11+ Roadmaps management Jobs in Hyderabad | Roadmaps management Job openings in Hyderabad

What will you be doing at Enalo?

• Understand the problem statement and derive potential product solutions.
• Conduct market research, competitor analysis and user research.
• Collaborate with multiple teams to take the product forward.
• Participate in product strategy, build a roadmap and execute to bring products to life.
• Manage product requirement definition and feature identification for future initiatives, including documentation of prioritized feature sets and use cases.
• Lead the development and QA teams at the appropriate times to realise the goals of the product.
• Own scrum and all the related activities like sprint planning, and release.
• Create user stories and use cases for product features.
• Look for roadblocks and mitigate risks.
• Organize daily stand-ups, brainstorming and review sessions.
• Maintain backlogs and prioritize them effectively.
• Experience the product as an end-user and identify gaps to make the product better. And ensure users can see the value of the product!
• Craft product presentations and do demos.
• Define product metrics and speak through data.
• Be a driving force in assembling the resources necessary to ship high-impact products and features, and facilitate communication throughout the development process.
• Work with the release process and support teams to ensure that the product is released successfully and any issues in production are resolved quickly.
• Measure and analyse the success of a product or feature using internal tools as well as tools like Google Analytics
• Efficiently manage agile development of the product.
• Contribute to the product's 'Go To Market' Strategy.

Skills required :

• Strong familiarity with product development, user flows and UI experience.
• Proven ability to successfully manage all phases of the product development lifecycle.
• Expertise with web/mobile analytic tools.
• Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
• Strong understanding of agile management (Scrum).
• Ability to break the ground through research and data analysis.
• Good collaboration, design thinking and presentation skills.
• Affinity to marketing.
• Preferred experience in product development as an engineer
• Preferred experience in a product company
• Experience in building or working with an early-stage tech product startup would be a plus.
• Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
• Experience in B2B SaaS/Payments will be added advantage.

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Preferred Skills and qualification:

·      6+ years of strong experience in developing and maintaining AS/400 software applications.

·      Experience with multiple programing languages and systems

·      Experience with RPGLE Programming,

·      Experience with ILE Advanced concepts (Procedures, Service programs, Functions, Full Free RPG coding syntax)

·      Experience with SQL concepts and programming.

·      The ability to effectively work independently and as part of a SCRUM team providing direction and mentorship to others as needed.

·      Demonstrated project discipline and experience. Must be organized, focused, and driven toward established deliverable dates. Must be able to design solutions and form/drive related plans.

• Communicating with customers, making outbound calls to potential customers and following up on leads.
• Understanding customers' needs and identifying sales opportunities.
• Answering potential customers' questions and sending additional information per email.
• Keeping up with product and service information and updates.
• Creating and maintaining a database of current and potential customers.
• Explaining and demonstrating features of products and services.
• Staying informed about competing products and services.
• Upselling products and services.
• Researching and qualifying new leads.
• Closing sales and achieving sales targets.

Job Overview: We are seeking a dedicated Senior Statistical Programmer to join our dynamic team. You will be responsible for the development, quality control, and documentation of statistical (SAS) programming deliverables for clinical research studies.

Key Responsibilities:

1.      Lead and oversee the development of SAS programs for the management and statistical analysis of clinical trial data.

2.      Develop, test, and validate statistical tables, listings, and graphs (TLGs) in support of the statistical analysis plan.

3.      Support the generation and review of protocols, data management plans, study reports, and other regulatory documents.

4.      Provide input to the statistical analysis plan, table shells, data integration plans, and mock-ups.

5.      Ensure data quality by designing and validating key data checks and listings.

6.      Develop specifications for derived datasets and perform data transformation as necessary.

7.      Collaborate effectively with data management and biostatistics teams, clinicians, and other project stakeholders.

8.      Guide junior programmers and provide mentoring as needed.

9.      Keep abreast of new developments in SAS programming and clinical research, and act as a subject matter expert for the team.

Required Qualifications and Skills:

1.      Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or a related field.

2.      Minimum of 3 plus years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.

3.      Excellent SAS programming skills and proficiency in SAS/Base, SAS/Macro, SAS/Graph, and SAS/STAT.

4.      Familiarity with CDISC SDTM and ADaM data standards.

5.      In-depth understanding of clinical trial data and extremely complex statistical methods.

6.      Excellent problem-solving skills and a proactive approach to identifying and resolving issues.

7.      Strong written and verbal communication skills, with the ability to translate complex data into understandable results.

8.      Proficiency in English, with excellent written and verbal communication skills.

9.      Prior experience leading teams or projects is highly desirable.

Preferred Skills:

1.      Experience in oncology, immunology, respiratory, infectious diseases, or neurosciences is a plus.

2.      Knowledge of other statistical software such as R or Python is a plus.

3.      Knowledge of regulatory guidelines (FDA/EMA/ICH) is preferred.

• 4- 10 years of experience in Java Developer
• Programming experience in Java Spring Boot, Springboot
• Strong understanding of Data Structures and Algorithms
• API-Driven Development - Solid experience in RESTful , and Microservices development
• Experience in working with one of the concurrency frameworks like Mono,
• Experience working in ORM frameworks like Entity, Hibernate, Dapper
• Strong relational database experience in either Oracle, MS SQL, or Postgres
• Knowledge on frontend technologies such as JavaScript, HTML, CSS, and modern JavaScript frameworks (React, Angular, etc.).

Role

Front-end engineers at AssetSprout work on our products. They include software for Certified Financial Planners, their clients, and also internal admin tools. They work with the founders, product designers, and backend engineers and deliver towards the company’s vision.

Responsibilities

• Develop and own product features end to end in a scalable, secure and maintainable way. The buck stops with you on whatever you own.
• Provide technical solutions through design, architecture and implementation. Wear multiple hats in delivering greenfield projects from concept to production. 
• Work with the product and design team in understanding and shaping the customer experience.
• Establish, advocate and bring your experience on coding styles, best practices, and in scaling the product from MVP to production.
• Iterate fast. Display maturity in prioritizing towards velocity while balancing quality. As a startup, we break or make on how fast we deliver.
• Teach and mentor other front-end engineers. Focus on providing technical expertise and solutions regardless of how long one has been working professionally.

Requirements

• Professional experience working with any of the front-end frameworks such as React, Angular, Vue, Ember etc.
• Solid expert level understanding of Semantic HTML, CSS and JavaScript concepts.
• Have written automated tests with any of the frameworks such as Jest, Mocha, Jasmine, AVA, Karma etc.
• Able to use CI/CD tools such as CircleCI, GitLab, Jenkins etc. and create workflows and pipelines to release to production every other day.
• Good understanding of how a browser parses and renders a web page.
• Understand HTTP requests, Restful APIs and web applications.
• Strong understanding of AWS cloud computing platform and being able to leverage its various services such as CodePipeline, CodeBuild, EKS, ECS etc.

Good-to-haves

• Early or mid-stage startup experience
• Eager to work in a flat organization with no corporate politics
• Positive energy with a get-it-done attitude.
• Worked in a remote environment and high trust and high responsibility role
• Working knowledge of build systems like Gradle, Maven, Bazel, Webpack etc.
• Understand databases, RDMS, and work with SQL

Title:                  Senior Dynamics AX F&0 Functional  consultant

Position:          Full Time

Location:          Hyderabad, India

Job Hours:        1.30 PM to 10:30 PM IST 

Exp Level :            6 to 9 Years 

Responsibilities :

• Provide input regarding Dynamics AX capabilities and functionality to our clients
• Develop an understanding of our clients’ business needs to define systems requirements for Dynamics AX
• Document business requirements for implementation using Microsoft Sure Step Methodology
• Act as the liaison between the business users and the IT implementation core team
• Test the functionality developed by the implementation team against the business requirements
• Full end to end life cycle Dynamics AX projects with emphasis on the finance /Production/Trade & Logistics modules etc.
• Ensuring project scope and responsibilities are clearly articulated to enable effective management of client expectations and project change control.
• Identifying opportunities to deliver additional solutions within the existing client base.
• Provide training to business users on implemented module.

Qualifications :

• Expertise in Microsoft Dynamics Axapta functional resource with 6+ years of experience across the modules
• Demonstrated ability to deliver ERP implementation projects to a structured project and software development methodology in a consulting environment.
• Demonstrated ability to deliver training and consulting in Dynamics Axapta
• Excellent communications skills with both technical and non-technical people.
• High energy, self-motivation and integrity.
• Good at people management and should have 4+ years of experience working as a functional lead and handling a team.