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24.0 years

0 - 5 Lacs

Noida

On-site

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for? Bachelor's/Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work? Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

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14.0 years

0 Lacs

Noida

On-site

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You’ll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer’s AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You’ll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer’s AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer’s platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

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6.0 years

0 Lacs

India

Remote

Job Title: AI/ML Engineer Experience: 6+ Years Location: Remote Employment Type: Full-Time Job Summary: We are looking for a passionate and experienced AI/ML Engineer with 6+ years of hands-on experience in developing, deploying, and optimizing machine learning and deep learning models. The ideal candidate should have strong software engineering fundamentals, experience with end-to-end ML pipelines, and a deep understanding of AI/ML concepts. This is a remote position with the opportunity to work in a fast-paced, collaborative, and innovative environment. Key Responsibilities: Design, develop, and deploy machine learning models for real-world business use cases. Build end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment. Work with large-scale datasets using distributed computing tools like Spark or Dask. Deploy models in production using tools like Docker, Kubernetes, and cloud services (AWS/GCP/Azure). Collaborate with data scientists, data engineers, product managers, and software engineers. Optimize model performance, reduce latency, and ensure robustness in real-time environments. Research and experiment with new algorithms and ML approaches to improve existing solutions. Mandatory Skills: Programming Languages: Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), and working knowledge of SQL . ML/AI Skills: Strong understanding of supervised/unsupervised learning, deep learning (CNNs, RNNs, Transformers), NLP, and classical ML algorithms. Model Deployment: Experience with model serving frameworks (FastAPI, Flask, TensorFlow Serving, TorchServe) and MLOps practices. Cloud Platforms: Hands-on experience with at least one major cloud provider ( AWS, Azure, or GCP ) for AI/ML workloads. Tools & Frameworks: Familiarity with MLFlow, Airflow, DVC, Docker, Kubernetes. Data Handling: Experience with handling large datasets, data cleaning, feature engineering, and working with structured/unstructured data. Preferred Qualifications: Experience with Vector Databases , LLMs , LangChain , or Generative AI solutions. Knowledge of CI/CD in ML workflows and Infrastructure as Code (e.g., Terraform). Background in statistics, optimization , and experiment design . Exposure to Big Data tools like Spark, Hive, or Hadoop is a plus. Published papers, GitHub contributions, or Kaggle competition experience is an advantage.

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5.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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5.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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2.0 years

0 Lacs

Bengaluru, Karnataka, India

Remote

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities As a Machine Learning engineer, you will independently work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality for Atlassian. Your daily responsibilities will encompass a broad spectrum of tasks such as understanding system and model architectures, conducting rigorous experimentation and model evaluations and dealing with related problems. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across Atlassian products and platforms. What You’ll Do As an associate Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality into various tools/platform. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. Qualifications On the first day, we'll expect you to have Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience). 2+ years of related industry experience in the data science domain. Familiarity in Python/Java/Golang/Typescript with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, GCloud, Databricks). Familiarity with LLMs (prompt engineering, RAG), AirFlow, MLFlow, model inferencing, ONNX pipelines will be preferred. Great verbal and written communication skills along with the ability to explain complex data science and ML concepts to diverse audiences. Ability to craft compelling stories with data. Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future". Agile development mindset, appreciating the benefit of constant iteration and improvement. Preference for folks who have worked prior in remote and/or hybrid environments. Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

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2.0 years

0 Lacs

Bengaluru, Karnataka, India

Remote

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your future team Transformations AI foundations is a core pillar inside the DevInfra org. Its purpose is to build AI-powered developer productivity tools for internal and external customers. Responsibilities As a Machine Learning engineer, you will independently work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality for Atlassian. Your daily responsibilities will encompass a broad spectrum of tasks such as understanding system and model architectures, conducting rigorous experimentation and model evaluations and dealing with related problems. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across Atlassian products and platforms. What You’ll Do As an associate Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality into various tools/platform. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. Qualifications On the first day, we'll expect you to have Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience). 2+ years of related industry experience in the data science domain. Familiarity in Python/Java/Golang/Typescript with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, GCloud, Databricks). Familiarity with LLMs (prompt engineering, RAG), AirFlow, MLFlow, model inferencing, ONNX pipelines will be preferred. Great verbal and written communication skills along with the ability to explain complex data science and ML concepts to diverse audiences. Ability to craft compelling stories with data. Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future". Agile development mindset, appreciating the benefit of constant iteration and improvement. Preference for folks who have worked prior in remote and/or hybrid environments. Our Perks & Benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh .

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4.0 - 6.0 years

0 Lacs

Ahmedabad, Gujarat, India

On-site

Job Description : Machine Learning Engineer LLM, Agentic AI, Computer Vision, and MLOps Location : Ahmedabad Experience : 4 to 6 years Employment Type : Us : Responsibilities Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, wed love to have you on Responsibilities : Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency. Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation. Integration: Work closely with software and product teams to integrate models into production-ready applications. Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data. Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices. Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI. DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place. Technical Mentorship: Support and mentor junior ML and data : Core Technical Skills Strong Python skills for machine learning and computer vision. Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV. Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN). Strong knowledge of NLP tasks, image/video processing, and real-time inference. Experience in cloud platforms: AWS, GCP, or Azure. Familiarity with Docker, Kubernetes, and serverless deployments. Proficiency in SQL, Pandas, NumPy, and data wrangling & MLOps Skills : Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc. Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Familiarity with container orchestration and Kubernetes-based ML model deployment. Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon. Understanding of model versioning, model registry, and automated testing/validation in ML workflows. Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK Skills (Good to Have) : Knowledge of Agentic AI systems and use cases. Experience with generative models (e.g., GANs, VAEs) and RL-based architectures. Prompt engineering and fine-tuning for LLMs in specialized domains. Working with vector databases (e.g., Pinecone, FAISS, Weaviate). Distributed data processing using Apache Spark, Skills : Strong foundation in mathematics, including linear algebra, probability, and statistics. Deep understanding of data structures and algorithms. Comfortable handling large-scale datasets, including images, video, and multi-modal Skills : Strong analytical and problem-solving mindset. Excellent communication skills for cross-functional collaboration. Self-motivated, adaptive, and committed to continuous learning (ref:hirist.tech)

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10.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Job Description As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Job Responsibilities Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases. Liaise with firm wide AI ML stakeholders. Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements. Influence across business, product and technology teams and successfully manages senior stakeholder relationships. champion the firm's culture of diversity, opportunity, inclusion, and respect. Required Qualifications, Capabilities, And Skills Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise MS and/or PhD in Computer Science, Machine Learning, or a related field At least 10 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on system design from ideation through completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS needed. Preferred Qualifications, Capabilities, And Skills Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Advanced knowledge in Reinforcement Learning or Meta Learning. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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10.0 years

0 Lacs

Greater Kolkata Area

On-site

About Us: We are a Deep Tech AI company at the forefront of innovation, recognized by DPIIT, ISI-Calcutta, and NASSCOM . Our mission is to build cutting-edge solutions powered by Large Language Models (LLMs), Computer Vision, and Machine Learning . With flagship products in Legal AI, Biometric Fraud Prevention, and Geospatial Intelligence, we're scaling rapidly and looking for a visionary CTO to lead our technology roadmap. Role Overview: As the CTO, you will be the driving force behind our technology strategy, product architecture, and engineering execution. You will lead a highly capable team of AI researchers, engineers, and product developers to deliver scalable, secure, and breakthrough deep tech solutions. Key Responsibilities: Technology Strategy & Vision: Define and evolve the company’s technical vision in alignment with business goals. Evaluate and adopt emerging AI/ML trends (especially in LLMs and Computer Vision). Product & Engineering Leadership: Architect and oversee the development of scalable AI systems. Lead the design, development, and deployment of core products in LLMs and Computer Vision. Ensure best practices in AI model development, software engineering, DevOps, and MLOps. Team Building & Management: Mentor and manage engineering, ML, and research teams. Recruit top technical talent and foster a culture of innovation, ownership, and performance. Collaboration & Execution: Work closely with the CEO, product heads, and business leads to translate ideas into reality. Oversee technical partnerships, vendor relationships, and IP development. Required Qualifications: 5–10 years of hands-on experience in AI/ML with a strong foundation in LLMs, NLP, Deep Learning , or Computer Vision . Proven experience building and scaling production-grade AI systems . Strong software architecture, cloud deployment (AWS/GCP/Azure), and data infrastructure skills. Prior experience in a leadership/management role in a startup or product-driven AI company. Expertise with frameworks like TensorFlow, PyTorch, Hugging Face , OpenCV, etc. Strong understanding of data privacy, model explainability, and ethical AI . Preferred Attributes: PhD or Master’s in Computer Science, AI, or a related field. Experience with MLOps tools like MLFlow, Kubeflow, or similar. Published research or open-source contributions in AI/ML/LLM domains. Track record of building and managing tech teams in fast-paced environments. What We Offer: A seat at the leadership table in a fast-growing, impact-driven deep tech company. Generous equity stake and competitive salary. Freedom to experiment, build, and innovate at scale. A high-caliber, mission-driven team working on real-world challenges.

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14.0 years

0 Lacs

Noida, Uttar Pradesh, India

On-site

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.You'll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement — safely, responsibly, and at scale.Join a team that values speed, openness, and ownership — and be part of the company that's changing healthcare through data and AI. About The Role We are looking for a visionary Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccer's AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.You'll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccer's AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccer's platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How We Work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

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4.0 - 5.0 years

5 - 10 Lacs

Mohali

On-site

Job Information Date Opened 06/20/2025 Job Type Full time Industry Education Work Experience 4-5 years City S.A.S.Nagar (Mohali) State/Province Punjab Country India Zip/Postal Code 160062 Job Description Technologies We Work With At Data Couch, you’ll gain exposure to a wide range of modern tools and technologies, including: Big Data: Apache Spark, Hadoop, Hive, HBase, Pig Cloud Platforms: AWS, GCP, Microsoft Azure Programming: Python, Scala, SQL, PySpark DevOps & Orchestration: Kubernetes, Docker, Jenkins, Terraform Data Engineering Tools: Apache Airflow, Kafka, Flink, NiFi Data Warehousing: Snowflake, Amazon Redshift, Google BigQuery Analytics & Visualization: Power BI, Tableau Machine Learning & MLOps: MLflow, Databricks, TensorFlow, PyTorch Version Control & CI/CD: Git, GitLab CI/CD, CircleCI Key Responsibilities Design, build, and maintain robust and scalable data pipelines using PySpark Leverage Hadoop ecosystem (HDFS, Hive, etc.) for big data processing Develop and deploy data workflows in cloud environments (AWS, GCP, or Azure) Use Kubernetes to manage and orchestrate containerized data services Collaborate with cross-functional teams to develop integrated data solutions Monitor and optimize data workflows for performance, reliability, and security Follow best practices for data governance, compliance, and documentation Requirements Must-Have Skills Proficiency in PySpark for ETL and data transformation tasks Hands-on experience with at least one cloud platform (AWS, GCP, or Azure) Strong grasp of Hadoop ecosystem tools such as HDFS, Hive, etc. Practical experience in Kubernetes for service orchestration Proficiency in Python and SQL Experience working with large-scale, distributed data systems Familiarity with tools like Apache Airflow, Kafka, or Databricks Experience working with data warehouses like Snowflake, Redshift, or BigQuery Exposure to MLOps or integration of AI/ML pipelines Understanding of CI/CD pipelines and DevOps practices for data workflows SnowCore Pro Certified Benefits Work on the frontlines of AI, cloud, and data innovation Collaborate with global thought leaders and enterprise clients Be part of a growing content team with creative freedom and real impact Competitive compensation and a learning-focused work environment

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10.0 years

5 - 7 Lacs

Bengaluru

On-site

JOB DESCRIPTION As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions. Job responsibilities: Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates. Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization. Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques. Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases. Liaise with firm wide AI ML stakeholders. Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements. Influence across business, product and technology teams and successfully manages senior stakeholder relationships. champion the firm's culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills: Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise MS and/or PhD in Computer Science, Machine Learning, or a related field At least 10 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience with machine learning and deep learning methods. Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search). Ability to work on system design from ideation through completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners. Practical cloud native experience such as AWS needed. Preferred qualifications, capabilities, and skills: Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Advanced knowledge in Reinforcement Learning or Meta Learning. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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7.5 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities: - Continuously evaluate and improve existing processes to enhance efficiency. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team skills and capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development: Design, build, and maintain scalable pipelines for model training to support our AI initiatives. - Model Deployment & Serving: Deploy machine learning models as robust, secure services – containerize models with Docker and serve them via FastAPI on AWS – ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference. - CI/CD Automation: Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery. - Model Lifecycle Management: Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory - Monitoring & Optimization: Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time. - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Should have Multi Cloud skills - Experience with Machine learning frameworks - Ability to implement and optimize machine learning models for production environments. Additional Information: - The candidate should have minimum 7.5 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full time education is required.

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10.0 - 15.0 years

0 Lacs

India

On-site

About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional GenAI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same Job Description: Articul8 AI is seeking a Data Scientist to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will work on machine learning models, large language models (LLMs), and AI applications while optimizing performance for production environments. This role requires expertise in AI/ML frameworks, cloud platforms, and software engineering best practices. You will be developing and deploying advanced deep learning and generative AI models and algorithms to enhance existing products or to create new products that fulfill critical business needs. In this role, you will be working closely with Product Management and Engineering teams to build GenAI products at scale. You will be responsible for transforming business needs to technical requirements and for leveraging state of the art research to develop and deliver products. You will also support Engineering with testing and validation of the product. Responsibilities: Design, develop, and deploy AI-driven solution in production that solve real-world problems at scale. Train, fine-tune, and optimize deep learning and LLM-based solutions to enhance existing products or to create new products. Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency to enhance and deliver product. Optimize models ensuring low latency and high availability for cloud and on-prem environments. Collaborate closely with engineering teams and product management to build GenAI products at scale. Work with large-scale datasets, ensuring data quality, preprocessing, and feature engineering. Develop APIs and microservices to serve AI models in production at scale. Handle large-scale datasets, preprocessing, and feature engineering to ensuring data quality. Responsible for transforming business needs to technical requirements to develop and deliver products. Stay up to date with the latest AI trends, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance Required Qualifications Master’s Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 10 to 15 years of experience In-depth knowledge and experience with algorithms for time series analysis including data pre-processing, pattern recognition, clustering, modeling and anomaly detection. Strong expertise in Deep Learning, Machine Learning and Generative AI models (including Language, Vision, Audio and Multi-modal models) Exposure to one or more of the following domains - Optimization, Stochastic Processes, Estimation theory Experience in deploying deep learning models on multiple GPUs Experience in developing models and algorithms using ML frameworks like PyTorch, TensorFlow Strong programming skills in one or more of the following languages - Python, Golang Experience in building Docker images in creating scalable, efficient, and portable applications Experience in Kubernetes for container orchestration and writing YAML manifests to define how applications and services should be deployed Knowledge of cloud platforms at least one of AWS, Azure, GCP and its services for deployment of applications Strong verbal and written communications skills. Preferred Qualifications Ph.D, in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 6 to 8 years of experience. Deep expertise and experience in training/fine-tuning large language models on large GPU clusters. Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes. Strong working experience with at least two cloud service providers (AWS, Azure GCP). Knowledge of CI/CD pipelines, MLOps like MLflow, Kubeflow, or TensorBoard. Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering. Ability to transform business needs to technical requirements, define tasks, metrics and milestones. Ability to communicate technological challenges and achievements to various stakeholders. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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12.0 years

0 Lacs

Pune, Maharashtra, India

On-site

Required Skills & Experience: • 12+ years of experience in AI/ML, data engineering, and cloud architecture. • Minimum of 10 end-to-end AI/ML project implementations from use case discovery through to productionization. • Proven expertise in: (Any One) • AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch • GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma) • Cloud platforms: AWS, Azure, GCP – including AI/ML & GenAI native services • MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines • Strong experience with data security, governance, model risk management, and AI compliance frameworks • Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders

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5.0 years

0 Lacs

New Delhi, Delhi, India

Remote

About Vibrant Brands Vibrant Brands is a leading Australian multi-branded tech company, delivering innovative, AI-driven solutions, mobile applications, and secure integrations with third-party software, including banking and finance platforms. Our modular, interconnected ecosystem powers our brands with a strong focus on security and encryption. We’re seeking a skilled Software Project Manager to lead our global, remote teams in delivering high-impact, secure projects. Role Overview As a Software Project Manager, you’ll oversee the delivery of large-scale, AI-powered software and mobile app projects with extensive third-party integrations, ensuring robust security and encryption standards. You’ll manage cross-functional teams, including AI engineers, mobile developers, backend engineers, and security specialists, to deliver seamless, hack-resistant solutions. Responsibilities include creating developer documentation, assigning tickets, and ensuring compliance with security protocols, reporting directly to the CEO and Operations Manager. Key Responsibilities Plan, execute, and deliver AI-driven software, mobile app, and third-party integration projects (e.g., banking and finance APIs) using Agile methodologies, aligning with Vibrant Brands’ modular architecture. Define project scopes, timelines, budgets, and resources for large-scale, interconnected systems, prioritizing security and encryption. Manage remote, cross-functional teams, fostering collaboration across AI, mobile, backend, and security domains. Create and maintain comprehensive developer documentation for APIs, SDKs, third-party integrations, and modular components. Assign and track development tickets using tools like Jira, ensuring clear priorities and secure development workflows. Ensure robust security practices, including high-level encryption (e.g., AES-256, TLS 1.3) and protection against potential hacks, in collaboration with security teams. Oversee integrations with third-party software, particularly banking and finance applications, ensuring compliance with standards like PCI DSS and ISO 27001. Monitor project progress, identify risks (e.g., integration failures, security vulnerabilities, AI model latency), and implement mitigation strategies. Communicate project updates, technical concepts, and security considerations to the CEO, Operations Manager, and non-technical stakeholders. Drive process improvements for managing secure, modular, and interconnected software projects. Required Qualifications Bachelor’s degree in Computer Science, Business, or a related field (Master’s, PMP, or security certification like CISSP a plus). 5+ years of experience managing software development projects, with at least 2 years focused on AI-driven, mobile, or third-party integration initiatives. Proven expertise in Agile methodologies (Scrum, Kanban) and project management tools (e.g., Jira, Confluence). Strong understanding of large-scale, modular software architecture, including microservices, APIs, cross-platform mobile development (iOS/Android), and third-party integrations. Experience creating developer documentation for APIs, SDKs, or secure systems. Knowledge of security best practices, encryption standards (e.g., AES, TLS), and compliance requirements (e.g., PCI DSS, GDPR, ISO 27001). Exceptional communication and stakeholder management skills in remote, global settings. Ability to assign and prioritize development tickets effectively across diverse, security-focused teams. Demonstrated problem-solving skills for interconnected AI, mobile, integration, and security challenges. Preferred Qualifications Experience managing projects in multi-branded tech environments with AI, mobile, and banking/finance integrations (e.g., payment gateways, fintech APIs). Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow) for AI pipelines. Knowledge of mobile app frameworks (e.g., Flutter, React Native, Swift, Kotlin) and cloud platforms (AWS, Azure, GCP) with secure configurations. Comfort working in APAC time zones (e.g., AEST overlap). Exposure to penetration testing, vulnerability assessments, or secure SDLC processes. What We Offer Competitive salary and equity options. Fully remote work with flexible hours to suit your lifestyle. Health and wellness benefits tailored to your region. Professional development budget for certifications, AI/mobile/security conferences, or courses (e.g., PMP, CISSP, MLOps). Opportunity to lead transformative, secure, and interconnected projects for a multi-branded tech leader.

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45.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

We are looking for a highly skilled and experienced AI/ML Developer with 45 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. Develop And Implement AI/ML Models The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine Responsibilities : Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization And Evaluation Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing And Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpretability. Collaboration And Communication Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment And Monitoring Deploy models to production using MLOps practices and tools (e., MLflow, Docker, Kubernetes). Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current With AI/ML Advancements Stay informed of current research, tools, and trends in AI and machine learning. Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews And Best Practices Participate in code reviews to ensure code quality, scalability, and adherence to best practices. Promote knowledge sharing and mentoring within the development Skills and Qualifications : Must have experience as a team lead. Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 45 years of experience in machine learning, artificial intelligence, or applied data science roles. Strong programming skills in Python (preferred) and/or R. Proficiency in ML libraries and frameworks, including : scikit-learn XGBoost, LightGBM TensorFlow or Keras PyTorch Skilled in data preprocessing and feature engineering, using : pandas, numpy, sklearn. preprocessing Practical experience in deploying ML models into production environments using REST APIs and containers. Familiarity with version control systems (e., Git) and containerization tools (e., Docker). Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. Understanding of software development methodologies, especially Agile/Scrum. Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications (ref:hirist.tech)

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5.0 - 7.0 years

14 - 16 Lacs

Pune, Gurugram, Bengaluru

Work from Office

Job Title: Data/ML Platform Engineer Location: Gurgaon, Pune, Bangalore, Chennai, Bhopal, Jaipur, Hyderabad (Work from office) Notice Period: ImmediateiSource Services is hiring for one of their client for the position of Data/ML Platform Engineer. As a Data Engineer you will be relied on to independently develop and deliver high-quality features for our new ML Platform, refactor and translate our data products and finish various tasks to a high standard. Youll be part of the Data Foundation Team, which focuses on creating and maintaining the Data Platform for Marktplaats. 5 years of hands-on experience in using Python, Spark,Sql. Experienced in AWS Cloud usage and management. Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow). Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch. Experience with orchestrators such as Airflow and Kubeflow. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Fundamental understanding of Parquet, Delta Lake and other data file formats. Proficiency on an IaC tool such as Terraform, CDK or CloudFormation. Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst Location - Gurgaon, Pune, Bangalore, Chennai, Bhopal, Jaipur, Hyderabad (Work from office)

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4.0 years

0 Lacs

India

Remote

About Us We’re an early-stage startup building LLM-native products that turn unstructured documents into intelligent, usable insights. We work with RAG pipelines, multi-cloud LLMs, and fast data processing — and we’re looking for someone who can build, deploy, and own these systems end-to-end. Key Responsibilities: RAG Application Development: Design and build end-to-end Retrieval-Augmented Generation (RAG) pipelines using LLMs deployed on Vertex AI and AWS Bedrock , integrated with Quadrant for vector search. OCR & Multimodal Data Extraction: Use OCR tools (e.g., Textract) and vision-language models (VLMs) to extract structured and unstructured data from PDFs, images, and multimodal content. LLM Orchestration & Agent Design: Build and optimize workflows using LangChain , LlamaIndex , and custom agent frameworks. Implement autonomous task execution using agent strategies like ReAct , Function Calling , and tool-use APIs . API & Streaming Interfaces: Build and expose production-ready APIs (e.g., with FastAPI) for LLM services, and implement streaming outputs for real-time response generation and latency optimization. Data Pipelines & Retrieval: Develop pipelines for ingestion, chunking, embedding, and storage using Quadrant and PostgreSQL , applying hybrid retrieval techniques (dense + keyword search), rerankers, GraphRAG. Serverless AI Workflows: Deploy serverless ML components (e.g., AWS Lambda, GCP Cloud Functions) for scalable inference and data processing. MLOps & Model Evaluation: Deploy, monitor, and iterate on AI systems with lightweight MLOps workflows (Docker, MLflow, CI/CD). Benchmark and evaluate embeddings, retrieval strategies, and model performance. Qualifications: Strong Python development skills (must-have). LLMs: Claude and Gemini models Experience building AI agents and LLM-powered reasoning pipelines. Deep understanding of embeddings, vector search, and hybrid retrieval techniques. Experience with Quadrant DB Experience designing multi-step task automation and execution chains. Streaming: Ability to implement and debug LLM streaming and async flows Knowledge of memory and context management strategies for LLM agents (e.g., vector memory, scratchpad memory, episodic memory). Experience with AWS Lambda for serverless AI workflows and API integrations. Bonus: LLM fine-tuning, multimodal data processing, knowledge graph integration, or advanced AI planning techniques. Prior experience at startups only ( not IT services or Enterprises) and short notice period Who You Are 2–4 years of real-world AI/ML experience, ideally with production LLM apps Startup-ready: fast, hands-on, comfortable with ambiguity Clear communicator who can take ownership and push features end-to-end Available to join immediately Why Join Us? Founding-level role with high ownership Build systems from scratch using the latest AI stack Fully remote, async-friendly, fast-paced team

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2.0 years

0 Lacs

India

Remote

WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. About PulsePoin t: PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous. Description Our Data & Analytics team is at the very heart of what makes PulsePoint an innovative, fast-paced, and market-changing company. Our path forward is through data and this team is in the driver's seat for the journey. The Big Picture : You will build, deliver & continually innovate on PulsePoint's insightful reporting and data-driven solutions. Your efforts help alleviate friction points and streamline processes that enable internal teams to provide exceptional service, powering the decisions of our customers. As a Data Engineer, ML/Data Science , you will use your data science and stats expertise to contribute to R&D projects for DTC, new Data Products, and Bespoke Segments expansion. You can work fully remotely in India, and we will provide you with a company-issued laptop. This is a FTE role. In short, you will be the conduit through which we will revolutionize health decisions through real-time data. Key Responsibilities: Write robust, modular, production-ready code in Python and SQL , following best practices in OOP , version control (Git) , and software design principles. Collaborate with other data scientists to design and productionize ML models and integrate them into end-to-end data systems. Build tools, frameworks and ETL/ELT pipelines to enable efficient data access, processing, and model deployment. Apply a working knowledge of common ML algorithms (classification, regression, clustering, etc.) to support experimentation and solution design. Here are some projects you can help with: Data science & stats-related projects Work on R&D projects for DTC Help build new Data Products Contribute to Bespoke Segments expansion Help us design and define the methodology for our measurement products and user identification Continuously improve the quality of HCP onboarding/Targeting/measurement Audience IQ/DTC product development, Identity graph/Data IQ Collaborate with internal teams to delight our customers with timely and accurate data reporting that meets all requirements Research & implement new data products or capabilities Automate data visualization and reporting capabilities that empower users (both internal and external) to access data on their own, thereby improving quality, accuracy, and speed Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities for business teams, and report the findings in a simple, compelling way Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting, or measurement Enhance PulsePoint's data reporting and insights generation capability by publishing internal reports about Health data Act as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshoot Requirements Required qualifications: 2-6 years of hands-on experience as a Data Science Engineer, ML Engineer, or similar role 4-5+ years of relevant experience in: -Strong SQL skills for querying and managing structured datasets on cloud databases like GCP, AWS, Trino etc. -Highly proficient knowledge of Excel (pivot tables, VLOOKUP, formulas, functions) -Data analysis & manipulation -Solid programming experience in Python, especially in production environments (modular design, data validation, error handling, testing) At least a Bachelor’s degree in Business Intelligence and Analytics or closely related field Practical experience with: -Knowledge of Distributed Systems and Cluster computing frameworks like Apache Spark, for large-scale data processing and machine learning with PySpark ML -Google Cloud Architecture covering BigQuery, Cloud Storage (GCS), Compute Engine VMs, Dataproc clusters -ML Pipeline Orchestration -Deploying and managing ML models, with working knowledge of Bagging & Boosting Techniques, Model performance metrics, hyperparameter tuning etc. -MLOps practices, exposure to MLflow, Vertex AI, or other MLOps tools Experience with Containerization (Docker) and Kubernetes Knowledge of Airflow, Dagster, or similar orchestration tools Proven experience in experimentation methods and Stats modeling in support of product development and optimization Willing and able to work 3:30pm-12:30am IST, you can work fully remotely Preferred qualifications: Experience with LookML & DBT Understanding of Frontend Dev Tools And one of: -ELT experience -Tableau/Looker/PowerBI -Experience with automation Able to organize large data sets to answer critical questions, extrapolate trends, and tell a story Experience in Programmatic/Adtech Familiarity with health-related data sets What are ‘red flags’ for us : Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics. Selection Process (order of these sessions may be subject to change) : 1) Online SQL Test (40 mins) 2) Initial Screen (30 mins) 3) Hiring Manager Interview (45 mins) 4) Video call w/ Sr. Data Scientist (45 mins) 4) 1:1s w/ SVP of Data (30 mins)

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3.0 - 6.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

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3.0 - 6.0 years

0 Lacs

Gurgaon, Haryana, India

On-site

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

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6.0 - 8.0 years

0 Lacs

Pune, Maharashtra, India

On-site

Dear Candidate, Greetings from TCS !!! TCS is hiring for Data Scientist, please find the below JD.. Experience range – 6 to 8 years Location - Pan india Skills Required - Python, PySpark , MLflow , Databricks AutoML Predictive Modelling ( Classification , Clustering , Regression , timeseries and NLP) Cloud platform (Azure/AWS) , Delta Lake , Unity Catalog Role& Responsibilities – Design and deploy predictive models (e.g., forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML Build end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) on Databricks Lakehouse Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions Troubleshoot issues in Spark Jobs and Databricks Environment.

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7.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

About Darwinbox We’re designing the future of work by building the world's best HR tech, driven by a fierce focus on employee experience and customer success, and continuous, iterative innovation. Founded in 2015, we now serve 1.5M+ employees in 650+ enterprises, and that includes massive conglomerates to unicorn startups, like Makemytrip, JSW, Vedanta, Mahindra, and Kotak, plus leading global brands like Nivea, Starbucks, Sephora, AXA, Cigna, T-Systems, and Calvin Klein. We’re backed by marquee investors like TCV, Salesforce, Sequoia, Lightspeed Ventures, and others. Most importantly, we’re growing at a phenomenal pace, and that means exponential growth and learning opportunities for you, plus a band of passionate and fun people to work with within a place where your ideas take precedence over your designation. Why Join Us? The rate at which our product and market presence are growing is unprecedented. We’re a Rocketship. We’re not planning on slowing down anytime soon. And, that’s why we need you! You’ll experience a culture of: Disproportionate Rewards for top performance Accelerated Growth in a hyper-growth environment Wellbeing First culture focused on employee care Continuous Learning and Professional Development Meaningful Relationships and a Collaborative Environment Role Overview We are seeking an experienced AI Architect to lead the development of our AI and Machine Learning infrastructure and specialized language models for HR applications. This role will establish and lead our MLOps practices and drive the creation of scalable, production-ready AI/ML systems. Key Responsibilities Discuss the feasibility of AI/ML use cases along with architectural design with business teams, and translate the vision of business leaders into a realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Establish comprehensive MLOps practices for model training, versioning, and deployment Lead the development of HR-specialized language models (SLMs) Implement model monitoring, observability, and performance optimization frameworks Develop and execute fine-tuning strategies for large language models Create and maintain data quality assessment and validation processes Design model versioning systems and A/B testing frameworks Define technical standards and best practices for AI development Optimize infrastructure for cost, performance, and scalability Required Qualifications 7+ years of experience in ML/AI engineering or related technical roles 3+ years of hands-on experience with MLOps and production ML systems Demonstrated expertise in fine-tuning and adapting foundation models Strong knowledge of model serving infrastructure and orchestration Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) Experience implementing model versioning and A/B testing frameworks Strong background in data quality methodologies for ML training Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with cloud-based ML platforms (AWS, Azure, Google Cloud) Proven track record of deploying ML models at scale Preferred Qualifications Experience developing AI applications for enterprise software domains Knowledge of distributed training techniques and infrastructure Experience with retrieval-augmented generation (RAG) systems Familiarity with vector databases (Pinecone, Weaviate, Milvus) Understanding of responsible AI practices and bias mitigation Bachelor's or Master's degree in Computer Science, Machine Learning, or related field What We Offer Opportunity to shape AI strategy for a fast-growing HR technology leader Collaborative environment focused on innovation and impact Competitive compensation package Professional development opportunities Flexible work arrangements Qualified candidates who are passionate about applying cutting-edge AI to transform HR technology are encouraged to apply.

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