Research Scientist - Machine Learning/Artificial Intelligence

Skill Sets:

• Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow)
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models
• Strong experience in NLP, fine-tuning transformer models, and dataset preparation
• Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI)
• Experience in containerization (Docker, Kubernetes) and CI/CD pipelines
• Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning)
• Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection

Roles and Responsibilities:

• Design and implement end-to-end ML pipelines from data ingestion to production
• Develop, fine-tune, and optimize ML models, ensuring high performance and scalability
• Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc)
• Automate model retraining, monitoring, and drift detection
• Collaborate with engineering teams for seamless ML integration
• Mentor junior team members and enforce best practices

Responsibilities:

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
• Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
• Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
• Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
• Supporting and contributing to development guidelines and standards for data ingestion.
• Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
• Designing and documenting the development & deployment flow.

Requirements:

• Experience in developing rest API services using one of the Scala frameworks.
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

Position: Manager/Sr. Manager - Presales 

Location: Mumbai / Delhi 

About NxtGen 

NxtGen is an emerging leader in data center and cloud4based services that help powering businesses to grow by cutting through complexity and saving on cost. 

Our advanced solutions can be provided both from our own High Density Data Center (HDDC™) facilities or deployed at On4Premise Data Centers (OPDC™) that are managed centrally. 

Our Enterprise Cloud Services™ (ECS) provide private and public clouds or hybrid cloud infrastructure hosted on OPDC™ or HDDC™. NxtGen’s advanced infrastructure enable companies to simplify IT infrastructure, reduce running costs, and enable business growth by creating additional capacity from existing infrastructure. By providing the right public or private infrastructure, NxtGen helps companies meet dynamic business demands. 

With the support and trust of Intel Capital, Axon Partners, and International Finance Corporation (IFC), NxtGen continues to push the boundaries of the IT infrastructure domain with its unique and cost-effective solution. 

To know more about us log on to www.nxtgen.com , https://www.youtube.com/watch?v=s6GNShHFRRg 

Job Overview 

• • Responsible for technical and business requirements, discovery, proposal preparation support and technical presentations to customers for NxtGen’s full suite of products and solutions. 
• • Serves as technical consultant for: Cloud, hosting, Virtualization, and Managed Services. 
• • The presales manager is also responsible for providing technical training for the sales team. 

Job Responsibilities 

• • Performs customer discovery discussions to understand and document business needs and design requirements necessary for the formulation of optimal solutions 
• • Creatively designs solutions for customers using the best mix of NxtGen’s, products. Alters the design as needed to result in the customer choosing the NxtGen’s solution 
• • Determine client requirements and provide designs for Hosting Services, Cloud, Virtualization (VMware, KVM, Hyper4v) Outsourced infrastructure solutions (managed and un4managed), specialized Enterprise application suites 
• • Conceptual and working knowledge of AWS/Azure/Google Cloud. 
• • Provide technical expertise during requirements gathering and analysis, document technical designs and support manuals, and drive test and deployment processes for Hadoop Cluster 
• • Conceptual knowledge on various distributions of Hadoop. 
• • Working knowledge on various Backup technologies like Symantec, Commvault. 
• • Creatively design DR solutions for customers understanding their current infrastructure by using third party tools or in-built replication technologies. 

• • Possess knowledge on Dockers, Containers & Dev Ops. 
• • Understand power, cooling, and other environmental constraints on a client’s outsourced infrastructure 
• • Develop and grow technical knowledge base in Hosting Services, Cloud, Virtualization, Outsourced infrastructure solutions (managed and unmanaged), specialized Enterprise application suites 

• • Documents, via diagrams and writing, and presents the solution to the customer, describes the benefits of the solution 
• • Builds relationships with customers serving as the technical liaison from sales to post4sales 
• • Responsible for growing strategic product sales and revenue through proactive engagement with customers 
• • Participates in strategic and tactical account planning 
• • Follows industry technology trends through self4study and formal training and shares that knowledge with customers 
• • Clearly communicates the customer design to the teams responsible for ordering, implementation, and ongoing support 
• • Provides technical training and development support to the local branch 
• • Leads internal cross4functional teams to obtain required approvals of non4standard designs for customers 
• • Provide sales engineering support remotely across multiple time zones 
• • Travel for customer and team meetings 

NxtGen is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, national origin, disability, age, military status or veteran status, genetic information, or any other status protected by applicable law. 

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases