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Python
DockerJob Description
Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.
Role & Responsibilities
- Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
- LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
- Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
- Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
- Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
- Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.
Preferred Candidate Profile
- Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
- Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
- Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
- AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
- Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
- MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
- Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
- Education: Degree in Computer Science, Data Engineering, or related field.
Perks and Benefits
- Competitive Compensation: INR 20L to 30L per year.
- Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.
Kubernetes
Amazon Web Services (AWS)Required Skills:
- Experience in systems administration, SRE or DevOps focused role
- Experience in handling production support (on-call)
- Good understanding of the Linux operating system and networking concepts.
- Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
- Experience with Docker containers and containerization concepts
- Experience with managing and scaling Kubernetes clusters in a production environment
- Experience building scalable infrastructure in AWS with Terraform.
- Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
- Experience monitoring production systems
- Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
- HAProxy, Nginx, SSH, MySQL configuration and operation experience
- Ability to work seamlessly with software developers, QA, project managers, and business development
- Ability to produce and maintain written documentation
• Developing spreadsheets for power system calculations.
• Writing a study report with result analysis and conclusion with relevant information in proper format.
• Performing basic studies (i.e., load flow, short-circuit).
• Developing network model in ETAP, PSS/E.
Requirements:
• Good English skills – written and spoken.
• IT knowledge (MS Office, MS Excel)
• Willingness to adapt to job requirements
• Good organization and time management skills
• Willingness to work (and learn) in distinct aspects of engineering and renewable sector.
• Problem-solving skills and ability to produce out-of-box solutions.
• Self-initiated and passionate to take up technical challenges and explore new areas.
• Well versed and passionate to learn and study about the renewable energy sector.
Technical Skills:
• Knowledge of Power System analysis, power system dynamics.
• Apply technical and analytical skills to study outcome.
• Having knowledge of ETAP, PSS/E, Powerfactory DigSilent or PSCAD.
The Visual Experience Designer will play a pivotal role in inspiring customer and user delight, as
well as consistently push edges of the discipline, growing self and company brand value.
What you can gain-
-
work on projects that push the boundaries of technology for a diversity of industries, touch- points, and mediums
-
exposure to and involvement with many parts of the design process: research, collaborative brainstorming, storyboarding and strategy, visual mockup design, prototyping micro moments, working with engineering
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work with people from diverse backgrounds and cultures
-
experience the entire journey of the product lifecycle from ideas on the canvas to its
functioning in reality, and moments that allow the community to pause and connect
-
nurture yourself as an expert consultant
Value you can achieve-
-
use the language and power of visuals for crafting meaningful connections between the brand, product, and its users
-
wear multiple hats; from being a team lead, to a team player, and an individual contributor
-
shaping desirable, feasible, and viable experience design outcomes strategically aligning
brand, product, and user goals
-
taking a methodical approach that uses empathy, innovative thinking, and a rationale
mindset to solve critical business problems
-
exploring divergent concepts, and converging meaningful insights for weaving practical and
delightful product experiences
What will be needed-
-
a passionate design practitioner, who is self taught or with bachelors/masters degree in design
-
5 years and above of relevant industry experience with a strong showcase of shipping B2B and B2C products
-
a good listener, receptive to feedback, and clear in articulating the impact of your design in verbal and visual presentation i.e. mood-boards, brand and product story (grid, iconography, typography, color strategy, ...) visual mockups, clickable prototypes, design systems
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collaborate with UI development teams for a pixel-perfect implementation of the envisioned ideas keeping in mind industry best practices for performance, adaptability, and accessibility
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be proficient in designing experiences for multiple platforms (desktop, web, mobile)
-
be conversant with the digital product industry landscape, the experience design trends and
its mindful application in your design solutions
-
have the ability to seamlessly work from remote locations, and with remote cross-functional
teams, in an agile environment
-
be proficient with popular design, collaboration, and prototyping tools
-
active interest and demonstrated experience in thought leadership (events, conferences,
webinars, papers, blogs, etc.) will be a big plus.
Responsibilities:
● Make outbound calls to potential customers and explain the benefits of Mag Finserv's
gold loan products.
● Qualify leads and ensure that they meet the eligibility criteria for a gold loan.
● Build and maintain a positive relationship with customers and provide excellent
customer service.
● Achieve monthly sales targets and contribute to the growth of the company.
● Follow up with customers to ensure timely repayment of the loan.
JavaExperience: 2-6 Years
Datametica is looking for talented Java engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.
Job Responsibilities:
- 2-6 years, having hands-on experience in coding, usually in a pair programming environment providing solutions to real problems in the Big Data world
- Working in highly collaborative teams and building quality code
- Working in lots of different domains and client environments also understanding the business domain deeply
- Engineers highly scalable, highly available, reliable, secure, and fault-tolerant systems with minimal guidance
- Create platforms, reusable libraries, and utilities wherever applicable
- Continuously refactor applications to ensure high-quality design
- Choose the right technology stack for the product systems/subsystems
- Write high-quality code that are modular, functional, and testable; Establish the best coding practices
- Formally mentor junior engineers on design, coding, and troubleshooting
- Plan projects using agile methodologies and ensure timely delivery
- Communicate, collaborate and work effectively in a global environment
Required Skills:
- Proficient in Core Java technology stack
- Design and implement low latency RESTful services; Define API contracts between services; Expertise in API design and development, experience in dealing with a large dataset
- Should have worked on Spring boot
- Practicing the coding standards (clean code, design patterns, etc)
- Good understanding of branching, build, deployment, continuous integration methodologies
- Ability to make decisions independently
- Strong experience in collections.
React Native
iOS App Development
Android Development- Deep knowledge of ( List here the mobile platforms on which the app runs,
e.g., Android, iOS, etc. )
- Developing new features and user interfaces from wireframe models
- Ensuring the best performance and user experience of the application
- Fixing bugs and performance problems
- Writing clean, readable, and testable code
- Cooperating with back-end developers, designers, and the rest of the team
to deliver well-architected and high-quality solutions
React.js
Redux/Flux
HTML/CSSiOS App Development
Objective C
Swift
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