time. Required Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ● Minimum 3 years of hands-on experience in building and deploying machine learning models. ● Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. ● Experience with training, fine-tuning, and evaluating ML models in real-world applications. ● Proficiency in Large Language Models (LLMs) – including experience using or fine-tuning models like BERT, GPT, LLaMA, or open-source transformers. ● Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. ● Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. ● Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). ● Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. ● Strong communication skills and the ability to work collaboratively in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Ai/ML: 2 years (Preferred) Work Location: In person

We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems. Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems. Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate. Optimize models for performance, scalability, and robustness. Document methodologies, experiments, and findings clearly for both technical and non-technical audiences. Mentor junior ML engineers or data scientists as needed. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (Ph.D. is a plus). Minimum of 5 hands-on ML/AI projects, preferably in production or with real-world datasets. Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost. Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure). Strong data manipulation and analysis skills using Pandas, NumPy, and SQL. Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing. Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.). Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks. Experience working in Fintech environments would be a plus. Strong problem-solving mindset with excellent communication skills. Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering. Why Join Us: Work on impactful, real-world AI challenges. Collaborate with a passionate and innovative team. Opportunities for career advancement and learning. Flexible work environment (remote/hybrid options). Competitive compensation and benefits. Job Category: Machine Learning Job Type: Full Time Job Location: Chennai

Industry: IT Qualification: Masters in Data Science, AI, ML, - Background in Computer Science, Electronics Required Skills: AI/ML, Python, Cloud Paltforms Working Shift: 10am to 7pm IST City: Coimbatore Country: India Name of the position: Data Scientist Location: Coimbatore No. of resources needed : 01 Mode: Fulltime Years of experience: 4+ Years Overview We are seeking a highly skilled and motivated Data Scientist to join our growing AI and Data team. In this role, you will design, develop, and deploy advanced AI and machine learning models using modern frameworks and cloud platforms. You will work closely with cross-functional teams to integrate AI-driven solutions into core business processes and stay abreast of the latest trends in generative AI, LLMs, and Agentic AI. Key Responsibilities Design, develop, and deploy AI/ML models using technologies such as GenAI, FAST API, and AWS/GCP services (e.g., Lambda, SageMaker, Microsoft AI Studio). Implement model versioning, monitoring, and performance tracking to maintain data accuracy and reliability. Collaborate with engineers, data scientists, and domain experts to integrate AI solutions into business operations. Build and maintain high-quality, secure, and scalable data pipelines. Continuously review and apply the latest advancements in Agentic AI, LLMs, and AI research to improve model capabilities. Optimize machine learning workflows for cloud environments (AWS, GCP, or Azure). Contribute to AI architecture planning and best practices. Required Skills : Minimum 4+ years of experience in data science and AI/ML. Strong programming skills in Python. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Proficiency in machine learning algorithms, model training, and deployment. Experience with model versioning and monitoring tools (e.g., MLflow, Weights & Biases). Strong problem-solving and analytical capabilities. Experience with REST APIs and ML model integration. Domain experience in medicine or insurance. Familiarity with Large Language Models (LLMs) and Agentic AI systems. Exposure to backend technologies and microservice development. Advanced degree (Master’s preferred) in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or related field.

Role Overview: We are looking for a skilled Deep Learning Engineer with hands-on experience in object detection and segmentation models . The ideal candidate should be proficient in model development, data preparation, and deployment in real-time environments. Key Responsibilities: Implement and fine-tune object detection models (YOLOvX, Faster R-CNN, EfficientDet, SSD, Mask R-CNN). Work on real-time computer vision applications and performance optimization. Annotate and prepare datasets using Roboflow, CVAT, LabelImg, etc. Collaborate on research and development to enhance model performance and robustness. Deploy models using Docker on Linux/Windows systems; edge deployment experience is a plus. Document code, experiments, and deployment processes; collaborate with cross-functional teams. Required Skills: Strong Python programming skills. Experience with TensorFlow, PyTorch, OpenCV, and ONNX. Hands-on with Docker, Linux/Windows environments. Familiarity with model optimization (quantization, pruning). Experience in edge deployments (e.g., NVIDIA Jetson, TensorRT, OpenVINO) is an advantage. Knowledge of experiment tracking tools like MLflow or Weights & Biases is a plus. Qualifications: Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field. Strong analytical, problem-solving, and team collaboration skills. Job Type: Full-time Pay: ₹300,000.00 - ₹1,500,000.00 per year Schedule: Day shift Work Location: In person

Job Title: AI Engineer Location: Kolkata, India Company: GWC (Global We Connect) Job Type: Full-Time Experience Level: Mid to Senior Level Position Summary We are looking for a talented and proactive AI Engineer to join our growing team in Kolkata. As an AI Engineer at GWC, you will work closely with data scientists, software developers, and product managers to design, develop, and deploy AI/ML models that solve real-world business problems across various domains. Key Responsibilities Design, develop, and deploy scalable machine learning and deep learning models. Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms and applications. Process, clean, and analyze large data sets to uncover trends and patterns. Develop and maintain AI pipelines using tools like TensorFlow, PyTorch, Scikit-learn, etc. Apply NLP, computer vision, or recommendation systems depending on project needs. Research and implement novel algorithms and techniques. Monitor and evaluate model performance and retrain as necessary. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields. 2–5 years of experience in machine learning, AI, or data science roles. Strong programming skills in Python; familiarity with R, Java, or C++ is a plus. Proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Experience with data processing tools like Pandas, NumPy, and SQL. Familiarity with cloud platforms (AWS, Azure, or GCP) and version control systems like Git. Solid understanding of statistical analysis, data modeling, and algorithm design. Excellent problem-solving abilities and communication skills. Preferred Qualifications Experience with MLOps tools such as MLflow, Airflow, or Kubeflow. Background in deploying AI models in production environments (REST APIs, microservices). Exposure to NLP (spaCy, HuggingFace) or computer vision (OpenCV, YOLO, etc.). Contributions to open-source projects or participation in AI research. Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Schedule: Day shift Work Location: In person Application Deadline: 31/07/2025 Expected Start Date: 01/08/2025

Responsibilities Architect and build real-time feature pipelines and model training workflows. Design, train, validate, and deploy RUL predictors, anomaly detectors, and LP-based grid solvers. Implement MLOps best practices: MLflow/Kubeflow pipelines, model registry, canary deployments. Collaborate on explainability modules (SHAP, LIME) and drift-detection alerts. Optimize GPU utilization; automate retraining schedules and performance monitoring. Skills & Experience 3+ years in ML engineering or data science roles; production-grade ML deployments. Expertise in time-series modeling: LSTM, GRU, isolation forest, ensemble methods. Strong Python skills; frameworks: TensorFlow, PyTorch, Scikit-Learn. Experience with Kubernetes-based MLOps: Kubeflow, KServe, MLflow. Proficiency tuning and deploying on NVIDIA GPUs (H100, H200). Nice-to-Have Domain experience in predictive maintenance, grid optimization, or IIoT. Familiar with feature-store design (TimescaleDB, Feast) and Spark-on-GPU. Knowledge of explainability libraries and regulatory compliance for AI.

About Soul AI Pods Deccan AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from top tier institutes like IITs, NITs, and BITS. We’re hiring for our client servicing arm Soul AI. Soul AI has a talent network, known as Soul AI Pods , under which highly skilled & vetted tech talent gets the opportunity to work with top-tier global tech companies. Our client list includes tech giants like Google & Snowflake .Read more about her eResponsibilitie sBuilding agentic system s, LLM pipeline s, or RLHF framework sPackage and deploy models via containerized API s and manage CI/CD pipeline sOwn the end-to-end ML lifecycl e, from data prep to serving to monitorin gCollaborate with product and engineering teams on scalable AI solution sSkill Require d Strong foundation in machine learning, deep learning, and model evaluati onProficient in Python, with experience in PyTorch, TensorFlow, and scikit-lea rnSkilled in data preprocessing, feature engineering, and SQL-based data handli ngFamiliar with deploying APIs using Docker, FastAPI, and managing version control with G itExperience with cloud platforms (AWS/GCP/Azure) and ML model deployment at sca leUnderstanding of MLOps tools (MLflow, Kubeflow) and CI/CD workflows for ML syste ms Application & Other Deta ilsTo apply, fill t he Soul AI Pods Interest F ormYou will be invited for selection process → R1: Test, R2: AI Interview, R3: 1:1 Interv iewWe are hiring for full-time or long Contract (40 hrs/week) hybrid ro lesWe are hiring across different seniority lev elsYou will work on a key client project (Top-tier tech consulting fi rm)